7600k dev

Intel Core i5-7600K testing with a Gigabyte Z270M-D3H-CF (F8d BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.04 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 2012114-HA-7600KDEV730
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7600k devProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i5-7600K @ 4.20GHz (4 Cores)Gigabyte Z270M-D3H-CF (F8d BIOS)Intel Xeon E3-1200 v6/7th + Z2708GB250GB Samsung SSD 850Gigabyte Intel HD 630 3GB (1150MHz)Realtek ALC892DELL S2409WIntel I219-VUbuntu 20.045.9.0-050900rc7daily20200928-generic (x86_64) 20200927GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled

123Result OverviewPhoronix Test Suite100%102%103%105%107%Betsy GPU CompressoroneDNNTimed Clash CompilationPHPBench

7600k devbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUbuild-clash: Time To Compilephpbench: PHP Benchmark Suite12311.2596.84610.261719.32835.166684.4948239.490610.837014.432938.084913.073711.68347744.544909.217717.234907.758.979967719.414895.577.02760264.45070425910.93210.040217.94965.169324.440439.525410.855114.463638.133413.113811.59477741.084882.137718.794874.188.976327720.584871.477.00460263.19770414810.53810.089018.00265.164744.4311339.486110.821114.466238.168113.097211.58357744.314879.807739.444899.048.979907757.694880.317.03497263.245704427OpenBenchmarking.org

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1233691215SE +/- 0.27, N = 15SE +/- 0.17, N = 3SE +/- 0.17, N = 311.2610.9310.541. (CXX) g++ options: -O3 -O2 -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1233691215Min: 10.84 / Avg: 11.26 / Max: 14.97Min: 10.59 / Avg: 10.93 / Max: 11.11Min: 10.29 / Avg: 10.54 / Max: 10.851. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highest12468106.8461. (CXX) g++ options: -O3 -O2 -lpthread -ldl

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 310.2610.0410.09MIN: 10.08MIN: 9.88MIN: 9.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215Min: 10.19 / Avg: 10.26 / Max: 10.35Min: 10.02 / Avg: 10.04 / Max: 10.07Min: 10.06 / Avg: 10.09 / Max: 10.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123510152025SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 319.3317.9518.00MIN: 18.97MIN: 17.73MIN: 17.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123510152025Min: 19.27 / Avg: 19.33 / Max: 19.44Min: 17.88 / Avg: 17.95 / Max: 18Min: 17.96 / Avg: 18 / Max: 18.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1231.16312.32623.48934.65245.8155SE +/- 0.00243, N = 3SE +/- 0.00434, N = 3SE +/- 0.00616, N = 35.166685.169325.16474MIN: 5.14MIN: 5.13MIN: 5.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 5.16 / Avg: 5.17 / Max: 5.17Min: 5.16 / Avg: 5.17 / Max: 5.17Min: 5.15 / Avg: 5.16 / Max: 5.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1231.01132.02263.03394.04525.0565SE +/- 0.01078, N = 3SE +/- 0.00948, N = 3SE +/- 0.00705, N = 34.494824.440404.43113MIN: 4.38MIN: 4.32MIN: 4.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 4.47 / Avg: 4.49 / Max: 4.51Min: 4.42 / Avg: 4.44 / Max: 4.46Min: 4.42 / Avg: 4.43 / Max: 4.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123918273645SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 339.4939.5339.49MIN: 39.29MIN: 39.36MIN: 39.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123816243240Min: 39.45 / Avg: 39.49 / Max: 39.56Min: 39.48 / Avg: 39.53 / Max: 39.62Min: 39.43 / Avg: 39.49 / Max: 39.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.8410.8610.82MIN: 10.71MIN: 10.72MIN: 10.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215Min: 10.81 / Avg: 10.84 / Max: 10.86Min: 10.84 / Avg: 10.86 / Max: 10.86Min: 10.8 / Avg: 10.82 / Max: 10.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12348121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 314.4314.4614.47MIN: 14.12MIN: 14.19MIN: 14.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12348121620Min: 14.4 / Avg: 14.43 / Max: 14.47Min: 14.44 / Avg: 14.46 / Max: 14.51Min: 14.43 / Avg: 14.47 / Max: 14.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123918273645SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 338.0838.1338.17MIN: 37.86MIN: 37.92MIN: 37.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123816243240Min: 38.02 / Avg: 38.08 / Max: 38.16Min: 38.06 / Avg: 38.13 / Max: 38.22Min: 38.13 / Avg: 38.17 / Max: 38.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 313.0713.1113.10MIN: 13MIN: 13.03MIN: 13.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU12348121620Min: 13.05 / Avg: 13.07 / Max: 13.09Min: 13.11 / Avg: 13.11 / Max: 13.12Min: 13.08 / Avg: 13.1 / Max: 13.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 311.6811.5911.58MIN: 11.48MIN: 11.49MIN: 11.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 11.66 / Avg: 11.68 / Max: 11.72Min: 11.57 / Avg: 11.59 / Max: 11.62Min: 11.56 / Avg: 11.58 / Max: 11.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12317003400510068008500SE +/- 17.04, N = 3SE +/- 13.31, N = 3SE +/- 16.05, N = 37744.547741.087744.31MIN: 7710.72MIN: 7718.79MIN: 7721.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12313002600390052006500Min: 7718.43 / Avg: 7744.54 / Max: 7776.57Min: 7722.57 / Avg: 7741.08 / Max: 7766.9Min: 7728.13 / Avg: 7744.31 / Max: 7776.41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12311002200330044005500SE +/- 12.68, N = 3SE +/- 13.97, N = 3SE +/- 5.82, N = 34909.214882.134879.80MIN: 4884.95MIN: 4853.31MIN: 4867.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1239001800270036004500Min: 4890.69 / Avg: 4909.21 / Max: 4933.48Min: 4856.93 / Avg: 4882.13 / Max: 4905.2Min: 4873.18 / Avg: 4879.8 / Max: 4891.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12317003400510068008500SE +/- 2.30, N = 3SE +/- 4.93, N = 3SE +/- 2.22, N = 37717.237718.797739.44MIN: 7707.25MIN: 7706.15MIN: 7724.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12313002600390052006500Min: 7713.72 / Avg: 7717.23 / Max: 7721.57Min: 7711.32 / Avg: 7718.79 / Max: 7728.09Min: 7735.07 / Avg: 7739.44 / Max: 7742.261. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12311002200330044005500SE +/- 17.28, N = 3SE +/- 14.88, N = 3SE +/- 8.43, N = 34907.754874.184899.04MIN: 4870.56MIN: 4842.07MIN: 4883.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1239001800270036004500Min: 4873.24 / Avg: 4907.75 / Max: 4926.76Min: 4845.46 / Avg: 4874.18 / Max: 4895.29Min: 4889.66 / Avg: 4899.04 / Max: 4915.861. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1233691215SE +/- 0.01189, N = 3SE +/- 0.00101, N = 3SE +/- 0.00835, N = 38.979968.976328.97990MIN: 8.9MIN: 8.9MIN: 8.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1233691215Min: 8.96 / Avg: 8.98 / Max: 9Min: 8.97 / Avg: 8.98 / Max: 8.98Min: 8.96 / Avg: 8.98 / Max: 8.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12317003400510068008500SE +/- 2.33, N = 3SE +/- 15.59, N = 3SE +/- 17.13, N = 37719.417720.587757.69MIN: 7710MIN: 7692.02MIN: 7718.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12313002600390052006500Min: 7714.81 / Avg: 7719.41 / Max: 7722.36Min: 7700.39 / Avg: 7720.58 / Max: 7751.26Min: 7731.25 / Avg: 7757.69 / Max: 7789.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU12310002000300040005000SE +/- 2.72, N = 3SE +/- 5.26, N = 3SE +/- 9.45, N = 34895.574871.474880.31MIN: 4886.11MIN: 4857.88MIN: 4859.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1239001800270036004500Min: 4891.28 / Avg: 4895.57 / Max: 4900.61Min: 4860.96 / Avg: 4871.47 / Max: 4876.87Min: 4862.86 / Avg: 4880.31 / Max: 4895.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.02026, N = 3SE +/- 0.00990, N = 3SE +/- 0.03402, N = 37.027607.004607.03497MIN: 6.94MIN: 6.93MIN: 6.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1233691215Min: 7 / Avg: 7.03 / Max: 7.07Min: 6.98 / Avg: 7 / Max: 7.02Min: 7 / Avg: 7.03 / Max: 7.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed Clash Compilation

Build the clash-lang Haskell to VHDL/Verilog/SystemVerilog compiler with GHC 8.10.1 Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12360120180240300SE +/- 0.79, N = 3SE +/- 0.22, N = 3SE +/- 0.39, N = 3264.45263.20263.25
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12350100150200250Min: 263.31 / Avg: 264.45 / Max: 265.96Min: 262.78 / Avg: 263.2 / Max: 263.52Min: 262.76 / Avg: 263.25 / Max: 264.02

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123150K300K450K600K750KSE +/- 996.58, N = 3SE +/- 1841.91, N = 3SE +/- 794.68, N = 3704259704148704427
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123120K240K360K480K600KMin: 702295 / Avg: 704259.33 / Max: 705534Min: 700562 / Avg: 704147.67 / Max: 706672Min: 702895 / Avg: 704426.67 / Max: 705560