AIXPRT includes support for the Intel OpenVINO, TensorFlow, and NVIDIA TensorRT toolkits to run image-classification and object-detection workloads with the ResNet-50 and SSD-MobileNet v1 networks, as well as a Wide and Deep recommender system workload with the Apache MXNet toolkit. The test reports FP32, FP16, and INT8 levels of precision. Test systems must be running Ubuntu 18.04 LTS or Windows 10, and the minimum CPU and GPU requirements vary by toolkit. You can find more detail on hardware and software requirements in the installation package's readme files.
The table below displays currently available AIXPRT test packages. To download the correct package, click the Download link in the row corresponding to the system configuration you wish to test. The Readme links in the table’s far right column will take you a public GitHub repository containing the readmes for each installation package.
|Operating system||Toolkit||Target hardware||Install package||DocumentationDocs|
|Windows 10||OpenVINO||CPUs, Intel processor graphics, VPUs||Download||Readme|
|Windows 10||TensorFlow||CPUs, GPUs, NVIDIA GPUs||Download||Readme|
|Windows 10||TensorRT||NVIDIA GPUs||Download||Readme|
|Ubuntu||OpenVINO||CPUs, Intel processor graphics, VPUs||Download||Readme|
|Ubuntu||TensorFlow||CPUs, GPUs, NVIDIA GPUs||Download||Readme|
The XPRT benchmarks are constantly evolving. Get the latest announcements about the XPRT family right here.
Principled Technologies brings its technical prowess to the XPRT family with these informative, fact-based white papers. Read them here.
We periodically hold Webinars to inform members about what's going on in the BenchmarkXPRT community. Visit our Webinars archive.