Jetson TX2 and AGX Xavier performance comparison
Performance comparison for Jetson TX2 and AGX Xavier
Imaging applications benefit from the latest NVIDIA mobile GPUs: Jetson TX2 and AGX Xavier. Nevertheless, general benchmarks can’t answer the question about performance comparison for the latest NVIDIA Jetson hardware. Anyway, this is very practical issue for many imaging applications, including aerial imaging, UAV, robotics, self-driving cars, etc. To provide you with real numbers, we’ve done comparative studies with Fastvideo SDK, which has lots of image processing modules for camera applications. and this SDK is compatible with full line of Jetson hardwdare.
How we’ve done Jetson TX2 vs Xavier performance comparison
We’ve done time measurements for most frequently used image processing algorithms like demosaic, resize, denoise, jpeg encoder and decoder, jpeg 2000 codec, etc. This is just a small part of Fastvideo SDK modules, though they could be valuable to understand the performance speedup with Jetson AGX Xavier.
We’ve utilized the same images and the same parameters for comparison. Xavier boost is very important issue, because in many cases of camera applications we could switch from offline to realtime mode of operation. This is also viable for multiple camera systems on Jetson Xavier.
We can conclude that performance speedup is in the range of 1.7–3 for imaging applications on Jetson. This is impressive boost for practitioners. Quite often the results of raw image processing go further as the input for AI applications, which have also been significantly boosted by new Volta hardware cores on Jetson AGX Xavier.
Original article see here: https://www.fastcompression.com/blog/xavier-vs-tx2.htm
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