dddxxx

Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 15GB 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 2308067-NE-DDDXXX42317
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AV1 2 Tests
Timed Code Compilation 3 Tests
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CPU Massive 4 Tests
Creator Workloads 8 Tests
Database Test Suite 5 Tests
Encoding 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 10 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
Programmer / Developer System Benchmarks 3 Tests
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Server 5 Tests
Server CPU Tests 4 Tests
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August 05 2023
  15 Hours, 4 Minutes
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August 06 2023
  15 Hours, 10 Minutes
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dddxxxOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.17.0 BIOS)Intel Cannon Point-LP16GBSK hynix PC401 NVMe 256GBIntel UHD 620 WHL GT2 15GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 22.045.19.0-rc6-phx-retbleed (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1OpenCL 3.01.3.204GCC 11.3.0GCC 11.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilersFile-SystemScreen ResolutionDddxxx BenchmarksSystem Logs- Transparent Huge Pages: madvise- a: --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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/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 - b: --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 2.4.9 - a: OpenJDK Runtime Environment (build 11.0.18+10-post-Ubuntu-0ubuntu122.04) - b: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04) - a: Python 3.10.6- b: Python 3.10.12- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+48%+48%+96%+96%+144%+144%+192%+192%61.2%61.1%42.1%40.2%37.1%36.4%34.9%34.6%34.5%33.9%31.1%28.4%27.1%24.3%24.1%23.8%23%21.9%21.7%20.7%19.3%19%18.4%18.4%18.2%17.8%17.6%17.6%17.1%15.5%15%14.1%13.8%13.1%12.1%12%12%11.3%9.1%8.8%8.4%8.1%7.8%7.6%7.3%7.2%6.9%6.5%5.1%5.1%4.9%4.8%4.7%4.3%4.3%4.2%4%3.9%3.7%3.5%3.4%3.3%3.2%3.2%2.8%2.6%2.3%2.3%2%1192.1%B.L.N.Q.A.S.I - A.M.SB.L.N.Q.A.S.I - A.M.SCPU - shufflenet-v2Redis - 500 - 1:5237.7%437.5%Redis - 500 - 1:10MMAPRedis - 100 - 1:5Redis - 50 - 1:5CPU - mnasnetRedis - 100 - 1:10MEMFD31.3%Redis - 50 - 1:10FutexForkingB.L.N.Q.A - A.M.SCPU CacheCryptoZlibPreset 12 - Bosphorus 4K22.5%HashB.L.N.Q.A - A.M.SPthreadCPU-v3-v3 - mobilenet-v3SENDFILEN.T.C.B.b.u.S - A.M.SN.T.C.D.m - A.M.SN.T.C.B.b.u.S - A.M.SN.T.C.D.m - A.M.SAVL TreeN.T.C.B.b.u.c - A.M.SN.T.C.B.b.u.c - A.M.SMallocPreset 8 - Bosphorus 1080p15.2%Preset 4 - Bosphorus 4K15.2%Mutexgravity_spheres_volume/dim_512/scivis/real_timeS.N.1200 - 100 - 50013.3%100 - 100 - 500100 - 100 - 50012.2%NUMAPreset 4 - Bosphorus 1080pPollAtomicPreset 13 - Bosphorus 4K9.9%200 - 100 - 500particle_volume/ao/real_time9.1%Fused Multiply-Add8.8%CPU-v2-v2 - mobilenet-v2C.S.9.P.Y.P - A.M.SV.F.PPipeCPU StressIO_uringG.Q.D.S500 - 100 - 2007.1%500 - 1 - 5007%500 - 100 - 5006.9%CloningCPU - mobilenet6.7%4 - 256 - 576.6%C.S.9.P.Y.P - A.M.SVulkan GPU - regnety_400m6%8 - 256 - 575.7%G.C.S.F5.3%S.V.M.P5.3%C.D.Y.C.S.I - A.M.SFunction Callparticle_volume/pathtracer/real_time5%CPU - resnet50gravity_spheres_volume/dim_512/pathtracer/real_time4.8%128CPU - squeezenet_ssdPathtracer ISPC - Asian Dragon Obj4.4%500 - 100 - 5008 - 256 - 32x86_64 RdRand4.3%500 - 1 - 2004.2%500 - 1 - 500Context Switching200 - 1 - 2004%500 - 100 - 200CPU - efficientnet-b0Vulkan GPU - FastestDet100 - 100 - 200Matrix 3D Math100 - 100 - 2003.3%C.D.Y.C.S.I - A.M.SVulkan GPU - squeezenet_ssd1:103.1%R.5.B - A.M.S3.1%Bosphorus 1080p - Fast3%CPU - FastestDet3%Vulkan GPU - mobilenetR.5.B - A.M.S2.7%200 - 1 - 5002.7%Floating PointTime To Compile2.5%CPU - yolov4-tiny2.4%C.C.R.5.I - A.M.S2.4%C.C.R.5.I - A.M.S2.3%Chimera 1080p8 - 256 - 512CPU - blazeface2.2%particle_volume/scivis/real_time2.2%1:1002.1%Vulkan GPU - blazeface2.1%Preset 12 - Bosphorus 1080pPathtracer - Crown2%SQLiteNeural Magic DeepSparseNeural Magic DeepSparseNCNNRedis 7.0.12 + memtier_benchmarkSQLiteSQLiteRedis 7.0.12 + memtier_benchmarkStress-NGRedis 7.0.12 + memtier_benchmarkRedis 7.0.12 + memtier_benchmarkNCNNRedis 7.0.12 + memtier_benchmarkStress-NGRedis 7.0.12 + memtier_benchmarkStress-NGStress-NGNeural Magic DeepSparseStress-NGStress-NGStress-NGSVT-AV1Stress-NGNeural Magic DeepSparseStress-NGNCNNStress-NGNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseStress-NGNeural Magic DeepSparseNeural Magic DeepSparseStress-NGSVT-AV1SVT-AV1Stress-NGOSPRaydav1dApache IoTDBApache IoTDBApache IoTDBStress-NGSVT-AV1Stress-NGStress-NGSVT-AV1Apache IoTDBOSPRayStress-NGNCNNNeural Magic DeepSparseStress-NGStress-NGStress-NGStress-NGStress-NGApache IoTDBApache IoTDBApache IoTDBStress-NGNCNNLiquid-DSPNeural Magic DeepSparseNCNNLiquid-DSPStress-NGStress-NGNeural Magic DeepSparseStress-NGOSPRayNCNNOSPRaylibxsmmNCNNEmbreeApache IoTDBLiquid-DSPStress-NGApache IoTDBApache IoTDBStress-NGApache IoTDBApache IoTDBNCNNNCNNApache IoTDBStress-NGApache IoTDBNeural Magic DeepSparseNCNNMemcachedNeural Magic DeepSparseVVenCNCNNNCNNNeural Magic DeepSparseApache IoTDBStress-NGBuild2NCNNNeural Magic DeepSparseNeural Magic DeepSparsedav1dLiquid-DSPNCNNOSPRayMemcachedNCNNSVT-AV1Embreeab

dddxxxbuild-llvm: Unix Makefilesbuild-llvm: Ninjabuild-godot: Time To Compileapache-iotdb: 500 - 100 - 500apache-iotdb: 500 - 100 - 500xonotic: 1920 x 1080 - Ultimatebuild2: Time To Compilevvenc: Bosphorus 4K - Fastxonotic: 1920 x 1080 - Ultraxonotic: 1920 x 1080 - Highoidn: RTLightmap.hdr.4096x4096 - CPU-Onlylibxsmm: 128vvenc: Bosphorus 4K - Fasterembree: Pathtracer - Crownembree: Pathtracer - Asian Dragon Objapache-iotdb: 500 - 100 - 200apache-iotdb: 500 - 100 - 200embree: Pathtracer ISPC - Crownxonotic: 1920 x 1080 - Lowapache-iotdb: 200 - 100 - 500apache-iotdb: 200 - 100 - 500ospray: particle_volume/pathtracer/real_timeembree: Pathtracer ISPC - Asian Dragon Objoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetospray: particle_volume/scivis/real_timencnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetembree: Pathtracer - Asian Dragonsvt-av1: Preset 4 - Bosphorus 4Kvvenc: Bosphorus 1080p - Fastsqlite: 4sqlite: 2embree: Pathtracer ISPC - Asian Dragondeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamlibxsmm: 64cassandra: Writesz3: 2.smt2libxsmm: 32ospray: particle_volume/ao/real_timedeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamapache-iotdb: 500 - 1 - 500apache-iotdb: 500 - 1 - 500ospray: gravity_spheres_volume/dim_512/scivis/real_timeapache-iotdb: 100 - 100 - 500apache-iotdb: 100 - 100 - 500memtier-benchmark: Redis - 500 - 1:10memtier-benchmark: Redis - 500 - 1:5memcached: 1:5memtier-benchmark: Redis - 50 - 1:10memtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5memtier-benchmark: Redis - 50 - 1:5memcached: 1:10memcached: 1:100ospray: gravity_spheres_volume/dim_512/ao/real_timesvt-av1: Preset 8 - Bosphorus 4Kdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamvvenc: Bosphorus 1080p - Fasterdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamospray: gravity_spheres_volume/dim_512/pathtracer/real_timesqlite: 1apache-iotdb: 200 - 100 - 200apache-iotdb: 200 - 100 - 200deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-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 Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdav1d: Summer Nature 4Kdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdav1d: Chimera 1080p 10-bitz3: 1.smt2deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamsvt-av1: Preset 4 - Bosphorus 1080pdav1d: Chimera 1080pencode-opus: WAV To Opus Encodeapache-iotdb: 100 - 100 - 200apache-iotdb: 100 - 100 - 200quantlib: stress-ng: IO_uringapache-iotdb: 500 - 1 - 200apache-iotdb: 500 - 1 - 200stress-ng: Mallocstress-ng: Cloningstress-ng: MMAPstress-ng: MEMFDstress-ng: Zlibstress-ng: Pipestress-ng: Atomicstress-ng: NUMAstress-ng: Pthreadstress-ng: x86_64 RdRandstress-ng: Function Callstress-ng: System V Message Passingstress-ng: Socket Activitystress-ng: Matrix 3D Mathliquid-dsp: 8 - 256 - 512stress-ng: Vector Floating Pointliquid-dsp: 4 - 256 - 512liquid-dsp: 2 - 256 - 512liquid-dsp: 1 - 256 - 32stress-ng: AVL Treestress-ng: Floating Pointstress-ng: Hashliquid-dsp: 1 - 256 - 512liquid-dsp: 2 - 256 - 57liquid-dsp: 2 - 256 - 32liquid-dsp: 1 - 256 - 57stress-ng: Memory Copyingliquid-dsp: 8 - 256 - 32stress-ng: Vector Shufflestress-ng: CPU Cacheliquid-dsp: 8 - 256 - 57liquid-dsp: 4 - 256 - 57liquid-dsp: 4 - 256 - 32stress-ng: Forkingstress-ng: Mutexstress-ng: Glibc Qsort Data Sortingstress-ng: Matrix Mathstress-ng: CPU Stressstress-ng: SENDFILEstress-ng: Cryptostress-ng: Wide Vector Mathstress-ng: Pollstress-ng: Glibc C String Functionsstress-ng: Fused Multiply-Addstress-ng: Context Switchingstress-ng: Vector Mathstress-ng: Semaphoresstress-ng: Futexapache-iotdb: 200 - 1 - 500apache-iotdb: 200 - 1 - 500apache-iotdb: 200 - 1 - 200apache-iotdb: 200 - 1 - 200apache-iotdb: 100 - 1 - 500apache-iotdb: 100 - 1 - 500svt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080papache-iotdb: 100 - 1 - 200apache-iotdb: 100 - 1 - 200dav1d: Summer Nature 1080pvkpeak: fp32-scalarsvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pab2967.5282892.0881372.604984.74948660.1959.1708882555.9361.18077.933873691.11459890.0679.92.6933.52183.8229212.438900311.033.7369205.6062326550.478609112.9752.59044.16700.120.125.66240.039.8215.9739.3933.1811.6712.7397.7016.290.949.225.233.665.116.6728.151.373995.39233.9610.0316.5538.3736.0211.6812.6197.4216.230.919.786.044.295.146.6925.934.21831.0923.905125.830123.4654.7883764.26762.667790.926422130.94147.71.4933493.848221.298575.4611157.730.622182342.2113467917.31914462.02890374.23525368.391109812.441028641.191016703.271039311.12502050.43496309.760.7451469.49030.539865.42509.882211.98309.45531.0616430.327144.5312613348.93669.18092.9815979.17972.0309244.56178.300969.559328.918567.01855.67692.3527191.3043.973116.268317.5124162.164712.5441137.948914.672065.951730.567368.049129.658510.2465196.78434.260244.1235.396107.8415017343.492379.8170492.1615.751036429.93375933.99669.4120.8656.59273.051422109.84224.5153.9534974.263267.312058.702652462.622495.57383.49357190007289.3225830500151795004651650016.41743.83523699.7077218007379550085550500434290001078.731779450002431.22929178.431403450001195900001402800009551.79604156.7269.1317318.77310.0536779.864590.53147314.85284300.802485856.072978232.73705297.9612666.193218725.51486078.6829.651333775.5917.34816344.234.81996242.8135.49734.04935.73922.62529599273.35268.33154.597202.8522929.9112908.8781384.7661026.934629287.7958.9499391569.6091.17077.519588790.90800950.0683.72.6723.45423.8503198.419246224.423.6962205.4486260485.939394851.3750.08293.99230.120.125.47235.5110.4115.4839.1733.6011.6912.5696.2616.190.969.345.263.675.116.6727.381.344675.55232.1710.1215.8039.3134.3311.6412.6298.7516.190.939.434.493.024.316.1527.684.19980.9483.790173.045170.0144.7636614.67933.246190.826438131.40548.01.369258.236834.323170.46637041.620.709986387.1512006039.141253523.691248610.70518308.201455171.861377833.481372033.181398883.01486807.49485922.630.7347839.43630.566465.35649.868179.077211.17191.01295388.585143.2412464073628.36393.2320835.85172.3883245.64308.283270.821328.464066.38864.99322.3352190.8743.41998.714320.7264154.258612.9502139.047514.606968.000329.760369.618128.962210.336195.48584.773249.6235.426104.4315526243.842404.8182936.6815.111040683.13434156.10715.5828.4643.09335.911533355.11249.9960.4942229.613134.042164.202519916.102508.63396.03365230007877.7025812500150235004682500019.3762.86638650.5177108507362050085664000434275001088.751855400002431.011153192.7513283000011220500013995000012140.60694562.4774.1317116.797866.443752.375684.53148388.79318466.502360589.102737483.30733269.7912444.333241408.21624014.1729.751298988.3116.68812170.8634.481009840.2828.97830.97531.01422.93524660.18310.94268.33157.692206.769OpenBenchmarking.org

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesab6001200180024003000SE +/- 45.61, N = 2SE +/- 7.61, N = 22967.532929.91
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesab5001000150020002500Min: 2921.92 / Avg: 2967.53 / Max: 3013.14Min: 2922.3 / Avg: 2929.91 / Max: 2937.52

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjaab6001200180024003000SE +/- 4.75, N = 2SE +/- 4.95, N = 22892.092908.88
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjaab5001000150020002500Min: 2887.33 / Avg: 2892.09 / Max: 2896.84Min: 2903.93 / Avg: 2908.88 / Max: 2913.82

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compileab30060090012001500SE +/- 0.29, N = 2SE +/- 12.96, N = 21372.601384.77
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compileab2004006008001000Min: 1372.32 / Avg: 1372.6 / Max: 1372.89Min: 1371.81 / Avg: 1384.77 / Max: 1397.72

Apache IoTDB

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500ab2004006008001000984.701026.93MAX: 4944.15MAX: 6211.26

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500ab1.1M2.2M3.3M4.4M5.5M4948660.194629287.79

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: Ultimateab1326395265SE +/- 0.07, N = 2SE +/- 0.06, N = 259.1758.95MIN: 24 / MAX: 94MIN: 24 / MAX: 94
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultimateab1224364860Min: 59.1 / Avg: 59.17 / Max: 59.24Min: 58.89 / Avg: 58.95 / Max: 59.01

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.15Time To Compileab120240360480600SE +/- 1.14, N = 2SE +/- 4.22, N = 2555.94569.61
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.15Time To Compileab100200300400500Min: 554.79 / Avg: 555.94 / Max: 557.08Min: 565.39 / Avg: 569.61 / Max: 573.83

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fastab0.26550.5310.79651.0621.3275SE +/- 0.013, N = 2SE +/- 0.013, N = 21.1801.1701. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fastab246810Min: 1.17 / Avg: 1.18 / Max: 1.19Min: 1.16 / Avg: 1.17 / Max: 1.181. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

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: Ultraab20406080100SE +/- 0.16, N = 2SE +/- 0.41, N = 277.9377.52MIN: 34 / MAX: 120MIN: 32 / MAX: 120
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Ultraab1530456075Min: 77.77 / Avg: 77.93 / Max: 78.1Min: 77.11 / Avg: 77.52 / Max: 77.93

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Highab20406080100SE +/- 0.04, N = 2SE +/- 0.32, N = 291.1190.91MIN: 39 / MAX: 130MIN: 38 / MAX: 130
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Highab20406080100Min: 91.08 / Avg: 91.11 / Max: 91.15Min: 90.59 / Avg: 90.91 / Max: 91.23

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyab0.01350.0270.04050.0540.0675SE +/- 0.00, N = 2SE +/- 0.00, N = 20.060.06
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyab12345Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.06 / Avg: 0.06 / Max: 0.06

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: 128ab20406080100SE +/- 4.60, N = 2SE +/- 4.10, N = 279.983.71. (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 -march=core-avx2
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128ab1632486480Min: 75.3 / Avg: 79.9 / Max: 84.5Min: 79.6 / Avg: 83.7 / Max: 87.81. (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 -march=core-avx2

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterab0.60591.21181.81772.42363.0295SE +/- 0.052, N = 2SE +/- 0.045, N = 22.6932.6721. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterab246810Min: 2.64 / Avg: 2.69 / Max: 2.75Min: 2.63 / Avg: 2.67 / Max: 2.721. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Crownab0.79241.58482.37723.16963.962SE +/- 0.0068, N = 2SE +/- 0.0668, N = 23.52183.4542MIN: 2.81 / MAX: 4.3MIN: 2.82 / MAX: 4.4
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Crownab246810Min: 3.52 / Avg: 3.52 / Max: 3.53Min: 3.39 / Avg: 3.45 / Max: 3.52

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragon Objab0.86631.73262.59893.46524.3315SE +/- 0.0521, N = 2SE +/- 0.0122, N = 23.82293.8503MIN: 3.19 / MAX: 4.76MIN: 3.22 / MAX: 4.83
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragon Objab246810Min: 3.77 / Avg: 3.82 / Max: 3.88Min: 3.84 / Avg: 3.85 / Max: 3.86

