Xeon Platinum 8280 2P EOY

2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012312-HA-XEONPLATI31.

Xeon Platinum 8280 2P EOYProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution1232 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers378GB280GB INTEL SSDPED1D280GAllvmpipeVE2282 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 20.045.4.0-18-generic (x86_64)GNOME Shell 3.36.0X Server 1.20.7modesetting 1.20.73.3 Mesa 20.0.2 (LLVM 9.0.1 256 bits)GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0x500002cSecurity Details- itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of TSX disabled

Xeon Platinum 8280 2P EOYonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - 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: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - 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 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUencode-ape: WAV To APEcryptsetup: 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-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xz1231.350213.218061.447621.088033.669219.266633.937131.469481.216113.712960.4270500.353281999.688561.229990.2813.191644.379834.46931559.5210.340963985.146571.4680.2683420.81969112.66816198396877413268.73290.5746.7741.8409.2414.22762.02768.3755.3741.9411.7414.516.33721.9721.360793.121701.423141.092683.662582.501113.940471.435811.211783.693710.4261360.348490990.196563.211981.3853.197094.389274.44543566.1530.3310191001.726572.1240.2715610.82116812.69516124086874403224.43226.9757.0741.9412.0414.82738.72749.1757.0741.3411.7414.516.33321.9851.364113.127601.425341.082523.669792.540793.936491.449241.211883.697250.4287110.352476985.394563.792989.1883.208374.380884.44128569.1030.332505987.129563.4060.2707610.81962412.67816198396880423239.93234.2758.0743.9412.0414.32751.72756.8757.5742.9412.1414.916.35521.898OpenBenchmarking.org

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1230.30690.61380.92071.22761.5345SE +/- 0.00448, N = 3SE +/- 0.00304, N = 3SE +/- 0.00825, N = 31.350211.360791.36411MIN: 1.26MIN: 1.28MIN: 1.281. (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: CPU1230.72411.44822.17232.89643.6205SE +/- 0.06230, N = 15SE +/- 0.00890, N = 3SE +/- 0.00811, N = 33.218063.121703.12760MIN: 3.04MIN: 3.04MIN: 3.051. (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: CPU1230.32570.65140.97711.30281.6285SE +/- 0.00900, N = 3SE +/- 0.01869, N = 4SE +/- 0.01578, N = 71.447621.423141.42534MIN: 1.2MIN: 1.18MIN: 1.21. (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: CPU1230.24590.49180.73770.98361.2295SE +/- 0.00375, N = 3SE +/- 0.00972, N = 3SE +/- 0.01050, N = 31.088031.092681.08252MIN: 0.77MIN: 0.79MIN: 0.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU1230.82571.65142.47713.30284.1285SE +/- 0.00587, N = 3SE +/- 0.00570, N = 3SE +/- 0.00259, N = 33.669213.662583.66979MIN: 3.42MIN: 3.41MIN: 3.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU1233691215SE +/- 4.72468, N = 12SE +/- 0.06236, N = 15SE +/- 0.06868, N = 159.266632.501112.54079MIN: 2.04MIN: 2.05MIN: 2.051. (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: CPU1230.88661.77322.65983.54644.433SE +/- 0.01202, N = 3SE +/- 0.01079, N = 3SE +/- 0.00777, N = 33.937133.940473.93649MIN: 3.85MIN: 3.85MIN: 3.851. (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: CPU1230.33060.66120.99181.32241.653SE +/- 0.01106, N = 3SE +/- 0.00438, N = 3SE +/- 0.00639, N = 31.469481.435811.44924MIN: 1.35MIN: 1.33MIN: 1.341. (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: CPU1230.27360.54720.82081.09441.368SE +/- 0.00032, N = 3SE +/- 0.00343, N = 3SE +/- 0.00123, N = 31.216111.211781.21188MIN: 1.16MIN: 1.16MIN: 1.161. (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: CPU1230.83541.67082.50623.34164.177SE +/- 0.01265, N = 3SE +/- 0.00759, N = 3SE +/- 0.00811, N = 33.712963.693713.69725MIN: 3.61MIN: 3.59MIN: 3.591. (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: CPU1230.09650.1930.28950.3860.4825SE +/- 0.000066, N = 3SE +/- 0.001852, N = 3SE +/- 0.001583, N = 30.4270500.4261360.428711MIN: 0.38MIN: 0.38MIN: 0.381. (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: CPU1230.07950.1590.23850.3180.3975SE +/- 0.002107, N = 3SE +/- 0.002395, N = 3SE +/- 0.001569, N = 30.3532810.3484900.352476MIN: 0.33MIN: 0.32MIN: 0.331. (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: CPU1232004006008001000SE +/- 14.34, N = 4SE +/- 13.77, N = 3SE +/- 2.82, N = 3999.69990.20985.39MIN: 961.45MIN: 963.52MIN: 971.041. (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: CPU123120240360480600SE +/- 0.36, N = 3SE +/- 5.40, N = 3SE +/- 7.13, N = 3561.23563.21563.79MIN: 546.5MIN: 546.69MIN: 547.871. (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: CPU1232004006008001000SE +/- 1.54, N = 3SE +/- 1.61, N = 3SE +/- 8.73, N = 3990.28981.39989.19MIN: 968.85MIN: 967.43MIN: 970.41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU1230.72191.44382.16572.88763.6095SE +/- 0.01425, N = 3SE +/- 0.00690, N = 3SE +/- 0.01087, N = 33.191643.197093.20837MIN: 2.95MIN: 2.95MIN: 2.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU1230.98761.97522.96283.95044.938SE +/- 0.00053, N = 3SE +/- 0.00778, N = 3SE +/- 0.00726, N = 34.379834.389274.38088MIN: 4.24MIN: 4.25MIN: 4.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU1231.00562.01123.01684.02245.028SE +/- 0.02944, N = 3SE +/- 0.00576, N = 3SE +/- 0.00209, N = 34.469314.445434.44128MIN: 4.39MIN: 4.39MIN: 4.391. (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: CPU123120240360480600SE +/- 3.36, N = 3SE +/- 3.67, N = 3SE +/- 6.84, N = 15559.52566.15569.10MIN: 545.65MIN: 546.4MIN: 543.481. (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: CPU1230.07670.15340.23010.30680.3835SE +/- 0.004431, N = 5SE +/- 0.005127, N = 3SE +/- 0.005082, N = 30.3409630.3310190.332505MIN: 0.3MIN: 0.29MIN: 0.31. (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: CPU1232004006008001000SE +/- 5.38, N = 3SE +/- 13.70, N = 4SE +/- 7.00, N = 3985.151001.73987.13MIN: 966.06MIN: 967.1MIN: 966.661. (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: CPU123120240360480600SE +/- 6.62, N = 6SE +/- 6.59, N = 15SE +/- 2.11, N = 3571.47572.12563.41MIN: 544.08MIN: 546MIN: 547.571. (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: CPU1230.06110.12220.18330.24440.3055SE +/- 0.002034, N = 15SE +/- 0.002249, N = 13SE +/- 0.004390, N = 30.2683420.2715610.270761MIN: 0.24MIN: 0.24MIN: 0.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU1230.18480.36960.55440.73920.924SE +/- 0.004684, N = 3SE +/- 0.004450, N = 3SE +/- 0.004830, N = 30.8196910.8211680.819624MIN: 0.76MIN: 0.76MIN: 0.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 512.6712.7012.681. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Cryptsetup

PBKDF2-sha512

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512123300K600K900K1200K1500KSE +/- 833.67, N = 3SE +/- 5764.33, N = 3SE +/- 833.67, N = 3161983916124081619839

Cryptsetup

PBKDF2-whirlpool

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool123150K300K450K600K750KSE +/- 300.33, N = 3SE +/- 300.33, N = 3SE +/- 521.35, N = 3687741687440688042

Cryptsetup

AES-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption1237001400210028003500SE +/- 6.56, N = 3SE +/- 9.18, N = 3SE +/- 12.15, N = 33268.73224.43239.9

Cryptsetup

AES-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption1237001400210028003500SE +/- 15.87, N = 3SE +/- 8.24, N = 3SE +/- 20.01, N = 33290.53226.93234.2

Cryptsetup

Serpent-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption123160320480640800SE +/- 10.30, N = 3SE +/- 0.44, N = 3SE +/- 0.38, N = 3746.7757.0758.0

Cryptsetup

Serpent-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption123160320480640800SE +/- 0.64, N = 3SE +/- 0.75, N = 3SE +/- 0.23, N = 3741.8741.9743.9

Cryptsetup

Twofish-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption12390180270360450SE +/- 2.47, N = 3SE +/- 0.03, N = 3SE +/- 0.30, N = 3409.2412.0412.0

Cryptsetup

Twofish-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption12390180270360450SE +/- 0.37, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 3414.2414.8414.3

Cryptsetup

AES-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption1236001200180024003000SE +/- 7.54, N = 3SE +/- 2.81, N = 3SE +/- 8.04, N = 32762.02738.72751.7

Cryptsetup

AES-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption1236001200180024003000SE +/- 4.84, N = 3SE +/- 11.07, N = 3SE +/- 8.15, N = 32768.32749.12756.8

Cryptsetup

Serpent-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption123160320480640800SE +/- 0.20, N = 3SE +/- 0.36, N = 3SE +/- 0.37, N = 3755.3757.0757.5

Cryptsetup

Serpent-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption123160320480640800SE +/- 1.63, N = 3SE +/- 1.21, N = 3SE +/- 0.24, N = 3741.9741.3742.9

Cryptsetup

Twofish-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption12390180270360450SE +/- 0.34, N = 3SE +/- 0.26, N = 3SE +/- 0.22, N = 3411.7411.7412.1

Cryptsetup

Twofish-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption12390180270360450SE +/- 0.06, N = 3SE +/- 0.39, N = 3SE +/- 0.21, N = 3414.5414.5414.9

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 516.3416.3316.361. (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.xz123510152025SE +/- 0.04, N = 4SE +/- 0.01, N = 4SE +/- 0.04, N = 421.9721.9921.90

Phoronix Test Suite v10.8.4