Thank you for your reply.
Even I used ‘fuse’ for conv+relu and linear+relu but there is no speed improvement.
The QNNPACK is well enabled because I checked quantized mobilenet in torchvision.models.quantization.mobilenet which uses qnnpack backend is faster than fp32 model.
Could you suggest another feasible solution?