7950x3d

AMD Ryzen 9 7950X3D 16-Core testing with a ASRockRack B650D4U-2L2T/BCM (2.09 BIOS) and ASPEED 512MB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2311220-NE-7950X3D3814&grt&rdt.

7950x3dProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionabcdAMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads)ASRockRack B650D4U-2L2T/BCM (2.09 BIOS)AMD Device 14d82 x 32 GB DDR5-4800MT/s MTC20C2085S1EC48BA13201GB Micron_7450_MTFDKCC3T2TFS + 0GB Virtual HDisk0 + 0GB Virtual HDisk1 + 0GB Virtual HDisk2 + 0GB Virtual HDisk3ASPEED 512MBAMD Device 1640VA24312 x Intel I210 + 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMAUbuntu 22.046.6.0-rc4-phx-amd-pref-core (x86_64)GNOME Shell 42.9X Server1.3.238GCC 11.4.0ext41920x1200OpenBenchmarking.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,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu122.04)Python Details- Python 3.10.12Security 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 no microcode + 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

7950x3dcloverleaf: clover_bmcloverleaf: clover_bm16cloverleaf: clover_bm64_shortcpuminer-opt: Magicpuminer-opt: scryptcpuminer-opt: Deepcoincpuminer-opt: Ringcoincpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Triple SHA-256, Onecoindacapobench: Jythondacapobench: Eclipsedacapobench: GraphChidacapobench: Tradesoapdacapobench: Tradebeansdacapobench: Spring Bootdacapobench: Apache Kafkadacapobench: Apache Tomcatdacapobench: jMonkeyEnginedacapobench: Apache Cassandradacapobench: Apache Xalan XSLTdacapobench: Batik SVG Toolkitdacapobench: H2 Database Enginedacapobench: FOP Print Formatterdacapobench: PMD Source Code Analyzerdacapobench: Apache Lucene Search Indexdacapobench: Apache Lucene Search Enginedacapobench: Avrora AVR Simulation Frameworkdacapobench: BioJava Biological Data Frameworkdacapobench: Zxing 1D/2D Barcode Image Processingdacapobench: H2O In-Memory Platform For Machine Learningeasywave: e2Asean Grid + BengkuluSept2007 Source - 240easywave: e2Asean Grid + BengkuluSept2007 Source - 1200embree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objffmpeg: libx264 - Liveffmpeg: libx265 - Liveffmpeg: libx264 - Uploadffmpeg: libx265 - Uploadffmpeg: libx264 - Platformffmpeg: libx265 - Platformffmpeg: libx264 - Video On Demandffmpeg: libx265 - Video On Demandoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenssl: SHA256openssl: SHA512openssl: RSA4096openssl: RSA4096openssl: ChaCha20openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20-Poly1305openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvkl: vklBenchmarkCPU ISPCopenvkl: vklBenchmarkCPU Scalarospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 2 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 1080p - 32 - Path Tracer - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 2 - 1080p - 32 - Path Tracer - CPUospray-studio: 3 - 1080p - 16 - Path Tracer - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUpytorch: CPU - 1 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 16 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 64 - ResNet-50pytorch: CPU - 16 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 32 - ResNet-152pytorch: CPU - 512 - ResNet-50pytorch: CPU - 64 - ResNet-152pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-152pytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 256 - Efficientnet_v2_lpytorch: CPU - 512 - Efficientnet_v2_lqmcpack: H4_aeqmcpack: Li2_STO_aeqmcpack: LiH_ae_MSDqmcpack: simple-H2Oqmcpack: O_ae_pyscf_UHFqmcpack: FeCO6_b3lyp_gmsquantlib: Multi-Threadedquantlib: Single-Threadedbuild-ffmpeg: Time To Compilebuild-gem5: Time To Compilewebp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless Compressionabcd31.841496.78175.91640.3304.467978.243455.061346601796.71344401144015850620801058804258792323282808391215235095343268125480526110418554141244284213312548494661225922.14881.62530.495831.919530.933327.578333.778428.608282.96179.5516.9033.5463.9868.3964.1668.480.810.810.391.893792.801830.5236590.2629560.6942961.237124.017812.985362.598963.767790.4555310.647551227.58620.7141231.931.094252.343291.48385633.911236.29632.07232631708710106384699605501.2358677.512548865201098960081440924807869808946150223013.41595.5594.284.8394.0584.991034.257.7125.52313.053070.772.49439.7518.161613.224.921353.9111.794527.763.44524.5815.23130.0561.382608.396.11572.385.06739.5621.6133511.790.43584.127.3647376.590.2960324242514303502571605139956731121415508439716525310691083126717116384991726638852201484467069.4126.9945.7044.9745.4518.1345.0918.0446.3117.8017.9618.3014.2010.6210.8110.8610.8410.9312.16135.673.46818.239132.77125.4682133.53980.321.91284.1513.510.310.158.730.0331.791495.65175.92635.66304.627965.213355.731341771783.76344401149015783621271058974147787223832714386516605091342468155548522109218534171176279813202801493561625952.08981.03030.448431.965330.887427.516633.727228.7074282.92180.0616.6733.5363.8568.3663.7868.570.810.810.391.940872.817370.4987410.2791280.6931231.185584.034183.010992.598383.716500.4563470.6468661229.80636.4971236.681.097602.341251.48496635.3001231.68633.61132907394910106358355305508.4359044.212512743096098958335180925126926308958268839013.38595.3693.9585.0794.6684.431032.487.7325.56312.533063.552.5435.7718.321617.794.911352.8911.84537.363.43522.6415.28130.9560.982604.126.111587.745.02731.4221.8533483.530.43585.5527.2947316.170.2960324242674323502772346140342728151417738466016503410691083126617116382791731638740202264443770.3926.7346.7345.9847.0118.0246.2918.0646.3618.0718.1117.8114.1210.8610.8910.9310.9311.0412.51135.9574.10218.433131.36125.4982020.04042.621.895283.21513.050.310.158.730.0332.021494.53175.92636.52305.227982.943367.451348001783.94344301140015790620801058904081774724112699382416225098343868115554528108618404551207268912952838479460625912.10180.87330.391631.704730.831627.540333.651628.6444284.24180.0216.8133.4663.6968.2964.1468.140.810.810.391.925662.803770.5345760.2487880.6953391.183724.011143.009062.598353.727810.456250.6462231234.14632.3941236.281.099422.339221.48752624.1381228.25628.30832833153190106490755005468.4358701.312533858004098987719340924793156908947892825013.33597.294.2984.7493.7685.2710327.7325.56312.483067.522.5437.7618.241617.824.91353.6211.794512.343.44532.9414.99130.0661.382609.576.11591.845733.8121.7733482.540.43587.4727.2147255.360.360424242394316503572590140119728881416988478616462510691083126517097384481723538798201864468269.0527.0245.9445.9146.1018.0346.1618.0546.4117.7518.1118.1614.0110.7210.8710.8210.8810.8512.63135.673.60118.387129.98124.98819584025.421.918284.04313.380.320.158.720.0332.061496.30175.86635.79305.367973.873350.861352001844.59344701139015780620501058604136777323872778392016575094343768155570524110118594301186268313012537493061127092.0980.09830.511231.853530.826327.531633.724828.7019276.55179.2916.6433.5763.7568.6364.2668.710.810.810.391.935182.818730.5205750.2569620.6951711.176684.043192.987852.598863.761920.4555530.6452311224625.5041224.111.097822.34111.48153634.6631234.57635.30532930127410106392313705500.8358447.112527706385099011030490924791346508948840393013.39594.9894.9984.1494.2884.741033.337.7225.5313.253069.352.49434.9818.361619.164.91351.1711.814544.573.42521.4615.32131.0960.942603.356.111572.565.06733.3621.7933491.830.43579.5627.5747453.430.2960324142514297504271802139631727621413608457316464510681085126417075385121728939062201394417768.9927.6345.1647.7045.4318.0247.0618.1446.9318.1918.1917.9514.2510.9710.9210.9010.7910.9412.62135.0273.48818.297129.65125.1382159.4403322.012288.15913.710.310.158.750.03OpenBenchmarking.org

CloverLeaf

Input: clover_bm

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmabcd714212835SE +/- 0.08, N = 331.8431.7932.0232.061. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16abcd30060090012001500SE +/- 0.59, N = 31496.781495.651494.531496.301. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortabcd4080120160200SE +/- 0.02, N = 3175.91175.92175.92175.861. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Cpuminer-Opt

Algorithm: Magi

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Magiabcd140280420560700SE +/- 0.61, N = 3640.30635.66636.52635.791. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: scrypt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: scryptabcd70140210280350SE +/- 0.25, N = 3304.46304.62305.22305.361. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Deepcoinabcd2K4K6K8K10KSE +/- 21.85, N = 37978.247965.217982.947973.871. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Ringcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Ringcoinabcd7001400210028003500SE +/- 2.45, N = 33455.063355.733367.453350.861. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Blake-2 S

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Blake-2 Sabcd30K60K90K120K150KSE +/- 3.33, N = 31346601341771348001352001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Garlicoinabcd400800120016002000SE +/- 2.78, N = 31796.711783.761783.941844.591. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Skeincoinabcd7K14K21K28K35KSE +/- 5.77, N = 3344403444034430344701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Myriad-Groestlabcd2K4K6K8K10KSE +/- 50.00, N = 3114401149011400113901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: LBC, LBRY Creditsabcd3K6K9K12K15KSE +/- 3.33, N = 3158501578315790157801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Quad SHA-256, Pyriteabcd13K26K39K52K65KSE +/- 16.67, N = 3620806212762080620501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Triple SHA-256, Onecoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Triple SHA-256, Onecoinabcd20K40K60K80K100KSE +/- 3.33, N = 31058801058971058901058601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Jythonabcd9001800270036004500SE +/- 38.35, N = 34258414740814136

DaCapo Benchmark

Java Test: Eclipse

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Eclipseabcd2K4K6K8K10KSE +/- 58.05, N = 37923787277477773

DaCapo Benchmark

Java Test: GraphChi

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: GraphChiabcd5001000150020002500SE +/- 9.87, N = 32328238324112387

DaCapo Benchmark

Java Test: Tradesoap

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradesoapabcd6001200180024003000SE +/- 19.80, N = 32808271426992778

DaCapo Benchmark

Java Test: Tradebeans

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradebeansabcd8001600240032004000SE +/- 47.36, N = 33912386538243920

DaCapo Benchmark

Java Test: Spring Boot

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Spring Bootabcd400800120016002000SE +/- 9.84, N = 31523166016221657

DaCapo Benchmark

Java Test: Apache Kafka

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Kafkaabcd11002200330044005500SE +/- 0.88, N = 35095509150985094

DaCapo Benchmark

Java Test: Apache Tomcat

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Tomcatabcd7001400210028003500SE +/- 3.51, N = 33432342434383437

DaCapo Benchmark

Java Test: jMonkeyEngine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: jMonkeyEngineabcd15003000450060007500SE +/- 0.88, N = 36812681568116815

DaCapo Benchmark

Java Test: Apache Cassandra

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Cassandraabcd12002400360048006000SE +/- 47.51, N = 35480554855545570

DaCapo Benchmark

Java Test: Apache Xalan XSLT

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Xalan XSLTabcd110220330440550SE +/- 1.00, N = 3526522528524

DaCapo Benchmark

Java Test: Batik SVG Toolkit

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Batik SVG Toolkitabcd2004006008001000SE +/- 15.43, N = 31104109210861101

DaCapo Benchmark

Java Test: H2 Database Engine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database Engineabcd400800120016002000SE +/- 9.96, N = 31855185318401859

DaCapo Benchmark

Java Test: FOP Print Formatter

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: FOP Print Formatterabcd100200300400500SE +/- 7.98, N = 15414417455430

DaCapo Benchmark

Java Test: PMD Source Code Analyzer

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: PMD Source Code Analyzerabcd30060090012001500SE +/- 5.04, N = 31244117612071186

DaCapo Benchmark

Java Test: Apache Lucene Search Index

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search Indexabcd6001200180024003000SE +/- 6.81, N = 32842279826892683

DaCapo Benchmark

Java Test: Apache Lucene Search Engine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search Engineabcd30060090012001500SE +/- 10.95, N = 91331132012951301

DaCapo Benchmark

Java Test: Avrora AVR Simulation Framework

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Avrora AVR Simulation Frameworkabcd6001200180024003000SE +/- 25.80, N = 152548280128382537

DaCapo Benchmark

Java Test: BioJava Biological Data Framework

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: BioJava Biological Data Frameworkabcd11002200330044005500SE +/- 70.68, N = 34946493547944930

