Core i5 10600K 2021

Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2101018-HA-COREI510692&grt&sor.

Core i5 10600K 2021ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRun 1Run 2Run 3Run 4Run 5Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)ASUS PRIME Z490M-PLUS (1001 BIOS)Intel Comet Lake PCH32GBSamsung SSD 970 EVO 500GBASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDLG Ultra HDIntelUbuntu 20.045.9.0-050900daily20201012-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 9.3.0ext43840x2160OpenBenchmarking.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: 0xe0Security Details- itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i5 10600K 2021build2: Time To Compileclomp: Static OMP Speedupcryptsetup: PBKDF2-sha512cryptsetup: PBKDF2-whirlpoolcryptsetup: 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 Decryptionencode-ape: WAV To APEncnn: 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_400monednn: 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 - CPUencode-opus: WAV To Opus Encodebuild-eigen: Time To Compilebuild-ffmpeg: Time To Compileunpack-firefox: firefox-84.0.source.tar.xzvkmark: 1920 x 1080vkmark: 1920 x 1200vkmark: 2560 x 1440vkmark: 3840 x 2160vkresample: 2x - Doublevkresample: 2x - Singleencode-wavpack: WAV To WavPackRun 1Run 2Run 3Run 4Run 5151.2492.919526608379674165.74171.6902.9883.9496.0497.73418.43418.0905.6884.3496.3497.310.49818.925.384.335.574.416.961.7314.6758.6114.7312.4729.3727.4019.7712.5018.715.414.365.614.446.981.7514.6858.3314.7612.3629.2527.0819.5312.664.277967.464092.018292.3132315.21906.045088.4528413.88936.067953.997283998.242399.133996.332400.703.432413999.692400.582.963377.71468.96170.37116.105815731476219889.544378.00413.489152.4293.019575228370784175.54187.4905.4885.3496.9497.93425.23430.0905.5885.4496.7497.710.51718.835.424.395.594.426.981.7514.6958.4014.7712.3629.3027.1719.5812.6018.685.414.355.574.436.971.7414.6658.3014.7612.3229.2427.0519.5512.564.273858.161442.013862.3114315.31186.055088.4488613.90696.041944.003924001.982414.274003.512407.833.437804003.092408.992.956007.71969.28270.26216.026814726474216921.459386.43513.508153.8362.819587368370754192.14195.7906.6885.7497.0498.43437.43441.6904.7885.7497.1498.210.49718.795.454.385.614.457.011.7514.7458.2814.7712.3629.3127.1719.6212.7018.745.414.355.584.46.981.7414.7058.3514.7612.3429.2727.1119.5612.634.295248.090952.020592.3148615.28496.069658.4496813.88826.065133.990324003.532402.064002.932408.333.438324001.782409.572.956297.73369.18670.40216.018815725473216922.846384.60013.481152.9082.819527098379674219.84222.0906.7886.5497.6498.63446.73453.6907.4886.1497.4498.210.53818.755.434.405.624.457.021.7514.6858.3214.7912.3329.2727.0819.6012.7918.795.424.345.574.416.931.7414.7258.3214.8312.3629.2927.0819.5312.604.291988.069592.021472.3263115.29106.052078.4513213.95136.117163.997374000.592408.344001.982406.663.443044000.062410.792.958997.72068.89670.44615.972813727474216921.735386.57313.4812.94.303818.074602.019572.3235215.31596.044278.4463413.92506.081683.996634003.732404.064003.172404.973.438724002.252412.102.9586670.305814725473216921.461388.063OpenBenchmarking.org

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRun 1Run 2Run 4Run 3306090120150SE +/- 0.23, N = 3SE +/- 1.06, N = 3SE +/- 0.61, N = 3SE +/- 0.32, N = 3151.25152.43152.91153.84

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupRun 2Run 5Run 1Run 4Run 30.6751.352.0252.73.375SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 33.02.92.92.82.81. (CC) gcc options: -fopenmp -O3 -lm

