AVX-512 Core i9 Intel Rocket Lake

Benchmarks for a future article. Intel Core i9-11900K testing with a ASUS ROG MAXIMUS XIII HERO (1402 BIOS) and ASUS Intel RKL GT1 31GB on Ubuntu 22.10 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 2210210-NE-AVX512ROC09
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i9-11900K: AVX-512 On
October 18 2022
  1 Day, 1 Hour, 48 Minutes
i9-11900K: AVX-512 Off
October 19 2022
  1 Day, 2 Hours, 28 Minutes
i9-11900K: AVX-512 On 512
October 20 2022
  1 Day, 1 Hour, 45 Minutes
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AVX-512 Core i9 Intel Rocket LakeOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads)ASUS ROG MAXIMUS XIII HERO (1402 BIOS)Intel Tiger Lake-H32GB2000GB Corsair Force MP600 + 32GB Flash DriveASUS Intel RKL GT1 31GB (1300MHz)Intel Tiger Lake-H HD AudioASUS MG28U2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.105.19.0-21-generic (x86_64)GNOME Shell 43.0X Server + Wayland4.6 Mesa 22.2.11.3.224GCC 12.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionAVX-512 Core I9 Intel Rocket Lake BenchmarksSystem Logs- Transparent Huge Pages: madvise- i9-11900K: AVX-512 On: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native" - i9-11900K: AVX-512 Off: CXXFLAGS="-O3 -march=native -mno-avx512f" CFLAGS="-O3 -march=native -mno-avx512f" - i9-11900K: AVX-512 On 512: CXXFLAGS="-O3 -march=native -mprefer-vector-width=512" CFLAGS="-O3 -march=native -mprefer-vector-width=512" - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/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-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 - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x54 - Thermald 2.5.1 - Python 3.10.7- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoredeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - 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, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-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 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - 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: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - 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 Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: Cell Phone Drop Testopenradioss: Bumper Beamopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timelczero: BLASlczero: Eigensimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetdav1d: Summer Nature 1080pdav1d: Summer Nature 4Kdav1d: Chimera 1080pdav1d: Chimera 1080p 10-bitembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownopenvkl: vklBenchmark ISPCoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096ospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Traceronednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: Blake-2 Scpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Ringcoincpuminer-opt: Deepcoincpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditsxmrig: Monero - 1Mxmrig: Wownero - 1Mmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDettnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2tensorflow: CPU - 16 - VGG-16tensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 16 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 32 - VGG-16tensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 32 - AlexNettensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 64 - VGG-16tensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 256 - VGG-16tensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 512 - GoogLeNetopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelnumpy: gromacs: MPI CPU - water_GMX50_barei9-11900K AVX-512 On AVX-512 Off AVX-512 On 51213762069344535.383428.256740.866897.848168.760714.538180.674749.5682132.91247.5173155.385225.72858.8759112.67568.9516446.881443.675322.890036.5979109.280849.665120.125950.767078.77618.9135112.18918.9588446.4889309.21250.33120.62177.40759.2345.488465538.97618126811868.521.474.548.788.82894.73207.14734.61510.8816.512914.429814.62521130.430.430.214.420724.370425.364614.958224.98037173.13419583105465723774312726725126123583766278746937315290330258214.361912.109916.16408.551930.84066020.80584.330631.4704917.30844.035540.7207028.5527410.63473.013774.819043.267731.321343.817933079.963088.893093.581814.651817.591814.0323170016750040573452.82862110387.724384.382152.9411148.96111730770832239.54015.07.4680.9381.67010.2953.0732.1311.97219.58012.283.732.682.332.624.860.8010.1644.748.696.9815.9920.9917.197.0587.292.982704.934245.952230.81947.1937.7620.4680.7563.348.3221.24112.1064.228.7321.86136.9265.029.4222.20163.8766.63173.6767.682.971346.9912.23326.769379.270.8523074.820.341.782235.541.762250.021240.566.43320.8024.92623.176.41108.6136.80286.4313.9535.62112.27529319102737356495010085196954554822491388631.241.03114141282269628.967734.514535.5207112.598956.592817.664069.100557.876485.977711.6244101.636539.34507.8089128.05238.1213492.376725.540739.144826.5261150.766843.393323.035443.230692.50547.8337127.64698.1425491.1153311.82243.47128.16174.60713.3546.532622538.29062124010626.201.363.866.336.35879.37192.71691.43487.0915.895214.022713.8618870.430.430.212.828212.723784.057456.024465.91636164.963213434112721458450139519275693256140948858541014816650832952715.609314.84118.397721.778325.393272.311833.226801.2439611.67712.186703.673601.403303271.063270.553271.272000.122003.542006.021061376466316150453.39393213359.012381.452130.499966.1070720272702256.14076.47.1390.9422.02318.0433.6941.9341.79823.41811.433.342.492.332.374.350.769.5545.688.246.3315.4018.8013.896.70110.382.852703.558241.314228.68346.3605.6912.2967.8036.225.9512.3287.7936.496.1112.37103.3136.946.2212.48117.4337.37107.7233.922.601525.184.88817.177956.781.0014973.880.531.542563.451.542563.87533.7914.98252.6915.81310.3812.88141.3028.29325.9512.2631.70126.09517315100727279451510425156954555719511278575.791.02013632076343935.423828.224940.802198.028668.771514.535581.021649.3593133.74357.4707156.812125.49498.9905111.22499.0886440.099443.440823.013436.8617108.489049.991319.993951.357377.87309.0118110.96179.0792440.5608315.86240.62118.89175.69755.6045.3321535.10825127311948.511.474.538.778.82902.92190.82727.76477.0916.454114.350214.61981120.430.430.214.469064.367725.353014.952804.95148173.73919513118065447773412754025069823643762078809937615310130396614.283512.017816.16058.508910.84637620.26124.325641.4694817.26874.032940.7159258.553749.951132.752464.648143.217421.309063.669453062.363073.172986.721739.491738.001715.7523068716479040663449.42895513379.944392.292190.9111270112403763932252.64075.57.5270.9631.67510.3683.1142.1251.98919.40312.283.772.712.332.584.790.809.9644.598.646.6916.2422.0117.347.1070.392.982695.646240.410228.42445.6797.7620.5582.1063.838.2921.29113.2564.428.6921.88137.7565.159.4222.13163.0966.49172.6667.672.951352.0812.17328.089460.450.8422962.100.351.782227.691.772244.251242.456.42321.5124.86630.586.33109.0936.64285.7513.9935.55112.48527319103736824462610125246962554522501368631.861.035OpenBenchmarking.org

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500137614141363

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000206912822076

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreAVX-512 OnAVX-512 OffAVX-512 On 5127001400210028003500344526963439

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512816243240SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 335.3828.9735.42
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512816243240Min: 35.26 / Avg: 35.38 / Max: 35.5Min: 28.94 / Avg: 28.97 / Max: 29Min: 35.28 / Avg: 35.42 / Max: 35.63

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512816243240SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 328.2634.5128.22
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512714212835Min: 28.17 / Avg: 28.26 / Max: 28.36Min: 34.47 / Avg: 34.51 / Max: 34.55Min: 28.06 / Avg: 28.22 / Max: 28.34

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512918273645SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 340.8735.5240.80
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512918273645Min: 40.67 / Avg: 40.87 / Max: 41.08Min: 35.49 / Avg: 35.52 / Max: 35.56Min: 40.37 / Avg: 40.8 / Max: 41.12

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.54, N = 397.85112.6098.03
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 97.29 / Avg: 97.85 / Max: 98.35Min: 112.47 / Avg: 112.6 / Max: 112.7Min: 97.26 / Avg: 98.03 / Max: 99.07

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121530456075SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 368.7656.5968.77
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121326395265Min: 68.66 / Avg: 68.76 / Max: 68.85Min: 56.54 / Avg: 56.59 / Max: 56.65Min: 68.71 / Avg: 68.77 / Max: 68.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.5417.6614.54
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 14.52 / Avg: 14.54 / Max: 14.56Min: 17.65 / Avg: 17.66 / Max: 17.68Min: 14.53 / Avg: 14.54 / Max: 14.55

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 51220406080100SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 380.6769.1081.02
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121530456075Min: 80.5 / Avg: 80.67 / Max: 80.91Min: 69.04 / Avg: 69.1 / Max: 69.16Min: 80.94 / Avg: 81.02 / Max: 81.13

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121326395265SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 349.5757.8849.36
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121122334455Min: 49.43 / Avg: 49.57 / Max: 49.67Min: 57.83 / Avg: 57.88 / Max: 57.93Min: 49.3 / Avg: 49.36 / Max: 49.41

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.48, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3132.9185.98133.74
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 131.96 / Avg: 132.91 / Max: 133.51Min: 85.89 / Avg: 85.98 / Max: 86.04Min: 133.57 / Avg: 133.74 / Max: 133.98

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.0274, N = 3SE +/- 0.0062, N = 3SE +/- 0.0069, N = 37.517311.62447.4707
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 7.48 / Avg: 7.52 / Max: 7.57Min: 11.62 / Avg: 11.62 / Max: 11.64Min: 7.46 / Avg: 7.47 / Max: 7.48

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.92, N = 3SE +/- 0.14, N = 3SE +/- 0.68, N = 3155.39101.64156.81
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 153.64 / Avg: 155.39 / Max: 156.77Min: 101.48 / Avg: 101.64 / Max: 101.92Min: 155.49 / Avg: 156.81 / Max: 157.74

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512918273645SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 325.7339.3525.49
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512816243240Min: 25.5 / Avg: 25.73 / Max: 26.01Min: 39.24 / Avg: 39.34 / Max: 39.41Min: 25.35 / Avg: 25.49 / Max: 25.71

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.0785, N = 3SE +/- 0.0071, N = 3SE +/- 0.0301, N = 38.87597.80898.9905
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.73 / Avg: 8.88 / Max: 9Min: 7.8 / Avg: 7.81 / Max: 7.82Min: 8.95 / Avg: 8.99 / Max: 9.05

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 1.00, N = 3SE +/- 0.12, N = 3SE +/- 0.37, N = 3112.68128.05111.22
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 111.12 / Avg: 112.68 / Max: 114.54Min: 127.87 / Avg: 128.05 / Max: 128.27Min: 110.49 / Avg: 111.22 / Max: 111.7

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.0648, N = 3SE +/- 0.0060, N = 3SE +/- 0.0140, N = 38.95168.12139.0886
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.83 / Avg: 8.95 / Max: 9.04Min: 8.11 / Avg: 8.12 / Max: 8.13Min: 9.07 / Avg: 9.09 / Max: 9.12

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512110220330440550SE +/- 3.25, N = 3SE +/- 0.40, N = 3SE +/- 0.68, N = 3446.88492.38440.10
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 51290180270360450Min: 442.44 / Avg: 446.88 / Max: 453.21Min: 491.91 / Avg: 492.38 / Max: 493.18Min: 438.75 / Avg: 440.1 / Max: 440.88

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121020304050SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 343.6825.5443.44
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512918273645Min: 43.34 / Avg: 43.68 / Max: 44.02Min: 25.44 / Avg: 25.54 / Max: 25.62Min: 43.14 / Avg: 43.44 / Max: 43.79

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512918273645SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 322.8939.1423.01
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512816243240Min: 22.71 / Avg: 22.89 / Max: 23.07Min: 39.03 / Avg: 39.14 / Max: 39.3Min: 22.83 / Avg: 23.01 / Max: 23.17

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512816243240SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 336.6026.5336.86
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512816243240Min: 36.54 / Avg: 36.6 / Max: 36.65Min: 26.23 / Avg: 26.53 / Max: 26.7Min: 36.82 / Avg: 36.86 / Max: 36.89

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.09, N = 3SE +/- 0.85, N = 3SE +/- 0.07, N = 3109.28150.77108.49
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 109.12 / Avg: 109.28 / Max: 109.44Min: 149.8 / Avg: 150.77 / Max: 152.45Min: 108.38 / Avg: 108.49 / Max: 108.61

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121122334455SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 349.6743.3949.99
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121020304050Min: 49.38 / Avg: 49.67 / Max: 49.88Min: 43.38 / Avg: 43.39 / Max: 43.4Min: 49.91 / Avg: 49.99 / Max: 50.05

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512612182430SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 320.1323.0419.99
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 20.04 / Avg: 20.13 / Max: 20.24Min: 23.03 / Avg: 23.04 / Max: 23.04Min: 19.97 / Avg: 19.99 / Max: 20.03

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121224364860SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.37, N = 350.7743.2351.36
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5121020304050Min: 50.55 / Avg: 50.77 / Max: 51.04Min: 43.14 / Avg: 43.23 / Max: 43.4Min: 50.99 / Avg: 51.36 / Max: 52.09

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 51220406080100SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.56, N = 378.7892.5177.87
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 78.35 / Avg: 78.78 / Max: 79.11Min: 92.13 / Avg: 92.51 / Max: 92.7Min: 76.76 / Avg: 77.87 / Max: 78.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.0463, N = 3SE +/- 0.0041, N = 3SE +/- 0.0265, N = 38.91357.83379.0118
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.85 / Avg: 8.91 / Max: 9Min: 7.83 / Avg: 7.83 / Max: 7.84Min: 8.98 / Avg: 9.01 / Max: 9.06

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.58, N = 3SE +/- 0.07, N = 3SE +/- 0.33, N = 3112.19127.65110.96
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 111.06 / Avg: 112.19 / Max: 113Min: 127.52 / Avg: 127.65 / Max: 127.74Min: 110.31 / Avg: 110.96 / Max: 111.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.0383, N = 3SE +/- 0.0056, N = 3SE +/- 0.0265, N = 38.95888.14259.0792
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.92 / Avg: 8.96 / Max: 9.04Min: 8.13 / Avg: 8.14 / Max: 8.15Min: 9.03 / Avg: 9.08 / Max: 9.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 512110220330440550SE +/- 1.90, N = 3SE +/- 0.41, N = 3SE +/- 1.29, N = 3446.49491.12440.56
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamAVX-512 OnAVX-512 OffAVX-512 On 51290180270360450Min: 442.69 / Avg: 446.49 / Max: 448.42Min: 490.53 / Avg: 491.12 / Max: 491.91Min: 439.04 / Avg: 440.56 / Max: 443.13

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldAVX-512 OnAVX-512 OffAVX-512 On 51270140210280350SE +/- 0.35, N = 3SE +/- 3.86, N = 4SE +/- 3.22, N = 5309.21311.82315.86
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldAVX-512 OnAVX-512 OffAVX-512 On 51260120180240300Min: 308.7 / Avg: 309.21 / Max: 309.89Min: 307.76 / Avg: 311.82 / Max: 323.38Min: 308.59 / Avg: 315.86 / Max: 323.79

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationAVX-512 OnAVX-512 OffAVX-512 On 51250100150200250SE +/- 2.27, N = 7SE +/- 2.54, N = 5SE +/- 2.53, N = 4250.33243.47240.62
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationAVX-512 OnAVX-512 OffAVX-512 On 51250100150200250Min: 237.4 / Avg: 250.33 / Max: 254.77Min: 240.24 / Avg: 243.47 / Max: 253.62Min: 235.73 / Avg: 240.62 / Max: 247.01

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 1.35, N = 3SE +/- 0.52, N = 3SE +/- 0.31, N = 3120.62128.16118.89
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 118.87 / Avg: 120.62 / Max: 123.28Min: 127.24 / Avg: 128.16 / Max: 129.03Min: 118.32 / Avg: 118.89 / Max: 119.39

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamAVX-512 OnAVX-512 OffAVX-512 On 5124080120160200SE +/- 2.45, N = 3SE +/- 1.56, N = 7SE +/- 1.21, N = 3177.40174.60175.69
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 172.5 / Avg: 177.4 / Max: 180.01Min: 171.08 / Avg: 174.6 / Max: 182.53Min: 174.01 / Avg: 175.69 / Max: 178.03

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerAVX-512 OnAVX-512 OffAVX-512 On 512160320480640800SE +/- 7.20, N = 9SE +/- 4.20, N = 3SE +/- 10.28, N = 3759.23713.35755.60
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerAVX-512 OnAVX-512 OffAVX-512 On 512130260390520650Min: 742.64 / Avg: 759.23 / Max: 791.11Min: 706.43 / Avg: 713.35 / Max: 720.93Min: 743.66 / Avg: 755.6 / Max: 776.06

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeAVX-512 OnAVX-512 OffAVX-512 On 512112233445545.4946.5345.331. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeAVX-512 OnAVX-512 OffAVX-512 On 512120240360480600538.98538.29535.111. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500SE +/- 17.53, N = 3SE +/- 8.35, N = 3SE +/- 11.26, N = 9126812401273-mno-avx512f1. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000Min: 1243 / Avg: 1268.33 / Max: 1302Min: 1223 / Avg: 1239.67 / Max: 1249Min: 1244 / Avg: 1273.33 / Max: 13541. (CXX) g++ options: -flto -O3 -march=native -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500SE +/- 11.35, N = 3SE +/- 10.84, N = 5SE +/- 14.97, N = 3118610621194-mno-avx512f1. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000Min: 1174 / Avg: 1186.33 / Max: 1209Min: 1031 / Avg: 1062.4 / Max: 1087Min: 1176 / Avg: 1194.33 / Max: 12241. (CXX) g++ options: -flto -O3 -march=native -pthread

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 38.526.208.51-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.51 / Avg: 8.52 / Max: 8.52Min: 6.2 / Avg: 6.2 / Max: 6.21Min: 8.5 / Avg: 8.51 / Max: 8.511. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomAVX-512 OnAVX-512 OffAVX-512 On 5120.33080.66160.99241.32321.654SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.471.361.47-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.47 / Avg: 1.47 / Max: 1.48Min: 1.36 / Avg: 1.36 / Max: 1.36Min: 1.47 / Avg: 1.47 / Max: 1.471. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaAVX-512 OnAVX-512 OffAVX-512 On 5121.02152.0433.06454.0865.1075SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.543.864.53-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.53 / Avg: 4.54 / Max: 4.55Min: 3.86 / Avg: 3.86 / Max: 3.86Min: 4.52 / Avg: 4.53 / Max: 4.531. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 38.786.338.77-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.77 / Avg: 8.78 / Max: 8.8Min: 6.33 / Avg: 6.33 / Max: 6.34Min: 8.77 / Avg: 8.77 / Max: 8.781. (CXX) g++ options: -O3 -march=native

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 38.826.358.82-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.8 / Avg: 8.82 / Max: 8.84Min: 6.34 / Avg: 6.35 / Max: 6.36Min: 8.81 / Avg: 8.82 / Max: 8.821. (CXX) g++ options: -O3 -march=native

dav1d

Dav1d is an open-source, speedy AV1 video decoder. 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 1.0Video Input: Summer Nature 1080pAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000SE +/- 0.63, N = 8SE +/- 0.63, N = 8SE +/- 0.57, N = 8894.73879.37902.92-mno-avx512f1. (CC) gcc options: -O3 -march=native -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Summer Nature 1080pAVX-512 OnAVX-512 OffAVX-512 On 512160320480640800Min: 892.46 / Avg: 894.73 / Max: 897.24Min: 876.53 / Avg: 879.37 / Max: 882.38Min: 901.34 / Avg: 902.92 / Max: 905.371. (CC) gcc options: -O3 -march=native -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Summer Nature 4KAVX-512 OnAVX-512 OffAVX-512 On 51250100150200250SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3207.14192.71190.82-mno-avx512f1. (CC) gcc options: -O3 -march=native -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Summer Nature 4KAVX-512 OnAVX-512 OffAVX-512 On 5124080120160200Min: 206.86 / Avg: 207.14 / Max: 207.48Min: 192.52 / Avg: 192.71 / Max: 192.81Min: 190.68 / Avg: 190.82 / Max: 191.051. (CC) gcc options: -O3 -march=native -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Chimera 1080pAVX-512 OnAVX-512 OffAVX-512 On 512160320480640800SE +/- 0.58, N = 4SE +/- 0.49, N = 4SE +/- 0.36, N = 4734.61691.43727.76-mno-avx512f1. (CC) gcc options: -O3 -march=native -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Chimera 1080pAVX-512 OnAVX-512 OffAVX-512 On 512130260390520650Min: 732.92 / Avg: 734.61 / Max: 735.61Min: 690.5 / Avg: 691.43 / Max: 692.76Min: 726.71 / Avg: 727.76 / Max: 728.251. (CC) gcc options: -O3 -march=native -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Chimera 1080p 10-bitAVX-512 OnAVX-512 OffAVX-512 On 512110220330440550SE +/- 0.34, N = 3SE +/- 0.38, N = 3SE +/- 0.21, N = 3510.88487.09477.09-mno-avx512f1. (CC) gcc options: -O3 -march=native -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.0Video Input: Chimera 1080p 10-bitAVX-512 OnAVX-512 OffAVX-512 On 51290180270360450Min: 510.2 / Avg: 510.88 / Max: 511.28Min: 486.35 / Avg: 487.09 / Max: 487.63Min: 476.68 / Avg: 477.09 / Max: 477.41. (CC) gcc options: -O3 -march=native -pthread -lm

