scikit-learn-1
2 x Intel Xeon E5-2687W 0 testing with a Supermicro X9DRG-QF v0123456789 and NVIDIA Quadro K6000 11520MB on Ubuntu 16.04 via the Phoronix Test Suite.
2 x Intel Xeon E5-2687W 0 - NVIDIA Quadro K6000
Processor: 2 x Intel Xeon E5-2687W 0 @ 3.80GHz (32 Cores), Motherboard: Supermicro X9DRG-QF v0123456789, Chipset: Intel Xeon E5/Core, Memory: 113664MB, Disk: 8000GB MR9260-4i + 480GB INTEL SSDSC2BW48 + 256GB Samsung SSD 840, Graphics: NVIDIA Quadro K6000 11520MB (797/3004MHz), Audio: Intel C600/X79, Network: Intel 82571EB Gigabit
OS: Ubuntu 16.04, Kernel: 4.10.0-40-generic (x86_64), Desktop: Unity 7.4.0, Display Driver: NVIDIA 384.90, OpenGL: 4.5.0, Compiler: GCC 5.4.0 20160609 + CUDA 9.0, File-System: ext4, Screen Resolution: 2560x1600
Processor Notes: Scaling Governor: intel_pstate powersave
Scikit-Learn
Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.
2 x Intel Xeon E5-2687W 0 - NVIDIA Quadro K6000
Processor: 2 x Intel Xeon E5-2687W 0 @ 3.80GHz (32 Cores), Motherboard: Supermicro X9DRG-QF v0123456789, Chipset: Intel Xeon E5/Core, Memory: 113664MB, Disk: 8000GB MR9260-4i + 480GB INTEL SSDSC2BW48 + 256GB Samsung SSD 840, Graphics: NVIDIA Quadro K6000 11520MB (797/3004MHz), Audio: Intel C600/X79, Network: Intel 82571EB Gigabit
OS: Ubuntu 16.04, Kernel: 4.10.0-40-generic (x86_64), Desktop: Unity 7.4.0, Display Driver: NVIDIA 384.90, OpenGL: 4.5.0, Compiler: GCC 5.4.0 20160609 + CUDA 9.0, File-System: ext4, Screen Resolution: 2560x1600
Processor Notes: Scaling Governor: intel_pstate powersave
Testing initiated at 6 December 2017 10:10 by user fur.