Alienware 17 R5 Benchmark

Using the software Superposition Benchmark – click here to download.

For CineBench – click here to download the free benchmark software’

Compared with my custom main workstation PC, using a dual card 8Gb GTX1080 and 4Gb GTX970

With same workstation, just with the GTX1080 8Gb card

From above, it seems my main PC as l have researched is limited a bit when a 4Gb GTX970 is in it.

Also note the processor is much older, compared to that in my new laptop below.

Below is the Alienware 17 R5 Results

Catzilla Benchmark Results

Discovered this free but very good Benchmark software – Catzilla – Click here for the download website.

Here are my various PC results.

A17 laptop – GTX860M  [4 years old]

 

PC with 2xGTX560Ti   [recent build]

PC with GTX1080 8G + GTX970 4G  [ 5 year old PC , i7 2600K at 3.4Ghz 32Gb ram with new Nvidia cards]

 

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

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

ZCash mining – using GTX1080 GTX970 Stats

Screenshots:

GTX1080 at about 80 degrees C – and doing 474 Sol/s

GTX970 at aboyt 56 degrees C – and doing 275 Sol/s

OS – Linuxmint

 

Top500 2017

“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