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Let's get a comprehensive list of CUDA card estimated performance (by BOINC) to help other's that may be considering an upgrade, or would like to know how their cards stacks up against others.
All cards are PCIe unless otherwise stated.
Here are my own personal cards that I have tested:
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CUDA device: Quadro NVS 290 (driver version 18585, compute capability 1.1, 256MB, est. 5GFLOPS)
CUDA device: GeForce 8500 GT (driver version 18585, compute capability 1.1, 512MB, est. 6GFLOPS)
CUDA device: GeForce 9600 GSO (driver version 18585, CUDA version 1.1, 384MB, est. 48GFLOPS) Stock 384MB DDR3
CUDA device: GeForce 9600 GSO (driver version 18585, CUDA version 1.1, 384MB, est. 62GFLOPS) OC'd 384MB DDR3
CUDA device: GeForce 9600 GSO (driver version 18585, CUDA version 1.1, 768MB, est. 46GFLOPS) Stock 768MB DDR2
CUDA device: GeForce 9600 GSO (driver version 18585, CUDA version 1.1, 768MB, est. 53GFLOPS) OC'd 768MB DDR2
CUDA device: GeForce GTX 260 (driver version 18618, compute capability 1.3, 896MB, est. 100GFLOPS) Stock GTX 260
CUDA device: GeForce GTX 260 (driver version 18618, compute capability 1.3, 896MB, est. 119GFLOPS) OC'd GTX 260 700mhz/1100/1537
CUDA device: GeForce GTX 260 (driver version 18618, compute capability 1.3, 896MB, est. 123GFLOPS) OC'd GTX 260 725mhz/1100/1592
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Here are 'samples' that I have collected from previous threads by users OTHER than myself:
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CUDA device: GeForce 8400 GS (driver version 18585, compute capability 1.1, 256MB, est. 4GFLOPS) <-PCI
CUDA device: GeForce 8400 GS (driver version 18585, compute capability 1.1, 256MB, est. 5GFLOPS) <-PCIe
CUDA device: GeForce 8600M GS (driver version 18585, compute capability 1.1, 512MB, est. 6GFLOPS)
CUDA device: GeForce 8600 GT (driver version 18585, compute capability 1.1, 256MB, est. 14GFLOPS)
CUDA device: GeForce 9600 GT (driver version 18585, compute capability 1.1, 512MB, est. 34GFLOPS)
CUDA device: GeForce 9600 GT (driver version 18208, CUDA version 1.1, 512MB, est. 37GFLOPS)
CUDA device: GeForce 9800 GT (driver version 18585, compute capability 1.1, 1024MB, est. 60GFLOPS)
CUDA device: GeForce 9800 GX2 (driver version 18250, CUDA version 1.1, 512MB, est. 83GFLOPS)
CUDA device: GeForce 9800 GTX+ (driver version 18585, compute capability 1.1, 512MB, est. 84GFLOPS)
CUDA device: GeForce GTX 260 (driver version 18585, compute capability 1.3, 896MB, est. 100GFLOPS)
CUDA device: GeForce GTX 295 (driver version 18585, compute capability 1.3, 896MB, est. 106GFLOPS)
CUDA device: GeForce GTX 295 (driver version 18585, compute capability 1.3, 896MB, est. 106GFLOPS)
CUDA device: GeForce GTX 275 (driver version 18585, compute capability 1.3, 896MB, est. 123GFLOPS)
CUDA device: GeForce GTX 285 (driver version 18171, CUDA version 1.3, 1024MB, est. 127GFLOPS)
CUDA device: GeForce GTX 280 (driver version 18585, compute capability 1.3, 1024MB, est. 130GFLOPS)
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Please add your info if you are able to fill in any of the cards that I have missed.
Simply Copy/Paste your BOINC startup message info as shown in the examples above.
Feel free to add aother info such as Overclocking Speeds if applicable as well as the BUS that the card resides on (PCI/PCIe/AGP/IGP ?).
Thanks.
Allan
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I am TCP JESUS...The Carpenter Phenom Jesus....and HAMMERING is what I do best!
formerly known as...MC Hammer. |
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09-Jul-2009 23:00:55 [---] CUDA device: GeForce GTX 260 (driver version 18624, compute capability 1.3, 896MB, est. 108GFLOPS)
I can say on fast WU its up to 163GFLOPS, I set mine to an average of 135.5GFLOPS # in the app_info so DCF stays near ~1.0
# I.e. 163 - 108 / 2 + 108 = 135.5 or 163 + 108 / 2 = 135.5 ;)
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CUDA device: GeForce 9500 GT (driver version 18585, compute capability 1.1, 512MB, est. 16GFLOPS)
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Claggy Volunteer tester
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Joined: 5 Jul 99
Posts: 3370
Credit: 25,958,316
RAC: 1,634
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NVIDIA GPU 0: GeForce 9800 GTX/9800 GTX+ (driver version 18618, compute capability 1.1, 512MB, est. 87GFLOPS)
Claggy |
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Look here..
