Ryzen 3 3300X Xmas

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB 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 2012288-HA-RYZEN333058
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Audio Encoding 3 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 7 Tests
Creator Workloads 8 Tests
Encoding 4 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 3 Tests
Multi-Core 10 Tests
Intel oneAPI 2 Tests
Programmer / Developer System Benchmarks 7 Tests
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December 27 2020
  4 Hours, 19 Minutes
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December 27 2020
  4 Hours, 18 Minutes
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December 28 2020
  4 Hours, 24 Minutes
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Ryzen 3 3300X XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS)AMD Starship/Matisse8GB256GB INTEL SSDPEKKW256G7AMD FirePro V3800 512MBAMD Redwood HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.9.0-rc5-14sep-patch (x86_64) 20200914GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0)GCC 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: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 Python Details- Python 3.8.5Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.2.2100%102%103%105%CLOMPoneDNNBuild2Node.js V8 Web Tooling BenchmarkStockfishPHPBenchCoremarkBRL-CADNCNNSQLite Speedtestrav1easmFishTimed Eigen CompilationsimdjsonOpenVINOTimed Clash CompilationUnpacking FirefoxTimed FFmpeg CompilationOpus Codec EncodingTimed HMMer SearchWavPack Audio EncodingUnpacking The Linux KernelMonkey Audio EncodingASTC Encoder

Ryzen 3 3300X Xmasunpack-linux: linux-4.15.tar.xzclomp: Static OMP Speeduphmmer: Pfam Database Searchsimdjson: 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 Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodenode-web-tooling: astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivesqlite-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_400mopenvino: 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 - CPUphpbench: PHP Benchmark Suiteencode-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xzbrl-cad: VGR Performance Metric1234.9443.2103.4210.600.430.680.76.843718.521114.929042.5076621.25219.1208011.408021.884111.37939.985945947.853081.195994.083080.424.756715991.493093.575.727110.3871.1631.5423.469182448.2757861037843014970912242.93194.307211.74772.83411.5537.18012.577.478.3250.94410.7457.68620.845.354.538.054.897.622.2715.3065.7015.8214.4533.6728.3027.1010.851.273131.881.263187.960.884532.980.874567.403955.381.003893.181.0267132112.37617.504667124.9313.0103.2750.600.430.690.696.863969.810544.961262.6411721.59899.1617211.427522.647411.514610.021255999.783106.436027.193114.004.907606018.263114.625.767080.3901.1461.5533.483180553.0232781031321415051454241.82794.693205.34573.10311.5287.16012.237.508.3250.96411.1558.04320.745.414.698.254.897.772.1515.9466.0615.7014.5833.7728.5927.1310.981.273165.511.263178.770.884536.610.874557.653992.290.993962.811.0067856612.41217.459663324.9373.1103.1010.590.430.680.76.768557.806394.899772.4036920.94709.0946811.353822.002911.36209.968375934.313058.795977.347762.445.022416010.573101.655.790350.3941.1561.5513.486181403.6724221020280615000176242.57294.431206.09073.18411.5377.15712.507.468.3250.93410.2057.87021.065.214.608.034.917.542.2015.7866.1215.8614.4633.7728.4627.0111.021.273149.601.283167.390.884506.690.874562.873937.051.013973.200.9967800912.38717.42466953OpenBenchmarking.org

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernellinux-4.15.tar.xz1231.11242.22483.33724.44965.562SE +/- 0.016, N = 4SE +/- 0.012, N = 4SE +/- 0.016, N = 44.9444.9314.937
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernellinux-4.15.tar.xz123246810Min: 4.91 / Avg: 4.94 / Max: 4.98Min: 4.9 / Avg: 4.93 / Max: 4.95Min: 4.91 / Avg: 4.94 / Max: 4.97

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1230.721.442.162.883.6SE +/- 0.03, N = 11SE +/- 0.03, N = 11SE +/- 0.00, N = 33.23.03.11. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup123246810Min: 3 / Avg: 3.15 / Max: 3.3Min: 2.8 / Avg: 3 / Max: 3.1Min: 3.1 / Avg: 3.1 / Max: 3.11. (CC) gcc options: -fopenmp -O3 -lm

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 Search12320406080100SE +/- 0.21, N = 3SE +/- 0.36, N = 3SE +/- 0.06, N = 3103.42103.28103.101. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 103.03 / Avg: 103.42 / Max: 103.73Min: 102.64 / Avg: 103.27 / Max: 103.91Min: 103.02 / Avg: 103.1 / Max: 103.211. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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: Kostya1230.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.600.600.591. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123246810Min: 0.59 / Avg: 0.6 / Max: 0.6Min: 0.59 / Avg: 0.6 / Max: 0.6Min: 0.59 / Avg: 0.59 / Max: 0.61. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.09680.19360.29040.38720.484SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.430.430.431. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.42 / Avg: 0.43 / Max: 0.43Min: 0.42 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.431. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.15530.31060.46590.62120.7765SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.680.690.681. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123246810Min: 0.67 / Avg: 0.68 / Max: 0.68Min: 0.68 / Avg: 0.69 / Max: 0.69Min: 0.67 / Avg: 0.68 / Max: 0.681. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.15750.3150.47250.630.7875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.700.690.701. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.7 / Avg: 0.7 / Max: 0.7Min: 0.69 / Avg: 0.69 / Max: 0.7Min: 0.7 / Avg: 0.7 / Max: 0.71. (CXX) g++ options: -O3 -pthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.05247, N = 3SE +/- 0.03795, N = 3SE +/- 0.02602, N = 36.843716.863966.76855MIN: 6.52MIN: 6.54MIN: 6.511. (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: 6.74 / Avg: 6.84 / Max: 6.91Min: 6.79 / Avg: 6.86 / Max: 6.92Min: 6.73 / Avg: 6.77 / Max: 6.821. (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: f32 - Engine: CPU1233691215SE +/- 0.06499, N = 3SE +/- 0.03478, N = 3SE +/- 0.03984, N = 38.521119.810547.80639MIN: 8.23MIN: 9.58MIN: 7.521. (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: 8.45 / Avg: 8.52 / Max: 8.65Min: 9.75 / Avg: 9.81 / Max: 9.87Min: 7.73 / Avg: 7.81 / Max: 7.851. (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: CPU1231.11632.23263.34894.46525.5815SE +/- 0.01238, N = 3SE +/- 0.02534, N = 3SE +/- 0.00538, N = 34.929044.961264.89977MIN: 4.71MIN: 4.76MIN: 4.781. (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: 4.91 / Avg: 4.93 / Max: 4.95Min: 4.91 / Avg: 4.96 / Max: 5Min: 4.89 / Avg: 4.9 / Max: 4.911. (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: CPU1230.59431.18861.78292.37722.9715SE +/- 0.00755, N = 3SE +/- 0.02828, N = 3SE +/- 0.01203, N = 32.507662.641172.40369MIN: 2.23MIN: 2.35MIN: 2.161. (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: 2.5 / Avg: 2.51 / Max: 2.52Min: 2.59 / Avg: 2.64 / Max: 2.69Min: 2.39 / Avg: 2.4 / Max: 2.431. (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 +/- 0.04, N = 3SE +/- 0.04, N = 321.2521.6020.95MIN: 20.85MIN: 21.27MIN: 20.521. (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: 21.21 / Avg: 21.25 / Max: 21.28Min: 21.53 / Avg: 21.6 / Max: 21.65Min: 20.9 / Avg: 20.95 / Max: 21.031. (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: f32 - Engine: CPU1233691215SE +/- 0.04737, N = 3SE +/- 0.04005, N = 3SE +/- 0.03667, N = 39.120809.161729.09468MIN: 8.82MIN: 8.85MIN: 8.681. (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: 9.06 / Avg: 9.12 / Max: 9.21Min: 9.1 / Avg: 9.16 / Max: 9.24Min: 9.05 / Avg: 9.09 / Max: 9.171. (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 +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 311.4111.4311.35MIN: 10.92MIN: 11.08MIN: 11.071. (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: CPU1233691215Min: 11.34 / Avg: 11.41 / Max: 11.5Min: 11.31 / Avg: 11.43 / Max: 11.61Min: 11.28 / Avg: 11.35 / Max: 11.391. (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: CPU123510152025SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 321.8822.6522.00MIN: 21.29MIN: 21.5MIN: 21.191. (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: 21.61 / Avg: 21.88 / Max: 22.26Min: 22.32 / Avg: 22.65 / Max: 22.87Min: 21.97 / Avg: 22 / Max: 22.031. (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: CPU1233691215SE +/- 0.16, N = 4SE +/- 0.15, N = 5SE +/- 0.15, N = 411.3811.5111.36MIN: 10.71MIN: 10.71MIN: 10.631. (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: 11.14 / Avg: 11.38 / Max: 11.83Min: 11.21 / Avg: 11.51 / Max: 12.09Min: 11.15 / Avg: 11.36 / Max: 11.811. (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 +/- 0.06333, N = 3SE +/- 0.07668, N = 3SE +/- 0.06352, N = 39.9859410.021259.96837MIN: 9.73MIN: 9.73MIN: 9.671. (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: 9.92 / Avg: 9.99 / Max: 10.11Min: 9.93 / Avg: 10.02 / Max: 10.17Min: 9.9 / Avg: 9.97 / Max: 10.11. (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: CPU12313002600390052006500SE +/- 16.84, N = 3SE +/- 23.42, N = 3SE +/- 17.38, N = 35947.855999.785934.31MIN: 5859.06MIN: 5908.37MIN: 5855.051. (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: CPU12310002000300040005000Min: 5914.7 / Avg: 5947.85 / Max: 5969.54Min: 5963.02 / Avg: 5999.78 / Max: 6043.29Min: 5902.11 / Avg: 5934.31 / Max: 5961.751. (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: f32 - Engine: CPU1237001400210028003500SE +/- 7.11, N = 3SE +/- 10.42, N = 3SE +/- 13.63, N = 33081.193106.433058.79MIN: 3046.69MIN: 3065.93MIN: 3017.191. (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: CPU1235001000150020002500Min: 3067.64 / Avg: 3081.19 / Max: 3091.7Min: 3085.68 / Avg: 3106.43 / Max: 3118.44Min: 3040.15 / Avg: 3058.79 / Max: 3085.331. (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: CPU12313002600390052006500SE +/- 13.74, N = 3SE +/- 5.71, N = 3SE +/- 4.69, N = 35994.086027.195977.34MIN: 5912.47MIN: 5962.76MIN: 5910.311. (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: CPU12310002000300040005000Min: 5967.81 / Avg: 5994.08 / Max: 6014.18Min: 6017.78 / Avg: 6027.19 / Max: 6037.49Min: 5970.52 / Avg: 5977.34 / Max: 5986.341. (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: CPU12317003400510068008500SE +/- 3.85, N = 3SE +/- 3.69, N = 3SE +/- 1898.38, N = 123080.423114.007762.44MIN: 3048.92MIN: 3078.33MIN: 3053.571. (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: CPU12313002600390052006500Min: 3074.33 / Avg: 3080.42 / Max: 3087.55Min: 3107.88 / Avg: 3114 / Max: 3120.62Min: 3079.34 / Avg: 7762.44 / Max: 18370.91. (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: CPU1231.132.263.394.525.65SE +/- 0.01568, N = 3SE +/- 0.00870, N = 3SE +/- 0.01272, N = 34.756714.907605.02241MIN: 4.6MIN: 4.73MIN: 4.921. (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: 4.73 / Avg: 4.76 / Max: 4.78Min: 4.89 / Avg: 4.91 / Max: 4.92Min: 5 / Avg: 5.02 / Max: 5.041. (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: CPU12313002600390052006500SE +/- 12.75, N = 3SE +/- 6.95, N = 3SE +/- 11.64, N = 35991.496018.266010.57MIN: 5916.15MIN: 5963.79MIN: 5938.751. (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: bf16bf16bf16 - Engine: CPU12310002000300040005000Min: 5966.37 / Avg: 5991.49 / Max: 6007.89Min: 6009 / Avg: 6018.26 / Max: 6031.87Min: 5991.88 / Avg: 6010.57 / Max: 6031.941. (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: CPU1237001400210028003500SE +/- 12.41, N = 3SE +/- 2.70, N = 3SE +/- 4.05, N = 33093.573114.623101.65MIN: 3053.45MIN: 3079.42MIN: 3056.761. (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: CPU1235001000150020002500Min: 3068.8 / Avg: 3093.57 / Max: 3107.39Min: 3110.38 / Avg: 3114.62 / Max: 3119.63Min: 3094.68 / Avg: 3101.65 / Max: 3108.711. (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: CPU1231.30282.60563.90845.21126.514SE +/- 0.04335, N = 3SE +/- 0.03992, N = 3SE +/- 0.01983, N = 35.727115.767085.79035MIN: 5.59MIN: 5.59MIN: 5.621. (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: CPU123246810Min: 5.66 / Avg: 5.73 / Max: 5.81Min: 5.72 / Avg: 5.77 / Max: 5.85Min: 5.76 / Avg: 5.79 / Max: 5.831. (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: 11230.08870.17740.26610.35480.4435SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.3870.3900.394
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 112312345Min: 0.38 / Avg: 0.39 / Max: 0.39Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.39 / Avg: 0.39 / Max: 0.4

