Core i7 9750H EOY

Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2101014-HA-COREI797566&gru&rdt.

Core i7 9750H EOYProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRun 1Run 2Run 3Run 4Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads)Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS)Intel Cannon Lake PCH32GB1000GB Samsung SSD 970 EVO Plus 1TBIntel UHD 630 3GB (1150MHz)Realtek ALC1220Realtek RTL8111/8168/8411 + Intel-AC 9560Ubuntu 20.045.7.0-999-generic (x86_64) 20200530GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.41.2.131GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Core i7 9750H EOYvkfft: cryptsetup: PBKDF2-sha512cryptsetup: PBKDF2-whirlpoolcoremark: CoreMark Size 666 - Iterations Per Secondcryptsetup: AES-XTS 256b Encryptioncryptsetup: AES-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Twofish-XTS 512b Decryptionphpbench: PHP Benchmark Suiteclomp: Static OMP Speedupbrl-cad: VGR Performance Metricvkresample: 2x - Doublevkresample: 2x - Singleonednn: 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 - CPUncnn: 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_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mhmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbuild-ffmpeg: Time To Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-ogg: WAV To Oggencode-opus: WAV To Opus Encodesqlite-speedtest: Timed Time - Size 1,000encode-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xzRun 1Run 2Run 3Run 413211828912780585213456.1022932359.82307.6811.0828.0442.54422104.72078.3815.1830.4446.1440.57038562.7599471008.564461.6296.801669.774023.226762.7707917.28579.5949112.801916.107010.028685.752576341.743427.626362.643421.604.100146403.933457.325.7358623.175.864.757.175.278.352.2618.0769.5218.0215.0137.4633.3724.2216.1823.436.555.367.835.518.692.4018.8069.7818.5515.4237.7133.5124.4216.71117.23110.489101.283214.40974.23011.05120.1928.57462.07114.50818.88213211778523760573211631.5766452358.82312.2807.6824.4430.8442.32064.62074.2812.7823.5426.4445.57243602.7602531001.202464.4046.929489.797013.232312.7686417.27129.7346312.788116.09799.867135.783706404.443454.226382.083443.814.112676328.703418.995.7745023.055.884.727.215.248.332.2718.0269.1917.9114.9937.4333.1924.1616.1223.666.104.987.395.248.392.3018.1569.4318.1415.1537.9833.8624.7916.28117.14310.729101.729214.83675.39111.42220.2348.57462.69114.50218.87313191829986781744210367.5240322366.92314.6814.8830.8445.2447.32076.42082.9813.8830.9446.2448.47225382.7595691005.070463.0506.803289.797083.229452.7760417.23499.5913212.821616.09959.897715.820496368.253410.086383.523424.774.107136369.953440.225.8098323.135.824.767.185.298.382.2618.1369.4818.0515.0037.5433.2124.2416.1923.396.305.127.415.368.652.3818.8269.8618.5115.4537.6633.4724.3316.61117.18110.529102.076214.17875.00610.96920.1678.56361.70514.52818.93213221831049764849215746.3204852357.42312.5809.6822.9433.6438.52115.12078.9809.3824.8435.4436.47452752.7595411014.454464.9616.794289.911243.223572.7644617.33339.5395312.560816.109010.15565.783366382.783445.596389.883415.634.087846377.373444.935.7852223.246.074.917.235.218.312.2918.0169.3417.9915.0337.4833.4224.2316.1623.346.565.377.835.498.722.4118.8670.0218.5415.4837.7333.4524.3816.76117.40410.607102.124214.85874.26211.62420.4248.59062.39214.51018.855OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1Run 1Run 2Run 3Run 430060090012001500SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.88, N = 313211321131913221. (CXX) g++ options: -O3 -pthread

Cryptsetup

PBKDF2-sha512

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Run 1Run 2Run 3Run 4400K800K1200K1600K2000KSE +/- 1062.67, N = 3SE +/- 15473.88, N = 3SE +/- 3199.33, N = 3SE +/- 2822.26, N = 31828912177852318299861831049

Cryptsetup

PBKDF2-whirlpool

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolRun 1Run 2Run 3Run 4200K400K600K800K1000KSE +/- 1689.92, N = 3SE +/- 736.33, N = 3SE +/- 1028.82, N = 3SE +/- 18853.30, N = 3780585760573781744764849

