eps

2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2312241-NE-EPS60637430&sor.

epsProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen Resolutionab2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads)AMD Titanite_4G (RTI1007B BIOS)AMD Device 14a41520GB3201GB Micron_7450_MTFDKCB3T2TFSASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 23.106.5.0-13-generic (x86_64)GCC 13.2.0ext4800x600OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e Java Details- OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Details- Python 3.11.6Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + 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 / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

epslczero: BLASlczero: Eigenxmrig: KawPow - 1Mxmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: GhostRider - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mjava-scimark2: Compositejava-scimark2: Monte Carlojava-scimark2: Fast Fourier Transformjava-scimark2: Sparse Matrix Multiplyjava-scimark2: Dense LU Matrix Factorizationjava-scimark2: Jacobi Successive Over-Relaxationwebp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless Compressionsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080popenssl: SHA256openssl: SHA512openssl: RSA4096openssl: RSA4096spark-tpch: 1 - Geometric Mean Of All Queriesspark-tpch: 1 - Q01spark-tpch: 1 - Q02spark-tpch: 1 - Q03spark-tpch: 1 - Q04spark-tpch: 1 - Q05spark-tpch: 1 - Q06spark-tpch: 1 - Q07spark-tpch: 1 - Q08spark-tpch: 1 - Q09spark-tpch: 1 - Q10spark-tpch: 1 - Q11spark-tpch: 1 - Q12spark-tpch: 1 - Q13spark-tpch: 1 - Q14spark-tpch: 1 - Q15spark-tpch: 1 - Q16spark-tpch: 1 - Q17spark-tpch: 1 - Q18spark-tpch: 1 - Q19spark-tpch: 1 - Q20spark-tpch: 1 - Q21spark-tpch: 1 - Q22spark-tpch: 10 - Geometric Mean Of All Queriesspark-tpch: 10 - Q01spark-tpch: 10 - Q02spark-tpch: 10 - Q03spark-tpch: 10 - Q04spark-tpch: 10 - Q05spark-tpch: 10 - Q06spark-tpch: 10 - Q07spark-tpch: 10 - Q08spark-tpch: 10 - Q09spark-tpch: 10 - Q10spark-tpch: 10 - Q11spark-tpch: 10 - Q12spark-tpch: 10 - Q13spark-tpch: 10 - Q14spark-tpch: 10 - Q15spark-tpch: 10 - Q16spark-tpch: 10 - Q17spark-tpch: 10 - Q18spark-tpch: 10 - Q19spark-tpch: 10 - Q20spark-tpch: 10 - Q21spark-tpch: 10 - Q22spark-tpch: 50 - Geometric Mean Of All Queriesspark-tpch: 50 - Q01spark-tpch: 50 - Q02spark-tpch: 50 - Q03spark-tpch: 50 - Q04spark-tpch: 50 - Q05spark-tpch: 50 - Q06spark-tpch: 50 - Q07spark-tpch: 50 - Q08spark-tpch: 50 - Q09spark-tpch: 50 - Q10spark-tpch: 50 - Q11spark-tpch: 50 - Q12spark-tpch: 50 - Q13spark-tpch: 50 - Q14spark-tpch: 50 - Q15spark-tpch: 50 - Q16spark-tpch: 50 - Q17spark-tpch: 50 - Q18spark-tpch: 50 - Q19spark-tpch: 50 - Q20spark-tpch: 50 - Q21spark-tpch: 50 - Q22pytorch: CPU - 1 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 16 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 16 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 32 - ResNet-152pytorch: CPU - 256 - ResNet-152pytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 256 - Efficientnet_v2_ldeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamab853704123558.6123352.8131141.931859.7123041.6123199.03984.621631.42420.742809.0113358.531703.429.480.830.456.510.118.24886.434178.910176.67021.424165.104571.875635.8102818698957609163092547398622.03244390.32.449649164.320060812.061790713.864421843.925257454.131221610.468229154.010448062.655846445.709694073.813596651.273381352.175426481.588159362.064853312.501859661.381472592.959939245.628538450.790923953.057396179.645312311.0076904710.721502087.588891517.4310428313.9730876312.3457120316.443656292.0510474514.6520093315.5182476121.9067020415.174880988.002923499.944004387.377283737.076223695.841380766.8713129412.7704455018.469711946.2067783711.4356082332.907150276.0541189519.5874580712.0079561914.2548720026.1878871920.9959831229.836278915.9030920724.8571116126.7353528336.6645851124.3600374813.5802825319.4053777112.7590141312.704550119.7773386614.2157039724.3092791234.5130564310.4528725920.7987613787.8952891010.6932563823.5710.1621.1621.008.9321.298.908.966.402.322.322.32132.6580715.036248.447620.63455540.626817.3023190.79995.23771758.593154.5064209.79984.763717108.46345.5955804.17841.2413784.5178122.0312211.74484.7188156.4159607.566432.022931.21541761.404154.4097208.12004.8022796.0713120.2065212.09554.71261136.710584.2519224.57984.4503248.5770383.200465.207015.31832608.009036.750868.265514.6422132.0485719.281448.491720.6157871715123411.1122971131613.631728.9123777.7122070.33996.761632.45421.912792.0913434.091703.259.630.820.456.280.118.20886.841186.609184.34721.313162.561569.955639.0882822111754009183596147098528.83243345.22.495177474.446579462.082242013.866108183.754272463.692176340.358015573.877902752.609078175.897758483.812455421.139986872.266416071.740741612.211469652.587141751.517799142.883481985.131711480.857975963.050016889.559095381.0667921310.657939427.288267147.3924598714.2898464211.2624216118.861291891.855959314.8960590414.5576934822.5255279514.777194988.2781429310.038290027.940837866.906023035.438705926.9527068113.0137414917.313701636.060416711.5396614132.701549536.0443091419.5647565812.8683500314.5304679929.6859054621.816757231.200597765.8838248325.8605518326.6290950836.6652679424.6858558713.3120002717.7000179313.0449647912.567670829.4828777314.9753580124.5578899433.7419815112.0859279621.0538444577.7067565910.8741006923.1210.4321.5721.098.9720.608.989.656.742.342.322.28132.2719717.593648.326420.6865540.51717.3019191.09715.22961756.556954.5546206.9694.82917047.6395.6159804.75281.2404786.8905121.6067211.77294.718156.4283607.573531.979531.25751759.074654.4859209.19554.7775797.4124120.0373212.13054.71171136.643984.2491225.40474.4341249.4983382.556165.007915.36532596.096136.914668.263614.6426132.4219717.979148.33220.6837OpenBenchmarking.org

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: BLASba2004006008001000SE +/- 18.54, N = 98718531. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: Eigenba150300450600750SE +/- 17.59, N = 87157041. (CXX) g++ options: -flto -pthread

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1Mab30K60K90K120K150KSE +/- 87.00, N = 3123558.6123411.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1Mab30K60K90K120K150KSE +/- 404.54, N = 3123352.8122971.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1Mba30K60K90K120K150KSE +/- 621.69, N = 3131613.6131141.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1Mab7K14K21K28K35KSE +/- 24.02, N = 331859.731728.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1Mba30K60K90K120K150KSE +/- 33.09, N = 3123777.7123041.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1Mab30K60K90K120K150KSE +/- 220.87, N = 3123199.0122070.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Java SciMark

Computational Test: Composite

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Compositeba9001800270036004500SE +/- 6.24, N = 33996.763984.62

Java SciMark

Computational Test: Monte Carlo

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte Carloba400800120016002000SE +/- 0.75, N = 31632.451631.42

Java SciMark

Computational Test: Fast Fourier Transform

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier Transformba90180270360450SE +/- 0.36, N = 3421.91420.74

Java SciMark

Computational Test: Sparse Matrix Multiply

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix Multiplyab6001200180024003000SE +/- 3.16, N = 32809.012792.09

Java SciMark

Computational Test: Dense LU Matrix Factorization

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Dense LU Matrix Factorizationba3K6K9K12K15KSE +/- 31.70, N = 313434.0913358.53

Java SciMark

Computational Test: Jacobi Successive Over-Relaxation

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-Relaxationab400800120016002000SE +/- 0.16, N = 31703.421703.25

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Defaultba3691215SE +/- 0.08, N = 39.639.481. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7ab0.18680.37360.56040.74720.934SE +/- 0.00, N = 30.830.821. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7ba0.10130.20260.30390.40520.5065SE +/- 0.00, N = 30.450.451. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5ab246810SE +/- 0.04, N = 36.516.281. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless Compressionba0.02480.04960.07440.09920.124SE +/- 0.00, N = 30.110.111. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4Kab246810SE +/- 0.041, N = 38.2488.2081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4Kba20406080100SE +/- 0.17, N = 386.8486.431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4Kba4080120160200SE +/- 1.43, N = 3186.61178.911. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kba4080120160200SE +/- 1.61, N = 15184.35176.671. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pab510152025SE +/- 0.13, N = 321.4221.311. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pab4080120160200SE +/- 1.87, N = 3165.10162.561. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pab120240360480600SE +/- 1.39, N = 3571.88569.961. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pba140280420560700SE +/- 8.75, N = 3639.09635.811. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256ba60000M120000M180000M240000M300000MSE +/- 548972949.20, N = 32822111754002818698957601. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512ba20000M40000M60000M80000M100000MSE +/- 191332047.54, N = 391835961470916309254731. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096ab20K40K60K80K100KSE +/- 53.45, N = 398622.098528.81. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096ab700K1400K2100K2800K3500KSE +/- 1292.47, N = 33244390.33243345.21. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

Apache Spark TPC-H

Scale Factor: 1 - Geometric Mean Of All Queries

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Queriesab0.56141.12281.68422.24562.807SE +/- 0.02040294, N = 32.449649162.49517747MIN: 0.73 / MAX: 10.03MIN: 0.86 / MAX: 9.56

Apache Spark TPC-H

Scale Factor: 1 - Q01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01ab1.00052.0013.00154.0025.0025SE +/- 0.17358727, N = 34.320060814.44657946

Apache Spark TPC-H

Scale Factor: 1 - Q02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02ab0.46850.9371.40551.8742.3425SE +/- 0.02016184, N = 32.061790712.08224201

Apache Spark TPC-H

Scale Factor: 1 - Q03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03ab0.86991.73982.60973.47964.3495SE +/- 0.11371323, N = 33.864421843.86610818

Apache Spark TPC-H

Scale Factor: 1 - Q04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04ba0.88321.76642.64963.53284.416SE +/- 0.09899955, N = 33.754272463.92525745

Apache Spark TPC-H

Scale Factor: 1 - Q05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05ba0.92951.8592.78853.7184.6475SE +/- 0.18898243, N = 33.692176344.13122161

Apache Spark TPC-H

Scale Factor: 1 - Q06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06ba0.10540.21080.31620.42160.527SE +/- 0.03244463, N = 30.358015570.46822915

Apache Spark TPC-H

Scale Factor: 1 - Q07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07ba0.90241.80482.70723.60964.512SE +/- 0.02085439, N = 33.877902754.01044806

Apache Spark TPC-H

Scale Factor: 1 - Q08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08ba0.59761.19521.79282.39042.988SE +/- 0.02941830, N = 32.609078172.65584644

Apache Spark TPC-H

Scale Factor: 1 - Q09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09ab1.3272.6543.9815.3086.635SE +/- 0.08828966, N = 35.709694075.89775848

Apache Spark TPC-H

Scale Factor: 1 - Q10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10ba0.85811.71622.57433.43244.2905SE +/- 0.13264795, N = 33.812455423.81359665

Apache Spark TPC-H

Scale Factor: 1 - Q11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11ba0.28650.5730.85951.1461.4325SE +/- 0.06007206, N = 31.139986871.27338135

Apache Spark TPC-H

Scale Factor: 1 - Q12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12ab0.50991.01981.52972.03962.5495SE +/- 0.15180813, N = 32.175426482.26641607

Apache Spark TPC-H

Scale Factor: 1 - Q13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13ab0.39170.78341.17511.56681.9585SE +/- 0.15789062, N = 31.588159361.74074161

Apache Spark TPC-H

Scale Factor: 1 - Q14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14ab0.49760.99521.49281.99042.488SE +/- 0.16557850, N = 32.064853312.21146965

Apache Spark TPC-H

Scale Factor: 1 - Q15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15ab0.58211.16421.74632.32842.9105SE +/- 0.11136502, N = 32.501859662.58714175

Apache Spark TPC-H

Scale Factor: 1 - Q16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16ab0.34150.6831.02451.3661.7075SE +/- 0.06760680, N = 31.381472591.51779914

Apache Spark TPC-H

Scale Factor: 1 - Q17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17ba0.6661.3321.9982.6643.33SE +/- 0.10612827, N = 32.883481982.95993924

Apache Spark TPC-H

Scale Factor: 1 - Q18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18ba1.26642.53283.79925.06566.332SE +/- 0.11078356, N = 35.131711485.62853845

Apache Spark TPC-H

Scale Factor: 1 - Q19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19ab0.1930.3860.5790.7720.965SE +/- 0.03922839, N = 30.790923950.85797596

Apache Spark TPC-H

Scale Factor: 1 - Q20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20ba0.68791.37582.06372.75163.4395SE +/- 0.12035470, N = 33.050016883.05739617

Apache Spark TPC-H

Scale Factor: 1 - Q21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21ba3691215SE +/- 0.26119238, N = 39.559095389.64531231

Apache Spark TPC-H

Scale Factor: 1 - Q22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q22ab0.240.480.720.961.2SE +/- 0.03222070, N = 31.007690471.06679213

Apache Spark TPC-H

Scale Factor: 10 - Geometric Mean Of All Queries

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All Queriesba3691215SE +/- 0.02, N = 310.6610.72MIN: 5.44 / MAX: 32.7MIN: 5.7 / MAX: 33.03

Apache Spark TPC-H

Scale Factor: 10 - Q01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01ba246810SE +/- 0.23898111, N = 37.288267147.58889151

Apache Spark TPC-H

Scale Factor: 10 - Q02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02ba246810SE +/- 0.13824959, N = 37.392459877.43104283

Apache Spark TPC-H

Scale Factor: 10 - Q03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03ab48121620SE +/- 0.31, N = 313.9714.29

Apache Spark TPC-H

Scale Factor: 10 - Q04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04ba3691215SE +/- 0.21, N = 311.2612.35

Apache Spark TPC-H

Scale Factor: 10 - Q05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05ab510152025SE +/- 0.48, N = 316.4418.86

Apache Spark TPC-H

Scale Factor: 10 - Q06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06ba0.46150.9231.38451.8462.3075SE +/- 0.23574646, N = 31.855959302.05104745

Apache Spark TPC-H

Scale Factor: 10 - Q07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07ab48121620SE +/- 0.33, N = 314.6514.90

Apache Spark TPC-H

Scale Factor: 10 - Q08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08ba48121620SE +/- 0.41, N = 314.5615.52

Apache Spark TPC-H

Scale Factor: 10 - Q09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09ab510152025SE +/- 0.51, N = 321.9122.53

Apache Spark TPC-H

Scale Factor: 10 - Q10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10ba48121620SE +/- 0.31, N = 314.7815.17

Apache Spark TPC-H

Scale Factor: 10 - Q11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11ab246810SE +/- 0.04584382, N = 38.002923498.27814293

Apache Spark TPC-H

Scale Factor: 10 - Q12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12ab3691215SE +/- 0.16460967, N = 39.9440043810.03829002

Apache Spark TPC-H

Scale Factor: 10 - Q13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13ab246810SE +/- 0.09689769, N = 37.377283737.94083786

Apache Spark TPC-H

Scale Factor: 10 - Q14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14ba246810SE +/- 0.33271668, N = 36.906023037.07622369

Apache Spark TPC-H

Scale Factor: 10 - Q15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15ba1.31432.62863.94295.25726.5715SE +/- 0.10221447, N = 35.438705925.84138076

Apache Spark TPC-H

Scale Factor: 10 - Q16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16ab246810SE +/- 0.33462632, N = 36.871312946.95270681

Apache Spark TPC-H

Scale Factor: 10 - Q17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17ab3691215SE +/- 0.07, N = 312.7713.01

Apache Spark TPC-H

Scale Factor: 10 - Q18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18ba510152025SE +/- 0.50, N = 317.3118.47

Apache Spark TPC-H

Scale Factor: 10 - Q19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19ba246810SE +/- 0.15363169, N = 36.060416706.20677837

Apache Spark TPC-H

Scale Factor: 10 - Q20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20ab3691215SE +/- 0.14, N = 311.4411.54

Apache Spark TPC-H

Scale Factor: 10 - Q21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21ba816243240SE +/- 0.11, N = 332.7032.91

Apache Spark TPC-H

Scale Factor: 10 - Q22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q22ba246810SE +/- 0.13164085, N = 36.044309146.05411895

Apache Spark TPC-H

Scale Factor: 50 - Geometric Mean Of All Queries

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Geometric Mean Of All Queriesba510152025SE +/- 0.05, N = 319.5619.59MIN: 9.48 / MAX: 77.71MIN: 9.71 / MAX: 103.64

Apache Spark TPC-H

Scale Factor: 50 - Q01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q01ab3691215SE +/- 0.21, N = 312.0112.87

Apache Spark TPC-H

Scale Factor: 50 - Q02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q02ab48121620SE +/- 0.35, N = 314.2514.53

Apache Spark TPC-H

Scale Factor: 50 - Q03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q03ab714212835SE +/- 0.94, N = 326.1929.69

Apache Spark TPC-H

Scale Factor: 50 - Q04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q04ab510152025SE +/- 0.46, N = 321.0021.82

Apache Spark TPC-H

Scale Factor: 50 - Q05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q05ab714212835SE +/- 0.67, N = 329.8431.20

Apache Spark TPC-H

Scale Factor: 50 - Q06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q06ba1.32822.65643.98465.31286.641SE +/- 0.04522799, N = 35.883824835.90309207

Apache Spark TPC-H

Scale Factor: 50 - Q07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q07ab612182430SE +/- 0.23, N = 324.8625.86

Apache Spark TPC-H

Scale Factor: 50 - Q08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q08ba612182430SE +/- 0.26, N = 326.6326.74

Apache Spark TPC-H

Scale Factor: 50 - Q09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q09ab816243240SE +/- 0.34, N = 336.6636.67

Apache Spark TPC-H

Scale Factor: 50 - Q10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q10ab612182430SE +/- 0.32, N = 324.3624.69

Apache Spark TPC-H

Scale Factor: 50 - Q11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q11ba3691215SE +/- 0.32, N = 313.3113.58

Apache Spark TPC-H

Scale Factor: 50 - Q12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q12ba510152025SE +/- 1.19, N = 317.7019.41

Apache Spark TPC-H

Scale Factor: 50 - Q13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q13ab3691215SE +/- 0.08, N = 312.7613.04

Apache Spark TPC-H

Scale Factor: 50 - Q14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q14ba3691215SE +/- 0.22, N = 312.5712.70

Apache Spark TPC-H

Scale Factor: 50 - Q15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q15ba3691215SE +/- 0.05343306, N = 39.482877739.77733866

Apache Spark TPC-H

Scale Factor: 50 - Q16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q16ab48121620SE +/- 0.26, N = 314.2214.98

Apache Spark TPC-H

Scale Factor: 50 - Q17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q17ab612182430SE +/- 0.55, N = 324.3124.56

Apache Spark TPC-H

Scale Factor: 50 - Q18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q18ba816243240SE +/- 0.33, N = 333.7434.51

Apache Spark TPC-H

Scale Factor: 50 - Q19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q19ab3691215SE +/- 0.12, N = 310.4512.09

Apache Spark TPC-H

Scale Factor: 50 - Q20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q20ab510152025SE +/- 0.10, N = 320.8021.05

Apache Spark TPC-H

Scale Factor: 50 - Q21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q21ba20406080100SE +/- 7.93, N = 377.7187.90

Apache Spark TPC-H

Scale Factor: 50 - Q22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q22ab3691215SE +/- 0.12, N = 310.6910.87

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50ab612182430SE +/- 0.19, N = 1523.5723.12MIN: 11.38 / MAX: 25.62MIN: 12.17 / MAX: 24.33

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152ba3691215SE +/- 0.08, N = 310.4310.16MIN: 4.8 / MAX: 11.36MIN: 4.56 / MAX: 10.94

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50ba510152025SE +/- 0.25, N = 321.5721.16MIN: 14.06 / MAX: 22.29MIN: 12.26 / MAX: 22.24

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50ba510152025SE +/- 0.20, N = 321.0921.00MIN: 13.93 / MAX: 21.71MIN: 11.39 / MAX: 21.87

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152ba3691215SE +/- 0.10, N = 38.978.93MIN: 4.96 / MAX: 9.11MIN: 4.75 / MAX: 9.39

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50ab510152025SE +/- 0.31, N = 321.2920.60MIN: 13.22 / MAX: 22.39MIN: 13.89 / MAX: 21.35

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152ba3691215SE +/- 0.10, N = 38.988.90MIN: 5.1 / MAX: 9.29MIN: 4.8 / MAX: 9.23

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152ba3691215SE +/- 0.05, N = 39.658.96MIN: 4.98 / MAX: 9.85MIN: 4.84 / MAX: 9.24

PyTorch

Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lba246810SE +/- 0.05, N = 36.746.40MIN: 3.48 / MAX: 6.89MIN: 2.93 / MAX: 6.73

