diff --git a/projects/hipdnn/test_sdk/include/hipdnn_test_sdk/utilities/FrontendGraphFactory.hpp b/projects/hipdnn/test_sdk/include/hipdnn_test_sdk/utilities/FrontendGraphFactory.hpp
index 57d97cc6df1..94f0dac8854 100644
--- a/projects/hipdnn/test_sdk/include/hipdnn_test_sdk/utilities/FrontendGraphFactory.hpp
+++ b/projects/hipdnn/test_sdk/include/hipdnn_test_sdk/utilities/FrontendGraphFactory.hpp
@@ -30,7 +30,8 @@ enum class OperationType
     CONV_FWD_BIAS_ACTIV,
     BATCHNORM_TRAINING,
     BATCHNORM_INFERENCE,
-    BATCHNORM_BACKWARD
+    BATCHNORM_BACKWARD,
+    MATMUL
 };
 
 /// Factory class for creating frontend Graph objects for testing
@@ -59,6 +60,8 @@ class FrontendGraphFactory
             return createBatchnormInferenceGraph();
         case OperationType::BATCHNORM_BACKWARD:
             return createBatchnormBackwardGraph();
+        case OperationType::MATMUL:
+            return createMatmulGraph();
         default:
             throw std::runtime_error("Unknown OperationType");
         }
@@ -312,6 +315,32 @@ class FrontendGraphFactory
         dScaleAttr->set_output(true);
         dBiasAttr->set_output(true);
 
+        return graphObj;
+    }
+    /// Matmul graph
+    static Graph createMatmulGraph()
+    {
+        Graph graphObj;
+        graphObj.set_name("Test_Matmul");
+        graphObj.set_intermediate_data_type(DataType::FLOAT)
+            .set_compute_data_type(DataType::FLOAT)
+            .set_io_data_type(DataType::FLOAT);
+
+        std::vector<int64_t> aDims = {2, 3};
+        auto aStrides = hipdnn_data_sdk::utilities::generateStrides(aDims);
+        auto aAttr = graph::makeTensorAttributes("A", aDims, aStrides);
+        auto aTensorAttr = std::make_shared<graph::TensorAttributes>(std::move(aAttr));
+
+        std::vector<int64_t> bDims = {3, 4};
+        auto bStrides = hipdnn_data_sdk::utilities::generateStrides(bDims);
+        auto bAttr = graph::makeTensorAttributes("B", bDims, bStrides);
+        auto bTensorAttr = std::make_shared<graph::TensorAttributes>(std::move(bAttr));
+
+        graph::MatmulAttributes matmulAttrs;
+
+        auto cAttr = graphObj.matmul(aTensorAttr, bTensorAttr, matmulAttrs);
+        cAttr->set_output(true);
+
         return graphObj;
     }
 };
diff --git a/projects/hipdnn/tests/frontend/CMakeLists.txt b/projects/hipdnn/tests/frontend/CMakeLists.txt
index e35a16a78cf..a1fc4fd0cf7 100644
--- a/projects/hipdnn/tests/frontend/CMakeLists.txt
+++ b/projects/hipdnn/tests/frontend/CMakeLists.txt
@@ -17,6 +17,7 @@ add_executable(
     IntegrationGraphEngineFiltering.cpp
     IntegrationGraphKnobsApi.cpp
     IntegrationConvFpropDescriptorLowering.cpp
+    IntegrationMatmul.cpp
     IntegrationConvolutionWgradDescriptorLowering.cpp
 )
 
diff --git a/projects/hipdnn/tests/frontend/IntegrationMatmul.cpp b/projects/hipdnn/tests/frontend/IntegrationMatmul.cpp
new file mode 100644
index 00000000000..caf50c6544b
--- /dev/null
+++ b/projects/hipdnn/tests/frontend/IntegrationMatmul.cpp
@@ -0,0 +1,285 @@
+// Copyright © Advanced Micro Devices, Inc., or its affiliates.
