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&sor&grt.

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_bmbacd714212835SE +/- 0.08, N = 331.7931.8432.0232.061. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16cbda30060090012001500SE +/- 0.59, N = 31494.531495.651496.301496.781. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortdabc4080120160200SE +/- 0.02, N = 3175.86175.91175.92175.921. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Cpuminer-Opt

Algorithm: Magi

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Magiacdb140280420560700SE +/- 0.61, N = 3640.30636.52635.79635.661. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: scrypt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: scryptdcba70140210280350SE +/- 0.25, N = 3305.36305.22304.62304.461. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Deepcoincadb2K4K6K8K10KSE +/- 21.85, N = 37982.947978.247973.877965.211. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Ringcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Ringcoinacbd7001400210028003500SE +/- 2.45, N = 33455.063367.453355.733350.861. (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 Sdcab30K60K90K120K150KSE +/- 3.33, N = 31352001348001346601341771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Garlicoindacb400800120016002000SE +/- 2.78, N = 31844.591796.711783.941783.761. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Skeincoindbac7K14K21K28K35KSE +/- 5.77, N = 3344703444034440344301. (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-Groestlbacd2K4K6K8K10KSE +/- 50.00, N = 3114901144011400113901. (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 Creditsacbd3K6K9K12K15KSE +/- 3.33, N = 3158501579015783157801. (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, Pyritebcad13K26K39K52K65KSE +/- 16.67, N = 3621276208062080620501. (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, Onecoinbcad20K40K60K80K100KSE +/- 3.33, N = 31058971058901058801058601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Jythoncdba9001800270036004500SE +/- 38.35, N = 34081413641474258

DaCapo Benchmark

Java Test: Eclipse

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Eclipsecdba2K4K6K8K10KSE +/- 58.05, N = 37747777378727923

DaCapo Benchmark

Java Test: GraphChi

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: GraphChiabdc5001000150020002500SE +/- 9.87, N = 32328238323872411

DaCapo Benchmark

Java Test: Tradesoap

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradesoapcbda6001200180024003000SE +/- 19.80, N = 32699271427782808

DaCapo Benchmark

Java Test: Tradebeans

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradebeanscbad8001600240032004000SE +/- 47.36, N = 33824386539123920

DaCapo Benchmark

Java Test: Spring Boot

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Spring Bootacdb400800120016002000SE +/- 9.84, N = 31523162216571660

DaCapo Benchmark

Java Test: Apache Kafka

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Kafkabdac11002200330044005500SE +/- 0.88, N = 35091509450955098

DaCapo Benchmark

Java Test: Apache Tomcat

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Tomcatbadc7001400210028003500SE +/- 3.51, N = 33424343234373438

DaCapo Benchmark

Java Test: jMonkeyEngine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: jMonkeyEnginecabd15003000450060007500SE +/- 0.88, N = 36811681268156815

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 XSLTbdac110220330440550SE +/- 1.00, N = 3522524526528

DaCapo Benchmark

Java Test: Batik SVG Toolkit

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Batik SVG Toolkitcbda2004006008001000SE +/- 15.43, N = 31086109211011104

DaCapo Benchmark

Java Test: H2 Database Engine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database Enginecbad400800120016002000SE +/- 9.96, N = 31840185318551859

DaCapo Benchmark

Java Test: FOP Print Formatter

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: FOP Print Formatterabdc100200300400500SE +/- 7.98, N = 15414417430455

DaCapo Benchmark

Java Test: PMD Source Code Analyzer

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: PMD Source Code Analyzerbdca30060090012001500SE +/- 5.04, N = 31176118612071244

DaCapo Benchmark

Java Test: Apache Lucene Search Index

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search Indexdcba6001200180024003000SE +/- 6.81, N = 32683268927982842

DaCapo Benchmark

Java Test: Apache Lucene Search Engine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search Enginecdba30060090012001500SE +/- 10.95, N = 91295130113201331

DaCapo Benchmark

Java Test: Avrora AVR Simulation Framework

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Avrora AVR Simulation Frameworkdabc6001200180024003000SE +/- 25.80, N = 152537254828012838

DaCapo Benchmark

Java Test: BioJava Biological Data Framework

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: BioJava Biological Data Frameworkcdba11002200330044005500SE +/- 70.68, N = 34794493049354946

