diff --git a/onert-micro/onert-micro/include/core/OMKernelData.h b/onert-micro/onert-micro/include/core/OMKernelData.h
index 64bf96f0521..c3d7a3fc9f6 100644
--- a/onert-micro/onert-micro/include/core/OMKernelData.h
+++ b/onert-micro/onert-micro/include/core/OMKernelData.h
@@ -42,6 +42,12 @@ struct ConcatenationParams
   uint32_t axis;
 };
 
+struct CumSumParams
+{
+  bool exclusive;
+  bool reverse;
+};
+
 struct SoftmaxParams
 {
   float beta;
diff --git a/onert-micro/onert-micro/include/pal/common/PALCumSum.h b/onert-micro/onert-micro/include/pal/common/PALCumSum.h
new file mode 100644
index 00000000000..ea6595ee7f4
--- /dev/null
+++ b/onert-micro/onert-micro/include/pal/common/PALCumSum.h
@@ -0,0 +1,99 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2021 The TensorFlow Authors. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ONERT_MICRO_PAL_CUM_SUM_COMMON_H
+#define ONERT_MICRO_PAL_CUM_SUM_COMMON_H
+
+#include "core/OMKernelData.h"
+#include "core/OMRuntimeShape.h"
+
+using namespace onert_micro::core;
+
+namespace onert_micro::execute::pal
+{
+
+template <typename T>
+OMStatus CumSum(const CumSumParams &params, const OMRuntimeShape &input_shape, const T *input_data,
+                int32_t axis, T *output_data)
+{
+  const int32_t rank = input_shape.dimensionsCount();
+
+  int32_t inner_size = 1;
+  int32_t outer_size = 1;
+  int32_t depth_size = 1;
+
+  for (int32_t i = 0; i < rank; ++i)
+  {
+    if (i < axis)
+      inner_size *= input_shape.dims(i);
+
+    else if (i > axis)
+      outer_size *= input_shape.dims(i);
+
+    else
+      depth_size *= input_shape.dims(i);
+  }
+
+  // clang-format off
+
+  auto get_adj_index_fn = [reverse = params.reverse](int32_t index, int32_t dims)
+  {
+    if (!reverse)
+      return index;
+
+    return (dims - 1) - index;
+  };
+
+  // clang-format on
+
+  for (int32_t outer = 0; outer < outer_size; ++outer)
+  {
+    int32_t outer_adj = get_adj_index_fn(outer, outer_size);
+
+    for (int32_t inner = 0; inner < inner_size; ++inner)
+    {
+      T accumulator = 0;
+      int32_t inner_adj = get_adj_index_fn(inner, inner_size);
+
+      for (int32_t depth = 0; depth < depth_size; ++depth)
+      {
+        int32_t depth_adj = get_adj_index_fn(depth, depth_size);
+        int32_t index = outer_adj;
+
+        index += inner_adj * depth_size * outer_size;
+        index += depth_adj * outer_size;
+
+        if (params.exclusive)
+        {
+          output_data[index] = accumulator;
+          accumulator += input_data[index];
+
+          continue;
+        }
+
+        accumulator += input_data[index];
+        output_data[index] = accumulator;
+      }
+    }
+  }
+
+  return Ok;
+}
+
+} // namespace onert_micro::execute::pal
+
+#endif // ONERT_MICRO_PAL_CUM_SUM_COMMON_H
diff --git a/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst b/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
index 23c59c6a2ff..2e056a78d51 100644
--- a/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
+++ b/onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
@@ -5,6 +5,7 @@ REGISTER_KERNEL(AVERAGE_POOL_2D, AveragePool2D)
 REGISTER_KERNEL(ARG_MAX, ArgMax)
 REGISTER_KERNEL(ARG_MIN, ArgMin)
 REGISTER_KERNEL(CONCATENATION, Concatenation)
+REGISTER_KERNEL(CUMSUM, CumSum)
 #/*REGISTER_KERNEL(CUSTOM, BroadcastTo)*/
 REGISTER_KERNEL(BATCH_TO_SPACE_ND, BatchToSpaceND)
 REGISTER_KERNEL(CEIL, Ceil)
diff --git a/onert-micro/onert-micro/include/test_models/TestDataBase.h b/onert-micro/onert-micro/include/test_models/TestDataBase.h
index 4fc6373938e..d44458510b3 100644
--- a/onert-micro/onert-micro/include/test_models/TestDataBase.h
+++ b/onert-micro/onert-micro/include/test_models/TestDataBase.h
@@ -18,10 +18,10 @@
 #define ONERT_MICRO_TEST_MODELS_TEST_DATA_BASE_H
 
 #include <vector>
+#include <cstdint>
+#include <cassert>
 
-namespace onert_micro
-{
-namespace test_model
+namespace onert_micro::test_model
 {
 
 template <typename T, typename U = T> class TestDataBase
