core-i5-4670-december

Intel Core i5-4670 testing with a MSI B85M-P33 (MS-7817) v1.0 (V4.9 BIOS) and MSI Intel HD 4600 2GB 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 2012193-HA-COREI546718
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December 19 2020
  12 Minutes
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December 19 2020
  2 Hours, 51 Minutes
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December 19 2020
  3 Hours, 2 Minutes
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December 19 2020
  3 Hours, 7 Minutes
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December 19 2020
  3 Hours, 7 Minutes
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core-i5-4670-december ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution11a234Intel Core i5-4670 @ 3.80GHz (4 Cores)MSI B85M-P33 (MS-7817) v1.0 (V4.9 BIOS)Intel 4th Gen Core DRAM8GB2000GB Samsung SSD 860MSI Intel HD 4600 2GB (1200MHz)Intel Xeon E3-1200 v3/4thDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.5 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,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_cpufreq ondemand - CPU Microcode: 0x28 - 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: Not affected

core-i5-4670-december hmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAsimdjson: Kostyaonednn: 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 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondbuild-ffmpeg: Time To Compilebuild2: Time To Compilenode-web-tooling: sqlite-speedtest: Timed Time - Size 1,000ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400m11a234140.05812.6170.5910.774613.64206.280974.9239230.304612.585017.550530.541315.202413.89038703.905460.159031.765407.387.700139078.495466.347.5144295428.240380163.119364.7689.7078.85136.339.308.1010.787.9313.242.6828.73134.3831.2325.1963.2352.3151.9416.15140.50512.5180.5911.238316.37266.355995.6591731.436412.681517.693331.274415.154314.03398840.595558.779114.825542.587.819789159.955604.527.5139995542.960974162.233361.9959.8078.64636.959.328.2110.787.9213.412.6828.59134.0431.3425.7163.3052.2752.2516.20140.25612.4390.5911.075917.26576.378525.7244131.425712.688017.728431.282015.158413.91768933.935557.659232.945624.847.845059174.755563.077.5146694952.494565162.075364.1649.8479.19136.879.598.2010.818.0613.392.6928.61133.9330.9125.5362.5653.5652.0016.51140.24012.4630.5911.400517.10326.330315.7343931.374312.640018.302931.205715.149014.05758939.745587.259209.445562.337.826759171.845652.747.5769095883.774516162.655368.1099.7479.10536.939.588.2210.797.7713.372.6828.60134.4831.0925.3262.5452.4451.4016.17OpenBenchmarking.org

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 Search1234306090120150SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3140.06140.51140.26140.241. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search1234306090120150Min: 140.01 / Avg: 140.06 / Max: 140.12Min: 140.18 / Avg: 140.51 / Max: 140.74Min: 140.1 / Avg: 140.26 / Max: 140.43Min: 140.02 / Avg: 140.24 / Max: 140.61. (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 RNA12343691215SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 312.6212.5212.4412.461. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA123448121620Min: 12.31 / Avg: 12.62 / Max: 12.92Min: 12.49 / Avg: 12.52 / Max: 12.56Min: 12.33 / Avg: 12.44 / Max: 12.65Min: 12.4 / Avg: 12.46 / Max: 12.571. (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: Kostya12340.13280.26560.39840.53120.664SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.590.590.590.591. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1234246810Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.591. (CXX) g++ options: -O3 -pthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1a2343691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 310.7711.2411.0811.40MIN: 10.6MIN: 11.08MIN: 10.83MIN: 10.841. (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: CPU1a2343691215Min: 10.73 / Avg: 10.77 / Max: 10.84Min: 11.19 / Avg: 11.24 / Max: 11.27Min: 11.04 / Avg: 11.08 / Max: 11.15Min: 11.08 / Avg: 11.4 / Max: 11.661. (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: CPU1a23448121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 313.6416.3717.2717.10MIN: 13.52MIN: 16.21MIN: 17.03MIN: 16.91. (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: CPU1a23448121620Min: 13.6 / Avg: 13.64 / Max: 13.67Min: 16.36 / Avg: 16.37 / Max: 16.38Min: 17.17 / Avg: 17.27 / Max: 17.35Min: 17.04 / Avg: 17.1 / Max: 17.141. (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: CPU1a234246810SE +/- 0.01198, N = 3SE +/- 0.01670, N = 3SE +/- 0.03782, N = 3SE +/- 0.03023, N = 36.280976.355996.378526.33031MIN: 6.23MIN: 6.28MIN: 6.29MIN: 6.221. (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: CPU1a2343691215Min: 6.26 / Avg: 6.28 / Max: 6.29Min: 6.34 / Avg: 6.36 / Max: 6.39Min: 6.33 / Avg: 6.38 / Max: 6.45Min: 6.27 / Avg: 6.33 / Max: 6.381. (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: CPU1a2341.29022.58043.87065.16086.451SE +/- 0.00651, N = 3SE +/- 0.00675, N = 3SE +/- 0.00635, N = 3SE +/- 0.00987, N = 34.923925.659175.724415.73439MIN: 4.88MIN: 5.61MIN: 5.67MIN: 5.681. (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: CPU1a234246810Min: 4.91 / Avg: 4.92 / Max: 4.93Min: 5.65 / Avg: 5.66 / Max: 5.67Min: 5.71 / Avg: 5.72 / Max: 5.73Min: 5.72 / Avg: 5.73 / Max: 5.751. (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: CPU1a234714212835SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 330.3031.4431.4331.37MIN: 29.87MIN: 31.29MIN: 31.24MIN: 31.111. (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: CPU1a234714212835Min: 30.22 / Avg: 30.3 / Max: 30.4Min: 31.39 / Avg: 31.44 / Max: 31.48Min: 31.4 / Avg: 31.43 / Max: 31.47Min: 31.27 / Avg: 31.37 / Max: 31.441. (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: CPU1a2343691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 312.5912.6812.6912.64MIN: 12.45MIN: 12.57MIN: 12.56MIN: 12.51. (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: CPU1a23448121620Min: 12.55 / Avg: 12.59 / Max: 12.63Min: 12.66 / Avg: 12.68 / Max: 12.71Min: 12.65 / Avg: 12.69 / Max: 12.72Min: 12.58 / Avg: 12.64 / Max: 12.751. (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: CPU1a234510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 317.5517.6917.7318.30MIN: 17.38MIN: 17.54MIN: 17.51MIN: 17.821. (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: CPU1a234510152025Min: 17.5 / Avg: 17.55 / Max: 17.62Min: 17.65 / Avg: 17.69 / Max: 17.73Min: 17.67 / Avg: 17.73 / Max: 17.76Min: 18.01 / Avg: 18.3 / Max: 18.51. (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: CPU1a234714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 330.5431.2731.2831.21MIN: 30.28MIN: 30.95MIN: 31.06MIN: 30.961. (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: CPU1a234714212835Min: 30.51 / Avg: 30.54 / Max: 30.59Min: 31.19 / Avg: 31.27 / Max: 31.32Min: 31.25 / Avg: 31.28 / Max: 31.34Min: 31.17 / Avg: 31.21 / Max: 31.231. (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: CPU1a23448121620SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 315.2015.1515.1615.15MIN: 15.09MIN: 15.1MIN: 15.1MIN: 15.091. (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: CPU1a23448121620Min: 15.13 / Avg: 15.2 / Max: 15.26Min: 15.14 / Avg: 15.15 / Max: 15.17Min: 15.15 / Avg: 15.16 / Max: 15.18Min: 15.14 / Avg: 15.15 / Max: 15.161. (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: u8s8f32 - Engine: CPU1a23448121620SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 313.8914.0313.9214.06MIN: 13.73MIN: 13.95MIN: 13.79MIN: 13.991. (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: CPU1a23448121620Min: 13.81 / Avg: 13.89 / Max: 13.94Min: 14.03 / Avg: 14.03 / Max: 14.04Min: 13.83 / Avg: 13.92 / Max: 14.05Min: 14.04 / Avg: 14.06 / Max: 14.081. (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: CPU1a2342K4K6K8K10KSE +/- 86.69, N = 3SE +/- 91.42, N = 3SE +/- 86.21, N = 3SE +/- 113.41, N = 38703.908840.598933.938939.74MIN: 8416.9MIN: 8597.38MIN: 8695.66MIN: 8605.751. (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: CPU1a23416003200480064008000Min: 8539.06 / Avg: 8703.9 / Max: 8832.84Min: 8688.33 / Avg: 8840.59 / Max: 9004.39Min: 8780.76 / Avg: 8933.93 / Max: 9079.09Min: 8712.96 / Avg: 8939.74 / Max: 9056.261. (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: f32 - Engine: CPU1a23412002400360048006000SE +/- 28.56, N = 3SE +/- 1.45, N = 3SE +/- 36.92, N = 3SE +/- 15.69, N = 35460.155558.775557.655587.25MIN: 5386.7MIN: 5514.32MIN: 5449.82MIN: 5532.381. (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: CPU1a23410002000300040005000Min: 5411.48 / Avg: 5460.15 / Max: 5510.38Min: 5556.45 / Avg: 5558.77 / Max: 5561.45Min: 5493.85 / Avg: 5557.65 / Max: 5621.74Min: 5560.14 / Avg: 5587.25 / Max: 5614.491. (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: CPU1a2342K4K6K8K10KSE +/- 15.55, N = 3SE +/- 14.11, N = 3SE +/- 39.97, N = 3SE +/- 29.31, N = 39031.769114.829232.949209.44MIN: 8754.79MIN: 8823.44MIN: 8959.28MIN: 8882.881. (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: CPU1a23416003200480064008000Min: 9013.96 / Avg: 9031.76 / Max: 9062.74Min: 9094.03 / Avg: 9114.82 / Max: 9141.75Min: 9171.05 / Avg: 9232.94 / Max: 9307.71Min: 9175.04 / Avg: 9209.44 / Max: 9267.751. (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: CPU1a23412002400360048006000SE +/- 28.62, N = 3SE +/- 26.83, N = 3SE +/- 21.34, N = 3SE +/- 42.01, N = 35407.385542.585624.845562.33MIN: 5323.35MIN: 5471.62MIN: 5559.14MIN: 5470.241. (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: CPU1a23410002000300040005000Min: 5378.26 / Avg: 5407.38 / Max: 5464.61Min: 5510.78 / Avg: 5542.58 / Max: 5595.91Min: 5585.81 / Avg: 5624.84 / Max: 5659.32Min: 5506.02 / Avg: 5562.33 / Max: 5644.491. (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: f32 - Engine: CPU1a234246810SE +/- 0.00354, N = 3SE +/- 0.00431, N = 3SE +/- 0.01551, N = 3SE +/- 0.00461, N = 37.700137.819787.845057.82675MIN: 7.61MIN: 7.74MIN: 7.75MIN: 7.741. (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: CPU1a2343691215Min: 7.69 / Avg: 7.7 / Max: 7.7Min: 7.81 / Avg: 7.82 / Max: 7.82Min: 7.83 / Avg: 7.85 / Max: 7.88Min: 7.82 / Avg: 7.83 / Max: 