Cryptsetup

PBKDF2-sha512

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Run 3Run 2Run 4Run 1400K800K1200K1600K2000KSE +/- 1219.00, N = 3SE +/- 2433.33, N = 3SE +/- 7245.67, N = 3SE +/- 2099.25, N = 31958736195752219527091952660

Cryptsetup

PBKDF2-whirlpool

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolRun 4Run 1Run 2Run 3200K400K600K800K1000KSE +/- 446.67, N = 3SE +/- 446.67, N = 3SE +/- 1177.68, N = 3SE +/- 445.00, N = 3837967837967837078837075

Cryptsetup

AES-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionRun 4Run 3Run 2Run 19001800270036004500SE +/- 16.91, N = 3SE +/- 21.60, N = 3SE +/- 20.43, N = 3SE +/- 9.43, N = 34219.84192.14175.54165.7

Cryptsetup

AES-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionRun 4Run 3Run 2Run 19001800270036004500SE +/- 15.96, N = 3SE +/- 20.84, N = 3SE +/- 19.64, N = 3SE +/- 10.13, N = 34222.04195.74187.44171.6

Cryptsetup

Serpent-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionRun 4Run 3Run 2Run 12004006008001000SE +/- 1.08, N = 3SE +/- 1.57, N = 3SE +/- 0.64, N = 3SE +/- 1.96, N = 3906.7906.6905.4902.9

Cryptsetup

Serpent-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionRun 4Run 3Run 2Run 12004006008001000SE +/- 1.22, N = 3SE +/- 1.91, N = 3SE +/- 0.87, N = 3SE +/- 1.47, N = 3886.5885.7885.3883.9

Cryptsetup

Twofish-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionRun 4Run 3Run 2Run 1110220330440550SE +/- 0.30, N = 3SE +/- 0.62, N = 3SE +/- 0.23, N = 3SE +/- 0.62, N = 3497.6497.0496.9496.0

Cryptsetup

Twofish-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionRun 4Run 3Run 2Run 1110220330440550SE +/- 0.32, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3498.6498.4497.9497.7

Cryptsetup

AES-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionRun 4Run 3Run 2Run 17001400210028003500SE +/- 10.04, N = 3SE +/- 13.74, N = 3SE +/- 12.68, N = 3SE +/- 7.41, N = 33446.73437.43425.23418.4

Cryptsetup

AES-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionRun 4Run 3Run 2Run 17001400210028003500SE +/- 10.34, N = 3SE +/- 14.10, N = 3SE +/- 14.48, N = 3SE +/- 5.75, N = 33453.63441.63430.03418.0

Cryptsetup

Serpent-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionRun 4Run 1Run 2Run 32004006008001000SE +/- 0.90, N = 2SE +/- 0.58, N = 3SE +/- 1.20, N = 2907.4905.6905.5904.7

Cryptsetup

Serpent-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionRun 4Run 3Run 2Run 12004006008001000SE +/- 0.92, N = 3SE +/- 1.72, N = 3SE +/- 1.29, N = 3SE +/- 1.13, N = 3886.1885.7885.4884.3

Cryptsetup

Twofish-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionRun 4Run 3Run 2Run 1110220330440550SE +/- 0.26, N = 3SE +/- 0.37, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 3497.4497.1496.7496.3

Cryptsetup

Twofish-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b DecryptionRun 4Run 3Run 2Run 1110220330440550SE +/- 0.27, N = 3SE +/- 0.36, N = 3SE +/- 0.37, N = 3SE +/- 0.17, N = 3498.2498.2497.7497.3

