I have a Jetson Nano 4GB and 64gb sd card
For a project case I wanted to reflash nano withJetPack 4.6 and , after this my nano started working too slow and I didn’t downloaded anything yet that it’s even not able to handle 2 or more open Chromium tabs, it is on MAXN mode and I always run jetson_clocks on the start. Still doesn’t helps.
When I tried to check my Jetpack version I came across the result below and I thought could seeing 2 packages could be causing this performance leakage?
what dose this meant, did all CPU resources were occupied?
could you please check $ top and share the results.
may I know how you re-flash the Nano platform. are you using SDKManager or you’re flashing that through flash.sh manually?
btw, you may check $ cat /etc/nv_tegra_release | head for the release version,
thanks
it shows light CPU usage. 6.1% occupied by user-space.
what exactly the “slow” you’ve experience, is there any performance evaluation results for reference?
thanks
I’m sorry that I’m not able to give you any sensable example but Nano takes more time than it does before to start.
Screen doesn’t reacts when I type something after a while I see what I type. When Chromium is open I get frozen screen. I mean I haven’t even been able to launch my project when Nano is behaving like this.
If you could suggest me commands to search more Nano performance on device, I’d be more than happy to share the results.
how you flash the Nano platform, are you using SDKManager, or you’re downloading SD Card Image?
what’s the kernel messages reported, is there any failure reported from low-level side? i.e. $ dmesg > klog.txt
could you please execute tegrastats utility, please gather the statistics for reference, i.e. $ sudo ./tegrastats --interval 5000, and you may repo the issue, for example, when Chromium is open I get frozen screen, then sharing the results for reference,
thanks
I see nothing special in the kernel logs, if it’s possible, could you please share the complete steps you’ve done for reference.
for example, what’s the SDcard partition you’ve formatted, how can we reproduce the issue locally.