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs 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 3.13Binary: Pathtracer ISPC - Model: Asian DragonAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 316.5115.9016.45MIN: 16.3 / MAX: 17.02MIN: 15.66 / MAX: 16.42MIN: 16.21 / MAX: 16.89
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 16.42 / Avg: 16.51 / Max: 16.66Min: 15.78 / Avg: 15.9 / Max: 16.1Min: 16.33 / Avg: 16.45 / Max: 16.52

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 314.4314.0214.35MIN: 14.31 / MAX: 14.74MIN: 13.89 / MAX: 14.33MIN: 14.2 / MAX: 14.69
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 14.41 / Avg: 14.43 / Max: 14.45Min: 13.99 / Avg: 14.02 / Max: 14.07Min: 14.3 / Avg: 14.35 / Max: 14.38

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 314.6313.8614.62MIN: 14.41 / MAX: 15.16MIN: 13.49 / MAX: 14.34MIN: 14.37 / MAX: 15.18
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 14.59 / Avg: 14.63 / Max: 14.69Min: 13.64 / Avg: 13.86 / Max: 14Min: 14.56 / Avg: 14.62 / Max: 14.66

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark ISPCAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 311387112MIN: 10 / MAX: 1116MIN: 7 / MAX: 901MIN: 9 / MAX: 1115
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark ISPCAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 112 / Avg: 112.67 / Max: 113Min: 87 / Avg: 87 / Max: 87Min: 111 / Avg: 111.67 / Max: 113

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160AVX-512 OnAVX-512 OffAVX-512 On 5120.09680.19360.29040.38720.484SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.430.430.43
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160AVX-512 OnAVX-512 OffAVX-512 On 51212345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160AVX-512 OnAVX-512 OffAVX-512 On 5120.09680.19360.29040.38720.484SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.430.430.43
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160AVX-512 OnAVX-512 OffAVX-512 On 51212345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096AVX-512 OnAVX-512 OffAVX-512 On 5120.04730.09460.14190.18920.2365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.210.210.21
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096AVX-512 OnAVX-512 OffAVX-512 On 51212345Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.2 / Avg: 0.21 / Max: 0.21

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 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX-512 OnAVX-512 OffAVX-512 On 5121.00552.0113.01654.0225.0275SE +/- 0.02867, N = 3SE +/- 0.01595, N = 3SE +/- 0.01309, N = 34.420722.828214.46906
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.39 / Avg: 4.42 / Max: 4.48Min: 2.8 / Avg: 2.83 / Max: 2.85Min: 4.45 / Avg: 4.47 / Max: 4.49

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX-512 OnAVX-512 OffAVX-512 On 5120.98331.96662.94993.93324.9165SE +/- 0.01025, N = 3SE +/- 0.00481, N = 3SE +/- 0.02096, N = 34.370422.723784.36772
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.35 / Avg: 4.37 / Max: 4.38Min: 2.72 / Avg: 2.72 / Max: 2.73Min: 4.34 / Avg: 4.37 / Max: 4.41

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX-512 OnAVX-512 OffAVX-512 On 5121.2072.4143.6214.8286.035SE +/- 0.01274, N = 3SE +/- 0.01158, N = 3SE +/- 0.02156, N = 35.364614.057455.35301
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 5.34 / Avg: 5.36 / Max: 5.38Min: 4.04 / Avg: 4.06 / Max: 4.08Min: 5.32 / Avg: 5.35 / Max: 5.39

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.01187, N = 3SE +/- 0.00177, N = 3SE +/- 0.03653, N = 34.958226.024464.95280
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.94 / Avg: 4.96 / Max: 4.98Min: 6.02 / Avg: 6.02 / Max: 6.03Min: 4.91 / Avg: 4.95 / Max: 5.02

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeAVX-512 OnAVX-512 OffAVX-512 On 5121.33122.66243.99365.32486.656SE +/- 0.04966, N = 3SE +/- 0.02016, N = 3SE +/- 0.01748, N = 34.980375.916364.95148
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.88 / Avg: 4.98 / Max: 5.04Min: 5.88 / Avg: 5.92 / Max: 5.94Min: 4.92 / Avg: 4.95 / Max: 4.98

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeAVX-512 OnAVX-512 OffAVX-512 On 5124080120160200SE +/- 0.21, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 3173.13164.96173.74
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 172.84 / Avg: 173.13 / Max: 173.55Min: 164.42 / Avg: 164.96 / Max: 165.68Min: 172.93 / Avg: 173.74 / Max: 174.82

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5125001000150020002500SE +/- 18.66, N = 3SE +/- 1.45, N = 3SE +/- 3.51, N = 3195821341951-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000Min: 1934 / Avg: 1958.33 / Max: 1995Min: 2132 / Avg: 2134.33 / Max: 2137Min: 1944 / Avg: 1951 / Max: 19551. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5127K14K21K28K35KSE +/- 32.95, N = 3SE +/- 5.46, N = 3SE +/- 206.81, N = 3310543411231180-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5126K12K18K24K30KMin: 30999 / Avg: 31054.33 / Max: 31113Min: 34101 / Avg: 34111.67 / Max: 34119Min: 30883 / Avg: 31180.33 / Max: 315781. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51215K30K45K60K75KSE +/- 55.47, N = 3SE +/- 50.78, N = 3SE +/- 140.32, N = 3657237214565447-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51213K26K39K52K65KMin: 65647 / Avg: 65723 / Max: 65831Min: 72063 / Avg: 72145.33 / Max: 72238Min: 65171 / Avg: 65447 / Max: 656291. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5122K4K6K8K10KSE +/- 26.87, N = 3SE +/- 2.40, N = 3SE +/- 11.53, N = 3774384507734-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51215003000450060007500Min: 7714 / Avg: 7743.33 / Max: 7797Min: 8447 / Avg: 8450.33 / Max: 8455Min: 7711 / Avg: 7734 / Max: 77471. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51230K60K90K120K150KSE +/- 834.11, N = 3SE +/- 39.26, N = 3SE +/- 430.68, N = 3127267139519127540-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51220K40K60K80K100KMin: 125898 / Avg: 127266.67 / Max: 128777Min: 139451 / Avg: 139519 / Max: 139587Min: 127039 / Avg: 127539.67 / Max: 1283971. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51260K120K180K240K300KSE +/- 259.35, N = 3SE +/- 100.66, N = 3SE +/- 784.12, N = 3251261275693250698-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51250K100K150K200K250KMin: 250920 / Avg: 251261 / Max: 251770Min: 275573 / Avg: 275693 / Max: 275893Min: 249144 / Avg: 250698.33 / Max: 2516561. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5125001000150020002500SE +/- 3.76, N = 3SE +/- 2.85, N = 3SE +/- 2.33, N = 3235825612364-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000Min: 2351 / Avg: 2357.67 / Max: 2364Min: 2558 / Avg: 2561.33 / Max: 2567Min: 2360 / Avg: 2363.67 / Max: 23681. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5129K18K27K36K45KSE +/- 89.45, N = 3SE +/- 14.77, N = 3SE +/- 9.61, N = 3376624094837620-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5127K14K21K28K35KMin: 37485 / Avg: 37662 / Max: 37773Min: 40930 / Avg: 40947.67 / Max: 40977Min: 37601 / Avg: 37619.67 / Max: 376331. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51220K40K60K80K100KSE +/- 263.45, N = 3SE +/- 31.80, N = 3SE +/- 171.11, N = 3787468585478809-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51215K30K45K60K75KMin: 78340 / Avg: 78746.33 / Max: 79240Min: 85797 / Avg: 85853.67 / Max: 85907Min: 78534 / Avg: 78809.33 / Max: 791231. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5122K4K6K8K10KSE +/- 6.67, N = 3SE +/- 5.70, N = 3SE +/- 5.51, N = 39373101489376-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 5122K4K6K8K10KMin: 9366 / Avg: 9372.67 / Max: 9386Min: 10137 / Avg: 10148.33 / Max: 10155Min: 9367 / Avg: 9376 / Max: 93861. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51240K80K120K160K200KSE +/- 313.74, N = 3SE +/- 189.77, N = 3SE +/- 494.14, N = 3152903166508153101-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51230K60K90K120K150KMin: 152522 / Avg: 152902.67 / Max: 153525Min: 166301 / Avg: 166508 / Max: 166887Min: 152120 / Avg: 153100.67 / Max: 1536971. (CXX) g++ options: -O3 -march=native -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51270K140K210K280K350KSE +/- 646.03, N = 3SE +/- 178.71, N = 3SE +/- 378.84, N = 3302582329527303966-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX-512 OnAVX-512 OffAVX-512 On 51260K120K180K240K300KMin: 301291 / Avg: 302582 / Max: 303273Min: 329215 / Avg: 329527 / Max: 329834Min: 303583 / Avg: 303966.33 / Max: 3047241. (CXX) g++ options: -O3 -march=native -ldl

