dddas

AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 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 2306247-NE-DDDAS346146
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
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Fortran Tests 5 Tests
HPC - High Performance Computing 10 Tests
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June 23 2023
  13 Hours, 58 Minutes
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June 24 2023
  4 Hours, 14 Minutes
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  9 Hours, 6 Minutes
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dddasOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)ASUS ROG ZENITH II EXTREME (1603 BIOS)AMD Starship/Matisse64GBSamsung SSD 980 PRO 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioASUS VP28UAquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.045.19.0-051900rc7-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47)1.2.204GCC 11.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionDddas PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830104d- BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: 113-D1820201-101- Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + 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 STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+53%+53%+106%+106%+159%+159%211.8%19.1%18%8.9%8.1%6.8%4%3.9%3.6%3.5%3.5%3%2.6%2.6%2.6%2.6%2.5%2.2%2.1%2%2%Socket ActivityFill Sync50.5%Fill Sync50%IP Shapes 1D - f32 - CPUPipeggml-small.en - 2.S.o.t.UIP Shapes 1D - u8s8f32 - CPUSemaphoresCPU Cache5.8%D.B.s - u8s8f32 - CPU5.1%N.Q.A.B.b.u.S.1.P - S.S.SN.Q.A.B.b.u.S.1.P - S.S.SIP Shapes 3D - u8s8f32 - CPU3.9%ggml-base.en - 2.S.o.t.UC.C.R.5.I - S.S.SC.C.R.5.I - S.S.SFeCO6_b3lyp_gmsVector Shuffle2.8%Li2_STO_aeSENDFILEN.T.C.D.m - S.S.SN.T.C.D.m - S.S.S28R.N.N.I - u8s8f32 - CPU2.2%2560 x 1440 - LowH20-64Seek RandStress-NGLevelDBLevelDBoneDNNStress-NGWhisper.cpponeDNNStress-NGStress-NGoneDNNNeural Magic DeepSparseNeural Magic DeepSparseoneDNNWhisper.cppNeural Magic DeepSparseNeural Magic DeepSparseQMCPACKStress-NGQMCPACKStress-NGNeural Magic DeepSparseNeural Magic DeepSparseSQLiteSQLiteoneDNNXonoticCP2K Molecular DynamicsLevelDBab