Apache IoTDB

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200ab50100150200250212.43198.41MAX: 2080.14MAX: 2427.81

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200ab2M4M6M8M10M8900311.039246224.42

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Crownab0.84081.68162.52243.36324.204SE +/- 0.0660, N = 2SE +/- 0.1040, N = 23.73693.6962MIN: 3.08 / MAX: 4.7MIN: 3.06 / MAX: 4.78
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Crownab246810Min: 3.67 / Avg: 3.74 / Max: 3.8Min: 3.59 / Avg: 3.7 / Max: 3.8

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: Lowab50100150200250SE +/- 0.72, N = 2SE +/- 0.60, N = 2205.61205.45MIN: 99 / MAX: 336MIN: 95 / MAX: 334
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.6Resolution: 1920 x 1080 - Effects Quality: Lowab4080120160200Min: 204.89 / Avg: 205.61 / Max: 206.32Min: 204.85 / Avg: 205.45 / Max: 206.05

Apache IoTDB

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500ab120240360480600550.47485.93MAX: 3020.53MAX: 2859.52

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500ab2M4M6M8M10M8609112.979394851.37

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeab1224364860SE +/- 0.59, N = 2SE +/- 0.02, N = 252.5950.08
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeab1122334455Min: 52 / Avg: 52.59 / Max: 53.18Min: 50.07 / Avg: 50.08 / Max: 50.1

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon Objab0.93761.87522.81283.75044.688SE +/- 0.0272, N = 2SE +/- 0.1882, N = 24.16703.9923MIN: 3.5 / MAX: 5.07MIN: 3.51 / MAX: 5.03
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon Objab246810Min: 4.14 / Avg: 4.17 / Max: 4.19Min: 3.8 / Avg: 3.99 / Max: 4.18

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyab0.0270.0540.0810.1080.135SE +/- 0.00, N = 2SE +/- 0.00, N = 20.120.12
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyab12345Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyab0.0270.0540.0810.1080.135SE +/- 0.00, N = 2SE +/- 0.00, N = 20.120.12
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyab12345Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.11 / Avg: 0.12 / Max: 0.12

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetab1.27352.5473.82055.0946.3675SE +/- 0.20, N = 2SE +/- 0.04, N = 25.665.47MIN: 5.23 / MAX: 24.86MIN: 5.21 / MAX: 24.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetab246810Min: 5.46 / Avg: 5.66 / Max: 5.86Min: 5.43 / Avg: 5.47 / Max: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerab50100150200250SE +/- 3.20, N = 2SE +/- 3.18, N = 2240.03235.51MIN: 196.33 / MAX: 300.62MIN: 187.15 / MAX: 291.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerab4080120160200Min: 236.83 / Avg: 240.03 / Max: 243.23Min: 232.33 / Avg: 235.51 / Max: 238.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mab3691215SE +/- 0.01, N = 2SE +/- 0.07, N = 29.8210.41MIN: 9.26 / MAX: 25.33MIN: 9.74 / MAX: 26.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mab3691215Min: 9.81 / Avg: 9.82 / Max: 9.83Min: 10.34 / Avg: 10.41 / Max: 10.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdab48121620SE +/- 0.47, N = 2SE +/- 0.84, N = 215.9715.48MIN: 13.93 / MAX: 35.68MIN: 13.66 / MAX: 36.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdab48121620Min: 15.5 / Avg: 15.97 / Max: 16.43Min: 14.64 / Avg: 15.48 / Max: 16.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyab918273645SE +/- 1.02, N = 2SE +/- 1.11, N = 239.3939.17MIN: 36.4 / MAX: 60.27MIN: 36.39 / MAX: 59.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyab816243240Min: 38.37 / Avg: 39.39 / Max: 40.41Min: 38.06 / Avg: 39.17 / Max: 40.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50ab816243240SE +/- 0.55, N = 2SE +/- 1.36, N = 233.1833.60MIN: 31.12 / MAX: 58.5MIN: 30.7 / MAX: 59.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50ab714212835Min: 32.63 / Avg: 33.18 / Max: 33.73Min: 32.24 / Avg: 33.6 / Max: 34.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetab3691215SE +/- 0.03, N = 2SE +/- 0.04, N = 211.6711.69MIN: 11.06 / MAX: 27.75MIN: 10.95 / MAX: 28.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetab3691215Min: 11.64 / Avg: 11.67 / Max: 11.7Min: 11.65 / Avg: 11.69 / Max: 11.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18ab3691215SE +/- 0.04, N = 2SE +/- 0.04, N = 212.7312.56MIN: 11.94 / MAX: 28.78MIN: 11.83 / MAX: 29.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18ab48121620Min: 12.68 / Avg: 12.73 / Max: 12.77Min: 12.52 / Avg: 12.56 / Max: 12.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16ab20406080100SE +/- 0.23, N = 2SE +/- 0.11, N = 297.7096.26MIN: 94.39 / MAX: 117.31MIN: 93.43 / MAX: 114.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16ab20406080100Min: 97.47 / Avg: 97.7 / Max: 97.93Min: 96.15 / Avg: 96.26 / Max: 96.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetab48121620SE +/- 0.00, N = 2SE +/- 0.01, N = 216.2916.19MIN: 14.94 / MAX: 33.61MIN: 14.91 / MAX: 32.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetab48121620Min: 16.29 / Avg: 16.29 / Max: 16.29Min: 16.18 / Avg: 16.19 / Max: 16.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceab0.2160.4320.6480.8641.08SE +/- 0.00, N = 2SE +/- 0.01, N = 20.940.96MIN: 0.86 / MAX: 3.07MIN: 0.8 / MAX: 3.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceab246810Min: 0.93 / Avg: 0.94 / Max: 0.94Min: 0.95 / Avg: 0.96 / Max: 0.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0ab3691215SE +/- 0.07, N = 2SE +/- 0.02, N = 29.229.34MIN: 8.52 / MAX: 24.96MIN: 8.61 / MAX: 25.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0ab3691215Min: 9.14 / Avg: 9.22 / Max: 9.29Min: 9.32 / Avg: 9.34 / Max: 9.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetab1.18352.3673.55054.7345.9175SE +/- 0.81, N = 2SE +/- 0.78, N = 25.235.26MIN: 4.05 / MAX: 26.68MIN: 4.06 / MAX: 22.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetab246810Min: 4.42 / Avg: 5.23 / Max: 6.04Min: 4.48 / Avg: 5.26 / Max: 6.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2ab0.82581.65162.47743.30324.129SE +/- 0.63, N = 2SE +/- 0.62, N = 23.663.67MIN: 2.74 / MAX: 16.28MIN: 2.75 / MAX: 19.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2ab246810Min: 3.03 / Avg: 3.66 / Max: 4.29Min: 3.05 / Avg: 3.67 / Max: 4.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ab1.14982.29963.44944.59925.749SE +/- 0.77, N = 2SE +/- 0.80, N = 25.115.11MIN: 4.07 / MAX: 20.14MIN: 4.05 / MAX: 26.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ab246810Min: 4.34 / Avg: 5.11 / Max: 5.87Min: 4.31 / Avg: 5.11 / Max: 5.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ab246810SE +/- 0.67, N = 2SE +/- 0.65, N = 26.676.67MIN: 5.54 / MAX: 27.83MIN: 5.58 / MAX: 27.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ab3691215Min: 6 / Avg: 6.67 / Max: 7.33Min: 6.02 / Avg: 6.67 / Max: 7.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetab714212835SE +/- 0.19, N = 2SE +/- 0.57, N = 228.1527.38MIN: 26.87 / MAX: 48.42MIN: 24.23 / MAX: 47.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetab612182430Min: 27.96 / Avg: 28.15 / Max: 28.34Min: 26.8 / Avg: 27.38 / Max: 27.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeab0.30910.61820.92731.23641.5455SE +/- 0.00084, N = 2SE +/- 0.00287, N = 21.373991.34467
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeab246810Min: 1.37 / Avg: 1.37 / Max: 1.37Min: 1.34 / Avg: 1.34 / Max: 1.35

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetab1.24882.49763.74644.99526.244SE +/- 0.04, N = 2SE +/- 0.16, N = 25.395.55MIN: 5.09 / MAX: 24.31MIN: 5.23 / MAX: 25.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetab246810Min: 5.35 / Avg: 5.39 / Max: 5.43Min: 5.39 / Avg: 5.55 / Max: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerab50100150200250SE +/- 0.17, N = 2SE +/- 5.04, N = 2233.96232.17MIN: 196.52 / MAX: 292.9MIN: 187.55 / MAX: 291.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerab4080120160200Min: 233.79 / Avg: 233.96 / Max: 234.13Min: 227.13 / Avg: 232.17 / Max: 237.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mab3691215SE +/- 0.14, N = 2SE +/- 0.04, N = 210.0310.12MIN: 8.93 / MAX: 25.51MIN: 9.48 / MAX: 25.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mab3691215Min: 9.89 / Avg: 10.03 / Max: 10.17Min: 10.08 / Avg: 10.12 / Max: 10.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdab48121620SE +/- 0.30, N = 2SE +/- 0.37, N = 216.5515.80MIN: 15.48 / MAX: 37.44MIN: 13.81 / MAX: 36.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdab48121620Min: 16.25 / Avg: 16.55 / Max: 16.84Min: 15.43 / Avg: 15.8 / Max: 16.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyab918273645SE +/- 0.08, N = 2SE +/- 0.83, N = 238.3739.31MIN: 36.54 / MAX: 54.65MIN: 36.44 / MAX: 59.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyab816243240Min: 38.29 / Avg: 38.37 / Max: 38.45Min: 38.48 / Avg: 39.31 / Max: 40.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50ab816243240SE +/- 0.05, N = 2SE +/- 1.96, N = 236.0234.33MIN: 31.18 / MAX: 61.6MIN: 30.77 / MAX: 59.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50ab816243240Min: 35.97 / Avg: 36.02 / Max: 36.06Min: 32.37 / Avg: 34.33 / Max: 36.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetab3691215SE +/- 0.06, N = 2SE +/- 0.07, N = 211.6811.64MIN: 10.92 / MAX: 27.91MIN: 10.99 / MAX: 27.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetab3691215Min: 11.62 / Avg: 11.68 / Max: 11.73Min: 11.57 / Avg: 11.64 / Max: 11.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18ab3691215SE +/- 0.04, N = 2SE +/- 0.11, N = 212.6112.62MIN: 11.89 / MAX: 29.06MIN: 11.83 / MAX: 28.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18ab48121620Min: 12.57 / Avg: 12.61 / Max: 12.65Min: 12.51 / Avg: 12.62 / Max: 12.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16ab20406080100SE +/- 0.26, N = 2SE +/- 2.34, N = 297.4298.75MIN: 94.57 / MAX: 115.91MIN: 90.66 / MAX: 1242.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16ab20406080100Min: 97.16 / Avg: 97.42 / Max: 97.67Min: 96.41 / Avg: 98.75 / Max: 101.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetab48121620SE +/- 0.08, N = 2SE +/- 0.10, N = 216.2316.19MIN: 15.01 / MAX: 32.85MIN: 14.97 / MAX: 32.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetab48121620Min: 16.15 / Avg: 16.23 / Max: 16.3Min: 16.09 / Avg: 16.19 / Max: 16.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceab0.20930.41860.62790.83721.0465SE +/- 0.01, N = 2SE +/- 0.00, N = 20.910.93MIN: 0.78 / MAX: 3.03MIN: 0.8 / MAX: 3.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceab246810Min: 0.9 / Avg: 0.91 / Max: 0.91Min: 0.93 / Avg: 0.93 / Max: 0.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0ab3691215SE +/- 0.65, N = 2SE +/- 0.02, N = 29.789.43MIN: 8.38 / MAX: 32.56MIN: 8.62 / MAX: 26.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0ab3691215Min: 9.13 / Avg: 9.78 / Max: 10.42Min: 9.4 / Avg: 9.43 / Max: 9.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetab246810SE +/- 0.02, N = 2SE +/- 0.02, N = 26.044.49MIN: 5.41 / MAX: 26.6MIN: 4.03 / MAX: 20.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetab246810Min: 6.01 / Avg: 6.04 / Max: 6.06Min: 4.46 / Avg: 4.49 / Max: 4.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2ab0.96531.93062.89593.86124.8265SE +/- 0.02, N = 2SE +/- 0.01, N = 24.293.02MIN: 3.99 / MAX: 24.93MIN: 2.73 / MAX: 18.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2ab246810Min: 4.26 / Avg: 4.29 / Max: 4.31Min: 3 / Avg: 3.02 / Max: 3.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3ab1.15652.3133.46954.6265.7825SE +/- 0.80, N = 2SE +/- 0.04, N = 25.144.31MIN: 4.05 / MAX: 26.81MIN: 4.05 / MAX: 20.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3ab246810Min: 4.34 / Avg: 5.14 / Max: 5.94Min: 4.27 / Avg: 4.31 / Max: 4.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2ab246810SE +/- 0.70, N = 2SE +/- 0.07, N = 26.696.15MIN: 5.6 / MAX: 28.58MIN: 5.65 / MAX: 26.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2ab3691215Min: 5.99 / Avg: 6.69 / Max: 7.39Min: 6.08 / Avg: 6.15 / Max: 6.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetab714212835SE +/- 0.19, N = 2SE +/- 0.03, N = 225.9327.68MIN: 23.82 / MAX: 45.07MIN: 24.92 / MAX: 47.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetab612182430Min: 25.74 / Avg: 25.93 / Max: 26.11Min: 27.65 / Avg: 27.68 / Max: 27.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragonab0.94911.89822.84733.79644.7455SE +/- 0.0414, N = 2SE +/- 0.0239, N = 24.21834.1998MIN: 3.54 / MAX: 5.31MIN: 3.54 / MAX: 5.43
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragonab246810Min: 4.18 / Avg: 4.22 / Max: 4.26Min: 4.18 / Avg: 4.2 / Max: 4.22

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 4 - Input: Bosphorus 4Kab0.24570.49140.73710.98281.2285SE +/- 0.023, N = 2SE +/- 0.003, N = 21.0920.9481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 4 - Input: Bosphorus 4Kab246810Min: 1.07 / Avg: 1.09 / Max: 1.11Min: 0.95 / Avg: 0.95 / Max: 0.951. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fastab0.87861.75722.63583.51444.393SE +/- 0.015, N = 2SE +/- 0.042, N = 23.9053.7901. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fastab246810Min: 3.89 / Avg: 3.9 / Max: 3.92Min: 3.75 / Avg: 3.79 / Max: 3.831. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 4ab4080120160200SE +/- 17.49, N = 2SE +/- 0.50, N = 2125.83173.051. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 4ab306090120150Min: 108.34 / Avg: 125.83 / Max: 143.32Min: 172.54 / Avg: 173.04 / Max: 173.551. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 2ab4080120160200SE +/- 24.93, N = 2SE +/- 1.42, N = 2123.47170.011. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 2ab306090120150Min: 98.54 / Avg: 123.47 / Max: 148.39Min: 168.59 / Avg: 170.01 / Max: 171.441. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragonab1.07742.15483.23224.30965.387SE +/- 0.0697, N = 2SE +/- 0.0364, N = 24.78834.7636MIN: 4.05 / MAX: 5.89MIN: 4.05 / MAX: 5.98
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragonab246810Min: 4.72 / Avg: 4.79 / Max: 4.86Min: 4.73 / Avg: 4.76 / Max: 4.8

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab160320480640800SE +/- 113.73, N = 2SE +/- 2.10, N = 2764.27614.68
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab130260390520650Min: 650.54 / Avg: 764.27 / Max: 878Min: 612.58 / Avg: 614.68 / Max: 616.78

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab0.73041.46082.19122.92163.652SE +/- 0.3971, N = 2SE +/- 0.0188, N = 22.66773.2461
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab246810Min: 2.27 / Avg: 2.67 / Max: 3.06Min: 3.23 / Avg: 3.25 / Max: 3.26

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: 64ab20406080100SE +/- 4.45, N = 2SE +/- 4.80, N = 290.990.81. (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 -march=core-avx2
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64ab20406080100Min: 86.4 / Avg: 90.85 / Max: 95.3Min: 86 / Avg: 90.8 / Max: 95.61. (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 -march=core-avx2

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesab6K12K18K24K30KSE +/- 149.00, N = 2SE +/- 71.50, N = 22642226438
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesab5K10K15K20K25KMin: 26273 / Avg: 26422 / Max: 26571Min: 26366 / Avg: 26437.5 / Max: 26509

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.smt2ab306090120150SE +/- 0.11, N = 2SE +/- 0.05, N = 2130.94131.411. (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.smt2ab20406080100Min: 130.83 / Avg: 130.94 / Max: 131.05Min: 131.36 / Avg: 131.4 / Max: 131.451. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

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: 32ab1122334455SE +/- 0.35, N = 2SE +/- 0.55, N = 247.748.01. (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 -march=core-avx2
OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32ab1020304050Min: 47.3 / Avg: 47.65 / Max: 48Min: 47.4 / Avg: 47.95 / Max: 48.51. (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 -march=core-avx2

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeab0.3360.6721.0081.3441.68SE +/- 0.09686, N = 2SE +/- 0.02805, N = 21.493341.36920
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeab246810Min: 1.4 / Avg: 1.49 / Max: 1.59Min: 1.34 / Avg: 1.37 / Max: 1.4

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab20406080100SE +/- 0.32, N = 2SE +/- 0.22, N = 293.8558.24
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab20406080100Min: 93.53 / Avg: 93.85 / Max: 94.17Min: 58.02 / Avg: 58.24 / Max: 58.46

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab816243240SE +/- 0.07, N = 2SE +/- 0.13, N = 221.3034.32
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab714212835Min: 21.23 / Avg: 21.3 / Max: 21.37Min: 34.19 / Avg: 34.32 / Max: 34.45

Apache IoTDB

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500ab2040608010075.4070.46MAX: 1528.52MAX: 1429.13

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500ab140K280K420K560K700K611157.73637041.62

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeab0.15970.31940.47910.63880.7985SE +/- 0.014296, N = 2SE +/- 0.025213, N = 20.6221820.709986
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeab246810Min: 0.61 / Avg: 0.62 / Max: 0.64Min: 0.68 / Avg: 0.71 / Max: 0.74

Apache IoTDB

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500ab80160240320400342.21387.15MAX: 2349.14MAX: 2248.18

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500ab3M6M9M12M15M13467917.3112006039.14

Redis 7.0.12 + memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10ab300K600K900K1200K1500KSE +/- 45279.14, N = 2SE +/- 63299.47, N = 2914462.021253523.691. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10ab200K400K600K800K1000KMin: 869182.88 / Avg: 914462.02 / Max: 959741.15Min: 1190224.22 / Avg: 1253523.69 / Max: 1316823.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5ab300K600K900K1200K1500KSE +/- 8374.42, N = 2SE +/- 25673.44, N = 2890374.231248610.701. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5ab200K400K600K800K1000KMin: 881999.8 / Avg: 890374.23 / Max: 898748.65Min: 1222937.26 / Avg: 1248610.7 / Max: 1274284.141. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

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

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:5ab110K220K330K440K550KSE +/- 12286.93, N = 2SE +/- 13966.62, N = 2525368.39518308.201. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:5ab90K180K270K360K450KMin: 513081.46 / Avg: 525368.39 / Max: 537655.32Min: 504341.58 / Avg: 518308.2 / Max: 532274.821. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Redis 7.0.12 + memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10ab300K600K900K1200K1500KSE +/- 19181.49, N = 2SE +/- 18012.65, N = 21109812.441455171.861. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10ab300K600K900K1200K1500KMin: 1090630.95 / Avg: 1109812.44 / Max: 1128993.92Min: 1437159.21 / Avg: 1455171.86 / Max: 1473184.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10ab300K600K900K1200K1500KSE +/- 568.99, N = 2SE +/- 8107.22, N = 21028641.191377833.481. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10ab200K400K600K800K1000KMin: 1028072.2 / Avg: 1028641.19 / Max: 1029210.18Min: 1369726.26 / Avg: 1377833.48 / Max: 1385940.71. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5ab300K600K900K1200K1500KSE +/- 44860.53, N = 2SE +/- 39391.55, N = 21016703.271372033.181. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5ab200K400K600K800K1000KMin: 971842.74 / Avg: 1016703.27 / Max: 1061563.79Min: 1332641.63 / Avg: 1372033.18 / Max: 1411424.721. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5ab300K600K900K1200K1500KSE +/- 43465.56, N = 2SE +/- 4729.88, N = 21039311.121398883.011. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5ab200K400K600K800K1000KMin: 995845.55 / Avg: 1039311.12 / Max: 1082776.68Min: 1394153.12 / Avg: 1398883.01 / Max: 1403612.891. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

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

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10ab110K220K330K440K550KSE +/- 9547.84, N = 2SE +/- 4490.17, N = 2502050.43486807.491. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10ab90K180K270K360K450KMin: 492502.59 / Avg: 502050.43 / Max: 511598.27Min: 482317.32 / Avg: 486807.49 / Max: 491297.661. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100ab110K220K330K440K550KSE +/- 10780.90, N = 2SE +/- 14781.65, N = 2496309.76485922.631. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100ab90K180K270K360K450KMin: 485528.86 / Avg: 496309.76 / Max: 507090.65Min: 471140.98 / Avg: 485922.63 / Max: 500704.281. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeab0.16770.33540.50310.67080.8385SE +/- 0.009807, N = 2SE +/- 0.008961, N = 20.7451460.734783
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeab246810Min: 0.74 / Avg: 0.75 / Max: 0.75Min: 0.73 / Avg: 0.73 / Max: 0.74

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 8 - Input: Bosphorus 4Kab3691215SE +/- 0.307, N = 2SE +/- 1.160, N = 29.4909.4361. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 8 - Input: Bosphorus 4Kab3691215Min: 9.18 / Avg: 9.49 / Max: 9.8Min: 8.28 / Avg: 9.44 / Max: 10.61. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamab714212835SE +/- 0.17, N = 2SE +/- 0.13, N = 230.5430.57
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamab714212835Min: 30.37 / Avg: 30.54 / Max: 30.71Min: 30.43 / Avg: 30.57 / Max: 30.7

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamab1530456075SE +/- 0.37, N = 2SE +/- 0.29, N = 265.4365.36
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamab1326395265Min: 65.05 / Avg: 65.42 / Max: 65.8Min: 65.07 / Avg: 65.36 / Max: 65.65

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fasterab3691215SE +/- 0.090, N = 2SE +/- 0.603, N = 29.8829.8681. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fasterab3691215Min: 9.79 / Avg: 9.88 / Max: 9.97Min: 9.27 / Avg: 9.87 / Max: 10.471. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab50100150200250SE +/- 13.47, N = 2SE +/- 3.79, N = 2211.98179.08
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab4080120160200Min: 198.51 / Avg: 211.98 / Max: 225.46Min: 175.29 / Avg: 179.08 / Max: 182.87

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab3691215SE +/- 0.6045, N = 2SE +/- 0.2364, N = 29.455311.1719
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamab3691215Min: 8.85 / Avg: 9.46 / Max: 10.06Min: 10.94 / Avg: 11.17 / Max: 11.41

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeab0.23890.47780.71670.95561.1945SE +/- 0.011835, N = 2SE +/- 0.016867, N = 21.0616401.012953
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeab246810Min: 1.05 / Avg: 1.06 / Max: 1.07Min: 1 / Avg: 1.01 / Max: 1.03

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database with a variable number of concurrent repetitions -- up to the maximum number of CPU threads available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 1ab20406080100SE +/- 0.86, N = 2SE +/- 0.19, N = 230.3388.591. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.41.2Threads / Copies: 1ab20406080100Min: 29.46 / Avg: 30.33 / Max: 31.19Min: 88.39 / Avg: 88.59 / Max: 88.781. (CC) gcc options: -O2 -lreadline -ltermcap -lz -lm

Apache IoTDB

OpenBenchmarking.orgAverage Latency, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200ab306090120150144.53143.24MAX: 1992.27MAX: 2073.51

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200ab3M6M9M12M15M12613348.9312464073.00

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab140280420560700SE +/- 12.84, N = 2SE +/- 79.47, N = 2669.18628.36
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab120240360480600Min: 656.34 / Avg: 669.18 / Max: 682.02Min: 548.89 / Avg: 628.36 / Max: 707.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab0.72721.45442.18162.90883.636SE +/- 0.0495, N = 2SE +/- 0.4116, N = 22.98153.2320
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab246810Min: 2.93 / Avg: 2.98 / Max: 3.03Min: 2.82 / Avg: 3.23 / Max: 3.64

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab2004006008001000SE +/- 0.29, N = 2SE +/- 13.19, N = 2979.18835.85
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab2004006008001000Min: 978.89 / Avg: 979.18 / Max: 979.47Min: 822.67 / Avg: 835.85 / Max: 849.04