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 714.3615.6114.28MIN: 14.18-mno-avx512f - MIN: 15.43MIN: 14.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 14.33 / Avg: 14.36 / Max: 14.38Min: 15.56 / Avg: 15.61 / Max: 15.65Min: 14.25 / Avg: 14.28 / Max: 14.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 712.1114.8412.02MIN: 11.95-mno-avx512f - MIN: 14.31MIN: 11.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 12.1 / Avg: 12.11 / Max: 12.14Min: 14.77 / Avg: 14.84 / Max: 14.9Min: 12.01 / Avg: 12.02 / Max: 12.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 51248121620SE +/- 0.00, N = 7SE +/- 0.00, N = 716.1616.16MIN: 16.07MIN: 16.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 51248121620Min: 16.15 / Avg: 16.16 / Max: 16.17Min: 16.16 / Avg: 16.16 / Max: 16.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

i9-11900K: AVX-512 Off: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.02566, N = 3SE +/- 0.04615, N = 3SE +/- 0.02594, N = 38.551938.397728.50891MIN: 4.79-mno-avx512f - MIN: 4.7MIN: 4.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.52 / Avg: 8.55 / Max: 8.6Min: 8.31 / Avg: 8.4 / Max: 8.47Min: 8.46 / Avg: 8.51 / Max: 8.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.40010.80021.20031.60042.0005SE +/- 0.003322, N = 3SE +/- 0.003095, N = 3SE +/- 0.003829, N = 30.8406601.7783200.846376MIN: 0.82-mno-avx512f - MIN: 1.73MIN: 0.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 1.77 / Avg: 1.78 / Max: 1.78Min: 0.84 / Avg: 0.85 / Max: 0.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 512510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 320.8120.26MIN: 20.45MIN: 19.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 512510152025Min: 20.8 / Avg: 20.81 / Max: 20.82Min: 20.26 / Avg: 20.26 / Max: 20.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

i9-11900K: AVX-512 Off: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5121.21352.4273.64054.8546.0675SE +/- 0.00401, N = 9SE +/- 0.00507, N = 9SE +/- 0.00516, N = 94.330635.393274.32564MIN: 4.21-mno-avx512f - MIN: 5.31MIN: 4.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.31 / Avg: 4.33 / Max: 4.35Min: 5.36 / Avg: 5.39 / Max: 5.41Min: 4.31 / Avg: 4.33 / Max: 4.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.52021.04041.56062.08082.601SE +/- 0.00510, N = 9SE +/- 0.00997, N = 9SE +/- 0.00281, N = 91.470492.311831.46948MIN: 1.35-mno-avx512f - MIN: 2.22MIN: 1.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.44 / Avg: 1.47 / Max: 1.49Min: 2.27 / Avg: 2.31 / Max: 2.37Min: 1.46 / Avg: 1.47 / Max: 1.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 51248121620SE +/- 0.00, N = 9SE +/- 0.00, N = 917.3117.27MIN: 16.91MIN: 16.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 51248121620Min: 17.3 / Avg: 17.31 / Max: 17.33Min: 17.25 / Avg: 17.27 / Max: 17.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

i9-11900K: AVX-512 Off: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.9081.8162.7243.6324.54SE +/- 0.00337, N = 4SE +/- 0.00517, N = 4SE +/- 0.00488, N = 44.035543.226804.03294MIN: 3.9-mno-avx512f - MIN: 3.09MIN: 3.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.03 / Avg: 4.04 / Max: 4.04Min: 3.21 / Avg: 3.23 / Max: 3.24Min: 4.02 / Avg: 4.03 / Max: 4.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.27990.55980.83971.11961.3995SE +/- 0.001991, N = 4SE +/- 0.000314, N = 4SE +/- 0.001828, N = 40.7207021.2439600.715925MIN: 0.67-mno-avx512f - MIN: 1.22MIN: 0.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 0.72 / Avg: 0.72 / Max: 0.73Min: 1.24 / Avg: 1.24 / Max: 1.24Min: 0.71 / Avg: 0.72 / Max: 0.721. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 512246810SE +/- 0.00165, N = 4SE +/- 0.00438, N = 48.552748.55374MIN: 8.4MIN: 8.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 5123691215Min: 8.55 / Avg: 8.55 / Max: 8.56Min: 8.54 / Avg: 8.55 / Max: 8.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

i9-11900K: AVX-512 Off: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.00598, N = 5SE +/- 0.00748, N = 5SE +/- 0.01026, N = 510.6347011.677109.95113MIN: 10.54-mno-avx512f - MIN: 11.41MIN: 9.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 10.61 / Avg: 10.63 / Max: 10.65Min: 11.65 / Avg: 11.68 / Max: 11.69Min: 9.94 / Avg: 9.95 / Max: 9.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.67811.35622.03432.71243.3905SE +/- 0.00593, N = 5SE +/- 0.00482, N = 5SE +/- 0.01183, N = 53.013772.186702.75246MIN: 2.91-mno-avx512f - MIN: 2.11MIN: 2.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 3 / Avg: 3.01 / Max: 3.03Min: 2.18 / Avg: 2.19 / Max: 2.2Min: 2.73 / Avg: 2.75 / Max: 2.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 5121.08432.16863.25294.33725.4215SE +/- 0.03916, N = 9SE +/- 0.02954, N = 154.819044.64814MIN: 4.15MIN: 4.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 512246810Min: 4.59 / Avg: 4.82 / Max: 4.96Min: 4.39 / Avg: 4.65 / Max: 4.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

i9-11900K: AVX-512 Off: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.82661.65322.47983.30644.133SE +/- 0.00624, N = 4SE +/- 0.03921, N = 4SE +/- 0.00586, N = 43.267733.673603.21742MIN: 3.18-mno-avx512f - MIN: 3.39MIN: 3.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 3.25 / Avg: 3.27 / Max: 3.27Min: 3.61 / Avg: 3.67 / Max: 3.78Min: 3.2 / Avg: 3.22 / Max: 3.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.31570.63140.94711.26281.5785SE +/- 0.00334, N = 4SE +/- 0.00373, N = 4SE +/- 0.00378, N = 41.321341.403301.30906MIN: 1.26-mno-avx512f - MIN: 1.31MIN: 1.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.31 / Avg: 1.32 / Max: 1.33Min: 1.4 / Avg: 1.4 / Max: 1.41Min: 1.3 / Avg: 1.31 / Max: 1.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 5120.8591.7182.5773.4364.295SE +/- 0.04459, N = 4SE +/- 0.03397, N = 43.817933.66945MIN: 3.28MIN: 3.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 On 512246810Min: 3.69 / Avg: 3.82 / Max: 3.89Min: 3.59 / Avg: 3.67 / Max: 3.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

