9654 new

2 x AMD EPYC 9654 96-Core testing with a AMD Titanite_4G (RTI1004D BIOS) and llvmpipe on Red Hat Enterprise Linux 9.1 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2303114-NE-9654NEW5019&sro&gru.

9654 newProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionOpenGLabcno smt ano smt bsmt asmt bsmt csmt dAMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads)AMD Titanite_4G (RTI1004D BIOS)AMD Device 14a4768GB2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007ASPEEDVGA HDMIBroadcom NetXtreme BCM5720 PCIeRed Hat Enterprise Linux 9.15.14.0-162.6.1.el9_1.x86_64 (x86_64)GNOME Shell 40.10X Server 1.20.11GCC 11.3.1 20220421xfs1600x12002 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores)1520GBllvmpipe4.5 Mesa 22.1.5 (LLVM 14.0.6 256 bits)1024x7682 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysCompiler Details- --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 Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111Python Details- Python 3.9.14Security Details- a: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - b: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - c: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - no smt a: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - no smt b: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - smt a: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - smt b: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - smt c: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - smt d: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

9654 newstress-ng: Hashstress-ng: MMAPstress-ng: NUMAstress-ng: Pollstress-ng: Futexstress-ng: MEMFDstress-ng: Mutexstress-ng: Atomicstress-ng: Cryptostress-ng: Mallocstress-ng: Forkingstress-ng: Pthreadstress-ng: SENDFILEstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Vector Mathstress-ng: Function Callstress-ng: Memory Copyingstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 1080p - Slowuvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Ultra Fastvpxenc: Speed 0 - Bosphorus 4Kvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 1080pvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasteropenvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalardeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedgromacs: MPI CPU - water_GMX50_barerocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randmemcached: 1:5memcached: 1:10memcached: 1:100clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streambuild-ffmpeg: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigabcno smt ano smt bsmt asmt bsmt csmt d189549361663.08483.912653709.642794694.37518.4659479783.64174.72203073.15312709034.0558156.36109397.781950323.9677.51205134.8718128283.29382305.69556875.59621015.3420106.518873.5818941003.9716257100.251122.3910473084.0949.7228.4727.972941.4795.765908.894914.17540.419494.225750.74112346.3674495.1740.6341.4139.92143.3180.981.983.45296.93307.49310.7329.3733.0381.1691.3768.8269.3370.56234.95238.68240.987.6817.3614.6929.375.8212.33612.4430.039108955642.989334.82621566.564197.1018401.776699.1493440.8533104.11781009.8486188.5378619.7531192.8806149.744660.2522314.836187.963142.958134.92893033.91514.81233.81669.3330.81704.819.11472.6892.71536.6938.51677.99.221383.710.569533927468231434544384542256376601929618529264584143044.216861088.894878860600.70625.91625.162.015811.564613.114970.534458.745761.877770.6933677.357461.170040.3114050.5552770.304972907.489674.088911.2450.4154461.831470.711588671.690.357017909.691675.9150.2639970.2902962.11671.461701.716.3499.328.119.7688.7110.18.340.651.091115.760228.707730.59245.0715119.206710.0811108.67759.596247.4645.301877.33635.1812319.981516.5828152.137711.3621116.42628.623312.56925.76818955118.11664.75498.6712661687.462805836.52507.7460031543.97223.29203147.15314418461.0258664.97109356.781913590.7767.21217072.2718100474.36382304.04556797.27621003.9220340.48851.6516313126.8616168655.171132.3510471889.9749.7228.4228.233085.5395.485894.274915.42541.039496.955720.9111378.3974353.4140.8641.39139.07144.2181.6180.6884.77290.59303.99305.5229.2933.1381.4191.4768.796970.68234.68239.92240.917.7117.3714.6729.55.80912.39112.39929.845107555742.89735.09621573.7496196.5414401.205398.6175439.0373104.29081012.3494181.8123619.9442193.5305149.820759.9222316.290789.335542.834834.818930951516.61239.316513321716.719.11467.8909.41537.5910.81673.79.291378.210.609534681466888888545556545396373002862035228919624162812.476792746.344876951.36610.79627.20628.371.92341.562574.278580.5130689.19571.729750.6890647.282431.166960.3127210.5519660.305731903.272671.654912.1140.5784661.841720.712495670.2020.356875917.077668.9520.2633730.291387962.631675.961685.2615.54500.838.139.7588.6110.18.380.661.091118.438328.486630.46085.0859119.379910.136109.11299.579347.35325.49877.3055.1633319.964816.6745151.600311.18721116.289928.713712.43425.74918961773.181668.92478.0512676101.412794473.75507.9759929401.4183.33203095.44313768771.2664299.62109609.151891202.3797.04217304.1918088584.67382328.5556833.5621041.9320297.918876.116862185.5416537965.141125.8610475486.3949.7728.3327.893174.0495.595898.794910.13535.789485.655724.81112186.2574486.0840.7641.47140.1143.8180.3184.5582.7291.03301.4309.6429.4133.181.191.2969.0469.9271.13237.44237.96238.777.717.4614.7629.465.80812.39912.44130.081106654942.743335.11881571.8281197.6601400.042798.5922438.4372113.50571013.7357181.7243625.5512193.3119149.690560.4884316.628289.54742.915234.99373049.41517.41241.11661.9330.11715.619.11470.5916.91540.9926.91675.49.3138410.587536551468069792543572544565356922831637929100234155273.466839975.874852421.67614.24621.88636.181.886861.567424.39720.5469913.830171.63860.6926677.381161.169190.3122890.5568510.305599906.139669.146915.0840.4171881.822640.708563671.2330.353175911.762667.950.262920.285432962.151679.031704.0215.1500.38.139.7689.4610.118.370.661.091122.058428.468730.49115.0573119.702610.1384109.24678.800447.29425.500776.61815.1696320.050416.5185151.389911.16051117.732328.569812.46525.6827408413.14520.4820.5110458275.243746361.52303.5663581395.67400.03435615.35456657338.8443094.9668076.033284433.240.94328297.0413141129.68932248.18920216.27829106.6311342.698968.2847222624.4926755146.691978.87402514.74109.0857.5857.187979.05208.8212119.6610556.931045.8120836.19784.09160545.41127833.5247.1347.97155.56159.6370.0275.576.05269.62288.41278.6234.5938.3887.1598.2157.1359.8357.78196.25181.67186.247.0414.4814.2829.625.8912.47712.35728.689109864797.444231.91463107.2957191.2605813.983272.1298941.2443101.00952204.7533166.27251291.9733131.7586308.429448.1849649.30269.106397.399631.31872804.21500.41227.51669.7279.9172819.81483.1955.61542.5859.91684.89.391395.819.1754786291209611055462018465700350673764383120798042444886.824244908.833192061.68635.48666.43665.002.040032.196454.878830.5560696.192572.022860.403599.252920.6642950.2548450.6643590.1603611148.26930.2571151.250.2916871.650410.462386913.2010.3428361147.34973.3180.3166650.316779438.29828.67833.996.01229.463.954.5445.869.184.90.571.01955.163131.32730.42135.2262116.153213.8559100.24189.889942.8056.011873.19937.5856304.207520.7385145.354814.4638956.008831.922910.59717.60627422305.533591.7119.7810393402.013802292.6308.6765500297.73395.95437065.75456651508.0445685.2867451.33282827.555.84326819.7213192391.85925984.24920642.34829445.3810949.98924.144683906.6828009942.561963.757372780.72109.0457.4957.197979.82210.1412128.3810549.241048.7420849.759758.74162294.47127770.3947.4347.93159.79161.469.9474.0374.37268.77280.18271.4534.6838.6588.1396.6758.0958.3357.23183.75216.15209.857.1614.513.7229.715.89512.3112.37428.52110865297.383829.75443086.3591175.3199817.631371.8878938.9084100.5092203.1573164.81261292.8038155.7357308.303348.9257647.759669.326697.344131.072865.91511.51234.21667.6278.21727.819.81483.81032.31538.88921682.89.761397.618.8374682101213540299452228464044344040791356820638312460416.334220522.493216133.91622.73649.52662.011.931262.123794.793020.6290267.988612.028330.4003259.317510.6513010.2557960.6705740.1648451124.75901.0441119.170.2912291.700570.461174903.3580.3472311139.63939.5470.2935640.340498438.99830.04834.176.01228.013.954.5445.739.184.910.581.01955.238633.601230.64035.7015115.636913.9039100.41989.939542.83936.06573.20876.4174303.737720.4223145.362714.4178955.343832.177810.66217.58641966139.678360.7624.8215359471.732333781.39464.7136339636.91184.34466292.12634718750.4136266.0274978.514329963.2647.58487359.3920047519.05946032.881291689.331414423.6515914.18748.9912895047.7335687958.372564.4810103952.13108.9357.7257.297953.21208.1312117.1610544.031049.1620610.239746.08173926.92148316.8864.6365.56132.67140.7875.9176.6477.96250.71296.72302.5545.5647.5680.1789.459.359.0657.96183.99178.49216.157.2413.914.0829.54131876497.024931.75923114.6848188.5826817.753677.8827929.0246121.92322230.3099139.09731306.6677132.8655314.618647.506658.211173.292497.291630.95722795.11515.61023.91664.3254.11723.718.81495.21051.41539.5853.81682.59.781393.518.818423027122566285241319941416838805215317250178768225202534530948.624383314.65500.13524.04534.827.605663.3915111.43260.97535715.4213.388330.53853920.26950.978590.407431.200490.2796381912.1631871830.410.4514722.708070.6725853269.050.6744551888.13133.650.5917380.621776439.41827.07833.156.02230.213.954.5445.719.284.920.530.97972.516331.480530.74625.3004117.123312.8322103.08888.191442.95157.186573.3067.5225303.327221.0323145.396613.637970.220232.295610.38117.37641989522.689017.1224.7715341564.162396325.93564.05135855921.28186.64466609.22634995429.6636020.16180407.594329824.3844.38487987.3219927313.52946660.881291704.571413555.4415430.188750.6112221058.3435996976.132520.388586858.51108.8957.6757.317949.05208.1912109.6410549.151050.3720610.629680.44175754.35147582.8766.2265.69136.33138.3374.1176.777274.63267.04295.1846.2546.6279.9589.757.8659.257.51209.55220.79179.566.9714.2713.5729.6124381096.90631.78063114.4293188.4147822.155277.4096927.679119.59642245.8036136.83241306.5839145.1736314.245245.9642658.34168.292497.352831.00932513.41519.11122.41671259.11726.319.51483.51038.91540.4852.71676.59.871392.419.01541788212311680934115134137084012951383068917614162507331.294392934.754357453.76516.09527.88538.637.42273.494537.301470.97170419.5493.596430.55178320.5720.9735550.4080741.181350.2910871890.283034.621937.650.4502612.76140.6727683249.280.6756641894.073222.930.6001990.620907439.5827.03832.76.03230.063.964.5445.669.284.950.530.97975.50431.459330.75085.3053116.481312.9106103.19028.350642.65367.305473.34966.8844304.078221.7398145.274514.6356969.212232.241510.25917.01741972765.937633.1624.7915228320.072067499.58413.34138939958.5184.24468159.21639757070.5234917.3977834.394351871.1242.55490300.4819866440.86952461.481295970.281422505.5115077.698747.8312328933.6534602827.772517.268609357.68109.3658.0557.717993.18210.1912168.0510603.841058.5720684.299773.26173620.31148047.1365.4965.59135.8140.8973.5778.7276.14243.36288.09303.4346.3446.5779.6389.1657.4458.3457.33192.25178.78218.286.9215.3813.9729.54123579396.997531.92773132.3838189.4054818.603770.1418937.99296.17372253.1411163.71111305.7137135.8907315.331848.772662.258570.382896.907729.41632604.61516.21005.81664249.81732.319.21475.21046.61540.9860.81683.79.82138919.04541600612345705124199854142823948521394891416139132517750.474549313.424394194.49495.85524.75530.479.349813.6019412.0130.9957118.65943.365350.54511821.03010.9728630.3943771.201460.2759171888.213011.211926.150.447822.702350.6767983153.220.6761241925.683185.640.5932990.634992437.51821.93826.675.99227.933.934.5245.319.254.90.530.96971.898831.314630.57845.2773116.968914.2486102.099910.385242.55216.105773.34077.355303.254920.4884144.466114.2011971.667733.987910.40717.05341965286.067273.1924.7115403597.242077119.76394.49137579874.56182.8468006640853365.5434685.8591735.754351920.4240.56489998.7519842969.28951700.171300693.931425621.4413370.338864.7812728401.4536111781.822516.0912418451.71109.235857.627990.47209.2412172.9210587.31057.7420679.689767.99172228.34149647.6866.0865.49135.56136.4273.2475.578.85270.76256.45303.6346.2546.218088.9157.5258.6658.76181.83218.91224.317.1515.1113.6829.66123878196.716930.24943116.0909183.949816.756275.524931.8223106.65182255.422139.82411301.1811141.4705316.032846.7815660.213266.08397.890831.07272528.71513.51024.81664.2256.21731.219.61479.110591543.6879.61677.69.811391.719.07741542812319161974205144140474044631309809717529042527084.874569476.864403267.42500.118340751515.11527.808.260783.5056312.15710.97509111.75732.974270.6306320.97260.9739840.3892231.23340.2478251957.773349.361883.760.4575542.673030.6803953171.150.6721151912.743172.190.6028310.627133437.68822.5828.016228.943.934.5245.349.264.910.530.97974.98533.051430.72475.4341117.221913.2331102.76469.365642.47987.14973.61967.064301.919221.3593144.914415.126966.760632.175810.37317.079OpenBenchmarking.org

Stress-NG

Test: Hash

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Hashabcno smt ano smt bsmt asmt bsmt csmt d9M18M27M36M45M18954936.0018955118.1018961773.1827408413.1027422305.5341966139.6741989522.6841972765.9341965286.061. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: MMAP

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: MMAPabcno smt ano smt bsmt asmt bsmt csmt d2K4K6K8K10K1663.081664.751668.924520.483591.718360.769017.127633.167273.191. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: NUMA

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: NUMAabcno smt ano smt bsmt asmt bsmt csmt d110220330440550483.90498.67478.0520.5119.7824.8224.7724.7924.711. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Poll

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Pollabcno smt ano smt bsmt asmt bsmt csmt d3M6M9M12M15M12653709.6412661687.4612676101.4110458275.2410393402.0115359471.7315341564.1615228320.0715403597.241. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Futex

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Futexabcno smt ano smt bsmt asmt bsmt csmt d800K1600K2400K3200K4000K2794694.372805836.522794473.753746361.523802292.602333781.392396325.932067499.582077119.761. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: MEMFD

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: MEMFDabcno smt ano smt bsmt asmt bsmt csmt d120240360480600518.46507.74507.97303.56308.67464.70564.05413.34394.491. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Mutex

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Mutexabcno smt ano smt bsmt asmt bsmt csmt d30M60M90M120M150M59479783.6460031543.9759929401.4063581395.6765500297.73136339636.91135855921.28138939958.50137579874.561. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Atomic

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Atomicabcno smt ano smt bsmt asmt bsmt csmt d90180270360450174.72223.29183.33400.03395.95184.34186.64184.24182.801. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Cryptoabcno smt ano smt bsmt asmt bsmt csmt d100K200K300K400K500K203073.15203147.15203095.44435615.35437065.75466292.12466609.22468159.21468006.001. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Malloc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Mallocabcno smt ano smt bsmt asmt bsmt csmt d140M280M420M560M700M312709034.05314418461.02313768771.26456657338.84456651508.04634718750.41634995429.66639757070.52640853365.541. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Forking

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Forkingabcno smt ano smt bsmt asmt bsmt csmt d14K28K42K56K70K58156.3658664.9764299.6243094.9645685.2836266.0236020.1634917.3934685.851. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Pthreadabcno smt ano smt bsmt asmt bsmt csmt d40K80K120K160K200K109397.78109356.78109609.1568076.0367451.3074978.51180407.5977834.3991735.751. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: SENDFILE

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: SENDFILEabcno smt ano smt bsmt asmt bsmt csmt d900K1800K2700K3600K4500K1950323.961913590.771891202.373284433.203282827.504329963.264329824.384351871.124351920.421. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: CPU Cacheabcno smt ano smt bsmt asmt bsmt csmt d2040608010077.5167.2197.0440.9455.8447.5844.3842.5540.561. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: CPU Stressabcno smt ano smt bsmt asmt bsmt csmt d110K220K330K440K550K205134.87217072.27217304.19328297.04326819.72487359.39487987.32490300.48489998.751. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Semaphores

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Semaphoresabcno smt ano smt bsmt asmt bsmt csmt d4M8M12M16M20M18128283.2918100474.3618088584.6713141129.6813192391.8520047519.0519927313.5219866440.8619842969.281. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Matrix Mathabcno smt ano smt bsmt asmt bsmt csmt d200K400K600K800K1000K382305.69382304.04382328.50932248.18925984.24946032.88946660.88952461.48951700.171. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Vector Mathabcno smt ano smt bsmt asmt bsmt csmt d300K600K900K1200K1500K556875.59556797.27556833.50920216.27920642.341291689.331291704.571295970.281300693.931. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Function Call

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Function Callabcno smt ano smt bsmt asmt bsmt csmt d300K600K900K1200K1500K621015.34621003.92621041.93829106.63829445.381414423.651413555.441422505.511425621.441. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Memory Copying

