Jetson xavier nx is slow

Hello,

I have been using jetson xavier nx devkit for quite some time. But all of sudden i feel the speed of device has become slow. Like every small action takes time either it may be opening a simple terminal or any other application. My main worry is i am running the realtime STT (speech to Text) on jetson xnx and rpi5 paralelly. When i run the simple speech to text (whisper) model, the rpi5 started to listening within 2 seconds, but jetson took 30 sec start listening after running the code. So i am doubtful if anything is mismatched here .

I am using:
Jetpack 5.1.4
python3.8
Boot : SD card (128 GB)
swap memory: 11GB
i checked the number of cpu cores running its 6.

Anyone has any idea like what could have gone wrong

Hi,

Could you share more details about how you run the inference?
Do you run it with PyTorch? If so, is CUDA enabled?

Thanks.

I have installed the torch 2.1.0… wheel supported for our current jetpack mentioned from nvidia site and torch with cuda is also enabled( torch.cuda.is_available() is True)

Hi,

Please also try the below commands to maximize the device performance:

$ sudo nvpmodel -m 0
$ sudo jetson_clocks

Then if the performance doesn’t improve, please run the tegrastats concurrently and share the log with us.

$ sudo tegrastats

Thanks.

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