DaCapo Benchmark

Java Test: Zxing 1D/2D Barcode Image Processing

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Zxing 1D/2D Barcode Image Processingabcd130260390520650SE +/- 8.14, N = 3612616606611

DaCapo Benchmark

Java Test: H2O In-Memory Platform For Machine Learning

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2O In-Memory Platform For Machine Learningabcd6001200180024003000SE +/- 1.45, N = 32592259525912709

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240abcd0.48330.96661.44991.93322.4165SE +/- 0.004, N = 32.1482.0892.1012.0901. (CXX) g++ options: -O3 -fopenmp

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200abcd20406080100SE +/- 0.33, N = 381.6381.0380.8780.101. (CXX) g++ options: -O3 -fopenmp

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crownabcd714212835SE +/- 0.06, N = 330.5030.4530.3930.51MIN: 30.29 / MAX: 31MIN: 30.1 / MAX: 31.05MIN: 30.17 / MAX: 30.88MIN: 30.28 / MAX: 31.02

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownabcd714212835SE +/- 0.04, N = 331.9231.9731.7031.85MIN: 31.66 / MAX: 32.67MIN: 31.62 / MAX: 32.67MIN: 31.4 / MAX: 32.36MIN: 31.57 / MAX: 32.5

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragonabcd714212835SE +/- 0.06, N = 330.9330.8930.8330.83MIN: 30.8 / MAX: 31.38MIN: 30.64 / MAX: 31.42MIN: 30.69 / MAX: 31.19MIN: 30.69 / MAX: 31.27

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon Objabcd612182430SE +/- 0.04, N = 327.5827.5227.5427.53MIN: 27.4 / MAX: 28.05MIN: 27.3 / MAX: 28.13MIN: 27.35 / MAX: 27.99MIN: 27.38 / MAX: 27.96

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonabcd816243240SE +/- 0.07, N = 333.7833.7333.6533.72MIN: 33.54 / MAX: 34.43MIN: 33.38 / MAX: 34.7MIN: 33.44 / MAX: 34.17MIN: 33.46 / MAX: 34.55

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objabcd714212835SE +/- 0.05, N = 328.6128.7128.6428.70MIN: 28.41 / MAX: 29.24MIN: 28.44 / MAX: 29.67MIN: 28.43 / MAX: 29.3MIN: 28.49 / MAX: 29.4

FFmpeg

Encoder: libx264 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Liveabcd60120180240300SE +/- 1.97, N = 3282.96282.92284.24276.551. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Liveabcd4080120160200SE +/- 0.76, N = 3179.55180.06180.02179.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx264 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Uploadabcd48121620SE +/- 0.14, N = 316.9016.6716.8116.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Uploadabcd816243240SE +/- 0.08, N = 333.5433.5333.4633.571. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx264 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Platformabcd1428425670SE +/- 0.08, N = 363.9863.8563.6963.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Platformabcd1530456075SE +/- 0.09, N = 368.3968.3668.2968.631. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx264 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Video On Demandabcd1428425670SE +/- 0.11, N = 364.1663.7864.1464.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On Demandabcd1530456075SE +/- 0.07, N = 368.4868.5768.1468.711. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyabcd0.18230.36460.54690.72920.9115SE +/- 0.00, N = 30.810.810.810.81

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyabcd0.18230.36460.54690.72920.9115SE +/- 0.00, N = 30.810.810.810.81

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyabcd0.08780.17560.26340.35120.439SE +/- 0.00, N = 30.390.390.390.39

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUabcd0.43670.87341.31011.74682.1835SE +/- 0.02190, N = 31.893791.940871.925661.93518MIN: 1.7MIN: 1.73MIN: 1.71MIN: 1.721. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUabcd0.63421.26841.90262.53683.171SE +/- 0.01747, N = 32.801832.817372.803772.81873MIN: 2.76MIN: 2.75MIN: 2.76MIN: 2.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUabcd0.12030.24060.36090.48120.6015SE +/- 0.010372, N = 150.5236590.4987410.5345760.520575MIN: 0.43MIN: 0.39MIN: 0.43MIN: 0.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUabcd0.06280.12560.18840.25120.314SE +/- 0.003205, N = 130.2629560.2791280.2487880.256962MIN: 0.25MIN: 0.24MIN: 0.24MIN: 0.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUabcd0.15650.3130.46950.6260.7825SE +/- 0.002235, N = 30.6942960.6931230.6953390.695171MIN: 0.65MIN: 0.64MIN: 0.65MIN: 0.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUabcd0.27840.55680.83521.11361.392SE +/- 0.01251, N = 51.237121.185581.183721.17668MIN: 1.17MIN: 1.08MIN: 1.11MIN: 1.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUabcd0.90971.81942.72913.63884.5485SE +/- 0.00942, N = 34.017814.034184.011144.04319MIN: 3.96MIN: 3.94MIN: 3.96MIN: 3.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUabcd0.67751.3552.03252.713.3875SE +/- 0.00759, N = 32.985363.010993.009062.98785MIN: 2.51MIN: 2.51MIN: 2.51MIN: 2.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUabcd0.58481.16961.75442.33922.924SE +/- 0.00014, N = 32.598962.598382.598352.59886MIN: 2.59MIN: 2.59MIN: 2.59MIN: 2.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUabcd0.84781.69562.54343.39124.239SE +/- 0.01733, N = 33.767793.716503.727813.76192MIN: 3.68MIN: 3.63MIN: 3.66MIN: 3.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUabcd0.10270.20540.30810.41080.5135SE +/- 0.000061, N = 30.4555310.4563470.4562500.455553MIN: 0.44MIN: 0.44MIN: 0.44MIN: 0.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUabcd0.14570.29140.43710.58280.7285SE +/- 0.000222, N = 30.6475500.6468660.6462230.645231MIN: 0.64MIN: 0.64MIN: 0.64MIN: 0.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUabcd30060090012001500SE +/- 0.51, N = 31227.581229.801234.141224.00MIN: 1224.62MIN: 1224.55MIN: 1229.87MIN: 1220.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUabcd140280420560700SE +/- 0.32, N = 3620.71636.50632.39625.50MIN: 617.84MIN: 632.82MIN: 629.36MIN: 622.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUabcd30060090012001500SE +/- 0.95, N = 31231.931236.681236.281224.11MIN: 1227.81MIN: 1230.73MIN: 1233.21MIN: 1220.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUabcd0.24740.49480.74220.98961.237SE +/- 0.00130, N = 31.094251.097601.099421.09782MIN: 1.07MIN: 1.07MIN: 1.07MIN: 1.071. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUabcd0.52721.05441.58162.10882.636SE +/- 0.00064, N = 32.343292.341252.339222.34110MIN: 2.31MIN: 2.31MIN: 2.31MIN: 2.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUabcd0.33470.66941.00411.33881.6735SE +/- 0.00176, N = 31.483851.484961.487521.48153MIN: 1.47MIN: 1.47MIN: 1.48MIN: 1.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUabcd140280420560700SE +/- 1.22, N = 3633.91635.30624.14634.66MIN: 629.4MIN: 629.42MIN: 621.15MIN: 631.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUabcd30060090012001500SE +/- 2.80, N = 31236.291231.681228.251234.57MIN: 1232.2MIN: 1222.84MIN: 1224.56MIN: 12311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUabcd140280420560700SE +/- 2.14, N = 3632.07633.61628.31635.31MIN: 628.15MIN: 626.34MIN: 625.84MIN: 632.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256abcd7000M14000M21000M28000M35000M326317087103290739491032833153190329301274101. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512abcd2000M4000M6000M8000M10000M106384699601063583553010649075500106392313701. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096abcd120024003600480060005501.25508.45468.45500.81. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096abcd80K160K240K320K400K358677.5359044.2358701.3358447.11. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20abcd30000M60000M90000M120000M150000M1254886520101251274309601253385800401252770638501. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-128-GCMabcd20000M40000M60000M80000M100000M989600814409895833518098987719340990110304901. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-256-GCMabcd20000M40000M60000M80000M100000M924807869809251269263092479315690924791346501. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20-Poly1305abcd20000M40000M60000M80000M100000M894615022308958268839089478928250894884039301. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUabcd369121513.4113.3813.3313.391. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUabcd130260390520650595.55595.36597.20594.98MIN: 576.09 / MAX: 622.5MIN: 575.04 / MAX: 623.57MIN: 574.49 / MAX: 623.82MIN: 577.06 / MAX: 624.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUabcd2040608010094.2093.9594.2994.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUabcd2040608010084.8385.0784.7484.14MIN: 51.55 / MAX: 110.45MIN: 55.85 / MAX: 113.02MIN: 44.18 / MAX: 109.72MIN: 49.25 / MAX: 110.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUabcd2040608010094.0594.6693.7694.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUabcd2040608010084.9984.4385.2784.74MIN: 54.5 / MAX: 109.88MIN: 38.96 / MAX: 118.46MIN: 56.98 / MAX: 111.16MIN: 43.16 / MAX: 116.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUabcd20040060080010001034.251032.481032.001033.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUabcd2468107.717.737.737.72MIN: 4.99 / MAX: 14.68MIN: 4.78 / MAX: 16.94MIN: 4.84 / MAX: 13.08MIN: 4.51 / MAX: 13.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUabcd61218243025.5225.5625.5625.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUabcd70140210280350313.05312.53312.48313.25MIN: 299.21 / MAX: 324.17MIN: 300.51 / MAX: 321.6MIN: 296.91 / MAX: 323.74MIN: 299.83 / MAX: 323.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUabcd70014002100280035003070.773063.553067.523069.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUabcd0.56251.1251.68752.252.81252.492.502.502.49MIN: 1.35 / MAX: 6.3MIN: 1.34 / MAX: 9.48MIN: 1.34 / MAX: 9.59MIN: 1.35 / MAX: 9.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUabcd100200300400500439.75435.77437.76434.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUabcd51015202518.1618.3218.2418.36MIN: 9.71 / MAX: 27.64MIN: 12.74 / MAX: 30.01MIN: 12.24 / MAX: 26.29MIN: 9.65 / MAX: 27.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUabcd300600900120015001613.221617.791617.821619.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUabcd1.1072.2143.3214.4285.5354.924.914.904.90MIN: 2.75 / MAX: 10.58MIN: 2.77 / MAX: 14.1MIN: 2.76 / MAX: 13.8MIN: 2.75 / MAX: 9.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUabcd300600900120015001353.911352.891353.621351.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUabcd369121511.7911.8011.7911.81MIN: 6.37 / MAX: 23.3MIN: 7.57 / MAX: 15.99MIN: 6.2 / MAX: 21.55MIN: 6.78 / MAX: 18.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUabcd100020003000400050004527.764537.364512.344544.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUabcd0.7741.5482.3223.0963.873.443.433.443.42MIN: 1.95 / MAX: 10.99MIN: 1.96 / MAX: 8.28MIN: 1.94 / MAX: 11.06MIN: 1.94 / MAX: 6.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUabcd120240360480600524.58522.64532.94521.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUabcd4812162015.2315.2814.9915.32MIN: 11.89 / MAX: 21.11MIN: 9.17 / MAX: 19.71MIN: 11.64 / MAX: 20.21MIN: 12.62 / MAX: 211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUabcd306090120150130.05130.95130.06131.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUabcd142842567061.3860.9861.3860.94MIN: 46.13 / MAX: 71.27MIN: 27.92 / MAX: 70.86MIN: 44.4 / MAX: 70.65MIN: 46.99 / MAX: 72.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUabcd60012001800240030002608.392604.122609.572603.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUabcd2468106.106.116.106.11MIN: 3.19 / MAX: 11.01MIN: 3.19 / MAX: 13.98MIN: 3.18 / MAX: 11.91MIN: 3.18 / MAX: 11.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUabcd300600900120015001572.381587.741591.841572.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUabcd1.13852.2773.41554.5545.69255.065.025.005.06MIN: 3.62 / MAX: 13.34MIN: 3.6 / MAX: 10.68MIN: 3.63 / MAX: 11.88MIN: 3.24 / MAX: 9.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUabcd160320480640800739.56731.42733.81733.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUabcd51015202521.6121.8521.7721.79MIN: 15.02 / MAX: 30.51MIN: 14.62 / MAX: 38.4MIN: 17.91 / MAX: 28.95MIN: 14.67 / MAX: 31.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcd7K14K21K28K35K33511.7933483.5333482.5433491.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcd0.09680.19360.29040.38720.4840.430.430.430.43MIN: 0.22 / MAX: 4.2MIN: 0.22 / MAX: 4.19MIN: 0.22 / MAX: 7.73MIN: 0.22 / MAX: 5.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUabcd130260390520650584.10585.55587.47579.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUabcd61218243027.3627.2927.2127.57MIN: 19.64 / MAX: 35.39MIN: 21.85 / MAX: 35.83MIN: 22.22 / MAX: 34.96MIN: 20.3 / MAX: 33.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcd10K20K30K40K50K47376.5947316.1747255.3647453.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcd0.06750.1350.20250.270.33750.290.290.300.29MIN: 0.17 / MAX: 7.87MIN: 0.17 / MAX: 7.59MIN: 0.17 / MAX: 7.08MIN: 0.17 / MAX: 7.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCabcd130260390520650SE +/- 0.00, N = 3603603604603MIN: 46 / MAX: 8290MIN: 46 / MAX: 8279MIN: 46 / MAX: 8291MIN: 46 / MAX: 8277

OpenVKL

Benchmark: vklBenchmarkCPU Scalar

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalarabcd50100150200250SE +/- 0.67, N = 3242242242241MIN: 17 / MAX: 4418MIN: 16 / MAX: 4422MIN: 17 / MAX: 4423MIN: 16 / MAX: 4419

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabcd9001800270036004500SE +/- 3.51, N = 34251426742394251

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabcd9001800270036004500SE +/- 4.41, N = 34303432343164297

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabcd11002200330044005500SE +/- 4.26, N = 35025502750355042

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabcd16K32K48K64K80KSE +/- 88.19, N = 371605723467259071802

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabcd30K60K90K120K150KSE +/- 200.00, N = 3139956140342140119139631

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabcd16K32K48K64K80KSE +/- 124.54, N = 373112728157288872762

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabcd30K60K90K120K150KSE +/- 201.33, N = 3141550141773141698141360

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabcd20K40K60K80K100KSE +/- 192.43, N = 384397846608478684573

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabcd40K80K120K160K200KSE +/- 70.29, N = 3165253165034164625164645

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabcd2004006008001000SE +/- 0.58, N = 31069106910691068

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabcd2004006008001000SE +/- 0.58, N = 31083108310831085

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabcd30060090012001500SE +/- 2.65, N = 31267126612651264

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabcd4K8K12K16K20KSE +/- 12.41, N = 317116171161709717075

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabcd8K16K24K32K40KSE +/- 262.57, N = 338499382793844838512

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabcd4K8K12K16K20KSE +/- 12.45, N = 317266173161723517289

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabcd8K16K24K32K40KSE +/- 34.12, N = 338852387403879839062

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabcd4K8K12K16K20KSE +/- 20.65, N = 320148202262018620139

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabcd10K20K30K40K50KSE +/- 116.17, N = 344670444374468244177

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50abcd163248648069.4170.3969.0568.99MIN: 64.47 / MAX: 71.04MIN: 65.98 / MAX: 71.59MIN: 64.46 / MAX: 70.37MIN: 65.18 / MAX: 70.36

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152abcd71421283526.9926.7327.0227.63MIN: 25.92 / MAX: 27.21MIN: 25.73 / MAX: 27.4MIN: 26.41 / MAX: 27.29MIN: 26.37 / MAX: 27.91

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50abcd112233445545.7046.7345.9445.16MIN: 43.16 / MAX: 46.31MIN: 43.51 / MAX: 47.16MIN: 36.22 / MAX: 46.45MIN: 42.72 / MAX: 46.38

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50abcd112233445544.9745.9845.9147.70MIN: 42.18 / MAX: 46.53MIN: 43.4 / MAX: 46.68MIN: 41.91 / MAX: 46.67MIN: 44.77 / MAX: 48.1

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50abcd112233445545.4547.0146.1045.43MIN: 34.94 / MAX: 45.89MIN: 42.75 / MAX: 47.57MIN: 35.44 / MAX: 46.83MIN: 43.43 / MAX: 46.04

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152abcd4812162018.1318.0218.0318.02MIN: 17.59 / MAX: 18.32MIN: 17.53 / MAX: 18.23MIN: 17.54 / MAX: 18.23MIN: 17.66 / MAX: 18.18

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50abcd112233445545.0946.2946.1647.06MIN: 43.25 / MAX: 45.61MIN: 42.39 / MAX: 46.81MIN: 42.11 / MAX: 46.89MIN: 42.87 / MAX: 47.87