dddasstress-ng: Hashstress-ng: MMAPstress-ng: NUMAstress-ng: Pipelibxsmm: 32stress-ng: Pollstress-ng: Zlibstress-ng: Futexstress-ng: MEMFDstress-ng: Mutexstress-ng: Atomicstress-ng: Cryptostress-ng: Mallocstress-ng: Cloningstress-ng: Forkingstress-ng: Pthreadstress-ng: AVL Treestress-ng: IO_uringstress-ng: SENDFILEstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathlaghos: Sedov Blast Wave, ube_922_hex.meshstress-ng: Vector Mathstress-ng: Function Callstress-ng: Floating Pointstress-ng: Matrix 3D Mathstress-ng: Memory Copyingstress-ng: Vector Shufflestress-ng: Socket Activitystress-ng: Wide Vector Mathstress-ng: Context Switchingstress-ng: Fused Multiply-Addstress-ng: Vector Floating Pointstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortinglibxsmm: 64stress-ng: System V Message Passinglibxsmm: 256libxsmm: 128laghos: Triple Point Problemencode-opus: WAV To Opus Encodepalabos: 500palabos: 100palabos: 400heffte: r2c - Stock - double-long - 256heffte: r2c - Stock - double-long - 512xonotic: 1920 x 1080 - Lowxonotic: 1920 x 1200 - Lowheffte: c2c - Stock - double-long - 128heffte: c2c - Stock - double-long - 256heffte: r2c - FFTW - double-long - 256heffte: r2c - FFTW - double-long - 512heffte: r2c - FFTW - double-long - 128heffte: c2c - FFTW - double-long - 512heffte: c2c - FFTW - double-long - 256espeak: Text-To-Speech Synthesisheffte: c2c - Stock - double-long - 512xonotic: 2560 x 1440 - Lowheffte: r2c - Stock - double-long - 128heffte: c2c - FFTW - double-long - 128xonotic: 3840 x 2160 - Lowxonotic: 1920 x 1080 - Highxonotic: 1920 x 1200 - Highxonotic: 2560 x 1440 - Highxonotic: 3840 x 2160 - Highz3: 2.smt2xonotic: 1920 x 1080 - Ultraz3: 1.smt2remhos: Sample Remap Examplexonotic: 1920 x 1200 - Ultraxonotic: 2560 x 1440 - Ultraxonotic: 3840 x 2160 - Ultraxonotic: 1920 x 1080 - Ultimatexonotic: 1920 x 1200 - Ultimatexonotic: 2560 x 1440 - Ultimatexonotic: 3840 x 2160 - Ultimatenekrs: Kershawnekrs: TurboPipe Periodicdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-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 - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-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 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-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 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-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 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamwhisper-cpp: ggml-base.en - 2016 State of the Unionwhisper-cpp: ggml-small.en - 2016 State of the Unionwhisper-cpp: ggml-medium.en - 2016 State of the Unionhpcg: 104 104 104 - 60onednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUkripke: mocassin: Gas HII40mocassin: Dust 2D tau100.0qmcpack: Li2_STO_aeqmcpack: simple-H2Oqmcpack: FeCO6_b3lyp_gmsqmcpack: FeCO6_b3lyp_gmsgpaw: Carbon Nanotubecp2k: H20-64cp2k: Fayalite-FISTdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasterembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeliquid-dsp: 1 - 256 - 32liquid-dsp: 1 - 256 - 57liquid-dsp: 2 - 256 - 32liquid-dsp: 2 - 256 - 57liquid-dsp: 4 - 256 - 32liquid-dsp: 4 - 256 - 57liquid-dsp: 8 - 256 - 32liquid-dsp: 8 - 256 - 57liquid-dsp: 1 - 256 - 512liquid-dsp: 16 - 256 - 32liquid-dsp: 16 - 256 - 57liquid-dsp: 2 - 256 - 512liquid-dsp: 32 - 256 - 32liquid-dsp: 32 - 256 - 57liquid-dsp: 4 - 256 - 512liquid-dsp: 64 - 256 - 32liquid-dsp: 64 - 256 - 57liquid-dsp: 8 - 256 - 512liquid-dsp: 16 - 256 - 512liquid-dsp: 32 - 256 - 512liquid-dsp: 64 - 256 - 512sqlite: 1sqlite: 2sqlite: 4sqlite: 8sqlite: 16sqlite: 32sqlite: 64leveldb: Hot Readleveldb: Fill Syncleveldb: Overwritepetsc: Streamsleveldb: Fill Syncleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillleveldb: Rand Readleveldb: Seek Randleveldb: Rand Deleteleveldb: Seq Fillleveldb: Seq Fillab7627578.66437.11752.3018809740.35160.54084623.294517.784610857.40395.1118827346.28480.0678260.1792853207.133354.4051344.69128353.64283.41439798.24515575.471624118.5482729.7666510329.66199178.68264.34224417.2324278.3411201.442806.0910973.6522825.443072.801501239.2911409509.7733507543.0894803.7633453867.32942.22318.510692419.88910.4635.8220.4628.695143.850121.931139.29930.144330.0147671.4224194671.954291026.551713.876427.432927.711056.452415.346413.763831.07715.4082673.171491451.881030.8024670.0380428561.4381904561.0057748560.9659015467.692176976.011518.672903429.93223.537521.4981114520.7893156420.7457662386.9438277384.7672496384.0158631311.39894992123046667344456666728.8773552.281216.345361.1727255.987262.443177.578512.883086.1294185.738728.727934.8038148.9743107.369891.566310.9104323.091749.4917141.29917.0704235.813967.824981.337312.288133.0990482.746921.567546.3523119.0134134.407143.882822.783128.6062556.609016.338361.1988156.48335395.709351018.2843910.96451.550994.266241.1772290.9484504.818935.692062.685665.767691.366301.577403252.18976.4673244.46938.1023235.41935.61114824333312.684181.265136.2227.602175.39196.98110.84642.966123.826398.39222.52597.02374.793.75654.148126.423127.13610.86885.308308.249360.9245.4410.93113.87524.87738.466934.408741.585037.390039.396233.83111.221.220.609.868939.74548128.5724.935544.624687.67668450750005199333389896333103806667178100000206086667354570000409183333105376676908000007951033332085166713432000001506266667412776672250733333183603333382123667160113333313753333506326667106.014243.219266.581291.254373.820505.417681.44843.13710866.01427.058312.09640.6262.35426.9262.98143.49365.839245.16027.8254.9427624159.24439.24741.6622201912.16160.74101817.964518.884644715394.518816044.49480.5178455.1992812375.373360.5251160.22128387.57282.42440335.12528847.311535034.6482887.2471041068.48200423.6265.390123291224460.7124275.2311221.552795.8510984.9122200.869580.271496970.6611620881.0433539318.9795693.9333092079.25943.84318.710677047.79907.4635.4219.1228.83144.062122.23140.07830.286330.036669.8590201676.078775626.809713.853627.269927.730355.851515.350813.7931.48815.4135687.486131450.93430.8579675.8397046563.7930829567.9388648567.977016469.748611276.122524.552715329.89823.654521.2002993527.2114812423.3297457386.2753935386.8054656381.3165184311.76953442109640000344177000028.9177551.1616.482860.6621256.638162.311278.400312.747387.0186183.814429.862633.4783149.9629106.662991.979810.8616324.273149.319146.18916.833236.822867.535383.427811.979932.9066485.947821.493546.5115119.0879134.32343.047523.223728.9881550.432516.429560.8593151.04973363.324311003.1136211.01631.301814.216821.089440.9850984.835655.731812.698725.705741.436641.57193275.76987.9923227.02958.8433226.7932.98714621560012.598180.727132.7627.484174.82191.15110.94942.112122.975398.2222.24597.19374.133.72154.556127.675127.6810.84585.496305.73364.285.38710.89213.76724.80138.4534.526341.78237.482239.39933.95931.221.230.609.891249.76771128.6634.980284.624347.70051450230005181400089686000103260000179170000206140000355110000410090000105600006921300007994900002098900013500000001512100000414750002269700000183700000082224000160130000314560000506050000105237.187262.624284.865374.33502.766680.81142.75716348.3712758276.79260.4262.28326.7264.86843.54764.562245.18227.7255.488OpenBenchmarking.org

