diff --git a/docs/articles_en/learn_openvino/openvino_samples/cpp_sample_sync_benchmark.md b/docs/articles_en/learn_openvino/openvino_samples/cpp_sample_sync_benchmark.md
index e4430f0331b..0adb885e6fa 100644
--- a/docs/articles_en/learn_openvino/openvino_samples/cpp_sample_sync_benchmark.md
+++ b/docs/articles_en/learn_openvino/openvino_samples/cpp_sample_sync_benchmark.md
@@ -70,7 +70,7 @@ Running
 
 .. code-block:: sh
 
-   sync_benchmark <path_to_model>
+   sync_benchmark <path_to_model> <device_name>(default: CPU)
 
 
 To run the sample, you need to specify a model:
diff --git a/docs/articles_en/learn_openvino/openvino_samples/python_sample_sync_benchmark.md b/docs/articles_en/learn_openvino/openvino_samples/python_sample_sync_benchmark.md
index ecd142cffca..fdbd0fddb2f 100644
--- a/docs/articles_en/learn_openvino/openvino_samples/python_sample_sync_benchmark.md
+++ b/docs/articles_en/learn_openvino/openvino_samples/python_sample_sync_benchmark.md
@@ -67,7 +67,7 @@ Running
 
 .. code-block:: sh
 
-   python sync_benchmark.py <path_to_model>
+   python sync_benchmark.py <path_to_model> <device_name>(default: CPU)
 
 
 To run the sample, you need to specify a model:
@@ -138,4 +138,4 @@ See Also
 * :doc:`Model Downloader <omz_tools_downloader>`
 * :doc:`Convert a Model <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>`
 
-@endsphinxdirective
\ No newline at end of file
+@endsphinxdirective
diff --git a/samples/cpp/benchmark/sync_benchmark/main.cpp b/samples/cpp/benchmark/sync_benchmark/main.cpp
index b2f09d9053d..c0bb1656cef 100644
--- a/samples/cpp/benchmark/sync_benchmark/main.cpp
+++ b/samples/cpp/benchmark/sync_benchmark/main.cpp
@@ -20,8 +20,12 @@ int main(int argc, char* argv[]) {
     try {
         slog::info << "OpenVINO:" << slog::endl;
         slog::info << ov::get_openvino_version();
-        if (argc != 2) {
-            slog::info << "Usage : " << argv[0] << " <path_to_model>" << slog::endl;
+
+        std::string device_name = "CPU";
+        if (argc == 3) {
+            device_name = argv[2];
+        } else if (argc != 2) {
+            slog::info << "Usage : " << argv[0] << " <path_to_model> <device_name>(default: CPU)" << slog::endl;
             return EXIT_FAILURE;
         }
         // Optimize for latency. Most of the devices are configured for latency by default,
@@ -29,11 +33,11 @@ int main(int argc, char* argv[]) {
         ov::AnyMap latency{{ov::hint::performance_mode.name(), ov::hint::PerformanceMode::LATENCY}};
 
         // Create ov::Core and use it to compile a model.
-        // Pick a device by replacing CPU, for example AUTO:GPU,CPU.
+        // Select the device by providing the name as the second parameter to CLI.
         // Using MULTI device is pointless in sync scenario
         // because only one instance of ov::InferRequest is used
         ov::Core core;
-        ov::CompiledModel compiled_model = core.compile_model(argv[1], "CPU", latency);
+        ov::CompiledModel compiled_model = core.compile_model(argv[1], device_name, latency);
         ov::InferRequest ireq = compiled_model.create_infer_request();
         // Fill input data for the ireq
         for (const ov::Output<const ov::Node>& model_input : compiled_model.inputs()) {
diff --git a/samples/python/benchmark/sync_benchmark/sync_benchmark.py b/samples/python/benchmark/sync_benchmark/sync_benchmark.py
index e270d25a64f..6aed1a489e1 100755
--- a/samples/python/benchmark/sync_benchmark/sync_benchmark.py
+++ b/samples/python/benchmark/sync_benchmark/sync_benchmark.py
@@ -30,19 +30,22 @@ def main():
     log.basicConfig(format='[ %(levelname)s ] %(message)s', level=log.INFO, stream=sys.stdout)
     log.info('OpenVINO:')
     log.info(f"{'Build ':.<39} {get_version()}")
-    if len(sys.argv) != 2:
-        log.info(f'Usage: {sys.argv[0]} <path_to_model>')
+    device_name = 'CPU'
+    if len(sys.argv) == 3:
+        device_name = sys.argv[2]
+    elif len(sys.argv) != 2:
+        log.info(f'Usage: {sys.argv[0]} <path_to_model> <device_name>(default: CPU)')
         return 1
     # Optimize for latency. Most of the devices are configured for latency by default,
     # but there are exceptions like GNA
     latency = {'PERFORMANCE_HINT': 'LATENCY'}
 
     # Create Core and use it to compile a model.
-    # Pick a device by replacing CPU, for example AUTO:GPU,CPU.
+    # Select the device by providing the name as the second parameter to CLI.
     # Using MULTI device is pointless in sync scenario
     # because only one instance of openvino.runtime.InferRequest is used
     core = ov.Core()
-    compiled_model = core.compile_model(sys.argv[1], 'CPU', latency)
+    compiled_model = core.compile_model(sys.argv[1], device_name, latency)
     ireq = compiled_model.create_infer_request()
     # Fill input data for the ireq
     for model_input in compiled_model.inputs: