Why is inferencing result different on dGPU vs Jetson given same model and input source?

[mchi]

@wsong

The “same” that I am observing is the number of inference result (e.g: number of people detected using my Yolo model). It is not referring to the same BBOX coordinate nor inference output binary bit.

I don’t think this is expected.
You may could refer to DeepStream SDK FAQ - #21 by mchi to narrow down this accuracy issue.

Thanks!