I use primarily Nvidia GPU cards for rendering, some ML, Cuda projects etc – and occasionally run benchmarks on the cards l have on different workstations for comparison.
Using OctaneBench – click here to download – here are some results. I used OctaneBench 4.00c
GTX970 4GB Desktop PC 94.16
GTX1060 6GB – on Alienware 17R5 Laptop 91.31
GTX 1080 8GB – Desktop PC – 147.30
Seems a bit odd to me that a GTX1060 is beat by a GTX970, but that might be because of the mobile vs desktop version? , l am pretty sure l have ran other tests posted on this website showign a GTX1060 exceeding a GTX970
QuadQuadro M600M 2GB 21.23
“Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed”.” ..Wikipedia
Download the program from: https://ethermine.org/ Click here
Test from command line:
ethminer -G –list-devices
ethminer -U –list-devices
ethminer.exe -R -U -P stratum+tcp://<your ETC address>:<youremail>@us2.ethermine.org:4444
Example output on running above on A17R5 GTX1060 6gb
Here are surprising results generated from the new Blender Benchmark under its Blender Open data website program.
Quick summary/my findings:
- less render time running Linux [LinumMint] than under Windows 10 [all things turned off], same hardware
- SSD’s help
Linux run: Workstation with GTX1080 8Gb, GTX970 4Gb, 32Gb RAM, Quad core Intel processor. No SSD
Same hardware as above but run under Windows 10
Ran on same hardware, only using the GTX1080 8Gb , under Linuxmint – impressive resuly showing in my view and from cuda/nvidia research l did that the 4Gb of the 2nd graphics card limits the performance.
Home PC #2 Results below, newer PC, no SSD, 2 x GTX560Ti
Below results from Alienware 17 [4 years old] with Samsung Evo 500Gb SSD, GTX860M
GTX1080 at about 80 degrees C – and doing 474 Sol/s
GTX970 at aboyt 56 degrees C – and doing 275 Sol/s
OS – Linuxmint
“The Top500 list the 500 fastest computer system being used today. In 1993 the collection was started and has been updated every 6 months since then. The report lists the sites that have the 500 most powerful computer systems installed. The best Linpack benchmark performance achieved is used as a performance measure in ranking the computers. The TOP500 list has been updated twice a year since June 1993.”
“Mflop/s is a rate of execution, millions of floating point operations per second. Whenever this term is used it will refer to 64 bit floating point operations and the operations will be either addition or multiplication.
Gflop/s refers to billions of floating point operations per second and Tflop/s refers to trillions of floating point operations per second.”
Source: Top 500 website
Below is the result of my laptop running Linpack.java : 228MFlops !!! 🙂
Below is the current 2017 top500 results