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APERun 3Run 1Run 2Run 43691215SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 510.5010.5010.5210.541. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetRun 4Run 3Run 2Run 1510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 318.7518.7918.8318.92MIN: 18.64 / MAX: 19.38MIN: 18.66 / MAX: 29.96MIN: 18.63 / MAX: 29.83MIN: 18.63 / MAX: 21.481. (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 4Run 31.22632.45263.67894.90526.1315SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 35.385.425.435.45MIN: 5.26 / MAX: 7.22MIN: 5.26 / MAX: 7.6MIN: 5.27 / MAX: 6.85MIN: 5.31 / MAX: 26.521. (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 3Run 2Run 40.991.982.973.964.95SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 34.334.384.394.40MIN: 4.28 / MAX: 6.45MIN: 4.31 / MAX: 5.74MIN: 4.32 / MAX: 6.93MIN: 4.28 / MAX: 5.851. (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 41.26452.5293.79355.0586.3225SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.575.595.615.62MIN: 5.51 / MAX: 7.11MIN: 5.53 / MAX: 7.15MIN: 5.55 / MAX: 7.02MIN: 5.54 / MAX: 7.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetRun 1Run 2Run 3Run 41.00132.00263.00394.00525.0065SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 34.414.424.454.45MIN: 4.37 / MAX: 5.85MIN: 4.35 / MAX: 5.9MIN: 4.32 / MAX: 5.94MIN: 4.36 / MAX: 6.071. (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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 36.966.987.017.02MIN: 6.9 / MAX: 8.52MIN: 6.92 / MAX: 8.91MIN: 6.92 / MAX: 9.28MIN: 6.91 / MAX: 9.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceRun 1Run 2Run 3Run 40.39380.78761.18141.57521.969SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.731.751.751.75MIN: 1.71 / MAX: 1.81MIN: 1.73 / MAX: 1.81MIN: 1.72 / MAX: 1.8MIN: 1.71 / MAX: 1.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetRun 1Run 4Run 2Run 348121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 314.6714.6814.6914.74MIN: 14.57 / MAX: 15.94MIN: 14.57 / MAX: 15.08MIN: 14.57 / MAX: 16.9MIN: 14.58 / MAX: 16.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Run 3Run 4Run 2Run 11326395265SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.32, N = 358.2858.3258.4058.61MIN: 58.08 / MAX: 59.25MIN: 58.17 / MAX: 68.4MIN: 58.26 / MAX: 60.61MIN: 58.19 / MAX: 60.411. (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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 314.7314.7714.7714.79MIN: 14.66 / MAX: 15.16MIN: 14.67 / MAX: 16.15MIN: 14.66 / MAX: 24.85MIN: 14.68 / MAX: 24.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetRun 4Run 2Run 3Run 13691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 312.3312.3612.3612.47MIN: 12.26 / MAX: 14.31MIN: 12.28 / MAX: 20.73MIN: 12.29 / MAX: 14.58MIN: 12.29 / MAX: 12.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Run 4Run 2Run 3Run 1714212835SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 329.2729.3029.3129.37MIN: 29.05 / MAX: 30.73MIN: 29.05 / MAX: 29.95MIN: 29.06 / MAX: 30.11MIN: 29 / MAX: 40.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyRun 4Run 2Run 3Run 1612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 327.0827.1727.1727.40MIN: 26.94 / MAX: 27.7MIN: 27.05 / MAX: 28.72MIN: 26.94 / MAX: 39.56MIN: 27.03 / MAX: 37.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdRun 2Run 4Run 3Run 1510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 319.5819.6019.6219.77MIN: 19.47 / MAX: 20.3MIN: 19.5 / MAX: 20.14MIN: 19.54 / MAX: 20.44MIN: 19.46 / MAX: 22.681. (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 43691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 312.5012.6012.7012.79MIN: 12.45 / MAX: 12.64MIN: 12.54 / MAX: 14.7MIN: 12.61 / MAX: 13.45MIN: 12.59 / MAX: 24.