PyTorch

Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lba0.52651.0531.57952.1062.6325SE +/- 0.01, N = 32.342.32MIN: 1.78 / MAX: 2.78MIN: 1.77 / MAX: 2.81

PyTorch

Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lba0.5221.0441.5662.0882.61SE +/- 0.01, N = 32.322.32MIN: 1.93 / MAX: 2.71MIN: 1.86 / MAX: 2.8

PyTorch

Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lab0.5221.0441.5662.0882.61SE +/- 0.00, N = 32.322.28MIN: 1.83 / MAX: 2.8MIN: 1.71 / MAX: 2.84

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab306090120150SE +/- 0.66, N = 3132.66132.27

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab150300450600750SE +/- 4.21, N = 3715.04717.59

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamab1122334455SE +/- 0.02, N = 348.4548.33

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamab510152025SE +/- 0.01, N = 320.6320.69

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamab12002400360048006000SE +/- 5.02, N = 35540.635540.52

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamba48121620SE +/- 0.01, N = 317.3017.30

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamba4080120160200SE +/- 0.06, N = 3191.10190.80

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamba1.17852.3573.53554.7145.8925SE +/- 0.0015, N = 35.22965.2377

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab400800120016002000SE +/- 1.91, N = 31758.591756.56

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab1224364860SE +/- 0.06, N = 354.5154.55

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamab50100150200250SE +/- 0.52, N = 3209.80206.97

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamab1.08652.1733.25954.3465.4325SE +/- 0.0118, N = 34.76374.8290

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab4K8K12K16K20KSE +/- 16.76, N = 317108.4617047.64

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab1.26362.52723.79085.05446.318SE +/- 0.0055, N = 35.59555.6159

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamba2004006008001000SE +/- 3.00, N = 3804.75804.18

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamba0.27930.55860.83791.11721.3965SE +/- 0.0046, N = 31.24041.2413

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamba2004006008001000SE +/- 1.42, N = 3786.89784.52

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamba306090120150SE +/- 0.25, N = 3121.61122.03

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamba50100150200250SE +/- 0.50, N = 3211.77211.74

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamba1.06172.12343.18514.24685.3085SE +/- 0.0110, N = 34.71804.7188

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamba306090120150SE +/- 0.02, N = 3156.43156.42

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab130260390520650SE +/- 0.37, N = 3607.57607.57

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streamab714212835SE +/- 0.03, N = 332.0231.98

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streamab714212835SE +/- 0.03, N = 331.2231.26

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab400800120016002000SE +/- 2.24, N = 31761.401759.07

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab1224364860SE +/- 0.07, N = 354.4154.49

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamba50100150200250SE +/- 0.44, N = 3209.20208.12

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamba1.08052.1613.24154.3225.4025SE +/- 0.0103, N = 34.77754.8022

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamba2004006008001000SE +/- 1.54, N = 3797.41796.07

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamba306090120150SE +/- 0.24, N = 3120.04120.21

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamba50100150200250SE +/- 0.35, N = 3212.13212.10

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamba1.06032.12063.18094.24125.3015SE +/- 0.0079, N = 34.71174.7126

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab2004006008001000SE +/- 2.45, N = 31136.711136.64

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamba20406080100SE +/- 0.19, N = 384.2584.25

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamba50100150200250SE +/- 0.01, N = 3225.40224.58

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamba1.00132.00263.00394.00525.0065SE +/- 0.0001, N = 34.43414.4503

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamba50100150200250SE +/- 0.41, N = 3249.50248.58

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamba80160240320400SE +/- 0.61, N = 3382.56383.20

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamab1530456075SE +/- 0.04, N = 365.2165.01

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamab48121620SE +/- 0.01, N = 315.3215.37

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab6001200180024003000SE +/- 6.37, N = 32608.012596.10

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab816243240SE +/- 0.09, N = 336.7536.91

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamab1530456075SE +/- 0.11, N = 368.2768.26

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamab48121620SE +/- 0.02, N = 314.6414.64

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamba306090120150SE +/- 0.03, N = 3132.42132.05

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamba160320480640800SE +/- 1.53, N = 3717.98719.28

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamab1122334455SE +/- 0.05, N = 348.4948.33

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamab510152025SE +/- 0.02, N = 320.6220.68

Phoronix Test Suite v10.8.4