Xeon E3 December

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

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December 16 2020
  3 Hours, 20 Minutes
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December 16 2020
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Xeon E3 DecemberProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution123Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 3GB (1150MHz)Realtek ALC1150VA24312 x Intel I210Ubuntu 20.045.9.0-050900rc8daily20201007-generic (x86_64) 20201006GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 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 Disk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite 10.2.2100%102%104%106%Compile BenchasmFishCoremarkoneDNNSQLite Speedtestrav1eTimed MAFFT AlignmentStockfishTimed Clash CompilationApache SiegeOpenVINOTimed FFmpeg CompilationTimed HMMer SearchASTC Encodersimdjson

Xeon E3 Decembercompilebench: Compilecompilebench: Initial Createcompilebench: Read Compiled Treehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDonednn: 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 - CPUrav1e: 1rav1e: 5rav1e: 6rav1e: 10coremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-clash: Time To Compilebuild-ffmpeg: Time To Compileastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivesqlite-speedtest: Timed Time - Size 1,000openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUapache-siege: 10apache-siege: 50apache-siege: 100apache-siege: 200apache-siege: 250apache-siege: 5001231529.81473.522257.82114.31211.4250.660.410.610.637.4596811.18633.369372.8862618.31669.8124913.230618.088510.44556.849736775.873592.956787.993592.064.766686789.733592.406.368900.3721.0561.3792.865155626.048954863958713158267466.708117.0028.4710.3765.95524.5868.2331.323017.521.323022.010.814847.270.804875.643219.391.233205.611.2338119.5641017.2540012.3438755.7238590.7938677.451539.37484.302813.01114.27011.3960.660.410.610.637.4162911.21923.371412.8932518.39429.8930113.285618.104410.25716.815266772.063594.106774.754305.984.782786770.453588.916.390290.3781.0461.3872.820156356.203387864417112875424466.490116.9328.4710.3765.96524.4868.0081.323009.721.323007.780.84870.640.794915.233182.231.233211.681.2338216.6941152.7640225.7538603.4338026.5738477.401514.90482.682774.39114.18211.3410.660.410.610.637.4258511.21603.377562.8955518.30389.8115713.270818.139810.27616.807016769.143591.716774.263590.094.756766771.853595.756.363630.3771.0561.3752.918157395.235112859735413017425465.745117.0308.5010.3865.94524.2768.7241.333010.361.333008.320.804871.410.804908.313228.311.233223.231.2338216.6941107.6039651.4638874.5038218.5438076.76OpenBenchmarking.org

Compile Bench

Compilebench tries to age a filesystem by simulating some of the disk IO common in creating, compiling, patching, stating and reading kernel trees. It indirectly measures how well filesystems can maintain directory locality as the disk fills up and directories age. This current test is setup to use the makej mode with 10 initial directories Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile12330060090012001500SE +/- 13.75, N = 11SE +/- 18.44, N = 3SE +/- 7.60, N = 31529.811539.371514.90
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile12330060090012001500Min: 1411.04 / Avg: 1529.81 / Max: 1571.55Min: 1516.68 / Avg: 1539.37 / Max: 1575.89Min: 1500.61 / Avg: 1514.9 / Max: 1526.54

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create123100200300400500SE +/- 5.30, N = 3SE +/- 0.96, N = 3SE +/- 0.62, N = 3473.52484.30482.68
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create12390180270360450Min: 467.59 / Avg: 473.52 / Max: 484.09Min: 482.48 / Avg: 484.3 / Max: 485.75Min: 481.54 / Avg: 482.68 / Max: 483.69

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree1236001200180024003000SE +/- 190.86, N = 3SE +/- 19.61, N = 3SE +/- 9.50, N = 32257.822813.012774.39
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree1235001000150020002500Min: 2036.18 / Avg: 2257.82 / Max: 2637.78Min: 2793.4 / Avg: 2813.01 / Max: 2852.24Min: 2764.89 / Avg: 2774.39 / Max: 2793.4

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3114.31114.27114.181. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 114.2 / Avg: 114.31 / Max: 114.42Min: 114.16 / Avg: 114.27 / Max: 114.35Min: 114.09 / Avg: 114.18 / Max: 114.31. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 311.4311.4011.341. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215Min: 11.37 / Avg: 11.42 / Max: 11.48Min: 11.28 / Avg: 11.4 / Max: 11.51Min: 11.26 / Avg: 11.34 / Max: 11.471. (CC) gcc options: -std=c99 -O3 -lm -lpthread

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.14850.2970.44550.5940.7425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.660.660.661. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123246810Min: 0.66 / Avg: 0.66 / Max: 0.66Min: 0.66 / Avg: 0.66 / Max: 0.66Min: 0.66 / Avg: 0.66 / Max: 0.661. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.410.410.411. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.411. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.13730.27460.41190.54920.6865SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.610.610.611. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123246810Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 0.61 / Avg: 0.61 / Max: 0.611. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.630.631. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.63 / Avg: 0.63 / Max: 0.63Min: 0.63 / Avg: 0.63 / Max: 0.63Min: 0.63 / Avg: 0.63 / Max: 0.631. (CXX) g++ options: -O3 -pthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.04449, N = 3SE +/- 0.00627, N = 3SE +/- 0.01688, N = 37.459687.416297.42585MIN: 7.15MIN: 7.17MIN: 7.171. (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: 7.39 / Avg: 7.46 / Max: 7.54Min: 7.41 / Avg: 7.42 / Max: 7.43Min: 7.39 / Avg: 7.43 / Max: 7.451. (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: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 311.1911.2211.22MIN: 11.04MIN: 11.09MIN: 11.061. (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: CPU1233691215Min: 11.17 / Avg: 11.19 / Max: 11.19Min: 11.19 / Avg: 11.22 / Max: 11.24Min: 11.19 / Avg: 11.22 / Max: 11.261. (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: CPU1230.761.522.283.043.8SE +/- 0.00251, N = 3SE +/- 0.00402, N = 3SE +/- 0.00570, N = 33.369373.371413.37756MIN: 3.34MIN: 3.34MIN: 3.341. (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: 3.36 / Avg: 3.37 / Max: 3.37Min: 3.36 / Avg: 3.37 / Max: 3.38Min: 3.37 / Avg: 3.38 / Max: 3.391. (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: CPU1230.65151.3031.95452.6063.2575SE +/- 0.00454, N = 3SE +/- 0.00431, N = 3SE +/- 0.01185, N = 32.886262.893252.89555MIN: 2.82MIN: 2.82MIN: 2.821. (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: 2.88 / Avg: 2.89 / Max: 2.89Min: 2.89 / Avg: 2.89 / Max: 2.9Min: 2.87 / Avg: 2.9 / Max: 2.911. (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: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 318.3218.3918.30MIN: 18.23MIN: 18.27MIN: 18.231. (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: CPU123510152025Min: 18.3 / Avg: 18.32 / Max: 18.35Min: 18.37 / Avg: 18.39 / Max: 18.43Min: 18.29 / Avg: 18.3 / Max: 18.331. (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 +/- 0.00257, N = 3SE +/- 0.07275, N = 3SE +/- 0.00492, N = 39.812499.893019.81157MIN: 9.74MIN: 9.75MIN: 9.741. (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: 9.81 / Avg: 9.81 / Max: 9.82Min: 9.81 / Avg: 9.89 / Max: 10.04Min: 9.81 / Avg: 9.81 / Max: 9.821. (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: CPU1233691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.2313.2913.27MIN: 13.08MIN: 13.05MIN: 13.091. (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: 13.18 / Avg: 13.23 / Max: 13.31Min: 13.25 / Avg: 13.29 / Max: 13.31Min: 13.24 / Avg: 13.27 / Max: 13.291. (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: CPU12348121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 318.0918.1018.14MIN: 17.98MIN: 18.01MIN: 17.941. (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: CPU123510152025Min: 18.07 / Avg: 18.09 / Max: 18.11Min: 18.07 / Avg: 18.1 / Max: 18.13Min: 18.07 / Avg: 18.14 / Max: 18.231. (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 +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.4510.2610.28MIN: 10.18MIN: 10.16MIN: 10.161. (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: CPU1233691215Min: 10.23 / Avg: 10.45 / Max: 10.56Min: 10.23 / Avg: 10.26 / Max: 10.31Min: 10.23 / Avg: 10.28 / Max: 10.311. (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: CPU123246810SE +/- 0.03178, N = 3SE +/- 0.01077, N = 3SE +/- 0.00592, N = 36.849736.815266.80701MIN: 6.77MIN: 6.77MIN: 6.761. (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: 6.81 / Avg: 6.85 / Max: 6.91Min: 6.8 / Avg: 6.82 / Max: 6.83Min: 6.8 / Avg: 6.81 / Max: 6.821. (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: f32 - Engine: CPU12315003000450060007500SE +/- 3.56, N = 3SE +/- 2.83, N = 3SE +/- 0.57, N = 36775.876772.066769.14MIN: 6765.02MIN: 6762.71MIN: 6763.981. (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: CPU12312002400360048006000Min: 6769.93 / Avg: 6775.87 / Max: 6782.23Min: 6767.91 / Avg: 6772.06 / Max: 6777.46Min: 6768.33 / Avg: 6769.14 / Max: 6770.231. (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: CPU1238001600240032004000SE +/- 1.29, N = 3SE +/- 3.43, N = 3SE +/- 0.34, N = 33592.953594.103591.71MIN: 3587.61MIN: 3586.14MIN: 3586.031. (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: CPU1236001200180024003000Min: 3590.45 / Avg: 3592.95 / Max: 3594.75Min: 3588.62 / Avg: 3594.1 / Max: 3600.4Min: 3591.17 / Avg: 3591.71 / Max: 3592.351. (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: CPU12315003000450060007500SE +/- 13.50, N = 3SE +/- 3.30, N = 3SE +/- 3.71, N = 36787.996774.756774.26MIN: 6769.98MIN: 6765.45MIN: 6764.731. (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: CPU12312002400360048006000Min: 6774.44 / Avg: 6787.99 / Max: 6814.99Min: 6768.14 / Avg: 6774.75 / Max: 6778.1Min: 6770.34 / Avg: 6774.26 / Max: 6781.681. (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: CPU1239001800270036004500SE +/- 1.44, N = 3SE +/- 661.22, N = 12SE +/- 0.26, N = 33592.064305.983590.09MIN: 3586.85MIN: 3583.59MIN: 3584.91. (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: CPU1237001400210028003500Min: 3589.35 / Avg: 3592.06 / Max: 3594.27Min: 3588.05 / Avg: 4305.98 / Max: 11561.7Min: 3589.58 / Avg: 3590.09 / Max: 3590.411. (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: CPU1231.07612.15223.22834.30445.3805SE +/- 0.01267, N = 3SE +/- 0.02507, N = 3SE +/- 0.00851, N = 34.766684.782784.75676MIN: 4.69MIN: 4.69MIN: 4.691. (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: CPU123246810Min: 4.75 / Avg: 4.77 / Max: 4.79Min: 4.76 / Avg: 4.78 / Max: 4.83Min: 4.74 / Avg: 4.76 / Max: 4.771. (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: CPU12315003000450060007500SE +/- 11.59, N = 3SE +/- 0.62, N = 3SE +/- 0.89, N = 36789.736770.456771.85MIN: 6771.62MIN: 6765.69MIN: 6767.121. (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: CPU12312002400360048006000Min: 6777.32 / Avg: 6789.73 / Max: 6812.89Min: 6769.22 / Avg: 6770.45 / Max: 6771.24Min: 6770.8 / Avg: 6771.85 / Max: 6773.611. (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: CPU1238001600240032004000SE +/- 0.86, N = 3SE +/- 1.29, N = 3SE +/- 0.95, N = 33592.403588.913595.75MIN: 3587.3MIN: 3583.6MIN: 3590.581. (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: CPU1236001200180024003000Min: 3590.68 / Avg: 3592.4 / Max: 3593.44Min: 3586.34 / Avg: 3588.91 / Max: 3590.25Min: 3594.24 / Avg: 3595.75 / Max: 3597.491. (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 +/- 0.00321, N = 3SE +/- 0.01827, N = 3SE +/- 0.00385, N = 36.368906.390296.36363MIN: 6.32MIN: 6.3MIN: 6.331. (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: 6.36 / Avg: 6.37 / Max: 6.37Min: 6.36 / Avg: 6.39 / Max: 6.42Min: 6.36 / Avg: 6.36 / Max: 6.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.08510.17020.25530.34040.4255SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.3720.3780.377
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 112312345Min: 0.37 / Avg: 0.37 / Max: 0.38Min: 0.37 / Avg: 0.38 / Max: 0.38Min: 0.37 / Avg: 0.38 / Max: 0.38

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.23760.47520.71280.95041.188SE +/- 0.001, N = 3SE +/- 0.010, N = 3SE +/- 0.003, N = 31.0561.0461.056
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5123246810Min: 1.05 / Avg: 1.06 / Max: 1.06Min: 1.03 / Avg: 1.05 / Max: 1.06Min: 1.05 / Avg: 1.06 / Max: 1.06

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.31210.62420.93631.24841.5605SE +/- 0.017, N = 3SE +/- 0.011, N = 3SE +/- 0.012, N = 31.3791.3871.375
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6123246810Min: 1.35 / Avg: 1.38 / Max: 1.4Min: 1.37 / Avg: 1.39 / Max: 1.41Min: 1.35 / Avg: 1.37 / Max: 1.39

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.65661.31321.96982.62643.283SE +/- 0.017, N = 3SE +/- 0.037, N = 4SE +/- 0.039, N = 52.8652.8202.918
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10123246810Min: 2.83 / Avg: 2.87 / Max: 2.89Min: 2.75 / Avg: 2.82 / Max: 2.92Min: 2.83 / Avg: 2.92 / Max: 3.05

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12330K60K90K120K150KSE +/- 955.86, N = 3SE +/- 1237.02, N = 3SE +/- 98.89, N = 3155626.05156356.20157395.241. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12330K60K90K120K150KMin: 153831.36 / Avg: 155626.05 / Max: 157093.77Min: 153957.18 / Avg: 156356.2 / Max: 158079.34Min: 157263.61 / Avg: 157395.24 / Max: 157588.891. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1232M4M6M8M10MSE +/- 63551.24, N = 3SE +/- 127238.25, N = 4SE +/- 37732.26, N = 38639587864417185973541. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1231.5M3M4.5M6M7.5MMin: 8547484 / Avg: 8639587 / Max: 8761494Min: 8417129 / Avg: 8644170.5 / Max: 9009070Min: 8536264 / Avg: 8597354 / Max: 86662681. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1233M6M9M12M15MSE +/- 179306.80, N = 4SE +/- 96223.72, N = 3SE +/- 118043.94, N = 3131582671287542413017425
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1232M4M6M8M10MMin: 12623129 / Avg: 13158267 / Max: 13385211Min: 12712893 / Avg: 12875423.67 / Max: 13045935Min: 12846387 / Avg: 13017425.33 / Max: 13243879

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 Compile123100200300400500SE +/- 0.73, N = 3SE +/- 1.13, N = 3SE +/- 0.73, N = 3466.71466.49465.75
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12380160240320400Min: 465.35 / Avg: 466.71 / Max: 467.82Min: 464.24 / Avg: 466.49 / Max: 467.86Min: 464.29 / Avg: 465.75 / Max: 466.63

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123306090120150SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3117.00116.93117.03
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile12320406080100Min: 116.87 / Avg: 117 / Max: 117.26Min: 116.78 / Avg: 116.93 / Max: 117.04Min: 116.98 / Avg: 117.03 / Max: 117.06

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.478.478.501. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1233691215Min: 8.46 / Avg: 8.47 / Max: 8.49Min: 8.47 / Avg: 8.47 / Max: 8.48Min: 8.49 / Avg: 8.5 / Max: 8.511. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.3710.3710.381. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215Min: 10.37 / Avg: 10.37 / Max: 10.38Min: 10.37 / Avg: 10.37 / Max: 10.38Min: 10.37 / Avg: 10.38 / Max: 10.381. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231530456075SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 365.9565.9665.941. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231326395265Min: 65.93 / Avg: 65.95 / Max: 65.99Min: 65.92 / Avg: 65.96 / Max: 66.03Min: 65.91 / Avg: 65.94 / Max: 65.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123110220330440550SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3524.58524.48524.271. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive12390180270360450Min: 524.52 / Avg: 524.58 / Max: 524.63Min: 524.43 / Avg: 524.48 / Max: 524.55Min: 524.11 / Avg: 524.27 / Max: 524.381. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231530456075SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 368.2368.0168.721. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231326395265Min: 67.8 / Avg: 68.23 / Max: 68.64Min: 67.79 / Avg: 68.01 / Max: 68.33Min: 68.53 / Avg: 68.72 / Max: 69.011. (CC) gcc options: -O2 -ldl -lz -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.29930.59860.89791.19721.4965SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.321.321.33
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.32 / Avg: 1.32 / Max: 1.33Min: 1.31 / Avg: 1.32 / Max: 1.33Min: 1.32 / Avg: 1.33 / Max: 1.33

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1236001200180024003000SE +/- 10.16, N = 3SE +/- 0.33, N = 3SE +/- 6.92, N = 33017.523009.723010.36
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1235001000150020002500Min: 3005.1 / Avg: 3017.52 / Max: 3037.66Min: 3009.32 / Avg: 3009.72 / Max: 3010.37Min: 3001.22 / Avg: 3010.36 / Max: 3023.92

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.29930.59860.89791.19721.4965SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.321.321.33
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1.3 / Avg: 1.32 / Max: 1.33Min: 1.32 / Avg: 1.32 / Max: 1.33Min: 1.32 / Avg: 1.33 / Max: 1.33

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1236001200180024003000SE +/- 19.19, N = 3SE +/- 1.32, N = 3SE +/- 6.33, N = 33022.013007.783008.32
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1235001000150020002500Min: 2999.36 / Avg: 3022.01 / Max: 3060.16Min: 3006.45 / Avg: 3007.78 / Max: 3010.41Min: 3001.27 / Avg: 3008.32 / Max: 3020.95

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.18230.36460.54690.72920.9115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.810.800.80
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 0.81 / Avg: 0.81 / Max: 0.82Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.79 / Avg: 0.8 / Max: 0.8

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12310002000300040005000SE +/- 11.04, N = 3SE +/- 16.52, N = 3SE +/- 6.66, N = 34847.274870.644871.41
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1238001600240032004000Min: 4825.39 / Avg: 4847.27 / Max: 4860.79Min: 4838.77 / Avg: 4870.64 / Max: 4894.11Min: 4861.7 / Avg: 4871.41 / Max: 4884.17

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.800.790.80
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 0.79 / Avg: 0.8 / Max: 0.8Min: 0.78 / Avg: 0.79 / Max: 0.8Min: 0.79 / Avg: 0.8 / Max: 0.81

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12311002200330044005500SE +/- 8.64, N = 3SE +/- 44.02, N = 3SE +/- 50.41, N = 34875.644915.234908.31
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1239001800270036004500Min: 4864.67 / Avg: 4875.64 / Max: 4892.7Min: 4868.74 / Avg: 4915.23 / Max: 5003.23Min: 4848.14 / Avg: 4908.31 / Max: 5008.46

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1237001400210028003500SE +/- 3.24, N = 3SE +/- 29.05, N = 3SE +/- 3.52, N = 33219.393182.233228.31
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1236001200180024003000Min: 3214.66 / Avg: 3219.39 / Max: 3225.59Min: 3124.63 / Avg: 3182.23 / Max: 3217.65Min: 3224.27 / Avg: 3228.31 / Max: 3235.33

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.27680.55360.83041.10721.384SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.231.231.23
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.23 / Avg: 1.23 / Max: 1.24Min: 1.22 / Avg: 1.23 / Max: 1.23

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1237001400210028003500SE +/- 10.94, N = 3SE +/- 3.45, N = 3SE +/- 6.47, N = 33205.613211.683223.23
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1236001200180024003000Min: 3183.73 / Avg: 3205.61 / Max: 3216.83Min: 3204.79 / Avg: 3211.68 / Max: 3215.21Min: 3211.88 / Avg: 3223.23 / Max: 3234.29

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.27680.55360.83041.10721.384SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.231.231.23
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 1.23 / Avg: 1.23 / Max: 1.24Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.23 / Avg: 1.23 / Max: 1.23

Apache Siege

This is a test of the Apache web server performance being facilitated by the Siege web server benchmark program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 101238K16K24K32K40KSE +/- 48.38, N = 3SE +/- 48.75, N = 3SE +/- 48.75, N = 338119.5638216.6938216.691. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 101237K14K21K28K35KMin: 38022.81 / Avg: 38119.56 / Max: 38167.94Min: 38167.94 / Avg: 38216.69 / Max: 38314.18Min: 38167.94 / Avg: 38216.69 / Max: 38314.181. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 501239K18K27K36K45KSE +/- 19.42, N = 3SE +/- 101.36, N = 3SE +/- 96.04, N = 341017.2541152.7641107.601. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 501237K14K21K28K35KMin: 40983.61 / Avg: 41017.25 / Max: 41050.9Min: 40950.04 / Avg: 41152.76 / Max: 41254.12Min: 40916.53 / Avg: 41107.6 / Max: 41220.111. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 1001239K18K27K36K45KSE +/- 183.00, N = 3SE +/- 98.66, N = 3SE +/- 87.37, N = 340012.3440225.7539651.461. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 1001237K14K21K28K35KMin: 39729.84 / Avg: 40012.34 / Max: 40355.12Min: 40032.03 / Avg: 40225.75 / Max: 40355.12Min: 39478.88 / Avg: 39651.46 / Max: 39761.431. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2001238K16K24K32K40KSE +/- 141.39, N = 3SE +/- 127.44, N = 3SE +/- 186.94, N = 338755.7238603.4338874.501. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2001237K14K21K28K35KMin: 38476.34 / Avg: 38755.72 / Max: 38933.23Min: 38350.91 / Avg: 38603.43 / Max: 38759.69Min: 38513.38 / Avg: 38874.5 / Max: 39138.951. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2501238K16K24K32K40KSE +/- 109.12, N = 3SE +/- 185.77, N = 3SE +/- 25.30, N = 338590.7938026.5738218.541. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2501237K14K21K28K35KMin: 38372.98 / Avg: 38590.79 / Max: 38711.68Min: 37656.27 / Avg: 38026.57 / Max: 38238Min: 38167.94 / Avg: 38218.54 / Max: 38243.841. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 5001238K16K24K32K40KSE +/- 35.82, N = 3SE +/- 85.64, N = 3SE +/- 14.30, N = 338677.4538477.4038076.761. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 5001237K14K21K28K35KMin: 38607.1 / Avg: 38677.45 / Max: 38724.38Min: 38334.34 / Avg: 38477.4 / Max: 38630.51Min: 38048.34 / Avg: 38076.76 / Max: 38093.811. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto