diff --git a/onert-micro/onert-micro/include/OMConfig.h b/onert-micro/onert-micro/include/OMConfig.h
index 0ffbf024b1f..fca5f381d0b 100644
--- a/onert-micro/onert-micro/include/OMConfig.h
+++ b/onert-micro/onert-micro/include/OMConfig.h
@@ -41,6 +41,8 @@ enum OMMetrics
   MAE_METRICS,
   CROSS_ENTROPY_METRICS,
   ACCURACY,
+  SPARSE_CROSS_ENTROPY_METRICS,
+  SPARSE_CROSS_ENTROPY_ACCURACY,
 };
 
 /*
@@ -50,6 +52,7 @@ enum OMLoss
 {
   BINARY_CROSS_ENTROPY,
   CROSS_ENTROPY,
+  SPARSE_CROSS_ENTROPY,
   MSE,
   MAE,
 };
diff --git a/onert-micro/onert-micro/include/train/losses_functions/SparseCrossEntropy.h b/onert-micro/onert-micro/include/train/losses_functions/SparseCrossEntropy.h
new file mode 100644
index 00000000000..586a5b211d3
--- /dev/null
+++ b/onert-micro/onert-micro/include/train/losses_functions/SparseCrossEntropy.h
@@ -0,0 +1,44 @@
+
+/*
+ * Copyright (c) 2024 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_TRAIN_LOSSES_FUNCTIONS_SPARSE_CROSS_ENTROPY_H
+#define ONERT_MICRO_TRAIN_LOSSES_FUNCTIONS_SPARSE_CROSS_ENTROPY_H
+
+#include "OMStatus.h"
+
+#include <cstdint>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace losses_functions
+{
+
+// Cross Entropy
+struct SparseCrossEntropy
+{
+  // Calculate sparse cross entropy error backpropagation between calculated and target data
+  static void calculateErrorBackpropagation(const uint32_t flat_size, const float *calculated_data,
+                                            const float *target_data, float *output_grad);
+};
+
+} // namespace losses_functions
+} // namespace train
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TRAIN_LOSSES_FUNCTIONS_SPARSE_CROSS_ENTROPY_H
diff --git a/onert-micro/onert-micro/include/train/metrics/SparseCrossEntropy.h b/onert-micro/onert-micro/include/train/metrics/SparseCrossEntropy.h
new file mode 100644
index 00000000000..7d5370b832b
--- /dev/null
+++ b/onert-micro/onert-micro/include/train/metrics/SparseCrossEntropy.h
@@ -0,0 +1,43 @@
+
+/*
+ * Copyright (c) 2024 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_TRAIN_METRICS_SPARSE_CROSS_ENTROPY_H
+#define ONERT_MICRO_TRAIN_METRICS_SPARSE_CROSS_ENTROPY_H
+
+#include "OMStatus.h"
+
+#include <cstdint>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace metrics
+{
+
+struct SparseCrossEntropy
+{
+  // Calculate sparse cross entropy metric between calculated and target data
+  static float calculateValue(const uint32_t flat_size, const float *calculated_data,
+                              const float *target_data);
+};
+
+} // namespace metrics
+} // namespace train
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TRAIN_METRICS_SPARSE_CROSS_ENTROPY_H
diff --git a/onert-micro/onert-micro/include/train/metrics/SparseCrossEntropyAccuracy.h b/onert-micro/onert-micro/include/train/metrics/SparseCrossEntropyAccuracy.h
new file mode 100644
index 00000000000..64c73ae20ea
--- /dev/null
+++ b/onert-micro/onert-micro/include/train/metrics/SparseCrossEntropyAccuracy.h
@@ -0,0 +1,43 @@
+/*
+ * Copyright (c) 2024 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_TRAIN_METRICS_SPARSE_CROSS_ENTROPY_ACCURACY_H
+#define ONERT_MICRO_TRAIN_METRICS_SPARSE_CROSS_ENTROPY_ACCURACY_H
+
+#include "OMStatus.h"
+
+#include <cstdint>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace metrics
+{
+
+// Accuracy metric
+struct SparseCrossEntropyAccuracy
+{
+  // Calculate accuracy metric between calculated and target data
+  static float calculateValue(const uint32_t flat_size, const float *calculated_data,
+                              const float *target_data);
+};
+
+} // namespace metrics
+} // namespace train
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TRAIN_METRICS_SPARSE_CROSS_ENTROPY_ACCURACY_H
diff --git a/onert-micro/onert-micro/include/train/tests/OMTestUtils.h b/onert-micro/onert-micro/include/train/tests/OMTestUtils.h
index f92f600835c..443ebca0117 100644
--- a/onert-micro/onert-micro/include/train/tests/OMTestUtils.h
+++ b/onert-micro/onert-micro/include/train/tests/OMTestUtils.h
@@ -40,7 +40,13 @@ OMStatus train(OMTrainingInterpreter &train_interpreter, OMConfig &config,
   const uint32_t num_train_data_samples = test_base.getTrainNumSamples();
   const uint32_t batch_size = config.training_context.batch_size;
   const uint32_t input_size = train_interpreter.getInputSizeAt(0);
-  const uint32_t target_size = train_interpreter.getOutputSizeAt(0);
+  uint32_t target_size = train_interpreter.getOutputSizeAt(0);
+
+  // TODO: Need to revisit this to make getOuputSize can get proper output number 
+  // when 'all' target number and output numbers are different
+  if (config.training_context.loss == SPARSE_CROSS_ENTROPY)
+    target_size = 1;
+
   for (uint32_t e = 0; e < training_epochs; ++e)
   {
     config.training_context.num_epoch = e + 1;
@@ -92,7 +98,13 @@ OMStatus evaluate(OMTrainingInterpreter &train_interpreter, OMConfig &config,
   const uint32_t num_test_data_samples = test_base.getTestNumSamples();
   const uint32_t batch_size = 1;
   const uint32_t input_size = train_interpreter.getInputSizeAt(0);
-  const uint32_t target_size = train_interpreter.getOutputSizeAt(0);
+  uint32_t target_size = train_interpreter.getOutputSizeAt(0);
+
+  // TODO: Need to revisit this to make getOuputSize can get proper output number 
+  // when 'all' target number and output numbers are different
+  if (config.training_context.loss == SPARSE_CROSS_ENTROPY)
+    target_size = 1;
+
   for (int i = 0; i < num_test_data_samples; ++i)
   {
     // Read current input and target data
diff --git a/onert-micro/onert-micro/include/train/tests/models/simple_mnist_model.h b/onert-micro/onert-micro/include/train/tests/models/simple_mnist_model.h
new file mode 100644
index 00000000000..3b9d8cd3e7f
--- /dev/null
+++ b/onert-micro/onert-micro/include/train/tests/models/simple_mnist_model.h
@@ -0,0 +1,291 @@
+
+/*
+ * Copyright (c) 2024 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_TRAIN_TESTS_MODELS_SIMPLE_MNIST_MODEL_H
+#define ONERT_MICRO_TRAIN_TESTS_MODELS_SIMPLE_MNIST_MODEL_H
+
+#include <vector>
+#include <cstring>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace test
+{
+namespace models
+{
+unsigned char simple_mnist_model[] = {
+  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,
+  0xe8, 0x07, 0x00, 0x00, 0xfc, 0x0e, 0x00, 0x00, 0x58, 0x0f, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00,
+  0xd4, 0x07, 0x00, 0x00, 0xcc, 0x07, 0x00, 0x00, 0x9c, 0x07, 0x00, 0x00, 0x4c, 0x01, 0x00, 0x00,
+  0x34, 0x01, 0x00, 0x00, 0xe4, 0x00, 0x00, 0x00, 0xc4, 0x00, 0x00, 0x00, 0xbc, 0x00, 0x00, 0x00,
+  0xb4, 0x00, 0x00, 0x00, 0xac, 0x00, 0x00, 0x00, 0xa4, 0x00, 0x00, 0x00, 0x9c, 0x00, 0x00, 0x00,
+  0x94, 0x00, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf2, 0xf7, 0xff, 0xff,
+  0x04, 0x00, 0x00, 0x00, 0x60, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x0e, 0x00, 0x08, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x24, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00,
+  0x0c, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x81, 0x13, 0x95, 0xf4, 0x5e, 0x4c, 0x2b, 0x66,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x32, 0x2e, 0x31, 0x37, 0x2e, 0x30, 0x00, 0x00, 0x5e, 0xf8, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x31, 0x2e, 0x35, 0x2e, 0x30, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x14, 0xf2, 0xff, 0xff, 0x18, 0xf2, 0xff, 0xff, 0x1c, 0xf2, 0xff, 0xff,
+  0x20, 0xf2, 0xff, 0xff, 0x24, 0xf2, 0xff, 0xff, 0x28, 0xf2, 0xff, 0xff, 0x92, 0xf8, 0xff, 0xff,
+  0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xae, 0xf8, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
+  0x40, 0x00, 0x00, 0x00, 0x98, 0xe6, 0x63, 0xbd, 0x9c, 0xb0, 0xf7, 0xbe, 0x26, 0xc6, 0xbc, 0x3e,
+  0x7e, 0x93, 0xe0, 0x3e, 0x35, 0x5a, 0xe2, 0xbe, 0x88, 0x98, 0xfd, 0x3d, 0x00, 0x2e, 0xf2, 0xba,
+  0xf0, 0x79, 0x35, 0xbd, 0xe8, 0x04, 0xee, 0xbd, 0x97, 0xb7, 0xaa, 0xbe, 0x77, 0x60, 0xb9, 0xbe,
+  0xb9, 0x3f, 0xbd, 0xbe, 0x4a, 0xf7, 0x92, 0x3e, 0x5a, 0x52, 0xa9, 0xbe, 0x8a, 0x59, 0x9b, 0xbe,
+  0x27, 0xc5, 0xa7, 0xbe, 0xfa, 0xf8, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00,
+  0xff, 0xff, 0xff, 0xff, 0x64, 0x00, 0x00, 0x00, 0x0e, 0xf9, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
+  0x40, 0x06, 0x00, 0x00, 0x80, 0x3a, 0x28, 0x3e, 0x30, 0x8b, 0xd8, 0x3c, 0xb7, 0xb4, 0x06, 0xbe,
+  0x0e, 0xcf, 0x2a, 0xbe, 0x9e, 0x1a, 0x1e, 0x3e, 0xb8, 0x4c, 0xe3, 0xbc, 0x00, 0x4f, 0xb3, 0x3c,
+  0x7a, 0xe6, 0x0a, 0x3e, 0xd4, 0xd0, 0xed, 0x3d, 0xe6, 0x39, 0x2f, 0xbe, 0x74, 0xf0, 0x4a, 0xbe,
+  0xe6, 0x9a, 0x57, 0x3e, 0x46, 0xb3, 0x10, 0xbe, 0x16, 0xf6, 0x4a, 0xbe, 0x04, 0xdf, 0x0c, 0x3e,
+  0x64, 0xd7, 0x2a, 0x3e, 0x12, 0x00, 0x25, 0x3e, 0xf4, 0x20, 0x08, 0xbe, 0x2c, 0x2e, 0x4b, 0x3e,
+  0xec, 0xd3, 0x71, 0xbd, 0x72, 0xe9, 0x37, 0x3e, 0xe6, 0xe0, 0x86, 0xbd, 0x78, 0x07, 0xa7, 0xbd,
+  0x20, 0x13, 0x81, 0xbc, 0x14, 0x34, 0xe3, 0x3d, 0x78, 0x8d, 0x8f, 0xbd, 0xcc, 0x80, 0xa5, 0xbd,
+  0xb6, 0xe9, 0xe4, 0xbd, 0x28, 0xf6, 0xc1, 0x3d, 0x76, 0x36, 0x0a, 0x3e, 0xa8, 0x4b, 0x63, 0x3d,
+  0xa0, 0xff, 0xc2, 0xbb, 0xd0, 0x1a, 0x6f, 0xbe, 0xc2, 0xfd, 0x1c, 0xbe, 0x98, 0x0e, 0xaa, 0xbc,
+  0x50, 0xd5, 0x47, 0xbe, 0x30, 0xae, 0x00, 0xbe, 0x68, 0x96, 0x17, 0x3e, 0xba, 0x2e, 0x27, 0x3e,
+  0xf8, 0x9a, 0x14, 0xbd, 0xc0, 0xa0, 0x62, 0xbc, 0xa0, 0xd5, 0xe7, 0x3b, 0x26, 0xcf, 0x05, 0x3e,
+  0xa6, 0x7e, 0x45, 0x3e, 0x57, 0x7b, 0xfe, 0xbd, 0x54, 0x5c, 0x5b, 0xbe, 0xbf, 0x32, 0x5a, 0xbe,
+  0x2e, 0x62, 0x6f, 0x3e, 0xbc, 0x04, 0x5f, 0x3e, 0x94, 0x88, 0x28, 0x3e, 0x00, 0x70, 0xc2, 0x39,
+  0x62, 0x84, 0x3e, 0x3e, 0xf8, 0xf6, 0x43, 0x3d, 0x90, 0x5a, 0x5e, 0x3d, 0x7f, 0xf7, 0x3a, 0xbe,
+  0xda, 0xfe, 0x39, 0xbe, 0xde, 0xcc, 0x02, 0xbe, 0x98, 0xff, 0x99, 0xbd, 0x90, 0x1f, 0x32, 0xbe,
+  0xac, 0xb3, 0x26, 0xbd, 0xba, 0xbe, 0x0f, 0x3e, 0x5b, 0x28, 0x70, 0xbe, 0x98, 0x18, 0x64, 0x3e,
+  0x55, 0xe1, 0xf0, 0xbd, 0x48, 0x21, 0x16, 0x3e, 0x01, 0x21, 0x50, 0xbe, 0x08, 0xac, 0x9d, 0x3d,
+  0xf4, 0x50, 0x2f, 0x3e, 0x90, 0xbd, 0x7c, 0xbc, 0x14, 0x10, 0x92, 0x3d, 0x4c, 0xb8, 0x15, 0x3e,
+  0xae, 0xde, 0x61, 0xbe, 0xa2, 0x67, 0x4b, 0xbe, 0x9e, 0x16, 0x52, 0x3e, 0x1c, 0x5a, 0x40, 0xbe,
+  0x33, 0x77, 0x74, 0xbe, 0x08, 0x27, 0x66, 0x3d, 0xd8, 0x0f, 0x4b, 0x3e, 0xd8, 0x54, 0x9d, 0x3d,
+  0x18, 0x38, 0xac, 0x3d, 0x06, 0xfa, 0x02, 0xbe, 0xb6, 0xe5, 0xa1, 0xbd, 0x84, 0x18, 0xef, 0x3d,
+  0xd3, 0xba, 0x0a, 0xbe, 0xc4, 0xc9, 0xac, 0x3d, 0x1e, 0x4e, 0x3e, 0xbe, 0x06, 0x5b, 0x3b, 0x3e,
+  0x02, 0x2f, 0x66, 0xbe, 0x57, 0x5b, 0x50, 0xbe, 0x00, 0x36, 0xa4, 0x3d, 0x7c, 0x04, 0xe6, 0x3d,
+  0x11, 0xf2, 0x10, 0xbe, 0x16, 0xba, 0x36, 0x3e, 0xe0, 0xd5, 0x0b, 0xbe, 0xea, 0x09, 0xb8, 0xbd,
+  0x54, 0xc7, 0x14, 0x3e, 0xcc, 0x93, 0x67, 0x3e, 0x12, 0x0a, 0xb2, 0xbd, 0x40, 0x03, 0xbf, 0x3b,
+  0x34, 0x2f, 0xe2, 0x3d, 0x40, 0x0b, 0x61, 0xbd, 0x32, 0x07, 0x73, 0x3e, 0x80, 0x83, 0xb9, 0xbd,
+  0x68, 0x12, 0xda, 0x3d, 0x51, 0xfa, 0x5b, 0xbe, 0xe3, 0xf5, 0x57, 0xbe, 0x24, 0x6a, 0x50, 0x3e,
+  0x4e, 0xbd, 0x5d, 0xbe, 0x10, 0x3f, 0x7a, 0x3d, 0xa8, 0xa4, 0x6d, 0x3e, 0x20, 0xe0, 0x12, 0x3d,
+  0xf4, 0xf2, 0xbd, 0x3d, 0x58, 0xe6, 0x83, 0xbc, 0xa0, 0x0e, 0x7c, 0x3d, 0xf4, 0xc7, 0x95, 0x3d,
+  0x60, 0xe2, 0x4d, 0xbe, 0x70, 0x4c, 0x89, 0x3c, 0x16, 0x4a, 0x0a, 0x3e, 0xa4, 0x27, 0x48, 0xbe,
+  0x15, 0xf1, 0xeb, 0xbd, 0x02, 0xaf, 0x22, 0xbe, 0x40, 0x81, 0x01, 0xbd, 0x46, 0xc2, 0x4c, 0x3e,
+  0x78, 0x26, 0x58, 0xbd, 0x28, 0x0a, 0x46, 0x3d, 0xa5, 0xa7, 0x4d, 0xbe, 0x10, 0x99, 0x23, 0x3e,
+  0x76, 0x0d, 0x16, 0xbe, 0x5c, 0xc2, 0x82, 0xbd, 0x00, 0xbd, 0x45, 0x3d, 0x1e, 0xf0, 0xa2, 0xbd,
+  0x24, 0xeb, 0x35, 0xbe, 0x36, 0x55, 0x71, 0xbe, 0xc0, 0x3b, 0x9f, 0xbc, 0xbe, 0x4d, 0x1a, 0xbe,
+  0x60, 0x10, 0x41, 0x3e, 0xa9, 0xe8, 0x68, 0xbe, 0x08, 0x2e, 0x58, 0x3e, 0x54, 0xf6, 0x12, 0xbe,
+  0xba, 0x02, 0xa5, 0xbd, 0x08, 0xb6, 0x10, 0x3e, 0xbd, 0xa3, 0x75, 0xbe, 0x92, 0x95, 0x62, 0xbe,
+  0x3f, 0xef, 0x00, 0xbe, 0xd0, 0x61, 0x02, 0x3c, 0x70, 0xde, 0x5a, 0x3e, 0x60, 0x0b, 0x30, 0xbe,
+  0x50, 0x2c, 0xc7, 0x3d, 0xf2, 0xea, 0x3d, 0xbe, 0x1f, 0xaf, 0x50, 0xbe, 0xb4, 0xe4, 0x3d, 0x3e,
+  0xc0, 0x08, 0x14, 0x3e, 0xbc, 0xbb, 0xd9, 0xbd, 0xcd, 0x00, 0x53, 0xbe, 0xb6, 0x8f, 0x08, 0x3e,
+  0x60, 0xec, 0x12, 0x3d, 0x26, 0x5d, 0x1e, 0x3e, 0xb4, 0xde, 0xa8, 0x3d, 0xe8, 0xb5, 0x4d, 0xbe,
+  0x82, 0x47, 0x74, 0x3e, 0x29, 0xdd, 0xf6, 0xbd, 0xb0, 0xf3, 0x82, 0x3d, 0x9e, 0xfe, 0x0f, 0x3e,
+  0x9c, 0x6f, 0x32, 0x3e, 0xeb, 0x5d, 0x6a, 0xbe, 0xf8, 0x3b, 0x4b, 0x3e, 0x54, 0x1b, 0x5e, 0xbd,
+  0xd8, 0x3a, 0x03, 0xbd, 0xba, 0xdd, 0x87, 0xbd, 0xfe, 0x26, 0xd3, 0xbd, 0x78, 0x20, 0x44, 0xbd,
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+  0x2f, 0x52, 0x65, 0x6c, 0x75, 0x3b, 0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69, 0x61, 0x6c,
+  0x5f, 0x31, 0x2f, 0x64, 0x65, 0x6e, 0x73, 0x65, 0x5f, 0x31, 0x2f, 0x41, 0x64, 0x64, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xfc, 0xfc, 0xff, 0xff,
+  0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x09, 0x00, 0x00, 0x00,
+  0x38, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xff, 0xff, 0xff, 0xff, 0x64, 0x00, 0x00, 0x00,
+  0xe0, 0xfc, 0xff, 0xff, 0x1e, 0x00, 0x00, 0x00, 0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69,
+  0x61, 0x6c, 0x5f, 0x31, 0x2f, 0x66, 0x6c, 0x61, 0x74, 0x74, 0x65, 0x6e, 0x5f, 0x31, 0x2f, 0x52,
+  0x65, 0x73, 0x68, 0x61, 0x70, 0x65, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x64, 0x00, 0x00, 0x00, 0x54, 0xfd, 0xff, 0xff, 0x14, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
+  0x24, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0xff, 0xff, 0xff, 0xff, 0x05, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x40, 0xfd, 0xff, 0xff, 0x26, 0x00, 0x00, 0x00, 0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69,
+  0x61, 0x6c, 0x5f, 0x31, 0x2f, 0x6d, 0x61, 0x78, 0x5f, 0x70, 0x6f, 0x6f, 0x6c, 0x69, 0x6e, 0x67,
+  0x32, 0x64, 0x5f, 0x31, 0x2f, 0x4d, 0x61, 0x78, 0x50, 0x6f, 0x6f, 0x6c, 0x32, 0x64, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0xc4, 0xfd, 0xff, 0xff, 0x14, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
+  0x24, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x7c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0xff, 0xff, 0xff, 0xff, 0x0a, 0x00, 0x00, 0x00, 0x0a, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0xb0, 0xfd, 0xff, 0xff, 0x58, 0x00, 0x00, 0x00, 0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69,
+  0x61, 0x6c, 0x5f, 0x31, 0x2f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x31, 0x2f, 0x52, 0x65,
+  0x6c, 0x75, 0x3b, 0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69, 0x61, 0x6c, 0x5f, 0x31, 0x2f,
+  0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x31, 0x2f, 0x61, 0x64, 0x64, 0x3b, 0x73, 0x65, 0x71,
+  0x75, 0x65, 0x6e, 0x74, 0x69, 0x61, 0x6c, 0x5f, 0x31, 0x2f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64,
+  0x5f, 0x31, 0x2f, 0x63, 0x6f, 0x6e, 0x76, 0x6f, 0x6c, 0x75, 0x74, 0x69, 0x6f, 0x6e, 0x3b, 0x31,
+  0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0a, 0x00, 0x00, 0x00,
+  0x0a, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xae, 0xfe, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x3c, 0xfe, 0xff, 0xff,
+  0x57, 0x00, 0x00, 0x00, 0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69, 0x61, 0x6c, 0x5f, 0x31,
+  0x2f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x31, 0x2f, 0x52, 0x65, 0x6c, 0x75, 0x3b, 0x73,
+  0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69, 0x61, 0x6c, 0x5f, 0x31, 0x2f, 0x63, 0x6f, 0x6e, 0x76,
+  0x32, 0x64, 0x5f, 0x31, 0x2f, 0x61, 0x64, 0x64, 0x3b, 0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74,
+  0x69, 0x61, 0x6c, 0x5f, 0x31, 0x2f, 0x63, 0x6f, 0x6e, 0x76, 0x32, 0x64, 0x5f, 0x31, 0x2f, 0x63,
+  0x6f, 0x6e, 0x76, 0x6f, 0x6c, 0x75, 0x74, 0x69, 0x6f, 0x6e, 0x3b, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x2a, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x00, 0x00, 0x30, 0x00, 0x00, 0x00, 0xb8, 0xfe, 0xff, 0xff, 0x21, 0x00, 0x00, 0x00,
+  0x73, 0x65, 0x71, 0x75, 0x65, 0x6e, 0x74, 0x69, 0x61, 0x6c, 0x5f, 0x31, 0x2f, 0x63, 0x6f, 0x6e,
+  0x76, 0x32, 0x64, 0x5f, 0x31, 0x2f, 0x63, 0x6f, 0x6e, 0x76, 0x6f, 0x6c, 0x75, 0x74, 0x69, 0x6f,
+  0x6e, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00,
+  0x13, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x1c, 0x00, 0x00, 0x00,
+  0x20, 0xff, 0xff, 0xff, 0x0f, 0x00, 0x00, 0x00, 0x61, 0x72, 0x69, 0x74, 0x68, 0x2e, 0x63, 0x6f,
+  0x6e, 0x73, 0x74, 0x61, 0x6e, 0x74, 0x32, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0xc6, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x1c, 0x00, 0x00, 0x00, 0x54, 0xff, 0xff, 0xff, 0x0f, 0x00, 0x00, 0x00, 0x61, 0x72, 0x69, 0x74,
+  0x68, 0x2e, 0x63, 0x6f, 0x6e, 0x73, 0x74, 0x61, 0x6e, 0x74, 0x31, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x10, 0x00,
+  0x00, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x9c, 0xff, 0xff, 0xff,
+  0x0e, 0x00, 0x00, 0x00, 0x61, 0x72, 0x69, 0x74, 0x68, 0x2e, 0x63, 0x6f, 0x6e, 0x73, 0x74, 0x61,
+  0x6e, 0x74, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x18, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x04, 0x00, 0x14, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00,
+  0x28, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x44, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0xff, 0xff, 0xff, 0xff, 0x0b, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00, 0x73, 0x65, 0x72, 0x76,
+  0x69, 0x6e, 0x67, 0x5f, 0x64, 0x65, 0x66, 0x61, 0x75, 0x6c, 0x74, 0x5f, 0x6b, 0x65, 0x72, 0x61,
+  0x73, 0x5f, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x3a, 0x30, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x34, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xd0, 0xff, 0xff, 0xff, 0x19, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x19, 0xdc, 0xff, 0xff, 0xff, 0x09, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09,
+  0xe8, 0xff, 0xff, 0xff, 0x16, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x16, 0xf4, 0xff, 0xff, 0xff,
+  0x11, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03,
+  0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63,
+  0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00
+};
+unsigned int simple_mnist_model_size = 3992;
+
+} // namespace models
+} // namespace test
+} // namespace train
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TRAIN_TESTS_MODELS_SIMPLE_MNIST_MODEL_H
diff --git a/onert-micro/onert-micro/include/train/tests/simple_mnist_task/SimpleMnistClassificationTask.h b/onert-micro/onert-micro/include/train/tests/simple_mnist_task/SimpleMnistClassificationTask.h
new file mode 100644
index 00000000000..dd8d8f7872f
--- /dev/null
+++ b/onert-micro/onert-micro/include/train/tests/simple_mnist_task/SimpleMnistClassificationTask.h
@@ -0,0 +1,119 @@
+/*
+ * Copyright (c) 2024 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_TRAIN_TESTS_SIMPLE_MNIST_TASK_H
+#define ONERT_MICRO_TRAIN_TESTS_SIMPLE_MNIST_TASK_H
+
+#include "train/tests/OMTestTrainBase.h"
+#include "train/tests/models/simple_mnist_model.h"
+#include "train/tests/simple_mnist_task/data/train_input.h"
+#include "train/tests/simple_mnist_task/data/train_target.h"
+
+#include <vector>
+#include <cstring>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace test
+{
+
+namespace
+{
+
+// Note: use only one dataset - train will be also for test
+const size_t NUM_SAMPLES = 20;
+
+} // namespace
+
+template <typename T, typename U = T> class SimpleMnistTask : public OMTestTrainBase<T, U>
+{
+public:
+  SimpleMnistTask()
+  {
+    // Set model
+    _train_model_ptr.resize(models::simple_mnist_model_size);
+    std::memcpy(_train_model_ptr.data(), models::simple_mnist_model,
+                models::simple_mnist_model_size);
+  }
+
+  // Get ptr to trained model
+  char *getModelPtr() final { return _train_model_ptr.data(); }
+
+  // Return model size
+  size_t getModelSize() final { return _train_model_ptr.size(); }
+
+  // Return num train samples
+  size_t getTrainNumSamples() final { return NUM_SAMPLES; };
+
+  // Return num test samples
+  size_t getTestNumSamples() final { return NUM_SAMPLES; }
+
+  // Read train input data with cur size and cur offset
+  std::vector<T> readTrainInputData(size_t size, size_t offset) final
+  {
+    std::vector<T> result(size);
+
+    auto *cur_ptr = data::simple_mnist_task_input_data + offset;
+
+    std::memcpy(result.data(), cur_ptr, size);
+    return result;
+  }
+  // Read train target data with cur size and cur offset
+  std::vector<U> readTrainTargetData(size_t size, size_t offset) final
+  {
+    std::vector<T> result(size);
+
+    auto *cur_ptr = data::simple_mnist_task_target_data + offset;
+
+    std::memcpy(result.data(), cur_ptr, size);
+    return result;
+  }
+
+  // Read test input data with cur size and cur offset
+  // Note: use only one dataset - train will be also for test
+  std::vector<T> readTestInputData(size_t size, size_t offset) final
+  {
+    std::vector<T> result(size);
+
+    auto *cur_ptr = data::simple_mnist_task_input_data + offset;
+
+    std::memcpy(result.data(), cur_ptr, size);
+    return result;
+  }
+
+  // Read test target data with cur size and cur offset
+  // Note: use only one dataset - train will be also for test
+  std::vector<T> readTestTargetData(size_t size, size_t offset) final
+  {
+    std::vector<T> result(size);
+
+    auto *cur_ptr = data::simple_mnist_task_target_data + offset;
+
+    std::memcpy(result.data(), cur_ptr, size);
+    return result;
+  }
+
+private:
+  std::vector<char> _train_model_ptr = {};
+};
+
+} // namespace test
+} // namespace train
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TRAIN_TESTS_SIMPLE_MNIST_TASK_H
diff --git a/onert-micro/onert-micro/include/train/tests/simple_mnist_task/data/train_input.h b/onert-micro/onert-micro/include/train/tests/simple_mnist_task/data/train_input.h
new file mode 100644
index 00000000000..64bec19ba26
--- /dev/null
+++ b/onert-micro/onert-micro/include/train/tests/simple_mnist_task/data/train_input.h
@@ -0,0 +1,646 @@
+/*
+ * Copyright (c) 2024 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_TRAIN_TESTS_SIMPLE_MNIST_DATA_TRAIN_INPUT_H
+#define ONERT_MICRO_TRAIN_TESTS_SIMPLE_MNIST_DATA_TRAIN_INPUT_H
+
+#include <vector>
+#include <cstring>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace test
+{
+namespace data
+{
+
+unsigned char simple_mnist_task_input_data[] = {
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x5b, 0xb1, 0x7f, 0x3e, 0x0c, 0x3c, 0x76, 0x3f,
+  0xed, 0xb3, 0x6f, 0x3f, 0x5d, 0x29, 0x5c, 0x3f, 0xde, 0xa7, 0x2c, 0x3f, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x7c, 0x20, 0x23, 0x3f, 0x7b, 0x40, 0x7c, 0x3f, 0x07, 0x09, 0x89, 0x3e, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x52, 0x50, 0xd1, 0x3d, 0x50, 0x24, 0x18, 0x3f, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xf0, 0xf1, 0x03, 0x3f, 0x56, 0x84, 0x3e, 0x3f,
+  0x4a, 0xba, 0x37, 0x3c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x66, 0x02, 0xb4, 0x3c, 0x36, 0x9b, 0x22, 0x3f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0xbb, 0x60, 0x6c, 0x3f, 0x3a, 0xc8, 0xf6, 0x3d, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x41, 0x7f, 0x96, 0x3e,
+  0x02, 0x19, 0x76, 0x3f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
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+  0xa3, 0x8a, 0x99, 0x3e, 0x84, 0x07, 0x5a, 0x3f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0xff, 0x00, 0xee, 0x3d, 0xcf, 0xe8, 0x7c, 0x3f, 0xb4, 0x25, 0x42, 0x3d,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xd9, 0xee, 0x13, 0x3f, 0x75, 0x86, 0x7e, 0x3f,
+  0x26, 0x6a, 0x27, 0x3e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x86, 0x50, 0x03, 0x3e, 0xe3, 0x79, 0x7b, 0x3f, 0x71, 0xb6, 0x4d, 0x3f, 0xbc, 0x3b, 0x57, 0x3f,
+  0x7d, 0x7d, 0x7d, 0x3f, 0x21, 0x63, 0x55, 0x3f, 0x77, 0xe0, 0x0d, 0x3d, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x8b, 0x50, 0x03, 0x3e, 0x03, 0x41, 0xa1, 0x3e, 0x1a, 0xfe, 0xa0, 0x3e, 0x31, 0x13, 0x36, 0x3e,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00
+};
+unsigned int simple_mnist_task_input_data_len = 9680;
+
+} // namespace data
+} // namespace test
+} // namespace train
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TRAIN_TESTS_SIMPLE_MNIST_DATA_TRAIN_INPUT_H
diff --git a/onert-micro/onert-micro/include/train/tests/simple_mnist_task/data/train_target.h b/onert-micro/onert-micro/include/train/tests/simple_mnist_task/data/train_target.h
new file mode 100644
index 00000000000..872da475b01
--- /dev/null
+++ b/onert-micro/onert-micro/include/train/tests/simple_mnist_task/data/train_target.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2024 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_TRAIN_TESTS_SIMPLE_MNIST_TASK_DATA_TRAIN_TARGET_H
+#define ONERT_MICRO_TRAIN_TESTS_SIMPLE_MNIST_TASK_DATA_TRAIN_TARGET_H
+
+#include <vector>
+#include <cstring>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace test
+{
+namespace data
+{
+unsigned char simple_mnist_task_target_data[] = {
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x80, 0x3f,
+  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x00
+};
+unsigned int simple_mnist_task_target_data_size = 80;
+
+} // namespace data
+} // namespace test
+} // namespace train
+} // namespace onert_micro
+
+#endif // ONERT_MICRO_TRAIN_TESTS_SIMPLE_MNIST_TASK_DATA_TRAIN_TARGET_H
diff --git a/onert-micro/onert-micro/src/core/train/OMTrainingHandler.cpp b/onert-micro/onert-micro/src/core/train/OMTrainingHandler.cpp
index 24535625a02..4f884ba0ace 100644
--- a/onert-micro/onert-micro/src/core/train/OMTrainingHandler.cpp
+++ b/onert-micro/onert-micro/src/core/train/OMTrainingHandler.cpp
@@ -19,8 +19,11 @@
 #include "core/train/OMTrainingHandler.h"
 #include "train/losses_functions/MSE.h"
 #include "train/losses_functions/CrossEntropy.h"
+#include "train/losses_functions/SparseCrossEntropy.h"
 #include "train/metrics/MSE.h"
 #include "train/metrics/CrossEntropy.h"
+#include "train/metrics/SparseCrossEntropy.h"
+#include "train/metrics/SparseCrossEntropyAccuracy.h"
 #include "train/metrics/Accuracy.h"
 #include "train/metrics/MAE.h"
 
@@ -56,11 +59,16 @@ OMStatus OMTrainingHandler::handleError(const OMConfig &config, OMRuntimeStorage
     OMStatus status = forward_storage.getDataByTensorIndex(&calculated_data, forward_output_index);
     assert(calculated_data != nullptr);
 
+    OMLoss loss_type = config.training_context.loss;
+
     // Get target data
     auto data_type_size = sizeof(core::OMDataType(forward_output_tensor->type()));
     size_t offset = batch_num * data_type_size * flat_size;
+    if (loss_type == SPARSE_CROSS_ENTROPY)
+    {
+        offset = batch_num * data_type_size;
+    }
     uint8_t *target_data = _training_storage.getTargetData(i) + offset;
-    OMLoss loss_type = config.training_context.loss;
 
     // Allocate data for error gradient for current calculated data and target data
     uint8_t *output_grad_data;
@@ -85,6 +93,13 @@ OMStatus OMTrainingHandler::handleError(const OMConfig &config, OMRuntimeStorage
           reinterpret_cast<float *>(target_data), reinterpret_cast<float *>(output_grad_data));
         break;
       }
+      case SPARSE_CROSS_ENTROPY:
+      {
+        losses_functions::SparseCrossEntropy::calculateErrorBackpropagation(
+          flat_size, reinterpret_cast<float *>(calculated_data),
+          reinterpret_cast<float *>(target_data), reinterpret_cast<float *>(output_grad_data));
+        break;
+      }
       default:
       {
         assert(false && "Unsupported loss type");
@@ -221,8 +236,14 @@ OMStatus OMTrainingHandler::evaluateMetric(OMMetrics metric, void *metric_val,
     OMStatus status = storage.getDataByTensorIndex(&calculated_data, forward_output_index);
     assert(calculated_data != nullptr);
 
-    // Get target data
+    /** NOTE:
+     * This offset will always return 0 if the MODEL OUTPUT is returning 1 value of prediction.
+     * (forward_output->size() == length of output vector.)
+     * one-hot: size == target_numbers
+     * Sparse cross : size == 1
+     */
     size_t offset = batch_num * sizeof(core::OMDataType(forward_output_tensor->type())) * flat_size;
+
     uint8_t *target_data = _training_storage.getTargetData(i) + offset;
 
     // Note: always cast it to float
@@ -261,6 +282,22 @@ OMStatus OMTrainingHandler::evaluateMetric(OMMetrics metric, void *metric_val,
                                             reinterpret_cast<float *>(target_data));
         break;
       }
+      case SPARSE_CROSS_ENTROPY_METRICS:
+      {
+        // Note: sum up new calculated value for current sample
+        *f_metric_val +=
+          metrics::SparseCrossEntropy::calculateValue(flat_size, reinterpret_cast<float *>(calculated_data),
+                                            reinterpret_cast<float *>(target_data));
+        break;
+      }
+      case SPARSE_CROSS_ENTROPY_ACCURACY:
+      {
+        // Note: sum up new calculated value for current sample
+        *f_metric_val +=
+          metrics::SparseCrossEntropyAccuracy::calculateValue(flat_size, reinterpret_cast<float *>(calculated_data),
+                                            reinterpret_cast<float *>(target_data));
+        break;
+      }
       default:
       {
         assert(false && "Unsupported loss type");
diff --git a/onert-micro/onert-micro/src/train/CMakeLists.txt b/onert-micro/onert-micro/src/train/CMakeLists.txt
index 6374a9dfc9e..4b861df0cb3 100644
--- a/onert-micro/onert-micro/src/train/CMakeLists.txt
+++ b/onert-micro/onert-micro/src/train/CMakeLists.txt
@@ -14,10 +14,13 @@ set(SOURCES
         OMBackpropExecutionBuilder.cpp
         losses_functions/MSE.cpp
         losses_functions/CrossEntropy.cpp
+        losses_functions/SparseCrossEntropy.cpp
         metrics/CrossEntropy.cpp
+        metrics/SparseCrossEntropy.cpp
         metrics/MAE.cpp
         metrics/MSE.cpp
         metrics/Accuracy.cpp
+        metrics/SparseCrossEntropyAccuracy.cpp
         train_optimizers/SGD.cpp
         train_optimizers/Adam.cpp
         )
@@ -48,7 +51,8 @@ nnas_find_package(GTest REQUIRED)
 set (TEST_SOURCES
         tests/BostonHousingTask.test.cpp
         tests/CheckpointsHandler.test.cpp
-        tests/NumbersClassificationTask.test.cpp)
+        tests/NumbersClassificationTask.test.cpp
+        tests/SimpleMnistTask.test.cpp)
 
 GTest_AddTest(${OM_TRAIN_LIB}_test ${TEST_SOURCES})
 target_include_directories(${OM_TRAIN_LIB}_test PUBLIC "${OM_INCLUDE_DIR}")
diff --git a/onert-micro/onert-micro/src/train/losses_functions/SparseCrossEntropy.cpp b/onert-micro/onert-micro/src/train/losses_functions/SparseCrossEntropy.cpp
new file mode 100644
index 00000000000..7bbd83776e1
--- /dev/null
+++ b/onert-micro/onert-micro/src/train/losses_functions/SparseCrossEntropy.cpp
@@ -0,0 +1,45 @@
+
+/*
+ * Copyright (c) 2024 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 "train/losses_functions/SparseCrossEntropy.h"
+#include <cmath>
+
+using namespace onert_micro;
+using namespace onert_micro::train;
+using namespace onert_micro::train::losses_functions;
+
+/*
+ * dE/dZi = (dE/dy) * (dy / dZi)
+ * where Z - vector of logits, 
+ *       y - probaility of target.
+ * 
+ * Since dE/dy = -(1/y), 
+ *      (true label)   if  i == y : dE/dZi = py - 1 = y - 1
+ *      (wrong label)  else :       dE/dZi = pj 
+ * 
+ */
+void SparseCrossEntropy::calculateErrorBackpropagation(const uint32_t flat_size,
+                                                 const float *calculated_data,
+                                                 const float *target_data, float *output_grad)
+{
+  uint32_t label = static_cast<uint32_t>(target_data[0]);
+
+  for (uint32_t i = 0; i < flat_size; ++i)
+  {
+    output_grad[i] = (calculated_data[i] + float(10.0e-32)) - (i == label);
+  }
+}
diff --git a/onert-micro/onert-micro/src/train/metrics/SparseCrossEntropy.cpp b/onert-micro/onert-micro/src/train/metrics/SparseCrossEntropy.cpp
new file mode 100644
index 00000000000..a2aadfa16dc
--- /dev/null
+++ b/onert-micro/onert-micro/src/train/metrics/SparseCrossEntropy.cpp
@@ -0,0 +1,41 @@
+
+/*
+ * Copyright (c) 2024 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 "train/metrics/SparseCrossEntropy.h"
+
+#include <cmath>
+#include <algorithm>
+
+using namespace onert_micro;
+using namespace onert_micro::train;
+using namespace onert_micro::train::metrics;
+
+/*
+ * Y - calculated value
+ * Y_i - probability of target class (Correct)
+ * E(Y, Y_i) = -log(Y_i))
+ */
+float SparseCrossEntropy::calculateValue(const uint32_t flat_size, const float *calculated_data,
+                                   const float *target_data)
+{
+  float result_value = 0.f;
+
+  // Sparse Cross Entropy uses target data as a integer label of target class.
+  uint32_t label_index = static_cast<uint32_t>(target_data[0]);
+  result_value = std::log(calculated_data[label_index] + float(10.0e-32));
+  return -result_value;
+}
diff --git a/onert-micro/onert-micro/src/train/metrics/SparseCrossEntropyAccuracy.cpp b/onert-micro/onert-micro/src/train/metrics/SparseCrossEntropyAccuracy.cpp
new file mode 100644
index 00000000000..c8a5b8a23bd
--- /dev/null
+++ b/onert-micro/onert-micro/src/train/metrics/SparseCrossEntropyAccuracy.cpp
@@ -0,0 +1,46 @@
+/*
+ * Copyright (c) 2024 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 "train/metrics/SparseCrossEntropyAccuracy.h"
+
+using namespace onert_micro;
+using namespace onert_micro::train;
+using namespace onert_micro::train::metrics;
+
+/*
+ * return 1.0 if predicted class equals to target
+ * return 0.0 otherwise
+ */
+float SparseCrossEntropyAccuracy::calculateValue(const uint32_t flat_size, const float *calculated_data,
+                               const float *target_data)
+{
+  // Find target class
+  uint32_t target_class = static_cast<uint32_t>(target_data[0]);
+
+  // Find predicted class
+  float pred_class = 0.f;
+  float pred_max_val = calculated_data[0];
+  for (uint32_t i = 0; i < flat_size; ++i)
+  {
+    if (pred_max_val < calculated_data[i])
+    {
+      pred_max_val = calculated_data[i];
+      pred_class = static_cast<float>(i);
+    }
+  }
+
+  return pred_class == target_class ? 1.0f : 0.0f;
+}
diff --git a/onert-micro/onert-micro/src/train/tests/SimpleMnistTask.test.cpp b/onert-micro/onert-micro/src/train/tests/SimpleMnistTask.test.cpp
new file mode 100644
index 00000000000..a366363f777
--- /dev/null
+++ b/onert-micro/onert-micro/src/train/tests/SimpleMnistTask.test.cpp
@@ -0,0 +1,111 @@
+/*
+ * Copyright (c) 2024 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 "train/tests/simple_mnist_task/SimpleMnistClassificationTask.h"
+#include "train/tests/OMTestUtils.h"
+
+#include <gtest/gtest.h>
+
+namespace onert_micro
+{
+namespace train
+{
+namespace test
+{
+
+using namespace testing;
+
+class SimpleMnistClassificationTaskTest : public ::testing::Test
+{
+public:
+  SimpleMnistClassificationTaskTest()
+  {
+    // Set user defined training settings
+    const uint32_t training_epochs = 10;
+    const float lambda = 0.001f;
+    const uint32_t batch_size = 1;
+    // Train all layers
+    const uint32_t num_train_layers = 0;
+    const onert_micro::OMLoss loss = onert_micro::SPARSE_CROSS_ENTROPY;
+    const onert_micro::OMTrainOptimizer train_optim = onert_micro::ADAM;
+    const float beta = 0.9;
+    const float beta_squares = 0.999;
+    const float epsilon = 1e-07;
+
+    config.train_mode = true;
+    {
+      onert_micro::OMTrainingContext train_context;
+      train_context.batch_size = batch_size;
+      train_context.num_of_train_layers = num_train_layers;
+      train_context.learning_rate = lambda;
+      train_context.loss = loss;
+      train_context.optimizer = train_optim;
+      train_context.beta = beta;
+      train_context.beta_squares = beta_squares;
+      train_context.epsilon = epsilon;
+      train_context.epochs = training_epochs;
+
+      config.training_context = train_context;
+    }
+  }
+  OMConfig config = {};
+
+  // Some value for checking that the learning process has not become worse
+  const float golden_accuracy_metric = 0.9f;
+};
+
+TEST_F(SimpleMnistClassificationTaskTest, ADAM_SPARSE_CROSS_ENTROPY_P)
+{
+  // Create BostonHousing data handler
+  SimpleMnistTask<float> simpleMnistTask;
+
+  config.model_ptr = simpleMnistTask.getModelPtr();
+  config.model_size = simpleMnistTask.getModelSize();
+  config.train_mode = true;
+
+  // Create and import train interpreter
+  OMTrainingInterpreter train_interpreter;
+  OMStatus status =
+    train_interpreter.importTrainModel(simpleMnistTask.getModelPtr(), config);
+  EXPECT_EQ(status, Ok);
+
+  // Evaluate result before training
+  float acc_metric_before_training = 0.f;
+  status = evaluate(train_interpreter, config, simpleMnistTask, SPARSE_CROSS_ENTROPY_ACCURACY,
+                    &acc_metric_before_training);
+  EXPECT_EQ(status, Ok);
+
+  // Train model with current config
+  status = train(train_interpreter, config, simpleMnistTask);
+  EXPECT_EQ(status, Ok);
+
+  // Evaluate result after training
+  float acc_metric_after_training = 0.f;
+  status = evaluate(train_interpreter, config, simpleMnistTask, SPARSE_CROSS_ENTROPY_ACCURACY,
+                    &acc_metric_after_training);
+  EXPECT_EQ(status, Ok);
+
+  // ACCURACY metric after training should be better then before (before training accuracy value
+  // smaller then after)
+  EXPECT_GT(acc_metric_after_training, acc_metric_before_training);
+
+  // Compare with gold value (should be greater or equal)
+  EXPECT_GE(acc_metric_after_training, golden_accuracy_metric);
+}
+
+} // namespace test
+} // namespace train
+} // namespace onert_micro