Is the performance bug of nvds_obj_enc_finish() existed on x86 version

**• Hardware Platform (Jetson / GPU) RTX-4090
**• DeepStream Version: 6.2
• JetPack Version (valid for Jetson only)
**• TensorRT Version:
**• NVIDIA GPU Driver Version (valid for GPU only): 535.54.03
**• Issue Type( questions, new requirements, bugs): Questions

In this post - 243883. we have performance bug of nvds_obj_enc_finish () on Orin NX platform.
Now we’d like to migrate to x86 platform with RTX-4090.
We want know if the bug is existed on x86 platform? And if yes, please provide solution.


x86 GPU is different(hardware and software). What do you expect the performance for the x86 GPU JPEG encoder is?

Now we are running deepstream-app on x86.
With dual 120 FPS cameras, we get stable 120 FPS performance.

However FPS is dropped, if we save jpeg files by nvds_obj_enc_finish() in some frames,
It seems it costs about 40 ms to do jpegencode process for one image file.

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

So your requirement is 1080p 120fps JPEG encoding, right?

Can you send message to tell us your company and project?

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