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→Version 1 (no NPU acceleration)
The following sections detail the execution of the first version of the classifier on the embedded platform. The number of threads was also tweaked in order to test different configurations. During the execution, the well-known <code>[https://en.wikipedia.org/wiki/Htop htop]</code> utility was used to monitor the system. This tool is very convenient to get some useful information such as cores allocation, processor load, and number of running threads.
==== Floating-point model ====
The following dump refers to the execution of the application.<pre class="board-terminal">
root@imx8mpevk:/mnt/ramdisk/image_classifier_eIQ_plus# build/image_classifier_cv 2 my_converted_model.tflite labels.txt testdata/red-apple1.jpg
[[File:ML-TN-001 4 weightsquant default.png|thumb|center|600px|Thread parameter unspecified]]
==== <big>Fully-quantized model</big> ====
<pre class="board-terminal">
root@imx8mpevk:/mnt/ramdisk/image_classifier_eIQ_plus# build/image_classifier_cv 3 my_fruits_model_qatlegacy.tflite labels.txt testdata/red-apple1.jpg