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.26170.52340.78511.04681.3085SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 31.1631.1461.156
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5123246810Min: 1.16 / Avg: 1.16 / Max: 1.17Min: 1.14 / Avg: 1.15 / Max: 1.15Min: 1.15 / Avg: 1.16 / Max: 1.16

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.34940.69881.04821.39761.747SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 31.5421.5531.551
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6123246810Min: 1.53 / Avg: 1.54 / Max: 1.55Min: 1.54 / Avg: 1.55 / Max: 1.57Min: 1.55 / Avg: 1.55 / Max: 1.56

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.78441.56882.35323.13763.922SE +/- 0.031, N = 3SE +/- 0.011, N = 3SE +/- 0.009, N = 33.4693.4833.486
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10123246810Min: 3.42 / Avg: 3.47 / Max: 3.52Min: 3.46 / Avg: 3.48 / Max: 3.5Min: 3.47 / Avg: 3.49 / Max: 3.5

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 Second12340K80K120K160K200KSE +/- 1723.09, N = 3SE +/- 84.93, N = 3SE +/- 1517.62, N = 3182448.28180553.02181403.671. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12330K60K90K120K150KMin: 179782.01 / Avg: 182448.28 / Max: 185672.29Min: 180417.21 / Avg: 180553.02 / Max: 180709.28Min: 179580.23 / Avg: 181403.67 / Max: 184416.781. (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 +/- 79093.81, N = 3SE +/- 94152.17, N = 3SE +/- 8582.84, N = 31037843010313214102028061. (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 Time1232M4M6M8M10MMin: 10258501 / Avg: 10378430.33 / Max: 10527727Min: 10127343 / Avg: 10313214.33 / Max: 10432280Min: 10192088 / Avg: 10202806 / Max: 102197771. (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 +/- 147023.02, N = 3SE +/- 141821.97, N = 3SE +/- 259111.24, N = 3149709121505145415000176
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1233M6M9M12M15MMin: 14679173 / Avg: 14970911.67 / Max: 15148620Min: 14771265 / Avg: 15051453.67 / Max: 15229773Min: 14691810 / Avg: 15000176 / Max: 15515051

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 Compile12350100150200250SE +/- 1.59, N = 3SE +/- 0.49, N = 3SE +/- 1.22, N = 3242.93241.83242.57
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile1234080120160200Min: 240.52 / Avg: 242.93 / Max: 245.92Min: 241.28 / Avg: 241.83 / Max: 242.8Min: 241.33 / Avg: 242.57 / Max: 245.02

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 Compile12320406080100SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 394.3194.6994.43
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile12320406080100Min: 94.24 / Avg: 94.31 / Max: 94.4Min: 94.62 / Avg: 94.69 / Max: 94.74Min: 94.21 / Avg: 94.43 / Max: 94.61

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 Compile12350100150200250SE +/- 2.92, N = 4SE +/- 0.43, N = 3SE +/- 0.42, N = 3211.75205.35206.09
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile1234080120160200Min: 203.85 / Avg: 211.75 / Max: 217.37Min: 204.63 / Avg: 205.35 / Max: 206.12Min: 205.28 / Avg: 206.09 / Max: 206.68

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile1231632486480SE +/- 0.05, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 372.8373.1073.18
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile1231428425670Min: 72.78 / Avg: 72.83 / Max: 72.93Min: 72.85 / Avg: 73.1 / Max: 73.55Min: 73.09 / Avg: 73.18 / Max: 73.33

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215SE +/- 0.05, N = 5SE +/- 0.01, N = 5SE +/- 0.04, N = 511.5511.5311.541. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215Min: 11.5 / Avg: 11.55 / Max: 11.74Min: 11.5 / Avg: 11.53 / Max: 11.57Min: 11.45 / Avg: 11.54 / Max: 11.691. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode123246810SE +/- 0.014, N = 5SE +/- 0.009, N = 5SE +/- 0.011, N = 57.1807.1607.1571. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 7.15 / Avg: 7.18 / Max: 7.23Min: 7.12 / Avg: 7.16 / Max: 7.17Min: 7.13 / Avg: 7.16 / Max: 7.21. (CXX) g++ options: -fvisibility=hidden -logg -lm

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 Benchmark1233691215SE +/- 0.05, N = 3SE +/- 0.16, N = 4SE +/- 0.06, N = 312.5712.2312.501. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark12348121620Min: 12.48 / Avg: 12.57 / Max: 12.64Min: 11.87 / Avg: 12.23 / Max: 12.63Min: 12.4 / Avg: 12.5 / Max: 12.621. Nodejs v10.19.0

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 +/- 0.01, N = 3SE +/- 0.02, N = 37.477.507.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1233691215Min: 7.46 / Avg: 7.47 / Max: 7.48Min: 7.49 / Avg: 7.5 / Max: 7.52Min: 7.42 / Avg: 7.46 / Max: 7.491. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 38.328.328.321. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215Min: 8.3 / Avg: 8.32 / Max: 8.33Min: 8.3 / Avg: 8.32 / Max: 8.34Min: 8.32 / Avg: 8.32 / Max: 8.321. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231122334455SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 350.9450.9650.931. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231020304050Min: 50.9 / Avg: 50.94 / Max: 50.96Min: 50.89 / Avg: 50.96 / Max: 51.06Min: 50.9 / Avg: 50.93 / Max: 50.951. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive12390180270360450SE +/- 0.25, N = 3SE +/- 0.26, N = 3SE +/- 0.35, N = 3410.74411.15410.201. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive12370140210280350Min: 410.23 / Avg: 410.74 / Max: 411.01Min: 410.62 / Avg: 411.15 / Max: 411.43Min: 409.62 / Avg: 410.2 / Max: 410.821. (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 1,0001231326395265SE +/- 0.08, N = 3SE +/- 0.30, N = 3SE +/- 0.44, N = 357.6958.0457.871. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231122334455Min: 57.6 / Avg: 57.69 / Max: 57.85Min: 57.51 / Avg: 58.04 / Max: 58.54Min: 57.32 / Avg: 57.87 / Max: 58.731. (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: mobilenet123510152025SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 320.8420.7421.06MIN: 20.05 / MAX: 85.85MIN: 20.13 / MAX: 85.1MIN: 20.64 / MAX: 85.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123510152025Min: 20.58 / Avg: 20.84 / Max: 21.08Min: 20.5 / Avg: 20.74 / Max: 20.89Min: 20.79 / Avg: 21.06 / Max: 21.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21231.21732.43463.65194.86926.0865SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 35.355.415.21MIN: 5.09 / MAX: 69.96MIN: 5.09 / MAX: 6.58MIN: 5.11 / MAX: 6.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.24 / Avg: 5.35 / Max: 5.58Min: 5.19 / Avg: 5.41 / Max: 5.78Min: 5.18 / Avg: 5.21 / Max: 5.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31231.05532.11063.16594.22125.2765SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 34.534.694.60MIN: 4.45 / MAX: 5.67MIN: 4.41 / MAX: 69MIN: 4.41 / MAX: 69.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.52 / Avg: 4.53 / Max: 4.55Min: 4.54 / Avg: 4.69 / Max: 4.8Min: 4.47 / Avg: 4.6 / Max: 4.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2123246810SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 38.058.258.03MIN: 7.93 / MAX: 9.17MIN: 7.96 / MAX: 75.31MIN: 7.92 / MAX: 9.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215Min: 7.98 / Avg: 8.05 / Max: 8.09Min: 8.08 / Avg: 8.25 / Max: 8.44Min: 7.97 / Avg: 8.03 / Max: 8.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1231.10482.20963.31444.41925.524SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 24.894.894.91MIN: 4.65 / MAX: 73.36MIN: 4.66 / MAX: 9.93MIN: 4.66 / MAX: 69.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123246810Min: 4.76 / Avg: 4.89 / Max: 5.1Min: 4.71 / Avg: 4.89 / Max: 5.12Min: 4.71 / Avg: 4.91 / Max: 5.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123246810SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 37.627.777.54MIN: 7.29 / MAX: 76.04MIN: 7.29 / MAX: 72.43MIN: 7.28 / MAX: 7.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01233691215Min: 7.44 / Avg: 7.62 / Max: 7.78Min: 7.37 / Avg: 7.77 / Max: 8.29Min: 7.37 / Avg: 7.54 / Max: 7.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.51081.02161.53242.04322.554SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 32.272.152.20MIN: 2.06 / MAX: 70.26MIN: 2.08 / MAX: 2.2MIN: 2.14 / MAX: 2.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 2.13 / Avg: 2.27 / Max: 2.55Min: 2.11 / Avg: 2.15 / Max: 2.18Min: 2.16 / Avg: 2.2 / Max: 2.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12348121620SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 315.3015.9415.78MIN: 15.16 / MAX: 15.91MIN: 15.25 / MAX: 84.78MIN: 15.23 / MAX: 81.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12348121620Min: 15.28 / Avg: 15.3 / Max: 15.32Min: 15.82 / Avg: 15.94 / Max: 16.12Min: 15.76 / Avg: 15.78 / Max: 15.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231530456075SE +/- 0.10, N = 3SE +/- 0.00, N = 3SE +/- 0.24, N = 365.7066.0666.12MIN: 65 / MAX: 137.08MIN: 65.09 / MAX: 141.18MIN: 65.21 / MAX: 155.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231326395265Min: 65.57 / Avg: 65.7 / Max: 65.9Min: 66.06 / Avg: 66.06 / Max: 66.07Min: 65.87 / Avg: 66.12 / Max: 66.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812348121620SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 315.8215.7015.86MIN: 15.58 / MAX: 81.57MIN: 15.54 / MAX: 16.16MIN: 15.57 / MAX: 80.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812348121620Min: 15.67 / Avg: 15.82 / Max: 16.05Min: 15.65 / Avg: 15.7 / Max: 15.74Min: 15.67 / Avg: 15.86 / Max: 16.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet12348121620SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 314.4514.5814.46MIN: 14.18 / MAX: 55.84MIN: 14.33 / MAX: 76.14MIN: 14.24 / MAX: 54.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet12348121620Min: 14.26 / Avg: 14.45 / Max: 14.7Min: 14.43 / Avg: 14.58 / Max: 14.81Min: 14.36 / Avg: 14.46 / Max: 14.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123816243240SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 333.6733.7733.77MIN: 33.27 / MAX: 101.28MIN: 33.47 / MAX: 97.95MIN: 33.37 / MAX: 101.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123714212835Min: 33.44 / Avg: 33.67 / Max: 33.79Min: 33.58 / Avg: 33.77 / Max: 34.04Min: 33.53 / Avg: 33.77 / Max: 33.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 328.3028.5928.46MIN: 28 / MAX: 91.83MIN: 28.06 / MAX: 97.11MIN: 28.22 / MAX: 94.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123612182430Min: 28.09 / Avg: 28.3 / Max: 28.7Min: 28.38 / Avg: 28.59 / Max: 28.76Min: 28.34 / Avg: 28.46 / Max: 28.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123612182430SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 327.1027.1327.01MIN: 26.69 / MAX: 85.76MIN: 26.52 / MAX: 93.78MIN: 26.46 / MAX: 92.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123612182430Min: 26.83 / Avg: 27.1 / Max: 27.5Min: 26.99 / Avg: 27.13 / Max: 27.2Min: 26.67 / Avg: 27.01 / Max: 27.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m1233691215SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 310.8510.9811.02MIN: 10.64 / MAX: 10.99MIN: 10.77 / MAX: 70.39MIN: 10.72 / MAX: 84.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m1233691215Min: 10.72 / Avg: 10.85 / Max: 10.91Min: 10.83 / Avg: 10.98 / Max: 11.19Min: 10.84 / Avg: 11.02 / Max: 11.331. (CXX) g++ options: -O3 -rdynamic -lgomp -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: CPU1230.28580.57160.85741.14321.429SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.271.271.27
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.26 / Avg: 1.27 / Max: 1.28Min: 1.25 / Avg: 1.27 / Max: 1.29Min: 1.25 / Avg: 1.27 / Max: 1.29

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1237001400210028003500SE +/- 28.67, N = 3SE +/- 7.31, N = 3SE +/- 15.76, N = 33131.883165.513149.60
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1236001200180024003000Min: 3087.53 / Avg: 3131.88 / Max: 3185.52Min: 3151.06 / Avg: 3165.51 / Max: 3174.69Min: 3118.08 / Avg: 3149.6 / Max: 3165.69

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.2880.5760.8641.1521.44SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.261.261.28
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1.25 / Avg: 1.26 / Max: 1.27Min: 1.24 / Avg: 1.26 / Max: 1.27Min: 1.27 / Avg: 1.28 / Max: 1.28

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1237001400210028003500SE +/- 15.42, N = 3SE +/- 7.74, N = 3SE +/- 15.34, N = 33187.963178.773167.39
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1236001200180024003000Min: 3165.5 / Avg: 3187.96 / Max: 3217.5Min: 3169.42 / Avg: 3178.77 / Max: 3194.13Min: 3136.85 / Avg: 3167.39 / Max: 3185.17

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.1980.3960.5940.7920.99SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.880.880.88
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 0.88 / Avg: 0.88 / Max: 0.88Min: 0.87 / Avg: 0.88 / Max: 0.88Min: 0.88 / Avg: 0.88 / Max: 0.88

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12310002000300040005000SE +/- 0.63, N = 3SE +/- 3.72, N = 3SE +/- 4.32, N = 34532.984536.614506.69
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1238001600240032004000Min: 4531.78 / Avg: 4532.98 / Max: 4533.88Min: 4529.34 / Avg: 4536.61 / Max: 4541.64Min: 4498.99 / Avg: 4506.69 / Max: 4513.95

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.19580.39160.58740.78320.979SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.870.870.87
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.88Min: 0.87 / Avg: 0.87 / Max: 0.88

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12310002000300040005000SE +/- 10.36, N = 3SE +/- 11.91, N = 3SE +/- 21.64, N = 34567.404557.654562.87
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1238001600240032004000Min: 4550.09 / Avg: 4567.4 / Max: 4585.91Min: 4536.27 / Avg: 4557.65 / Max: 4577.44Min: 4519.87 / Avg: 4562.87 / Max: 4588.64

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1239001800270036004500SE +/- 39.98, N = 3SE +/- 12.96, N = 3SE +/- 18.26, N = 33955.383992.293937.05
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1237001400210028003500Min: 3907.63 / Avg: 3955.38 / Max: 4034.8Min: 3967.06 / Avg: 3992.29 / Max: 4010.01Min: 3909.6 / Avg: 3937.05 / Max: 3971.65

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.22730.45460.68190.90921.1365SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.000.991.01
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 0.98 / Avg: 1 / Max: 1.01Min: 0.99 / Avg: 0.99 / Max: 1Min: 1 / Avg: 1.01 / Max: 1.02

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1239001800270036004500SE +/- 31.32, N = 3SE +/- 9.30, N = 3SE +/- 8.41, N = 33893.183962.813973.20
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1237001400210028003500Min: 3842.11 / Avg: 3893.18 / Max: 3950.13Min: 3949.81 / Avg: 3962.81 / Max: 3980.83Min: 3957.03 / Avg: 3973.2 / Max: 3985.3

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.22950.4590.68850.9181.1475SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.021.000.99
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 1 / Avg: 1.02 / Max: 1.03Min: 0.99 / Avg: 1 / Max: 1Min: 0.99 / Avg: 0.99 / Max: 1

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 +/- 2818.40, N = 3SE +/- 4627.72, N = 3SE +/- 4938.52, N = 3671321678566678009
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123120K240K360K480K600KMin: 665895 / Avg: 671321.33 / Max: 675356Min: 669760 / Avg: 678566.33 / Max: 685436Min: 669916 / Avg: 678009 / Max: 686959

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack1233691215SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 512.3812.4112.391. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620Min: 12.34 / Avg: 12.38 / Max: 12.49Min: 12.34 / Avg: 12.41 / Max: 12.48Min: 12.37 / Avg: 12.39 / Max: 12.421. (CXX) g++ options: -rdynamic

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz12348121620SE +/- 0.10, N = 4SE +/- 0.06, N = 4SE +/- 0.10, N = 417.5017.4617.42
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz12348121620Min: 17.34 / Avg: 17.5 / Max: 17.78Min: 17.38 / Avg: 17.46 / Max: 17.62Min: 17.3 / Avg: 17.42 / Max: 17.72

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance Metric12314K28K42K56K70K6671266332669531. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm


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