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Hashab1.6M3.2M4.8M6.4M8MSE +/- 2470.62, N = 37627578.667624159.241. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Hashab1.3M2.6M3.9M5.2M6.5MMin: 7624800.67 / Avg: 7627578.66 / Max: 7632506.581. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: MMAPab100200300400500SE +/- 0.81, N = 3437.11439.241. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: MMAPab80160240320400Min: 435.97 / Avg: 437.11 / Max: 438.681. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: NUMAab160320480640800SE +/- 5.01, N = 3752.30741.661. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: NUMAab130260390520650Min: 744.09 / Avg: 752.3 / Max: 761.391. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pipeab5M10M15M20M25MSE +/- 858971.94, N = 1518809740.3522201912.161. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pipeab4M8M12M16M20MMin: 15357166.65 / Avg: 18809740.35 / Max: 23534490.351. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32ab4080120160200SE +/- 0.07, N = 3160.5160.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32ab306090120150Min: 160.4 / Avg: 160.53 / Max: 160.61. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pollab900K1800K2700K3600K4500KSE +/- 1922.15, N = 34084623.294101817.961. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pollab700K1400K2100K2800K3500KMin: 4082203.4 / Avg: 4084623.29 / Max: 4088420.141. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Zlibab10002000300040005000SE +/- 2.96, N = 34517.784518.881. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Zlibab8001600240032004000Min: 4511.89 / Avg: 4517.78 / Max: 4521.221. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Futexab1000K2000K3000K4000K5000KSE +/- 56259.21, N = 44610857.404644715.001. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Futexab800K1600K2400K3200K4000KMin: 4479775.32 / Avg: 4610857.4 / Max: 4735061.251. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: MEMFDab90180270360450SE +/- 0.62, N = 3395.11394.501. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: MEMFDab70140210280350Min: 393.89 / Avg: 395.11 / Max: 395.841. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Mutexab4M8M12M16M20MSE +/- 22386.94, N = 318827346.2818816044.491. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Mutexab3M6M9M12M15MMin: 18801085.88 / Avg: 18827346.28 / Max: 18871882.191. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Atomicab100200300400500SE +/- 0.46, N = 3480.06480.511. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Atomicab90180270360450Min: 479.14 / Avg: 480.06 / Max: 480.561. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Cryptoab20K40K60K80K100KSE +/- 78.61, N = 378260.1778455.191. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Cryptoab14K28K42K56K70KMin: 78145.43 / Avg: 78260.17 / Max: 78410.621. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Mallocab20M40M60M80M100MSE +/- 44041.52, N = 392853207.1392812375.371. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Mallocab16M32M48M64M80MMin: 92795202.94 / Avg: 92853207.13 / Max: 92939616.551. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Cloningab7001400210028003500SE +/- 2.74, N = 33354.403360.521. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Cloningab6001200180024003000Min: 3350.88 / Avg: 3354.4 / Max: 3359.791. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Forkingab11K22K33K44K55KSE +/- 291.28, N = 351344.6951160.221. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Forkingab9K18K27K36K45KMin: 50840.55 / Avg: 51344.69 / Max: 51849.581. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pthreadab30K60K90K120K150KSE +/- 521.45, N = 3128353.64128387.571. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Pthreadab20K40K60K80K100KMin: 127720.17 / Avg: 128353.64 / Max: 129387.841. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: AVL Treeab60120180240300SE +/- 0.22, N = 3283.41282.421. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: AVL Treeab50100150200250Min: 283 / Avg: 283.41 / Max: 283.771. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: IO_uringab90K180K270K360K450KSE +/- 726.45, N = 3439798.24440335.121. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: IO_uringab80K160K240K320K400KMin: 438420.82 / Avg: 439798.24 / Max: 440887.231. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: SENDFILEab110K220K330K440K550KSE +/- 656.59, N = 3515575.47528847.311. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: SENDFILEab90K180K270K360K450KMin: 514485.82 / Avg: 515575.47 / Max: 516754.971. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: CPU Cacheab300K600K900K1200K1500KSE +/- 19308.61, N = 31624118.541535034.641. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: CPU Cacheab300K600K900K1200K1500KMin: 1585842.65 / Avg: 1624118.54 / Max: 1647693.261. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: CPU Stressab20K40K60K80K100KSE +/- 76.38, N = 382729.7682887.241. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: CPU Stressab14K28K42K56K70KMin: 82589.23 / Avg: 82729.76 / Max: 82851.891. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Semaphoresab15M30M45M60M75MSE +/- 919418.56, N = 366510329.6671041068.481. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Semaphoresab12M24M36M48M60MMin: 65055167.29 / Avg: 66510329.66 / Max: 68211496.131. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Matrix Mathab40K80K120K160K200KSE +/- 476.06, N = 3199178.68200423.601. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Matrix Mathab30K60K90K120K150KMin: 198452.15 / Avg: 199178.68 / Max: 200074.891. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