7.831. (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: CPU1a2342K4K6K8K10KSE +/- 88.44, N = 3SE +/- 29.34, N = 3SE +/- 22.47, N = 3SE +/- 25.64, N = 39078.499159.959174.759171.84MIN: 8599.52MIN: 8936.59MIN: 8941.68MIN: 8945.741. (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: CPU1a23416003200480064008000Min: 8953.98 / Avg: 9078.49 / Max: 9249.56Min: 9105.04 / Avg: 9159.95 / Max: 9205.34Min: 9140.01 / Avg: 9174.75 / Max: 9216.8Min: 9125.81 / Avg: 9171.84 / Max: 9214.431. (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: CPU1a23412002400360048006000SE +/- 38.18, N = 3SE +/- 22.30, N = 3SE +/- 18.31, N = 3SE +/- 16.53, N = 35466.345604.525563.075652.74MIN: 5366.55MIN: 5533.62MIN: 5497.5MIN: 5550.051. (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: CPU1a23410002000300040005000Min: 5390.26 / Avg: 5466.34 / Max: 5510.11Min: 5560.06 / Avg: 5604.52 / Max: 5629.79Min: 5527.04 / Avg: 5563.07 / Max: 5586.75Min: 5620.92 / Avg: 5652.74 / Max: 5676.41. (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: CPU1a234246810SE +/- 0.00608, N = 3SE +/- 0.00444, N = 3SE +/- 0.00223, N = 3SE +/- 0.02615, N = 37.514427.513997.514667.57690MIN: 7.45MIN: 7.46MIN: 7.46MIN: 7.461. (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: CPU1a2343691215Min: 7.5 / Avg: 7.51 / Max: 7.52Min: 7.51 / Avg: 7.51 / Max: 7.52Min: 7.51 / Avg: 7.51 / Max: 7.52Min: 7.53 / Avg: 7.58 / Max: 7.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 Second1a23420K40K60K80K100KSE +/- 1175.16, N = 3SE +/- 272.63, N = 3SE +/- 910.46, N = 15SE +/- 1036.68, N = 1595428.2495542.9694952.4995883.771. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second1a23417K34K51K68K85KMin: 93115.29 / Avg: 95428.24 / Max: 96946.19Min: 95006.23 / Avg: 95542.96 / Max: 95894.52Min: 88760.68 / Avg: 94952.49 / Max: 102518.1Min: 89315.62 / Avg: 95883.77 / Max: 101297.881. (CC) gcc options: -O2 -lrt" -lrt

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 Compile1a2344080120160200SE +/- 0.30, N = 3SE +/- 0.29, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3163.12162.23162.08162.66
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile1a234306090120150Min: 162.52 / Avg: 163.12 / Max: 163.44Min: 161.65 / Avg: 162.23 / Max: 162.58Min: 161.92 / Avg: 162.08 / Max: 162.16Min: 162.5 / Avg: 162.66 / Max: 162.8

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile1a23480160240320400SE +/- 1.06, N = 3SE +/- 1.03, N = 3SE +/- 1.02, N = 3SE +/- 0.42, N = 3364.77362.00364.16368.11
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile1a23470140210280350Min: 363.42 / Avg: 364.77 / Max: 366.85Min: 360.9 / Avg: 361.99 / Max: 364.05Min: 362.19 / Avg: 364.16 / Max: 365.63Min: 367.3 / Avg: 368.11 / Max: 368.7

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1a2343691215SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 39.709.809.849.741. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1a2343691215Min: 9.61 / Avg: 9.7 / Max: 9.84Min: 9.67 / Avg: 9.8 / Max: 9.98Min: 9.76 / Avg: 9.84 / Max: 9.89Min: 9.63 / Avg: 9.74 / Max: 9.841. Nodejs v10.19.0

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 1,0001a23420406080100SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 378.8578.6579.1979.111. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001a2341530456075Min: 78.54 / Avg: 78.85 / Max: 79.07Min: 78.34 / Avg: 78.65 / Max: 78.89Min: 79.04 / Avg: 79.19 / Max: 79.42Min: 78.92 / Avg: 79.11 / Max: 79.451. (CC) gcc options: -O2 -ldl -lz -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet1a234816243240SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.33, N = 3SE +/- 0.36, N = 336.3336.9536.8736.93MIN: 36.21 / MAX: 38.04MIN: 36.53 / MAX: 38.66MIN: 36.18 / MAX: 39.62MIN: 36.12 / MAX: 50.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet1a234816243240Min: 36.31 / Avg: 36.33 / Max: 36.37Min: 36.69 / Avg: 36.95 / Max: 37.36Min: 36.34 / Avg: 36.87 / Max: 37.46Min: 36.55 / Avg: 36.93 / Max: 37.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21a2343691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.30, N = 3SE +/- 0.31, N = 39.309.329.599.58MIN: 9.21 / MAX: 11.83MIN: 9.22 / MAX: 21.83MIN: 9.2 / MAX: 10.85MIN: 9.18 / MAX: 11.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21a2343691215Min: 9.27 / Avg: 9.3 / Max: 9.33Min: 9.28 / Avg: 9.32 / Max: 9.38Min: 9.28 / Avg: 9.59 / Max: 10.19Min: 9.25 / Avg: 9.58 / Max: 10.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31a234246810SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 38.108.218.208.22MIN: 8.01 / MAX: 9.63MIN: 8.01 / MAX: 9.57MIN: 8 / MAX: 11.87MIN: 7.99 / MAX: 10.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31a2343691215Min: 8.06 / Avg: 8.1 / Max: 8.14Min: 8.08 / Avg: 8.21 / Max: 8.46Min: 8.07 / Avg: 8.2 / Max: 8.47Min: 8.07 / Avg: 8.22 / Max: 8.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21a2343691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.7810.7810.8110.79MIN: 10.74 / MAX: 13.51MIN: 10.73 / MAX: 11.61MIN: 10.77 / MAX: 11.05MIN: 10.74 / MAX: 11.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21a2343691215Min: 10.78 / Avg: 10.78 / Max: 10.79Min: 10.76 / Avg: 10.78 / Max: 10.81Min: 10.8 / Avg: 10.81 / Max: 10.83Min: 10.77 / Avg: 10.79 / Max: 10.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1a234246810SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 37.937.928.067.77MIN: 7.75 / MAX: 8.36MIN: 7.76 / MAX: 8.26MIN: 7.76 / MAX: 10MIN: 7.7 / MAX: 7.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1a2343691215Min: 7.78 / Avg: 7.93 / Max: 8.21Min: 7.8 / Avg: 7.92 / Max: 8.06Min: 7.79 / Avg: 8.06 / Max: 8.22Min: 7.74 / Avg: 7.77 / Max: 7.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01a2343691215SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 313.2413.4113.3913.37MIN: 13.14 / MAX: 15.99MIN: 13.16 / MAX: 13.83MIN: 13.17 / MAX: 15.94MIN: 13.14 / MAX: 13.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01a23448121620Min: 13.18 / Avg: 13.24 / Max: 13.33Min: 13.21 / Avg: 13.41 / Max: 13.7Min: 13.21 / Avg: 13.39 / Max: 13.69Min: 13.17 / Avg: 13.37 / Max: 13.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1a2340.60531.21061.81592.42123.0265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.682.682.692.68MIN: 2.65 / MAX: 2.78MIN: 2.65 / MAX: 2.87MIN: 2.65 / MAX: 3.46MIN: 2.65 / MAX: 2.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1a234246810Min: 2.67 / Avg: 2.68 / Max: 2.68Min: 2.68 / Avg: 2.68 / Max: 2.69Min: 2.68 / Avg: 2.69 / Max: 2.7Min: 2.68 / Avg: 2.68 / Max: 2.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet1a234714212835SE +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 328.7328.5928.6128.60MIN: 28.43 / MAX: 30.19MIN: 28.51 / MAX: 31.16MIN: 28.51 / MAX: 30.66MIN: 28.48 / MAX: 41.