Nvidia GeForce RTX 5090 and RTX 5090 D Benchmarked with Blender
Nvidia RTX 50-series GPUs appear on Blender’s Open Benchmarking database
Benchmark results for Nvidia’s GeForce RTX 5090 and RTX 5090D graphics cards have appeared on the Blender open benchmarking database (as uncovered by Videocardz).
These benchmarking results showcase how powerful Nvidia’s new GeForce flagship is under tough rendering workloads. Compared to Nvidia’s GeForce RTX 4090, their new RTX 5090 graphics card is 36% faster. That’s a solid result for Nvidia’s new flagship, especially when combined with the GPU’s huge 32GB frame buffer.
Considering these results, it would be interesting to see how Nvidia’s RTX 5090 and RTX 5090D compare in real-world gaming and productivity workloads. Will Nvidia’s new D-series GPU match its Western counterpart in games?
(Data from the Blender Open Benchmarking database)
Nvidia’s RTX 5090 is notably faster than Nvidia’s China-oriented RTX 5090D
Due to restrictions on AI chip exports, Nvidia cannot release their RTX 5090 GPU in China and other restricted markets. To avoid these restrictions, Nvidia has created a new GPU called the RTX 5090D, which features restrictions that will limit its usability for AI computing and similar tasks.
Based on the results below, Nvidia’s RTX 5090 is much faster than their RTX 5090D. However, it is worth noting that these two results were achieved on different versions of Blender’s benchmark. Using the same version of Blender, Nvidia’s RTX 5090D is 27.6% faster than an RTX 4090. Comparatively speaking, this places the GPU closer to Nvidia’s RTX 5090, but still below it.
(Nvidia’s RTX 5090D also makes an appearance)
Overall, Nvidia’s RTX 5090 is an excellent GPU for challenging rendering tasks. With speeds 36% faster than an RTX 4090 and 8GB of additional VRAM, the RTX 5090 should be incredibly popular for workstation users, especially when the next GPU down (the RTX 5080) has only 16GB of VRAM.
You can join the discussion on Nvidia’s RTX 5090 and RTX 5090 D on the OC3D Forums.


