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. To start off our AI tests I ran 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 RTX 5080 Vanguard SOC improved compared to the RTX 5080 Founders Edition here in all three of the results. Overall though it was a .8% improvement when all of the results were combined.

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 RTX 5080 Vanguard SOC is once again out in front of the RTX 5080 Founders Edition and behind the RTX 4090 by a big margin. Overall the overclock helped gain a .9% improvement, not nearly as much as we have seen in all of the game benchmarks.

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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 RTX 5080 Vanguard SOC edged out in front of the RTX 5080 Founders Edition once again here with just a small lead. The two cards sit with the 4090 way out in front and ahead of the RTX 4080 SUPER.

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