panda_numpy

panda_numpy

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1902251-SP-PANDANUMP47
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Date
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  Test
  Duration
panda_numpy
February 25 2019
  1 Hour, 5 Minutes


panda_numpyOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon E5-2690 0 (16 Cores / 32 Threads)Dell 01W23F (2.2.2 BIOS)Intel Xeon E5/Core8 x 16384 MB DDR3-1600MHz M393B2G70DB0-YK0107GB PERC H710P + 2591GB PERC H710PMatrox G200eR24 x Broadcom NetXtreme BCM5720 PCIe + Mellanox MT27500 FamilyCentOS Linux 73.10.0-862.14.4.el7.x86_64 (x86_64)GCC 4.8.5 20150623xfs1024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionPanda_numpy BenchmarksSystem Logs- Python 2.7.5- 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.

OpenBenchmarking.orgNanoseconds, Fewer Is BetterNumpy Benchmarkpanda_numpy2M4M6M8M10M8570932