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diff --git a/tests/mlia/test_nn_tensorflow_utils.py b/tests/mlia/test_nn_tensorflow_utils.py
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+++ b/tests/mlia/test_nn_tensorflow_utils.py
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+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Test for module utils/test_utils."""
+from pathlib import Path
+
+import pytest
+import tensorflow as tf
+
+from mlia.nn.tensorflow.utils import convert_to_tflite
+from mlia.nn.tensorflow.utils import get_tf_tensor_shape
+from mlia.nn.tensorflow.utils import is_keras_model
+from mlia.nn.tensorflow.utils import is_tflite_model
+from mlia.nn.tensorflow.utils import save_keras_model
+from mlia.nn.tensorflow.utils import save_tflite_model
+
+
+def test_convert_to_tflite(test_keras_model: Path) -> None:
+    """Test converting Keras model to TFLite."""
+    keras_model = tf.keras.models.load_model(str(test_keras_model))
+    tflite_model = convert_to_tflite(keras_model)
+
+    assert tflite_model
+
+
+def test_save_keras_model(tmp_path: Path, test_keras_model: Path) -> None:
+    """Test saving Keras model."""
+    keras_model = tf.keras.models.load_model(str(test_keras_model))
+
+    temp_file = tmp_path / "test_model_saving.h5"
+    save_keras_model(keras_model, temp_file)
+    loaded_model = tf.keras.models.load_model(temp_file)
+
+    assert loaded_model.summary() == keras_model.summary()
+
+
+def test_save_tflite_model(tmp_path: Path, test_keras_model: Path) -> None:
+    """Test saving TFLite model."""
+    keras_model = tf.keras.models.load_model(str(test_keras_model))
+
+    tflite_model = convert_to_tflite(keras_model)
+
+    temp_file = tmp_path / "test_model_saving.tflite"
+    save_tflite_model(tflite_model, temp_file)
+
+    interpreter = tf.lite.Interpreter(model_path=str(temp_file))
+    assert interpreter
+
+
+@pytest.mark.parametrize(
+    "model_path, expected_result",
+    [
+        [Path("sample_model.tflite"), True],
+        [Path("strange_model.tflite.tfl"), False],
+        [Path("sample_model.h5"), False],
+        [Path("sample_model"), False],
+    ],
+)
+def test_is_tflite_model(model_path: Path, expected_result: bool) -> None:
+    """Test function is_tflite_model."""
+    result = is_tflite_model(model_path)
+    assert result == expected_result
+
+
+@pytest.mark.parametrize(
+    "model_path, expected_result",
+    [
+        [Path("sample_model.h5"), True],
+        [Path("strange_model.h5.keras"), False],
+        [Path("sample_model.tflite"), False],
+        [Path("sample_model"), False],
+    ],
+)
+def test_is_keras_model(model_path: Path, expected_result: bool) -> None:
+    """Test function is_keras_model."""
+    result = is_keras_model(model_path)
+    assert result == expected_result
+
+
+def test_get_tf_tensor_shape(test_tf_model: Path) -> None:
+    """Test get_tf_tensor_shape with test model."""
+    assert get_tf_tensor_shape(str(test_tf_model)) == [1, 28, 28, 1]