@@ -32,7 +32,17 @@ template <typename T, typename U = T> class TestDataBase
   virtual const unsigned char *get_model_ptr() = 0;
 
   virtual const std::vector<T> &get_input_data_by_index(int i) = 0;
+
   virtual const std::vector<U> &get_output_data_by_index(int i) = 0;
+
+  // clang-format off
+
+  virtual const uint8_t *get_input_data_ptr_by_index(int i, int32_t &size)
+  {
+    return nullptr;
+  }
+
+  // clang-format on
 };
 
 class NegTestDataBase
@@ -42,7 +52,6 @@ class NegTestDataBase
   virtual const unsigned char *get_model_ptr() = 0;
 };
 
-} // namespace test_model
-} // namespace onert_micro
+} // namespace onert_micro::test_model
 
 #endif // ONERT_MICRO_TEST_MODELS_TEST_DATA_BASE_H
diff --git a/onert-micro/onert-micro/include/test_models/cum_sum/FloatCumSumKernel.h b/onert-micro/onert-micro/include/test_models/cum_sum/FloatCumSumKernel.h
new file mode 100644
index 00000000000..086a630d54c
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/cum_sum/FloatCumSumKernel.h
@@ -0,0 +1,299 @@
+/*
+ * Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ONERT_MICRO_TEST_MODELS_FLOAT_CUMSUM_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_FLOAT_CUMSUM_KERNEL_H
+
+#include "TestDataCumSumBase.h"
+
+// clang-format off
+
+namespace onert_micro::test_model
+{
+namespace cumsum_float
+{
+
+/*
+ * CumSum Kernel:
+ *
+ * Input(1, 1, 2, 4): Float32
+ *           |
+ *   CumSum(axis=2: Int32)
+ *           |
+ * Output(1, 1, 2, 4): Float32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x78, 0x01, 0x00, 0x00, 0x94, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x66,
+  0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00,
+  0x40, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xa4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
+  0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00,
+  0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c,
+  0x65, 0x00, 0x00, 0x00
+};
+
+const std::vector<float> input_data = { 1, 2, 3, 4, 5, 6, 7, 8 };
+const std::vector<float> reference_output_data = { 1, 2, 3, 4, 6, 8, 10, 12 };
+
+} // namespace cumsum_float
+
+// ------------------------------------------------------------------------------------------------
+
+namespace cumsum_float_two_inputs
+{
+
+/*
+ * CumSum Kernel:
+ *
+ * Input(1, 1, 2, 4): Float32  Axis(scalar=3): Int32
+ *      |                        |
+ *      ---------CumSum-----------
+ *                  |
+ *        Output(1, 1, 2, 4) : Float32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x68, 0x01, 0x00, 0x00, 0x84, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x1c, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x88, 0xff, 0xff, 0xff, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff, 0x94, 0xff, 0xff, 0xff,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00,
+  0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x66, 0x10, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00,
+  0x40, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xa4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
+  0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00,
+  0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c,
+  0x65, 0x00, 0x00, 0x00
+};
+
+const std::vector<int32_t> axis_data = { 3 };
+const std::vector<float> input_data = { 1, 2, 3, 4, 5, 6, 7, 8 };
+const std::vector<float> reference_output_data = { 1, 3, 6, 10, 5, 11, 18, 26 };
+
+} // namespace cumsum_float_two_inputs
+
+// ------------------------------------------------------------------------------------------------
+
+namespace cumsum_float_reverse
+{
+
+/*
+ * CumSum Kernel:
+ *
+ *    Input(1, 1, 2, 4): Float32
+ *                |
+ * CumSum(axis=2: Int32, reverse=True)
+ *                |
+ *   Output(1, 1, 2, 4): Float32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x48, 0x00, 0x00, 0x00, 0x84, 0x01, 0x00, 0x00, 0xa0, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x34, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff, 0xfc, 0xff, 0xff, 0xff,
