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diff --git a/onert-micro/luci-interpreter/src/kernels/AveragePool2D.test.cpp b/onert-micro/luci-interpreter/src/kernels/AveragePool2D.test.cpp
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+++ b/onert-micro/luci-interpreter/src/kernels/AveragePool2D.test.cpp
@@ -0,0 +1,88 @@
+/*
+ * Copyright (c) 2020 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 "kernels/TestUtils.h"
+#include "luci_interpreter/test_models/average_pool_2d/FloatAveragePool2DKernel.h"
+#include "luci_interpreter/test_models/average_pool_2d/NegAveragePool2DKernel.h"
+
+#include "loader/ModuleLoader.h"
+
+namespace luci_interpreter
+{
+namespace
+{
+
+using namespace testing;
+
+class AveragePool2DTest : public ::testing::Test
+{
+  // Do nothing
+};
+
+template <typename T>
+std::vector<T> checkAveragePool2DKernel(test_kernel::TestDataBase<T> *test_data_base)
+{
+  MemoryManager memory_manager{};
+  RuntimeModule runtime_module{};
+  bool dealloc_input = true;
+
+  // Load model with single op
+  auto *model_data_raw = reinterpret_cast<const char *>(test_data_base->get_model_ptr());
+  ModuleLoader::load(&runtime_module, &memory_manager, model_data_raw, dealloc_input);
+
+  auto *main_runtime_graph = runtime_module.getMainGraph();
+  assert(main_runtime_graph->getNumOfInputTensors() == 1);
+
+  // Set input data
+  {
+    auto *input_tensor_data = reinterpret_cast<T *>(main_runtime_graph->configureGraphInput(0));
+    std::copy(test_data_base->get_input_data_by_index(0).begin(),
+              test_data_base->get_input_data_by_index(0).end(), input_tensor_data);
+  }
+
+  runtime_module.execute();
+
+  assert(main_runtime_graph->getNumOfOutputTensors() == 1);
+
+  T *output_data = reinterpret_cast<T *>(main_runtime_graph->getOutputDataByIndex(0));
+  const size_t num_elements = (main_runtime_graph->getOutputDataSizeByIndex(0) / sizeof(T));
+  std::vector<T> output_data_vector(output_data, output_data + num_elements);
+  return output_data_vector;
+}
+
+TEST_F(AveragePool2DTest, Float_P)
+{
+  test_kernel::TestDataFloatAveragePool2D test_data_kernel;
+  std::vector<float> output_data_vector = checkAveragePool2DKernel(&test_data_kernel);
+  EXPECT_THAT(output_data_vector, kernels::testing::FloatArrayNear(
+                                    test_data_kernel.get_output_data_by_index(0), 0.001f));
+}
+
+TEST_F(AveragePool2DTest, InputOutputTypeMismatch_NEG)
+{
+  test_kernel::NegTestDataInputOutputTypeMismatchAveragePool2DKernel test_data_kernel;
+
+  MemoryManager memory_manager{};
+  RuntimeModule runtime_module{};
+  bool dealloc_input = true;
+  // Load model with single op
+  auto *model_data_raw = reinterpret_cast<const char *>(test_data_kernel.get_model_ptr());
+  EXPECT_DEATH(ModuleLoader::load(&runtime_module, &memory_manager, model_data_raw, dealloc_input),
+               "");
+}
+
+} // namespace
+} // namespace luci_interpreter