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetRun 2Run 1Run 3Run 4510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 318.6818.7118.7418.79MIN: 18.58 / MAX: 19.38MIN: 18.62 / MAX: 19.29MIN: 18.64 / MAX: 21.24MIN: 18.64 / MAX: 19.361. (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 41.21952.4393.65854.8786.0975SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.415.415.415.42MIN: 5.33 / MAX: 6.85MIN: 5.32 / MAX: 6.88MIN: 5.29 / MAX: 7.33MIN: 5.33 / MAX: 6.871. (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 4Run 2Run 3Run 10.9811.9622.9433.9244.905SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.344.354.354.36MIN: 4.26 / MAX: 5.88MIN: 4.31 / MAX: 6.24MIN: 4.27 / MAX: 5.88MIN: 4.31 / MAX: 6.571. (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 2Run 4Run 3Run 11.26232.52463.78695.04926.3115SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 35.575.575.585.61MIN: 5.5 / MAX: 7.35MIN: 5.51 / MAX: 7.22MIN: 5.5 / MAX: 7.67MIN: 5.54 / MAX: 14.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetRun 3Run 4Run 2Run 10.9991.9982.9973.9964.995SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.404.414.434.44MIN: 4.34 / MAX: 13.67MIN: 4.31 / MAX: 5.97MIN: 4.37 / MAX: 6.76MIN: 4.38 / MAX: 5.971. (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 4Run 2Run 1Run 3246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 36.936.976.986.98MIN: 6.85 / MAX: 8.38MIN: 6.87 / MAX: 18.11MIN: 6.92 / MAX: 8.43MIN: 6.87 / MAX: 9.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceRun 2Run 3Run 4Run 10.39380.78761.18141.57521.969SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.741.741.741.75MIN: 1.7 / MAX: 1.79MIN: 1.71 / MAX: 1.94MIN: 1.71 / MAX: 1.98MIN: 1.72 / MAX: 1.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetRun 2Run 1Run 3Run 448121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 314.6614.6814.7014.72MIN: 14.52 / MAX: 16.88MIN: 14.54 / MAX: 25.94MIN: 14.56 / MAX: 15.51MIN: 14.56 / MAX: 25.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Run 2Run 4Run 1Run 31326395265SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 358.3058.3258.3358.35MIN: 58.12 / MAX: 68.55MIN: 58.16 / MAX: 61.68MIN: 58.15 / MAX: 60.62MIN: 58.2 / MAX: 60.461. (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 448121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 314.7614.7614.7614.83MIN: 14.67 / MAX: 18.18MIN: 14.66 / MAX: 16.63MIN: 14.68 / MAX: 16.83MIN: 14.67 / MAX: 25.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetRun 2Run 3Run 1Run 43691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 312.3212.3412.3612.36MIN: 12.26 / MAX: 13.66MIN: 12.28 / MAX: 12.44MIN: 12.28 / MAX: 21.63MIN: 12.28 / MAX: 13.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Run 2Run 1Run 3Run 4714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 329.2429.2529.2729.29MIN: 29.02 / MAX: 30.35MIN: 29.01 / MAX: 29.85MIN: 29.06 / MAX: 30.01MIN: 28.98 / MAX: 39.971. (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 2Run 1Run 4Run 3612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 327.0527.0827.0827.11MIN: 26.91 / MAX: 38.4MIN: 26.93 / MAX: 29.45MIN: 26.96 / MAX: 27.83MIN: 27 / MAX: 38.461. (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 4Run 2Run 3510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 319.5319.5319.5519.56MIN: 19.45 / MAX: 20.6MIN: 19.43 / MAX: 20.99MIN: 19.47 / MAX: 20.15MIN: 19.47 / MAX: 20.211. (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 2Run 4Run 3Run 13691215SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 312.5612.6012.6312.66MIN: 12.47 / MAX: 14.7MIN: 12.49 / MAX: 14.8MIN: 12.44 / MAX: 14.97MIN: 12.57 / MAX: 14.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 2Run 1Run 4Run 3Run 50.96841.93682.90523.87364.842SE +/- 0.02247, N = 3SE +/- 0.02376, N = 3SE +/- 0.02256, N = 3SE +/- 0.01253, N = 3SE +/- 0.01021, N = 34.273854.277964.291984.295244.30381MIN: 4.18MIN: 4.19MIN: 4.19MIN: 4.18MIN: 4.181. (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 4Run 5Run 3Run 2246810SE +/- 0.01937, N = 3SE +/- 0.02302, N = 3SE +/- 0.01106, N = 3SE +/- 0.02798, N = 3SE +/- 0.02502, N = 37.464098.069598.074608.090958.16144MIN: 7.34MIN: 7.92MIN: 7.93MIN: 7.93MIN: 8.021. (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 2Run 1Run 5Run 3Run 40.45480.90961.36441.81922.274SE +/- 0.00988, N = 3SE +/- 0.01070, N = 3SE +/- 0.00832, N = 3SE +/- 0.00792, N = 3SE +/- 0.00850, N = 32.013862.018292.019572.020592.02147MIN: 1.97MIN: 1.97MIN: 1.97MIN: 1.97MIN: 1.971. (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 2Run 1Run 3Run 5Run 40.52341.04681.57022.09362.617SE +/- 0.00873, N = 3SE +/- 0.00938, N = 3SE +/- 0.00675, N = 3SE +/- 0.01445, N = 3SE +/- 0.00801, N = 32.311432.313232.314862.323522.32631MIN: 2.26MIN: 2.23MIN: 2.26MIN: 2.26MIN: 2.271. (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 3Run 4Run 2Run 548121620SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 315.2215.2815.2915.3115.32MIN: 15.08MIN: 15.17MIN: 15.17MIN: 15.19MIN: 15.161. (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 5Run 1Run 4Run 2Run 3246810SE +/- 0.03287, N = 3SE +/- 0.01862, N = 3SE +/- 0.04482, N = 3SE +/- 0.02146, N = 3SE +/- 0.06748, N = 36.044276.045086.052076.055086.06965MIN: 5.91MIN: 5.91MIN: 5.89MIN: 5.9MIN: 5.891. (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 5Run 2Run 3Run 4Run 1246810SE +/- 0.00362, N = 3SE +/- 0.00881, N = 3SE +/- 0.00414, N = 3SE +/- 0.00836, N = 3SE +/- 0.00894, N = 38.446348.448868.449688.451328.45284MIN: 8.41MIN: 8.41MIN: 8.42MIN: 8.39MIN: 8.421. (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 3Run 1Run 2Run 5Run 448121620SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 313.8913.8913.9113.9313.95MIN: 13.55MIN: 13.54MIN: 13.57MIN: 13.56MIN: 13.571. (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 2Run 3Run 1Run 5Run 4246810SE +/- 0.03324, N = 3SE +/- 0.05125, N = 3SE +/- 0.07194, N = 3SE +/- 0.07350, N = 3SE +/- 0.05371, N = 36.041946.065136.067956.081686.11716MIN: 5.91MIN: 5.89MIN: 5.88MIN: 5.89MIN: 5.941. (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 3Run 5Run 1Run 4Run 20.90091.80182.70273.60364.5045SE +/- 0.00391, N = 3SE +/- 0.00507, N = 3SE +/- 0.00795, N = 3SE +/- 0.01002, N = 3SE +/- 0.00608, N = 33.990323.996633.997283.997374.00392MIN: 3.96MIN: 3.96MIN: 3.96MIN: 3.96MIN: 3.961. (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 4Run 2Run 3Run 59001800270036004500SE +/- 0.73, N = 3SE +/- 0.53, N = 3SE +/- 2.87, N = 3SE +/- 2.33, N = 3SE +/- 3.77, N = 33998.244000.594001.984003.534003.73MIN: 3993.76MIN: 3997MIN: 3993.5MIN: 3998.73MIN: 3995.461. (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 3Run 5Run 4Run 25001000150020002500SE +/- 3.06, N = 3SE +/- 1.62, N = 3SE +/- 1.26, N = 3SE +/- 1.70, N = 3SE +/- 0.57, N = 32399.132402.062404.062408.342414.27MIN: 2393.01MIN: 2397.86MIN: 2400.33MIN: 2404.38MIN: 2411.731. (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 4Run 3Run 5Run 29001800270036004500SE +/- 0.60, N = 3SE +/- 2.26, N = 3SE +/- 0.89, N = 3SE +/- 1.05, N = 3SE +/- 3.23, N = 33996.334001.984002.934003.174003.51MIN: 3993.5MIN: 3997.22MIN: 3998.71MIN: 3997.67MIN: 3997.221. (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 5Run 4Run 2Run 35001000150020002500SE +/- 2.24, N = 3SE +/- 2.39, N = 3SE +/- 3.57, N = 3SE +/- 2.99, N = 3SE +/- 2.25, N = 32400.702404.972406.662407.832408.33MIN: 2394.41MIN: 2400.25MIN: 2399.54MIN: 2400.66MIN: 2401.81. (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 5Run 40.77471.54942.32413.09883.8735SE +/- 0.00431, N = 3SE +/- 0.00720, N = 3SE +/- 0.00191, N = 3SE +/- 0.00546, N = 3SE +/- 0.01373, N = 33.432413.437803.438323.438723.44304MIN: 3.37MIN: 3.37MIN: 3.37MIN: 3.36MIN: 3.371. (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 4Run 3Run 5Run 29001800270036004500SE +/- 0.44, N = 3SE +/- 0.66, N = 3SE +/- 1.51, N = 3SE +/- 1.39, N = 3SE +/- 1.69, N = 33999.694000.064001.784002.254003.09MIN: 3994.32MIN: 3996.54MIN: 3998.34MIN: 3998.52MIN: 3999.471. (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 4Run 55001000150020002500SE +/- 3.11, N = 3SE +/- 1.10, N = 3SE +/- 2.74, N = 3SE +/- 5.60, N = 3SE +/- 6.42, N = 32400.582408.992409.572410.792412.10MIN: 2395.16MIN: 2404.34MIN: 2402.65MIN: 2402.03MIN: 2401.141. (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 2Run 3Run 5Run 4Run 10.66681.33362.00042.66723.334SE +/- 0.00651, N = 3SE +/- 0.00310, N = 3SE +/- 0.00143, N = 3SE +/- 0.00280, N = 3SE +/- 0.00310, N = 32.956002.956292.958662.958992.96337MIN: 2.85MIN: 2.86MIN: 2.87MIN: 2.87MIN: 2.861. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeRun 1Run 2Run 4Run 3246810SE +/- 0.005, N = 5SE +/- 0.002, N = 5SE +/- 0.002, N = 5SE +/- 0.004, N = 57.7147.7197.7207.7331. (CXX) g++ options: -fvisibility=hidden -logg -lm

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileRun 4Run 1Run 3Run 21530456075SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 368.9068.9669.1969.28

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRun 2Run 5Run 1Run 3Run 41632486480SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 370.2670.3170.3770.4070.45

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzRun 4Run 3Run 2Run 148121620SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 415.9716.0216.0316.11

VKMark

Resolution: 1920 x 1080

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080Run 3Run 1Run 5Run 2Run 42004006008001000SE +/- 0.33, N = 3SE +/- 1.20, N = 3SE +/- 0.67, N = 38158158148148131. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 1920 x 1200

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1200Run 1Run 4Run 2Run 5Run 3160320480640800SE +/- 1.00, N = 3SE +/- 1.20, N = 3SE +/- 0.67, N = 3SE +/- 1.33, N = 3SE +/- 0.58, N = 37317277267257251. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 2560 x 1440

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 2560 x 1440Run 1Run 4Run 2Run 5Run 3100200300400500SE +/- 0.67, N = 3SE +/- 0.33, N = 34764744744734731. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 3840 x 2160

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 3840 x 2160Run 1Run 5Run 4Run 3Run 2501001502002502192162162162161. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VkResample

Upscale: 2x - Precision: Double

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleRun 1Run 2Run 5Run 4Run 32004006008001000SE +/- 0.73, N = 3SE +/- 1.66, N = 3SE +/- 1.01, N = 3SE +/- 1.36, N = 3SE +/- 1.32, N = 3889.54921.46921.46921.74922.851. (CXX) g++ options: -O3 -pthread

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRun 1Run 3Run 2Run 4Run 580160240320400SE +/- 0.16, N = 3SE +/- 0.96, N = 3SE +/- 1.56, N = 3SE +/- 1.44, N = 3SE +/- 1.53, N = 3378.00384.60386.44386.57388.061. (CXX) g++ options: -O3 -pthread

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackRun 3Run 4Run 1Run 23691215SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 513.4813.4813.4913.511. (CXX) g++ options: -rdynamic

Phoronix Test Suite v10.8.4