Docs: Update Benchmark Tool example outputs (#13555)

* docs: revise example and update outputs

* docs: revise example and update outputs

* docs: typo fix

* docs: rectify changes

* docs: add <a> tag

* Update README.md

* docs: change example to use asl-recognition model

* docs: fix <a> tag

* docs: update sample outputs

* docs: change example to use asl-recognition model

* docs: revise example to use asl-recognition model

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

samples/cpp/benchmark_app/README.md

@@ -200,7 +200,7 @@ Running the application with the empty list of options yields the usage message
 The benchmark tool supports topologies with one or more inputs. If a topology is not data sensitive, you can skip the input parameter, and the inputs will be filled with random values. If a model has only image input(s), provide a folder with images or a path to an image as input. If a model has some specific input(s) (besides images), please prepare a binary file(s) that is filled with data of appropriate precision and provide a path to it as input. If a model has mixed input types, the input folder should contain all required files. Image inputs are filled with image files one by one. Binary inputs are filled with binary inputs one by one.
 
 ## Examples of Running the Tool
-This section provides step-by-step instructions on how to run the Benchmark Tool with the `asl-recognition` model from the Open Model Zoo on CPU or GPU devices. It uses random data as the input.
+This section provides step-by-step instructions on how to run the Benchmark Tool with the `asl-recognition` model from the [Open Model Zoo](@ref model_zoo) on CPU or GPU devices. It uses random data as the input.
 
 > **NOTE**: Internet access is required to execute the following steps successfully. If you have access to the Internet through a proxy server only, please make sure that it is configured in your OS environment.
 

tools/benchmark_tool/README.md

@@ -216,7 +216,7 @@ This section provides step-by-step instructions on how to run the Benchmark Tool
    pip install openvino-dev
    ```
 
-2. Download the model using omz_downloader, specifying the model name and directory to download the model to:
+2. Download the model using `omz_downloader`, specifying the model name and directory to download the model to:
    ```sh
    omz_downloader --name asl-recognition-0004 --precisions FP16 --output_dir omz_models
    ```