Benchmark Nvidia Jetson Nano

Each jetson module was run with maximum performance.

Benchmark nvidia jetson nano. Get started quickly with the comprehensive nvidia jetpack sdk which includes accelerated libraries for deep learning computer vision graphics multimedia and more start prototyping using the jetson nano developer kit and take. This is a very early test performance will increase if i can. The inferencing used batch size 1 and fp16 precision employing nvidia s tensorrt accelerator library included with jetpack 4 2. Quad core 4gb ram and a gpu.

See here for the instructions to run these benchmarks on your jetson nano. Max n mode for jetson agx xavier. Nano vs tx1 vs tx2 vs agx xavier for these nvidia jetson modules we ve done performance benchmarking for the following standard image processing tasks which are specific for camera applications. The same image processing pipeline for 4k raw image on nvidia jetson nano could bring us the performance 30 fps.

The jetson nano is a small powerful computer designed to power entry level edge ai applications and devices. Nvidia jetson nano developer kit is a small powerful computer that lets you run. If we utilize h 264 encoding via hardware based solution instead of fastvideo jpeg or mjpeg on gpu we still get not more than 30 fps which is the maximum for h 264 encoder for 4k resolution but gpu occupancy in that case would be less. For 99 the jetson nano dev board gets you the following.

White balance demosaic debayer color correction resize jpeg encoding etc. The pi 3 takes a hair under 2000 ms for the benchmarks with the nano coming in around 970ms. On jetson xavier nx and jetson agx xavier both nvidia deep learning accelerator nvdla engines and the gpu were run simultaneously with int8 precision while on jetson nano and jetson tx2 the gpu was run with fp16 precision. The nvidia jetson nano.

Today we re going to have a good look at a new development kit from nvidia xavier nx and compare it to another dev kit from nvidia jetson nano the compute module xavier nx was announced on november 6 2019 but the development kit which includes the module and reference carrier board was announced just half a year later on may 14 2020. The all new nvidia jetson nano single board computer dev board can run the dolphin emulator. Jetson nano attains real time performance in many scenarios and is capable of processing multiple high definition video streams.