Redshift Benchmark Results (Updated)

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CG Director Author Alex Glawionby Alex Glawion   /  Published 

Redshift benchmark results are not easy to find, which is why I compiled a list for everyone to take a look at. I myself use Redshift for tendering projects on a daily basis and recently purchased a new render node with lots of GPUs.

When you build a new PC or render node for rendering, there is no way around digging deep into benchmarks.

Cinebench Scores are great for comparing CPU Rendering performance, but if you use Redshift heavily, these benchmark results will be invaluable:

Note that new Redshift versions are coming out every couple of weeks, which might perform better or worse than the scores below.

Unless there are major feature updates, the relative performance between GPUs should stay roughly the same, though.

Redshift 3.5.24 Benchmark Results [RTX ON, HIP]

Please note, for Price / Value calculation we are using MSRP. Given the current market situation, many GPUs might not be available at MSRP.

GPU(s)VRAMTime (Minutes)PricePerf / $
1x Nvidia GTX 1080 Ti1108.56300
1x Nvidia RTX 30601205.38350
1x Nvidia RTX 2060 SUPER806.31350
1x Nvidia RTX 4060 Ti803.30399
1x Nvidia RTX 2070806.28400
1x Nvidia RTX 3060 Ti804.26450
1x Nvidia RTX 2070 SUPER806.12450
1x Nvidia RTX 30701003.57500
1x Nvidia RTX 40701202.23599
1x Nvidia RTX 3070 Ti803.27599
1x Nvidia RTX 4070 SUPER1202.12599
1x Nvidia RTX 2080806.01600
1x Nvidia RTX 2080 SUPER805.47650
1x Nvidia RTX 4070 Ti1202.08799
1x Nvidia RTX 4070 Ti SUPER1202.02799
1x Nvidia RTX 30801003.07850
1x AMD Radeon 7900 XT1603.32899
2x Nvidia RTX 2070 SUPER803.03900
1x Nvidia RTX 4080 SUPER1601.39999
1x AMD Radeon 7900 XTX2403.07999
1x AMD Radeon 6900 XT1604.17999
1x Nvidia RTX A40001604.401000
1x Nvidia RTX 40801601.471199
1x Nvidia RTX 3080 Ti1202.441199
2x Nvidia RTX 2080803.101200
1x Nvidia RTX 2080 Ti1104.271200
2x Nvidia RTX 2080 SUPER802.581300
1x Nvidia RTX 30902402.421499
1x Nvidia RTX 40902401.161599
4x Nvidia RTX 2070801.561600
4x Nvidia RTX 2070 SUPER801.421800
1x Nvidia RTX 3090 Ti2402.361999
1x Nvidia RTX A50002403.062300
4x Nvidia RTX 2080801.362400
2x Nvidia RTX 2080 Ti1102.182400
1x AMD Radeon Pro W78003204.262499
4x Nvidia RTX 2080 SUPER801.322600
1x Nvidia RTX Titan2404.162700
2x Nvidia RTX 30902401.153000
2x Nvidia RTX 40902400.473198
1x AMD Radeon Pro W79004803.213999
4x Nvidia RTX 2080 Ti1101.074800
1x Nvidia RTX A60004802.424800
4x Nvidia RTX 30902400.456000
6x Nvidia RTX 30902400.319000
8x Nvidia RTX 2080 Ti1100.499600
1x Nvidia RTX 6000 Ada4801.2810000
7x Nvidia RTX 40902400.1811193
8x Nvidia A1004000.3688000
GPU(s)VRAMTime (Minutes)PricePerf / $

Redshift 3.0.45 Metal Benchmark Results [AMD GPUs, MAC/Apple Silicon]

We are keeping these results separate from the Nvidia / CUDA Results for now, as Redshift Metal isn’t as mature as Redshift CUDA yet, and the benchmark runs were done on eGPUs and/or beta macOS versions. Take these scores with a grain of salt. They’ll stabilize and improve over time.

Do note that value is more difficult to calculate, as many of these GPUs are either a mobile GPU, built into an eGPU, or integrated into a CPU as an iGPU. We are using the cost of the entire system (the cheapest we can find with that particular GPU) here to calculate price / value.

Please note, for Price / Value calculation we are using MSRP. Given the current market situation, many GPUs might not be available at MSRP.

GPU(s)VRAMTime (Minutes)PricePerf / $
AMD Radeon Pro Vega 641612.01499
AMD Radeon RX 6800 XT1606.13649
AMD Radeon RX 6900 XT1605.26999
Apple M1 (Mac Mini)1038.251000
Apple M1537.211000
AMD Radeon Pro 5500M425.291000
Apple M1 Max (32 Core GPU)32 (unified)10.343300
Apple M1 Ultra (48 Core GPU)64 (unified)08.304000
Apple M1 Ultra (64 Core GPU)128 (unified)06.125600
2x AMD Radeon Pro Vega II3203.5811199
4x AMD Radeon Pro Vega II32/6402.2116799
GPU(s)VRAMTime (Minutes)PricePerf / $

Redshift 2.6.53 Benchmark Results

GPU(s)OSCPU ThreadsCPU GHzTime (Minutes)
8x RTX 2080Ti 11GBWindows322.101.29
8x GTX 1080Ti 11GBWindows322.101.57
4x GTX 1080Ti 11GBWindows322.103.25
8x RTX 2070 8GBWindows322.101.56
RTX 2070 8GBWindows322.112.50
8x GTX 1080 8GBWindows402.202.26
4x GTX 980 Ti 6GBWindows562.304.48
RTX 2080 Ti 11GBWindows362.608.38
RTX 2080 8GBWindows362.610.59
2x GTX 1060 6GBWindows322.611.07
Quadro K5200 8GBWindows242.638.50
GTX 1080 8GBMacOS82.916.00
4x GTX 1080Ti 11GBWindows362.3503.21
GTX 960 2GBWindows42.6844.56
8x Tesla V100-SXM2 16GBLinux642.7401.03
GTX 780 3GBWindows82.8131.05
Titan V 12GBLinux122.9007.06
2x GTX 1080 Ti 11GBWindows162.9906.15
2x RTX 2070 8GBWindows163.006.29
Quadro RTX 6000Windows203.108.47
2x TITAN Xp 12GBLinux163.206.16
2x GTX 1080 8GBWindows123.207.26
2x GTX 1070 Ti + 1x GTX 1070Windows123.206.12
1x GTX 1070 + 1x GTX 1070 TiMacOS123.308.17
GTX TITANX 12GBWindows323.317.33
GTX 1080 Ti 11 GBWindows123.411.44
GTX 780Ti 3GBWindows123.425.58
4x GTX 1070 8GBWindows123.504.15
2x Quadro GP100 16GB TCCWindows123.504.25
2x Quadro GP100 16GBWindows123.505.04
2x Quadro P6000 24GB TCCWindows123.505.55
2x Quadro P6000 24GBWindows123.506.28
Quadro GP100 16GB TCCWindows123.508.43
Quadro GP100 16GBWindows123.509.57
GTX TITANX Pascal 12GB TCCWindows123.510.54
Quadro P6000 24GB TCCWindows123.511.31
GTX TITANX Pascal 12GBWindows123.511.59
Quadro P6000 24GBWindows123.512.30
Quadro M6000 12GBLinux123.514.23
GTX TITANX 12GBMacOS123.514.25
Quadro M6000 24GB TCCWindows123.514.33
GTX TITANX 12GBWindows123.515.40
Quadro M6000 24GBWindows123.515.42
GTX 1070 8GBWindows123.517.11
GTX 980 4GBWindows123.523.21
GTX 970 4GBMacOS123.527.22
4x GTX 1080Ti 11GBWindows123.603.07
RTX 2070 8GBWindows63.611.35
RTX 2060 6GBWindows83.615.04
GTX 1060 6GBWindows83.623.11
GTX 1660Ti 6GBWindows83.624.53
RTX 2060 Super 8GBWindows163.612.17
RTX 2070 Super 8GBWindows163.611.17
RTX 2080 Super 8GBWindows163.610.15
4x RTX 2080Ti 11GBWindows163.802.28
2x RTX 2080Ti 11GBWindows163.804.28
GTX 1070 8GBLinux123.815.05
GTX TITAN X 12 GBLinux123.7814.07
2x GTX 1070 8GBLinux123.7907.39
2x GTX 1070 8GBWindows84.008.06
2x GTX 1080 Ti 11GBMacOS84.0006.30
4x GTX TITANX 12GBLinux124.103.36
4x GTX TITAN X 12 GBWindows164.304.28
2x GTX 980Ti 6GBWindows204.307.35
GPUOSCPU ThreadsCPU GHzTime

Some interesting findings are, that Different OS’s have an impact on rendering performance.

Linux, for example, seems to be doing somewhat better than Windows. These benchmarks are also great in analyzing what CPU is best for GPU Rendering in Redshift and how low the Clock Speed can go before major performance impact is inevitable.

Multi-GPU Scaling works quite well in Redshift, though with those 1-2 minute Results the benchmark probably is just too short to make good use of all that power.

You might find Benchmarking scores run on more recent Redshift Versions on the Redshift Forums, so head on over if you have an account and talk with all of the great Users.

If you are thinking about getting a new GPU Rendering Computer altogether, be sure to check out this article on what hardware to get for the best GPU Rendering Workstation.

I’ve also written an in-depth article on building your own Renderfarm, which might very well be something you should be doing for faster Redshift Rendering.

If new hardware is not in your budget right now, check out our Guide on how to Render Faster, which could cut your rendertimes in half with just some minor time investment on your end.

 

Missing any GPU Benchmark Results or having trouble with one of your builds? Let me know in the comments.

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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!

198 Comments

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  • Jorge

    Hola y en que tiempo lo haran 2 tarjetas 3080, 2 tarjetas 3070 y 2 tarjetas 3060

  • Jorge

    Hi, could you update Pliz?

    • Alex Glawion

      Added the 40xx SUPER Series GPUs!

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