![]() ![]() ![]() Firstly, earlier OpenCL benchmark numbers for a 512 EU Alchemist part were much lower, at around 34K. These numbers are interesting for two reasons. The purported Arc Alchemist card ran at just 1329 MHz, and scored up to 69920 across four OpenCL benchmark runs. The card, described alternately as "OpenCL HD Graphics" and "Intel Xe Graphics" features 512 Execution Units (EUs), in line with earlier Alchemist performance leaks. RyanSmithAT: The fact that NVIDIA never offered a Founders Edition RTX 4070 Ti still flummoxes me.Recently spotted OpenCL benchmark listings for what appears to be an Intel Arc Alchemist GPU undergoing performance testing.Still, it's a shame, since virtually all of the available third party RTX 407… RyanSmithAT: That much is definitely true.RyanSmithAT: SK hynix didn't go into this in their press release, but their 12-Hi HBM3 stacks are using a new fill material call….There's a post penned by SK hynix at EETimes which… RyanSmithAT: Yeah, liquid EMC was not the most detailed disclosure.gavbon86: He's had more beak than a pelican hunter.gavbon86: They had a quiet lul with no posts.gavbon86: There's nothing worse than cleaning a child's sick up off of everything! The stuff gets everywhere like an explosion.The flip side is that it’s going to be a while until we fully understand why certain workloads seem to benefit more from Volta than other workloads. Suffice it to say that this puts the Titan V in a great light, and conversely makes one wonder how the Titan Xp was (apparently) so inefficient. But then the Level Set Segmentation benchmark is practically tied with the Titan Xp. The Titan V shows a massive performance improvement in both N-Body simulations and Optical Flow, once again leading to the Titan V punching well above its weight. It’s interesting how the results here are all over the place. ![]() CompuBench offers a wide array of different practical compute workloads, and we’ve decided to focus on level set segmentation, optical flow modeling, and N-Body physics simulations. Our final set of compute benchmarks is another member of our standard compute benchmark suite: CompuBench 2.0, the latest iteration of Kishonti's GPU compute benchmark suite. But it goes to show that Titan V isn’t going to be an immediate win everywhere for existing software. The scores are close enough that this is within the usual 3% margin of error, which is to say that it’s a wash overall. In this case the Titan V actually loses to the Titan Xp ever so slightly. And more specifically that existing software and possibly even NVIDIA’s drivers aren’t well-tuned to take advantage of the Volta architecture just yet. FAHBench can test both single precision and double precision floating point performance, giving us a good opportunity to let Titan V flex its FP64 muscles.Ī CUDA-backed benchmark, this is the first sign that Titan V’s performance lead over the Titan Xp won’t be consistent. Folding Home is the popular Stanford-backed research and distributed computing initiative that has work distributed to millions of volunteer computers over the internet, each of which is responsible for a tiny slice of a protein folding simulation. Up next we have the official Folding Home benchmark. I am honestly not convinced that this isn’t a driver or benchmark bug of some sort, but it may very well be that Primate Labs has hit on a specific workload or scenario that sees some rather extreme benefits from the Volta architecture. However it’s one test in particular that stands out here, and is likely responsible for the huge jump in the overall score, and that’s the Gaussian Blur, where the Titan V is 9x (!) faster than the Titan Xp. Looking at the subscores, the Titan V handily outperforms the Titan Xp on all of the subtests. What it does show us, at any rate, is that the Titan V is well ahead of the Titan Xp here, more than doubling the latter’s score. But as we haven’t used this benchmark in great depth before, I’m hesitant to read too much into it. We’re not the only site to run Geekbench 4, and I’ve seen other sites with much different scores. This isn’t normally a test we turn to for GPUs, but for the Titan V launch it offers us another perspective on performance. In the most recent version of its cross-platform Geekbench benchmark suite, Primate Labs added CUDA and OpenCL GPU benchmarks. ![]()
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