3D

OctaneBench – Benchmark results

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

 

 

Blender

Blender Open Data

I’ve used several benchmark software to compare computer hardware especially nvidia GPU cards used for cuda programming.  One good free benchmark software is Maxon CineBench    , another is Unigine Haven

 

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.

 

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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

Computer Hardware

Linuxmint 18.1 – Cuda 9.1 Toolkit

Updating to the latest cuda development toolkit on Linuxmint 18.1 [with a GTX 1080+970]

Notes:

Reference links:

First, update to R390 Driver

Terminal commands

sudo dpkg -i cuda-repo-ubuntu1704-9-1-local_9.1.85-1_amd64.deb

sudo apt-key add /var/cuda-repo-9-1-local/7fa2af80.pub

sudo apt-get update

sudo apt-get install cuda

Screenshots