Original paper: Results using CIFAR-10 below. ![]() CIFAR-10 CNN as implemented by CMSIS-NN. ![]() Performance of CMSIS-NN over baseline CNN written using arm_conv in CMSIS-DSP. Platform: NUCLEO-F746ZG mbed board with an Arm Cortex-M7 core running at 216 MHz. Note: using state-of-art DNN, researchers has achieved ≥93% of accuracy on CIFAR-10. Performance on STM32 compared with other SoCs, as reported by AiOTA Labs. The players:
Looks like the GAP8 is many times more power-efficient than Cortex. At 10 FPS, the GAP8 needs 3.7 mW versus 60 mW on STM32. But it comes at a price. Very heavy price. The cost of an Arduino-compatible GAP8 board is 100,00€. And it's not running CMSIS-NN either. CMSIS-NN is for ARM processors only. Back to CMSIS-NN.
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