DOCS-menu_recreate_structure_step3 (#14575)

port https://github.com/openvinotoolkit/openvino/pull/14574
Adjusting the benchmarks structure
Restructure menu and adjust content for benchmarks and getting performance numbers

docs/benchmarks/performance_benchmarks.md

@@ -8,6 +8,7 @@
 
    openvino_docs_performance_benchmarks_openvino
    openvino_docs_performance_benchmarks_ovms
+   openvino_docs_MO_DG_Getting_Performance_Numbers
 
 
 @endsphinxdirective
@@ -16,9 +17,12 @@ The [Intel® Distribution of OpenVINO™ toolkit](https://software.intel.com/c
 
 The benchmark results below demonstrate high performance gains on several public neural networks on multiple Intel® CPUs, GPUs and VPUs covering a broad performance range. The results may be helpful when deciding which hardware is best for your applications and solutions or to plan AI workload on the Intel computing already included in your solutions.
 
-The following benchmarks are available:
+Benchmarks are available for:
 
-* [Intel® Distribution of OpenVINO™ toolkit Benchmark Results](performance_benchmarks_openvino.md).
+* [Intel® Distribution of OpenVINO™ toolkit](performance_benchmarks_openvino.md).
+* [OpenVINO™ Model Server](performance_benchmarks_ovms.md).
 
 
+You can also test performance for your system yourself, following the guide on [getting performance numbers](../MO_DG/prepare_model/Getting_performance_numbers.md).
 Performance of a particular application can also be evaluated virtually using [Intel® DevCloud for the Edge](https://devcloud.intel.com/edge/). It is a remote development environment with access to Intel® hardware and the latest versions of the Intel® Distribution of the OpenVINO™ Toolkit. To learn more about it, visit [the website](https://www.intel.com/content/www/us/en/developer/tools/devcloud/edge/overview.html) or [create an account](https://www.intel.com/content/www/us/en/forms/idz/devcloud-registration.html?tgt=https://www.intel.com/content/www/us/en/secure/forms/devcloud-enrollment/account-provisioning.html).
+

docs/benchmarks/performance_benchmarks_faq.md

@@ -20,9 +20,14 @@
 
 .. dropdown:: How can I run the benchmark results on my own?
 
-   All of the performance benchmarks were generated using the
+   All of the performance benchmarks are generated using the
    open-source tool within the Intel® Distribution of OpenVINO™ toolkit
-   called `benchmark_app`. This tool is available in both `C++ <https://github.com/openvinotoolkit/openvino/blob/master/samples/cpp/benchmark_app/README.md>`_ and `Python <https://github.com/openvinotoolkit/openvino/blob/master/tools/benchmark_tool/README.md>`_.
+   called `benchmark_app`. This tool is available 
+   `for C++ apps <openvino_inference_engine_samples_benchmark_app_README>`_ 
+   as well as 
+   `for Python apps<openvino_inference_engine_tools_benchmark_tool_README>`_.
+
+   For a simple instruction on testing performance, see the `Getting Performance Numbers Guide<openvino_docs_MO_DG_Getting_Performance_Numbers>`
 
 .. dropdown:: What image sizes are used for the classification network models?