i9-11900K: AVX-512 Off: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5127001400210028003500SE +/- 2.36, N = 3SE +/- 1.15, N = 3SE +/- 2.98, N = 33079.963271.063062.36MIN: 3061.76-mno-avx512f - MIN: 3261.78MIN: 3040.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5126001200180024003000Min: 3075.75 / Avg: 3079.96 / Max: 3083.91Min: 3268.84 / Avg: 3271.06 / Max: 3272.71Min: 3056.47 / Avg: 3062.36 / Max: 3066.021. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5127001400210028003500SE +/- 3.05, N = 3SE +/- 1.82, N = 3SE +/- 89.39, N = 153088.893270.553073.17MIN: 3071.02-mno-avx512f - MIN: 3260.73MIN: 2922.721. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5126001200180024003000Min: 3083.31 / Avg: 3088.89 / Max: 3093.83Min: 3268.67 / Avg: 3270.55 / Max: 3274.19Min: 2934.9 / Avg: 3073.17 / Max: 4315.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5127001400210028003500SE +/- 4.17, N = 3SE +/- 2.45, N = 3SE +/- 38.98, N = 33093.583271.272986.72MIN: 3075.2-mno-avx512f - MIN: 3259.85MIN: 2932.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 5126001200180024003000Min: 3088.75 / Avg: 3093.58 / Max: 3101.89Min: 3266.71 / Avg: 3271.27 / Max: 3275.12Min: 2943.91 / Avg: 2986.72 / Max: 3064.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000SE +/- 0.41, N = 3SE +/- 3.47, N = 3SE +/- 20.46, N = 41814.652000.121739.49MIN: 1805.32-mno-avx512f - MIN: 1987.76MIN: 1670.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500Min: 1814.23 / Avg: 1814.65 / Max: 1815.48Min: 1995.29 / Avg: 2000.12 / Max: 2006.85Min: 1678.71 / Avg: 1739.49 / Max: 1764.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000SE +/- 7.10, N = 3SE +/- 1.98, N = 3SE +/- 14.49, N = 31817.592003.541738.00MIN: 1801.35-mno-avx512f - MIN: 1993.54MIN: 1697.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500Min: 1808.28 / Avg: 1817.59 / Max: 1831.53Min: 1999.63 / Avg: 2003.54 / Max: 2005.97Min: 1709.2 / Avg: 1738 / Max: 1755.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000SE +/- 2.62, N = 3SE +/- 0.87, N = 3SE +/- 18.65, N = 51814.032006.021715.75MIN: 1799.95-mno-avx512f - MIN: 1997.88MIN: 1674.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500Min: 1808.79 / Avg: 1814.03 / Max: 1816.72Min: 2004.54 / Avg: 2006.02 / Max: 2007.56Min: 1684.17 / Avg: 1715.75 / Max: 1779.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, OnecoinAVX-512 OnAVX-512 OffAVX-512 On 51250K100K150K200K250KSE +/- 1895.81, N = 3SE +/- 627.84, N = 3SE +/- 1461.35, N = 3231700106137230687-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, OnecoinAVX-512 OnAVX-512 OffAVX-512 On 51240K80K120K160K200KMin: 227960 / Avg: 231700 / Max: 234110Min: 104890 / Avg: 106136.67 / Max: 106890Min: 228060 / Avg: 230686.67 / Max: 2331101. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, PyriteAVX-512 OnAVX-512 OffAVX-512 On 51240K80K120K160K200KSE +/- 280.42, N = 3SE +/- 42.56, N = 3SE +/- 346.55, N = 316750064663164790-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, PyriteAVX-512 OnAVX-512 OffAVX-512 On 51230K60K90K120K150KMin: 167030 / Avg: 167500 / Max: 168000Min: 64580 / Avg: 64663.33 / Max: 64720Min: 164180 / Avg: 164790 / Max: 1653801. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-GroestlAVX-512 OnAVX-512 OffAVX-512 On 5129K18K27K36K45KSE +/- 58.12, N = 3SE +/- 17.32, N = 3SE +/- 164.55, N = 3405731615040663-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-GroestlAVX-512 OnAVX-512 OffAVX-512 On 5127K14K21K28K35KMin: 40480 / Avg: 40573.33 / Max: 40680Min: 16120 / Avg: 16150 / Max: 16180Min: 40380 / Avg: 40663.33 / Max: 409501. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: MagiAVX-512 OnAVX-512 OffAVX-512 On 512100200300400500SE +/- 0.67, N = 3SE +/- 0.84, N = 3SE +/- 3.36, N = 3452.82453.39449.42-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: MagiAVX-512 OnAVX-512 OffAVX-512 On 51280160240320400Min: 451.64 / Avg: 452.82 / Max: 453.96Min: 452.2 / Avg: 453.39 / Max: 455.01Min: 442.71 / Avg: 449.42 / Max: 453.131. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 SAVX-512 OnAVX-512 OffAVX-512 On 512200K400K600K800K1000KSE +/- 9836.24, N = 3SE +/- 382.81, N = 3SE +/- 7851.09, N = 15862110393213895513-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 SAVX-512 OnAVX-512 OffAVX-512 On 512160K320K480K640K800KMin: 850670 / Avg: 862110 / Max: 881690Min: 392590 / Avg: 393213.33 / Max: 393910Min: 871390 / Avg: 895512.67 / Max: 9990201. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: x25xAVX-512 OnAVX-512 OffAVX-512 On 51280160240320400SE +/- 1.89, N = 3SE +/- 0.48, N = 3SE +/- 7.53, N = 12387.72359.01379.94-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: x25xAVX-512 OnAVX-512 OffAVX-512 On 51270140210280350Min: 385.59 / Avg: 387.72 / Max: 391.49Min: 358.13 / Avg: 359.01 / Max: 359.79Min: 298.93 / Avg: 379.94 / Max: 392.931. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: GarlicoinAVX-512 OnAVX-512 OffAVX-512 On 5129001800270036004500SE +/- 25.90, N = 3SE +/- 6.13, N = 3SE +/- 10.30, N = 34384.382381.454392.29-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: GarlicoinAVX-512 OnAVX-512 OffAVX-512 On 5128001600240032004000Min: 4332.81 / Avg: 4384.38 / Max: 4414.29Min: 2370.02 / Avg: 2381.45 / Max: 2391Min: 4375.47 / Avg: 4392.29 / Max: 4411.011. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: RingcoinAVX-512 OnAVX-512 OffAVX-512 On 5125001000150020002500SE +/- 40.17, N = 13SE +/- 5.83, N = 3SE +/- 16.96, N = 152152.942130.492190.91-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: RingcoinAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000Min: 1679.61 / Avg: 2152.94 / Max: 2229.9Min: 2120.07 / Avg: 2130.49 / Max: 2140.25Min: 2142.59 / Avg: 2190.91 / Max: 2364.181. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: DeepcoinAVX-512 OnAVX-512 OffAVX-512 On 5122K4K6K8K10KSE +/- 226.60, N = 12SE +/- 3.11, N = 3SE +/- 25.17, N = 311148.969966.1011270.00-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: DeepcoinAVX-512 OnAVX-512 OffAVX-512 On 5122K4K6K8K10KMin: 8717.49 / Avg: 11148.96 / Max: 11780Min: 9960.4 / Avg: 9966.1 / Max: 9971.09Min: 11240 / Avg: 11270 / Max: 113201. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: SkeincoinAVX-512 OnAVX-512 OffAVX-512 On 51220K40K60K80K100KSE +/- 394.25, N = 3SE +/- 85.44, N = 3SE +/- 146.55, N = 311173070720112403-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: SkeincoinAVX-512 OnAVX-512 OffAVX-512 On 51220K40K60K80K100KMin: 111240 / Avg: 111730 / Max: 112510Min: 70620 / Avg: 70720 / Max: 70890Min: 112120 / Avg: 112403.33 / Max: 1126101. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: LBC, LBRY CreditsAVX-512 OnAVX-512 OffAVX-512 On 51217K34K51K68K85KSE +/- 84.13, N = 3SE +/- 20.00, N = 3SE +/- 116.81, N = 3770832727076393-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: LBC, LBRY CreditsAVX-512 OnAVX-512 OffAVX-512 On 51213K26K39K52K65KMin: 76920 / Avg: 77083.33 / Max: 77200Min: 27230 / Avg: 27270 / Max: 27290Min: 76160 / Avg: 76393.33 / Max: 765201. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MAVX-512 OnAVX-512 OffAVX-512 On 5125001000150020002500SE +/- 3.33, N = 3SE +/- 6.72, N = 3SE +/- 6.87, N = 32239.52256.12252.6-mno-avx512f1. (CXX) g++ options: -O3 -march=native -fexceptions -fno-rtti -maes -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000Min: 2233.1 / Avg: 2239.5 / Max: 2244.3Min: 2245 / Avg: 2256.07 / Max: 2268.2Min: 2238.9 / Avg: 2252.63 / Max: 2259.81. (CXX) g++ options: -O3 -march=native -fexceptions -fno-rtti -maes -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MAVX-512 OnAVX-512 OffAVX-512 On 5129001800270036004500SE +/- 44.80, N = 3SE +/- 5.83, N = 3SE +/- 21.46, N = 34015.04076.44075.5-mno-avx512f1. (CXX) g++ options: -O3 -march=native -fexceptions -fno-rtti -maes -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MAVX-512 OnAVX-512 OffAVX-512 On 5127001400210028003500Min: 3948.6 / Avg: 4015 / Max: 4100.3Min: 4065.8 / Avg: 4076.37 / Max: 4085.9Min: 4034 / Avg: 4075.47 / Max: 4105.81. (CXX) g++ options: -O3 -march=native -fexceptions -fno-rtti -maes -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.077, N = 15SE +/- 0.056, N = 3SE +/- 0.087, N = 157.4687.1397.527MIN: 6.73 / MAX: 13.9-mno-avx512f - MIN: 6.92 / MAX: 7.99MIN: 6.72 / MAX: 17.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 6.97 / Avg: 7.47 / Max: 8.22Min: 7.03 / Avg: 7.14 / Max: 7.21Min: 7.12 / Avg: 7.53 / Max: 8.271. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3AVX-512 OnAVX-512 OffAVX-512 On 5120.21670.43340.65010.86681.0835SE +/- 0.005, N = 15SE +/- 0.003, N = 3SE +/- 0.012, N = 150.9380.9420.963MIN: 0.89 / MAX: 3.62-mno-avx512f - MIN: 0.92 / MAX: 1.64MIN: 0.89 / MAX: 10.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 0.91 / Avg: 0.94 / Max: 0.97Min: 0.94 / Avg: 0.94 / Max: 0.95Min: 0.91 / Avg: 0.96 / Max: 1.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1AVX-512 OnAVX-512 OffAVX-512 On 5120.45520.91041.36561.82082.276SE +/- 0.013, N = 15SE +/- 0.014, N = 3SE +/- 0.014, N = 151.6702.0231.675MIN: 1.54 / MAX: 11.33-mno-avx512f - MIN: 1.97 / MAX: 2.72MIN: 1.55 / MAX: 7.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.61 / Avg: 1.67 / Max: 1.75Min: 2 / Avg: 2.02 / Max: 2.05Min: 1.58 / Avg: 1.68 / Max: 1.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50AVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.05, N = 15SE +/- 0.08, N = 3SE +/- 0.04, N = 1510.3018.0410.37MIN: 9.74 / MAX: 33.88-mno-avx512f - MIN: 17.67 / MAX: 24.46MIN: 10.05 / MAX: 22.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 9.92 / Avg: 10.3 / Max: 10.6Min: 17.9 / Avg: 18.04 / Max: 18.18Min: 10.23 / Avg: 10.37 / Max: 10.611. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0AVX-512 OnAVX-512 OffAVX-512 On 5120.83121.66242.49363.32484.156SE +/- 0.020, N = 15SE +/- 0.032, N = 3SE +/- 0.022, N = 153.0733.6943.114MIN: 2.89 / MAX: 8.65-mno-avx512f - MIN: 3.57 / MAX: 4.37MIN: 2.9 / MAX: 9.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 2.99 / Avg: 3.07 / Max: 3.26Min: 3.63 / Avg: 3.69 / Max: 3.74Min: 3 / Avg: 3.11 / Max: 3.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224AVX-512 OnAVX-512 OffAVX-512 On 5120.47950.9591.43851.9182.3975SE +/- 0.014, N = 15SE +/- 0.019, N = 3SE +/- 0.014, N = 152.1311.9342.125MIN: 2.03 / MAX: 8.46-mno-avx512f - MIN: 1.84 / MAX: 11.59MIN: 2.03 / MAX: 8.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 2.08 / Avg: 2.13 / Max: 2.23Min: 1.9 / Avg: 1.93 / Max: 1.96Min: 2.07 / Avg: 2.13 / Max: 2.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0AVX-512 OnAVX-512 OffAVX-512 On 5120.44750.8951.34251.792.2375SE +/- 0.005, N = 15SE +/- 0.007, N = 3SE +/- 0.007, N = 151.9721.7981.989MIN: 1.8 / MAX: 8.03-mno-avx512f - MIN: 1.74 / MAX: 2.69MIN: 1.9 / MAX: 8.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.95 / Avg: 1.97 / Max: 2.02Min: 1.79 / Avg: 1.8 / Max: 1.81Min: 1.95 / Avg: 1.99 / Max: 2.041. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3AVX-512 OnAVX-512 OffAVX-512 On 512612182430SE +/- 0.26, N = 15SE +/- 0.02, N = 3SE +/- 0.27, N = 1519.5823.4219.40MIN: 17.25 / MAX: 32.64-mno-avx512f - MIN: 22.95 / MAX: 30.84MIN: 17.18 / MAX: 49.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3AVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 18.11 / Avg: 19.58 / Max: 20.98Min: 23.39 / Avg: 23.42 / Max: 23.46Min: 17.97 / Avg: 19.4 / Max: 20.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 20220729Target: CPU - Model: mobilenetAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 312.2811.4312.28MIN: 11.79 / MAX: 13.67-mno-avx512f - MIN: 11.21 / MAX: 16.87MIN: 11.87 / MAX: 18.861. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 11.98 / Avg: 12.28 / Max: 12.46Min: 11.39 / Avg: 11.43 / Max: 11.47Min: 12.03 / Avg: 12.28 / Max: 12.441. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2AVX-512 OnAVX-512 OffAVX-512 On 5120.84831.69662.54493.39324.2415SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 33.733.343.77MIN: 3.56 / MAX: 5.05-mno-avx512f - MIN: 3.16 / MAX: 5.05MIN: 3.53 / MAX: 4.41. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 3.72 / Avg: 3.73 / Max: 3.74Min: 3.32 / Avg: 3.34 / Max: 3.36Min: 3.68 / Avg: 3.77 / Max: 3.871. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3AVX-512 OnAVX-512 OffAVX-512 On 5120.60981.21961.82942.43923.049SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 32.682.492.71MIN: 2.56 / MAX: 3.63-mno-avx512f - MIN: 2.4 / MAX: 3.36MIN: 2.55 / MAX: 3.51. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 2.64 / Avg: 2.68 / Max: 2.73Min: 2.47 / Avg: 2.49 / Max: 2.5Min: 2.62 / Avg: 2.71 / Max: 2.791. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2AVX-512 OnAVX-512 OffAVX-512 On 5120.52431.04861.57292.09722.6215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.332.332.33MIN: 2.26 / MAX: 3.21-mno-avx512f - MIN: 2.27 / MAX: 3.18MIN: 2.27 / MAX: 2.811. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 2.32 / Avg: 2.33 / Max: 2.35Min: 2.32 / Avg: 2.33 / Max: 2.34Min: 2.32 / Avg: 2.33 / Max: 2.341. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetAVX-512 OnAVX-512 OffAVX-512 On 5120.58951.1791.76852.3582.9475SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 32.622.372.58MIN: 2.48 / MAX: 3.81-mno-avx512f - MIN: 2.28 / MAX: 3.27MIN: 2.48 / MAX: 3.141. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 2.57 / Avg: 2.62 / Max: 2.67Min: 2.33 / Avg: 2.37 / Max: 2.43Min: 2.55 / Avg: 2.58 / Max: 2.631. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0AVX-512 OnAVX-512 OffAVX-512 On 5121.09352.1873.28054.3745.4675SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 34.864.354.79MIN: 4.6 / MAX: 6.13-mno-avx512f - MIN: 4.2 / MAX: 5.22MIN: 4.61 / MAX: 9.91. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0AVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 4.73 / Avg: 4.86 / Max: 4.93Min: 4.3 / Avg: 4.35 / Max: 4.45Min: 4.71 / Avg: 4.79 / Max: 4.891. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceAVX-512 OnAVX-512 OffAVX-512 On 5120.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.800.760.80MIN: 0.77 / MAX: 1.52-mno-avx512f - MIN: 0.73 / MAX: 1.52MIN: 0.77 / MAX: 1.281. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 0.79 / Avg: 0.8 / Max: 0.8Min: 0.75 / Avg: 0.76 / Max: 0.76Min: 0.79 / Avg: 0.8 / Max: 0.811. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 310.169.559.96MIN: 9.92 / MAX: 11.36-mno-avx512f - MIN: 9.33 / MAX: 10.86MIN: 9.52 / MAX: 10.981. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 10.15 / Avg: 10.16 / Max: 10.16Min: 9.51 / Avg: 9.55 / Max: 9.61Min: 9.7 / Avg: 9.96 / Max: 10.11. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16AVX-512 OnAVX-512 OffAVX-512 On 5121020304050SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 344.7445.6844.59MIN: 44.1 / MAX: 49.06-mno-avx512f - MIN: 44.98 / MAX: 50.56MIN: 43.87 / MAX: 50.431. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16AVX-512 OnAVX-512 OffAVX-512 On 512918273645Min: 44.58 / Avg: 44.74 / Max: 44.99Min: 45.42 / Avg: 45.68 / Max: 45.85Min: 44.14 / Avg: 44.59 / Max: 44.871. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18AVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 38.698.248.64MIN: 8.51 / MAX: 14.15-mno-avx512f - MIN: 8.06 / MAX: 9.19MIN: 8.45 / MAX: 9.391. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18AVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.67 / Avg: 8.69 / Max: 8.72Min: 8.24 / Avg: 8.24 / Max: 8.24Min: 8.6 / Avg: 8.64 / Max: 8.671. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.19, N = 36.986.336.69MIN: 6.82 / MAX: 7.88-mno-avx512f - MIN: 6.2 / MAX: 7.75MIN: 6.2 / MAX: 7.351. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 6.95 / Avg: 6.98 / Max: 7.02Min: 6.3 / Avg: 6.33 / Max: 6.35Min: 6.31 / Avg: 6.69 / Max: 6.881. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50AVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.42, N = 3SE +/- 0.02, N = 3SE +/- 0.42, N = 315.9915.4016.24MIN: 15.25 / MAX: 18.48-mno-avx512f - MIN: 15.07 / MAX: 24.51MIN: 15.19 / MAX: 17.461. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50AVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 15.55 / Avg: 15.99 / Max: 16.84Min: 15.37 / Avg: 15.4 / Max: 15.42Min: 15.41 / Avg: 16.24 / Max: 16.721. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyAVX-512 OnAVX-512 OffAVX-512 On 512510152025SE +/- 0.41, N = 3SE +/- 0.06, N = 3SE +/- 0.44, N = 320.9918.8022.01MIN: 20.36 / MAX: 37.15-mno-avx512f - MIN: 18.51 / MAX: 19.88MIN: 21.29 / MAX: 26.711. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyAVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 20.57 / Avg: 20.99 / Max: 21.81Min: 18.72 / Avg: 18.8 / Max: 18.91Min: 21.52 / Avg: 22.01 / Max: 22.881. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 317.1913.8917.34MIN: 16.54 / MAX: 25.09-mno-avx512f - MIN: 13.58 / MAX: 15.32MIN: 17.03 / MAX: 18.981. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 16.82 / Avg: 17.19 / Max: 17.37Min: 13.82 / Avg: 13.89 / Max: 13.96Min: 17.25 / Avg: 17.34 / Max: 17.421. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mAVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 37.056.707.10MIN: 6.87 / MAX: 8.31-mno-avx512f - MIN: 6.54 / MAX: 7.93MIN: 6.91 / MAX: 11.121. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mAVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 7.02 / Avg: 7.05 / Max: 7.1Min: 6.67 / Avg: 6.7 / Max: 6.74Min: 7.05 / Avg: 7.1 / Max: 7.141. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerAVX-512 OnAVX-512 OffAVX-512 On 51220406080100SE +/- 0.11, N = 3SE +/- 0.39, N = 3SE +/- 0.12, N = 387.29110.3870.39MIN: 86.63 / MAX: 92.92-mno-avx512f - MIN: 109.43 / MAX: 116.1MIN: 69.62 / MAX: 71.721. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 87.14 / Avg: 87.29 / Max: 87.5Min: 109.75 / Avg: 110.38 / Max: 111.1Min: 70.24 / Avg: 70.39 / Max: 70.631. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetAVX-512 OnAVX-512 OffAVX-512 On 5120.67051.3412.01152.6823.3525SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 32.982.852.98MIN: 2.81 / MAX: 3.62-mno-avx512f - MIN: 2.78 / MAX: 3.41MIN: 2.84 / MAX: 3.61. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 2.86 / Avg: 2.98 / Max: 3.14Min: 2.83 / Avg: 2.85 / Max: 2.88Min: 2.9 / Avg: 2.98 / Max: 3.131. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetAVX-512 OnAVX-512 OffAVX-512 On 5126001200180024003000SE +/- 2.72, N = 3SE +/- 0.35, N = 3SE +/- 1.39, N = 32704.932703.562695.65MIN: 2642.6 / MAX: 2789.25-mno-avx512f - MIN: 2643.22 / MAX: 2776.22MIN: 2633.85 / MAX: 2768.471. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetAVX-512 OnAVX-512 OffAVX-512 On 5125001000150020002500Min: 2701.18 / Avg: 2704.93 / Max: 2710.21Min: 2703.02 / Avg: 2703.56 / Max: 2704.22Min: 2693.02 / Avg: 2695.65 / Max: 2697.761. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2AVX-512 OnAVX-512 OffAVX-512 On 51250100150200250SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.06, N = 3245.95241.31240.41MIN: 242.61 / MAX: 266.39-mno-avx512f - MIN: 238.09 / MAX: 252.58MIN: 237.96 / MAX: 252.771. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2AVX-512 OnAVX-512 OffAVX-512 On 5124080120160200Min: 245.63 / Avg: 245.95 / Max: 246.45Min: 240.82 / Avg: 241.31 / Max: 241.8Min: 240.3 / Avg: 240.41 / Max: 240.511. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1AVX-512 OnAVX-512 OffAVX-512 On 51250100150200250SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.09, N = 4230.82228.68228.42MIN: 229.65 / MAX: 231.83-mno-avx512f - MIN: 227.32 / MAX: 231.38MIN: 227.09 / MAX: 230.261. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1AVX-512 OnAVX-512 OffAVX-512 On 5124080120160200Min: 230.69 / Avg: 230.82 / Max: 231.02Min: 228.58 / Avg: 228.68 / Max: 228.9Min: 228.26 / Avg: 228.42 / Max: 228.681. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2AVX-512 OnAVX-512 OffAVX-512 On 5121122334455SE +/- 0.07, N = 9SE +/- 0.17, N = 9SE +/- 0.11, N = 947.1946.3645.68MIN: 46.52 / MAX: 48.8-mno-avx512f - MIN: 45.49 / MAX: 48.72MIN: 45.02 / MAX: 47.451. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2AVX-512 OnAVX-512 OffAVX-512 On 5121020304050Min: 46.97 / Avg: 47.19 / Max: 47.59Min: 45.84 / Avg: 46.36 / Max: 47.48Min: 45.31 / Avg: 45.68 / Max: 46.071. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.765.697.76
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 7.74 / Avg: 7.76 / Max: 7.77Min: 5.69 / Avg: 5.69 / Max: 5.69Min: 7.75 / Avg: 7.76 / Max: 7.76

