NVIDIA Quadro RTX 8000 NVLINK 3DMark Suite Testing
Here we will run the NVIDIA Quadro RTX 8000 NVLINK through graphics-related benchmarks.
As we have seen in the past, the Quadro line does not compete well with GeForce graphics cards in 3DMark benchmarks, the NVIDIA RTX 2080 Ti often performs better in these tests.
Port Royal is the exception. Titan RTX and Quadro RTX 8000 configurations clearly are the best performers next to going to NVLINK setups.
Here are the 3DMark suite results. We will discuss them after the charts.
It’s clear to see that single RTX 2000’s series graphics cards have the price-performance edge in these tests. The one test that matters is Port Royal, which gains a significant advantage using NVLINK, which is useful for VR related applications.
NVIDIA Quadro RTX 8000 NVLINK Unigine Testing
The NVIDIA RTX 2080 Ti and Titan RTX often perform better in these benchmarks, which have a hard time taking advantage of the Quadro line on GPU’s and struggle with NVLINK or SLI performance.
Next, we are going to look at the NVIDIA Quadro RTX 8000 NVLINK with several Deep Learning benchmarks.
Why is the Radeon VII not in the comparison, William? It would be competitive in some tests.
Emerth – we do not have one to test and they are discontinued. As a result, it is a low priority. We may look at the Radeon Pro version, but that just started shipping.
Can it run fortnite at 60 fps though?
I would really love to see some testing with this card for VGPUs in VMWare š
@Jeremy likely it can simulate running Fortnite at 60FPS.
About AIDA64 GPGPU Part1 graph of Page 3, My Titan Black’ Double-Precision FLOPS value is 1842 when āDouble precisionā is enabled on NVIDIA control panel ā Manager 3D settings. Default is disabled! when disabled, the score plummets to 256.7 GFLOPS and it matches the graph value.
It is better to show the better score, their double precision circuit is fully utilized IMO
OctaneRender 4 does not take advantage from quadro or Titan cards, rtx 2080ti result should be comparable to rtx 8000, SLI should just halve the time.
https://render.otoy.com/octanebench/results.php?v=4.00&sort_by=avg&filter=&singleGPU=1
I guess something went wrong.
yamamoto wrote: About AIDA64 GPGPU Part1 graph of Page 3, My Titan Blackā Double-Precision FLOPS value is 1842 when āDouble precisionā is enabled on NVIDIA control panel.
This is a very important point.
When reading through the review I was about to ignore this card as yet another AI GPU unsuited for doing science. Now your comment has me wondering which other cards treated here suffered a similar methodological problem with double precision arithmetic.
@Eric
Maybe other Kepler GPUs such as GTX Titan or Quadro K6000 are affected
I have a Titan V, there is no āDouble Precisionā menu item on NVIDIA Control Panel on this GPU and its AIDA64 Double-Precision score is 6283 GFLOPS. It is cost effective solution for some scientific calculation IMO.
Can this gpu beat the titan v in case of gaming and editing .