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet1a234612182430Min: 28.55 / Avg: 28.73 / Max: 29.09Min: 28.58 / Avg: 28.59 / Max: 28.61Min: 28.59 / Avg: 28.61 / Max: 28.64Min: 28.56 / Avg: 28.6 / Max: 28.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161a234306090120150SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.46, N = 3134.38134.04133.93134.48MIN: 133.8 / MAX: 148.18MIN: 133.61 / MAX: 145.21MIN: 133.42 / MAX: 157.33MIN: 133.44 / MAX: 146.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161a234306090120150Min: 134.06 / Avg: 134.38 / Max: 134.88Min: 133.89 / Avg: 134.04 / Max: 134.24Min: 133.75 / Avg: 133.93 / Max: 134.19Min: 133.61 / Avg: 134.48 / Max: 135.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet181a234714212835SE +/- 0.42, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.37, N = 331.2331.3430.9131.09MIN: 30.71 / MAX: 32.24MIN: 31.01 / MAX: 44.79MIN: 30.66 / MAX: 31.53MIN: 30.57 / MAX: 34.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet181a234714212835Min: 30.8 / Avg: 31.23 / Max: 32.06Min: 31.16 / Avg: 31.34 / Max: 31.57Min: 30.81 / Avg: 30.91 / Max: 31.09Min: 30.67 / Avg: 31.09 / Max: 31.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1a234612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 325.1925.7125.5325.32MIN: 25.08 / MAX: 33.51MIN: 25.62 / MAX: 27.63MIN: 25.1 / MAX: 32.92MIN: 25.1 / MAX: 35.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1a234612182430Min: 25.16 / Avg: 25.19 / Max: 25.22Min: 25.68 / Avg: 25.71 / Max: 25.72Min: 25.18 / Avg: 25.53 / Max: 25.73Min: 25.24 / Avg: 25.32 / Max: 25.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501a2341428425670SE +/- 0.71, N = 3SE +/- 0.84, N = 3SE +/- 0.74, N = 3SE +/- 0.65, N = 363.2363.3062.5662.54MIN: 61.59 / MAX: 66.79MIN: 61.67 / MAX: 77.71MIN: 61.64 / MAX: 67.01MIN: 61.66 / MAX: 65.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501a2341224364860Min: 61.9 / Avg: 63.23 / Max: 64.31Min: 61.91 / Avg: 63.3 / Max: 64.82Min: 61.81 / Avg: 62.56 / Max: 64.04Min: 61.89 / Avg: 62.54 / Max: 63.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1a2341224364860SE +/- 0.18, N = 3SE +/- 0.28, N = 3SE +/- 0.67, N = 3SE +/- 0.55, N = 352.3152.2753.5652.44MIN: 51.39 / MAX: 75.07MIN: 51.34 / MAX: 63.11MIN: 51.95 / MAX: 63.32MIN: 51.3 / MAX: 54.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1a2341122334455Min: 51.94 / Avg: 52.31 / Max: 52.5Min: 51.98 / Avg: 52.27 / Max: 52.83Min: 52.85 / Avg: 53.56 / Max: 54.9Min: 51.84 / Avg: 52.44 / Max: 53.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1a2341224364860SE +/- 0.32, N = 3SE +/- 0.26, N = 3SE +/- 0.63, N = 3SE +/- 0.21, N = 351.9452.2552.0051.40MIN: 51.15 / MAX: 55.05MIN: 51.5 / MAX: 55.44MIN: 51.17 / MAX: 53.56MIN: 51.03 / MAX: 611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1a2341020304050Min: 51.32 / Avg: 51.94 / Max: 52.34Min: 51.77 / Avg: 52.25 / Max: 52.66Min: 51.27 / Avg: 52 / Max: 53.26Min: 51.17 / Avg: 51.4 / Max: 51.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m1a23448121620SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 316.1516.2016.5116.17MIN: 16.08 / MAX: 17.02MIN: 16.07 / MAX: 28.3MIN: 16.14 / MAX: 19.26MIN: 16.12 / MAX: 16.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m1a23448121620Min: 16.12 / Avg: 16.15 / Max: 16.17Min: 16.12 / Avg: 16.2 / Max: 16.29Min: 16.18 / Avg: 16.51 / Max: 16.67Min: 16.15 / Avg: 16.17 / Max: 16.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread


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