diff --git a/verif/tests/test_tosa_result_checker.py b/verif/tests/test_tosa_result_checker.py
new file mode 100644
index 0000000..bc8a2fc
--- /dev/null
+++ b/verif/tests/test_tosa_result_checker.py
@@ -0,0 +1,197 @@
+"""Tests for tosa_result_checker.py."""
+# Copyright (c) 2021-2022, ARM Limited.
+# SPDX-License-Identifier: Apache-2.0
+from pathlib import Path
+
+import numpy as np
+import pytest
+
+import checker.tosa_result_checker as trc
+
+
+def _create_data_file(name, npy_data):
+    """Create numpy data file."""
+    file = Path(__file__).parent / name
+    with open(file, "wb") as f:
+        np.save(f, npy_data)
+    return file
+
+
+def _create_empty_file(name):
+    """Create numpy data file."""
+    file = Path(__file__).parent / name
+    f = open(file, "wb")
+    f.close()
+    return file
+
+
+def _delete_data_file(file: Path):
+    """Delete numpy data file."""
+    file.unlink()
+
+
+@pytest.mark.parametrize(
+    "data_type,expected",
+    [
+        (np.int8, trc.TestResult.MISMATCH),
+        (np.int16, trc.TestResult.MISMATCH),
+        (np.int32, trc.TestResult.PASS),
+        (np.int64, trc.TestResult.PASS),
+        (np.uint8, trc.TestResult.MISMATCH),
+        (np.uint16, trc.TestResult.MISMATCH),
+        (np.uint32, trc.TestResult.MISMATCH),
+        (np.uint64, trc.TestResult.MISMATCH),
+        (np.float16, trc.TestResult.MISMATCH),
+        (np.float32, trc.TestResult.PASS),
+        (np.float64, trc.TestResult.MISMATCH),
+        (bool, trc.TestResult.PASS),
+    ],
+)
+def test_supported_types(data_type, expected):
+    """Check which data types are supported."""
+    # Generate data
+    npy_data = np.ndarray(shape=(2, 3), dtype=data_type)
+
+    # Save data as reference and result files to compare.
+    reference_file = _create_data_file("reference.npy", npy_data)
+    result_file = _create_data_file("result.npy", npy_data)
+
+    args = [str(reference_file), str(result_file)]
+    """Compares reference and result npy files, returns zero if it passes."""
+    assert trc.main(args) == expected
+
+    # Remove files created
+    _delete_data_file(reference_file)
+    _delete_data_file(result_file)
+
+
+@pytest.mark.parametrize(
+    "data_type,expected",
+    [
+        (np.int32, trc.TestResult.MISMATCH),
+        (np.int64, trc.TestResult.MISMATCH),
+        (np.float32, trc.TestResult.MISMATCH),
+        (bool, trc.TestResult.MISMATCH),
+    ],
+)
+def test_shape_mismatch(data_type, expected):
+    """Check that mismatch shapes do not pass."""
+    # Generate and save data as reference and result files to compare.
+    npy_data = np.ones(shape=(3, 2), dtype=data_type)
+    reference_file = _create_data_file("reference.npy", npy_data)
+    npy_data = np.ones(shape=(2, 3), dtype=data_type)
+    result_file = _create_data_file("result.npy", npy_data)
+
+    args = [str(reference_file), str(result_file)]
+    """Compares reference and result npy files, returns zero if it passes."""
+    assert trc.main(args) == expected
+
+    # Remove files created
+    _delete_data_file(reference_file)
+    _delete_data_file(result_file)
+
+
+@pytest.mark.parametrize(
+    "data_type,expected",
+    [
+        (np.int32, trc.TestResult.MISMATCH),
+        (np.int64, trc.TestResult.MISMATCH),
+        (np.float32, trc.TestResult.MISMATCH),
+        (bool, trc.TestResult.MISMATCH),
+    ],
+)
+def test_results_mismatch(data_type, expected):
+    """Check that different results do not pass."""
+    # Generate and save data as reference and result files to compare.
+    npy_data = np.zeros(shape=(2, 3), dtype=data_type)
+    reference_file = _create_data_file("reference.npy", npy_data)
+    npy_data = np.ones(shape=(2, 3), dtype=data_type)
+    result_file = _create_data_file("result.npy", npy_data)
+
+    args = [str(reference_file), str(result_file)]
+    """Compares reference and result npy files, returns zero if it passes."""
+    assert trc.main(args) == expected
+
+    # Remove files created
+    _delete_data_file(reference_file)
+    _delete_data_file(result_file)
+
+
+@pytest.mark.parametrize(
+    "data_type1,data_type2,expected",
+    [  # Pairwise testing of all supported types
+        (np.int32, np.int64, trc.TestResult.MISMATCH),
+        (bool, np.float32, trc.TestResult.MISMATCH),
+    ],
+)
+def test_types_mismatch(data_type1, data_type2, expected):
+    """Check that different types in results do not pass."""
+    # Generate and save data as reference and result files to compare.
+    npy_data = np.ones(shape=(3, 2), dtype=data_type1)
+    reference_file = _create_data_file("reference.npy", npy_data)
+    npy_data = np.ones(shape=(3, 2), dtype=data_type2)
+    result_file = _create_data_file("result.npy", npy_data)
+
+    args = [str(reference_file), str(result_file)]
+    """Compares reference and result npy files, returns zero if it passes."""
+    assert trc.main(args) == expected
+
+    # Remove files created
+    _delete_data_file(reference_file)
+    _delete_data_file(result_file)
+
+
+@pytest.mark.parametrize(
+    "reference_exists,result_exists,expected",
+    [
+        (True, False, trc.TestResult.MISSING_FILE),
+        (False, True, trc.TestResult.MISSING_FILE),
+    ],
+)
+def test_missing_files(reference_exists, result_exists, expected):
+    """Check that missing files are caught."""
+    # Generate and save data
+    npy_data = np.ndarray(shape=(2, 3), dtype=bool)
+    reference_file = _create_data_file("reference.npy", npy_data)
+    result_file = _create_data_file("result.npy", npy_data)
+    if not reference_exists:
+        _delete_data_file(reference_file)
+    if not result_exists:
+        _delete_data_file(result_file)
+
+    args = [str(reference_file), str(result_file)]
+    assert trc.main(args) == expected
+
+    if reference_exists:
+        _delete_data_file(reference_file)
+    if result_exists:
+        _delete_data_file(result_file)
+
+
+@pytest.mark.parametrize(
+    "reference_numpy,result_numpy,expected",
+    [
+        (True, False, trc.TestResult.INCORRECT_FORMAT),
+        (False, True, trc.TestResult.INCORRECT_FORMAT),
+    ],
+)
+def test_incorrect_format_files(reference_numpy, result_numpy, expected):
+    """Check that incorrect format files are caught."""
+    # Generate and save data
+    npy_data = np.ndarray(shape=(2, 3), dtype=bool)
+    reference_file = (
+        _create_data_file("reference.npy", npy_data)
+        if reference_numpy
+        else _create_empty_file("empty.npy")
+    )
+    result_file = (
+        _create_data_file("result.npy", npy_data)
+        if result_numpy
+        else _create_empty_file("empty.npy")
+    )
+
+    args = [str(reference_file), str(result_file)]
+    assert trc.main(args) == expected
+
+    _delete_data_file(reference_file)
+    _delete_data_file(result_file)