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRun 1Run 2Run 3Run 450K100K150K200K250KSE +/- 2550.57, N = 3SE +/- 428.07, N = 3SE +/- 1572.50, N = 3SE +/- 1011.06, N = 3213456.10211631.58210367.52215746.321. (CC) gcc options: -O2 -lrt" -lrt

Cryptsetup

AES-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionRun 1Run 2Run 3Run 45001000150020002500SE +/- 9.61, N = 3SE +/- 9.33, N = 3SE +/- 5.73, N = 3SE +/- 9.78, N = 32359.82358.82366.92357.4

Cryptsetup

AES-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionRun 1Run 2Run 3Run 45001000150020002500SE +/- 8.91, N = 3SE +/- 6.84, N = 3SE +/- 2.97, N = 3SE +/- 7.50, N = 32307.62312.22314.62312.5

Cryptsetup

Serpent-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionRun 1Run 2Run 3Run 42004006008001000SE +/- 3.15, N = 3SE +/- 3.18, N = 3SE +/- 0.85, N = 3SE +/- 4.68, N = 3811.0807.6814.8809.6

Cryptsetup

Serpent-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionRun 1Run 2Run 3Run 42004006008001000SE +/- 0.81, N = 3SE +/- 2.80, N = 3SE +/- 1.31, N = 3SE +/- 6.17, N = 3828.0824.4830.8822.9

Cryptsetup

Twofish-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionRun 1Run 2Run 3Run 4100200300400500SE +/- 5.35, N = 3SE +/- 10.07, N = 3SE +/- 4.65, N = 3SE +/- 9.61, N = 3442.5430.8445.2433.6

Cryptsetup

Twofish-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionRun 1Run 2Run 3Run 4100200300400500SE +/- 7.84, N = 3SE +/- 6.85, N = 3SE +/- 6.93, N = 3SE +/- 8.35, N = 3442.0442.3447.3438.5

Cryptsetup

AES-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionRun 1Run 2Run 3Run 45001000150020002500SE +/- 7.18, N = 3SE +/- 38.22, N = 3SE +/- 46.45, N = 3SE +/- 7.16, N = 32104.72064.62076.42115.1

Cryptsetup

AES-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionRun 1Run 2Run 3Run 4400800120016002000SE +/- 7.85, N = 3SE +/- 4.43, N = 3SE +/- 2.92, N = 3SE +/- 8.81, N = 32078.32074.22082.92078.9

Cryptsetup

Serpent-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionRun 1Run 2Run 3Run 42004006008001000SE +/- 1.12, N = 3SE +/- 1.43, N = 3SE +/- 0.48, N = 3SE +/- 3.44, N = 3815.1812.7813.8809.3

Cryptsetup

Serpent-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionRun 1Run 2Run 3Run 42004006008001000SE +/- 1.59, N = 3SE +/- 4.94, N = 3SE +/- 0.97, N = 3SE +/- 4.45, N = 3830.4823.5830.9824.8

Cryptsetup

Twofish-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionRun 1Run 2Run 3Run 4100200300400500SE +/- 2.54, N = 3SE +/- 11.67, N = 3SE +/- 3.92, N = 3SE +/- 10.19, N = 3446.1426.4446.2435.4

Cryptsetup

Twofish-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b DecryptionRun 1Run 2Run 3Run 4100200300400500SE +/- 10.81, N = 3SE +/- 4.74, N = 3SE +/- 6.04, N = 3SE +/- 8.57, N = 3440.5445.5448.4436.4

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteRun 1Run 2Run 3Run 4160K320K480K640K800KSE +/- 10003.74, N = 3SE +/- 3349.76, N = 3SE +/- 2965.05, N = 3SE +/- 1307.68, N = 3703856724360722538745275

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupRun 1Run 2Run 3Run 40.60751.2151.82252.433.0375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.72.72.72.71. (CC) gcc options: -fopenmp -O3 -lm

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricRun 1Run 2Run 3Run 413K26K39K52K65K599476025359569595411. (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

