CUDA time difference between print function and Profiler TensorBoard

[med-galaxies]

I try to analyse the time spent on CPU and GPU using the print function and Profiler Tensorboard. But I get the different result about the time on CPU and GPU.
For print(prof.key_averages().table(sort_by="cuda_time_total", row_limit=20)), I get the following result:

The above result shows that CPU time is more than GPU time. But when I use the tensorboard to show the result, the GPU time is counted much more:

I am not sure which of these is the correct result, or am I misunderstanding them?