![]() From modern ones Intel ARC is interesting, but I haven't checked it myself yet (UPD it looks like there is no native support of FP64 in ARCs, removing). Best performance per dollar is of Titan (Black) and 7990/7970/280x. Anyone who would disagree is just a shill.Īlmost exhaustive list up to 0.5 TFLOPS. Pure greed and crap engineering by the NVidia people who know they can shaft you if you want to do complex math ( like add and subtract ) with circa 1988 math in FP64 bits. Even worse you need a special license and driver to use a GV100 if you own one and NVidia jams you again. That is why the Keplar worked great and then the FP64 was taken away and hidden. The gamers don't give a damn because they just want pixels on the screen but anyone doing real work gets jammed hard for maximum dollars. As soon as NVidia figured out they could jam people for big money the FP64 capability suddenly went away and everything after the Keplar was sold as brain damaged. ![]() Everyone on the planet can do addition and subtraction and other operations with 64 bit floating point and it has been that way for well over 25 years. Im referring to lack of good fp64 performance. So the ability to do IEEE754 math like the year 2008 and the original 1988 specification was removed. The last disappointment is really not an issue with the RTX Titan, its just part of the design of Turing GPUs. Don't try and blame me if you break something when acting upon my advice.NVidia figured out that scientists and engineers can be jammed for massive dollars and thus the NVidia folks simply de-tuned and killed the FP64 capability on everything they sold EXCEPT for stuff that they can sell for $10,000 and up. Ti | Fractal Design Core 1500 | Corsair CX450MĬore i5-4590 | Intel Stock Cooler | Gigabyte GA-H97N-WIFI | HyperX Savage 2x4GB DDR3 | Seagate 500GB | Intel Integrated HD Graphics | Fractal Design Arc Mini R2 | be quiet! Pure Power L8 350W quality 7.1) | VRMark 7,004 (VR Ready)Ĭore i3-6100 | CM Hyper 212 EVO | MSI H110M ECO | Corsair Vengeance LPX 1x8GB DDR4 | ADATA SP550 120GB | Seagate 500GB | EVGA ACX 2. Project White Lightning (My ITX Gaming PC): Core i5-4690K | CRYORIG H5 Ultimate | ASUS Maximus VII Impact | HyperX Savage 2x8GB DDR3 | Samsung 850 EVO 250GB | WD Black 1TB | Sapphire RX 480 8GB NITRO+ OC | Phanteks Enthoo EVOLV ITX | Corsair AX760 | LG 29UM67 | CM Storm Quickfire Ultimate | Logitech G502 Proteus Spectrum | HyperX Cloud II | Logitech Z333īenchmark Results: 3DMark Firestrike: 10,528 | SteamVR VR Ready (avg. While the Pascal GTX Titan X will offer best in class gaming performance when it launches, it will still come in at an eye-watering price of $1200 and leave the budget FP64 compute crowd without the "old style" Titan of their dreams. Now Nvidia has confirmed that the Pascal GTX Titan X will not feature increased FP64 and FP16 rates over GP104, making the Titan X an Ultra-powerful Gaming GPU and nothing more. With the release of the Maxwell Titan X that changed, with the Titan X having the same Double precision compute scaling/ rates as their GTX Gaming counterparts, taking away the attractive budget compute properties of the Original GTX Titan. The original GTX Titan GPU had a unique characteristic that made it popular for more than just gaming, it had support for Double Precision, FP64, compute, allowing people to access some huge amounts of compute performance at a price that is much lower than Nvidia's Tesla or Quadro GPUs. Specifications: Cache memory, 3 MB Pixel fillrate, 151.9 GPixel/s Texture fillrate, 379.7 GTexel/s Performance FP16 (half), 189.8 GFLOPS Performance FP32 (. Judge a product on its own merits AND the company that made it. So it is FP64 performance is 32x slower than FP32 performance. With Pascal GP102, GP104 and GP106 the fraction is 1/32. ![]() Compared to the Titan Xp, which didn’t offer fast FP64 or FP16 modes, the. FP64 is always a fraction of FP32 performance. Nvidia Pascal Titan X will not feature faster FP64 or FP16 performance The official FP64 and FP16 rates for Titan V are 1:2 and 2:1 FP32 respectively, and this is what we find on GEMM.
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