From what I understand FVP Fast models are supposed to run at speeds comparable to real hardware. But when I’m trying to evaluate the example specified here → Image Classification Code Sample the inference speed is orders of magnitude slower (on FVP_Corstone_SSE-300_Ethos-U55) than the real hardware. Are there any custom settings that can be used to improve the execution timing for the FVP platform and make it more closer to real-time? It would really be helpful to get some idea on the limitation here. Thank you
I’ve already tried disabling timing adapters via ETHOS_U_NPU_TIMING_ADAPTER_ENABLED.