panda_numpy
panda_numpy
panda_numpy
Processor: 2 x Intel Xeon E5-2690 0 (16 Cores / 32 Threads), Motherboard: Dell 01W23F (2.2.2 BIOS), Chipset: Intel Xeon E5/Core, Memory: 8 x 16384 MB DDR3-1600MHz M393B2G70DB0-YK0, Disk: 107GB PERC H710P + 2591GB PERC H710P, Graphics: Matrox G200eR2, Network: 4 x Broadcom NetXtreme BCM5720 PCIe + Mellanox MT27500 Family
OS: CentOS Linux 7, Kernel: 3.10.0-862.14.4.el7.x86_64 (x86_64), Compiler: GCC 4.8.5 20150623, File-System: xfs, Screen Resolution: 1024x768
Python Notes: Python 2.7.5
Security Notes: KPTI + Load fences __user pointer sanitization + Full retpoline + SSB disabled via prctl and seccomp + PTE Inversion; VMX: SMT vulnerable L1D conditional cache flushes
Numpy Benchmark
This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
panda_numpy
Processor: 2 x Intel Xeon E5-2690 0 (16 Cores / 32 Threads), Motherboard: Dell 01W23F (2.2.2 BIOS), Chipset: Intel Xeon E5/Core, Memory: 8 x 16384 MB DDR3-1600MHz M393B2G70DB0-YK0, Disk: 107GB PERC H710P + 2591GB PERC H710P, Graphics: Matrox G200eR2, Network: 4 x Broadcom NetXtreme BCM5720 PCIe + Mellanox MT27500 Family
OS: CentOS Linux 7, Kernel: 3.10.0-862.14.4.el7.x86_64 (x86_64), Compiler: GCC 4.8.5 20150623, File-System: xfs, Screen Resolution: 1024x768
Python Notes: Python 2.7.5
Security Notes: KPTI + Load fences __user pointer sanitization + Full retpoline + SSB disabled via prctl and seccomp + PTE Inversion; VMX: SMT vulnerable L1D conditional cache flushes
Testing initiated at 25 February 2019 09:11 by user .