+  0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00,
+  0x6c, 0x00, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x66, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x07, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xa4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x10, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00
+};
+
+const std::vector<float> input_data = { 1, 2, 3, 4, 5, 6, 7, 8 };
+const std::vector<float> reference_output_data = { 6, 8, 10, 12, 5, 6, 7, 8 };
+
+} // namespace cumsum_float_reverse
+
+// ------------------------------------------------------------------------------------------------
+
+namespace cumsum_float_exclusive
+{
+
+/*
+ * CumSum Kernel:
+ *
+ *    Input(1, 1, 2, 4): Float32
+ *                |
+ * CumSum(axis=2: Int32, exclusive=True)
+ *                |
+ *   Output(1, 1, 2, 4): Float32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x48, 0x00, 0x00, 0x00, 0x84, 0x01, 0x00, 0x00, 0xa0, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x34, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff, 0xfc, 0xff, 0xff, 0xff,
+  0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00,
+  0x6c, 0x00, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x66, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x07, 0x00, 0x06, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xa4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x10, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00
+};
+
+const std::vector<float> input_data = { 1, 2, 3, 4, 5, 6, 7, 8 };
+const std::vector<float> reference_output_data = { 0, 0, 1, 2, 4, 6, 9, 12 };
+
+} // namespace cumsum_float_exclusive
+
+// ------------------------------------------------------------------------------------------------
+
+class TestDataFloatCumSum : public TestDataCumSumBase<float>
+{
+public:
+  TestDataFloatCumSum()
+  {
+    _input_data = cumsum_float::input_data;
+    _reference_output_data = cumsum_float::reference_output_data;
+    _test_kernel_model_circle = cumsum_float::test_kernel_model_circle;
+  }
+
+  ~TestDataFloatCumSum() override = default;
+};
+
+// ------------------------------------------------------------------------------------------------
+
+class TestDataTwoInputsFloatCumSum : public TestDataCumSumBase<float>
+{
+public:
+  TestDataTwoInputsFloatCumSum()
+  {
+    _input_data = cumsum_float_two_inputs::input_data;
+    _axis_data = cumsum_float_two_inputs::axis_data;
+    _reference_output_data = cumsum_float_two_inputs::reference_output_data;
+    _test_kernel_model_circle = cumsum_float_two_inputs::test_kernel_model_circle;
+  }
+
+  ~TestDataTwoInputsFloatCumSum() override = default;
+};
+
+// ------------------------------------------------------------------------------------------------
+
+class TestDataReverseFloatCumSum : public TestDataCumSumBase<float>
+{
+public:
+  TestDataReverseFloatCumSum()
+  {
+    _input_data = cumsum_float_reverse::input_data;
+    _reference_output_data = cumsum_float_reverse::reference_output_data;
+    _test_kernel_model_circle = cumsum_float_reverse::test_kernel_model_circle;
+  }
+
+  ~TestDataReverseFloatCumSum() override = default;
+};
+
+// ------------------------------------------------------------------------------------------------
+
+class TestDataExclusiveFloatCumSum : public TestDataCumSumBase<float>
+{
+public:
+  TestDataExclusiveFloatCumSum()
+  {
+    _input_data = cumsum_float_exclusive::input_data;
+    _reference_output_data = cumsum_float_exclusive::reference_output_data;
+    _test_kernel_model_circle = cumsum_float_exclusive::test_kernel_model_circle;
+  }
+
+  ~TestDataExclusiveFloatCumSum() override = default;
+};
+
+} // namespace onert_micro::test_model
+
+#endif // ONERT_MICRO_TEST_MODELS_FLOAT_CUMSUM_KERNEL_H
diff --git a/onert-micro/onert-micro/include/test_models/cum_sum/IntCumSumKernel.h b/onert-micro/onert-micro/include/test_models/cum_sum/IntCumSumKernel.h
new file mode 100644
index 00000000000..34a40ec45ee
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/cum_sum/IntCumSumKernel.h
@@ -0,0 +1,161 @@
+/*
+ * Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ONERT_MICRO_TEST_MODELS_INT_CUMSUM_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_INT_CUMSUM_KERNEL_H
+
+#include "TestDataCumSumBase.h"
+#include <cstddef>
+
+// clang-format off
+
+namespace onert_micro::test_model
+{
+namespace cumsum_int32
+{
+
+/*
+ * CumSum Kernel:
+ *
+ * Input(1, 1, 2, 4): Int32
+ *           |
+ *   CumSum(axis=2: Int32)
+ *           |
+ * Output(1, 1, 2, 4): Int32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x74, 0x01, 0x00, 0x00, 0x90, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x66,
+  0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00,
+  0x38, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xac, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xdc, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00,
+  0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00
+};
+
+const std::vector<int32_t> input_data = { 1, 2, 3, 4, 5, 6, 7, 8 };
+const std::vector<int32_t> reference_output_data = { 1, 2, 3, 4, 6, 8, 10, 12 };
+
+} // namespace cumsum_int
+
+// ------------------------------------------------------------------------------------------------
+
+namespace cumsum_int64
+{
+
+/*
+ * CumSum Kernel:
+ *
+ * Input(1, 1, 2, 4): Int64
+ *           |
+ *   CumSum(axis=2: Int32)
+ *           |
+ * Output(1, 1, 2, 4): Int64
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x74, 0x01, 0x00, 0x00, 0x90, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x66,
+  0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00,
+  0x38, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xac, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xdc, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00,
+  0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00
+};
+
+const std::vector<int64_t> input_data = { 1, 2, 3, 4, 5, 6, 7, 8 };
+const std::vector<int64_t> reference_output_data = { 1, 2, 3, 4, 6, 8, 10, 12 };
+
+} // namespace cumsum_int64
+
+// ------------------------------------------------------------------------------------------------
+
+class TestDataInt32CumSum : public TestDataCumSumBase<int32_t>
+{
+public:
+  TestDataInt32CumSum()
+  {
+    _input_data = cumsum_int32::input_data;
+    _reference_output_data = cumsum_int32::reference_output_data;
+    _test_kernel_model_circle = cumsum_int32::test_kernel_model_circle;
+  }
+
+  ~TestDataInt32CumSum() override = default;
+};
+
+// ------------------------------------------------------------------------------------------------
+
+class TestDataInt64CumSum : public TestDataCumSumBase<int64_t>
+{
+public:
+  TestDataInt64CumSum()
+  {
+    _input_data = cumsum_int64::input_data;
+    _reference_output_data = cumsum_int64::reference_output_data;
+    _test_kernel_model_circle = cumsum_int64::test_kernel_model_circle;
+  }
+
+  ~TestDataInt64CumSum() override = default;
+};
+
+} // namespace onert_micro::test_model
+
+#endif // ONERT_MICRO_TEST_MODELS_INT_CUMSUM_KERNEL_H
diff --git a/onert-micro/onert-micro/include/test_models/cum_sum/NegCumSumKernel.h b/onert-micro/onert-micro/include/test_models/cum_sum/NegCumSumKernel.h
new file mode 100644
index 00000000000..a9692e27742
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/cum_sum/NegCumSumKernel.h
@@ -0,0 +1,226 @@
+/*
+ * Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ONERT_MICRO_TEST_MODELS_NEG_CUMSUM_KERNEL_H
+#define ONERT_MICRO_TEST_MODELS_NEG_CUMSUM_KERNEL_H
+
+#include "TestDataCumSumBase.h"
+
+// clang-format off
+
+namespace onert_micro::test_model
+{
+namespace neg_cumsum_axis_shape_mismatch
+{
+
+/*
+ * CumSum Kernel with axis shape mismatch (should be a scalar):
+ *
+ * Input(1, 1, 2, 4): Int32
+ *           |
+ *   CumSum(axis=[2])
+ *           |
+ * Output(1, 1, 2, 4): Int32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x7c, 0x01, 0x00, 0x00, 0x98, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x66,
+  0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x78, 0x00, 0x00, 0x00,
+  0x40, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xa0, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
+  0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f,
+  0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63,
+  0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00
+};
+
+} // namespace neg_cumsum_axis_shape_mismatch
+
+// ------------------------------------------------------------------------------------------------
+  
+namespace neg_cumsum_axis_type_mismatch
+{
+
+/*
+ * CumSum Kernel with axis shape mismatch (should be Int32):
+ *
+ * Input(1, 1, 2, 4): Int32
+ *           |
+ *   CumSum(axis=2: Float32)
+ *           |
+ * Output(1, 1, 2, 4): Int32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x68, 0x01, 0x00, 0x00, 0x84, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x40, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xe0, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00,
+  0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c,
+  0x65, 0x00, 0x00, 0x00
+};
+
+} // namespace neg_cumsum_axis_type_mismatch
+
+// ------------------------------------------------------------------------------------------------
+
+namespace neg_cumsum_input_shape_mismatch
+{
+
+/*
+ * CumSum Kernel with input shape mismatch (can't be a scalar):
+ *
+ *    Input(): Float32
+ *           |
+ *  CumSum(axis=2: Int32)
+ *           |
+ *   Output(): Int32
+ */
+
+const unsigned char test_kernel_model_circle[] = {
+  0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x44, 0x00, 0x00, 0x00, 0x58, 0x01, 0x00, 0x00, 0x74, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x8c, 0xff, 0xff, 0xff, 0x90, 0xff, 0xff, 0xff,
+  0x94, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00,
+  0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x68, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x66,
+  0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x04, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xb4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
+  0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x69, 0x73, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x7f, 0x11, 0x00, 0x00, 0x00,
+  0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c,
+  0x65, 0x00, 0x00, 0x00
+};
+
+} // namespace neg_cumsum_input_shape_mismatch
+
+// ------------------------------------------------------------------------------------------------
+
+class NegTestDataCumSumAxisShapeMismatch : public NegTestDataBase
+{
+public:
+  NegTestDataCumSumAxisShapeMismatch()
+  {
+    _test_kernel_model_circle = neg_cumsum_axis_shape_mismatch::test_kernel_model_circle;
+  }
+
+  ~NegTestDataCumSumAxisShapeMismatch() override = default;
+
+  const unsigned char *get_model_ptr() override final
+  {
+    return _test_kernel_model_circle;
+  }
+
+protected:
+  const unsigned char *_test_kernel_model_circle;
+};
+
+// ------------------------------------------------------------------------------------------------
+
+class NegTestDataCumSumAxisTypeMismatch : public NegTestDataBase
+{
+public:
+  NegTestDataCumSumAxisTypeMismatch()
+  {
+    _test_kernel_model_circle = neg_cumsum_axis_type_mismatch::test_kernel_model_circle;
+  }
+
+  ~NegTestDataCumSumAxisTypeMismatch() override = default;
+
+  const unsigned char *get_model_ptr() override final
+  {
+    return _test_kernel_model_circle;
+  }
+
+protected:
+  const unsigned char *_test_kernel_model_circle;
+};
+
+// ------------------------------------------------------------------------------------------------
+
+class NegTestDataCumSumInputShapeMismatch : public NegTestDataBase
+{
+public:
+  NegTestDataCumSumInputShapeMismatch()
+  {
+    _test_kernel_model_circle = neg_cumsum_input_shape_mismatch::test_kernel_model_circle;
+  }
+
+  ~NegTestDataCumSumInputShapeMismatch() override = default;
+
+  const unsigned char *get_model_ptr() override final
+  {
+    return _test_kernel_model_circle;
+  }
+
+protected:
+  const unsigned char *_test_kernel_model_circle;
+};
+
+} // namespace onert_micro::test_model
+
+#endif // ONERT_MICRO_TEST_MODELS_NEG_CUMSUM_KERNEL_H
diff --git a/onert-micro/onert-micro/include/test_models/cum_sum/TestDataCumSumBase.h b/onert-micro/onert-micro/include/test_models/cum_sum/TestDataCumSumBase.h
new file mode 100644
index 00000000000..f0611bf214b
--- /dev/null
+++ b/onert-micro/onert-micro/include/test_models/cum_sum/TestDataCumSumBase.h
@@ -0,0 +1,93 @@
+/*
+ * Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ONERT_MICRO_TEST_MODELS_CUMSUM_KERNEL_BASE_H
+#define ONERT_MICRO_TEST_MODELS_CUMSUM_KERNEL_BASE_H
+
+#include "test_models/TestDataBase.h"
+
+namespace onert_micro::test_model
+{
+
+template <typename T> class TestDataCumSumBase : public TestDataBase<T>
+{
+public:
+  TestDataCumSumBase() = default;
+  ~TestDataCumSumBase() override = default;
+
+  // clang-format off
+
+  const unsigned char *get_model_ptr() override final
+  {
+    return _test_kernel_model_circle;
+  }
+
+  // clang-format on
+
+  const std::vector<T> &get_input_data_by_index(int i) override final
+  {
+    switch (i)
+    {
+      case 0:
+        return _input_data;
+      default:
+        assert(false && "Wrong input index");
+    }
+  }
+
+  const uint8_t *get_input_data_ptr_by_index(int i, int32_t &size) override final
+  {
+    switch (i)
+    {
+      case 0:
+        return get_vector_data(_input_data, size);
+      case 1:
+        return get_vector_data(_axis_data, size);
+      default:
+        assert(false && "Wrong input index");
+    }
+  }
+
+  const std::vector<T> &get_output_data_by_index(int i) override final
+  {
+    assert(i == 0);
+    return _reference_output_data;
+  }
+
+protected:
+  template <typename DataType>
+  const uint8_t *get_vector_data(const std::vector<DataType> &vector, int32_t &size)
+  {
+    size = vector.size();
+
+    if (size == 0)
+      return nullptr;
+
+    size *= sizeof(DataType);
+
+    return reinterpret_cast<const uint8_t *>(vector.data());
+  }
+
+protected:
+  std::vector<int32_t> _axis_data = {};
+  std::vector<T> _input_data;
+  std::vector<T> _reference_output_data;
+  const unsigned char *_test_kernel_model_circle;
+};
+
+} // namespace onert_micro::test_model
+
+#endif // ONERT_MICRO_TEST_MODELS_CUMSUM_KERNEL_BASE_H
diff --git a/onert-micro/onert-micro/src/execute/kernels/CumSum.cpp b/onert-micro/onert-micro/src/execute/kernels/CumSum.cpp
new file mode 100644
index 00000000000..827473982e4
--- /dev/null
+++ b/onert-micro/onert-micro/src/execute/kernels/CumSum.cpp
@@ -0,0 +1,124 @@
+/*
+ * Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "core/OMUtils.h"
+#include "core/OMKernelData.h"
+
+#include "execute/OMUtils.h"
+
+#include "PALCumSum.h"
+
+using onert_micro::OMStatus;
+
+using namespace onert_micro::core;
+using namespace onert_micro::execute;
+
+// ------------------------------------------------------------------------------------------------
+
+namespace impl
+{
+
+constexpr static uint32_t axisTensorIdx = 1;
+constexpr static uint32_t inputTensorIdx = 0;
+constexpr static uint32_t outputTensorIdx = 0;
+
+template <typename T> OMStatus CircleCumSum(OMRuntimeKernel &rt_kernel)
+{
+  const circle::Tensor *axis = rt_kernel.inputs[axisTensorIdx];
+  const circle::Tensor *input = rt_kernel.inputs[inputTensorIdx];
+  const circle::Tensor *output = rt_kernel.outputs[outputTensorIdx];
+
+  assert(axis != nullptr);
+  assert(input != nullptr);
+  assert(output != nullptr);
+
+  const int32_t *axis_data = utils::castInputData<int32_t>(rt_kernel.inputs_data[axisTensorIdx]);
+  const T *input_data = utils::castInputData<T>(rt_kernel.inputs_data[inputTensorIdx]);
+  T *output_data = utils::castOutputData<T>(rt_kernel.outputs_data[outputTensorIdx]);
+
+  assert(input_data != nullptr);
+  assert(output_data != nullptr);
+
+  OMRuntimeShape input_shape(input);
+
+  const int32_t rank = input_shape.dimensionsCount();
+  const int32_t axis_value = (axis_data != nullptr) ? *axis_data : 0;
+
+  assert(rank >= 1);
+  assert(axis_value >= 0);
+  assert(axis_value < rank);
+
+  auto options = rt_kernel.first_operator->builtin_options_as_CumsumOptions();
+
+  assert(options != nullptr);
+
+  CumSumParams params{};
+  params.exclusive = options->exclusive();
+  params.reverse = options->reverse();
+
+  return pal::CumSum<T>(params, input_shape, input_data, axis_value, output_data);
+}
+
+} // namespace impl
+
+// ------------------------------------------------------------------------------------------------
+
+namespace onert_micro::execute
+{
+
+OMStatus execute_kernel_CircleCumSum(const OMExecuteArgs &execute_args)
+{
+  core::OMRuntimeContext &rt_context = execute_args.runtime_context;
+  core::OMRuntimeStorage &rt_storage = execute_args.runtime_storage;
+
+  uint16_t op_index = execute_args.kernel_index;
+
+  OMRuntimeKernel rt_kernel;
+  OMStatus status = rt_kernel.readKernel(op_index, rt_context);
+
+  if (status != Ok)
+    return status;
+
+  const circle::Tensor *input = rt_kernel.inputs[impl::inputTensorIdx];
+  assert(input != nullptr);
+
+  status = rt_kernel.getDataFromStorage(op_index, rt_storage, rt_context);
+
+  if (status != Ok)
+    return status;
+
+  switch (input->type())
+  {
+    case circle::TensorType_INT32:
+      return impl::CircleCumSum<int32_t>(rt_kernel);
+
+    case circle::TensorType_INT64:
+      return impl::CircleCumSum<int64_t>(rt_kernel);
+
+#ifndef DIS_FLOAT
+
+    case circle::TensorType_FLOAT32:
+      return impl::CircleCumSum<float>(rt_kernel);
+
+#endif // DIS__FLOAT
+
+    default:
+      assert(false && "Unsupported type.");
+      return UnsupportedType;
+  }
+}
+
+} // namespace onert_micro::execute
diff --git a/onert-micro/onert-micro/src/execute/kernels/tests/CumSum.test.cpp b/onert-micro/onert-micro/src/execute/kernels/tests/CumSum.test.cpp
new file mode 100644
index 00000000000..15da4ed24a1
--- /dev/null
+++ b/onert-micro/onert-micro/src/execute/kernels/tests/CumSum.test.cpp
@@ -0,0 +1,149 @@
+/*
+ * Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "execute/OMTestUtils.h"
+
+#include "test_models/cum_sum/FloatCumSumKernel.h"
+#include "test_models/cum_sum/IntCumSumKernel.h"
+#include "test_models/cum_sum/NegCumSumKernel.h"
+
+namespace onert_micro::execute::testing
+{
+
+// ------------------------------------------------------------------------------------------------
+
+class CumSumTest : public ::testing::Test
+{
+};
+
+// ------------------------------------------------------------------------------------------------
+
+template <typename T>
+std::vector<T> checkCumSumKernel(test_model::TestDataCumSumBase<T> *test_data_base)
+{
+  onert_micro::OMInterpreter interpreter;
+  onert_micro::OMConfig config;
+
+  auto model_ptr = reinterpret_cast<const char *>(test_data_base->get_model_ptr());
+
+  interpreter.importModel(model_ptr, config);
+  interpreter.reset();
+  interpreter.allocateInputs();
+
+  T *input_data = reinterpret_cast<T *>(interpreter.getInputDataAt(0));
+  const auto &input_data_ref = test_data_base->get_input_data_by_index(0);
+
+  std::copy(input_data_ref.begin(), input_data_ref.end(), input_data);
+
+  auto num_inputs = interpreter.getNumberOfInputs();
+
+  if (num_inputs >= 2)
+  {
+    uint8_t *axis_data = reinterpret_cast<uint8_t *>(interpreter.getInputDataAt(1));
+
+    int32_t size;
+    const uint8_t *axis_data_ref = test_data_base->get_input_data_ptr_by_index(1, size);
+
+    if (size > 0)
+    {
+      std::copy(axis_data_ref, axis_data_ref + size, axis_data);
+    }
+  }
+
+  interpreter.run(config);
+
+  T *output_data = reinterpret_cast<T *>(interpreter.getOutputDataAt(0));
+  const size_t num_elements = interpreter.getOutputSizeAt(0);
+
+  std::vector<T> output_data_vector(output_data, output_data + num_elements);
+
+  return output_data_vector;
+}
+
+// ------------------------------------------------------------------------------------------------
+
+TEST_F(CumSumTest, Float)
+{
+  test_model::TestDataFloatCumSum test_data;
+  auto output_data_vector = checkCumSumKernel<float>(&test_data);
+
+  EXPECT_TRUE(output_data_vector == test_data.get_output_data_by_index(0));
+}
+
+TEST_F(CumSumTest, Int32)
+{
+  test_model::TestDataInt32CumSum test_data;
+  auto output_data_vector = checkCumSumKernel<int32_t>(&test_data);
+
+  EXPECT_TRUE(output_data_vector == test_data.get_output_data_by_index(0));
+}
+
+TEST_F(CumSumTest, Int64)
+{
+  test_model::TestDataInt64CumSum test_data;
+  auto output_data_vector = checkCumSumKernel<int64_t>(&test_data);
+
+  EXPECT_TRUE(output_data_vector == test_data.get_output_data_by_index(0));
+}
+
+TEST_F(CumSumTest, Float_TwoInputs)
+{
+  test_model::TestDataTwoInputsFloatCumSum test_data;
+  auto output_data_vector = checkCumSumKernel<float>(&test_data);
+
+  EXPECT_TRUE(output_data_vector == test_data.get_output_data_by_index(0));
+}
+
+TEST_F(CumSumTest, Float_Reverse)
+{
+  test_model::TestDataReverseFloatCumSum test_data;
+  auto output_data_vector = checkCumSumKernel<float>(&test_data);
+
+  EXPECT_TRUE(output_data_vector == test_data.get_output_data_by_index(0));
+}
+
+TEST_F(CumSumTest, Float_Exclusive)
+{
+  test_model::TestDataExclusiveFloatCumSum test_data;
+  auto output_data_vector = checkCumSumKernel<float>(&test_data);
+
+  EXPECT_TRUE(output_data_vector == test_data.get_output_data_by_index(0));
+}
+
+TEST_F(CumSumTest, AxisShapeMismatch_NEG)
+{
+  test_model::NegTestDataCumSumAxisShapeMismatch neg_test_data;
+
+  EXPECT_DEATH(checkNEGSISOKernel(&neg_test_data), "");
+}
+
+TEST_F(CumSumTest, AxisTypeMismatch_NEG)
+{
+  test_model::NegTestDataCumSumAxisTypeMismatch neg_test_data;
+
+  EXPECT_DEATH(checkNEGSISOKernel(&neg_test_data), "");
+}
+
+TEST_F(CumSumTest, InputShapeMismatch_NEG)
+{
+  test_model::NegTestDataCumSumInputShapeMismatch neg_test_data;
+
+  EXPECT_DEATH(checkNEGSISOKernel(&neg_test_data), "");
+}
+
+// ------------------------------------------------------------------------------------------------
+
+} // namespace onert_micro::execute::testing
diff --git a/onert-micro/onert-micro/src/import/kernels/CumSum.cpp b/onert-micro/onert-micro/src/import/kernels/CumSum.cpp
new file mode 100644
index 00000000000..e8f8cead0a4
--- /dev/null
+++ b/onert-micro/onert-micro/src/import/kernels/CumSum.cpp
@@ -0,0 +1,73 @@
+/*
+ * Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "core/OMUtils.h"
+#include "import/OMUtils.h"
+
+using namespace onert_micro;
+using namespace onert_micro::core::utils;
+
+namespace onert_micro::import
+{
+
+OMStatus configure_kernel_CircleCumSum(const OMConfigureArgs &config_args)
+{
+  constexpr static uint32_t axisTensorIdx = 1;
+  constexpr static uint32_t inputTensorIdx = 0;
+  constexpr static uint32_t outputTensorIdx = 0;
+
+  execute::OMRuntimeKernel rt_kernel;
+  core::OMRuntimeContext &rt_context = config_args.runtime_context;
+
+  OMStatus status = rt_kernel.readKernel(config_args.kernel_index, rt_context);
+
+  if (status != Ok)
+    return status;
+
+  const circle::Tensor *axis = rt_kernel.inputs[axisTensorIdx];
+  const circle::Tensor *input = rt_kernel.inputs[inputTensorIdx];
+  const circle::Tensor *output = rt_kernel.outputs[outputTensorIdx];
+
+  assert(axis != nullptr);
+  assert(input != nullptr);
+  assert(output != nullptr);
+
+  core::OMRuntimeShape axis_shape(axis);
+  core::OMRuntimeShape input_shape(input);
+
+  // clang-format off
+
+  std::array<bool, 4> conditions = {
+    input->type() == output->type(),
+    input_shape.dimensionsCount() > 1,
+    axis->type() == circle::TensorType_INT32,
+    axis_shape.isScalar()
+  };
+
+  bool status_check = std::all_of(conditions.cbegin(), conditions.cend(), [](bool condition)
+  {
+    return checkCondition(condition) == Ok;
+  });
+
+  // clang-format on
+
+  if (!status_check)
+    return FailedCheckCondition;
+
+  return Ok;
+}
+
+} // namespace onert_micro::import