Approved version. Approved on: 10:46, 27 November 2023

Last edited one year ago

AI - Application examples

Applicable for

STM32MP13x lines, STM32MP15x lines, STM32MP21x lines, STM32MP23x lines, STM32MP25x lines

1. Application samples[edit | edit source]

	Only for STM32MP2¹
	NPU/GPU	CPU	CPU
Image classification
Object detection
Pose estimation
Semantic segmentation
Face recognition
People tracking/heatmap

Important

¹ NPU/GPU acceleration based on OpenVX backend using network binary graph (NBG) is available only for STM32MP257, STM32MP255 and STM32MP235 boards

2. Performance Comparison[edit | edit source]

	Model	STM32MP25 NPU	STM32MP15x CPU
Image classification	MobilenetV1_0.5 128x128	515 FPS	22 FPS
Image classification	MobilenetV2_1.0 224x224	72 FPS	2 FPS
Object detection	SSD_MobilenetV1_1.0 300x300	40 FPS	2 FPS
Object detection	SSD_MobilenetV2_FPNLite 224x224	36 FPS	0.8 FPS
Face recognition	Blazeface + Facenet	33 FPS	1.5 FPS
Pose estimation	YoloV8n 256x256	59 FPS	1.3 FPS
Semantic segmentation	DeepLabV3 257x257	17 FPS	1 FPS
People tracking/heatmap	YoloV8n 320x320	51.8 FPS	1.3 FPS

Pages in category "AI - Application examples"

The following 6 pages are in this category, out of 6 total.

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