Performance comparison: Jetson TX2 vs 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 on GPU for camera applications. And this SDK is compatible with full line of Jetson hardwdare.
Hardware comparison: Jetson TX2 vs AGX Xavier
Jetson AGX Xavier is the most powerful system in comparison with previous Jetson modules. It delivers the capability of a desktop GPU workstation in an embedded module under 30W. It has NVIDIA Volta GPU with Tensor Cores, two NVDLA engines and an 8-core 64-bit ARM CPU.
Jetson TX2 is a fast, power-efficient AI computing device, built around an NVIDIA Pascal GPU and loaded with 8 GB of memory with 58.4 GB/s memory bandwidth.
Jetson TX2i is a hardware module for industrial environments. The rugged design, small form factor and power envelope make the Jetson TX2i module ideal for high performance devices such as robots, machine vision and industrial cameras, portable medical equipment, etc.
Jetson TX2 4GB will allow developers to run neural networks with double the compute performance or double the power efficiency of Jetson TX1 at the same price.
How we've done Jetson TX2 vs Xavier performance comparison
We've done time measurements for most frequently used image processing algorithms on GPU 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 acceleration with Jetson AGX Xavier.
We've utilized the same images and the same parameters for comparison. Performance boost at AGX Xavier 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 see that performance speedup is in the range of 1.7 - 3 for imaging applications on Jetson Xavier. This is impressive boost for practitioners. Quite often the results of raw image processing go further as the input for AI or DL applications, which have also been significantly accelerated by new Volta hardware cores on Jetson AGX Xavier. According to NVIDIA's measurements for AI applications, Jetson AGX Xavier has 20x performance acceleration in comparison with Jetson TX2.
If you are interested to get detailed benchmarks for image processing on NVIDIA Jetson TX2 and AGX Xavier, or you would be interested to get Fastvideo SDK for evaluation, please fill Contact Form below and send us your letter.
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