stm32mp2 used yolo11 module.
Now, i used yolo11 module ,
cd /opt/ST/STEdgeAI/2.2/Utilities/linux/
./stedgeai generate -m /home/alientek/STM32MPU_workspace/yolo11.onnx --target stm32mp25
and get yolo11.nb file
in the my stm32mp2 broad.
x-linux-ai-benchmark -m ./yolo11n.nb
ββββββββββββββββββββββββββββββββββββββββββββββββββ
β X-LINUX-AI unified NN model benchmark β
β βββββββββββββββββββββββββββββββββ¦ββββββββββββββββ£
β Machine β STM32MP257 β
β CPU cores β 2 β
β CPU Clock frequency β 1.5GHz β
β GPU/NPU Driver Version β 6.4.19 β
β GPU/NPU Clock frequency β 800 MHZ β
β X-LINUX-AI Version β v6.0.0 β
β β β
β β β
ββββββββββββββββββββββββββββββββββ©ββββββββββββββββ
For hardware accelerated models, computation engine used for benchmark is NPU running at 800 MHZ
For other models, computation engine uses for benchmark is CPU with 2 cores at : 1.5GHz
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β NBG models benchmark β
β βββββββββββββ¦ββββββββββββββββββββββ¦ββββββββ¦ββββββββ¦ββββββββ¦ββββββββββββββββ£
β Model Name β Inference Time (ms) β CPU % β GPU % β NPU % β Peak RAM (MB) β
β βββββββββββββ¬ββββββββββββββββββββββ¬ββββββββ¬ββββββββ¬ββββββββ¬ββββββββββββββββ£
β yolo11n β 1043.37 β 0.0 β 96.23 β 3.77 β 30.02 β
ββββββββββββββ©ββββββββββββββββββββββ©ββββββββ©ββββββββ©ββββββββ©ββββββββββββββββ
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Non-Optimal models β
β βββββββββββββ¦ββββββββββββββββββββββββββββββββββββββββββββββββββ£
β model name β comments β
β βββββββββββββ¬ββββββββββββββββββββββββββββββββββββββββββββββββββ£
β yolo11n β GPU usage is 96.23% compared to NPU usage 3.77% β
β β please verify if the model is quantized or that β
β β the quantization scheme used is the 8-bits per- β
β β tensor β
ββββββββββββββ©ββββββββββββββββββββββββββββββββββββββββββββββββββ
the Inference Time is 1043.37 ms.