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 320.4612.2920.55
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 20.44 / Avg: 20.46 / Max: 20.47Min: 12.28 / Avg: 12.29 / Max: 12.32Min: 20.53 / Avg: 20.55 / Max: 20.56

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 51220406080100SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 380.7567.8082.10
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 5121632486480Min: 80.64 / Avg: 80.75 / Max: 80.81Min: 67.76 / Avg: 67.8 / Max: 67.85Min: 81.87 / Avg: 82.1 / Max: 82.24

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121428425670SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 363.3436.2263.83
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121224364860Min: 63.29 / Avg: 63.34 / Max: 63.38Min: 36.18 / Avg: 36.22 / Max: 36.25Min: 63.56 / Avg: 63.83 / Max: 64.1

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.325.958.29
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.32 / Avg: 8.32 / Max: 8.33Min: 5.95 / Avg: 5.95 / Max: 5.96Min: 8.28 / Avg: 8.29 / Max: 8.3

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 321.2412.3221.29
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 21.21 / Avg: 21.24 / Max: 21.28Min: 12.31 / Avg: 12.32 / Max: 12.33Min: 21.28 / Avg: 21.29 / Max: 21.29

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.26, N = 3112.1087.79113.25
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 111.78 / Avg: 112.1 / Max: 112.36Min: 87.71 / Avg: 87.79 / Max: 87.87Min: 112.83 / Avg: 113.25 / Max: 113.73

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121428425670SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 364.2236.4964.42
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121326395265Min: 64.21 / Avg: 64.22 / Max: 64.24Min: 36.43 / Avg: 36.49 / Max: 36.56Min: 64.34 / Avg: 64.42 / Max: 64.54

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 512246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.736.118.69
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 8.71 / Avg: 8.73 / Max: 8.74Min: 6.11 / Avg: 6.11 / Max: 6.12Min: 8.67 / Avg: 8.69 / Max: 8.7

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.8612.3721.88
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 21.84 / Avg: 21.86 / Max: 21.88Min: 12.36 / Avg: 12.37 / Max: 12.38Min: 21.87 / Avg: 21.88 / Max: 21.89

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3136.92103.31137.75
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 136.78 / Avg: 136.92 / Max: 137.13Min: 103.17 / Avg: 103.31 / Max: 103.42Min: 137.5 / Avg: 137.75 / Max: 137.9

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121530456075SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 365.0236.9465.15
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121326395265Min: 64.94 / Avg: 65.02 / Max: 65.11Min: 36.92 / Avg: 36.94 / Max: 36.96Min: 65.08 / Avg: 65.15 / Max: 65.29

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 39.426.229.42
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: VGG-16AVX-512 OnAVX-512 OffAVX-512 On 5123691215Min: 9.41 / Avg: 9.42 / Max: 9.43Min: 6.21 / Avg: 6.22 / Max: 6.22Min: 9.41 / Avg: 9.42 / Max: 9.43

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 322.2012.4822.13
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-50AVX-512 OnAVX-512 OffAVX-512 On 512510152025Min: 22.19 / Avg: 22.2 / Max: 22.21Min: 12.48 / Avg: 12.48 / Max: 12.49Min: 22.12 / Avg: 22.13 / Max: 22.13

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 5124080120160200SE +/- 0.42, N = 3SE +/- 0.05, N = 3SE +/- 0.22, N = 3163.87117.43163.09
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 163.22 / Avg: 163.87 / Max: 164.65Min: 117.38 / Avg: 117.43 / Max: 117.54Min: 162.66 / Avg: 163.09 / Max: 163.34

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121530456075SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 366.6337.3766.49
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121326395265Min: 66.42 / Avg: 66.63 / Max: 66.81Min: 37.35 / Avg: 37.37 / Max: 37.4Min: 66.41 / Avg: 66.49 / Max: 66.62

Device: CPU - Batch Size: 512 - Model: VGG-16

i9-11900K: AVX-512 On: The test quit with a non-zero exit status.

i9-11900K: AVX-512 Off: The test quit with a non-zero exit status. E: Fatal Python error: Aborted

i9-11900K: AVX-512 On 512: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

Device: CPU - Batch Size: 512 - Model: ResNet-50

i9-11900K: AVX-512 On: The test quit with a non-zero exit status.

i9-11900K: AVX-512 Off: The test quit with a non-zero exit status.

i9-11900K: AVX-512 On 512: The test quit with a non-zero exit status.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 5124080120160200SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3173.67107.72172.66
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNetAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 173.47 / Avg: 173.67 / Max: 173.93Min: 107.55 / Avg: 107.72 / Max: 107.86Min: 172.24 / Avg: 172.66 / Max: 172.93

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121530456075SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 367.6833.9267.67
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNetAVX-512 OnAVX-512 OffAVX-512 On 5121326395265Min: 67.65 / Avg: 67.68 / Max: 67.71Min: 33.85 / Avg: 33.92 / Max: 34.05Min: 67.6 / Avg: 67.67 / Max: 67.71

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.66831.33662.00492.67323.3415SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.972.602.95-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 2.96 / Avg: 2.97 / Max: 2.98Min: 2.58 / Avg: 2.6 / Max: 2.61Min: 2.95 / Avg: 2.95 / Max: 2.961. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500SE +/- 3.79, N = 3SE +/- 4.24, N = 3SE +/- 1.26, N = 31346.991525.181352.08-ldl - MIN: 1224.1 / MAX: 1502.9-mno-avx512f - MIN: 825.15 / MAX: 2479.54-ldl - MIN: 1184.99 / MAX: 1541.851. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500Min: 1339.67 / Avg: 1346.99 / Max: 1352.34Min: 1520.21 / Avg: 1525.18 / Max: 1533.61Min: 1350.58 / Avg: 1352.08 / Max: 1354.591. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.234.8812.17-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 12.21 / Avg: 12.23 / Max: 12.25Min: 4.86 / Avg: 4.88 / Max: 4.91Min: 12.15 / Avg: 12.17 / Max: 12.21. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000SE +/- 0.34, N = 3SE +/- 3.19, N = 3SE +/- 0.43, N = 3326.76817.17328.08-ldl - MIN: 183.35 / MAX: 422.57-mno-avx512f - MIN: 559.45 / MAX: 1507.03-ldl - MIN: 193.4 / MAX: 422.421. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512140280420560700Min: 326.09 / Avg: 326.76 / Max: 327.18Min: 810.9 / Avg: 817.17 / Max: 821.33Min: 327.33 / Avg: 328.08 / Max: 328.831. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5122K4K6K8K10KSE +/- 94.72, N = 3SE +/- 34.03, N = 3SE +/- 54.72, N = 39379.277956.789460.45-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51216003200480064008000Min: 9189.83 / Avg: 9379.27 / Max: 9474.39Min: 7911 / Avg: 7956.78 / Max: 8023.29Min: 9379.38 / Avg: 9460.45 / Max: 9564.641. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.2250.450.6750.91.125SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.851.000.84-ldl - MIN: 0.45 / MAX: 10.27-mno-avx512f - MIN: 0.48 / MAX: 89.55-ldl - MIN: 0.48 / MAX: 9.991. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 0.84 / Avg: 0.85 / Max: 0.86Min: 0.99 / Avg: 1 / Max: 1Min: 0.83 / Avg: 0.84 / Max: 0.841. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5125K10K15K20K25KSE +/- 411.52, N = 15SE +/- 47.04, N = 3SE +/- 387.31, N = 1523074.8214973.8822962.10-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5124K8K12K16K20KMin: 19833.99 / Avg: 23074.82 / Max: 25477.04Min: 14923.91 / Avg: 14973.88 / Max: 15067.91Min: 20238.11 / Avg: 22962.1 / Max: 25365.441. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.11930.23860.35790.47720.5965SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.01, N = 150.340.530.35-ldl - MIN: 0.18 / MAX: 82.47-mno-avx512f - MIN: 0.28 / MAX: 83.77-ldl - MIN: 0.18 / MAX: 11.281. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 0.31 / Avg: 0.34 / Max: 0.4Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.31 / Avg: 0.35 / Max: 0.391. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.40050.8011.20151.6022.0025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.781.541.78-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.77 / Avg: 1.78 / Max: 1.78Min: 1.53 / Avg: 1.54 / Max: 1.55Min: 1.77 / Avg: 1.78 / Max: 1.781. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5126001200180024003000SE +/- 0.33, N = 3SE +/- 7.35, N = 3SE +/- 7.01, N = 32235.542563.452227.69-ldl - MIN: 1874.94 / MAX: 2477.63-mno-avx512f - MIN: 1711.34 / MAX: 3871.27-ldl - MIN: 1807.91 / MAX: 2513.611. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000Min: 2235.17 / Avg: 2235.54 / Max: 2236.21Min: 2548.75 / Avg: 2563.45 / Max: 2571.28Min: 2218.16 / Avg: 2227.69 / Max: 2241.371. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5120.39830.79661.19491.59321.9915SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.761.541.77-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.74 / Avg: 1.76 / Max: 1.77Min: 1.53 / Avg: 1.54 / Max: 1.55Min: 1.76 / Avg: 1.77 / Max: 1.771. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5126001200180024003000SE +/- 9.13, N = 3SE +/- 9.17, N = 3SE +/- 8.02, N = 32250.022563.872244.25-ldl - MIN: 1294.64 / MAX: 2438.65-mno-avx512f - MIN: 1540.87 / MAX: 3813.98-ldl - MIN: 1760.66 / MAX: 2505.491. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000Min: 2232 / Avg: 2250.02 / Max: 2261.59Min: 2550.94 / Avg: 2563.87 / Max: 2581.59Min: 2233.07 / Avg: 2244.25 / Max: 2259.791. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500SE +/- 5.38, N = 3SE +/- 2.18, N = 3SE +/- 4.58, N = 31240.56533.791242.45-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000Min: 1232.3 / Avg: 1240.56 / Max: 1250.65Min: 531.3 / Avg: 533.79 / Max: 538.13Min: 1237.1 / Avg: 1242.45 / Max: 1251.571. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 36.4314.986.42-ldl - MIN: 3.29 / MAX: 13.76-mno-avx512f - MIN: 8.89 / MAX: 192.81-ldl - MIN: 3.32 / MAX: 13.511. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 6.38 / Avg: 6.43 / Max: 6.48Min: 14.86 / Avg: 14.98 / Max: 15.05Min: 6.38 / Avg: 6.42 / Max: 6.451. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51270140210280350SE +/- 0.40, N = 3SE +/- 0.05, N = 3SE +/- 1.00, N = 3320.80252.69321.51-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51260120180240300Min: 320.01 / Avg: 320.8 / Max: 321.26Min: 252.59 / Avg: 252.69 / Max: 252.76Min: 319.55 / Avg: 321.51 / Max: 322.811. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512612182430SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 324.9215.8124.86-ldl - MIN: 12.72 / MAX: 35.46-mno-avx512f - MIN: 7.14 / MAX: 105.25-ldl - MIN: 12.43 / MAX: 42.381. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512612182430Min: 24.88 / Avg: 24.92 / Max: 24.98Min: 15.81 / Avg: 15.81 / Max: 15.82Min: 24.76 / Avg: 24.86 / Max: 25.021. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512140280420560700SE +/- 3.77, N = 3SE +/- 1.58, N = 3SE +/- 1.77, N = 3623.17310.38630.58-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512110220330440550Min: 616.09 / Avg: 623.17 / Max: 628.96Min: 308.4 / Avg: 310.38 / Max: 313.51Min: 627.3 / Avg: 630.58 / Max: 633.361. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 5123691215SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 36.4112.886.33-ldl - MIN: 3.21 / MAX: 14.83-mno-avx512f - MIN: 7.49 / MAX: 109.79-ldl - MIN: 4.22 / MAX: 15.171. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 6.35 / Avg: 6.41 / Max: 6.48Min: 12.75 / Avg: 12.88 / Max: 12.96Min: 6.3 / Avg: 6.33 / Max: 6.361. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.12, N = 3SE +/- 1.44, N = 3SE +/- 0.25, N = 3108.61141.30109.09-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512306090120150Min: 108.45 / Avg: 108.61 / Max: 108.84Min: 138.68 / Avg: 141.3 / Max: 143.63Min: 108.73 / Avg: 109.09 / Max: 109.561. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512816243240SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.08, N = 336.8028.2936.64-ldl - MIN: 12.79 / MAX: 55.71-mno-avx512f - MIN: 11.7 / MAX: 274.34-ldl - MIN: 13.62 / MAX: 58.491. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512816243240Min: 36.72 / Avg: 36.8 / Max: 36.85Min: 27.82 / Avg: 28.29 / Max: 28.82Min: 36.48 / Avg: 36.64 / Max: 36.761. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51270140210280350SE +/- 2.42, N = 3SE +/- 3.32, N = 6SE +/- 2.59, N = 7286.43325.95285.75-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51260120180240300Min: 283.84 / Avg: 286.43 / Max: 291.27Min: 318.08 / Avg: 325.95 / Max: 339.21Min: 282.16 / Avg: 285.75 / Max: 301.231. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620SE +/- 0.12, N = 3SE +/- 0.12, N = 6SE +/- 0.12, N = 713.9512.2613.99-ldl - MIN: 6.25 / MAX: 52.24-mno-avx512f - MIN: 6.09 / MAX: 23.07-ldl - MIN: 6.28 / MAX: 24.011. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51248121620Min: 13.72 / Avg: 13.95 / Max: 14.08Min: 11.77 / Avg: 12.26 / Max: 12.56Min: 13.26 / Avg: 13.99 / Max: 14.161. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512816243240SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 335.6231.7035.55-ldl-mno-avx512f-ldl1. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512816243240Min: 35.2 / Avg: 35.62 / Max: 36.13Min: 31.65 / Avg: 31.7 / Max: 31.78Min: 35.21 / Avg: 35.55 / Max: 35.831. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 512306090120150SE +/- 0.88, N = 3SE +/- 0.14, N = 3SE +/- 0.59, N = 3112.27126.09112.48-ldl - MIN: 60.98 / MAX: 140.63-mno-avx512f - MIN: 58.5 / MAX: 136.1-ldl - MIN: 53.91 / MAX: 140.821. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 110.63 / Avg: 112.27 / Max: 113.63Min: 125.81 / Avg: 126.09 / Max: 126.28Min: 111.57 / Avg: 112.48 / Max: 113.591. (CXX) g++ options: -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -pie

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 512110220330440550SE +/- 0.60, N = 3SE +/- 0.76, N = 3SE +/- 1.09, N = 3529517527-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 51290180270360450Min: 528 / Avg: 529.17 / Max: 530Min: 515.5 / Avg: 516.5 / Max: 518Min: 524.5 / Avg: 526.67 / Max: 5281. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 51270140210280350SE +/- 0.29, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3319315319-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 51260120180240300Min: 318 / Avg: 318.5 / Max: 319Min: 314.5 / Avg: 315.17 / Max: 315.5Min: 318 / Avg: 318.67 / Max: 3191. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 51220406080100SE +/- 0.88, N = 8SE +/- 0.17, N = 3SE +/- 0.17, N = 3102100103-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 96 / Avg: 102.13 / Max: 103.5Min: 100 / Avg: 100.33 / Max: 100.5Min: 103 / Avg: 103.17 / Max: 103.51. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 5121632486480SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.44, N = 3737273-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 5121428425670Min: 73 / Avg: 73 / Max: 73Min: 71 / Avg: 71.67 / Max: 72Min: 72.5 / Avg: 73.33 / Max: 741. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 51216003200480064008000SE +/- 80.51, N = 4SE +/- 44.00, N = 3SE +/- 64.19, N = 12735672796824-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 51213002600390052006500Min: 7121.5 / Avg: 7356.25 / Max: 7471.5Min: 7191 / Avg: 7279 / Max: 7323.5Min: 6420 / Avg: 6824.08 / Max: 7076.51. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 51211002200330044005500SE +/- 5.95, N = 3SE +/- 8.93, N = 3SE +/- 25.62, N = 3495045154626-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 5129001800270036004500Min: 4940 / Avg: 4949.67 / Max: 4960.5Min: 4498 / Avg: 4515.17 / Max: 4528Min: 4583.5 / Avg: 4625.83 / Max: 46721. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000SE +/- 2.67, N = 3SE +/- 8.55, N = 9SE +/- 5.77, N = 3100810421012-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000Min: 1002.5 / Avg: 1007.83 / Max: 1010.5Min: 978.5 / Avg: 1041.89 / Max: 1057Min: 1005.5 / Avg: 1012 / Max: 1023.51. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 512110220330440550SE +/- 0.44, N = 3SE +/- 2.46, N = 3SE +/- 0.60, N = 3519515524-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 51290180270360450Min: 518 / Avg: 518.67 / Max: 519.5Min: 510.5 / Avg: 514.67 / Max: 519Min: 523.5 / Avg: 524.33 / Max: 525.51. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 51215003000450060007500SE +/- 4.94, N = 3SE +/- 4.16, N = 3SE +/- 9.16, N = 3695469546962-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 51212002400360048006000Min: 6944 / Avg: 6953.83 / Max: 6959.5Min: 6945.5 / Avg: 6953.5 / Max: 6959.5Min: 6947.5 / Avg: 6962.17 / Max: 69791. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 51212002400360048006000SE +/- 7.10, N = 3SE +/- 1.76, N = 3SE +/- 3.18, N = 3554855575545-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 51210002000300040005000Min: 5538.5 / Avg: 5548.17 / Max: 5562Min: 5555 / Avg: 5557 / Max: 5560.5Min: 5541 / Avg: 5544.67 / Max: 55511. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 5125001000150020002500SE +/- 2.02, N = 3SE +/- 35.14, N = 12SE +/- 1.92, N = 3224919512250-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardAVX-512 OnAVX-512 OffAVX-512 On 512400800120016002000Min: 2244.5 / Avg: 2248.5 / Max: 2251Min: 1565 / Avg: 1951.38 / Max: 1988.5Min: 2247 / Avg: 2249.83 / Max: 2253.51. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 51230060090012001500SE +/- 1.36, N = 3SE +/- 1.76, N = 3SE +/- 4.33, N = 3138812781368-mno-avx512f1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelAVX-512 OnAVX-512 OffAVX-512 On 5122004006008001000Min: 1386.5 / Avg: 1388.33 / Max: 1391Min: 1274.5 / Avg: 1277.83 / Max: 1280.5Min: 1360.5 / Avg: 1368 / Max: 1375.51. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAVX-512 OnAVX-512 OffAVX-512 On 512140280420560700SE +/- 1.23, N = 3SE +/- 0.90, N = 3SE +/- 0.87, N = 3631.24575.79631.86
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAVX-512 OnAVX-512 OffAVX-512 On 512110220330440550Min: 628.84 / Avg: 631.24 / Max: 632.93Min: 574.03 / Avg: 575.79 / Max: 577.02Min: 630.43 / Avg: 631.86 / Max: 633.42

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareAVX-512 OnAVX-512 OffAVX-512 On 5120.23290.46580.69870.93161.1645SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 31.0311.0201.035-mno-avx512f1. (CXX) g++ options: -O3 -march=native
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareAVX-512 OnAVX-512 OffAVX-512 On 512246810Min: 1.02 / Avg: 1.03 / Max: 1.04Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 1.03 / Avg: 1.03 / Max: 1.041. (CXX) g++ options: -O3 -march=native

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsAVX-512 OnAVX-512 OffAVX-512 On 5124080120160200170.75133.30170.21

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX-512 OnAVX-512 OffAVX-512 On 51210002000300040005000Min: 3350 / Avg: 4733.96 / Max: 5541Min: 3500 / Avg: 4781.84 / Max: 5621Min: 2700 / Avg: 4722.22 / Max: 5323

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX-512 OnAVX-512 OffAVX-512 On 51250100150200250Min: 6.37 / Avg: 188.45 / Max: 283.94Min: 6.36 / Avg: 173.58 / Max: 251.93Min: 6.3 / Avg: 192.29 / Max: 280.23

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX-512 OnAVX-512 OffAVX-512 On 51220406080100Min: 29 / Avg: 78.17 / Max: 100Min: 27 / Avg: 72.98 / Max: 95Min: 31 / Avg: 79.47 / Max: 100

200 Results Shown

AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
OpenRadioss:
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  Cell Phone Drop Test
  Bumper Beam
  INIVOL and Fluid Structure Interaction Drop Container
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
LeelaChessZero:
  BLAS
  Eigen
simdjson:
  PartialTweets
  LargeRand
  Kostya
  DistinctUserID
  TopTweet
dav1d:
  Summer Nature 1080p
  Summer Nature 4K
  Chimera 1080p
  Chimera 1080p 10-bit
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
OpenVKL
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160
  RT.ldr_alb_nrm.3840x2160
  RTLightmap.hdr.4096x4096
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
OSPRay Studio:
  1 - 1080p - 1 - Path Tracer
  1 - 1080p - 16 - Path Tracer
  1 - 1080p - 32 - Path Tracer
  1 - 4K - 1 - Path Tracer
  1 - 4K - 16 - Path Tracer
  1 - 4K - 32 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  3 - 1080p - 16 - Path Tracer
  3 - 1080p - 32 - Path Tracer
  3 - 4K - 1 - Path Tracer
  3 - 4K - 16 - Path Tracer
  3 - 4K - 32 - Path Tracer
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  IP Shapes 1D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
Cpuminer-Opt:
  Triple SHA-256, Onecoin
  Quad SHA-256, Pyrite
  Myriad-Groestl
  Magi
  Blake-2 S
  x25x
  Garlicoin
  Ringcoin
  Deepcoin
  Skeincoin
  LBC, LBRY Credits
Xmrig:
  Monero - 1M
  Wownero - 1M
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
  CPU - SqueezeNet v2
TensorFlow:
  CPU - 16 - VGG-16
  CPU - 16 - ResNet-50
  CPU - 16 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 32 - VGG-16
  CPU - 32 - ResNet-50
  CPU - 32 - AlexNet
  CPU - 32 - GoogLeNet
  CPU - 64 - VGG-16
  CPU - 64 - ResNet-50
  CPU - 64 - AlexNet
  CPU - 64 - GoogLeNet
  CPU - 256 - VGG-16
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 256 - GoogLeNet
  CPU - 512 - AlexNet
  CPU - 512 - GoogLeNet
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
ONNX Runtime:
  yolov4 - CPU - Standard
  yolov4 - CPU - Parallel
  fcn-resnet101-11 - CPU - Standard
  fcn-resnet101-11 - CPU - Parallel
  super-resolution-10 - CPU - Standard
  super-resolution-10 - CPU - Parallel
  bertsquad-12 - CPU - Standard
  bertsquad-12 - CPU - Parallel
  GPT-2 - CPU - Standard
  GPT-2 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Standard
  ArcFace ResNet-100 - CPU - Parallel
Numpy Benchmark
GROMACS
Meta Performance Per Watts:
  Performance Per Watts
  Phoronix Test Suite System Monitoring
  Phoronix Test Suite System Monitoring
  Phoronix Test Suite System Monitoring