Yolov4 quantization and latency

[ARooney85]

After TF Lite quantization the size of Yolov4 tiny model is reduced indeed. But the latency is increasing. For dynamic-range quantization up to 2-3 times. For int8 - up to 4-5 times. I tested it on desktop linux (x86-64) and Raspberry 3 (armv7). The result is same. Is it the problem that TF Lite optimizer doesn't support Yolov4 tiny layers?

[rossGardiner]

Does anyone have any insight on this? I'm wondering what datatypes to quantize for for acceleration on arm devices like RPi...