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

Info Box Applies to Machine Learning

Work in progress

Contents

HistoryEdit

Version	Date	Notes
1.0.0	September 2020	First public release

IntroductionEdit

This Technical Note (TN for short) belongs to the series introduced here. Specifically, it illustrates the execution of an inference application (fruit classifier) that makes use of the model described in this section when executed on the Xilinx Zynq UltraScale+ MPSoC ZCU104 Evaluation Kit. The results achieved are also compared to the ones produced by the platforms that were considered in the previous articles of this series.

EnvironmentEdit

	Component	Name/version	Version
Host
Target	Hardware platform	ZCU104
	Linux BSP	Petalinux	2020.1

Building and running the applicationEdit

In order to have reproducible and reliable results, some measures were taken:

• The inference was repeated several times and the average execution time was computed
• All the files required to run the test—the executable, the image files, etc.—are stored on a tmpfs RAM disk in order to make file system/storage medium overhead neglectable.