/home/gleb/Documents/tensor_flow_results_2018_10_29
Intel Core i7-4910MQ testing with a EUROCOM M4 and NVIDIA GeForce GTX 860M 2048MB on Ubuntu 18.04 via the Phoronix Test Suite.
trs
Processor: Intel Core i7-4910MQ @ 3.90GHz (8 Cores), Motherboard: EUROCOM M4, Chipset: Intel Xeon E3-1200 v3/4th, Memory: 16384MB, Disk: 512GB Samsung SSD 840 + 500GB Samsung SSD 840, Graphics: NVIDIA GeForce GTX 860M 2048MB (666/2505MHz), Audio: Intel Xeon E3-1200 v3/4th, Network: Realtek RTL8111/8168/8411 + Intel Wireless 7260
OS: Ubuntu 18.04, Kernel: 4.15.0-38-generic (x86_64), Desktop: MATE 1.20.1, Display Driver: NVIDIA 390.77, OpenGL: 4.6.0, File-System: ext4, Screen Resolution: 2560x1440
Processor Notes: Scaling Governor: intel_pstate powersave
Tensorflow
This is a benchmark of the Tensorflow deep learning framework using the CIFAR10 data set. Learn more via the OpenBenchmarking.org test page.
trs
Processor: Intel Core i7-4910MQ @ 3.90GHz (8 Cores), Motherboard: EUROCOM M4, Chipset: Intel Xeon E3-1200 v3/4th, Memory: 16384MB, Disk: 512GB Samsung SSD 840 + 500GB Samsung SSD 840, Graphics: NVIDIA GeForce GTX 860M 2048MB (666/2505MHz), Audio: Intel Xeon E3-1200 v3/4th, Network: Realtek RTL8111/8168/8411 + Intel Wireless 7260
OS: Ubuntu 18.04, Kernel: 4.15.0-38-generic (x86_64), Desktop: MATE 1.20.1, Display Driver: NVIDIA 390.77, OpenGL: 4.6.0, File-System: ext4, Screen Resolution: 2560x1440
Processor Notes: Scaling Governor: intel_pstate powersave
Testing initiated at 29 October 2018 16:57 by user gleb.