+// SPDX-License-Identifier: MIT
+
+#include <algorithm>
+#include <cctype>
+#include <cmath>
+#include <gtest/gtest.h>
+#include <hip/hip_runtime.h>
+#include <iostream>
+#include <memory>
+#include <random>
+#include <vector>
+
+#include <hipdnn_data_sdk/utilities/MigratableMemory.hpp>
+#include <hipdnn_data_sdk/utilities/Tensor.hpp>
+#include <hipdnn_data_sdk/utilities/Workspace.hpp>
+#include <hipdnn_frontend.hpp>
+#include <hipdnn_test_sdk/utilities/TestUtilities.hpp>
+
+#include "test_plugins/TestPluginConstants.hpp"
+
+using namespace hipdnn_frontend;
+using namespace hipdnn_frontend::graph;
+using namespace hipdnn_data_sdk::utilities;
+
+namespace
+{
+
+enum class FailurePoint
+{
+    NONE,
+    CREATE_EXECUTION_PLAN,
+    EXECUTE
+};
+
+struct IntegrationTestCase
+{
+    std::string pluginPath;
+    std::string description;
+    std::string graphName;
+    FailurePoint expectedFailure;
+    bool useManualUids;
+
+    friend std::ostream& operator<<(std::ostream& os, const IntegrationTestCase& tc)
+    {
+        os << "MatmulTestCase{ plugin_path: " << tc.pluginPath
+           << ", description: " << tc.description << ", graph_name: " << tc.graphName
+           << ", expected_failure: ";
+
+        switch(tc.expectedFailure)
+        {
+        case FailurePoint::NONE:
+            os << "NONE";
+            break;
+        case FailurePoint::CREATE_EXECUTION_PLAN:
+            os << "CREATE_EXECUTION_PLAN";
+            break;
+        case FailurePoint::EXECUTE:
+            os << "EXECUTE";
+            break;
+        default:
+            os << "UNKNOWN";
+            break;
+        }
+
+        os << ", use_manual_uids: " << (tc.useManualUids ? "true" : "false") << " }";
+        return os;
+    }
+};
+
+template <typename Data_type>
+class IntegrationMatmul : public ::testing::TestWithParam<IntegrationTestCase>
+{
+protected:
+    struct SimpleMatmulTensorBundle
+    {
+        SimpleMatmulTensorBundle(const std::vector<int64_t>& aDims,
+                                 const std::vector<int64_t>& bDims,
+                                 const std::vector<int64_t>& cDims)
+            : aTensor(Tensor<Data_type>(aDims))
+            , bTensor(Tensor<Data_type>(bDims))
+            , cTensor(Tensor<Data_type>(cDims))
+        {
+            aTensor.fillWithValue(static_cast<Data_type>(1.0));
+            bTensor.fillWithValue(static_cast<Data_type>(1.0));
+            cTensor.fillWithValue(static_cast<Data_type>(0.0));
+        }
+
+        Tensor<Data_type> aTensor;
+        Tensor<Data_type> bTensor;
+        Tensor<Data_type> cTensor;
+    };
+
+    struct MatmulTestTensors
+    {
+        std::shared_ptr<TensorAttributes> a;
+        std::shared_ptr<TensorAttributes> b;
+        std::shared_ptr<TensorAttributes> c;
+    };
+
+    void SetUp() override
+    {
+        SKIP_IF_NO_DEVICES();
+    }
+
+    void TearDown() override
+    {
+        if(_handle != nullptr)
+        {
+            ASSERT_EQ(hipdnnDestroy(_handle), HIPDNN_STATUS_SUCCESS);
+        }
+    }
+
+    static hipdnnHandle_t setupEnvironmentWithPlugin(const std::string& pluginPath)
+    {
+        EXPECT_EQ(hipInit(0), hipSuccess);
+        int deviceId = 0;
+        EXPECT_EQ(hipGetDevice(&deviceId), hipSuccess);
+
+        const std::array<const char*, 1> paths = {pluginPath.c_str()};
+        EXPECT_EQ(hipdnnSetEnginePluginPaths_ext(
+                      paths.size(), paths.data(), HIPDNN_PLUGIN_LOADING_ABSOLUTE),
+                  HIPDNN_STATUS_SUCCESS);
+
+        hipdnnHandle_t handle = nullptr;
+        EXPECT_EQ(hipdnnCreate(&handle), HIPDNN_STATUS_SUCCESS);
+        return handle;
+    }
+
+    static std::pair<std::shared_ptr<Graph>, MatmulTestTensors> createMatmulTestGraphWithUids(
+        const std::string& graphName, const SimpleMatmulTensorBundle& bundle, bool useManualUids)
+    {
+        auto graph = std::make_shared<hipdnn_frontend::graph::Graph>();
+        graph->set_name(graphName)
+            .set_io_data_type(DataType::FLOAT)
+            .set_intermediate_data_type(DataType::FLOAT)
+            .set_compute_data_type(DataType::FLOAT);
+
+        int64_t uid = 1;
+        MatmulTestTensors tensors;
+
+        auto aAttr
+            = makeTensorAttributes("A", getDataTypeEnumFromType<Data_type>(), bundle.aTensor);
+        if(useManualUids)
+        {
+            aAttr.set_uid(uid++);
+        }
+        tensors.a = std::make_shared<TensorAttributes>(std::move(aAttr));
+
+        auto bAttr
+            = makeTensorAttributes("B", getDataTypeEnumFromType<Data_type>(), bundle.bTensor);
+        if(useManualUids)
+        {
+            bAttr.set_uid(uid++);
+        }
+        tensors.b = std::make_shared<TensorAttributes>(std::move(bAttr));
+
+        MatmulAttributes matmulAttrs;
+        matmulAttrs.set_name("matmul");
+
+        tensors.c = graph->matmul(tensors.a, tensors.b, matmulAttrs);
+        if(useManualUids)
+        {
+            tensors.c->set_uid(uid++);
+        }
+        tensors.c->set_output(true);
+
+        return {graph, tensors};
+    }
+
+    static std::unordered_map<int64_t, void*> createVariantPack(const MatmulTestTensors& tensors,
+                                                                SimpleMatmulTensorBundle& bundle)
+    {
+        std::unordered_map<int64_t, void*> vp;
+        vp[tensors.a->get_uid()] = bundle.aTensor.memory().deviceData();
+        vp[tensors.b->get_uid()] = bundle.bTensor.memory().deviceData();
+        vp[tensors.c->get_uid()] = bundle.cTensor.memory().deviceData();
+        return vp;
+    }
+
+    static void runGraphPipeline(const std::shared_ptr<Graph>& graph,
+                                 hipdnnHandle_t handle,
+                                 const MatmulTestTensors& tensors,
+                                 SimpleMatmulTensorBundle& bundle,
+                                 FailurePoint expectedFailure)
+    {
+        auto result = graph->validate();
+        ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
+
+        result = graph->build_operation_graph(handle);
+        ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
+
+        result = graph->create_execution_plans();
+        if(expectedFailure == FailurePoint::CREATE_EXECUTION_PLAN)
+        {
+            ASSERT_NE(result.code, ErrorCode::OK);
+            return;
+        }
+        ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
+
+        result = graph->check_support();
+        ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
+
+        result = graph->build_plans();
+        ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
+
+        int64_t workspaceSize;
+        result = graph->get_workspace_size(workspaceSize);
+        ASSERT_EQ(result.code, ErrorCode::OK);
+        ASSERT_GE(workspaceSize, 0);
+        Workspace workspace(static_cast<size_t>(workspaceSize));
+
+        auto vp = createVariantPack(tensors, bundle);
+
+        result = graph->execute(handle, vp, workspace.get());
+        if(expectedFailure == FailurePoint::EXECUTE)
+        {
+            ASSERT_NE(result.code, ErrorCode::OK);
+        }
+        else
+        {
+            ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
+        }
+    }
+
+    void runTest()
+    {
+        const auto& tc = GetParam();
+
+        _handle = setupEnvironmentWithPlugin(tc.pluginPath);
+
+        SimpleMatmulTensorBundle bundle({2, 3}, {3, 4}, {2, 4});
+
+        auto [graph, tensors]
+            = createMatmulTestGraphWithUids(tc.graphName, bundle, tc.useManualUids);
+
+        runGraphPipeline(graph, _handle, tensors, bundle, tc.expectedFailure);
+    }
+
+private:
+    hipdnnHandle_t _handle = nullptr;
+};
+
+} // namespace
+
+class IntegrationMatmulFp32 : public IntegrationMatmul<float>
+{
+};
+
+TEST_P(IntegrationMatmulFp32, ExecutePluginPipeline)
+{
+    runTest();
+}
+
+INSTANTIATE_TEST_SUITE_P(
+    ,
+    IntegrationMatmulFp32,
+    ::testing::Values(
+        IntegrationTestCase{hipdnn_tests::plugin_constants::testGoodPluginPath(),
+                            "GoodPluginManualUids",
+                            "MatmulTestManualUID",
+                            FailurePoint::NONE,
+                            true},
+        IntegrationTestCase{hipdnn_tests::plugin_constants::testGoodPluginPath(),
+                            "GoodPluginAutoUids",
+                            "MatmulTestAutoUID",
+                            FailurePoint::NONE,
+                            false},
+        IntegrationTestCase{hipdnn_tests::plugin_constants::testExecuteFailsPluginPath(),
+                            "ExecuteFailsPlugin",
+                            "MatmulTestExecuteFail",
+                            FailurePoint::EXECUTE,
+                            true},
+        IntegrationTestCase{hipdnn_tests::plugin_constants::testNoApplicableEnginesAPluginPath(),
+                            "NoEnginesPlugin",
+                            "MatmulTestNoEngines",
+                            FailurePoint::CREATE_EXECUTION_PLAN,
+                            true}),
+    [](const ::testing::TestParamInfo<IntegrationTestCase>& info) {
+        std::string name = info.param.description;
+        std::transform(name.begin(), name.end(), name.begin(), [](unsigned char c) {
+            return std::isalnum(c) ? c : '_';
+        });
+        return name;
+    });