Laghos

Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshab60120180240300SE +/- 0.22, N = 3264.34265.391. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshab50100150200250Min: 263.9 / Avg: 264.34 / Max: 264.611. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Mathab50K100K150K200K250KSE +/- 22.96, N = 3224417.23224460.711. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Mathab40K80K120K160K200KMin: 224379.74 / Avg: 224417.23 / Max: 224458.951. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Function Callab5K10K15K20K25KSE +/- 38.00, N = 324278.3424275.231. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Function Callab4K8K12K16K20KMin: 24202.94 / Avg: 24278.34 / Max: 24324.261. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

Test: x86_64 RdRand

a: The test run did not produce a result. E: stress-ng: error: [1222741] No stress workers invoked (one or more were unsupported)

b: The test run did not produce a result. E: stress-ng: error: [3041301] No stress workers invoked (one or more were unsupported)

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Floating Pointab2K4K6K8K10KSE +/- 7.25, N = 311201.4411221.551. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Floating Pointab2K4K6K8K10KMin: 11189.06 / Avg: 11201.44 / Max: 11214.171. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Matrix 3D Mathab6001200180024003000SE +/- 1.75, N = 32806.092795.851. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Matrix 3D Mathab5001000150020002500Min: 2803.28 / Avg: 2806.09 / Max: 2809.291. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Memory Copyingab2K4K6K8K10KSE +/- 6.50, N = 310973.6510984.911. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Memory Copyingab2K4K6K8K10KMin: 10964.88 / Avg: 10973.65 / Max: 10986.341. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Shuffleab5K10K15K20K25KSE +/- 43.57, N = 322825.4422200.861. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Shuffleab4K8K12K16K20KMin: 22739.6 / Avg: 22825.44 / Max: 22881.361. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Socket Activityab2K4K6K8K10KSE +/- 1064.20, N = 153072.809580.271. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Socket Activityab17003400510068008500Min: 2.93 / Avg: 3072.8 / Max: 9548.841. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Wide Vector Mathab300K600K900K1200K1500KSE +/- 3256.42, N = 31501239.291496970.661. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Wide Vector Mathab300K600K900K1200K1500KMin: 1495865.35 / Avg: 1501239.29 / Max: 1507112.711. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Context Switchingab2M4M6M8M10MSE +/- 22031.57, N = 311409509.7711620881.041. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Context Switchingab2M4M6M8M10MMin: 11370869.05 / Avg: 11409509.77 / Max: 11447169.731. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Fused Multiply-Addab7M14M21M28M35MSE +/- 7490.49, N = 333507543.0833539318.971. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Fused Multiply-Addab6M12M18M24M30MMin: 33499758.93 / Avg: 33507543.08 / Max: 33522520.171. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Floating Pointab20K40K60K80K100KSE +/- 139.68, N = 394803.7695693.931. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Vector Floating Pointab17K34K51K68K85KMin: 94621.35 / Avg: 94803.76 / Max: 95078.21. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Glibc C String Functionsab7M14M21M28M35MSE +/- 238790.03, N = 333453867.3233092079.251. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Glibc C String Functionsab6M12M18M24M30MMin: 33153028.37 / Avg: 33453867.32 / Max: 33925509.431. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Glibc Qsort Data Sortingab2004006008001000SE +/- 0.47, N = 3942.22943.841. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: Glibc Qsort Data Sortingab170340510680850Min: 941.27 / Avg: 942.22 / Max: 942.711. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64ab70140210280350SE +/- 0.09, N = 3318.5318.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64ab60120180240300Min: 318.4 / Avg: 318.53 / Max: 318.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: System V Message Passingab2M4M6M8M10MSE +/- 13654.50, N = 310692419.8810677047.791. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.10Test: System V Message Passingab2M4M6M8M10MMin: 10665220.28 / Avg: 10692419.88 / Max: 10708134.551. (CXX) g++ options: -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256ab2004006008001000SE +/- 3.58, N = 3910.4907.41. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256ab160320480640800Min: 905.1 / Avg: 910.37 / Max: 917.21. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128ab140280420560700SE +/- 0.22, N = 3635.8635.41. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128ab110220330440550Min: 635.4 / Avg: 635.83 / Max: 636.11. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Laghos

Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemab50100150200250SE +/- 0.34, N = 3220.46219.121. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point Problemab4080120160200Min: 220.1 / Avg: 220.46 / Max: 221.151. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

Palabos

The Palabos library is a framework for general purpose Computational Fluid Dynamics (CFD). Palabos uses a kernel based on the Lattice Boltzmann method. This test profile uses the Palabos MPI-based Cavity3D benchmark. Learn more via the OpenBenchmarking.org test page.