VkResample

Upscale: 2x - Precision: Double

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleRun 1Run 2Run 3Run 42004006008001000SE +/- 4.15, N = 3SE +/- 0.13, N = 3SE +/- 2.73, N = 3SE +/- 0.88, N = 31008.561001.201005.071014.451. (CXX) g++ options: -O3 -pthread

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRun 1Run 2Run 3Run 4100200300400500SE +/- 0.13, N = 3SE +/- 0.33, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3461.63464.40463.05464.961. (CXX) g++ options: -O3 -pthread

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 4246810SE +/- 0.01210, N = 3SE +/- 0.01289, N = 3SE +/- 0.05391, N = 14SE +/- 0.01427, N = 36.801666.929486.803286.79428MIN: 5.74MIN: 5.87MIN: 5.3MIN: 5.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 43691215SE +/- 0.02638, N = 3SE +/- 0.01052, N = 3SE +/- 0.01833, N = 3SE +/- 0.00660, N = 39.774029.797019.797089.91124MIN: 9.6MIN: 9.59MIN: 9.63MIN: 9.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 40.72731.45462.18192.90923.6365SE +/- 0.00484, N = 3SE +/- 0.01078, N = 3SE +/- 0.00749, N = 3SE +/- 0.00785, N = 33.226763.232313.229453.22357MIN: 2.62MIN: 2.63MIN: 2.62MIN: 2.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 40.62461.24921.87382.49843.123SE +/- 0.00676, N = 3SE +/- 0.00726, N = 3SE +/- 0.00532, N = 3SE +/- 0.00419, N = 32.770792.768642.776042.76446MIN: 2.62MIN: 2.61MIN: 2.62MIN: 2.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 448121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 317.2917.2717.2317.33MIN: 17.1MIN: 17.11MIN: 17.11MIN: 17.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 43691215SE +/- 0.06881, N = 3SE +/- 0.01778, N = 3SE +/- 0.10858, N = 3SE +/- 0.07559, N = 39.594919.734639.591329.53953MIN: 8.55MIN: 8.39MIN: 8.53MIN: 8.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 43691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 1512.8012.7912.8212.56MIN: 10.51MIN: 10.49MIN: 10.53MIN: 10.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 448121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 316.1116.1016.1016.11MIN: 15.86MIN: 15.78MIN: 15.79MIN: 15.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 43691215SE +/- 0.09774, N = 3SE +/- 0.03232, N = 3SE +/- 0.02224, N = 3SE +/- 0.02385, N = 310.028689.867139.8977110.15560MIN: 7.81MIN: 7.76MIN: 7.78MIN: 8.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 41.30962.61923.92885.23846.548SE +/- 0.00709, N = 3SE +/- 0.05534, N = 12SE +/- 0.00647, N = 3SE +/- 0.00722, N = 35.752575.783705.820495.78336MIN: 4.73MIN: 4.72MIN: 4.73MIN: 4.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 414002800420056007000SE +/- 26.71, N = 3SE +/- 12.16, N = 3SE +/- 7.79, N = 3SE +/- 20.81, N = 36341.746404.446368.256382.78MIN: 6254.75MIN: 6340.77MIN: 6328.69MIN: 6299.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 47001400210028003500SE +/- 7.89, N = 3SE +/- 23.16, N = 3SE +/- 9.95, N = 3SE +/- 5.51, N = 33427.623454.223410.083445.59MIN: 3392.93MIN: 3391.1MIN: 3353.35MIN: 3407.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 414002800420056007000SE +/- 12.24, N = 3SE +/- 25.22, N = 3SE +/- 38.17, N = 3SE +/- 19.20, N = 36362.646382.086383.526389.88MIN: 6320.02MIN: 6294.61MIN: 6259.53MIN: 6310.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 47001400210028003500SE +/- 14.67, N = 3SE +/- 8.62, N = 3SE +/- 10.73, N = 3SE +/- 3.92, N = 33421.603443.813424.773415.63MIN: 3374.62MIN: 3400.63MIN: 3395.01MIN: 3390.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURun 1Run 2Run 3Run 40.92541.85082.77623.70164.627SE +/- 0.00387, N = 3SE +/- 0.00554, N = 3SE +/- 0.01007, N = 3SE +/- 0.00557, N = 34.100144.112674.107134.08784MIN: 4.01MIN: 4.01MIN: 4.01MIN: 41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURun 1Run 2Run 3Run 414002800420056007000SE +/- 18.98, N = 3SE +/- 13.20, N = 3SE +/- 9.29, N = 3SE +/- 17.19, N = 36403.936328.706369.956377.37MIN: 6326.05MIN: 6288.87MIN: 6301.48MIN: 6330.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURun 1Run 2Run 3Run 47001400210028003500SE +/- 20.71, N = 3SE +/- 10.03, N = 3SE +/- 4.57, N = 3SE +/- 1.10, N = 33457.323418.993440.223444.93MIN: 3398.06MIN: 3391.87MIN: 3388.24MIN: 3415.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 3Run 41.30722.61443.92165.22886.536SE +/- 0.01607, N = 3SE +/- 0.01018, N = 3SE +/- 0.00559, N = 3SE +/- 0.00883, N = 35.735865.774505.809835.78522MIN: 4.84MIN: 4.85MIN: 4.89MIN: 4.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetRun 1Run 2Run 3Run 4612182430SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 323.1723.0523.1323.24MIN: 22.8 / MAX: 26.58MIN: 22.78 / MAX: 26.55MIN: 22.78 / MAX: 26.54MIN: 22.8 / MAX: 34.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Run 1Run 2Run 3Run 4246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 35.865.885.826.07MIN: 5.72 / MAX: 7.36MIN: 5.67 / MAX: 17.36MIN: 5.67 / MAX: 8.89MIN: 5.67 / MAX: 17.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Run 1Run 2Run 3Run 41.10482.20963.31444.41925.524SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.21, N = 34.754.724.764.91MIN: 4.65 / MAX: 6.65MIN: 4.6 / MAX: 7.3MIN: 4.65 / MAX: 6.29MIN: 4.62 / MAX: 7.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Run 1Run 2Run 3Run 4246810SE +/- 0.35, N = 3SE +/- 0.37, N = 3SE +/- 0.35, N = 3SE +/- 0.39, N = 37.177.217.187.23MIN: 6.36 / MAX: 13.96MIN: 6.38 / MAX: 12.35MIN: 6.43 / MAX: 20.32MIN: 6.39 / MAX: 9.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetRun 1Run 2Run 3Run 41.19032.38063.57094.76125.9515SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.33, N = 3SE +/- 0.27, N = 35.275.245.295.21MIN: 4.62 / MAX: 9.13MIN: 4.6 / MAX: 7.38MIN: 4.57 / MAX: 17.96MIN: 4.62 / MAX: 7.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Run 1Run 2Run 3Run 4246810SE +/- 0.36, N = 3SE +/- 0.34, N = 3SE +/- 0.35, N = 3SE +/- 0.33, N = 38.358.338.388.31MIN: 7.58 / MAX: 10.85MIN: 7.59 / MAX: 12.2MIN: 7.57 / MAX: 12.25MIN: 7.57 / MAX: 10.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceRun 1Run 2Run 3Run 40.51531.03061.54592.06122.5765SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 32.262.272.262.29MIN: 1.99 / MAX: 2.47MIN: 1.99 / MAX: 12.5MIN: 1.99 / MAX: 2.47MIN: 1.99 / MAX: 13.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetRun 1Run 2Run 3Run 448121620SE +/- 0.77, N = 3SE +/- 0.76, N = 3SE +/- 0.69, N = 3SE +/- 0.70, N = 318.0718.0218.1318.01MIN: 16.36 / MAX: 29.81MIN: 16.35 / MAX: 32.15MIN: 16.51 / MAX: 22.3MIN: 16.42 / MAX: 22.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Run 1Run 2Run 3Run 41530456075SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.63, N = 369.5269.1969.4869.34MIN: 67.25 / MAX: 80.64MIN: 67.17 / MAX: 78.76MIN: 67.44 / MAX: 83.1MIN: 67.44 / MAX: 82.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Run 1Run 2Run 3Run 448121620SE +/- 0.54, N = 3SE +/- 0.54, N = 3SE +/- 0.48, N = 3SE +/- 0.51, N = 318.0217.9118.0517.99MIN: 16.77 / MAX: 28.42MIN: 16.71 / MAX: 23.14MIN: 16.77 / MAX: 29.51MIN: 16.77 / MAX: 20.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetRun 1Run 2Run 3Run 448121620SE +/- 0.38, N = 3SE +/- 0.35, N = 3SE +/- 0.35, N = 3SE +/- 0.36, N = 315.0114.9915.0015.03MIN: 14.18 / MAX: 15.71MIN: 14.24 / MAX: 24.74MIN: 14.24 / MAX: 18.29MIN: 14.24 / MAX: 25.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Run 1Run 2Run 3Run 4918273645SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 337.4637.4337.5437.48MIN: 36.82 / MAX: 40.77MIN: 36.5 / MAX: 51.46MIN: 36.85 / MAX: 49.57MIN: 36.87 / MAX: 50.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyRun 1Run 2Run 3Run 4816243240SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 333.3733.1933.2133.42MIN: 32.64 / MAX: 55.85MIN: 32.66 / MAX: 46.16MIN: 32.65 / MAX: 40.32MIN: 32.68 / MAX: 44.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdRun 1Run 2Run 3Run 4612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 324.2224.1624.2424.23MIN: 23.95 / MAX: 34.27MIN: 24.01 / MAX: 27.38MIN: 24 / MAX: 27.39MIN: 24.02 / MAX: 26.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mRun 1Run 2Run 3Run 448121620SE +/- 0.54, N = 3SE +/- 0.49, N = 3SE +/- 0.54, N = 3SE +/- 0.44, N = 316.1816.1216.1916.16MIN: 14.99 / MAX: 20.99MIN: 15.04 / MAX: 28.1MIN: 14.99 / MAX: 19.01MIN: 15.08 / MAX: 27.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetRun 1Run 2Run 3Run 4612182430SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 323.4323.6623.3923.34MIN: 21.91 / MAX: 34.62MIN: 22.8 / MAX: 37.21MIN: 22.81 / MAX: 35.57MIN: 22.75 / MAX: 36.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Run 1Run 2Run 3Run 4246810SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 36.556.106.306.56MIN: 6.32 / MAX: 9.95MIN: 5.68 / MAX: 8.75MIN: 5.74 / MAX: 9.41MIN: 6.33 / MAX: 10.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Run 1Run 2Run 3Run 41.20832.41663.62494.83326.0415SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 35.364.985.125.37MIN: 5.24 / MAX: 7.47MIN: 4.63 / MAX: 7.4MIN: 4.61 / MAX: 6.87MIN: 5.24 / MAX: 7.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2Run 1Run 2Run 3Run 4246810SE +/- 0.04, N = 3SE +/- 0.41, N = 3SE +/- 0.44, N = 3SE +/- 0.05, N = 37.837.397.417.83MIN: 7.61 / MAX: 9.86MIN: 6.41 / MAX: 21.93MIN: 6.45 / MAX: 19.52MIN: 7.55 / MAX: 11.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetRun 1Run 2Run 3Run 41.23982.47963.71944.95926.199SE +/- 0.05, N = 3SE +/- 0.30, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 35.515.245.365.49MIN: 5.16 / MAX: 19.28MIN: 4.59 / MAX: 7.39MIN: 4.65 / MAX: 9.92MIN: 5.29 / MAX: 7.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0Run 1Run 2Run 3Run 4246810SE +/- 0.04, N = 3SE +/- 0.39, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 38.698.398.658.72MIN: 8.49 / MAX: 9.23MIN: 7.55 / MAX: 20.09MIN: 8.49 / MAX: 12.07MIN: 8.4 / MAX: 21.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceRun 1Run 2Run 3Run 40.54231.08461.62692.16922.7115SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.402.302.382.41MIN: 2.34 / MAX: 3.15MIN: 2.03 / MAX: 3.94MIN: 2.33 / MAX: 2.46MIN: 2.35 / MAX: 2.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetRun 1Run 2Run 3Run 4510152025SE +/- 0.08, N = 3SE +/- 0.81, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 318.8018.1518.8218.86MIN: 18.57 / MAX: 22.25MIN: 16.4 / MAX: 21.94MIN: 17.95 / MAX: 30.43MIN: 17.89 / MAX: 30.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Run 1Run 2Run 3Run 41632486480SE +/- 0.11, N = 3SE +/- 0.91, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 369.7869.4369.8670.02MIN: 69.46 / MAX: 81.23MIN: 67.3 / MAX: 104.68MIN: 69.45 / MAX: 91.5MIN: 69.53 / MAX: 93.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18Run 1Run 2Run 3Run 4510152025SE +/- 0.05, N = 3SE +/- 0.60, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 318.5518.1418.5118.54MIN: 18.17 / MAX: 40.98MIN: 16.78 / MAX: 30.17MIN: 18.31 / MAX: 22.04MIN: 18.33 / MAX: 21.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetRun 1Run 2Run 3Run 448121620SE +/- 0.03, N = 3SE +/- 0.42, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 315.4215.1515.4515.48MIN: 15.21 / MAX: 26.35MIN: 14.28 / MAX: 24.62MIN: 15.23 / MAX: 27.92MIN: 15.27 / MAX: 18.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Run 1Run 2Run 3Run 4918273645SE +/- 0.11, N = 3SE +/- 0.29, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 337.7137.9837.6637.73MIN: 36.79 / MAX: 49.82MIN: 33.68 / MAX: 49.65MIN: 36.88 / MAX: 61.06MIN: 36.87 / MAX: 42.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyRun 1Run 2Run 3Run 4816243240SE +/- 0.06, N = 3SE +/- 0.34, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 333.5133.8633.4733.45MIN: 33.23 / MAX: 44.41MIN: 32.71 / MAX: 44.51MIN: 33.21 / MAX: 44MIN: 32.66 / MAX: 46.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdRun 1Run 2Run 3Run 4612182430SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 324.4224.7924.3324.38MIN: 24.15 / MAX: 35.82MIN: 24.43 / MAX: 36MIN: 23.89 / MAX: 35.37MIN: 23.95 / MAX: 35.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mRun 1Run 2Run 3Run 448121620SE +/- 0.13, N = 3SE +/- 0.59, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 316.7116.2816.6116.76MIN: 16.43 / MAX: 19.77MIN: 14.98 / MAX: 19.89MIN: 16.26 / MAX: 20.92MIN: 16.44 / MAX: 19.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRun 1Run 2Run 3Run 4306090120150SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3117.23117.14117.18117.401. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARun 1Run 2Run 3Run 43691215SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 310.4910.7310.5310.611. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRun 1Run 2Run 3Run 420406080100SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.40, N = 3SE +/- 0.27, N = 3101.28101.73102.08102.12

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRun 1Run 2Run 3Run 450100150200250SE +/- 0.35, N = 3SE +/- 0.50, N = 3SE +/- 0.25, N = 3SE +/- 0.31, N = 3214.41214.84214.18214.86

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileRun 1Run 2Run 3Run 420406080100SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 374.2375.3975.0174.26

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APERun 1Run 2Run 3Run 43691215SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.09, N = 511.0511.4210.9711.621. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Ogg Audio Encoding

WAV To Ogg

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To OggRun 1Run 2Run 3Run 4510152025SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 320.1920.2320.1720.421. (CC) gcc options: -O2 -ffast-math -fsigned-char

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeRun 1Run 2Run 3Run 4246810SE +/- 0.002, N = 5SE +/- 0.003, N = 5SE +/- 0.003, N = 5SE +/- 0.011, N = 58.5748.5748.5638.5901. (CXX) g++ options: -fvisibility=hidden -logg -lm

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Run 1Run 2Run 3Run 41428425670SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 362.0762.6961.7162.391. (CC) gcc options: -O2 -ldl -lz -lpthread

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackRun 1Run 2Run 3Run 448121620SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 5SE +/- 0.00, N = 514.5114.5014.5314.511. (CXX) g++ options: -rdynamic

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzRun 1Run 2Run 3Run 4510152025SE +/- 0.06, N = 4SE +/- 0.02, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 418.8818.8718.9318.86

Phoronix Test Suite v10.8.5