VRAY Benchmark & CPU + GPU Scores (Updated Results)

CG Director Author Alex Glawionby Alex Glawion   /  Updated 

Chaos Group’s V-Ray Benchmark is a widely used tool for benchmarking your Processor and your Graphics Card.

If you are thinking of building a Computer for 3D Modeling, would like to see what GPU performs best in V-Ray, or what CPU is best for your rendering needs, this benchmark is extremely helpful.

V-Ray 5 CPU Benchmark Results

Apart from the XEON Dual CPUs, these are all single CPU Results.

= AMD   |    = Intel

CPU Name# CoresGhzVRAY CPU Benchmark vsamples
AMD Threadripper 3990X642.973025
AMD Threadripper 2990WX323.027760
AMD Ryzen 9 5950X163.424733
Intel i9 10980XE182.622840
AMD Ryzen 9 3950X163.519077
AMD Ryzen 9 5900X123.718659
Intel i9 10940X143.115213
AMD Threadripper 2950X163.515996
Intel i9 10920X122.915100
AMD Threadripper 1950X163.415397
AMD Ryzen 9 3900X123.814706
AMD Ryzen 7 5800X83.812275
Intel i9 10900X103.311386
Intel i9 9900K83.611068
AMD Threadripper 1920X123.511039
AMD Ryzen 7 3800X83.99888
AMD Ryzen 7 3700X83.69829
AMD Ryzen 5 5600X63.79506
AMD Ryzen 7 2700X83.78904
Intel i7 8700K63.77965
Intel i7 8086K63.77756
AMD Ryzen 7 1800X83.67706
AMD Ryzen 7 1700X83.47472
AMD Ryzen 7 270083.27342
AMD Ryzen 7 170083.07234
AMD Threadripper 1900X83.86760
AMD Ryzen 5 2600X63.66056
AMD Ryzen 5 160063.25672
Intel i7 7700K44.25232
Intel i5 9600K63.74784
Intel i5 840062.84223
AMD Ryzen 5 1500X43.53486
AMD Ryzen 5 140043.22675
CPU Name# CoresGHzVRAY CPU Benchmark vsamples

V-Ray 5 GPU CUDA Benchmark Results

As we can deduct from the GPU Scores, scaling with multiple GPUs is not linear. Benchmarking time with 2x, 4x or 8x RTX 2080 TIs does not scale perfectly.

These Scores have been taken in combination with an Intel i9 10900K, except for the Multi-GPU Benchmarks.

GPU NameVRAM (GByte)V-Ray GPU CUDA vsamples
4x NVIDIA RTX 2080 Ti113314
NVIDIA RTX 3090 Ti242153
NVIDIA RTX 3090242091
NVIDIA RTX 3080 Ti122054
2x NVIDIA RTX 2080 Ti111902
NVIDIA RTX 3080101760
NVIDIA RTX 3070 Ti81510
NVIDIA RTX 307081409
NVIDIA RTX 3060 Ti81238
NVIDIA RTX 2080 Ti111004
NVIDIA RTX 306012873
NVIDIA RTX 2080 Super8855
NVIDIA RTX 20808821
NVIDIA RTX 2070 Super8775
NVIDIA GTX 1080 Ti11689
NVIDIA RTX 20708650
NVIDIA RTX 2060 Super8534
NVIDIA RTX 20606498
NVIDIA GTX 10808452
NVIDIA GTX 1660 Super6436
NVIDIA GTX 1660 Ti6418
NVIDIA GTX 16606387
GPU NameVRAM (GByte)V-Ray GPU CUDA vsamples

Download V-Ray Benchmark here

The V-Ray Benchmark is free to use and will put your Graphics Card and your Processor through a series of Rendering Tests.

Get the V-Ray 5.00.01 Benchmark Version we use in this article here: Download V-Ray 5.00.01 Benchmark

How to read these Scores

Many other Rendering Benchmarks, such as Octane Bench or Cinebench, assign a Score to the Benchmarking Result.

V-Ray, though, tells you the number of “vsamples” it was able to take within one minute. Of course, the higher the vsamples, the better.

Because GPU Rendering Performance relies so much on various factors such as PCIe-Lanes, CPU Clock Speed, and Number of Cores, it is important to note that all GPU Benchmarking times listed above were taken with an Intel i9 10900K CPU (Single-GPU Scores).

If you have a different CPU, it might very well be that your Benchmark Score Results are off by a few hundred samples or even more, depending on your setup.

For GPU Rendering, it’s better to get a high clocking CPU that doesn’t necessarily have many Cores to make your GPUs render at the maximum possible performance. Check our GPU Render Guide for an in-depth explanation of this.

CPU vs. GPU Rendering in V-Ray Benchmark

This question comes up frequently: CPU or GPU rendering? What is better?

Well, the answer depends on what you want to render. Here’s why:

The great thing about GPU Render Engines is that you get responsive or even Real-Time Feedback of your Scenes and can iterate and tweak your Settings much quicker and more often than when rendering on the CPU.

More iterations mean higher quality end-results.

Of course, this only works if you don’t need any kind of features that either don’t work well on the GPU or take a long to time to prepare, like huge displacements, Motion Blur, or Meshes that are so big, they or the Scene don’t fit into your VRAM.

If you have to swap to System RAM, things get slow.

There were times when GPU Render Engines were just not mature enough and lacked many of the features that CPU Render Engines offered.

But nowadays, this argument is fully valid anymore. GPU Render Engines such as V-Ray, Octane, Redshift, Furryball, and many others have reached the same level as CPU Render Engines and have even overtaken them in some cases.

V-Ray Benchmark Results: Interesting Findings

Multi GPU Setups don’t scale well in V-Ray. With 2 or 4 GPUs you’ll see lower performance per GPU than when running just a single GPU.

In V-Ray’s CPU benchmark you’ll have to make sure to use Benchmarking Scores and not Cores for selecting your new CPU for Rendering. Because individual Core Performance depends a lot on the CPU’s architecture and IPC, you’ll find CPUs that are much faster than others even though they have the same number of cores. There are even CPUs that score higher even though they have fewer cores.


What GPU & Computer are you buying and building?

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Alex Glawion

Hi, I’m Alex, a Freelance 3D Generalist, Motion Designer and Compositor.

I’ve built a multitude of Computers, Workstations and Renderfarms and love to optimize them as much as possible.

Feel free to comment and ask for suggestions on your PC-Build or 3D-related Problem, I’ll do my best to help out!


Also check out our Forum for feedback from our Expert Community.

Leave a Reply

  • DaveNZ

    No Apple M1/M2/M3 CPU benchmark scores? I see some scores on the Chaos site but am not sure if the benchmark is native as yet.

  • Raghu

    Why Intel Xeons are not included in the VRay CPU Benchmark?

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