new tests extra cpus

Tests for a future article. Intel Xeon Gold 6346 testing with a Supermicro X12SPO-NTF v2.00 (1.2 BIOS) and astdrmfb on AlmaLinux 9.1 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 2304246-NE-NEWTESTSE15
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April 04 2023
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April 04 2023
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April 22 2023
  1 Day, 8 Hours, 40 Minutes
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new tests extra cpusOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon Gold 6338 @ 3.20GHz (32 Cores / 64 Threads)Intel Xeon Gold 6346 @ 3.60GHz (16 Cores / 32 Threads)Supermicro X12SPO-NTF v2.00 (1.2 BIOS)8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07astdrmfbDELL E207WFPAlmaLinux 9.15.14.0-162.12.1.el9_1.x86_64 (x86_64)GCC 11.3.1 20220421ext41280x1024ProcessorsMotherboardMemoryDiskGraphicsMonitorOSKernelCompilerFile-SystemScreen Resolution New Tests Extra Cpus PerformanceSystem Logs- Transparent Huge Pages: always- --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl - Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000375- Python 3.9.14- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

efghijResult OverviewPhoronix Test Suite100%114%127%141%Embree7-Zip CompressionOpenSSLJohn The RipperDarmstadt Automotive Parallel Heterogeneous SuiteTimed Linux Kernel CompilationStress-NGTimed FFmpeg CompilationRocksDBFFmpegSVT-AV1MariaDBGoogle Draco

new tests extra cpusstress-ng: Mallocstress-ng: Malloconednn: IP Shapes 1D - u8s8f32 - CPUstress-ng: Socket Activitystress-ng: NUMAstress-ng: Atomicstress-ng: Semaphoresstress-ng: Semaphoresstress-ng: NUMAstress-ng: MMAPstress-ng: Pollstress-ng: Pollstress-ng: Atomicstress-ng: MMAPembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownrocksdb: Read While Writingstress-ng: Zlibembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objstress-ng: Glibc C String Functionsrocksdb: Rand Readnginx: 1000daphne: OpenMP - Points2Imageonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUembree: Pathtracer - Crownmemcached: 1:100blender: Barbershop - CPU-Onlystress-ng: CPU Cacheblender: Pabellon Barcelona - CPU-Onlyopenssl: ChaCha20-Poly1305stress-ng: Vector Mathstress-ng: CPU Stressopenssl: AES-256-GCMdaphne: OpenMP - Euclidean Clustertensorflow: CPU - 256 - AlexNetblender: Fishy Cat - CPU-Onlyopenssl: RSA4096john-the-ripper: WPA PSKcompress-7zip: Decompression Ratingstress-ng: Glibc Qsort Data Sortingstress-ng: Cryptostress-ng: Vector Mathstress-ng: SENDFILEstress-ng: MEMFDopenssl: AES-128-GCMstress-ng: CPU Stressstress-ng: Cryptoopenssl: SHA512stress-ng: Function Callcompress-7zip: Compression Ratingstress-ng: SENDFILEonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUjohn-the-ripper: MD5onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUopenssl: ChaCha20blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlystress-ng: Hashstress-ng: Hashjohn-the-ripper: Blowfishjohn-the-ripper: bcrypttensorflow: CPU - 512 - AlexNetstress-ng: Matrix Mathopenssl: SHA256onednn: Recurrent Neural Network Training - f32 - CPUstress-ng: Futexonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUstress-ng: Zlibrocksdb: Rand Fill Syncnginx: 500openssl: RSA4096stress-ng: Memory Copyingstress-ng: Futexbuild-llvm: Ninjaonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUstress-ng: Matrix Mathbuild-nodejs: Time To Compileonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUtensorflow: CPU - 256 - ResNet-50onednn: Deconvolution Batch shapes_3d - f32 - CPUtensorflow: CPU - 256 - GoogLeNetmemcached: 1:10nginx: 200tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUtensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 32 - ResNet-50build-godot: Time To Compiletensorflow: CPU - 32 - GoogLeNetbuild-llvm: Unix Makefilesbuild-linux-kernel: defconfigopencv: Object Detectiontensorflow: CPU - 32 - AlexNetmemcached: 1:5onednn: IP Shapes 1D - f32 - CPUnwchem: C240 Buckyballtensorflow: CPU - 16 - GoogLeNetnginx: 100build-ffmpeg: Time To Compileopencv: Videotensorflow: CPU - 16 - ResNet-50opencv: Image Processingonednn: Deconvolution Batch shapes_1d - f32 - CPUtensorflow: CPU - 16 - AlexNetopencv: Stitchingonednn: IP Shapes 3D - u8s8f32 - CPUstress-ng: Mutexstress-ng: Mutexopencv: Features 2Donednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUopencv: DNN - Deep Neural Networkrocksdb: Read Rand Write Randsvt-av1: Preset 8 - Bosphorus 4Kstress-ng: Forkingrocksdb: Seq Filljohn-the-ripper: HMAC-SHA512opencv: Graph APIapache: 100rocksdb: Rand Fillonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUstress-ng: CPU Cachestress-ng: System V Message Passingonednn: IP Shapes 3D - f32 - CPUsvt-av1: Preset 4 - Bosphorus 1080pffmpeg: libx264 - Uploadffmpeg: libx264 - Uploadffmpeg: libx264 - Platformffmpeg: libx264 - Platformffmpeg: libx264 - Video On Demandffmpeg: libx264 - Video On Demandstress-ng: Pthreadffmpeg: libx264 - Liveffmpeg: libx264 - Livemysqlslap: 8192rocksdb: Update Randdaphne: OpenMP - NDT Mappingonednn: Convolution Batch Shapes Auto - f32 - CPUopencv: Coresvt-av1: Preset 13 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Kbuild2: Time To Compileffmpeg: libx265 - Liveffmpeg: libx265 - Liveapache: 500stress-ng: Context Switchingstress-ng: Forkingapache: 200apache: 1000vvenc: Bosphorus 1080p - Fasterffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Platformsvt-av1: Preset 12 - Bosphorus 1080pmysqlslap: 2048draco: Liononednn: IP Shapes 3D - bf16bf16bf16 - CPUsvt-av1: Preset 13 - Bosphorus 4Kmysqlslap: 256mysqlslap: 1024mysqlslap: 512vvenc: Bosphorus 1080p - Faststress-ng: Pthreaddraco: Church Facadevvenc: Bosphorus 4K - Fastsvt-av1: Preset 8 - Bosphorus 1080pmysqlslap: 4096vvenc: Bosphorus 4K - Fasterdeeprec: DIN - BF16petsc: Streamsdeeprec: DLRM - BF16deeprec: DIN - FP32svt-av1: Preset 4 - Bosphorus 4Kdeeprec: DLRM - FP32deeprec: BST - BF16deeprec: PLE - FP32deeprec: BST - FP32deeprec: MMOE - FP32deeprec: DCNv2 - FP32deeprec: PLE - BF16deeprec: DCNv2 - BF16encode-opus: WAV To Opus Encodedeeprec: MMOE - BF16stress-ng: x86_64 RdRanddeeprec: DCNv2 - FP32deeprec: DCNv2 - BF16deeprec: PLE - FP32deeprec: PLE - BF16deeprec: BST - FP32deeprec: BST - BF16deeprec: MMOE - FP32deeprec: MMOE - BF16deeprec: DLRM - FP32deeprec: DLRM - BF16deeprec: DIN - FP32deeprec: DIN - BF16stress-ng: MEMFDbuild-linux-kernel: allmodconfigefghij78931999.9978610054.561.598949732.02166.99157.056279831.976280163.34179.61774.1540383844035573.84156.11729.2644.404337.924735.003146912181789.1335.470632.23443501538.25106366292164243.213099.4070335087.7205929.40922973860.21606.438.99194.87111222988250119392.9152534.22267443782180690.33566.1976.55419714.9189308136996276.8338963.93119310.97489496.07394.9930364044438054460.7339091.088346380060152594.25196121492399.27.7720441270005.6151815221416810059.84164.854466781.044835927.284039640440578.04121611.7620773085880886.912073056.27903.519891.6991620.6300473160858.8213789.36083.672103532.73335.322508.746511.49113551.29295.654513.73572.721.88199217.054268751.71160594.88213.1971.50.4129853.112772.87218.09468.6669.44187.577204.46403.97853.83330587393.954317194.511.308394764.8191.59151096.1928.014840862.631236784.53853301.942417480.536328969776.95969913.81631560.41477529168278100355.79475346.361274287147448000188005128779.9811111791.633512223417.176895520.281.630067.231247.5810.2039.33192.59191.8939.48144344.1828.37178.003938016971165.731.8492274952480.119191.68396.83744.63113.16186259.015166885.1277939.2189134.12185846.0325.43941.74181.48895509520.64122.3442.01180.30502.71884854721.68355176.74687886786813.339142321.2666544.747127.6057989.0463.049334310.64430.0679082149.2878868686.90.8318239783.02163.39157.766288116.396274228.79169.83742.734035027.514027385.59160.27727.5244.407538.096634.953247219781788.235.381932.06763529363.29106552921164831.2712910.6390120787.7387529.28652808783.97596.9740.44194.12111171056710119349.9552157.84267503957880712.93565.6776.93419839189854136440275.5838948.07119310.27490342.61415.3330328281416054403.0439071.558348167710152593.8197139493574.137.7729341190005.6263915220771308060.17160.314463109.624835657.844046040421576.64121882.8620783323840897.8392082786.91887.466892.2831591.75300713160487.1913782.46066.732125283.93336.192509.809510.863113258.03295.08522.14772.781.86105217.014165587.24160596.18213.2171.490.4087124.1943772.89218.2466.0369.42187.047204.59405.54453.20730347393.424295820.031.300874753.6191.96151139.5727.872816262.841226564.312283022396830.560392972025.68969633.43617920.41475629288277890156.24274817.21267556146567000188565129247.9511099941.545792431294.876905447.591.618197.976247.5310.2039.48191.85192.0339.45144244.528.27178.653938003191166.691.6947876273483.353193.99796.6444.65113.11186542.925115907.3877970.3190175.9185721.1625.49841.88180.8820.57122.7641.85181.017315444514.74285354921.64727174.64987085187313.281142232.0666564.755126.8818039.0363.049334324.2437.8579143065.749861.35184.83160.156274788.61735.314023520.1244.284838.069834.7406479917235.505532.19623645309.6310786789413009.34287640929.358840.1211110376680052459.63266810352160722.67419763.7189308136419276.1339002.26119385.68492918.31464.423030874043708346418580152594.6719811441220001522102026204460696.994040240460208500175202109816.631321.5330136913813.46092.1113380.2353.15728.036969577.51277657055.299128286914719400011043557787657.637.515247.8710.1939.47191.89192.4139.37144040.0228.30178.463917979701142.64486.252193.38944.78112.775204045.0777787.3841.75181.4520.61122.5041.85181.01521.868495525173.4948878648666530128.1428103.054334325.6423388075.5823508474.850.4964003522.2693.25260.373241988.273244081.7395.60433.202257645.942257415.18260.09431.3028.310824.363322.434731220701203.5023.069521.00212408058.8672619868109256.7119476.08498270111.213319.71762136467.21889.4157.06287.697525230965381804.4535599.20183035127033961.40386.26112.07286665.812964993752189.5026680.4781800.43337606.34557.2920799413498337556.0826814.165732289320104780.05136235338894.5411.292628463338.1258510498895162386.69232.063089184.073348679.102802828013400.9884915.66145351412501269.702969099.971264.551268.131135.63211679113684.799773.24302.252977539.72472.555700.363706.98081986.25406.289705.24753.262.53342159.463134084.27118060.34157.2452.770.5453884.1648154.14162.44348.9152.15247.789154.60527.02167.75224753306.793380951.401.674605851.2150.35118589.5834.957679950.521046753.72347248.812023490.6338001165638.381165454.03526890.49455625656235360347.30864172.351498799126293000161540148306.0012843771.794362473550.017943561.311.860158.059216.2511.6844.91168.67168.5444.94163837.0324.95202.384447104321294.741.9173367526541.995173.515107.67240.55124.54168427.665373285.4271159.22173426.91168568.7927.79345.65165.9622.29113.2845.67165.88540.94480951671.75412166.19489082988013.853147732.4863904.566123.7978269.26442109.68137247.862249814.1852319.063.081137681.756323.7336149.2110910.2296261.9417343.9717420.7712340.0734.26131100.06334563.4733.8724.1070.6134.0321.3112.35188.0160.74268.9197.29102.1982.25538.8523517728.1623474659.320.4973966574.2194.5256.923242574.793243813.6494.09430.952258819.862257168.81273.44431.1928.271324.281622.359631113381155.223.052520.98332496277.1972533469109346.818470.68855648511.228219.77392164313.83889.8952.96287.137524941879081676.8335705.981828145176601013.54385.88111.89286768.112973193671190.126761.4681695.62340726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Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Mallocjihgfe20M40M60M80M100MSE +/- 109768.81, N = 323552788.5023517728.1623388075.5879143065.7479082149.2878931999.991. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Mallocjihfe20M40M60M80M100MSE +/- 12210.94, N = 323468513.7323474659.3223508474.8578868686.9078610054.561. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUjihfe0.35980.71961.07941.43921.799SE +/- 0.002966, N = 30.4921700.4973960.4964000.8318231.598940MIN: 0.39MIN: 0.4MIN: 0.39MIN: 0.53MIN: 0.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Socket Activityjihgfe2K4K6K8K10KSE +/- 622.10, N = 156586.726574.213522.269861.359783.029732.021. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: NUMAjihgfe4080120160200SE +/- 0.91, N = 399.7694.5093.25184.83163.39166.991. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Atomicjihgfe70140210280350SE +/- 1.08, N = 3306.30256.92260.37160.15157.76157.051. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Semaphoresjihfe1.3M2.6M3.9M5.2M6.5MSE +/- 1059.44, N = 33244195.863242574.793241988.276288116.396279831.971. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Semaphoresjihgfe1.3M2.6M3.9M5.2M6.5MSE +/- 626.84, N = 33244457.423243813.643244081.736274788.616274228.796280163.341. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: NUMAjihfe4080120160200SE +/- 1.20, N = 1594.0294.0995.60169.83179.611. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: MMAPjihgfe170340510680850SE +/- 0.70, N = 3431.59430.95433.20735.31742.73774.151. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Polljihfe900K1800K2700K3600K4500KSE +/- 1054.76, N = 32256203.862258819.862257645.944035027.514038384.001. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Polljihgfe900K1800K2700K3600K4500KSE +/- 230.77, N = 32254827.302257168.812257415.184023520.124027385.594035573.841. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Atomicjihfe60120180240300SE +/- 2.20, N = 15261.74273.44260.09160.27156.111. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: MMAPjihfe160320480640800SE +/- 0.39, N = 3431.80431.19431.30727.52729.261. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragonjihgfe1020304050SE +/- 0.07, N = 328.4328.2728.3144.2844.4144.40MIN: 27.79 / MAX: 30.42MIN: 27.6 / MAX: 30.18MIN: 27.61 / MAX: 30.41MIN: 43.73 / MAX: 46.57MIN: 43.88 / MAX: 46.85MIN: 43.8 / MAX: 46.79

