Dear ST team,
I trained a face detection model.
On https://stedgeai-dc.st.com/, Select a platform->Quantize->Optimize->Benchmark
I found that GPU occupies 93.69% and NPU occupies 6.31%. How to improve npu utilization?
According to the official website documentation, it should be per-channel now. How to convert it to per-tensor?
The attachment below is my model file.
Thanks.
