CUDA ISP for NVIDIA Jetson: Performance
| CUDA ISP for NVIDIA Jetson | |
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| User Manual | |
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| Performance | |
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This page is still under development. Please, do not take the performance data as definitive.
Library API performance
To measure the CUDA ISP API performance, we built a simple example (provided upon request) that iterates over the Apply methods for each algorithm and records performance metrics for each iteration. We measured the duration of each algorithm's Apply method. We also measured CPU, CPU RAM, GPU, and GPU RAM usage for the complete processing pipeline iterating at 30fps. We ran the experiments on both 1080p and 4K buffers. We also ran the experiments on the Jetson Nano, Jetson Xavier NX, Jetson Xavier AGX, and Jetson AGX Orin.
- We measured the duration of each
Applymethod separately using thechronolibrary. - We used the
sys/times.hlibrary to obtain the CPU usage. - We read the
/proc/self/statusfile to obtain the CPU RAM usage. - We used jtop to measure GPU usage on the Jetson Nano and Jetson Xavier NX. We use jetson-stats to measure GPU usage on the Jetson Xavier AGX and the Jetson AGX Orin.
- We used
cudaMemGetInfofrom CUDA to measure GPU RAM usage.
This is the hardware setup we used:
- On the Jetson Nano, we used Jetpack 4.5.3 and MAXN Power Mode (NVP model 0)
- On the Jetson Xavier NX, we used Jetpack 4.5.3 and 20W 6 Core Power Mode (NVP model 8)
- On the Jetson Xavier AGX, we used Jetpack 4.5.1 and 30W 8 Core Power Mode (NVP model 3)
- On the Jetson AGX Orin, we used Jetpack 5.0.2 and MAXN Power Mode (NVP model 0)
The following table summarizes CUDA ISP's performance results. The values in parenthesis next to each processing time is the corresponding theoretical framerate calculated as the inverse of the time.
| Platform | Jetson AGX Orin | Jetson Xavier AGX | Jetson Xavier NX | Jetson Nano | ||||
|---|---|---|---|---|---|---|---|---|
| Buffer size | 1080p | 4K | 1080p | 4K | 1080p | 4K | 1080p | 4K |
| Duration (ms) | ||||||||
| CudaShift | 1.52 | |||||||
| CudaDebayer | 1.30 | |||||||
| CudaWhiteBalancer (Gray World Algorithm) | ||||||||
| CudaWhiteBalancer (Histogram Stretch Algorithm) | ||||||||
| CudaColorSpaceConverter | ||||||||
| Framerate (fps) | ||||||||
| CudaShift | 660 | |||||||
| CudaDebayer | 771 | |||||||
| CudaWhiteBalancer (Gray World Algorithm) | ||||||||
| CudaWhiteBalancer (Histogram Stretch Algorithm) | ||||||||
| CudaColorSpaceConverter | ||||||||
| CPU usage (%) | ||||||||
| CudaShift | 0.077 | |||||||
| CudaDebayer | ||||||||
| CudaWhiteBalancer (Gray World Algorithm) | ||||||||
| CudaWhiteBalancer (Histogram Stretch Algorithm) | ||||||||
| CudaColorSpaceConverter | ||||||||
| CPU RAM (MB) | ||||||||
| CudaShift | 90.8 | |||||||
| CudaDebayer | ||||||||
| CudaWhiteBalancer (Gray World Algorithm) | ||||||||
| CudaWhiteBalancer (Histogram Stretch Algorithm) | ||||||||
| CudaColorSpaceConverter | ||||||||
| GPU usage (%) | ||||||||
| CudaShift | ||||||||
| CudaDebayer | ||||||||
| CudaWhiteBalancer (Gray World Algorithm) | ||||||||
| CudaWhiteBalancer (Histogram Stretch Algorithm) | ||||||||
| CudaColorSpaceConverter | ||||||||
| GPU RAM (MB) | ||||||||
| CudaShift | 28.4 | |||||||
| CudaDebayer | ||||||||
| CudaWhiteBalancer (Gray World Algorithm) | ||||||||
| CudaWhiteBalancer (Histogram Stretch Algorithm) | ||||||||
| CudaColorSpaceConverter | ||||||||
