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Finally, the GTX 980 arrived. Some really nice changes come with it.
More details here:
Let the numbers talk:
I still have to do some more research on the new sm_52 chipset features. There is a good chance that there is some hidden potential we can use to gain out a bit more speed. That's all I can say for now.
Conclusion:
- The 290x is still in the lead from raw numbers
- The 980 is in the lead from from Speed:Watt ratio (TDP for 290x is 290W, TDP for 980 is 160-180W)
--
atom
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Hoooo, hope v1.31 can solve that error--"cuModuleLoad<> 301".
BTW, GTX980's Power loss seems really good....
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Which specific card did you use?
Some makers have factory overclocked versions, which might be good to know for comparison purposes.
And which ForceWare driver?
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(09-24-2014, 07:57 PM)Kgx Pnqvhm Wrote: Which specific card did you use?
Some makers have factory overclocked versions, which might be good to know for comparison purposes.
And which ForceWare driver?
Well it's a GAINWARD card, but it doesn't matter, it's a reference card with default clock speeds. The driver I used is ForceWare 343.22 which is the latest stable driver for Linux.
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09-24-2014, 09:50 PM
(This post was last modified: 09-24-2014, 09:51 PM by atom.)
(09-24-2014, 06:22 PM)underwater Wrote: Hoooo, hope v1.31 can solve that error--"cuModuleLoad<> 301".
BTW, GTX980's Power loss seems really good....
oclHashcat v1.30 does not support the gtx980 (and 970?). I had to upgrade to the latest cuda SDK to get the compiler to work.
No worries with oclHashcat v1.31 they will be supported.
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09-24-2014, 09:54 PM
(This post was last modified: 09-24-2014, 09:55 PM by atom.)
OK, some nice update. The benchmark above uses brute-force to meassure the performance. When I played a bit more with the card I did a benchmark using combinator-attack, the -a1 kernels. This kernel is also used with hybrid attack -a6 and -a7.
The picture is a bit different:
290x:
Speed.GPU.#1...: 5866.1 MH/s
980:
Speed.GPU.#1...: 5975.6 MH/s
This is using MD5. I hope there are more surprises like this waiting to be found
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i enjoy seeing a nvidia card performing better than amd! Better performance on combinator is something
Does this also work for rule-based attacks? And holds this true for other algos, too, or just md5?
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(09-24-2014, 09:50 PM)atom Wrote: (09-24-2014, 06:22 PM)underwater Wrote: Hoooo, hope v1.31 can solve that error--"cuModuleLoad<> 301".
BTW, GTX980's Power loss seems really good....
oclHashcat v1.30 does not support the gtx980 (and 970?). I had to upgrade to the latest cuda SDK to get the compiler to work.
No worries with oclHashcat v1.31 they will be supported.
Yes, I have tried v1.30 on gtx980 SLI, but it didn't work only show me a error
Atom told me that v1.31 can solve this. That's happy to hear that
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interested in 970 benchmarks. there's supposed to be a 20nm version coming later? wonder if it consumes even less watts. I might get a 20nm 970.
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New optimization found in -a1 mode:
980 old -a1:
Speed.GPU.#1...: 5975.6 MH/s
980 new -a1:
Speed.GPU.#1...: 6507.2 MH/s