Compute and AI Benchmarks
Now some people don’t need a video card for gaming, they need the processing power for rendering or 2D/3D production, or in some cases, people who game also do work on the side. AI performance importance has increased quickly recently as well. So it is also important to check out the compute and AI performance on all of the video cards that come in. That includes doing a few different tests. My first test was Geekbench AI, a cross-platform AI benchmark that uses real world machine learning tasks giving three results, a full precision score, half precision score, and quantized score. The PNY RTX 5060 Ti Overclocked Dual Fan is sitting in the middle of the pack here just ahead of the RTX 4070 Ti and below the RTX 4070 SUPER.
Blender is always my favorite compute benchmark because the open-source 3D rendering software is very popular and it isn’t a synthetic benchmark. With the latest version of Blender, they redid the benchmark so we now have a new test that runs three different renderings and gives each a score. I have all three stacked together so we can see the overall performance. The PNY RTX 5060 Ti Overclocked Dual Fan is again right smake dab in the middle of the chart. This time sitting ahead of the RX 7900 XTX and below the RTX 3080 FE. On these, however, it isn’t that far ahead of the older RTX 4060 Ti 16GB with that sitting just two below it.
For CUDA-based cards, I also check out V-Ray Benchmark 5 to check out CUDA and RTX performance in the 3D rendering and simulation software. The PNY RTX 5060 Ti Overclocked Dual Fan is in the bottom half of the chart here sitting below the RTX 3080 and ahead of the RTX 3070 Ti FE. The 4060 Ti is just two below it though there is still a good gap between their scores.