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab0.53741.07481.61222.14962.687SE +/- 0.0085, N = 2SE +/- 0.0327, N = 22.03092.3883
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab246810Min: 2.02 / Avg: 2.03 / Max: 2.04Min: 2.36 / Avg: 2.39 / Max: 2.42

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab50100150200250SE +/- 31.56, N = 2SE +/- 32.45, N = 2244.56245.64
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab4080120160200Min: 213 / Avg: 244.56 / Max: 276.12Min: 213.2 / Avg: 245.64 / Max: 278.09

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab246810SE +/- 1.0816, N = 2SE +/- 1.0939, N = 28.30098.2832
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamab3691215Min: 7.22 / Avg: 8.3 / Max: 9.38Min: 7.19 / Avg: 8.28 / Max: 9.38

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab1632486480SE +/- 5.54, N = 2SE +/- 6.64, N = 269.5670.82
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab1428425670Min: 64.02 / Avg: 69.56 / Max: 75.1Min: 64.18 / Avg: 70.82 / Max: 77.46

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab714212835SE +/- 2.30, N = 2SE +/- 2.67, N = 228.9228.46
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamab612182430Min: 26.62 / Avg: 28.92 / Max: 31.22Min: 25.8 / Avg: 28.46 / Max: 31.13

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Summer Nature 4Kab1530456075SE +/- 0.31, N = 2SE +/- 2.35, N = 267.0166.381. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Summer Nature 4Kab1326395265Min: 66.7 / Avg: 67.01 / Max: 67.32Min: 64.03 / Avg: 66.38 / Max: 68.731. (CC) gcc options: -pthread -lm

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab2004006008001000SE +/- 75.66, N = 2SE +/- 86.04, N = 2855.68864.99
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab150300450600750Min: 780.01 / Avg: 855.68 / Max: 931.34Min: 778.96 / Avg: 864.99 / Max: 951.03

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab0.52941.05881.58822.11762.647SE +/- 0.2053, N = 2SE +/- 0.2323, N = 22.35272.3352
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab246810Min: 2.15 / Avg: 2.35 / Max: 2.56Min: 2.1 / Avg: 2.34 / Max: 2.57

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Chimera 1080p 10-bitab4080120160200SE +/- 19.41, N = 2SE +/- 12.81, N = 2191.30190.871. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Chimera 1080p 10-bitab4080120160200Min: 171.89 / Avg: 191.3 / Max: 210.71Min: 178.06 / Avg: 190.87 / Max: 203.681. (CC) gcc options: -pthread -lm

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.smt2ab1020304050SE +/- 0.05, N = 2SE +/- 0.18, N = 243.9743.421. (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.smt2ab918273645Min: 43.92 / Avg: 43.97 / Max: 44.02Min: 43.24 / Avg: 43.42 / Max: 43.61. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab306090120150SE +/- 15.66, N = 2SE +/- 14.87, N = 2116.2798.71
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab20406080100Min: 100.61 / Avg: 116.27 / Max: 131.92Min: 83.84 / Avg: 98.71 / Max: 113.59

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab510152025SE +/- 2.36, N = 2SE +/- 3.12, N = 217.5120.73
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab510152025Min: 15.15 / Avg: 17.51 / Max: 19.87Min: 17.6 / Avg: 20.73 / Max: 23.85

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab4080120160200SE +/- 21.74, N = 2SE +/- 1.05, N = 2162.16154.26
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab306090120150Min: 140.43 / Avg: 162.16 / Max: 183.9Min: 153.21 / Avg: 154.26 / Max: 155.31

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab3691215SE +/- 1.68, N = 2SE +/- 0.10, N = 212.5412.95
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab48121620Min: 10.87 / Avg: 12.54 / Max: 14.22Min: 12.85 / Avg: 12.95 / Max: 13.05

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab306090120150SE +/- 15.16, N = 2SE +/- 17.32, N = 2137.95139.05
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab306090120150Min: 122.79 / Avg: 137.95 / Max: 153.11Min: 121.73 / Avg: 139.05 / Max: 156.37

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab48121620SE +/- 1.61, N = 2SE +/- 1.82, N = 214.6714.61
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab48121620Min: 13.06 / Avg: 14.67 / Max: 16.28Min: 12.79 / Avg: 14.61 / Max: 16.43

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab1530456075SE +/- 6.09, N = 2SE +/- 7.55, N = 265.9568.00
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab1326395265Min: 59.86 / Avg: 65.95 / Max: 72.04Min: 60.45 / Avg: 68 / Max: 75.55

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab714212835SE +/- 2.83, N = 2SE +/- 3.30, N = 230.5729.76
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab714212835Min: 27.74 / Avg: 30.57 / Max: 33.4Min: 26.46 / Avg: 29.76 / Max: 33.06

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab1530456075SE +/- 6.60, N = 2SE +/- 6.42, N = 268.0569.62
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab1326395265Min: 61.45 / Avg: 68.05 / Max: 74.64Min: 63.2 / Avg: 69.62 / Max: 76.04

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab714212835SE +/- 2.87, N = 2SE +/- 2.67, N = 229.6628.96
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab714212835Min: 26.78 / Avg: 29.66 / Max: 32.53Min: 26.29 / Avg: 28.96 / Max: 31.63

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab3691215SE +/- 1.04, N = 2SE +/- 1.15, N = 210.2510.34
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab3691215Min: 9.2 / Avg: 10.25 / Max: 11.29Min: 9.19 / Avg: 10.34 / Max: 11.49

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab4080120160200SE +/- 20.06, N = 2SE +/- 21.75, N = 2196.78195.49
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab4080120160200Min: 176.73 / Avg: 196.78 / Max: 216.84Min: 173.73 / Avg: 195.49 / Max: 217.24

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 4 - Input: Bosphorus 1080pab1.07392.14783.22174.29565.3695SE +/- 0.495, N = 2SE +/- 0.109, N = 24.2604.7731. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.6Encoder Mode: Preset 4 - Input: Bosphorus 1080pab246810Min: 3.77 / Avg: 4.26 / Max: 4.76Min: 4.66 / Avg: 4.77 / Max: 4.881. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Chimera 1080pab50100150200250SE +/- 2.76, N = 2SE +/- 1.95, N = 2244.12249.621. (CC) gcc options: -pthread -lm