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Zxing 1D/2D Barcode Image Processingcdab130260390520650SE +/- 8.14, N = 3606611612616

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 Learningcabd6001200180024003000SE +/- 1.45, N = 32591259225952709

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240bdca0.48330.96661.44991.93322.4165SE +/- 0.004, N = 32.0892.0902.1012.1481. (CXX) g++ options: -O3 -fopenmp

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200dcba20406080100SE +/- 0.33, N = 380.1080.8781.0381.631. (CXX) g++ options: -O3 -fopenmp

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crowndabc714212835SE +/- 0.06, N = 330.5130.5030.4530.39MIN: 30.28 / MAX: 31.02MIN: 30.29 / MAX: 31MIN: 30.1 / MAX: 31.05MIN: 30.17 / MAX: 30.88

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownbadc714212835SE +/- 0.04, N = 331.9731.9231.8531.70MIN: 31.62 / MAX: 32.67MIN: 31.66 / MAX: 32.67MIN: 31.57 / MAX: 32.5MIN: 31.4 / MAX: 32.36

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 Objacdb612182430SE +/- 0.04, N = 327.5827.5427.5327.52MIN: 27.4 / MAX: 28.05MIN: 27.35 / MAX: 27.99MIN: 27.38 / MAX: 27.96MIN: 27.3 / MAX: 28.13

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonabdc816243240SE +/- 0.07, N = 333.7833.7333.7233.65MIN: 33.54 / MAX: 34.43MIN: 33.38 / MAX: 34.7MIN: 33.46 / MAX: 34.55MIN: 33.44 / MAX: 34.17

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objbdca714212835SE +/- 0.05, N = 328.7128.7028.6428.61MIN: 28.44 / MAX: 29.67MIN: 28.49 / MAX: 29.4MIN: 28.43 / MAX: 29.3MIN: 28.41 / MAX: 29.24

FFmpeg

Encoder: libx264 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Livecabd60120180240300SE +/- 1.97, N = 3284.24282.96282.92276.551. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Livebcad4080120160200SE +/- 0.76, N = 3180.06180.02179.55179.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx264 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Uploadacbd48121620SE +/- 0.14, N = 316.9016.8116.6716.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Uploaddabc816243240SE +/- 0.08, N = 333.5733.5433.5333.461. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx264 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Platformabdc1428425670SE +/- 0.08, N = 363.9863.8563.7563.691. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Platformdabc1530456075SE +/- 0.09, N = 368.6368.3968.3668.291. (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 Demanddacb1428425670SE +/- 0.11, N = 364.2664.1664.1463.781. (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 Demanddbac1530456075SE +/- 0.07, N = 368.7168.5768.4868.141. (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-Onlydcba0.18230.36460.54690.72920.9115SE +/- 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-Onlydcba0.18230.36460.54690.72920.9115SE +/- 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-Onlydcba0.08780.17560.26340.35120.439SE +/- 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: CPUacdb0.43670.87341.31011.74682.1835SE +/- 0.02190, N = 31.893791.925661.935181.94087MIN: 1.7MIN: 1.71MIN: 1.72MIN: 1.731. (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: CPUacbd0.63421.26841.90262.53683.171SE +/- 0.01747, N = 32.801832.803772.817372.81873MIN: 2.76MIN: 2.76MIN: 2.75MIN: 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: CPUbdac0.12030.24060.36090.48120.6015SE +/- 0.010372, N = 150.4987410.5205750.5236590.534576MIN: 0.39MIN: 0.43MIN: 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: CPUcdab0.06280.12560.18840.25120.314SE +/- 0.003205, N = 130.2487880.2569620.2629560.279128MIN: 0.24MIN: 0.24MIN: 0.25MIN: 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: CPUbadc0.15650.3130.46950.6260.7825SE +/- 0.002235, N = 30.6931230.6942960.6951710.695339MIN: 0.64MIN: 0.65MIN: 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: CPUdcba0.27840.55680.83521.11361.392SE +/- 0.01251, N = 51.176681.183721.185581.23712MIN: 1.1MIN: 1.11MIN: 1.08MIN: 1.171. (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: CPUcabd0.90971.81942.72913.63884.5485SE +/- 0.00942, N = 34.011144.017814.034184.04319MIN: 3.96MIN: 3.96MIN: 3.94MIN: 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: CPUadcb0.67751.3552.03252.713.3875SE +/- 0.00759, N = 32.985362.987853.009063.01099MIN: 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: CPUcbda0.58481.16961.75442.33922.924SE +/- 0.00014, N = 32.598352.598382.598862.59896MIN: 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: CPUbcda0.84781.69562.54343.39124.239SE +/- 0.01733, N = 33.716503.727813.761923.76779MIN: 3.63MIN: 3.66MIN: 3.67MIN: 3.681. (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: CPUadcb0.10270.20540.30810.41080.5135SE +/- 0.000061, N = 30.4555310.4555530.4562500.456347MIN: 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: CPUdcba0.14570.29140.43710.58280.7285SE +/- 0.000222, N = 30.6452310.6462230.6468660.647550MIN: 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: CPUdabc30060090012001500SE +/- 0.51, N = 31224.001227.581229.801234.14MIN: 1220.91MIN: 1224.62MIN: 1224.55MIN: 1229.871. (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: CPUadcb140280420560700SE +/- 0.32, N = 3620.71625.50632.39636.50MIN: 617.84MIN: 622.67MIN: 629.36MIN: 632.821. (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: CPUdacb30060090012001500SE +/- 0.95, N = 31224.111231.931236.281236.68MIN: 1220.23MIN: 1227.81MIN: 1233.21MIN: 1230.731. (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: CPUabdc0.24740.49480.74220.98961.237SE +/- 0.00130, N = 31.094251.097601.097821.09942MIN: 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: CPUcdba0.52721.05441.58162.10882.636SE +/- 0.00064, N = 32.339222.341102.341252.34329MIN: 2.31MIN: 2.3MIN: 2.31MIN: 2.311. (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: CPUdabc0.33470.66941.00411.33881.6735SE +/- 0.00176, N = 31.481531.483851.484961.48752MIN: 1.47MIN: 1.47MIN: 1.47MIN: 1.481. (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: CPUcadb140280420560700SE +/- 1.22, N = 3624.14633.91634.66635.30MIN: 621.15MIN: 629.4MIN: 631.75MIN: 629.421. (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: CPUcbda30060090012001500SE +/- 2.80, N = 31228.251231.681234.571236.29MIN: 1224.56MIN: 1222.84MIN: 1231MIN: 1232.21. (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: CPUcabd140280420560700SE +/- 2.14, N = 3628.31632.07633.61635.31MIN: 625.84MIN: 628.15MIN: 626.34MIN: 632.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256dbca7000M14000M21000M28000M35000M329301274103290739491032833153190326317087101. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512cdab2000M4000M6000M8000M10000M106490755001063923137010638469960106358355301. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096badc120024003600480060005508.45501.25500.85468.41. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096bcad80K160K240K320K400K359044.2358701.3358677.5358447.11. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20acdb30000M60000M90000M120000M150000M1254886520101253385800401252770638501251274309601. 