The only things AMD has turned down for Radeon VII are Instinct drivers (obviously), PCIe 4.0 support, and the external Infinity Fabric link. GPU: FP32 GFLOPS: FP64 GFLOPS: Ratio: GeForce RTX 3090: 35580: 556: FP64 1/64 FP32: GeForce RTX 3080: 29770: 465: FP64 1/64 FP32: Radeon RX 6900 XT. I compared the performance of the two GPUs using a sequence of complex-complex large 3d FFTs in ROCm. Although real world performance will vary, heres a partial list of GPUs and their Floating Point 32 (Single Precision), Floating Point 64 (Double Precision) GFLOPS numbers and their ratios. The non-Pro has a 1:2 multiplier for FP64, so these numbers make sense.
#Fp64 ratio pro
"FP64 is not among the couple of features they dialed back for the consumer card. The Pro is advertised to achieve 6.5 TFLOPs, whereas the non-Pro should have something between 27.5 GFLOPs according to wikipedia. This change targets the HPC and enterprise segment that highly. Double-precision theoretical peak value FP64 Cores GPU Boost Clock 2. That would make it the absolute best option. FP32:FP64 ratio - The Streaming Multiprocessor (SM) has been modified in order to provide a 2:1 ratio between FP32 and FP64 units. In the third-generation Kepler architecture, the ratio of FP64 units to FP32. Is there a way to improve that within a reasonable price? Is a used Tahiti actually the best option?ĮDIT: Ryan Smith for Anandtech says FP64 for the Radeon VII is exactly the same as in the MI50. What would be the card to get?Īn HD7970 GHz should have a throughput of ~1 TFlop, while R9 290X/390X, Furys and Vegas would be in the range of 0.5-0.8 TFlops.
Let's assume I want a GPU for pure computing, I need FP64 precision not matter what, and I don't have thousands of $ to spend. But times changed, there are a lot more different units with different ratios inside an SM and it means almost nothing what the 'CUDA core' count is. I've been checking the new Radeon VII, waiting for confirmation on the FP64 throughput, to see if they keep the 1/2 FP64 ratio of the MI50, but I don't have my hopes high. Joining those FP32 cores are 2688 FP64 CUDA cores (meaning NV is maintaining their 1:2 FP64 ratio), but also a new core that NVIDIA is calling the Tensor Core. There was a time when GPUs could only do FP32 and had little or not support for FP64 so they called those 'CUDA cores' or 'stream processors'.
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