The acoustic model is quantized, the vocoder model not, but both are massaged via optimize_for_mobile. As for the thread numbers: you are probably right that the slow ones are only in the way. But then again: do we have any influence on which cores inferencing takes place ? Or is the scheduler picking up always the fastest cores anyway ? Or does PyTorch mobile automatically set CPU affinity ?