diff --git a/src/armnnTfLiteParser/test/Prelu.cpp b/src/armnnTfLiteParser/test/Prelu.cpp
new file mode 100644
index 0000000..b4aa8d7
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Prelu.cpp
@@ -0,0 +1,159 @@
+//
+// Copyright © 2021 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct PreluFixture : public ParserFlatbuffersFixture
+{
+    explicit PreluFixture(const std::string& inputShape,
+                          const std::string& alphaShape,
+                          const std::string& outputShape,
+                          const std::string& inputIndex,
+                          const std::string& alphaData)
+    {
+        m_JsonString = R"(
+            {
+              "version": 3,
+              "operator_codes": [
+                {
+                  "builtin_code": "PRELU",
+                  "version": 1
+                }
+              ],
+              "subgraphs": [
+                {
+                  "tensors": [
+                    {
+                      "shape": )" + inputShape + R"(,
+                      "type": "FLOAT32",
+                      "buffer": 1,
+                      "name": "input0",
+                      "quantization": {
+                        "details_type": "NONE",
+                        "quantized_dimension": 0
+                      },
+                      "is_variable": false
+                    },
+                    {
+                      "shape": )" + alphaShape + R"(,
+                      "type": "FLOAT32",
+                      "buffer": 2,
+                      "name": "input1",
+                      "quantization": {
+                        "details_type": "NONE",
+                        "quantized_dimension": 0
+                      },
+                      "is_variable": false
+                    },
+                    {
+                      "shape": )" + outputShape + R"(,
+                      "type": "FLOAT32",
+                      "buffer": 3,
+                      "name": "output",
+                      "quantization": {
+                        "details_type": "NONE",
+                        "quantized_dimension": 0
+                      },
+                      "is_variable": false
+                    }
+                  ],
+                  "inputs": )" + inputIndex + R"(,
+                  "outputs": [
+                    2
+                  ],
+                  "operators": [
+                    {
+                      "opcode_index": 0,
+                      "inputs": [
+                        0,
+                        1
+                      ],
+                      "outputs": [
+                        2
+                      ],
+                      "builtin_options_type": "NONE",
+                      "custom_options_format": "FLEXBUFFERS"
+                    }
+                  ],
+                  "name": "main"
+                }
+              ],
+              "description": "MLIR Converted.",
+              "buffers": [
+                {
+                },
+                {
+                },
+                { )" + alphaData + R"(
+                },
+                {
+                }
+              ]
+            }
+        )";
+        Setup();
+    }
+};
+
+struct SimplePreluFixture : PreluFixture
+{
+    SimplePreluFixture() : PreluFixture("[ 2, 3 ]",
+                                        "[ 1, 1 ]",
+                                        "[ 2, 3 ]",
+                                        "[ 0, 1 ]",
+                                        "") {}
+};
+
+struct PreluConstAlphaFixture : PreluFixture
+{
+    PreluConstAlphaFixture() : PreluFixture(
+        "[ 2, 3 ]",
+        "[ 2, 3 ]",
+        "[ 2, 3 ]",
+        "[ 0 ]",
+        "\"data\": [ 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62 ]"){}
+};
+
+struct PreluDynamicTensorFixture : PreluFixture
+{
+    PreluDynamicTensorFixture() : PreluFixture("[ 2, 3 ]",
+                                               "[ 1, 1 ]",
+                                               "[]",
+                                               "[ 0 ]",
+                                               "\"data\": [ 0, 0, 128, 62 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(SimplePrelu, SimplePreluFixture)
+{
+  RunTest<2, armnn::DataType::Float32>(
+      0,
+      {{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }},{"input1", { 0.25f }}},
+      {{"output", { -3.5f, 2.f, 0.f, 1.f, -1.25f, 14.f }}});
+}
+
+BOOST_FIXTURE_TEST_CASE(PreluConstAlpha, PreluConstAlphaFixture)
+{
+  RunTest<2, armnn::DataType::Float32>(
+      0,
+      {{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }}},
+      {{"output", { -3.5f, 2.f, 0.f, 1.f, -1.25f, 14.f }}});
+}
+
+BOOST_FIXTURE_TEST_CASE(PreluDynamicTensor, PreluDynamicTensorFixture)
+{
+  RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32>(
+      0,
+      {{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }}},
+      {{"output", { -3.5f, 2.f, 0.f, 1.f, -1.25f, 14.f }}},
+      true);
+}
+
+BOOST_AUTO_TEST_SUITE_END()