Grid Size: 1000

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

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

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 Encodeab714212835SE +/- 0.05, N = 528.7028.831. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.4WAV To Opus Encodeab612182430Min: 28.53 / Avg: 28.7 / Max: 28.81. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

Palabos

The Palabos library is a framework for general purpose Computational Fluid Dynamics (CFD). Palabos uses a kernel based on the Lattice Boltzmann method. This test profile uses the Palabos MPI-based Cavity3D benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMega Site Updates Per Second, More Is BetterPalabos 2.3Grid Size: 500ab306090120150SE +/- 0.27, N = 3143.85144.061. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
OpenBenchmarking.orgMega Site Updates Per Second, More Is BetterPalabos 2.3Grid Size: 500ab306090120150Min: 143.37 / Avg: 143.85 / Max: 144.291. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm

OpenBenchmarking.orgMega Site Updates Per Second, More Is BetterPalabos 2.3Grid Size: 100ab306090120150SE +/- 0.14, N = 3121.93122.231. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
OpenBenchmarking.orgMega Site Updates Per Second, More Is BetterPalabos 2.3Grid Size: 100ab20406080100Min: 121.67 / Avg: 121.93 / Max: 122.161. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm

OpenBenchmarking.orgMega Site Updates Per Second, More Is BetterPalabos 2.3Grid Size: 400ab306090120150SE +/- 0.57, N = 3139.30140.081. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
OpenBenchmarking.orgMega Site Updates Per Second, More Is BetterPalabos 2.3Grid Size: 400ab306090120150Min: 138.16 / Avg: 139.3 / Max: 139.981. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256ab714212835SE +/- 0.11, N = 330.1430.291. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256ab714212835Min: 29.97 / Avg: 30.14 / Max: 30.361. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512ab714212835SE +/- 0.04, N = 330.0130.041. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512ab714212835Min: 29.95 / Avg: 30.01 / Max: 30.061. (CXX) g++ options: -O3

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game for this open-source first person shooter title. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Lowab140280420560700SE +/- 0.98, N = 3671.42669.86MIN: 430 / MAX: 1177MIN: 439 / MAX: 1136
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Lowab120240360480600Min: 669.83 / Avg: 671.42 / Max: 673.21

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Lowab150300450600750SE +/- 1.00, N = 3671.95676.08MIN: 431 / MAX: 1193MIN: 427 / MAX: 1181
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Lowab120240360480600Min: 670.57 / Avg: 671.95 / Max: 673.89

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128ab612182430SE +/- 0.17, N = 326.5526.811. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128ab612182430Min: 26.31 / Avg: 26.55 / Max: 26.871. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256ab48121620SE +/- 0.01, N = 313.8813.851. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256ab48121620Min: 13.86 / Avg: 13.88 / Max: 13.91. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256ab612182430SE +/- 0.06, N = 327.4327.271. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256ab612182430Min: 27.35 / Avg: 27.43 / Max: 27.541. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512ab714212835SE +/- 0.01, N = 327.7127.731. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512ab612182430Min: 27.7 / Avg: 27.71 / Max: 27.721. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128ab1326395265SE +/- 0.45, N = 1556.4555.851. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128ab1122334455Min: 53.08 / Avg: 56.45 / Max: 60.431. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512ab48121620SE +/- 0.00, N = 315.3515.351. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512ab48121620Min: 15.34 / Avg: 15.35 / Max: 15.351. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256ab48121620SE +/- 0.01, N = 313.7613.791. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256ab48121620Min: 13.76 / Avg: 13.76 / Max: 13.771. (CXX) g++ options: -O3

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 1.51Text-To-Speech Synthesisab714212835SE +/- 0.34, N = 431.0831.491. (CXX) g++ options: -O2
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 1.51Text-To-Speech Synthesisab714212835Min: 30.17 / Avg: 31.08 / Max: 31.71. (CXX) g++ options: -O2

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512ab48121620SE +/- 0.01, N = 315.4115.411. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512ab48121620Min: 15.4 / Avg: 15.41 / Max: 15.421. (CXX) g++ options: -O3

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game for this open-source first person shooter title. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Lowab150300450600750SE +/- 2.49, N = 3673.17687.49MIN: 426 / MAX: 1185MIN: 439 / MAX: 1194
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Lowab120240360480600Min: 669.73 / Avg: 673.17 / Max: 678

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128ab1224364860SE +/- 0.72, N = 351.8850.931. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128ab1020304050Min: 50.96 / Avg: 51.88 / Max: 53.311. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128ab714212835SE +/- 0.37, N = 330.8030.861. (CXX) g++ options: -O3
OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128ab714212835Min: 30.42 / Avg: 30.8 / Max: 31.551. (CXX) g++ options: -O3

Palabos

The Palabos library is a framework for general purpose Computational Fluid Dynamics (CFD). Palabos uses a kernel based on the Lattice Boltzmann method. This test profile uses the Palabos MPI-based Cavity3D benchmark. Learn more via the OpenBenchmarking.org test page.

Grid Size: 4000

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

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

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game for this open-source first person shooter title. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Lowab150300450600750SE +/- 1.56, N = 3670.04675.84MIN: 387 / MAX: 1175MIN: 413 / MAX: 1166
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Lowab120240360480600Min: 666.94 / Avg: 670.04 / Max: 671.85

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Highab120240360480600SE +/- 1.66, N = 3561.44563.79MIN: 330 / MAX: 956MIN: 337 / MAX: 945
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Highab100200300400500Min: 558.45 / Avg: 561.44 / Max: 564.16

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Highab120240360480600SE +/- 3.14, N = 3561.01567.94MIN: 341 / MAX: 967MIN: 343 / MAX: 932
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Highab100200300400500Min: 554.95 / Avg: 561.01 / Max: 565.46

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Highab120240360480600SE +/- 0.81, N = 3560.97567.98MIN: 336 / MAX: 962MIN: 347 / MAX: 923
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Highab100200300400500Min: 559.74 / Avg: 560.97 / Max: 562.48

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Highab100200300400500SE +/- 0.24, N = 3467.69469.75MIN: 222 / MAX: 635MIN: 225 / MAX: 637
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Highab80160240320400Min: 467.37 / Avg: 467.69 / Max: 468.17

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt2ab20406080100SE +/- 0.12, N = 376.0176.121. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt2ab1530456075Min: 75.78 / Avg: 76.01 / Max: 76.171. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game for this open-source first person shooter title. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultraab110220330440550SE +/- 1.23, N = 3518.67524.55MIN: 259 / MAX: 910MIN: 285 / MAX: 905
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultraab90180270360450Min: 516.25 / Avg: 518.67 / Max: 520.28

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 1.smt2ab714212835SE +/- 0.01, N = 329.9329.901. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 1.smt2ab714212835Min: 29.91 / Avg: 29.93 / Max: 29.961. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

Remhos

Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Exampleab612182430SE +/- 0.04, N = 323.5423.651. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Exampleab612182430Min: 23.46 / Avg: 23.54 / Max: 23.581. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game for this open-source first person shooter title. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Ultraab110220330440550SE +/- 0.46, N = 3521.50521.20MIN: 282 / MAX: 935MIN: 285 / MAX: 919
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Ultraab90180270360450Min: 520.82 / Avg: 521.5 / Max: 522.39

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Ultraab110220330440550SE +/- 2.20, N = 3520.79527.21MIN: 272 / MAX: 931MIN: 294 / MAX: 931
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Ultraab90180270360450Min: 517.21 / Avg: 520.79 / Max: 524.79

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Ultraab90180270360450SE +/- 0.23, N = 3420.75423.33MIN: 194 / MAX: 579MIN: 194 / MAX: 581
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Ultraab80160240320400Min: 420.3 / Avg: 420.75 / Max: 421

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultimateab80160240320400SE +/- 2.17, N = 3386.94386.28MIN: 97 / MAX: 892MIN: 101 / MAX: 871
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultimateab70140210280350Min: 382.92 / Avg: 386.94 / Max: 390.36

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Ultimateab80160240320400SE +/- 0.49, N = 3384.77386.81MIN: 102 / MAX: 919MIN: 104 / MAX: 887
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1200 - Effects Quality: Ultimateab70140210280350Min: 383.81 / Avg: 384.77 / Max: 385.42

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Ultimateab80160240320400SE +/- 1.62, N = 3384.02381.32MIN: 99 / MAX: 847MIN: 106 / MAX: 824
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 2560 x 1440 - Effects Quality: Ultimateab70140210280350Min: 380.87 / Avg: 384.02 / Max: 386.29

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Ultimateab70140210280350SE +/- 0.68, N = 3311.40311.77MIN: 97 / MAX: 487MIN: 98 / MAX: 488
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 3840 x 2160 - Effects Quality: Ultimateab60120180240300Min: 310.2 / Avg: 311.4 / Max: 312.54

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawab500M1000M1500M2000M2500MSE +/- 3171604.92, N = 3212304666721096400001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawab400M800M1200M1600M2000MMin: 2117110000 / Avg: 2123046666.67 / Max: 21279500001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicab700M1400M2100M2800M3500MSE +/- 1942175.18, N = 3344456666734417700001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicab600M1200M1800M2400M3000MMin: 3441040000 / Avg: 3444566666.67 / Max: 34477400001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab714212835SE +/- 0.10, N = 328.8828.92
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab612182430Min: 28.67 / Avg: 28.88 / Max: 28.99

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab120240360480600SE +/- 1.59, N = 3552.28551.16
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab100200300400500Min: 550.44 / Avg: 552.28 / Max: 555.45

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamab48121620SE +/- 0.01, N = 316.3516.48
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamab48121620Min: 16.32 / Avg: 16.35 / Max: 16.36

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamab1428425670SE +/- 0.04, N = 361.1760.66
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamab1224364860Min: 61.13 / Avg: 61.17 / Max: 61.25

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab60120180240300SE +/- 0.36, N = 3255.99256.64
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab50100150200250Min: 255.28 / Avg: 255.99 / Max: 256.37

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab1428425670SE +/- 0.10, N = 362.4462.31
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab1224364860Min: 62.31 / Avg: 62.44 / Max: 62.65

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamab20406080100SE +/- 0.19, N = 377.5878.40
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamab1530456075Min: 77.2 / Avg: 77.58 / Max: 77.78

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamab3691215SE +/- 0.03, N = 312.8812.75
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamab48121620Min: 12.85 / Avg: 12.88 / Max: 12.95

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab20406080100SE +/- 0.56, N = 386.1387.02
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab20406080100Min: 85.14 / Avg: 86.13 / Max: 87.1

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab4080120160200SE +/- 1.22, N = 3185.74183.81
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab306090120150Min: 183.66 / Avg: 185.74 / Max: 187.87

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamab714212835SE +/- 0.18, N = 328.7329.86
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamab714212835Min: 28.38 / Avg: 28.73 / Max: 28.99

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamab816243240SE +/- 0.22, N = 334.8033.48
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamab714212835Min: 34.49 / Avg: 34.8 / Max: 35.23

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab306090120150SE +/- 0.14, N = 3148.97149.96
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab306090120150Min: 148.7 / Avg: 148.97 / Max: 149.17

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab20406080100SE +/- 0.10, N = 3107.37106.66
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab20406080100Min: 107.23 / Avg: 107.37 / Max: 107.57

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamab20406080100SE +/- 0.13, N = 391.5791.98
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamab20406080100Min: 91.35 / Avg: 91.57 / Max: 91.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamab3691215SE +/- 0.02, N = 310.9110.86
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamab3691215Min: 10.88 / Avg: 10.91 / Max: 10.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab70140210280350SE +/- 0.39, N = 3323.09324.27
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab60120180240300Min: 322.32 / Avg: 323.09 / Max: 323.54

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab1122334455SE +/- 0.05, N = 349.4949.32
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab1020304050Min: 49.43 / Avg: 49.49 / Max: 49.59

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamab306090120150SE +/- 0.75, N = 3141.30146.19
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamab306090120150Min: 139.79 / Avg: 141.3 / Max: 142.14

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamab246810SE +/- 0.0378, N = 37.07046.8330
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamab3691215Min: 7.03 / Avg: 7.07 / Max: 7.15

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab50100150200250SE +/- 0.13, N = 3235.81236.82
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab4080120160200Min: 235.63 / Avg: 235.81 / Max: 236.06

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab1530456075SE +/- 0.04, N = 367.8267.54
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab1326395265Min: 67.75 / Avg: 67.82 / Max: 67.88

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamab20406080100SE +/- 0.18, N = 381.3483.43
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamab1632486480Min: 80.98 / Avg: 81.34 / Max: 81.59

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamab3691215SE +/- 0.03, N = 312.2911.98
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamab48121620Min: 12.25 / Avg: 12.29 / Max: 12.34

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab816243240SE +/- 0.16, N = 333.1032.91
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab714212835Min: 32.82 / Avg: 33.1 / Max: 33.36

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab110220330440550SE +/- 2.43, N = 3482.75485.95
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab90180270360450Min: 479.04 / Avg: 482.75 / Max: 487.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamab510152025SE +/- 0.01, N = 321.5721.49
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamab510152025Min: 21.54 / Avg: 21.57 / Max: 21.59

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamab1122334455SE +/- 0.03, N = 346.3546.51
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamab918273645Min: 46.3 / Avg: 46.35 / Max: 46.41

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab306090120150SE +/- 0.18, N = 3119.01119.09
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab20406080100Min: 118.72 / Avg: 119.01 / Max: 119.35

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab306090120150SE +/- 0.21, N = 3134.41134.32
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab306090120150Min: 134.03 / Avg: 134.41 / Max: 134.74

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamab1020304050SE +/- 0.26, N = 343.8843.05
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamab918273645Min: 43.36 / Avg: 43.88 / Max: 44.14

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamab612182430SE +/- 0.14, N = 322.7823.22
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamab510152025Min: 22.65 / Avg: 22.78 / Max: 23.05

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab714212835SE +/- 0.06, N = 328.6128.99
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab612182430Min: 28.49 / Avg: 28.61 / Max: 28.7

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab120240360480600SE +/- 0.31, N = 3556.61550.43
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab100200300400500Min: 556.06 / Avg: 556.61 / Max: 557.14

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamab48121620SE +/- 0.01, N = 316.3416.43
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamab48121620Min: 16.31 / Avg: 16.34 / Max: 16.36

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamab1428425670SE +/- 0.05, N = 361.2060.86
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamab1224364860Min: 61.11 / Avg: 61.2 / Max: 61.3

Whisper.cpp

Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-base.en - Input: 2016 State of the Unionab306090120150SE +/- 1.99, N = 3156.48151.051. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-base.en - Input: 2016 State of the Unionab306090120150Min: 153.32 / Avg: 156.48 / Max: 160.151. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-small.en - Input: 2016 State of the Unionab90180270360450SE +/- 6.52, N = 9395.71363.321. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-small.en - Input: 2016 State of the Unionab70140210280350Min: 367.62 / Avg: 395.71 / Max: 410.331. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-medium.en - Input: 2016 State of the Unionab2004006008001000SE +/- 11.84, N = 31018.281003.111. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-medium.en - Input: 2016 State of the Unionab2004006008001000Min: 994.6 / Avg: 1018.28 / Max: 1030.221. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 104 104 104 - RT: 60ab3691215SE +/- 0.02, N = 310.9611.021. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 104 104 104 - RT: 60ab3691215Min: 10.93 / Avg: 10.96 / Max: 10.991. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

X Y Z: 144 144 144 - RT: 60

a: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

b: The test quit with a non-zero exit status. E: cat: 'HPCG-Benchmark*.txt': No such file or directory

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: CPUab0.3490.6981.0471.3961.745SE +/- 0.01212, N = 101.550991.30181MIN: 1.33MIN: 1.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUab246810Min: 1.5 / Avg: 1.55 / Max: 1.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUab0.95991.91982.87973.83964.7995SE +/- 0.01334, N = 34.266244.21682MIN: 4.12MIN: 4.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUab246810Min: 4.24 / Avg: 4.27 / Max: 4.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUab0.26490.52980.79471.05961.3245SE +/- 0.016952, N = 141.1772291.089440MIN: 0.89MIN: 0.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUab246810Min: 0.97 / Avg: 1.18 / Max: 1.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUab0.22160.44320.66480.88641.108SE +/- 0.010152, N = 30.9484500.985098MIN: 0.87MIN: 0.91. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUab246810Min: 0.94 / Avg: 0.95 / Max: 0.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

a: The test run did not produce a result.

b: The test run did not produce a result.

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

a: The test run did not produce a result.

b: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUab1.0882.1763.2644.3525.44SE +/- 0.01212, N = 34.818934.83565MIN: 4.74MIN: 4.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUab246810Min: 4.8 / Avg: 4.82 / Max: 4.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUab1.28972.57943.86915.15886.4485SE +/- 0.03300, N = 35.692065.73181MIN: 4.03MIN: 4.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUab246810Min: 5.65 / Avg: 5.69 / Max: 5.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUab0.60721.21441.82162.42883.036SE +/- 0.01103, N = 32.685662.69872MIN: 2.61MIN: 2.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUab246810Min: 2.67 / Avg: 2.69 / Max: 2.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUab1.29772.59543.89315.19086.4885SE +/- 0.00320, N = 35.767695.70574MIN: 5.69MIN: 5.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUab246810Min: 5.76 / Avg: 5.77 / Max: 5.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUab0.32320.64640.96961.29281.616SE +/- 0.01766, N = 31.366301.43664MIN: 1.27MIN: 1.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUab246810Min: 1.34 / Avg: 1.37 / Max: 1.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUab0.35490.70981.06471.41961.7745SE +/- 0.00305, N = 31.577401.57190MIN: 1.49MIN: 1.51. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUab246810Min: 1.57 / Avg: 1.58 / Max: 1.581. (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: f32 - Engine: CPUab7001400210028003500SE +/- 29.27, N = 33252.183275.76MIN: 3200.87MIN: 3269.281. (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: f32 - Engine: CPUab6001200180024003000Min: 3211.25 / Avg: 3252.18 / Max: 3308.91. (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: CPUab2004006008001000SE +/- 3.39, N = 3976.47987.99MIN: 961.99MIN: 979.321. (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: CPUab2004006008001000Min: 970 / Avg: 976.47 / Max: 981.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl