SFace: Quantized model is slower

[yjpak0608]

Thank you for great work.
I tested SFace recognition.
Surprisingly, face_recognition_sface_2021dec_int8.onnx is slower about 50% than face_recognition_sface_2021dec.onnx.
Is it normal?
Initially I wanted to speed up this model by converting TF Lite.
I wonder if this would be effective or not.

[fengyuentau]

Surprisingly, face_recognition_sface_2021dec_int8.onnx is slower about 50% than face_recognition_sface_2021dec.onnx.

OpenCV dnn supports int8 quantized models but is not optimized good enough for that. I would suggest using non quantized version if it meets your need.

[MuskanYadavPro]

The int8 version can be slower because of how it processes data. Converting to TF Lite might speed things up, especially on devices that work well with TF Lite.