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon Objjihgfe918273645SE +/- 0.03, N = 324.2824.2824.3638.0738.1037.92MIN: 23.75 / MAX: 25.58MIN: 23.75 / MAX: 25.83MIN: 23.83 / MAX: 26.05MIN: 37.55 / MAX: 40.11MIN: 37.56 / MAX: 40.12MIN: 37.43 / MAX: 40.04

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Crownjihgfe816243240SE +/- 0.04, N = 322.3222.3622.4334.7434.9535.00MIN: 21.84 / MAX: 24.02MIN: 21.84 / MAX: 24MIN: 21.85 / MAX: 24.32MIN: 33.94 / MAX: 36.36MIN: 34.07 / MAX: 36.73MIN: 34.13 / MAX: 36.64

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While Writingjihgfe1000K2000K3000K4000K5000KSE +/- 10221.65, N = 33097322311133831220704799172472197846912181. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Zlibjihfe400800120016002000SE +/- 1.64, N = 31206.841155.201203.501788.201789.131. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragonjihgfe816243240SE +/- 0.05, N = 323.1623.0523.0735.5135.3835.47MIN: 23.06 / MAX: 23.75MIN: 22.96 / MAX: 23.68MIN: 22.9 / MAX: 23.77MIN: 34.23 / MAX: 37MIN: 34.3 / MAX: 36.96MIN: 34.22 / MAX: 37.08

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon Objjihgfe714212835SE +/- 0.04, N = 320.9820.9821.0032.2032.0732.23MIN: 20.89 / MAX: 21.22MIN: 20.9 / MAX: 21.18MIN: 20.84 / MAX: 21.33MIN: 31.14 / MAX: 33.69MIN: 31.19 / MAX: 33.77MIN: 31.25 / MAX: 33.72

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Glibc C String Functionsjihgfe800K1600K2400K3200K4000KSE +/- 3246.22, N = 32386711.992496277.192408058.863645309.633529363.293501538.251. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random Readjihgfe20M40M60M80M100MSE +/- 707833.96, N = 37132660772533469726198681078678941065529211063662921. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000jihfe40K80K120K160K200KSE +/- 28.90, N = 3109558.98109346.80109256.71164831.27164243.201. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous Suite 2021.11.02Backend: OpenMP - Kernel: Points2Imagejihgfe4K8K12K16K20KSE +/- 30.76, N = 318237.2518470.6919476.0813009.3412910.6413099.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUjihfe3691215SE +/- 0.00893, N = 311.5770011.2282011.213307.738757.72059MIN: 11.48MIN: 11.11MIN: 11.11MIN: 7.58MIN: 7.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Crownjihgfe714212835SE +/- 0.05, N = 319.6219.7719.7229.3629.2929.41MIN: 19.47 / MAX: 20.27MIN: 19.64 / MAX: 20.73MIN: 19.49 / MAX: 20.5MIN: 28.73 / MAX: 30.61MIN: 28.61 / MAX: 30.83MIN: 28.72 / MAX: 31.05

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100jihfe600K1200K1800K2400K3000KSE +/- 24953.13, N = 151993539.112164313.832136467.212808783.972973860.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Onlyjihfe2004006008001000SE +/- 4.90, N = 3888.58889.89889.41596.97606.40

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: CPU Cachejihgfe1326395265SE +/- 3.29, N = 1257.8652.9657.0640.1240.4438.991. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Onlyjihfe60120180240300SE +/- 0.12, N = 3287.41287.13287.69194.12194.87

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305jihgfe20000M40000M60000M80000M100000MSE +/- 6468540.55, N = 37527494342075249418790752523096531111037668001111710567101112229882501. (CC) gcc options: -pthread -m64 -O3 -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Vector Mathjihfe30K60K90K120K150KSE +/- 56.68, N = 380822.7181676.8381804.45119349.95119392.911. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: CPU Stressjihgfe11K22K33K44K55KSE +/- 35.16, N = 335839.5535705.9835599.2052459.6352157.8452534.221. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMjihgfe60000M120000M180000M240000M300000MSE +/- 253599393.56, N = 31816474110601828145176601830351270332668103521602675039578802674437821801. (CC) gcc options: -pthread -m64 -O3 -ldl

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous Suite 2021.11.02Backend: OpenMP - Kernel: Euclidean Clusterjihgfe2004006008001000SE +/- 10.31, N = 51014.531013.54961.40722.67712.93690.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetjihfe120240360480600SE +/- 0.07, N = 3386.41385.88386.26565.67566.19

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Onlyjihfe306090120150SE +/- 0.09, N = 3112.28111.89112.0776.9376.55

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096jihgfe90K180K270K360K450KSE +/- 136.10, N = 3286274.2286768.1286665.8419763.7419839.0419714.91. (CC) gcc options: -pthread -m64 -O3 -ldl

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKjihgfe40K80K120K160K200KSE +/- 27.79, N = 31296381297311296491893081898541893081. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingjihgfe30K60K90K120K150KSE +/- 74.28, N = 39359993671937521364191364401369961. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Glibc Qsort Data Sortingjihgfe60120180240300SE +/- 0.26, N = 3189.27190.10189.50276.13275.58276.831. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Cryptojihgfe8K16K24K32K40KSE +/- 22.35, N = 326729.2026761.4626680.4739002.2638948.0738963.931. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Vector Mathjihgfe30K60K90K120K150KSE +/- 32.35, N = 381778.7281695.6281800.43119385.68119310.27119310.971. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: SENDFILEjihgfe110K220K330K440K550KSE +/- 71.80, N = 3342626.17340726.60337606.34492918.31490342.61489496.071. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: MEMFDjihgfe120240360480600SE +/- 13.12, N = 15381.74454.13557.29464.42415.33394.991. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMjihgfe70000M140000M210000M280000M350000MSE +/- 20712512.35, N = 32083449976102081364437702079941349833030874043703032828141603036404443801. (CC) gcc options: -pthread -m64 -O3 -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CPU Stressjihfe12K24K36K48K60KSE +/- 54.92, N = 337389.3837349.0337556.0854403.0454460.731. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Cryptojihfe8K16K24K32K40KSE +/- 2.51, N = 326817.8626817.8326814.1639071.5539091.081. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512jihgfe2000M4000M6000M8000M10000MSE +/- 1617191.98, N = 35727203610573032849057322893208346418580834816771083463800601. (CC) gcc options: -pthread -m64 -O3 -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Function Calljihgfe30K60K90K120K150KSE +/- 3.58, N = 3104750.99104763.64104780.05152594.67152593.80152594.251. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingjihgfe40K80K120K160K200KSE +/- 426.89, N = 31360051363081362351981141971391961211. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: SENDFILEjihfe110K220K330K440K550KSE +/- 82.32, N = 3341456.23340013.70338894.54493574.13492399.201. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUjihfe3691215SE +/- 0.00717, N = 311.3043011.2953011.292607.772937.77204MIN: 11.23MIN: 11.22MIN: 11.22MIN: 7.71MIN: 7.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5jihgfe900K1800K2700K3600K4500KSE +/- 2962.73, N = 32843000285200028463334122000411900041270001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUjihfe246810SE +/- 0.00039, N = 38.135868.144988.125855.626395.61518MIN: 8.12MIN: 8.12MIN: 8.12MIN: 5.59MIN: 5.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20jihgfe30000M60000M90000M120000M150000MSE +/- 8688544.64, N = 31049950975301050030669801049889516231522102026201522077130801522141681001. (CC) gcc options: -pthread -m64 -O3 -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: BMW27 - Compute: CPU-Onlyjihfe20406080100SE +/- 0.02, N = 386.7186.6286.6960.1759.84

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Onlyjihfe50100150200250SE +/- 0.19, N = 3232.13231.78232.06160.31164.85

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Hashjihgfe1000K2000K3000K4000K5000KSE +/- 126.06, N = 33090952.603087253.763089184.074460696.994463109.624466781.041. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Hashjihfe1000K2000K3000K4000K5000KSE +/- 1653.89, N = 33342591.603343242.273348679.104835657.844835927.281. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: Blowfishjihgfe9K18K27K36K45KSE +/- 11.70, N = 32801228003280284040240460403961. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptjihgfe9K18K27K36K45KSE +/- 11.26, N = 32802228032280134046040421404401. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetjihfe120240360480600SE +/- 0.19, N = 3400.26400.98400.98576.64578.04

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Matrix Mathjihfe30K60K90K120K150KSE +/- 51.94, N = 385213.6385096.0184915.66121882.86121611.761. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256jihgfe4000M8000M12000M16000M20000MSE +/- 3599683.66, N = 31454606655014540475710145351412502085001752020783323840207730858801. (CC) gcc options: -pthread -m64 -O3 -ldl

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUjihfe30060090012001500SE +/- 2.73, N = 31260.991271.331269.70897.84886.91MIN: 1212.22MIN: 1221.68MIN: 1215.95MIN: 851.56MIN: 844.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Futexjihgfe600K1200K1800K2400K3000KSE +/- 44269.26, N = 152728277.392815652.702969099.972109816.632082786.912073056.271. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUjihfe30060090012001500SE +/- 2.92, N = 31269.071269.411264.55887.47903.52MIN: 1220.45MIN: 1219.37MIN: 1210.64MIN: 844.57MIN: 849.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUjihfe30060090012001500SE +/- 3.00, N = 31263.731274.191268.13892.28891.70MIN: 1212.79MIN: 1225.59MIN: 1214.46MIN: 849.32MIN: 849.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Zlibjihgfe30060090012001500SE +/- 1.93, N = 31137.341140.671135.631321.531591.751620.601. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random Fill Syncjihgfe60K120K180K240K300KSE +/- 58.27, N = 32116572114762116793013693007133004731. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500jihfe30K60K90K120K150KSE +/- 17.26, N = 3113739.84113549.16113684.79160487.19160858.821. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096jihgfe3K6K9K12K15KSE +/- 2.48, N = 39754.19755.39773.213813.413782.413789.31. (CC) gcc options: -pthread -m64 -O3 -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Memory Copyingjihgfe13002600390052006500SE +/- 0.91, N = 34304.944310.234302.256092.106066.736083.671. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Futexjihfe600K1200K1800K2400K3000KSE +/- 51354.36, N = 122906460.442583399.142977539.722125283.932103532.731. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjajihfe100200300400500SE +/- 0.23, N = 3473.74472.98472.56336.19335.32

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUjihfe150300450600750SE +/- 2.34, N = 3713.05702.46700.36509.81508.75MIN: 680.59MIN: 672.81MIN: 667.01MIN: 489.85MIN: 489.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUjihfe150300450600750SE +/- 0.30, N = 3699.08709.06706.98510.86511.49MIN: 668.9MIN: 677.09MIN: 677.17MIN: 492.47MIN: 490.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Matrix Mathjihgfe20K40K60K80K100KSE +/- 62.64, N = 381862.6682002.8881986.25113380.23113258.03113551.291. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To Compilejihfe90180270360450SE +/- 0.10, N = 3405.75406.19406.29295.08295.65

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUjihfe150300450600750SE +/- 0.94, N = 3702.08696.92705.25522.15513.74MIN: 673.18MIN: 668.26MIN: 674.1MIN: 502.11MIN: 495.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50jihfe1632486480SE +/- 0.01, N = 353.2553.2253.2672.7872.72

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUjihfe0.57041.14081.71122.28162.852SE +/- 0.00464, N = 32.535182.527442.533421.861051.88199MIN: 2.31MIN: 2.31MIN: 2.24MIN: 1.65MIN: 1.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetjihfe50100150200250SE +/- 0.02, N = 3159.48159.34159.46217.01217.05

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10jihfe900K1800K2700K3600K4500KSE +/- 26057.18, N = 33161848.433152408.513134084.274165587.244268751.711. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 200jihfe30K60K90K120K150KSE +/- 10.78, N = 3118198.09118216.29118060.34160596.18160594.881. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetjihfe50100150200250SE +/- 0.13, N = 3157.38157.41157.24213.21213.19

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50jihfe1632486480SE +/- 0.01, N = 352.8052.8252.7771.4971.50

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUjihfe0.12410.24820.37230.49640.6205SE +/- 0.000311, N = 30.5456260.5515040.5453880.4087120.412985MIN: 0.45MIN: 0.45MIN: 0.45MIN: 0.34MIN: 0.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUjihfe0.94371.88742.83113.77484.7185SE +/- 0.01380, N = 34.160954.133384.164814.194373.11270MIN: 4.03MIN: 4.03MIN: 4.03MIN: 2.98MIN: 2.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50jihfe1632486480SE +/- 0.00, N = 354.1454.1254.1472.8972.87

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetjihfe50100150200250SE +/- 0.01, N = 3162.25162.47162.44218.20218.09

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetjihfe100200300400500SE +/- 0.39, N = 3348.54349.10348.91466.03468.66

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50jihfe1530456075SE +/- 0.01, N = 352.1652.2152.1569.4269.44

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 4.0Time To Compilejihfe50100150200250SE +/- 0.31, N = 3248.55247.87247.79187.05187.58

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetjihfe4080120160200SE +/- 0.08, N = 3154.99154.92154.60204.59204.46

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesjihfe120240360480600SE +/- 3.74, N = 3522.28533.50527.02405.54403.98

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigjihgfe1530456075SE +/- 0.52, N = 368.8768.8167.7553.1653.2153.83

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Object Detectionjihfe7K14K21K28K35KSE +/- 286.60, N = 1523743236322475330347305871. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetjihfe90180270360450SE +/- 0.15, N = 3304.84306.64306.79393.42393.95

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:5jihfe900K1800K2700K3600K4500KSE +/- 12477.68, N = 33343846.783411591.013380951.404295820.034317194.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUjihfe0.37740.75481.13221.50961.887SE +/- 0.00645, N = 31.677391.670351.674601.300871.30839MIN: 1.45MIN: 1.44MIN: 1.45MIN: 1.17MIN: 1.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 Buckyballjihfe130026003900520065006087.35938.95851.24753.64764.81. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetjihfe4080120160200SE +/- 0.06, N = 3150.68150.41150.35191.96191.59

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 100jihfe30K60K90K120K150KSE +/- 33.69, N = 3118453.74118462.79118589.58151139.57151096.191. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 6.0Time To Compilejihgfe816243240SE +/- 0.03, N = 335.0335.0834.9628.0427.8728.01

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Videojihfe2K4K6K8K10KSE +/- 13.02, N = 3681366936799816284081. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50jihfe1428425670SE +/- 0.02, N = 350.5450.6450.5262.8462.63

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Image Processingjihfe30K60K90K120K150KSE +/- 916.27, N = 31040331007661046751226561236781. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUjihfe1.02122.04243.06364.08485.106SE +/- 0.00329, N = 33.720023.723803.723474.312284.53853MIN: 3.1MIN: 3.04MIN: 3.03MIN: 3.56MIN: 3.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetjihfe70140210280350SE +/- 0.29, N = 3248.49248.15248.81302.00301.94

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Stitchingjihfe50K100K150K200K250KSE +/- 801.57, N = 32005362030552023492396832417481. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUjihfe0.14510.29020.43530.58040.7255SE +/- 0.006251, N = 30.6248010.6451010.6338000.5603920.536328MIN: 0.57MIN: 0.59MIN: 0.57MIN: 0.51MIN: 0.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Mutexjihfe200K400K600K800K1000KSE +/- 265.04, N = 31165016.201166455.131165638.38972025.68969776.951. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Mutexjihgfe200K400K600K800K1000KSE +/- 196.52, N = 31165479.961165955.271165454.03969577.51969633.43969913.811. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Features 2Djihfe14K28K42K56K70KSE +/- 672.84, N = 352878549135268961792631561. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUjihfe0.11140.22280.33420.44560.557SE +/- 0.000235, N = 30.4952150.4934670.4945560.4147560.414775MIN: 0.42MIN: 0.42MIN: 0.42MIN: 0.36MIN: 0.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: DNN - Deep Neural Networkjihfe6K12K18K24K30KSE +/- 264.62, N = 526708245922565629288291681. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write Randomjihgfe600K1200K1800K2400K3000KSE +/- 6073.00, N = 32337608233718423536032776570277890127810031. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4Kjihgfe1326395265SE +/- 0.12, N = 347.8047.7347.3155.3056.2455.791. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Forkingjihfe16K32K48K64K80KSE +/- 221.26, N = 363405.1964087.9764172.3574817.2075346.361. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Sequential Filljihgfe300K600K900K1200K1500KSE +/- 5575.25, N = 31492605148539114987991282869126755612742871. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA512jihgfe30M60M90M120M150MSE +/- 405431.05, N = 31251800001258160001262930001471940001465670001474480001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Graph APIjihfe40K80K120K160K200KSE +/- 164.80, N = 31607661641241615401885651880051. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 100jihfe30K60K90K120K150KSE +/- 69.71, N = 3149032.75150468.57148306.00129247.95128779.981. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random Filljihgfe300K600K900K1200K1500KSE +/- 4097.59, N = 31284890127138612843771104355110999411111791. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUjihfe0.40370.80741.21111.61482.0185SE +/- 0.01503, N = 31.775441.735761.794361.545791.63351MIN: 1.7MIN: 1.64MIN: 1.69MIN: 1.48MIN: 1.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CPU Cachejihfe600K1200K1800K2400K3000KSE +/- 35357.11, N = 32570371.442540532.652473550.012431294.872223417.171. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: System V Message Passingjihgfe2M4M6M8M10MSE +/- 4165.71, N = 37955059.057960924.717943561.317787657.636905447.596895520.281. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUjihfe0.41850.8371.25551.6742.0925SE +/- 0.00420, N = 31.837091.825371.860151.618191.63006MIN: 1.76MIN: 1.77MIN: 1.79MIN: 1.57MIN: 1.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pjihgfe246810SE +/- 0.105, N = 38.2588.2968.0597.5157.9767.2311. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Uploadjihgfe50100150200250SE +/- 0.11, N = 3216.52216.24216.25247.87247.53247.581. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Uploadjihgfe3691215SE +/- 0.01, N = 311.6611.6811.6810.1910.2010.201. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Platformjihgfe1020304050SE +/- 0.03, N = 344.9544.9744.9139.4739.4839.331. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Platformjihgfe4080120160200SE +/- 0.12, N = 3168.50168.45168.67191.89191.85192.591. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Video On Demandjihgfe4080120160200SE +/- 0.06, N = 3168.88168.44168.54192.41192.03191.891. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Video On Demandjihgfe1020304050SE +/- 0.02, N = 344.8544.9744.9439.3739.4539.481. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Pthreadjihgfe40K80K120K160K200KSE +/- 150.68, N = 3164013.17163053.35163837.03144040.02144244.50144344.181. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Livejihgfe714212835SE +/- 0.04, N = 325.1325.0624.9528.3028.2728.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Livejihgfe4080120160200SE +/- 0.33, N = 3200.92201.53202.38178.46178.65178.001. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 8192jihgfe100200300400500SE +/- 1.02, N = 34434424443913933931. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lpcre2-8 -lcrypt -lsystemd -lz -lm -lssl -lcrypto -lpthread -ldl

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update Randomjihgfe200K400K600K800K1000KSE +/- 188.07, N = 37065087083417104327979708003198016971. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous Suite 2021.11.02Backend: OpenMP - Kernel: NDT Mappingjihgfe30060090012001500SE +/- 0.51, N = 31246.031247.751294.741142.641166.691165.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUjihfe0.43140.86281.29421.72562.157SE +/- 0.00961, N = 31.890811.904041.917331.694781.84922MIN: 1.73MIN: 1.74MIN: 1.75MIN: 1.62MIN: 1.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Corejihfe16K32K48K64K80KSE +/- 723.19, N = 367760689846752676273749521. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pjihgfe120240360480600SE +/- 2.33, N = 3537.55537.14542.00486.25483.35480.121. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4Kjihgfe4080120160200SE +/- 0.03, N = 3173.55172.35173.52193.39194.00191.681. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 0.15Time To Compilejihfe20406080100SE +/- 1.14, N = 5106.07105.93107.6796.6496.84

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Livejihgfe1020304050SE +/- 0.06, N = 340.4340.5540.5544.7844.6544.631. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Livejihgfe306090120150SE +/- 0.19, N = 3124.90124.54124.54112.77113.11113.161. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 500jihfe40K80K120K160K200KSE +/- 306.33, N = 3170495.74173949.23168427.66186542.92186259.011. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Context Switchingjihgfe1.2M2.4M3.6M4.8M6MSE +/- 61475.84, N = 44864771.185303334.585373285.425204045.075115907.385166885.121. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Forkingjihgfe20K40K60K80K100KSE +/- 132.55, N = 370654.2571274.1271159.2277787.3877970.3077939.201. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 200jihfe40K80K120K160K200KSE +/- 387.27, N = 3172379.56182855.42173426.91190175.90189134.121. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000jihfe40K80K120K160K200KSE +/- 303.73, N = 3168958.55173404.22168568.79185721.16185846.031. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: Fasterjihfe714212835SE +/- 0.04, N = 327.9127.8027.7925.5025.441. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandjihgfe1020304050SE +/- 0.09, N = 345.4945.4445.6541.7541.8841.741. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandjihgfe4080120160200SE +/- 0.33, N = 3166.53166.72165.96181.45180.88181.491. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadjihgfe510152025SE +/- 0.03, N = 322.4622.2822.2920.6120.5720.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadjihgfe306090120150SE +/- 0.17, N = 3112.44113.34113.28122.50122.76122.341. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platformjihgfe1020304050SE +/- 0.07, N = 345.5345.6245.6741.8541.8542.011. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platformjihgfe4080120160200SE +/- 0.25, N = 3166.39166.05165.88181.01181.02180.301. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pjihgfe120240360480600SE +/- 4.52, N = 3536.00540.90540.94521.86514.74502.721. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 2048jihgfe2004006008001000SE +/- 4.69, N = 38107968098498538481. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lpcre2-8 -lcrypt -lsystemd -lz -lm -lssl -lcrypto -lpthread -ldl

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Lionjihgfe12002400360048006000SE +/- 5.78, N = 35173517651675525549254721. (CXX) g++ 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 toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUjihfe0.39470.78941.18411.57881.9735SE +/- 0.00448, N = 31.753931.740511.754121.647271.68355MIN: 1.7MIN: 1.69MIN: 1.69MIN: 1.42MIN: 1.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4Kjihgfe4080120160200SE +/- 0.56, N = 3167.43166.28166.19173.49174.65176.751. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 256jihgfe2004006008001000SE +/- 10.01, N = 39039188908878708781. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lpcre2-8 -lcrypt -lsystemd -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 1024jihgfe2004006008001000SE +/- 8.73, N = 38658228298648518671. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lpcre2-8 -lcrypt -lsystemd -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 512jihgfe2004006008001000SE +/- 9.84, N = 58408648808668738681. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lpcre2-8 -lcrypt -lsystemd -lz -lm -lssl -lcrypto -lpthread -ldl

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: Fastjihfe48121620SE +/- 0.04, N = 313.8213.8913.8513.2813.341. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Pthreadjihfe30K60K90K120K150KSE +/- 671.65, N = 3148426.95148250.98147732.48142232.06142321.261. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facadejihgfe14002800420056007000SE +/- 1.20, N = 36407641163906530665666541. (CXX) g++ options: -O3

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fastjihfe1.06992.13983.20974.27965.3495SE +/- 0.001, N = 34.5744.5664.5664.7554.7471. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pjihgfe306090120150SE +/- 0.32, N = 3123.27123.11123.80128.14126.88127.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 4096jihgfe2004006008001000SE +/- 2.45, N = 38108228268108037981. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lpcre2-8 -lcrypt -lsystemd -lz -lm -lssl -lcrypto -lpthread -ldl

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fasterjihfe3691215SE +/- 0.012, N = 39.3329.2459.2649.0369.0461. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

DeepRec

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: DIN - Data Type: BF16jih9K18K27K36K45KSE +/- 67.58, N = 341131.2142145.5942109.68

PETSc

PETSc, the Portable, Extensible Toolkit for Scientific Computation, is for the scalable (parallel) solution of scientific applications modeled by partial differential equations. This test profile runs the PETSc "make streams" benchmark and records the throughput rate when all available cores are utilized for the MPI Streams build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterPETSc 3.19Test: Streamsjih30K60K90K120K150KSE +/- 515.13, N = 3139367.20138390.81137247.861. (CC) gcc options: -fPIC -O3 -O2 -lpthread -ludev -lm

DeepRec

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: DLRM - Data Type: BF16jih11K22K33K44K55KSE +/- 96.98, N = 350252.0550501.6049814.18

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: DIN - Data Type: FP32jih11K22K33K44K55KSE +/- 79.54, N = 352806.1452878.3452319.06

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4Kjihgfe0.69321.38642.07962.77283.466SE +/- 0.015, N = 33.0503.0613.0813.0543.0493.0491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

DeepRec

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: DLRM - Data Type: FP32jih30K60K90K120K150KSE +/- 145.81, N = 3137744.28138919.17137681.75

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: BST - Data Type: BF16jih14002800420056007000SE +/- 2.60, N = 36354.096343.206323.73

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: PLE - Data Type: FP32jih8K16K24K32K40KSE +/- 70.13, N = 336137.8236290.1136149.21

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: BST - Data Type: FP32jih2K4K6K8K10KSE +/- 27.09, N = 310952.9610929.6510910.22

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: MMOE - Data Type: FP32jih20K40K60K80K100KSE +/- 55.23, N = 396002.5696362.2496261.94

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: DCNv2 - Data Type: FP32jih4K8K12K16K20KSE +/- 4.89, N = 317325.7917300.8317343.97

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: PLE - Data Type: BF16jih4K8K12K16K20KSE +/- 16.66, N = 317458.8517426.6517420.77

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: DCNv2 - Data Type: BF16jih3K6K9K12K15KSE +/- 7.04, N = 312337.8412314.6312340.07

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 five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.4WAV To Opus Encodejih816243240SE +/- 0.01, N = 534.3134.2434.261. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

DeepRec

OpenBenchmarking.orgThroughput, More Is BetterDeepRecModel: MMOE - Data Type: BF16jih7K14K21K28K35KSE +/- 51.49, N = 331093.8831134.9831100.06

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: x86_64 RdRandjihgfe70K140K210K280K350KSE +/- 10.75, N = 3334550.30334550.11334563.47334325.64334324.20334310.641. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -lrt -lz -pthread

Test: IO_uring

e: The test run did not produce a result.

f: The test run did not produce a result.

h: The test run did not produce a result.

i: The test run did not produce a result.

j: The test run did not produce a result.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: MEMFDjihfe120240360480600SE +/- 14.06, N = 15390.83391.51538.85437.85430.061. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lz -pthread

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

Model: Tomographic Model

e: The test quit with a non-zero exit status.

f: The test quit with a non-zero exit status.

g: The test quit with a non-zero exit status.

h: The test quit with a non-zero exit status.

i: The test quit with a non-zero exit status.

j: The test quit with a non-zero exit status.

Model: Mount St. Helens

e: The test quit with a non-zero exit status.

f: The test quit with a non-zero exit status.

g: The test quit with a non-zero exit status.

h: The test quit with a non-zero exit status.

i: The test quit with a non-zero exit status.

j: The test quit with a non-zero exit status.

Model: Homogeneous Halfspace

e: The test quit with a non-zero exit status.

f: The test quit with a non-zero exit status.

g: The test quit with a non-zero exit status.

h: The test quit with a non-zero exit status.

i: The test quit with a non-zero exit status.

j: The test quit with a non-zero exit status.

Model: Water-layered Halfspace

e: The test quit with a non-zero exit status.

f: The test quit with a non-zero exit status.

g: The test quit with a non-zero exit status.

h: The test quit with a non-zero exit status.

i: The test quit with a non-zero exit status.

j: The test quit with a non-zero exit status.

Model: Layered Halfspace

e: The test quit with a non-zero exit status.

f: The test quit with a non-zero exit status.

g: The test quit with a non-zero exit status.

h: The test quit with a non-zero exit status.

i: The test quit with a non-zero exit status.

j: The test quit with a non-zero exit status.

Stress-NG

Test: IO_uring

e: The test run did not produce a result.

f: The test run did not produce a result.

g: The test run did not produce a result.

h: The test run did not produce a result.

i: The test run did not produce a result.

j: The test run did not produce a result.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

Build: allmodconfig

e: The test quit with a non-zero exit status.

f: The test quit with a non-zero exit status.

g: The test quit with a non-zero exit status.

h: The test quit with a non-zero exit status.

i: The test quit with a non-zero exit status.

j: The test quit with a non-zero exit status.

195 Results Shown

Stress-NG
Stress-NG
oneDNN
Stress-NG:
  Socket Activity
  NUMA
  Atomic
Stress-NG
Stress-NG
Stress-NG
Stress-NG
Stress-NG
Stress-NG
Stress-NG:
  Atomic
  MMAP
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
RocksDB
Stress-NG
Embree:
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
Stress-NG
RocksDB
nginx
Darmstadt Automotive Parallel Heterogeneous Suite
oneDNN
Embree
Memcached
Blender
Stress-NG
Blender
OpenSSL
Stress-NG
Stress-NG
OpenSSL
Darmstadt Automotive Parallel Heterogeneous Suite
TensorFlow
Blender
OpenSSL
John The Ripper
7-Zip Compression
Stress-NG:
  Glibc Qsort Data Sorting
  Crypto
  Vector Math
  SENDFILE
  MEMFD
OpenSSL
Stress-NG:
  CPU Stress
  Crypto
OpenSSL
Stress-NG
7-Zip Compression
Stress-NG
oneDNN
John The Ripper
oneDNN
OpenSSL
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
Stress-NG
Stress-NG
John The Ripper:
  Blowfish
  bcrypt
TensorFlow
Stress-NG
OpenSSL
oneDNN
Stress-NG
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
Stress-NG
RocksDB
nginx
OpenSSL
Stress-NG
Stress-NG
Timed LLVM Compilation
oneDNN:
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
Stress-NG
Timed Node.js Compilation
oneDNN
TensorFlow
oneDNN
TensorFlow
Memcached
nginx
TensorFlow:
  CPU - 64 - GoogLeNet
  CPU - 64 - ResNet-50
oneDNN:
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
TensorFlow:
  CPU - 512 - ResNet-50
  CPU - 512 - GoogLeNet
  CPU - 64 - AlexNet
  CPU - 32 - ResNet-50
Timed Godot Game Engine Compilation
TensorFlow
Timed LLVM Compilation
Timed Linux Kernel Compilation
OpenCV
TensorFlow
Memcached
oneDNN
NWChem
TensorFlow
nginx
Timed FFmpeg Compilation
OpenCV
TensorFlow
OpenCV
oneDNN
TensorFlow
OpenCV
oneDNN
Stress-NG
Stress-NG
OpenCV
oneDNN
OpenCV
RocksDB
SVT-AV1
Stress-NG
RocksDB
John The Ripper
OpenCV
Apache HTTP Server
RocksDB
oneDNN
Stress-NG
Stress-NG
oneDNN
SVT-AV1
FFmpeg:
  libx264 - Upload:
    Seconds
    FPS
  libx264 - Platform:
    FPS
    Seconds
  libx264 - Video On Demand:
    Seconds
    FPS
Stress-NG
FFmpeg:
  libx264 - Live:
    Seconds
    FPS
MariaDB
RocksDB
Darmstadt Automotive Parallel Heterogeneous Suite
oneDNN
OpenCV
SVT-AV1:
  Preset 13 - Bosphorus 1080p
  Preset 12 - Bosphorus 4K
Build2
FFmpeg:
  libx265 - Live:
    Seconds
    FPS
Apache HTTP Server
Stress-NG:
  Context Switching
  Forking
Apache HTTP Server:
  200
  1000
VVenC
FFmpeg:
  libx265 - Video On Demand:
    FPS
    Seconds
  libx265 - Upload:
    FPS
    Seconds
  libx265 - Platform:
    FPS
    Seconds
SVT-AV1
MariaDB
Google Draco
oneDNN
SVT-AV1
MariaDB:
  256
  1024
  512
VVenC
Stress-NG
Google Draco
VVenC
SVT-AV1
MariaDB
VVenC
DeepRec
PETSc
DeepRec:
  DLRM - BF16
  DIN - FP32
SVT-AV1
DeepRec:
  DLRM - FP32
  BST - BF16
  PLE - FP32
  BST - FP32
  MMOE - FP32
  DCNv2 - FP32
  PLE - BF16
  DCNv2 - BF16
Opus Codec Encoding
DeepRec
Stress-NG
Stress-NG