SETI@home - Questions & answers : CUDA : 'GPU GFLOPS - Message 910257' ------
------> gpugrid.net - Forum : Nvidia graphics cards (GPU) : 'Boinc GPU Card comparisons in GFLOPS'
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>Das Deutsche Cafe. The German Cafe.<
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Here we go
CUDA device: GeForce 8800 GT (driver version 18585, compute capability 1.1, 512MB, est. 63GFLOPS)
Details
BOINC version: 6.6.31
Card vendor: BFG Tech
Card Model: GeForce 8800GT OC
Bus: PCIe
RAM: DDR3
Clocks (Factory values, pulled with RivaTuner)
Core: 625
Shader: 1566
Memory: 900
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The Poopsmith speaketh |
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geforce 9600gt 1024 ddr2 pcie stock 12gflops o/c 26gflops (double the speed!)
geforce 9800 gtx+ 512 ddr3 pcie (same as a geforce 250) stock 84gflops o/c 125gflops.
overclocking the geforce gpu, shader and memory has huge increases in speed. i doubled the performance of my 9500gt by overclocking it with evga precision programme. the gtx+ also got a huge gain by o/c |
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 MarkJVolunteer tester
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Joined: 17 Feb 08
Posts: 912
Credit: 14,604,053
RAC: 11,138
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This was covered a while ago over at GPUgrid. For those that don't frequent that project here is a subset of the list. If you'd like to see the full message you can follow this link.
MarkJ
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 ;)
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BOINC blog |
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CUDA device: GeForce 9300M GS (driver version 18618, compute capability 1.1, 512MB, est. 4GFLOPS)[Acer Aspire 4935G Laptop]
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Here are mine:
10/07/2009 00:26:14 NVIDIA GPU 0: GeForce 9600 GT (driver version 18618, compute capability 1.1, 512MB, est. 42GFLOPS)
OC Clock 720Mhz Mem 900Mhz Shader 1850Mhz
from 650MHZ 900Mhz 1625Mhz
Values from GPU-Z
Vista 64 Bit
4G Ram
OC Q6600 3,74Ghz (stock 2,4G)
Boinc 6.6.37 |
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CUDA device: GeForce GTS 250 (driver version 18618, compute capability 1.1, 1024MB, est. 84GFLOPS)
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NVIDIA GPU 0: GeForce 8800 Ultra (driver version 18618, compute capability 1.0, 768MB, est. 69GFLOPS)
[~14min per standard WU]
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10/07/2009 09:49:23 CUDA device: GeForce 8400 GS (driver version 18585, compute capability 1.1, 256MB, est. 8GFLOPS)
PCIe
:)
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SETI@Home Informational message -9 result_overflow
with a general handicap of 80% and it makes much d' efforts for the community and s' expimer, thank you d' to be understanding. |
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A more than 2 years old horse:
10/07/2009 11:42:26 CUDA device: GeForce 8800 GTS (driver version 18618, compute capability 1.0, 640MB, est. 41GFLOPS)
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10/07/2009 8:37:23 PM CUDA device: GeForce 8500 GT (driver version 18585, compute capability 1.1, 512MB, est. 9GFLOPS)
Only got the one Cuda system
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This was covered a while ago over at GPUgrid. For those that don't frequent that project here is a subset of the list. If you'd like to see the full message you can follow this link.
MarkJ
...
I posted the same URL.. ~ 01:50 [h:m] earlier.. ;-D
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>Das Deutsche Cafe. The German Cafe.< |
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7/9/2009 11:56:37 PM CUDA device: GeForce GTX 260 (driver version 18618, compute capability 1.3, 896MB, est. 104GFLOPS)
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7/10/2009 7:48:43 AM CUDA device: GeForce 9600 GSO (driver version 18618, compute capability 1.1, 768MB, est. 57GFLOPS) Vista 64bit
7/10/2009 7:53:43 AM CUDA device: GeForce 9600 GSO (driver version 18618, compute capability 1.1, 767MB, est. 52GFLOPS) XP 32bit
About a 20% OC on both cards
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http://www.novascotia.com |
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Here's another. This is the Super Clocked version of the evga 9800gt
CUDA devices: GeForce 9800 GT (driver version 18585, CUDA version 1.1, 512MB, est. 65GFLOPS)
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Here's another. This is the Super Clocked version of the evga 9800gt
CUDA devices: GeForce 9800 GT (driver version 18585, CUDA version 1.1, 512MB, est. 65GFLOPS)
I have the same Card. Mine came with a program called "EVGA Precision" that lets you overclock it even more. Mine was at 65GFLOPS originally. It's up to 73GFLOPS and stable. I tried pushing it up to 75 but CUDA units started to error. |
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