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http://www.gpugrid.net/forum_thread.php?id=1150
Message 10607 - Posted 16 Jun 2009 16:11:44 UTC
Last modified: 16 Jun 2009 16:15:39 UTC
For those interested in buying a CUDA card or adding one to a GPU project, I collected some reported Boinc GPU ratings, added some I tested and create a Boinc GFLOPS performance list.
Note. These are hopefully ALL Native scores only!
CUDA card list with Boinc ratings in GFLOPS
The following are mostly compute capability 1.1:
GeForce 8400 GS PCI 256MB, est. 4GFLOPS
GeForce 8400 GS PCIe 256MB, est. 5GFLOPS
GeForce 8500 GT 512MB, est. 5GFLOPS
Quadro NVS 290 256MB, est. 5GFLOPS
GeForce 8600M GS 256MB, est. 5GFLOPS
GeForce 8600M GS 512MB, est. 6GFLOPS
Geforce 8500 GT, 512MB PCIe, 6GFLOPS
GeForce 9600M GT 512MB, est. 14GFLOPS
GeForce 8600 GT 256MB, est. 14GFLOPS
GeForce 8600 GT 512MB, est. 15GFLOPS
GeForce 9500 GT 512MB, est. 15GFLOPS
GeForce 8600 GTS 256MB, est. 18GFLOPS
GeForce 9600 GT 512MB, est. 34GFLOPS
GeForce 9600 GT 512MB, est. 37GFLOPS
GeForce 8800 GTS, 640MB, est. 41GFLOPS [compute capability 1.0]
Geforce 9600 GSO, 768MB (DDR2) 46GFLOPS
Geforce 9600 GSO, 384MB (DDR3) 48GFLOPS
GeForce 8800 GT 512MB, est. 60GFLOPS
GeForce 8800 GTX 768MB, est. 62GFLOPS [compute capability 1.0,] (OC)?
GeForce 9800 GT 1024MB, est. 60GFLOPS
GeForce 9800 GX2 512MB, est. 69GFLOPS
GeForce 8800 GTS 512MB, est. 77GFLOPS
GeForce 9800 GTX 512MB, est. 77GFLOPS
GeForce 9800 GTX+ 512MB, est. 84GFLOPS
GeForce GTX 250 1024MB, est. 84GFLOPS
Compute capability 1.3:
GeForce GTX 260 896MB (192sp), est. 85GFLOPS
Tesla C1060 1024MB, est. 93GFLOPS (only)?
GeForce GTX 260 896MB, est. 100GFLOPS
GeForce GTX 260 896MB, est. 104GFLOPS (OC)?
GeForce GTX 260 896MB, est. 111GFLOPS (OC)?
GeForce GTX 275 896MB, est. 123GFLOPS
GeForce GTX 285 1024MB, est. 127GFLOPS
GeForce GTX 280 1024MB, est. 130GFLOPS
GeForce GTX 295 896MB, est. 106GFLOPS (X2=212)?
You should also note the following if you’re buying a new card or thinking about attaching it to a CUDA project:
Different cards have different numbers of shaders (the more the better)!
Different speeds of shader and RAM will effect performance (these are sometimes factory over clocked and different manufacturers using the same GPU chipset and speed can tweak out slightly different performances)!
Some older cards use DDR2 while newer cards predominately use DDR3 (DDR3 is about 20% to 50% faster but varies, faster is better)!
The amount of RAM (typically 256MB, 384MB, 512MB, 768MB, 896MB and 1GB) will significantly affect performance (more is better)!
Some older cards may be PCI, Not PCI-E (PCI-E is faster)!
Mismatched pairs of PCIE cards will likely underperform.
If you overclock your Graphics card, you will probably get more performance, but you might get more errors and you will reduce the life expectancy of the card, motherboard and PSU - you probably know this already ;)
If you have a slower card (say under 10GFLOPS) don’t attach it to the GPU-Grid; you are unlikely to finish any tasks in time, so you will not produce any results or get any points. You may wish to attach to another project that uses a longer return deadline (Aqua-GPU for example). With a 20GFLOPS card most tasks will probably timeout. Even with a 9600 GT (about 35GFLOPS) your computer would need to be on most of the time to get a good success/failure ratio.
Please post your NATIVELY CLOCKED Boinc GFLOPS Ratings here, or any errors, to create a more complete list.
You can find them here; Open Boinc (Advanced View), select the Messages Tab, about the 12th line down it will say CUDA Device... or No CUDA devices found. Include Card Name, Compute Capability (1.0, 1.1 or 1.3 for example), RAM and est. GFLOPS. Even if it is already on the list, it will confirm the ratings, and help other people decide what graphics card they want to get.
PS. If you want more details about an NVIDIA card look here, http://en.wikipedia.org/wiki/Com ... cs_Processing_Units
Thanks, |
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发表于 2009-12-15 02:27:27
