2400G 2021

AMD Ryzen 5 2400G testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NM BIOS) and MSI AMD Radeon Vega / Mobile 2GB on Ubuntu 19.10 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 2101160-HA-2400G202136
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January 15 2021
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January 16 2021
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2400G 2021ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution1234AMD Ryzen 5 2400G @ 3.60GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NM BIOS)AMD Raven/Raven26GB120GB Corsair Force MP500MSI AMD Radeon Vega / Mobile 2GB (1250/1467MHz)AMD Raven/Raven2/FenghuangG237HLRealtek RTL8111/8168/8411Ubuntu 19.105.3.0-64-generic (x86_64)GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.54.5 Mesa 19.2.8 (LLVM 9.0.0)1.1.107GCC 9.2.1 20191008ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8101016 Java Details- OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Details- Python 2.7.17rc1 + Python 3.7.5Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

1234Result OverviewPhoronix Test Suite100%102%103%105%CloverLeafLAMMPS Molecular Dynamics SimulatorStockfishCP2K Molecular DynamicsoneDNNLZ4 Compressionrav1ex265Algebraic Multi-Grid BenchmarkTimed HMMer SearchCoremarkCraftyKvazaardav1dsimdjsonCLOMP

2400G 2021redis: LPOPmnn: SqueezeNetV1.0ncnn: CPU - blazefacecryptsetup: Serpent-XTS 256b Encryptioncloverleaf: Lagrangian-Eulerian Hydrodynamicsncnn: CPU - mnasnetcryptsetup: AES-XTS 256b Encryptioncryptsetup: PBKDF2-sha512cryptsetup: Twofish-XTS 256b Encryptionredis: SETcryptsetup: Twofish-XTS 512b Encryptiononednn: Recurrent Neural Network Training - f32 - CPUcompress-lz4: 9 - Compression Speedcompress-lz4: 3 - Compression Speedonednn: Deconvolution Batch shapes_1d - f32 - CPUncnn: CPU-v3-v3 - mobilenet-v3cryptsetup: Twofish-XTS 256b Decryptioncryptsetup: Twofish-XTS 512b Decryptioncryptsetup: Serpent-XTS 256b Decryptionmnn: inception-v3rav1e: 1mnn: resnet-v2-50ncnn: CPU - squeezenet_ssdncnn: CPU - efficientnet-b0cryptsetup: AES-XTS 256b Decryptiononednn: IP Shapes 3D - f32 - CPUsqlite-speedtest: Timed Time - Size 1,000cryptsetup: Serpent-XTS 512b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptionlammps: Rhodopsin Proteincompress-lz4: 1 - Compression Speedencode-opus: WAV To Opus Encodesunflow: Global Illumination + Image Synthesisespeak: Text-To-Speech Synthesiscompress-lz4: 1 - Decompression Speedncnn: CPU - shufflenet-v2stockfish: Total Timeonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUnode-web-tooling: x265: Bosphorus 1080pncnn: CPU - vgg16cp2k: Fayalite-FIST Datamnn: MobileNetV2_224rav1e: 6onednn: Convolution Batch Shapes Auto - f32 - CPUncnn: CPU - resnet50tnn: CPU - MobileNet v2astcenc: Fastncnn: CPU - mobilenettnn: CPU - SqueezeNet v1.1rav1e: 10kvazaar: Bosphorus 1080p - Ultra Fastasmfish: 1024 Hash Memory, 26 Depthbuild-godot: Time To Compileindigobench: CPU - Supercarbuild2: Time To Compilephpbench: PHP Benchmark Suitekvazaar: Bosphorus 1080p - Very Fastindigobench: CPU - Bedroomrav1e: 5onednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: IP Shapes 1D - f32 - CPUmnn: mobilenet-v1-1.0encode-wavpack: WAV To WavPackamg: build-ffmpeg: Time To Compilekvazaar: Bosphorus 4K - Very Fasthmmer: Pfam Database Searchdav1d: Chimera 1080pcompress-lz4: 9 - Decompression Speedx265: Bosphorus 4Knumpy: astcenc: Thoroughcompress-lz4: 3 - Decompression Speeddav1d: Summer Nature 1080pcoremark: CoreMark Size 666 - Iterations Per Secondastcenc: Mediumdav1d: Summer Nature 4Kcryptsetup: PBKDF2-whirlpoolbuild-eigen: Time To Compileonednn: Recurrent Neural Network Inference - f32 - CPUcrafty: Elapsed Timekvazaar: Bosphorus 4K - Ultra Fastastcenc: Exhaustivencnn: CPU - regnety_400mdav1d: Chimera 1080p 10-bitncnn: CPU - yolov4-tinykvazaar: Bosphorus 1080p - Mediumncnn: CPU - resnet18kvazaar: Bosphorus 4K - Mediumsimdjson: DistinctUserIDsimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyaclomp: Static OMP Speedupunpack-firefox: firefox-84.0.source.tar.xzncnn: CPU - alexnetncnn: CPU - googlenetncnn: CPU-v2-v2 - mobilenet-v2redis: GETredis: LPUSHredis: SADDcryptsetup: Serpent-XTS 512b Encryption12342089551.5911.4443.02341.8176.5010.051756.21358386384.41360473.30384.58155.3644.3843.2920.02189.47384.1383.8368.072.4340.31257.70443.2715.701759.59.7616579.071368.21559.41559.42.8578182.468.4092.51534.5808890.811.1577029746.895329.0922.75103.361355.8775.3861.08821.586666.32294.5018.4548.74275.7052.56934.9111318679308.1351.613296.22551731319.900.7730.84834.992515.99747.19814.328203466800131.1994.96126.297242.688727.95.31281.2165.148702.4236.91146076.5713619.8670.2961789082.1867519.8269379838.93546.6019.4765.3156.718.1325.301.880.450.440.340.4223.58521.6030.5012.002002260.291120777.871625716.67353.21192686.0912.7613.05369.3171.7910.581762.91421589386.41410438.04386.48342.6542.9644.6819.81979.77385.3385.3370.574.4040.31358.92742.2815.931766.39.9882680.731368.31562.71563.92.8648199.818.5402.56134.7948831.011.0277644806.992979.0522.54104.711338.9445.3811.07821.462166.08292.8468.3749.12274.0712.59334.7911219779305.6651.617298.54252076519.780.7740.85335.084716.05477.20414.364204210267130.7914.98126.319242.718697.25.32280.1765.128704.0237.53146125.9600199.8370.4161948782.1107498.5269187948.95546.9919.4865.2256.748.1225.301.880.450.440.340.4223.46622.4230.5911.591837364.391134102.711613560.77339.31214876.9211.3173.38354.2182.0310.271681.41420249371.91411275.42372.58103.9543.1043.2719.97919.53374.1374.2360.573.2210.31757.50743.3016.071726.29.9333778.973360.41530.91532.52.9138099.628.3822.54735.1928778.010.9876463796.910708.9722.55104.151351.3695.4461.09021.590166.85291.1228.3649.26273.1462.57534.9111301303305.7221.626297.00852041719.910.7780.84835.056816.08607.23514.394203312833130.6144.96126.143242.048710.55.30280.4064.908704.8236.72146576.0860599.8470.5061972782.3537499.5969364778.94545.8319.5065.2656.788.1225.281.880.450.440.340.4223.22021.9331.5912.331826116.871150279.501575249.37349.7181.708394.9144.4143.9520.45620.3209.968832.8988045.718744.077501846.8936922.841354.3111.07721.71812.57735.1119.880.85335.187316.05912032891004.96126.645242.988694.35.308674.7237.31146261.35818470.477501.9669235158.9565.238.121.880.450.440.340.42OpenBenchmarking.org

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP123400K800K1200K1600K2000KSE +/- 24605.67, N = 15SE +/- 16947.09, N = 15SE +/- 18592.80, N = 32089551.591192686.091214876.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP123400K800K1200K1600K2000KMin: 1953374.88 / Avg: 2089551.59 / Max: 2227599Min: 1051726.62 / Avg: 1192686.09 / Max: 1250200Min: 1187686.5 / Avg: 1214876.92 / Max: 12504401. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.01233691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.4412.7611.32MIN: 11.27 / MAX: 24.54MIN: 12.63 / MAX: 14.44MIN: 11.18 / MAX: 13.371. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.012348121620Min: 11.4 / Avg: 11.44 / Max: 11.49Min: 12.75 / Avg: 12.76 / Max: 12.78Min: 11.3 / Avg: 11.32 / Max: 11.341. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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: blazeface1230.76051.5212.28153.0423.8025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 33.023.053.38MIN: 2.77 / MAX: 3.46MIN: 2.78 / MAX: 3.47MIN: 2.87 / MAX: 3.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 2.97 / Avg: 3.02 / Max: 3.04Min: 3 / Avg: 3.05 / Max: 3.08Min: 3.24 / Avg: 3.38 / Max: 3.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption12380160240320400SE +/- 4.94, N = 15SE +/- 4.12, N = 3SE +/- 3.15, N = 3341.8369.3354.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption12370140210280350Min: 321.2 / Avg: 341.8 / Max: 371Min: 361.1 / Avg: 369.33 / Max: 373.8Min: 347.9 / Avg: 354.2 / Max: 357.5

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics12344080120160200SE +/- 0.62, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3176.50171.79182.03181.701. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics1234306090120150Min: 175.31 / Avg: 176.5 / Max: 177.38Min: 171.27 / Avg: 171.79 / Max: 172.2Min: 181.79 / Avg: 182.03 / Max: 182.25Min: 181.54 / Avg: 181.7 / Max: 181.861. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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: mnasnet1233691215SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 310.0510.5810.27MIN: 9.75 / MAX: 11.86MIN: 10.21 / MAX: 12.32MIN: 9.7 / MAX: 21.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1233691215Min: 9.9 / Avg: 10.05 / Max: 10.15Min: 10.49 / Avg: 10.58 / Max: 10.74Min: 10 / Avg: 10.27 / Max: 10.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption123400800120016002000SE +/- 6.44, N = 15SE +/- 3.18, N = 3SE +/- 49.12, N = 31756.21762.91681.4
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption12330060090012001500Min: 1681.4 / Avg: 1756.25 / Max: 1774.3Min: 1757.5 / Avg: 1762.9 / Max: 1768.5Min: 1610.7 / Avg: 1681.37 / Max: 1775.8

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512123300K600K900K1200K1500KSE +/- 15050.06, N = 15SE +/- 8936.67, N = 3SE +/- 6334.57, N = 3135838614215891420249
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512123200K400K600K800K1000KMin: 1266396 / Avg: 1358386 / Max: 1436405Min: 1403716 / Avg: 1421589.33 / Max: 1430526Min: 1411273 / Avg: 1420249 / Max: 1432480

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption12380160240320400SE +/- 1.73, N = 15SE +/- 0.07, N = 3SE +/- 7.32, N = 3384.4386.4371.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption12370140210280350Min: 363 / Avg: 384.45 / Max: 387.7Min: 386.3 / Avg: 386.37 / Max: 386.5Min: 364 / Avg: 371.87 / Max: 386.5

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET123300K600K900K1200K1500KSE +/- 16819.77, N = 15SE +/- 13500.87, N = 3SE +/- 22164.72, N = 31360473.301410438.041411275.421. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET123200K400K600K800K1000KMin: 1275877.62 / Avg: 1360473.3 / Max: 1472848.25Min: 1393426.25 / Avg: 1410438.04 / Max: 1437103.5Min: 1388888.88 / Avg: 1411275.42 / Max: 1455604.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption12380160240320400SE +/- 1.72, N = 13SE +/- 0.00, N = 2SE +/- 7.88, N = 3384.5386.4372.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption12370140210280350Min: 366.8 / Avg: 384.47 / Max: 387.9Min: 386.4 / Avg: 386.4 / Max: 386.4Min: 363.7 / Avg: 372.47 / Max: 388.2

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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12342K4K6K8K10KSE +/- 93.64, N = 3SE +/- 74.29, N = 11SE +/- 104.65, N = 15SE +/- 113.91, N = 38155.368342.658103.958394.91MIN: 7535.58MIN: 7400.41MIN: 7388.27MIN: 7807.511. (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: CPU123415003000450060007500Min: 8043.92 / Avg: 8155.36 / Max: 8341.44Min: 7867.26 / Avg: 8342.65 / Max: 8563.69Min: 7456.32 / Avg: 8103.95 / Max: 8806.21Min: 8168.88 / Avg: 8394.91 / Max: 8532.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed12341020304050SE +/- 0.49, N = 3SE +/- 0.61, N = 15SE +/- 0.66, N = 3SE +/- 0.48, N = 744.3842.9643.1044.411. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed1234918273645Min: 43.4 / Avg: 44.38 / Max: 44.96Min: 37.78 / Avg: 42.96 / Max: 46.53Min: 41.95 / Avg: 43.1 / Max: 44.25Min: 43.04 / Avg: 44.41 / Max: 46.521. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed12341020304050SE +/- 0.67, N = 3SE +/- 0.31, N = 3SE +/- 0.73, N = 12SE +/- 0.58, N = 1543.2944.6843.2743.951. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed1234918273645Min: 41.95 / Avg: 43.29 / Max: 44.02Min: 44.23 / Avg: 44.68 / Max: 45.28Min: 38.42 / Avg: 43.27 / Max: 46.56Min: 38.99 / Avg: 43.95 / Max: 46.61. (CC) gcc options: -O3

