diff --git a/delegate/src/test/ArgMinMaxTest.cpp b/delegate/src/test/ArgMinMaxTest.cpp
new file mode 100644
index 0000000..bf60a77
--- /dev/null
+++ b/delegate/src/test/ArgMinMaxTest.cpp
@@ -0,0 +1,174 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ArgMinMaxTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+void ArgMaxFP32Test(std::vector<armnn::BackendId>& backends, int axisValue)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 2, 4 };
+    std::vector<int32_t> outputShape { 1, 3, 4 };
+    std::vector<int32_t> axisShape { 1 };
+
+    std::vector<float> inputValues = { 1.0f,   2.0f,   3.0f,   4.0f,
+                                       5.0f,   6.0f,   7.0f,   8.0f,
+
+                                       10.0f,  20.0f,  30.0f,  40.0f,
+                                       50.0f,  60.0f,  70.0f,  80.0f,
+
+                                       100.0f, 200.0f, 300.0f, 400.0f,
+                                       500.0f, 600.0f, 700.0f, 800.0f };
+
+    std::vector<int32_t> expectedOutputValues = { 1, 1, 1, 1,
+                                                  1, 1, 1, 1,
+                                                  1, 1, 1, 1 };
+
+    ArgMinMaxTest<float, int32_t>(tflite::BuiltinOperator_ARG_MAX,
+                                  ::tflite::TensorType_FLOAT32,
+                                  backends,
+                                  inputShape,
+                                  axisShape,
+                                  outputShape,
+                                  inputValues,
+                                  expectedOutputValues,
+                                  axisValue,
+                                  ::tflite::TensorType_INT32);
+}
+
+void ArgMinFP32Test(std::vector<armnn::BackendId>& backends, int axisValue)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 2, 4 };
+    std::vector<int32_t> outputShape { 1, 3, 2 };
+    std::vector<int32_t> axisShape { 1 };
+
+    std::vector<float> inputValues = { 1.0f,   2.0f,   3.0f,   4.0f,
+                                       5.0f,   6.0f,   7.0f,   8.0f,
+
+                                       10.0f,  20.0f,  30.0f,  40.0f,
+                                       50.0f,  60.0f,  70.0f,  80.0f,
+
+                                       100.0f, 200.0f, 300.0f, 400.0f,
+                                       500.0f, 600.0f, 700.0f, 800.0f };
+
+    std::vector<int32_t> expectedOutputValues = { 0, 0,
+                                                  0, 0,
+                                                  0, 0 };
+
+    ArgMinMaxTest<float, int32_t>(tflite::BuiltinOperator_ARG_MIN,
+                                  ::tflite::TensorType_FLOAT32,
+                                  backends,
+                                  inputShape,
+                                  axisShape,
+                                  outputShape,
+                                  inputValues,
+                                  expectedOutputValues,
+                                  axisValue,
+                                  ::tflite::TensorType_INT32);
+}
+
+void ArgMaxUint8Test(std::vector<armnn::BackendId>& backends, int axisValue)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 1, 1, 5 };
+    std::vector<int32_t> outputShape { 1, 1, 1 };
+    std::vector<int32_t> axisShape { 1 };
+
+    std::vector<uint8_t> inputValues = { 5, 2, 8, 10, 9 };
+
+    std::vector<int32_t> expectedOutputValues = { 3 };
+
+    ArgMinMaxTest<uint8_t, int32_t>(tflite::BuiltinOperator_ARG_MAX,
+                                    ::tflite::TensorType_UINT8,
+                                    backends,
+                                    inputShape,
+                                    axisShape,
+                                    outputShape,
+                                    inputValues,
+                                    expectedOutputValues,
+                                    axisValue,
+                                    ::tflite::TensorType_INT32);
+}
+
+TEST_SUITE("ArgMinMax_CpuRefTests")
+{
+
+TEST_CASE ("ArgMaxFP32Test_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ArgMaxFP32Test(backends, 2);
+}
+
+TEST_CASE ("ArgMinFP32Test_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ArgMinFP32Test(backends, 3);
+}
+
+TEST_CASE ("ArgMaxUint8Test_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ArgMaxUint8Test(backends, -1);
+}
+
+} // TEST_SUITE("ArgMinMax_CpuRefTests")
+
+TEST_SUITE("ArgMinMax_CpuAccTests")
+{
+
+TEST_CASE ("ArgMaxFP32Test_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ArgMaxFP32Test(backends, 2);
+}
+
+TEST_CASE ("ArgMinFP32Test_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ArgMinFP32Test(backends, 3);
+}
+
+TEST_CASE ("ArgMaxUint8Test_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ArgMaxUint8Test(backends, -1);
+}
+
+} // TEST_SUITE("ArgMinMax_CpuAccTests")
+
+TEST_SUITE("ArgMinMax_GpuAccTests")
+{
+
+TEST_CASE ("ArgMaxFP32Test_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ArgMaxFP32Test(backends, 2);
+}
+
+TEST_CASE ("ArgMinFP32Test_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ArgMinFP32Test(backends, 3);
+}
+
+TEST_CASE ("ArgMaxUint8Test_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ArgMaxUint8Test(backends, -1);
+}
+
+} // TEST_SUITE("ArgMinMax_GpuAccTests")
+
+} // namespace armnnDelegate
\ No newline at end of file