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This Technical Note (TN for short) belongs to the series introduced [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1|here]].
This article illustrates the comparison compares in terms of performance of a Machine Learning-based classification application when accelerated with different Neural Processing Units, namely the NXP i.MX8M Plus NPU and the [https://coral.ai/products/accelerator/ Google Coral Edge TPU].
Originally, the idea was to use the classifier described in [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1#Reference_application_.231:_fruit_classifier|this section]], which was already tested with the i.MX8M Plus NPU as described [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_4|in this TN]]. However, this idea had to be discarded because of unexpected difficulties detailed in the following sections.