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: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1234510152025SE +/- 0.16, N = 3SE +/- 0.26, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 1520.0219.8219.9820.46MIN: 18.88MIN: 18.83MIN: 18.83MIN: 18.861. (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: CPU1234510152025Min: 19.7 / Avg: 20.02 / Max: 20.2Min: 19.39 / Avg: 19.82 / Max: 20.29Min: 19.56 / Avg: 19.98 / Max: 20.33Min: 19.57 / Avg: 20.46 / Max: 23.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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-v3-v3 - Model: mobilenet-v31233691215SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 39.479.779.53MIN: 9 / MAX: 21.33MIN: 9.05 / MAX: 13.2MIN: 8.98 / MAX: 11.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 9.35 / Avg: 9.47 / Max: 9.6Min: 9.73 / Avg: 9.77 / Max: 9.81Min: 9.47 / Avg: 9.53 / Max: 9.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption12380160240320400SE +/- 1.19, N = 15SE +/- 0.00, N = 3SE +/- 6.67, N = 3384.1385.3374.1
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption12370140210280350Min: 369.3 / Avg: 384.08 / Max: 386.4Min: 385.3 / Avg: 385.3 / Max: 385.3Min: 366.5 / Avg: 374.1 / Max: 387.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption12380160240320400SE +/- 1.40, N = 12SE +/- 0.10, N = 2SE +/- 6.58, N = 3383.8385.3374.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption12370140210280350Min: 370.8 / Avg: 383.83 / Max: 386.3Min: 385.2 / Avg: 385.3 / Max: 385.4Min: 366.6 / Avg: 374.2 / Max: 387.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption12380160240320400SE +/- 1.28, N = 15SE +/- 0.30, N = 3SE +/- 6.08, N = 3368.0370.5360.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption12370140210280350Min: 354 / Avg: 367.97 / Max: 372.3Min: 370.1 / Avg: 370.53 / Max: 371.1Min: 353.8 / Avg: 360.47 / Max: 372.6

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v312320406080100SE +/- 0.39, N = 3SE +/- 1.31, N = 3SE +/- 1.07, N = 372.4374.4073.22MIN: 70.53 / MAX: 86.1MIN: 70.84 / MAX: 120.63MIN: 70.71 / MAX: 88.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v31231428425670Min: 71.66 / Avg: 72.43 / Max: 72.93Min: 71.78 / Avg: 74.4 / Max: 75.79Min: 71.58 / Avg: 73.22 / Max: 75.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 0.4Speed: 112340.0720.1440.2160.2880.36SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.3120.3130.3170.320
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123412345Min: 0.31 / Avg: 0.31 / Max: 0.32Min: 0.31 / Avg: 0.31 / Max: 0.32Min: 0.31 / Avg: 0.32 / Max: 0.32Min: 0.32 / Avg: 0.32 / Max: 0.32

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-501231326395265SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 357.7058.9357.51MIN: 56.97 / MAX: 97.24MIN: 58.25 / MAX: 71.96MIN: 56.78 / MAX: 70.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-501231224364860Min: 57.55 / Avg: 57.7 / Max: 57.86Min: 58.58 / Avg: 58.93 / Max: 59.18Min: 57.24 / Avg: 57.51 / Max: 57.741. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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: squeezenet_ssd1231020304050SE +/- 0.41, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 343.2742.2843.30MIN: 36.99 / MAX: 55.23MIN: 36.93 / MAX: 50.75MIN: 37.21 / MAX: 48.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123918273645Min: 42.51 / Avg: 43.27 / Max: 43.89Min: 41.78 / Avg: 42.28 / Max: 42.6Min: 43.04 / Avg: 43.3 / Max: 43.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620SE +/- 0.14, N = 3SE +/- 0.41, N = 3SE +/- 0.41, N = 315.7015.9316.07MIN: 15.2 / MAX: 19.7MIN: 15.16 / MAX: 18.44MIN: 15.12 / MAX: 18.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620Min: 15.42 / Avg: 15.7 / Max: 15.86Min: 15.34 / Avg: 15.93 / Max: 16.72Min: 15.31 / Avg: 16.07 / Max: 16.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption123400800120016002000SE +/- 5.86, N = 15SE +/- 6.26, N = 3SE +/- 27.72, N = 31759.51766.31726.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption12330060090012001500Min: 1702.9 / Avg: 1759.47 / Max: 1779.4Min: 1753.8 / Avg: 1766.3 / Max: 1773.3Min: 1697.4 / Avg: 1726.17 / Max: 1781.6

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 3D - Data Type: f32 - Engine: CPU12343691215SE +/- 0.02437, N = 3SE +/- 0.02016, N = 3SE +/- 0.01413, N = 3SE +/- 0.01524, N = 39.761659.988269.933379.96883MIN: 9.53MIN: 9.76MIN: 9.73MIN: 9.81. (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: CPU12343691215Min: 9.72 / Avg: 9.76 / Max: 9.8Min: 9.95 / Avg: 9.99 / Max: 10.02Min: 9.91 / Avg: 9.93 / Max: 9.95Min: 9.95 / Avg: 9.97 / Max: 101. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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 1,00012320406080100SE +/- 0.86, N = 3SE +/- 0.40, N = 3SE +/- 0.81, N = 379.0780.7378.971. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231530456075Min: 77.62 / Avg: 79.07 / Max: 80.59Min: 79.93 / Avg: 80.73 / Max: 81.21Min: 77.84 / Avg: 78.97 / Max: 80.531. (CC) gcc options: -O2 -ldl -lz -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption12380160240320400SE +/- 1.22, N = 15SE +/- 1.76, N = 3SE +/- 5.35, N = 3368.2368.3360.4
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption12370140210280350Min: 354.8 / Avg: 368.23 / Max: 372.2Min: 365.1 / Avg: 368.27 / Max: 371.2Min: 354.7 / Avg: 360.4 / Max: 371.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption12330060090012001500SE +/- 4.00, N = 15SE +/- 4.19, N = 3SE +/- 19.24, N = 31559.41562.71530.9
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption12330060090012001500Min: 1513.6 / Avg: 1559.42 / Max: 1571.4Min: 1554.3 / Avg: 1562.67 / Max: 1567.2Min: 1510.8 / Avg: 1530.93 / Max: 1569.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption12330060090012001500SE +/- 3.88, N = 15SE +/- 3.70, N = 3SE +/- 18.68, N = 31559.41563.91532.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption12330060090012001500Min: 1517.4 / Avg: 1559.41 / Max: 1573.1Min: 1556.5 / Avg: 1563.9 / Max: 1567.9Min: 1512.4 / Avg: 1532.47 / Max: 1569.8

