Machine Deep Learning CPU Linux Distro Tests
Intel Xeon E5-2687W v3 testing with a MSI X99S SLI PLUS (MS-7885) v1.0 and NVIDIA GeForce GTX 770 2048MB on Ubuntu 16.04 via the Phoronix Test Suite.


Ubuntu 16.04.1 LTS: 

	Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (20 Cores), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0, Chipset: Intel Xeon E7 v3/Xeon, Memory: 32768MB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA GeForce GTX 770 2048MB, Audio: Realtek ALC892, Monitor: DELL P2415Q, Network: Intel Connection

	OS: Ubuntu 16.04, Kernel: 4.4.0-38-generic (x86_64), Desktop: Unity 7.4.0, Display Server: X Server 1.18.3, Display Driver: nouveau 1.0.12, OpenGL: 4.1 Mesa 11.2.0 Gallium 0.4, Compiler: GCC 5.4.0 20160609, File-System: ext4, Screen Resolution: 1920x1080


Scikit-Learn 0.17.1
Phoronix Test Suite v6.6.0
Seconds < Lower Is Better
Ubuntu 16.04.1 LTS . 39.18 |===================================================


Caffe AlexNet 2016-06-11
Build: CPU Googlenet
Milli-Seconds < Lower Is Better
Ubuntu 16.04.1 LTS . 827275 |==================================================


Caffe AlexNet 2016-06-11
Build: CPU AlexNet
Milli-Seconds < Lower Is Better
Ubuntu 16.04.1 LTS . 430672 |==================================================


Numpy Benchmark
Phoronix Test Suite v6.6.0
Nanoseconds < Lower Is Better
Ubuntu 16.04.1 LTS . 7232012 |=================================================