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Memory Copyingabcno smt ano smt bsmt asmt bsmt csmt d4K8K12K16K20K20106.5120340.4020297.9111342.6910949.9015914.1015430.1815077.6913370.331. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Socket Activityabcno smt ano smt bsmt asmt bsmt csmt d2K4K6K8K10K8873.588851.658876.108968.288924.108748.998750.618747.838864.781. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Context Switchingabcno smt ano smt bsmt asmt bsmt csmt d10M20M30M40M50M18941003.9716313126.8616862185.5447222624.4944683906.6812895047.7312221058.3412328933.6512728401.451. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Glibc C String Functions

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Glibc C String Functionsabcno smt ano smt bsmt asmt bsmt csmt d8M16M24M32M40M16257100.2516168655.1716537965.1426755146.6928009942.5635687958.3735996976.1334602827.7736111781.821. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: Glibc Qsort Data Sorting

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: Glibc Qsort Data Sortingabcno smt ano smt bsmt asmt bsmt csmt d60012001800240030001122.391132.351125.861978.801963.752564.482520.382517.262516.091. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

Stress-NG

Test: System V Message Passing

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.04Test: System V Message Passingabcno smt ano smt bsmt asmt bsmt csmt d3M6M9M12M15M10473084.0910471889.9710475486.397402514.747372780.7210103952.138586858.518609357.6812418451.711. (CC) gcc options: -std=gnu99 -O2 -lm -lc -lcrypt -ldl -lrt -pthread

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2040608010049.7249.7249.77109.08109.04108.93108.89109.36109.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d132639526528.4728.4228.3357.5857.4957.7257.6758.0558.001. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d132639526527.9728.2327.8957.1857.1957.2957.3157.7157.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2K4K6K8K10K2941.473085.533174.047979.057979.827953.217949.057993.187990.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d5010015020025095.7695.4895.59208.82210.14208.13208.19210.19209.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d3K6K9K12K15K5908.895894.275898.7912119.6612128.3812117.1612109.6412168.0512172.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2K4K6K8K10K4914.174915.424910.1310556.9310549.2410544.0310549.1510603.8410587.301. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2004006008001000540.41541.03535.781045.811048.741049.161050.371058.571057.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d4K8K12K16K20K9494.229496.959485.6520836.1020849.7520610.2320610.6220684.2920679.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2K4K6K8K10K5750.745720.905724.819784.099758.749746.089680.449773.269767.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d40K80K120K160K200K112346.36111378.39112186.25160545.41162294.47173926.92175754.35173620.31172228.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d30K60K90K120K150K74495.1774353.4174486.08127833.52127770.39148316.88147582.87148047.13149647.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Slowabcno smt ano smt bsmt asmt bsmt csmt d153045607540.6340.8640.7647.1347.4364.6366.2265.4966.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Mediumabcno smt ano smt bsmt asmt bsmt csmt d153045607541.4041.3941.4747.9747.9365.5665.6965.5965.491. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Slowabcno smt ano smt bsmt asmt bsmt csmt d4080120160200139.92139.07140.10155.56159.79132.67136.33135.80135.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Mediumabcno smt ano smt bsmt asmt bsmt csmt d4080120160200143.31144.21143.81159.63161.40140.78138.33140.89136.421. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Fastabcno smt ano smt bsmt asmt bsmt csmt d2040608010080.9081.6180.3170.0269.9475.9174.1173.5773.241. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Fastabcno smt ano smt bsmt asmt bsmt csmt d2040608010081.9080.6884.5575.5074.0376.6476.7078.7275.501. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Fastabcno smt ano smt bsmt asmt bsmt csmt d2040608010083.4584.7782.7076.0574.3777.9677.0076.1478.851. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very Fastabcno smt ano smt bsmt asmt bsmt csmt d60120180240300296.93290.59291.03269.62268.77250.71274.63243.36270.761. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super Fastabcno smt ano smt bsmt asmt bsmt csmt d70140210280350307.49303.99301.40288.41280.18296.72267.04288.09256.451. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra Fastabcno smt ano smt bsmt asmt bsmt csmt d70140210280350310.73305.52309.64278.62271.45302.55295.18303.43303.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Slowabcno smt ano smt bsmt asmt bsmt csmt d112233445529.3729.2929.4134.5934.6845.5646.2546.3446.25

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Mediumabcno smt ano smt bsmt asmt bsmt csmt d112233445533.0333.1333.1038.3838.6547.5646.6246.5746.21

uvg266

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Slowabcno smt ano smt bsmt asmt bsmt csmt d2040608010081.1681.4181.1087.1588.1380.1779.9579.6380.00

uvg266

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Mediumabcno smt ano smt bsmt asmt bsmt csmt d2040608010091.3791.4791.2998.2196.6789.4089.7089.1688.91

uvg266

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Fastabcno smt ano smt bsmt asmt bsmt csmt d153045607568.8268.7969.0457.1358.0959.3057.8657.4457.52

uvg266

Video Input: Bosphorus 4K - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Fastabcno smt ano smt bsmt asmt bsmt csmt d163248648069.3369.0069.9259.8358.3359.0659.2058.3458.66

uvg266

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Fastabcno smt ano smt bsmt asmt bsmt csmt d163248648070.5670.6871.1357.7857.2357.9657.5157.3358.76

uvg266

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very Fastabcno smt ano smt bsmt asmt bsmt csmt d50100150200250234.95234.68237.44196.25183.75183.99209.55192.25181.83

uvg266

Video Input: Bosphorus 1080p - Video Preset: Super Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super Fastabcno smt ano smt bsmt asmt bsmt csmt d50100150200250238.68239.92237.96181.67216.15178.49220.79178.78218.91

uvg266

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra Fastabcno smt ano smt bsmt asmt bsmt csmt d50100150200250240.98240.91238.77186.24209.85216.15179.56218.28224.31

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4Kabcno smt ano smt bsmt asmt bsmt csmt d2468107.687.717.707.047.167.246.976.927.151. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4Kabcno smt ano smt bsmt asmt bsmt csmt d4812162017.3617.3717.4614.4814.5013.9014.2715.3815.111. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pabcno smt ano smt bsmt asmt bsmt csmt d4812162014.6914.6714.7614.2813.7214.0813.5713.9713.681. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pabcno smt ano smt bsmt asmt bsmt csmt d71421283529.3729.5029.4629.6229.7129.5429.6029.5429.661. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fastabcno smt ano smt b1.32642.65283.97925.30566.6325.8205.8095.8085.8905.8951. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fasterabcno smt ano smt b369121512.3412.3912.4012.4812.311. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

VVenC

Video Input: Bosphorus 1080p - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: Fastabcno smt ano smt b369121512.4412.4012.4412.3612.371. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

VVenC

Video Input: Bosphorus 1080p - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: Fasterabcno smt ano smt b71421283530.0429.8530.0828.6928.521. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

OpenVKL

Benchmark: vklBenchmark ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCabcno smt ano smt bsmt asmt bsmt csmt d30060090012001500108910751066109811081318124312351238MIN: 179 / MAX: 7194MIN: 179 / MAX: 6442MIN: 180 / MAX: 6427MIN: 297 / MAX: 4284MIN: 297 / MAX: 4208MIN: 391 / MAX: 3855MIN: 390 / MAX: 3501MIN: 392 / MAX: 4332MIN: 392 / MAX: 3738

OpenVKL

Benchmark: vklBenchmark Scalar

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark Scalarabcno smt ano smt bsmt asmt bsmt csmt d2004006008001000556557549647652764810793781MIN: 61 / MAX: 5994MIN: 61 / MAX: 6019MIN: 60 / MAX: 5475MIN: 101 / MAX: 4024MIN: 102 / MAX: 3990MIN: 139 / MAX: 3808MIN: 138 / MAX: 3650MIN: 139 / MAX: 3583MIN: 139 / MAX: 3776

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d2040608010042.9942.9042.7497.4497.3897.0296.9197.0096.72

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d81624324034.8335.1035.1231.9129.7531.7631.7831.9330.25

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d70014002100280035001566.561573.751571.833107.303086.363114.683114.433132.383116.09

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d4080120160200197.10196.54197.66191.26175.32188.58188.41189.41183.95

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d2004006008001000401.78401.21400.04813.98817.63817.75822.16818.60816.76

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d2040608010099.1598.6298.5972.1371.8977.8877.4170.1475.52

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d2004006008001000440.85439.04438.44941.24938.91929.02927.68937.99931.82

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d306090120150104.12104.29113.51101.01100.51121.92119.6096.17106.65

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d50010001500200025001009.851012.351013.742204.752203.162230.312245.802253.142255.42

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d4080120160200188.54181.81181.72166.27164.81139.10136.83163.71139.82

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d30060090012001500619.75619.94625.551291.971292.801306.671306.581305.711301.18

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d4080120160200192.88193.53193.31131.76155.74132.87145.17135.89141.47

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d70140210280350149.74149.82149.69308.43308.30314.62314.25315.33316.03

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d142842567060.2559.9260.4948.1848.9347.5145.9648.7746.78

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d140280420560700314.84316.29316.63649.30647.76658.21658.34662.26660.21

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d2040608010087.9689.3489.5569.1169.3373.2968.2970.3866.08

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d2040608010042.9642.8342.9297.4097.3497.2997.3596.9197.89

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d81624324034.9334.8234.9931.3231.0730.9631.0129.4231.07

Zstd Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression Speedabcno smt ano smt bsmt asmt bsmt csmt d70014002100280035003033.93095.03049.42804.22865.92795.12513.42604.62528.71. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression Speedabcno smt ano smt bsmt asmt bsmt csmt d300600900120015001514.81516.61517.41500.41511.51515.61519.11516.21513.51. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 8 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression Speedabcno smt ano smt bsmt asmt bsmt csmt d300600900120015001233.81239.31241.11227.51234.21023.91122.41005.81024.81. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 8 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression Speedabcno smt ano smt bsmt asmt bsmt csmt d4008001200160020001669.31651.01661.91669.71667.61664.31671.01664.01664.21. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 12 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedabcno smt ano smt bsmt asmt bsmt csmt d70140210280350330.8332.0330.1279.9278.2254.1259.1249.8256.21. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 12 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedabcno smt ano smt bsmt asmt bsmt csmt d4008001200160020001704.81716.71715.61728.01727.81723.71726.31732.31731.21. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 19 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedabcno smt ano smt bsmt asmt bsmt csmt d51015202519.119.119.119.819.818.819.519.219.61. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedabcno smt ano smt bsmt asmt bsmt csmt d300600900120015001472.61467.81470.51483.11483.81495.21483.51475.21479.11. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 3, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression Speedabcno smt ano smt bsmt asmt bsmt csmt d2004006008001000892.7909.4916.9955.61032.31051.41038.91046.61059.01. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 3, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression Speedabcno smt ano smt bsmt asmt bsmt csmt d300600900120015001536.61537.51540.91542.51538.81539.51540.41540.91543.61. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 8, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression Speedabcno smt ano smt bsmt asmt bsmt csmt d2004006008001000938.5910.8926.9859.9892.0853.8852.7860.8879.61. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 8, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression Speedabcno smt ano smt bsmt asmt bsmt csmt d4008001200160020001677.91673.71675.41684.81682.81682.51676.51683.71677.61. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedabcno smt ano smt bsmt asmt bsmt csmt d36912159.229.299.309.399.769.789.879.829.811. (CC) gcc options: -O3 -pthread -lz

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedabcno smt ano smt bsmt asmt bsmt csmt d300600900120015001383.71378.21384.01395.81397.61393.51392.41389.01391.71. (CC) gcc options: -O3 -pthread -lz

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareabcno smt ano smt bsmt asmt bsmt csmt d51015202510.5710.6110.5919.1818.8418.8219.0219.0519.081. (CXX) g++ options: -O3

RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fillabcno smt ano smt bsmt asmt bsmt csmt d110K220K330K440K550K5339275346815365514786294682104230274178824160064154281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Readabcno smt ano smt bsmt asmt bsmt csmt d300M600M900M1200M1500M4682314344668888884680697921209611055121354029912256628521231168093123457051212319161971. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Update Randomabcno smt ano smt bsmt asmt bsmt csmt d120K240K360K480K600K5443845455565435724620184522284131994115134199854205141. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Sequential Fillabcno smt ano smt bsmt asmt bsmt csmt d120K240K360K480K600K5422565453965445654657004640444141684137084142824140471. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill Syncabcno smt ano smt bsmt asmt bsmt csmt d90K180K270K360K450K3766013730023569223506733440403880524012953948524044631. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read While Writingabcno smt ano smt bsmt asmt bsmt csmt d3M6M9M12M15M92961858620352831637976438317913568153172501383068913948914130980971. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read Random Write Randomabcno smt ano smt bsmt asmt bsmt csmt d600K1200K1800K2400K3000K2926458289196229100232079804206383117876821761416161391317529041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Memcached

Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:5abcno smt ano smt bsmt asmt bsmt csmt d900K1800K2700K3600K4500K4143044.214162812.474155273.462444886.822460416.332520253.002507331.292517750.472527084.871. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:10abcno smt ano smt bsmt asmt bsmt csmt d1.5M3M4.5M6M7.5M6861088.896792746.346839975.874244908.834220522.494530948.624392934.754549313.424569476.861. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:100abcno smt ano smt bsmt asmt bsmt csmt d1000K2000K3000K4000K5000K4878860.004876951.364852421.673192061.683216133.914383314.654357453.764394194.494403267.421. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cacheabcno smt ano smt bsmt asmt bsmt csmt d140280420560700600.70610.79614.24635.48622.73500.13516.09495.85500.12MIN: 57.75 / MAX: 6000MIN: 58.14 / MAX: 6666.67MIN: 57.14 / MAX: 6666.67MIN: 85.35 / MAX: 6000MIN: 83.22 / MAX: 5454.55MIN: 65.15 / MAX: 6000MIN: 89.55 / MAX: 6000MIN: 51.06 / MAX: 6000MIN: 69.61 / MAX: 6000

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runabcno smt ano smt bsmt asmt bsmt csmt d140280420560700625.91627.20621.88666.43649.52524.04527.88524.75515.11MIN: 56.13 / MAX: 7500MIN: 58.54 / MAX: 6000MIN: 58.54 / MAX: 6666.67MIN: 85.11 / MAX: 6666.67MIN: 86.46 / MAX: 6000MIN: 90.5 / MAX: 6666.67MIN: 90.63 / MAX: 6666.67MIN: 90.23 / MAX: 6000MIN: 88.5 / MAX: 6000

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runabcno smt ano smt bsmt asmt bsmt csmt d140280420560700625.16628.37636.18665.00662.01534.82538.63530.47527.80MIN: 57.69 / MAX: 6000MIN: 58.37 / MAX: 6666.67MIN: 58.03 / MAX: 6666.67MIN: 85.84 / MAX: 6000MIN: 86.33 / MAX: 6000MIN: 91.32 / MAX: 6000MIN: 89.82 / MAX: 6000MIN: 92.02 / MAX: 5454.55MIN: 81.52 / MAX: 6000

