diff --git a/delegate/test/MirrorPadTest.cpp b/delegate/test/MirrorPadTest.cpp
new file mode 100644
index 0000000..14c4755
--- /dev/null
+++ b/delegate/test/MirrorPadTest.cpp
@@ -0,0 +1,341 @@
+//
+// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "PadTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <schema_generated.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+void MirrorPadSymmetric2dTest(std::vector<armnn::BackendId>& backends)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 3, 3 };
+    std::vector<int32_t> outputShape { 7, 7 };
+    std::vector<int32_t> paddingShape { 2, 2 };
+
+    std::vector<float> inputValues =
+    {
+        1.0f, 2.0f, 3.0f,
+        4.0f, 5.0f, 6.0f,
+        7.0f, 8.0f, 9.0f
+    };
+
+    std::vector<float> expectedOutputValues =
+    {
+        5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f,
+        2.0f, 1.0f, 1.0f, 2.0f, 3.0f, 3.0f, 2.0f,
+        2.0f, 1.0f, 1.0f, 2.0f, 3.0f, 3.0f, 2.0f,
+        5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f,
+        8.0f, 7.0f, 7.0f, 8.0f, 9.0f, 9.0f, 8.0f,
+        8.0f, 7.0f, 7.0f, 8.0f, 9.0f, 9.0f, 8.0f,
+        5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f
+    };
+
+    std::vector<int32_t> paddingDim = { 2, 2, 2, 2 };
+
+    PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
+                   ::tflite::TensorType_FLOAT32,
+                   backends,
+                   inputShape,
+                   paddingShape,
+                   outputShape,
+                   inputValues,
+                   paddingDim,
+                   expectedOutputValues,
+                   0,    // Padding value - Not used in these tests.
+                   1.0f, // Scale
+                   0,    // Offset
+                   tflite::MirrorPadMode_SYMMETRIC);
+}
+
+void MirrorPadReflect2dTest(std::vector<armnn::BackendId>& backends)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 3, 3 };
+    std::vector<int32_t> outputShape { 7, 7 };
+    std::vector<int32_t> paddingShape { 2, 2 };
+
+    std::vector<float> inputValues =
+    {
+        1.0f, 2.0f, 3.0f,
+        4.0f, 5.0f, 6.0f,
+        7.0f, 8.0f, 9.0f
+    };
+
+    std::vector<float> expectedOutputValues =
+    {
+        9.0f, 8.0f, 7.0f, 8.0f, 9.0f, 8.0f, 7.0f,
+        6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
+        3.0f, 2.0f, 1.0f, 2.0f, 3.0f, 2.0f, 1.0f,
+        6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
+        9.0f, 8.0f, 7.0f, 8.0f, 9.0f, 8.0f, 7.0f,
+        6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
+        3.0f, 2.0f, 1.0f, 2.0f, 3.0f, 2.0f, 1.0f
+    };
+
+    std::vector<int32_t> paddingDim = { 2, 2, 2, 2 };
+
+    PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
+                   ::tflite::TensorType_FLOAT32,
+                   backends,
+                   inputShape,
+                   paddingShape,
+                   outputShape,
+                   inputValues,
+                   paddingDim,
+                   expectedOutputValues,
+                   0,    // Padding value - Not used in these tests.
+                   1.0f, // Scale
+                   0,    // Offset
+                   tflite::MirrorPadMode_REFLECT);
+}
+
+void MirrorPadSymmetric3dTest(std::vector<armnn::BackendId>& backends)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 2, 2, 2 };
+    std::vector<int32_t> outputShape { 4, 4, 4 };
+    std::vector<int32_t> paddingShape { 3, 2 };
+
+    std::vector<float> inputValues =
+    {
+        // Channel 0, Height (2) x Width (2)
+        1.0f, 2.0f,
+        3.0f, 4.0f,
+
+        // Channel 1, Height (2) x Width (2)
+        5.0f, 6.0f,
+        7.0f, 8.0f
+    };
+
+    std::vector<float> expectedOutputValues =
+    {
+        1.0f, 1.0f, 2.0f, 2.0f,
+        1.0f, 1.0f, 2.0f, 2.0f,
+        3.0f, 3.0f, 4.0f, 4.0f,
+        3.0f, 3.0f, 4.0f, 4.0f,
+
+        1.0f, 1.0f, 2.0f, 2.0f,
+        1.0f, 1.0f, 2.0f, 2.0f,
+        3.0f, 3.0f, 4.0f, 4.0f,
+        3.0f, 3.0f, 4.0f, 4.0f,
+
+        5.0f, 5.0f, 6.0f, 6.0f,
+        5.0f, 5.0f, 6.0f, 6.0f,
+        7.0f, 7.0f, 8.0f, 8.0f,
+        7.0f, 7.0f, 8.0f, 8.0f,
+
+        5.0f, 5.0f, 6.0f, 6.0f,
+        5.0f, 5.0f, 6.0f, 6.0f,
+        7.0f, 7.0f, 8.0f, 8.0f,
+        7.0f, 7.0f, 8.0f, 8.0f
+    };
+
+    std::vector<int32_t> paddingDim = { 1, 1, 1, 1, 1, 1 };
+
+    PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
+                   ::tflite::TensorType_FLOAT32,
+                   backends,
+                   inputShape,
+                   paddingShape,
+                   outputShape,
+                   inputValues,
+                   paddingDim,
+                   expectedOutputValues,
+                   0,    // Padding value - Not used in these tests.
+                   1.0f, // Scale
+                   0,    // Offset
+                   tflite::MirrorPadMode_SYMMETRIC);
+}
+
+void MirrorPadReflect3dTest(std::vector<armnn::BackendId>& backends)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 2, 2, 2 };
+    std::vector<int32_t> outputShape { 4, 4, 4 };
+    std::vector<int32_t> paddingShape { 3, 2 };
+
+    std::vector<float> inputValues =
+    {
+        // Channel 0, Height (2) x Width (2)
+        1.0f, 2.0f,
+        3.0f, 4.0f,
+
+        // Channel 1, Height (2) x Width (2)
+        5.0f, 6.0f,
+        7.0f, 8.0f
+    };
+
+    std::vector<float> expectedOutputValues =
+    {
+        8.0f, 7.0f, 8.0f, 7.0f,
+        6.0f, 5.0f, 6.0f, 5.0f,
+        8.0f, 7.0f, 8.0f, 7.0f,
+        6.0f, 5.0f, 6.0f, 5.0f,
+
+        4.0f, 3.0f, 4.0f, 3.0f,
+        2.0f, 1.0f, 2.0f, 1.0f,
+        4.0f, 3.0f, 4.0f, 3.0f,
+        2.0f, 1.0f, 2.0f, 1.0f,
+
+        8.0f, 7.0f, 8.0f, 7.0f,
+        6.0f, 5.0f, 6.0f, 5.0f,
+        8.0f, 7.0f, 8.0f, 7.0f,
+        6.0f, 5.0f, 6.0f, 5.0f,
+
+        4.0f, 3.0f, 4.0f, 3.0f,
+        2.0f, 1.0f, 2.0f, 1.0f,
+        4.0f, 3.0f, 4.0f, 3.0f,
+        2.0f, 1.0f, 2.0f, 1.0f
+    };
+
+    std::vector<int32_t> paddingDim = { 1, 1, 1, 1, 1, 1 };
+
+    PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
+                   ::tflite::TensorType_FLOAT32,
+                   backends,
+                   inputShape,
+                   paddingShape,
+                   outputShape,
+                   inputValues,
+                   paddingDim,
+                   expectedOutputValues,
+                   0,    // Padding value - Not used in these tests.
+                   1.0f, // Scale
+                   0,    // Offset
+                   tflite::MirrorPadMode_REFLECT);
+}
+
+void MirrorPadSymmetricUint8Test(std::vector<armnn::BackendId>& backends)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 3, 3 };
+    std::vector<int32_t> outputShape { 5, 7 };
+    std::vector<int32_t> paddingShape { 2, 2 };
+
+    std::vector<uint8_t> inputValues =
+    {
+        1, 2, 3,
+        4, 5, 6,
+        7, 8, 9
+    };
+
+    std::vector<uint8_t> expectedOutputValues =
+    {
+        2, 1, 1, 2, 3, 3, 2,
+        2, 1, 1, 2, 3, 3, 2,
+        5, 4, 4, 5, 6, 6, 5,
+        8, 7, 7, 8, 9, 9, 8,
+        8, 7, 7, 8, 9, 9, 8,
+    };
+
+    std::vector<int32_t> paddingDim = { 1, 1, 2, 2 };
+
+    PadTest<uint8_t>(tflite::BuiltinOperator_MIRROR_PAD,
+                     ::tflite::TensorType_UINT8,
+                     backends,
+                     inputShape,
+                     paddingShape,
+                     outputShape,
+                     inputValues,
+                     paddingDim,
+                     expectedOutputValues,
+                     0,    // Padding value - Not used in these tests.
+                     1.0f, // Scale
+                     1,    // Offset
+                     tflite::MirrorPadMode_SYMMETRIC);
+}
+
+void MirrorPadReflectInt8Test(std::vector<armnn::BackendId>& backends)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 3, 3 };
+    std::vector<int32_t> outputShape { 7, 5 };
+    std::vector<int32_t> paddingShape { 2, 2 };
+
+    std::vector<int8_t> inputValues =
+    {
+        1, 2, 3,
+        4, 5, 6,
+        7, 8, 9
+    };
+
+    std::vector<int8_t> expectedOutputValues =
+    {
+        8, 7, 8, 9, 8,
+        5, 4, 5, 6, 5,
+        2, 1, 2, 3, 2,
+        5, 4, 5, 6, 5,
+        8, 7, 8, 9, 8,
+        5, 4, 5, 6, 5,
+        2, 1, 2, 3, 2
+    };
+
+    std::vector<int32_t> paddingDim = { 2, 2, 1, 1 };
+
+    PadTest<int8_t>(tflite::BuiltinOperator_MIRROR_PAD,
+                    ::tflite::TensorType_INT8,
+                    backends,
+                    inputShape,
+                    paddingShape,
+                    outputShape,
+                    inputValues,
+                    paddingDim,
+                    expectedOutputValues,
+                    0,    // Padding value - Not used in these tests.
+                    1.0f, // Scale
+                    1,    // Offset
+                    tflite::MirrorPadMode_REFLECT);
+}
+
+TEST_SUITE("MirrorPad_CpuRefTests")
+{
+
+TEST_CASE ("MirrorPadSymmetric2d_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    MirrorPadSymmetric2dTest(backends);
+}
+
+TEST_CASE ("MirrorPadReflect2d_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    MirrorPadReflect2dTest(backends);
+}
+
+TEST_CASE ("MirrorPadSymmetric3d_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    MirrorPadSymmetric3dTest(backends);
+}
+
+TEST_CASE ("MirrorPadReflect3d_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    MirrorPadReflect3dTest(backends);
+}
+
+TEST_CASE ("MirrorPadSymmetricUint8_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    MirrorPadSymmetricUint8Test(backends);
+}
+
+TEST_CASE ("MirrorPadSymmetricInt8_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    MirrorPadReflectInt8Test(backends);
+}
+
+} // TEST_SUITE("MirrorPad_CpuRefTests")
+
+} // namespace armnnDelegate
\ No newline at end of file