Difference between revisions of "ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 3"

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==Introduction==
 
==Introduction==
This Technical Note (TN for short) details the execution of the same inference application described [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_2|here]] on the i.MX8M Plus EVK. The results achieved are alco compared to the ones
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This Technical Note (TN for short) details the execution of the same inference application described [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_2|here]] on the [https://www.nxp.com/products/processors-and-microcontrollers/arm-processors/i-mx-applications-processors/i-mx-8-processors/i-mx-8m-plus-arm-cortex-a53-machine-learning-vision-multimedia-and-industrial-iot:IMX8MPLUS NXP i.MX8M Plus EVK]. The results achieved are also compared to the ones produced by the i.MX8M-powered platform that was considered previously.

Revision as of 15:12, 7 September 2020

Info Box
DMI-Mito-top.png Applies to MITO 8M
Work in progress


History[edit | edit source]

Version Date Notes
1.0.0 September 2020 First public release

Introduction[edit | edit source]

This Technical Note (TN for short) details the execution of the same inference application described here on the NXP i.MX8M Plus EVK. The results achieved are also compared to the ones produced by the i.MX8M-powered platform that was considered previously.