X-LINUX-AI application samples zoo

Applicable for

STM32MP13x lines, STM32MP15x lines, STM32MP25x lines

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1. Application samples

	Only for STM32MP2 1
	NPU/GPU	CPU	CPU	EdgeTPU
Image classification
Object detection
Pose estimation
Semantic segmentation
Face recognition

Important

1 NPU/GPU acceleration based on OpenVX backend using network binary graph (NBG) is available only for STM32MP2x boards

2. Performance Comparison

	Model	STM32MP25 NPU	STM32MP15x CPU
Image classification	MobilenetV1_0.5 128x128	515 FPS	22 FPS
	MobilenetV2_1.0 224x224	72 FPS	2 FPS
Object detection	SSD_MobilenetV1_1.0 300x300	40 FPS	2 FPS
	SSD_MobilenetV2_FPNLite 224x224	36 FPS	0.8 FPS
Face recognition	STModel_FaceReco	15 FPS	5 FPS
Pose estimation	YoloV8n 256x256	59 FPS	1.3 FPS
Semantic segmentation	DeepLabV3 257x257	17 FPS	1 FPS