Model accuracy when training on GPU and then inferencing on CPU
The results you get will be identical* for identical inputs. So for any practical purposes, the accuracy you get will not depend on whether you use a cpu or gpu.
*up to floating point precision. From this post on the pytorch forum:

Both are implementing the floating point number computation standard.
So they are both correct (even though [they may be] different)