I'm training a model of object detection with Tensorflow object detection API on windows 10 it looks around 3-4 times faster than ubuntu 18.04 and I don't know why I'm using same batch size, same PC and same dataset what could be the problem here ?
I'm using gtx 1050 4gb
the model is SSD mobilnet v2
windows: Step 100 per-step time 0.729s loss=0.841
ubunto: Step 100 per-step time 2.859s loss=0.841