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d36912152.015811.923401.886862.040031.931267.605667.422709.349818.26078MIN: 1.81MIN: 1.72MIN: 1.68MIN: 1.78MIN: 1.77MIN: 6.54MIN: 6.44MIN: 7.73MIN: 7.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.81041.62082.43123.24164.0521.564611.562571.567422.196452.123793.391513.494533.601943.50563MIN: 1.41MIN: 1.41MIN: 1.39MIN: 2MIN: 1.9MIN: 2.93MIN: 3.11MIN: 3.08MIN: 3.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d36912153.114974.278584.397204.878834.7930211.432607.3014712.0130012.15710MIN: 2.47MIN: 3.37MIN: 3.21MIN: 3.53MIN: 3.4MIN: 7.59MIN: 5.77MIN: 8.02MIN: 8.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.2240.4480.6720.8961.120.5344500.5130680.5469910.5560690.6290260.9753570.9717040.9957100.975091MIN: 0.49MIN: 0.47MIN: 0.5MIN: 0.46MIN: 0.51MIN: 0.92MIN: 0.82MIN: 0.87MIN: 0.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d5101520258.745769.195703.830176.192577.9886115.4210019.5490018.6594011.75730MIN: 3.65MIN: 4.13MIN: 2.72MIN: 3.65MIN: 3.88MIN: 10.4MIN: 10.67MIN: 11.23MIN: 8.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.80921.61842.42763.23684.0461.877771.729751.638602.022862.028333.388333.596433.365352.97427MIN: 1.23MIN: 1.27MIN: 1.2MIN: 1.56MIN: 1.43MIN: 2.76MIN: 2.7MIN: 2.7MIN: 2.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.1560.3120.4680.6240.780.6933670.6890640.6926670.4035900.4003250.5385390.5517830.5451180.630630MIN: 0.64MIN: 0.64MIN: 0.65MIN: 0.38MIN: 0.38MIN: 0.48MIN: 0.49MIN: 0.45MIN: 0.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d5101520257.357467.282437.381169.252929.3175120.2695020.5720021.0301020.97260MIN: 4.85MIN: 6.58MIN: 6.77MIN: 7.79MIN: 8.07MIN: 17.68MIN: 18.25MIN: 17.96MIN: 18.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.26330.52660.78991.05321.31651.1700401.1669601.1691900.6642950.6513010.9785900.9735550.9728630.973984MIN: 1.07MIN: 1.07MIN: 1.07MIN: 0.63MIN: 0.62MIN: 0.93MIN: 0.92MIN: 0.92MIN: 0.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.09180.18360.27540.36720.4590.3114050.3127210.3122890.2548450.2557960.4074300.4080740.3943770.389223MIN: 0.3MIN: 0.28MIN: 0.28MIN: 0.18MIN: 0.18MIN: 0.27MIN: 0.27MIN: 0.29MIN: 0.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.27750.5550.83251.111.38750.5552770.5519660.5568510.6643590.6705741.2004901.1813501.2014601.233400MIN: 0.53MIN: 0.49MIN: 0.53MIN: 0.56MIN: 0.55MIN: 1.04MIN: 1.08MIN: 1.08MIN: 1.081. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.06880.13760.20640.27520.3440.3049720.3057310.3055990.1603610.1648450.2796380.2910870.2759170.247825MIN: 0.28MIN: 0.28MIN: 0.28MIN: 0.15MIN: 0.15MIN: 0.23MIN: 0.23MIN: 0.23MIN: 0.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d400800120016002000907.49903.27906.141148.261124.751912.161890.281888.211957.77MIN: 897.95MIN: 894.76MIN: 898.41MIN: 1108.42MIN: 1091.36MIN: 1891.03MIN: 1864.29MIN: 1860.29MIN: 1929.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d7001400210028003500674.09671.65669.15930.26901.043187.003034.623011.213349.36MIN: 667.01MIN: 664.19MIN: 661.71MIN: 898.89MIN: 864.28MIN: 3034.82MIN: 2821.2MIN: 2853.26MIN: 3325.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d400800120016002000911.25912.11915.081151.251119.171830.411937.651926.151883.76MIN: 903.01MIN: 902.43MIN: 906.26MIN: 1070.35MIN: 1086.08MIN: 1807.97MIN: 1908.65MIN: 1901.09MIN: 1850.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.13020.26040.39060.52080.6510.4154460.5784660.4171880.2916870.2912290.4514720.4502610.4478200.457554MIN: 0.4MIN: 0.4MIN: 0.4MIN: 0.27MIN: 0.27MIN: 0.4MIN: 0.37MIN: 0.37MIN: 0.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.62131.24261.86392.48523.10651.831471.841721.822641.650411.700572.708072.761402.702352.67303MIN: 1.73MIN: 1.76MIN: 1.71MIN: 1.41MIN: 1.5MIN: 2.09MIN: 2.46MIN: 2.27MIN: 2.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.16030.32060.48090.64120.80150.7115880.7124950.7085630.4623860.4611740.6725850.6727680.6767980.680395MIN: 0.68MIN: 0.68MIN: 0.67MIN: 0.42MIN: 0.43MIN: 0.52MIN: 0.53MIN: 0.53MIN: 0.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d7001400210028003500671.69670.20671.23913.20903.363269.053249.283153.223171.15MIN: 664.46MIN: 663.54MIN: 662.9MIN: 884.92MIN: 874.93MIN: 3243.11MIN: 3226.78MIN: 3059.88MIN: 3148.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.15210.30420.45630.60840.76050.3570170.3568750.3531750.3428360.3472310.6744550.6756640.6761240.672115MIN: 0.31MIN: 0.31MIN: 0.31MIN: 0.28MIN: 0.3MIN: 0.49MIN: 0.55MIN: 0.49MIN: 0.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d400800120016002000909.69917.08911.761147.341139.631888.101894.071925.681912.74MIN: 901.1MIN: 909.14MIN: 901.88MIN: 1109.85MIN: 1100.83MIN: 1865.76MIN: 1870.66MIN: 1901.2MIN: 1890.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d7001400210028003500675.92668.95667.95973.32939.553133.653222.933185.643172.19MIN: 668.99MIN: 662.29MIN: 660.93MIN: 937.3MIN: 904.78MIN: 3037.06MIN: 2927.41MIN: 2949.58MIN: 3155.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.13560.27120.40680.54240.6780.2639970.2633730.2629200.3166650.2935640.5917380.6001990.5932990.602831MIN: 0.18MIN: 0.2MIN: 0.2MIN: 0.24MIN: 0.22MIN: 0.43MIN: 0.38MIN: 0.39MIN: 0.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.14290.28580.42870.57160.71450.2902000.2913870.2854320.3167790.3404980.6217760.6209070.6349920.627133MIN: 0.25MIN: 0.23MIN: 0.24MIN: 0.25MIN: 0.28MIN: 0.45MIN: 0.41MIN: 0.55MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2004006008001000962.10962.63962.15438.29438.99439.41439.50437.51437.68MIN: 879.24 / MAX: 1018.81MIN: 893.43 / MAX: 1015.71MIN: 888.7 / MAX: 1017.92MIN: 416.93 / MAX: 496.86MIN: 427.57 / MAX: 484.31MIN: 410.81 / MAX: 465.4MIN: 424.22 / MAX: 477.66MIN: 400.05 / MAX: 473.91MIN: 394.89 / MAX: 478.581. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d4008001200160020001671.461675.961679.03828.67830.04827.07827.03821.93822.50MIN: 924.15 / MAX: 1977.46MIN: 1231.52 / MAX: 1967.75MIN: 865.58 / MAX: 1995.12MIN: 730.29 / MAX: 1036.1MIN: 722.6 / MAX: 1015.67MIN: 724.84 / MAX: 1037.91MIN: 723.77 / MAX: 1003.25MIN: 725.25 / MAX: 1010.56MIN: 717.65 / MAX: 997.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d4008001200160020001701.701685.261704.02833.99834.17833.15832.70826.67828.01MIN: 1395.71 / MAX: 2063.97MIN: 891.16 / MAX: 1979.37MIN: 828.99 / MAX: 1969.02MIN: 723.91 / MAX: 1011.94MIN: 732.01 / MAX: 1006.46MIN: 725.84 / MAX: 1017.38MIN: 723.65 / MAX: 1031.69MIN: 724.1 / MAX: 1006.75MIN: 716.19 / MAX: 1018.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d4812162016.3015.5415.106.016.016.026.035.996.00MIN: 7.91 / MAX: 51.62MIN: 8.28 / MAX: 57.72MIN: 6.94 / MAX: 60.59MIN: 5.2 / MAX: 37.8MIN: 5.02 / MAX: 36.88MIN: 5.27 / MAX: 25.12MIN: 5.17 / MAX: 38.35MIN: 5.13 / MAX: 31.29MIN: 5.21 / MAX: 25.511. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d110220330440550499.32500.83500.30229.46228.01230.21230.06227.93228.94MIN: 264.54 / MAX: 537.26MIN: 418.76 / MAX: 546.62MIN: 410.04 / MAX: 531.93MIN: 217.93 / MAX: 265.81MIN: 212.99 / MAX: 267.17MIN: 211.56 / MAX: 253.58MIN: 210.58 / MAX: 251.42MIN: 210.46 / MAX: 252.96MIN: 214.92 / MAX: 248.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2468108.118.138.133.953.953.953.963.933.93MIN: 5.39 / MAX: 69.87MIN: 5.35 / MAX: 55.84MIN: 3.83 / MAX: 59.87MIN: 3.61 / MAX: 38MIN: 3.68 / MAX: 42.53MIN: 3.61 / MAX: 34.38MIN: 3.66 / MAX: 32.83MIN: 3.61 / MAX: 42.82MIN: 3.61 / MAX: 23.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d36912159.769.759.764.544.544.544.544.524.52MIN: 5.03 / MAX: 28.1MIN: 5.25 / MAX: 35.53MIN: 4.98 / MAX: 36.12MIN: 4.12 / MAX: 27.91MIN: 4.09 / MAX: 55.78MIN: 4.07 / MAX: 35.16MIN: 4.11 / MAX: 42.14MIN: 4.12 / MAX: 33.17MIN: 4.03 / MAX: 45.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2040608010088.7188.6189.4645.8645.7345.7145.6645.3145.34MIN: 44.2 / MAX: 132.86MIN: 47.57 / MAX: 124.67MIN: 42.16 / MAX: 123.4MIN: 39.29 / MAX: 91.13MIN: 39.68 / MAX: 86.83MIN: 39.78 / MAX: 73.33MIN: 38.82 / MAX: 75.65MIN: 39.35 / MAX: 73.19MIN: 39.4 / MAX: 73.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d369121510.1010.1010.119.189.189.289.289.259.26MIN: 5.46 / MAX: 35.41MIN: 5.47 / MAX: 28.16MIN: 5.43 / MAX: 36.27MIN: 8.17 / MAX: 31.1MIN: 8.21 / MAX: 24.31MIN: 8.1 / MAX: 22.87MIN: 8.13 / MAX: 24.28MIN: 8.12 / MAX: 19.04MIN: 8.12 / MAX: 30.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d2468108.348.388.374.904.914.924.954.904.91MIN: 6.61 / MAX: 55.54MIN: 6.4 / MAX: 32.33MIN: 6.83 / MAX: 50.24MIN: 4.46 / MAX: 56.52MIN: 4.49 / MAX: 34.72MIN: 4.52 / MAX: 34.8MIN: 4.54 / MAX: 24.23MIN: 4.5 / MAX: 29.95MIN: 4.51 / MAX: 27.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.14850.2970.44550.5940.74250.650.660.660.570.580.530.530.530.53MIN: 0.32 / MAX: 20.68MIN: 0.32 / MAX: 19.99MIN: 0.31 / MAX: 22.67MIN: 0.5 / MAX: 13.02MIN: 0.5 / MAX: 12.8MIN: 0.5 / MAX: 24.2MIN: 0.5 / MAX: 9.61MIN: 0.5 / MAX: 9.15MIN: 0.5 / MAX: 8.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcno smt ano smt bsmt asmt bsmt csmt d0.24530.49060.73590.98121.22651.091.091.091.011.010.970.970.960.97MIN: 0.49 / MAX: 19.01MIN: 0.48 / MAX: 25.82MIN: 0.49 / MAX: 22.06MIN: 0.86 / MAX: 8.97MIN: 0.86 / MAX: 8.72MIN: 0.87 / MAX: 9.78MIN: 0.87 / MAX: 10.96MIN: 0.87 / MAX: 9.72MIN: 0.86 / MAX: 13.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d20040060080010001115.761118.441122.06955.16955.24972.52975.50971.90974.99

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d81624324028.7128.4928.4731.3333.6031.4831.4631.3133.05

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d71421283530.5930.4630.4930.4230.6430.7530.7530.5830.72

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d1.28282.56563.84845.13126.4145.07155.08595.05735.22625.70155.30045.30535.27735.4341

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d306090120150119.21119.38119.70116.15115.64117.12116.48116.97117.22

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d4812162010.0810.1410.1413.8613.9012.8312.9114.2513.23

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d20406080100108.68109.11109.25100.24100.42103.09103.19102.10102.76

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d36912159.59629.57938.80049.88999.93958.19148.350610.38529.3656

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d112233445547.4647.3547.2942.8142.8442.9542.6542.5542.48

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d2468105.30185.49805.50076.01186.06507.18657.30546.10577.1490

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d2040608010077.3477.3176.6273.2073.2173.3173.3573.3473.62

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d2468105.18125.16335.16967.58566.41747.52256.88447.35507.0640

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d70140210280350319.98319.96320.05304.21303.74303.33304.08303.25301.92

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d51015202516.5816.6716.5220.7420.4221.0321.7420.4921.36

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d306090120150152.14151.60151.39145.35145.36145.40145.27144.47144.91

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d4812162011.3611.1911.1614.4614.4213.6414.6414.2015.13

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabcno smt ano smt bsmt asmt bsmt csmt d20040060080010001116.431116.291117.73956.01955.34970.22969.21971.67966.76

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamabcno smt ano smt bsmt asmt bsmt csmt d81624324028.6228.7128.5731.9232.1832.3032.2433.9932.18

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.0Time To Compileabcno smt ano smt bsmt asmt bsmt csmt d369121512.5712.4312.4710.6010.6610.3810.2610.4110.37

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigabcno smt ano smt bsmt asmt bsmt csmt d61218243025.7725.7525.6817.6117.5917.3817.0217.0517.08


Phoronix Test Suite v10.8.4