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Old 2019-05-05, 21:21   #12
lycorn
 
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Ok. Thanks a lot.
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Old 2019-05-20, 03:40   #13
LaurV
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Quote:
Originally Posted by axn;
515784GPU is GIGABYTE GEFORCE GTX 1660 TI OC (GV-N166TOC-6GD)
Did you/Can you sent/d benchmarks to James? It will help improve accuracy of those tables... (I had the feeling that 1300 is a bit low for this card, but I didn't test one yet)

Last fiddled with by LaurV on 2019-05-20 at 03:40 Reason: fix quote tag
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Old 2019-05-20, 04:14   #14
nomead
 
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Quote:
Originally Posted by LaurV View Post
Did you/Can you sent/d benchmarks to James? It will help improve accuracy of those tables... (I had the feeling that 1300 is a bit low for this card, but I didn't test one yet)
Those listed mfaktc benchmarks may seem a bit low, because they're calculated for base clock only. But the card will of course run as fast as it can within power and temperature restraints. So, for the RTX 2060 for example, base clock is only 1365 MHz and the boost clock listed in the specifications is 1680 MHz, but my card, with the cooling I have, will run mfaktc at 1920 MHz at full power. Silicon lottery also plays a part here, performance will vary a bit from unit to unit due to semiconductor process variation.

This, of course, makes the columns "GHd/d / W" etc. a bit useless since there, the calculated value is taken from TDP (full power) and base clock, but it doesn't quite work that way. If I force my card to run at the base frequency of 1365 MHz, it only takes about 65 watts, not the full 160W TDP rating. But as you can see, running it faster does ruin efficiency, so if electricity costs matter, slowing the card down will help more than one might expect.
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Old 2019-05-20, 04:45   #15
axn
 
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Quote:
Originally Posted by LaurV View Post
Did you/Can you sent/d benchmarks to James? It will help improve accuracy of those tables... (I had the feeling that 1300 is a bit low for this card, but I didn't test one yet)
I haven't yet, because the benchmark needs to be one complete assignment, which I haven't run (yet). Maybe over the weekend or something, I can check out an assignment and do it, and send it in. Let me see.

BTW, does anyone know how to use Intel iGPU for Xorg stuff and Nvidia to be dedicated to CUDA only, in Ubuntu? I searched the net, and all solutions require reinstalling Nvidia drivers with some custom option (GL stuff to be excluded, etc.). I don't want to do all of that.
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