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12340.65541.31081.96622.62163.277SE +/- 0.032, N = 3SE +/- 0.031, N = 3SE +/- 0.002, N = 3SE +/- 0.013, N = 32.8572.8642.9132.8981. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1234246810Min: 2.81 / Avg: 2.86 / Max: 2.92Min: 2.81 / Avg: 2.86 / Max: 2.92Min: 2.91 / Avg: 2.91 / Max: 2.92Min: 2.88 / Avg: 2.9 / Max: 2.921. (CXX) g++ options: -O3 -pthread -lm

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed12342K4K6K8K10KSE +/- 57.23, N = 3SE +/- 42.47, N = 3SE +/- 103.87, N = 3SE +/- 82.51, N = 38182.468199.818099.628045.711. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed123414002800420056007000Min: 8071.99 / Avg: 8182.46 / Max: 8263.66Min: 8123.87 / Avg: 8199.81 / Max: 8270.72Min: 7916.67 / Avg: 8099.62 / Max: 8276.34Min: 7907.5 / Avg: 8045.71 / Max: 8192.911. (CC) gcc options: -O3

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 +/- 0.047, N = 5SE +/- 0.063, N = 5SE +/- 0.027, N = 58.4098.5408.3821. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 8.33 / Avg: 8.41 / Max: 8.58Min: 8.45 / Avg: 8.54 / Max: 8.79Min: 8.34 / Avg: 8.38 / Max: 8.491. (CXX) g++ options: -fvisibility=hidden -logg -lm

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis1230.57621.15241.72862.30482.881SE +/- 0.014, N = 3SE +/- 0.015, N = 3SE +/- 0.034, N = 32.5152.5612.547MIN: 2.3 / MAX: 3.5MIN: 2.32 / MAX: 3.38MIN: 2.31 / MAX: 3.25
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 2.49 / Avg: 2.52 / Max: 2.54Min: 2.54 / Avg: 2.56 / Max: 2.59Min: 2.5 / Avg: 2.55 / Max: 2.61

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240SE +/- 0.31, N = 20SE +/- 0.26, N = 20SE +/- 0.51, N = 434.5834.7935.191. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240Min: 32.66 / Avg: 34.58 / Max: 36.85Min: 33.23 / Avg: 34.79 / Max: 37.15Min: 34.13 / Avg: 35.19 / Max: 36.391. (CC) gcc options: -O2 -std=c99

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed12342K4K6K8K10KSE +/- 31.60, N = 3SE +/- 23.72, N = 3SE +/- 61.19, N = 3SE +/- 45.93, N = 38890.88831.08778.08744.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed123415003000450060007500Min: 8853 / Avg: 8890.83 / Max: 8953.6Min: 8784.9 / Avg: 8830.97 / Max: 8863.8Min: 8655.6 / Avg: 8777.97 / Max: 8840.5Min: 8654.8 / Avg: 8744 / Max: 8807.61. (CC) gcc options: -O3

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: shufflenet-v21233691215SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 311.1511.0210.98MIN: 10.9 / MAX: 23.16MIN: 10.78 / MAX: 13.17MIN: 10.8 / MAX: 12.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215Min: 11.05 / Avg: 11.15 / Max: 11.3Min: 10.9 / Avg: 11.02 / Max: 11.14Min: 10.89 / Avg: 10.98 / Max: 11.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 Time12341.7M3.4M5.1M6.8M8.5MSE +/- 95465.05, N = 3SE +/- 128808.86, N = 3SE +/- 81107.31, N = 3SE +/- 89981.20, N = 377029747764480764637977501841. (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 Time12341.3M2.6M3.9M5.2M6.5MMin: 7598990 / Avg: 7702974.33 / Max: 7893643Min: 7529578 / Avg: 7764480.33 / Max: 7973533Min: 7484577 / Avg: 7646378.67 / Max: 7737297Min: 7588893 / Avg: 7750184.33 / Max: 78999581. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1234246810SE +/- 0.01723, N = 3SE +/- 0.05526, N = 3SE +/- 0.00553, N = 3SE +/- 0.00433, N = 36.895326.992976.910706.89369MIN: 6.63MIN: 6.73MIN: 6.71MIN: 6.691. (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: CPU12343691215Min: 6.87 / Avg: 6.9 / Max: 6.93Min: 6.93 / Avg: 6.99 / Max: 7.1Min: 6.9 / Avg: 6.91 / Max: 6.92Min: 6.89 / Avg: 6.89 / Max: 6.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 39.099.058.971. Nodejs v10.15.2
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 8.98 / Avg: 9.09 / Max: 9.17Min: 8.88 / Avg: 9.05 / Max: 9.14Min: 8.86 / Avg: 8.97 / Max: 9.061. Nodejs v10.15.2

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p1234510152025SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 322.7522.5422.5522.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p1234510152025Min: 22.59 / Avg: 22.75 / Max: 22.91Min: 22.35 / Avg: 22.54 / Max: 22.77Min: 22.54 / Avg: 22.55 / Max: 22.57Min: 22.62 / Avg: 22.84 / Max: 23.081. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: vgg1612320406080100SE +/- 0.33, N = 3SE +/- 0.37, N = 3SE +/- 0.51, N = 3103.36104.71104.15MIN: 101.57 / MAX: 120.6MIN: 101.58 / MAX: 116.21MIN: 101.58 / MAX: 119.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100Min: 102.74 / Avg: 103.36 / Max: 103.85Min: 104.08 / Avg: 104.71 / Max: 105.35Min: 103.14 / Avg: 104.15 / Max: 104.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data1234300600900120015001355.881338.941351.371354.31

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2241231.22542.45083.67624.90166.127SE +/- 0.013, N = 3SE +/- 0.011, N = 3SE +/- 0.049, N = 35.3865.3815.446MIN: 5.32 / MAX: 17.3MIN: 5.32 / MAX: 16.01MIN: 5.34 / MAX: 18.361. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224123246810Min: 5.36 / Avg: 5.39 / Max: 5.41Min: 5.36 / Avg: 5.38 / Max: 5.39Min: 5.38 / Avg: 5.45 / Max: 5.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 0.4Speed: 612340.24530.49060.73590.98121.2265SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 31.0881.0781.0901.077
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61234246810Min: 1.08 / Avg: 1.09 / Max: 1.1Min: 1.08 / Avg: 1.08 / Max: 1.08Min: 1.08 / Avg: 1.09 / Max: 1.1Min: 1.07 / Avg: 1.08 / Max: 1.08

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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1234510152025SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 321.5921.4621.5921.72MIN: 19.99MIN: 20.02MIN: 20.01MIN: 20.051. (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: CPU1234510152025Min: 21.39 / Avg: 21.59 / Max: 21.78Min: 21.29 / Avg: 21.46 / Max: 21.67Min: 21.54 / Avg: 21.59 / Max: 21.62Min: 21.64 / Avg: 21.72 / Max: 21.861. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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: resnet501231530456075SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.61, N = 366.3266.0866.85MIN: 65.96 / MAX: 76.23MIN: 65.7 / MAX: 77.86MIN: 65.73 / MAX: 781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231326395265Min: 66.28 / Avg: 66.32 / Max: 66.35Min: 65.9 / Avg: 66.08 / Max: 66.26Min: 66.18 / Avg: 66.85 / Max: 68.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 0.91, N = 3SE +/- 0.75, N = 3SE +/- 0.96, N = 3294.50292.85291.12MIN: 285.67 / MAX: 317.77MIN: 282.82 / MAX: 346.97MIN: 282.45 / MAX: 314.391. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 292.8 / Avg: 294.5 / Max: 295.92Min: 291.65 / Avg: 292.85 / Max: 294.23Min: 289.39 / Avg: 291.12 / Max: 292.721. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.458.378.361. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1233691215Min: 8.39 / Avg: 8.45 / Max: 8.49Min: 8.36 / Avg: 8.37 / Max: 8.38Min: 8.35 / Avg: 8.36 / Max: 8.391. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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: mobilenet1231122334455SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 348.7449.1249.26MIN: 47.01 / MAX: 52.41MIN: 46.96 / MAX: 60.99MIN: 46.93 / MAX: 52.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet1231020304050Min: 48.33 / Avg: 48.74 / Max: 49.01Min: 48.83 / Avg: 49.12 / Max: 49.45Min: 48.35 / Avg: 49.26 / Max: 49.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.50, N = 3SE +/- 0.78, N = 3SE +/- 0.02, N = 3275.71274.07273.15MIN: 273.13 / MAX: 289MIN: 272.51 / MAX: 277.76MIN: 272.72 / MAX: 273.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 274.72 / Avg: 275.7 / Max: 276.31Min: 273.08 / Avg: 274.07 / Max: 275.62Min: 273.11 / Avg: 273.15 / Max: 273.171. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 0.4Speed: 1012340.58341.16681.75022.33362.917SE +/- 0.012, N = 3SE +/- 0.004, N = 3SE +/- 0.014, N = 3SE +/- 0.008, N = 32.5692.5932.5752.577
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101234246810Min: 2.55 / Avg: 2.57 / Max: 2.59Min: 2.59 / Avg: 2.59 / Max: 2.6Min: 2.55 / Avg: 2.58 / Max: 2.6Min: 2.57 / Avg: 2.58 / Max: 2.59

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1234816243240SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 334.9134.7934.9135.111. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1234816243240Min: 34.67 / Avg: 34.91 / Max: 35.15Min: 34.74 / Avg: 34.79 / Max: 34.87Min: 34.5 / Avg: 34.91 / Max: 35.29Min: 34.93 / Avg: 35.11 / Max: 35.351. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 Depth1232M4M6M8M10MSE +/- 142536.84, N = 3SE +/- 32130.07, N = 3SE +/- 65567.52, N = 3113186791121977911301303
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1232M4M6M8M10MMin: 11036282 / Avg: 11318679.33 / Max: 11493628Min: 11157270 / Avg: 11219779.33 / Max: 11263936Min: 11174644 / Avg: 11301303.33 / Max: 11394050

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12370140210280350SE +/- 1.18, N = 3SE +/- 0.24, N = 3SE +/- 0.40, N = 3308.14305.67305.72
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12360120180240300Min: 306.19 / Avg: 308.14 / Max: 310.25Min: 305.2 / Avg: 305.67 / Max: 306.03Min: 305.29 / Avg: 305.72 / Max: 306.52

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar1230.36590.73181.09771.46361.8295SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 31.6131.6171.626
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar123246810Min: 1.61 / Avg: 1.61 / Max: 1.62Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 1.62 / Avg: 1.63 / Max: 1.63

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 Compile12370140210280350SE +/- 2.45, N = 3SE +/- 4.17, N = 3SE +/- 3.18, N = 3296.23298.54297.01
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12350100150200250Min: 293.38 / Avg: 296.22 / Max: 301.11Min: 294.08 / Avg: 298.54 / Max: 306.87Min: 293.08 / Avg: 297.01 / Max: 303.3

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 Suite123110K220K330K440K550KSE +/- 4398.89, N = 3SE +/- 2872.36, N = 3SE +/- 3539.26, N = 3517313520765520417
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite12390K180K270K360K450KMin: 510788 / Avg: 517312.67 / Max: 525686Min: 517187 / Avg: 520764.67 / Max: 526446Min: 515073 / Avg: 520417 / Max: 527109

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast1234510152025SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 319.9019.7819.9119.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast1234510152025Min: 19.79 / Avg: 19.9 / Max: 19.97Min: 19.68 / Avg: 19.78 / Max: 19.83Min: 19.88 / Avg: 19.91 / Max: 19.96Min: 19.77 / Avg: 19.88 / Max: 19.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom1230.17510.35020.52530.70040.8755SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 30.7730.7740.778
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom123246810Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.78 / Max: 0.78

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 0.4Speed: 512340.19190.38380.57570.76760.9595SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 30.8480.8530.8480.853
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51234246810Min: 0.84 / Avg: 0.85 / Max: 0.86Min: 0.85 / Avg: 0.85 / Max: 0.85Min: 0.84 / Avg: 0.85 / Max: 0.85Min: 0.84 / Avg: 0.85 / Max: 0.86

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: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1234816243240SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 334.9935.0835.0635.19MIN: 30.29MIN: 32.66MIN: 30.53MIN: 32.21. (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: CPU1234816243240Min: 34.91 / Avg: 34.99 / Max: 35.07Min: 34.91 / Avg: 35.08 / Max: 35.23Min: 35 / Avg: 35.06 / Max: 35.15Min: 35.08 / Avg: 35.19 / Max: 35.311. (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: CPU123448121620SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 316.0016.0516.0916.06MIN: 14.3MIN: 14.16MIN: 14.31MIN: 14.231. (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: CPU123448121620Min: 15.86 / Avg: 16 / Max: 16.07Min: 15.83 / Avg: 16.05 / Max: 16.18Min: 15.71 / Avg: 16.09 / Max: 16.37Min: 15.77 / Avg: 16.06 / Max: 16.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0123246810SE +/- 0.083, N = 3SE +/- 0.074, N = 3SE +/- 0.094, N = 37.1987.2047.235MIN: 6.98 / MAX: 20.14MIN: 7 / MAX: 9.44MIN: 6.99 / MAX: 8.951. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.01233691215Min: 7.04 / Avg: 7.2 / Max: 7.3Min: 7.06 / Avg: 7.2 / Max: 7.29Min: 7.05 / Avg: 7.24 / Max: 7.371. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 WavPack12348121620SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.06, N = 514.3314.3614.391. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620Min: 14.28 / Avg: 14.33 / Max: 14.4Min: 14.34 / Avg: 14.36 / Max: 14.41Min: 14.24 / Avg: 14.39 / Max: 14.611. (CXX) g++ options: -rdynamic

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2123440M80M120M160M200MSE +/- 127171.79, N = 3SE +/- 442597.72, N = 3SE +/- 84515.21, N = 3SE +/- 170844.97, N = 32034668002042102672033128332032891001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2123440M80M120M160M200MMin: 203216100 / Avg: 203466800 / Max: 203629300Min: 203463300 / Avg: 204210266.67 / Max: 204995100Min: 203214800 / Avg: 203312833.33 / Max: 203481100Min: 203002000 / Avg: 203289100 / Max: 2035931001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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 +/- 0.48, N = 3SE +/- 0.33, N = 3SE +/- 0.19, N = 3131.20130.79130.61
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile12320406080100Min: 130.68 / Avg: 131.2 / Max: 132.15Min: 130.42 / Avg: 130.79 / Max: 131.45Min: 130.39 / Avg: 130.61 / Max: 130.98

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast12341.12052.2413.36154.4825.6025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.964.984.964.961. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast1234246810Min: 4.95 / Avg: 4.96 / Max: 4.96Min: 4.95 / Avg: 4.98 / Max: 5.01Min: 4.94 / Avg: 4.96 / Max: 4.98Min: 4.95 / Avg: 4.96 / Max: 4.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 +/- 0.08, N = 3SE +/- 0.29, N = 3SE +/- 0.45, N = 3SE +/- 0.26, N = 3126.30126.32126.14126.651. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123420406080100Min: 126.19 / Avg: 126.3 / Max: 126.46Min: 125.74 / Avg: 126.32 / Max: 126.68Min: 125.24 / Avg: 126.14 / Max: 126.65Min: 126.14 / Avg: 126.65 / Max: 126.921. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123450100150200250SE +/- 0.67, N = 3SE +/- 0.62, N = 3SE +/- 0.95, N = 3SE +/- 0.88, N = 3242.68242.71242.04242.98MIN: 179.52 / MAX: 416.5MIN: 179.42 / MAX: 421.76MIN: 179.53 / MAX: 426.81MIN: 179.71 / MAX: 424.731. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p12344080120160200Min: 241.34 / Avg: 242.68 / Max: 243.38Min: 241.48 / Avg: 242.71 / Max: 243.4Min: 240.24 / Avg: 242.04 / Max: 243.46Min: 241.34 / Avg: 242.98 / Max: 244.331. (CC) gcc options: -pthread

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed12342K4K6K8K10KSE +/- 19.50, N = 3SE +/- 7.28, N = 15SE +/- 8.77, N = 3SE +/- 7.53, N = 78727.98697.28710.58694.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed123415003000450060007500Min: 8695 / Avg: 8727.9 / Max: 8762.5Min: 8647.9 / Avg: 8697.2 / Max: 8736.8Min: 8699.2 / Avg: 8710.53 / Max: 8727.8Min: 8663.5 / Avg: 8694.29 / Max: 87281. (CC) gcc options: -O3

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K12341.1972.3943.5914.7885.985SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.315.325.305.301. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K1234246810Min: 5.28 / Avg: 5.31 / Max: 5.33Min: 5.31 / Avg: 5.32 / Max: 5.33Min: 5.29 / Avg: 5.3 / Max: 5.32Min: 5.28 / Avg: 5.3 / Max: 5.331. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark12360120180240300SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.47, N = 3281.21280.17280.40
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark12350100150200250Min: 280.41 / Avg: 281.21 / Max: 281.7Min: 279.28 / Avg: 280.17 / Max: 281.01Min: 279.92 / Avg: 280.4 / Max: 281.34

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: Thorough1231530456075SE +/- 0.23, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 365.1465.1264.901. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231326395265Min: 64.69 / Avg: 65.14 / Max: 65.47Min: 64.66 / Avg: 65.12 / Max: 65.45Min: 64.47 / Avg: 64.9 / Max: 65.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed12342K4K6K8K10KSE +/- 9.85, N = 3SE +/- 24.99, N = 3SE +/- 11.38, N = 12SE +/- 4.59, N = 158702.48704.08704.88674.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed123415003000450060007500Min: 8682.7 / Avg: 8702.4 / Max: 8712.7Min: 8668.4 / Avg: 8704.03 / Max: 8752.2Min: 8636.4 / Avg: 8704.83 / Max: 8774.5Min: 8636.2 / Avg: 8674.67 / Max: 8716.31. (CC) gcc options: -O3

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123450100150200250SE +/- 0.96, N = 3SE +/- 0.57, N = 3SE +/- 0.28, N = 3SE +/- 0.59, N = 3236.91237.53236.72237.31MIN: 214.92 / MAX: 258.69MIN: 210.44 / MAX: 259.41MIN: 211.76 / MAX: 257.76MIN: 215.04 / MAX: 257.781. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p12344080120160200Min: 235.38 / Avg: 236.91 / Max: 238.68Min: 236.4 / Avg: 237.53 / Max: 238.2Min: 236.16 / Avg: 236.72 / Max: 237.04Min: 236.23 / Avg: 237.31 / Max: 238.251. (CC) gcc options: -pthread

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 Second123430K60K90K120K150KSE +/- 82.97, N = 3SE +/- 203.24, N = 3SE +/- 29.09, N = 3SE +/- 108.15, N = 3146076.57146125.96146576.09146261.361. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second123430K60K90K120K150KMin: 145938.8 / Avg: 146076.57 / Max: 146225.55Min: 145719.49 / Avg: 146125.96 / Max: 146332.54Min: 146526.86 / Avg: 146576.09 / Max: 146627.57Min: 146045.37 / Avg: 146261.36 / Max: 146379.41. (CC) gcc options: -O2 -lrt" -lrt

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: Medium1233691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 39.869.839.841. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215Min: 9.83 / Avg: 9.86 / Max: 9.87Min: 9.78 / Avg: 9.83 / Max: 9.88Min: 9.8 / Avg: 9.84 / Max: 9.871. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12341632486480SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 370.2970.4170.5070.47MIN: 66.9 / MAX: 76.26MIN: 66.94 / MAX: 76.37MIN: 67.04 / MAX: 76.76MIN: 67.07 / MAX: 76.571. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12341428425670Min: 70.1 / Avg: 70.29 / Max: 70.48Min: 70.21 / Avg: 70.41 / Max: 70.62Min: 70.3 / Avg: 70.5 / Max: 70.77Min: 70.39 / Avg: 70.47 / Max: 70.631. (CC) gcc options: -pthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool123130K260K390K520K650KSE +/- 1649.33, N = 15SE +/- 1355.87, N = 3SE +/- 733.33, N = 3617890619487619727
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool123110K220K330K440K550KMin: 595781 / Avg: 617890.2 / Max: 621931Min: 616809 / Avg: 619487.33 / Max: 621194Min: 618994 / Avg: 619727.33 / Max: 621194

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 Compile12320406080100SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 382.1982.1182.35
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile1231632486480Min: 82.11 / Avg: 82.19 / Max: 82.23Min: 81.98 / Avg: 82.11 / Max: 82.2Min: 82.27 / Avg: 82.35 / Max: 82.42

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: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU123416003200480064008000SE +/- 17.90, N = 3SE +/- 8.54, N = 3SE +/- 14.23, N = 3SE +/- 27.70, N = 37519.827498.527499.597501.96MIN: 7453.06MIN: 7439.82MIN: 7425.51MIN: 7396.371. (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: CPU123413002600390052006500Min: 7495.27 / Avg: 7519.82 / Max: 7554.67Min: 7484.39 / Avg: 7498.52 / Max: 7513.89Min: 7471.23 / Avg: 7499.59 / Max: 7515.86Min: 7447.39 / Avg: 7501.96 / Max: 7537.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time12341.5M3M4.5M6M7.5MSE +/- 7119.37, N = 3SE +/- 24247.95, N = 3SE +/- 15347.30, N = 3SE +/- 6793.89, N = 369379836918794693647769235151. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time12341.2M2.4M3.6M4.8M6MMin: 6925409 / Avg: 6937982.67 / Max: 6950056Min: 6877860 / Avg: 6918794 / Max: 6961782Min: 6912295 / Avg: 6936477 / Max: 6964940Min: 6910065 / Avg: 6923514.67 / Max: 69319131. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast12343691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 38.938.958.948.951. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast12343691215Min: 8.91 / Avg: 8.93 / Max: 8.95Min: 8.92 / Avg: 8.95 / Max: 8.98Min: 8.93 / Avg: 8.94 / Max: 8.96Min: 8.92 / Avg: 8.95 / Max: 8.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: Exhaustive123120240360480600SE +/- 0.53, N = 3SE +/- 0.59, N = 3SE +/- 0.78, N = 3546.60546.99545.831. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123100200300400500Min: 545.54 / Avg: 546.6 / Max: 547.14Min: 545.81 / Avg: 546.99 / Max: 547.64Min: 544.27 / Avg: 545.83 / Max: 546.641. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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: regnety_400m123510152025SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 319.4719.4819.50MIN: 19.23 / MAX: 21.64MIN: 19.18 / MAX: 31.02MIN: 19.16 / MAX: 23.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025Min: 19.4 / Avg: 19.47 / Max: 19.6Min: 19.32 / Avg: 19.48 / Max: 19.68Min: 19.34 / Avg: 19.5 / Max: 19.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12341530456075SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 365.3165.2265.2665.23MIN: 43.39 / MAX: 153.22MIN: 43.37 / MAX: 150.79MIN: 43.24 / MAX: 150.77MIN: 43.38 / MAX: 150.041. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit12341326395265Min: 65.18 / Avg: 65.31 / Max: 65.43Min: 65.15 / Avg: 65.22 / Max: 65.29Min: 65.2 / Avg: 65.26 / Max: 65.37Min: 65.16 / Avg: 65.23 / Max: 65.291. (CC) gcc options: -pthread

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: yolov4-tiny1231326395265SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 356.7156.7456.78MIN: 53.66 / MAX: 69.53MIN: 54.12 / MAX: 68.2MIN: 53.9 / MAX: 66.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231122334455Min: 56.54 / Avg: 56.71 / Max: 56.98Min: 56.54 / Avg: 56.74 / Max: 57.04Min: 56.54 / Avg: 56.78 / Max: 571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium1234246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.138.128.128.121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium12343691215Min: 8.12 / Avg: 8.13 / Max: 8.13Min: 8.1 / Avg: 8.12 / Max: 8.13Min: 8.11 / Avg: 8.12 / Max: 8.13Min: 8.11 / Avg: 8.12 / Max: 8.131. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: resnet18123612182430SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 325.3025.3025.28MIN: 25 / MAX: 28.34MIN: 24.92 / MAX: 35.73MIN: 24.92 / MAX: 37.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123612182430Min: 25.28 / Avg: 25.3 / Max: 25.33Min: 25.21 / Avg: 25.3 / Max: 25.42Min: 25.24 / Avg: 25.28 / Max: 25.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium12340.4230.8461.2691.6922.115SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.881.881.881.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium1234246810Min: 1.87 / Avg: 1.88 / Max: 1.89Min: 1.87 / Avg: 1.88 / Max: 1.9Min: 1.87 / Avg: 1.88 / Max: 1.89Min: 1.87 / Avg: 1.88 / Max: 1.91. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: DistinctUserID12340.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.450.450.450.451. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123412345Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.451. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets12340.0990.1980.2970.3960.495SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.440.440.440.441. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123412345Min: 0.44 / Avg: 0.44 / Max: 0.44Min: 0.44 / Avg: 0.44 / Max: 0.44Min: 0.44 / Avg: 0.44 / Max: 0.44Min: 0.44 / Avg: 0.44 / Max: 0.441. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12340.07650.1530.22950.3060.3825SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.340.340.340.341. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom123412345Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.34 / Avg: 0.34 / Max: 0.341. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya12340.090.180.270.360.45SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.40.40.40.41. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123412345Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.41. (CXX) g++ options: -O3 -pthread

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 Speedup12340.450.91.351.82.2522221. (CC) gcc options: -fopenmp -O3 -lm

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.xz123612182430SE +/- 0.36, N = 20SE +/- 0.41, N = 20SE +/- 0.40, N = 1623.5923.4723.22
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz123612182430Min: 22.01 / Avg: 23.58 / Max: 28.11Min: 22.29 / Avg: 23.47 / Max: 28.21Min: 22.02 / Avg: 23.22 / Max: 28.45

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: alexnet123510152025SE +/- 0.42, N = 3SE +/- 0.81, N = 3SE +/- 0.96, N = 321.6022.4221.93MIN: 20.81 / MAX: 28.41MIN: 20.82 / MAX: 31.14MIN: 20.79 / MAX: 24.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123510152025Min: 21.01 / Avg: 21.6 / Max: 22.42Min: 20.99 / Avg: 22.42 / Max: 23.81Min: 20.97 / Avg: 21.93 / Max: 23.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123714212835SE +/- 1.26, N = 3SE +/- 1.12, N = 3SE +/- 1.18, N = 330.5030.5931.59MIN: 28.43 / MAX: 47.49MIN: 28.35 / MAX: 34.7MIN: 28.8 / MAX: 36.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123714212835Min: 28.65 / Avg: 30.5 / Max: 32.91Min: 28.52 / Avg: 30.59 / Max: 32.36Min: 29.24 / Avg: 31.59 / Max: 32.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.26, N = 3SE +/- 0.47, N = 3SE +/- 0.17, N = 312.0011.5912.33MIN: 11.15 / MAX: 17.47MIN: 10.26 / MAX: 15.27MIN: 11.34 / MAX: 17.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v212348121620Min: 11.55 / Avg: 12 / Max: 12.45Min: 10.68 / Avg: 11.59 / Max: 12.23Min: 12 / Avg: 12.33 / Max: 12.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET123400K800K1200K1600K2000KSE +/- 41912.87, N = 12SE +/- 16816.34, N = 10SE +/- 10868.80, N = 32002260.291837364.391826116.871. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET123300K600K900K1200K1500KMin: 1692047.38 / Avg: 2002260.29 / Max: 2136957.25Min: 1751817.88 / Avg: 1837364.39 / Max: 1908885.5Min: 1805169.62 / Avg: 1826116.87 / Max: 1841620.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH123200K400K600K800K1000KSE +/- 18152.00, N = 15SE +/- 14151.84, N = 15SE +/- 15401.38, N = 51120777.871134102.711150279.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH123200K400K600K800K1000KMin: 1006229.38 / Avg: 1120777.87 / Max: 1206465.62Min: 1034225.44 / Avg: 1134102.71 / Max: 1204857.88Min: 1101568.25 / Avg: 1150279.5 / Max: 11809021. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD123300K600K900K1200K1500KSE +/- 23486.62, N = 13SE +/- 29790.86, N = 13SE +/- 8565.40, N = 31625716.671613560.771575249.371. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD123300K600K900K1200K1500KMin: 1385263.12 / Avg: 1625716.67 / Max: 1697847.25Min: 1321003.88 / Avg: 1613560.77 / Max: 1718213Min: 1560511.75 / Avg: 1575249.37 / Max: 1590181.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption12380160240320400SE +/- 5.87, N = 15SE +/- 17.20, N = 3SE +/- 8.24, N = 3353.2339.3349.7
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption12360120180240300Min: 324 / Avg: 353.23 / Max: 374.5Min: 322 / Avg: 339.3 / Max: 373.7Min: 333.2 / Avg: 349.67 / Max: 358.4

104 Results Shown

Redis
Mobile Neural Network
NCNN
Cryptsetup
CloverLeaf
NCNN
Cryptsetup:
  AES-XTS 256b Encryption
  PBKDF2-sha512
  Twofish-XTS 256b Encryption
Redis
Cryptsetup
oneDNN
LZ4 Compression:
  9 - Compression Speed
  3 - Compression Speed
oneDNN
NCNN
Cryptsetup:
  Twofish-XTS 256b Decryption
  Twofish-XTS 512b Decryption
  Serpent-XTS 256b Decryption
Mobile Neural Network
rav1e
Mobile Neural Network
NCNN:
  CPU - squeezenet_ssd
  CPU - efficientnet-b0
Cryptsetup
oneDNN
SQLite Speedtest
Cryptsetup:
  Serpent-XTS 512b Decryption
  AES-XTS 512b Encryption
  AES-XTS 512b Decryption
LAMMPS Molecular Dynamics Simulator
LZ4 Compression
Opus Codec Encoding
Sunflow Rendering System
eSpeak-NG Speech Engine
LZ4 Compression
NCNN
Stockfish
oneDNN
Node.js V8 Web Tooling Benchmark
x265
NCNN
CP2K Molecular Dynamics
Mobile Neural Network
rav1e
oneDNN
NCNN
TNN
ASTC Encoder
NCNN
TNN
rav1e
Kvazaar
asmFish
Timed Godot Game Engine Compilation
IndigoBench
Build2
PHPBench
Kvazaar
IndigoBench
rav1e
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  IP Shapes 1D - f32 - CPU
Mobile Neural Network
WavPack Audio Encoding
Algebraic Multi-Grid Benchmark
Timed FFmpeg Compilation
Kvazaar
Timed HMMer Search
dav1d
LZ4 Compression
x265
Numpy Benchmark
ASTC Encoder
LZ4 Compression
dav1d
Coremark
ASTC Encoder
dav1d
Cryptsetup
Timed Eigen Compilation
oneDNN
Crafty
Kvazaar
ASTC Encoder
NCNN
dav1d
NCNN
Kvazaar
NCNN
Kvazaar
simdjson:
  DistinctUserID
  PartialTweets
  LargeRand
  Kostya
CLOMP
Unpacking Firefox
NCNN:
  CPU - alexnet
  CPU - googlenet
  CPU-v2-v2 - mobilenet-v2
Redis:
  GET
  LPUSH
  SADD
Cryptsetup