diff --git a/applications/baremetal/main.cpp b/applications/baremetal/main.cpp
new file mode 100644
index 0000000..e1e01de
--- /dev/null
+++ b/applications/baremetal/main.cpp
@@ -0,0 +1,84 @@
+/*
+ * Copyright (c) 2021 Arm Limited. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/****************************************************************************
+ * Includes
+ ****************************************************************************/
+
+// NPU driver
+#include "ethosu_driver.h"
+// Inference process
+#include "inference_process.hpp"
+// System includes
+#include <stdio.h>
+#include <vector>
+
+// Model data
+#include "input.h"
+#include "model.h"
+#include "output.h"
+
+using namespace std;
+
+/****************************************************************************
+ * InferenceJob
+ ****************************************************************************/
+
+#ifndef TENSOR_ARENA_SIZE
+#define TENSOR_ARENA_SIZE 2000000
+#endif
+
+__attribute__((section(".bss.tensor_arena"), aligned(16))) uint8_t TFLuTensorArena[TENSOR_ARENA_SIZE];
+
+InferenceProcess::InferenceProcess inferenceProcess(TFLuTensorArena, TENSOR_ARENA_SIZE);
+
+uint8_t outputData[176] __attribute__((aligned(16), section("output_data_sec")));
+
+int runInference() {
+    // Load inference data
+    vector<InferenceProcess::DataPtr> input;
+    input.push_back(InferenceProcess::DataPtr(inputData, sizeof(inputData)));
+
+    vector<InferenceProcess::DataPtr> output;
+    output.push_back(InferenceProcess::DataPtr(outputData, sizeof(outputData)));
+
+    vector<InferenceProcess::DataPtr> expected;
+    expected.push_back(InferenceProcess::DataPtr(expectedOutputData, sizeof(expectedOutputData)));
+
+    // Create job
+    InferenceProcess::InferenceJob job(string(modelName),
+                                       InferenceProcess::DataPtr(networkModelData, sizeof(networkModelData)),
+                                       input,
+                                       output,
+                                       expected,
+                                       512,
+                                       std::vector<uint8_t>(4),
+                                       false);
+
+    // Run job
+    bool failed = inferenceProcess.runJob(job);
+    printf("Status of executed job: ");
+    printf(failed ? "Failed\n" : "Success\n");
+
+    return failed;
+}
+
+int main() {
+    int ret = runInference();
+    return ret;
+}
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