UL Procyon AI:
We couldn’t do without adding an AI benchmark. Although we also carried out tests with Geekbench AI, we decided not to publish the tests, as we had very different results between our different runs. However, we did receive a licence for Procyon AI Computer Vision, so we did carry out this series of tests. We’ll be coming back to the various aspects of the tests in detail from time to time.
In this benchmark, common computer vision tasks are performed using a range of popular and state-of-the-art neural networks. Measure the performance of the AI accelerator by comparing it to the same operations performed with either your processor or your graphics card. This benchmark will also be added to our upcoming graphics card tests.
Procyon AI Computer Vision :
We have carried out the Float32 test, which is the most widely used, but we will also be adding the other two tests shortly.
Once again, we’re neck and neck for first place, with the Ryzen 9000s doing very well.