What steps will reproduce the problem? 1.pyrit benchmark 2. 3.
What is the expected output? What do you see instead?
Nvidia 780ti with 2880 cores benchmark of 60.000 PMKs only??
if ati 7970 go more 100.000 PMKs and card is less than Nvidia 780ti!
what could be wrong?
What version of the product are you using? On what operating system? kalinux
Please provide any additional information below.
Dual 7970's running on an i7 2600k with 16GB RAM. Beats the hell out of the 75,000 PMKS.
Pyrit 0.4.1-dev (svn r308) (C) 2008-2011 Lukas Lueg http://pyrit.googlecode.com This code is distributed under the GNU General Public License v3+
Running benchmark (222730.57 PMKs/s)... /
Computed 222730.57 PMKs/s total.
1: 'CAL++ Device #1 'AMD GPU DEVICE'': 113695.7 PMKs/s (RTT 1.1)
2: 'CAL++ Device #2 'AMD GPU DEVICE'': 114080.1 PMKs/s (RTT 1.1)
http://www.overclock.net/t/1256450/post-your-pyrit-benchmarks-here
Comment #1
Posted on May 1, 2014 by Swift Panda780ti should do about 100000 PMK/s 7970 should do about 115000 PMK/s
Comment #2
Posted on May 24, 2014 by Grumpy Elephantwhat might be causing this loss? will be a slot for PCIe 2.0x16?
Comment #3
Posted on Aug 21, 2014 by Quick Oxwhich 'loss' are you referring to ?, I benched a 780 the other day @ about 65,000 PMK's for its 2300 cuda cores, my 760 only pushes about 25,000 for 1100 odd cores, do you mean why are nVidia cards far below ATi ? well its in the code .... and no one has updated it for years, the cuda code was 'not perfect' for the earlier generations of cards, and your basically just throwing more power at it ... why is ATi faster ? another user submitted a patch that made the ATi module more effecient, so it does more in less time, if the same were done for the cuda core, you would probably see 50% increase .... but dont hold your breath, no one is doing it, ive been trying, but I cant make it work ... and to learn, well, if you dont know C / python, its a pretty steep curve .... im trying, but I cant make it work, and I acknowledge i'm out of my depth .... nvidia's tools can update the cuda kernel code, and it goes from being 180k to 3.4k, at 1/60th the size, it has to take less time executing, if it can ever be make to work ....
Comment #4
Posted on Dec 13, 2014 by Grumpy Elephantloss referring to is Nvidia 780ti with 2880 cores benchmark of 60.000 PMKs only. by the amount cores should be greater.
Status: New
Labels:
Type-Defect
Priority-Medium