Compute 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. So it is also important to check out the compute performance on all of the video cards that come in. That includes doing a few different tests. My first test was a simple GPU Compute benchmark using PassMark's Performance Test 10 and the RTX 4060 Twin Edge OC White Edition beat the Dual by 49 points and both cards are out in front of the RX 7600.

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. Both 4060s are ahead of the 3060 Ti here and even ahead of the 7900 XTX which shows just how much faster Nvidia performance is in Blender with Optix. The RTX 4060 Twin Edge OC White Edition is also in front of the Dual RTX 4060 with better scores in two of the three tests.

For CUDA-based cards, I also check out OctaneRender performance using their OctaneBench 2060.1 benchmark which allows me to check out both RTX and non-RTX rendering performance. Here the RTX 4060 Twin Edge OC White Edition does outperform the Asus Dual RTX 4060 in both RTX and non-RTX tests. In OctaneRender they are still behind the RTX 3060 Ti but a lot closer and well ahead of the RTX 3060.

An additional CUDA-based test I also ran V-Ray Benchmark 5 to check out CUDA and RTX performance in the 3D rendering and simulation software. The RTX 4060 Twin Edge OC White Edition came in ahead of the Dual for the CUDA test and tied with it on the RTX test. Interestingly though when you compare it with the 3060 Ti, it came in well behind it and the 3070 on the CUDA test but ahead of both in the RTX test showing the improvements that the 4000 Series cards have made in performance for the tensor and RT cores.