system

Intel Core i7-5820K testing with a ASUS X99-A/USB 3.1 and NVIDIA Quadro K620 2048MB on SUSE LINUX 42.1 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1601187-GA-SYSTEM99075
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mandlegpu:cpu+gpu
January 18 2016
 
nginx
January 18 2016
 
luxmark:cpu+gpu:HDR
January 18 2016
 
luxmark:cpu+gpu:hotel
January 18 2016
 
cyclictest+POSIX
January 18 2016
 
pybench
January 18 2016
 
juliagpu:cpu+gpu
January 18 2016
 
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systemOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-5820K @ 3.60GHz (12 Cores)ASUS X99-A/USB 3.1Intel Xeon E7 v3/Xeon32768MB1000GB Western Digital WD10EARS-00Y + 2000GB Hitachi HDS72302NVIDIA Quadro K620 2048MB (1058/900MHz)Realtek ALC1150Intel ConnectionSUSE LINUX 42.14.4.0-1-default (x86_64)KDE Frameworks 5X Server 1.17.2NVIDIA 358.164.4.0GCC 4.8.5 + Clang 3.7.0 (SVN 246586) + LLVM 3.7.0xfs2560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionSystem BenchmarksSystem Logs- mandlegpu:cpu+gpu, nginx, luxmark:cpu+gpu:HDR, luxmark:cpu+gpu:hotel, cyclictest+POSIX, juliagpu:cpu+gpu: --build=x86_64-suse-linux --disable-libgcj --disable-libmudflap --disable-libssp --disable-libstdcxx-pch --disable-plugin --enable-__cxa_atexit --enable-checking=release --enable-languages=c,c++,objc,fortran,obj-c++,java,ada --enable-libstdcxx-allocator=new --enable-linux-futex --enable-ssp --enable-version-specific-runtime-libs --host=x86_64-suse-linux --mandir=/usr/share/man --with-arch-32=i586 --with-slibdir=/lib64 --with-tune=generic --without-system-libunwind - Scaling Governor: intel_pstate powersave- mandlegpu:cpu+gpu, luxmark:cpu+gpu:HDR, luxmark:cpu+gpu:hotel, juliagpu:cpu+gpu: GPU Compute Cores: 384 - mandlegpu:cpu+gpu: GPU Compute Cores: 384.- luxmark:cpu+gpu:HDR: GPU Compute Cores: 384.- luxmark:cpu+gpu:hotel: GPU Compute Cores: 384.- pybench: Python 2.7.9.- juliagpu:cpu+gpu: GPU Compute Cores: 384.

systemmandelgpu: CPU+GPUnginx: Static Web Page Servingpybench: Total For Average Test Timesjuliagpu: CPU+GPUmandlegpu:cpu+gpunginxluxmark:cpu+gpu:HDRluxmark:cpu+gpu:hotelcyclictest+POSIXpybenchjuliagpu:cpu+gpu993030689.7026483.72172026687110.97OpenBenchmarking.org

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: CPU+GPUmandlegpu:cpu+gpu200M400M600M800M1000MSE +/- 11011377.51, N = 3993030689.701. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

NGINX Benchmark

OpenBenchmarking.orgRequests Per Second, More Is BetterNGINX Benchmark 1.0.11Static Web Page Servingnginx6K12K18K24K30KSE +/- 583.00, N = 626483.721. (CC) gcc options: -lpthread -lcrypt -lcrypto -lz -pipe

PyBench

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2008-08-14Total For Average Test Timespybench400800120016002000SE +/- 4.04, N = 31720

JuliaGPU

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: CPU+GPUjuliagpu:cpu+gpu6M12M18M24M30MSE +/- 225834.49, N = 326687110.971. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm