Xavier is lower performance than TX2

I purchased TX2 and Xavier respectively,
Xavier’s performance is not as fast as TX2, so please inquire if there is a way to increase the performance.

We performed 3 different deep learning model inferences in Tx2 and Xaver respectively.
The first reasoning is that Xavier tends to be slow.

TX2 First inference : 9.4 s
TX2 Second inference : 530 ms
Xavier First inference : 13 s
Xavier Second inference : 510 ms

On the Spec, Xavier should be much faster, but it’s strange.

Please confirm it.

  • Package version
  1. TX2
    Jetpack 4.3
    cuda 10.0
    cudnn 7.6
    tensorflow 1.15.2+nv20.2.tf1
    tensorrt 6.0.1.10
  2. Xavier
    Jetpack 4.3
    cuda 10.0
    cudnn 7.6
    tensorflow 1.15.0+nv20.1.tf1
    tensorrt 6.0.1.10

Hi,

Have you maximized the device performance first?

$ sudo nvpmodel -m 0
$ sudo jetson_clocks

Thanks.