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152abcd4812162018.0418.0618.0518.14MIN: 17.52 / MAX: 18.19MIN: 17.57 / MAX: 18.26MIN: 17.55 / MAX: 18.12MIN: 17.74 / MAX: 18.22

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50abcd112233445546.3146.3646.4146.93MIN: 43.53 / MAX: 47.23MIN: 42.96 / MAX: 47.26MIN: 43.7 / MAX: 46.95MIN: 44.02 / MAX: 47.5

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152abcd4812162017.8018.0717.7518.19MIN: 17.33 / MAX: 18.03MIN: 16.99 / MAX: 18.18MIN: 17.45 / MAX: 17.89MIN: 17.82 / MAX: 18.26

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152abcd4812162017.9618.1118.1118.19MIN: 17.36 / MAX: 18.16MIN: 17.67 / MAX: 18.23MIN: 17.68 / MAX: 18.22MIN: 14.43 / MAX: 18.68

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152abcd51015202518.3017.8118.1617.95MIN: 17.67 / MAX: 18.39MIN: 17.54 / MAX: 18.01MIN: 17.66 / MAX: 18.27MIN: 17.53 / MAX: 18.17

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_labcd4812162014.2014.1214.0114.25MIN: 14.07 / MAX: 14.34MIN: 13.18 / MAX: 14.23MIN: 13.86 / MAX: 14.16MIN: 14.08 / MAX: 14.36

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_labcd369121510.6210.8610.7210.97MIN: 9.39 / MAX: 10.82MIN: 9.5 / MAX: 11.07MIN: 9.34 / MAX: 10.88MIN: 9.39 / MAX: 11.28

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_labcd369121510.8110.8910.8710.92MIN: 9.24 / MAX: 10.96MIN: 9.54 / MAX: 11.07MIN: 9.55 / MAX: 11.02MIN: 9.26 / MAX: 11.09

PyTorch

Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_labcd369121510.8610.9310.8210.90MIN: 9.49 / MAX: 11MIN: 8.84 / MAX: 11.11MIN: 9.26 / MAX: 10.96MIN: 9.57 / MAX: 11.05

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_labcd369121510.8410.9310.8810.79MIN: 9.5 / MAX: 10.98MIN: 9.59 / MAX: 11.11MIN: 9.61 / MAX: 11.08MIN: 9.49 / MAX: 10.96

PyTorch

Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_labcd369121510.9311.0410.8510.94MIN: 9.18 / MAX: 11.07MIN: 9.87 / MAX: 11.21MIN: 9.35 / MAX: 11.06MIN: 9.62 / MAX: 11.08

QMCPACK

Input: H4_ae

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeabcd3691215SE +/- 0.09, N = 1512.1612.5112.6312.621. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: Li2_STO_ae

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeabcd306090120150SE +/- 1.12, N = 3135.60135.95135.60135.021. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: LiH_ae_MSD

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDabcd1632486480SE +/- 0.40, N = 373.4774.1073.6073.491. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: simple-H2O

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2Oabcd510152025SE +/- 0.03, N = 318.2418.4318.3918.301. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: O_ae_pyscf_UHF

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFabcd306090120150SE +/- 1.01, N = 3132.77131.36129.98129.651. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: FeCO6_b3lyp_gms

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmsabcd306090120150SE +/- 0.20, N = 3125.46125.49124.98125.131. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-Threadedabcd20K40K60K80K100KSE +/- 83.63, N = 382133.582020.081958.082159.41. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Single-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-Threadedabcd9001800270036004500SE +/- 9.84, N = 33980.34042.64025.44033.01. (CXX) g++ options: -O3 -march=native -fPIE -pie

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compileabcd510152025SE +/- 0.01, N = 321.9121.9021.9222.01

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compileabcd60120180240300SE +/- 3.14, N = 3284.15283.22284.04288.16

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Defaultabcd48121620SE +/- 0.18, N = 313.5113.0513.3813.711. (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 7abcd0.0720.1440.2160.2880.36SE +/- 0.00, N = 30.310.310.320.311. (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 7abcd0.03380.06760.10140.13520.169SE +/- 0.00, N = 30.150.150.150.151. (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 5abcd246810SE +/- 0.01, N = 38.738.738.728.751. (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 Compressionabcd0.00680.01360.02040.02720.034SE +/- 0.00, N = 30.030.030.030.031. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Phoronix Test Suite v10.8.5