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-GCMdcab20000M40000M60000M80000M100000M990110304909898771934098960081440989583351801. 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-GCMbacd20000M40000M60000M80000M100000M925126926309248078698092479315690924791346501. 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-Poly1305bdca20000M40000M60000M80000M100000M895826883908948840393089478928250894615022301. 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: CPUadbc369121513.4113.3913.3813.331. (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: CPUdbac130260390520650594.98595.36595.55597.20MIN: 577.06 / MAX: 624.47MIN: 575.04 / MAX: 623.57MIN: 576.09 / MAX: 622.5MIN: 574.49 / MAX: 623.821. (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: CPUdcab2040608010094.9994.2994.2093.951. (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: CPUdcab2040608010084.1484.7484.8385.07MIN: 49.25 / MAX: 110.52MIN: 44.18 / MAX: 109.72MIN: 51.55 / MAX: 110.45MIN: 55.85 / MAX: 113.021. (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: CPUbdac2040608010094.6694.2894.0593.761. (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: CPUbdac2040608010084.4384.7484.9985.27MIN: 38.96 / MAX: 118.46MIN: 43.16 / MAX: 116.66MIN: 54.5 / MAX: 109.88MIN: 56.98 / MAX: 111.161. (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: CPUadbc20040060080010001034.251033.331032.481032.001. (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: CPUadbc2468107.717.727.737.73MIN: 4.99 / MAX: 14.68MIN: 4.51 / MAX: 13.75MIN: 4.78 / MAX: 16.94MIN: 4.84 / MAX: 13.081. (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: CPUcbad61218243025.5625.5625.5225.501. (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: CPUcbad70140210280350312.48312.53313.05313.25MIN: 296.91 / MAX: 323.74MIN: 300.51 / MAX: 321.6MIN: 299.21 / MAX: 324.17MIN: 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: CPUadcb70014002100280035003070.773069.353067.523063.551. (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: CPUadbc0.56251.1251.68752.252.81252.492.492.502.50MIN: 1.35 / MAX: 6.3MIN: 1.35 / MAX: 9.24MIN: 1.34 / MAX: 9.48MIN: 1.34 / MAX: 9.591. (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: CPUacbd100200300400500439.75437.76435.77434.981. (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: CPUacbd51015202518.1618.2418.3218.36MIN: 9.71 / MAX: 27.64MIN: 12.24 / MAX: 26.29MIN: 12.74 / MAX: 30.01MIN: 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: CPUdcba300600900120015001619.161617.821617.791613.221. (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: CPUcdba1.1072.2143.3214.4285.5354.904.904.914.92MIN: 2.76 / MAX: 13.8MIN: 2.75 / MAX: 9.12MIN: 2.77 / MAX: 14.1MIN: 2.75 / MAX: 10.581. (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: CPUacbd300600900120015001353.911353.621352.891351.171. (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: CPUacbd369121511.7911.7911.8011.81MIN: 6.37 / MAX: 23.3MIN: 6.2 / MAX: 21.55MIN: 7.57 / MAX: 15.99MIN: 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: CPUdbac100020003000400050004544.574537.364527.764512.341. (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: CPUdbac0.7741.5482.3223.0963.873.423.433.443.44MIN: 1.94 / MAX: 6.89MIN: 1.96 / MAX: 8.28MIN: 1.95 / MAX: 10.99MIN: 1.94 / MAX: 11.061. (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: CPUcabd120240360480600532.94524.58522.64521.461. (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: CPUcabd4812162014.9915.2315.2815.32MIN: 11.64 / MAX: 20.21MIN: 11.89 / MAX: 21.11MIN: 9.17 / MAX: 19.71MIN: 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: CPUdbca306090120150131.09130.95130.06130.051. (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: CPUdbac142842567060.9460.9861.3861.38MIN: 46.99 / MAX: 72.58MIN: 27.92 / MAX: 70.86MIN: 46.13 / MAX: 71.27MIN: 44.4 / MAX: 70.651. (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: CPUcabd60012001800240030002609.572608.392604.122603.351. (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: CPUacbd2468106.106.106.116.11MIN: 3.19 / MAX: 11.01MIN: 3.18 / MAX: 11.91MIN: 3.19 / MAX: 13.98MIN: 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: CPUcbda300600900120015001591.841587.741572.561572.381. (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: CPUcbad1.13852.2773.41554.5545.69255.005.025.065.06MIN: 3.63 / MAX: 11.88MIN: 3.6 / MAX: 10.68MIN: 3.62 / MAX: 13.34MIN: 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: CPUacdb160320480640800739.56733.81733.36731.421. (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: CPUacdb51015202521.6121.7721.7921.85MIN: 15.02 / MAX: 30.51MIN: 17.91 / MAX: 28.95MIN: 14.67 / MAX: 31.51MIN: 14.62 / MAX: 38.41. (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: CPUadbc7K14K21K28K35K33511.7933491.8333483.5333482.541. (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: CPUcbad130260390520650587.47585.55584.10579.561. (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: CPUcbad61218243027.2127.2927.3627.57MIN: 22.22 / MAX: 34.96MIN: 21.85 / MAX: 35.83MIN: 19.64 / MAX: 35.39MIN: 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: CPUdabc10K20K30K40K50K47453.4347376.5947316.1747255.361. (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: CPUabdc0.06750.1350.20250.270.33750.290.290.290.30MIN: 0.17 / MAX: 7.87MIN: 0.17 / MAX: 7.59MIN: 0.17 / MAX: 7.66MIN: 0.17 / MAX: 7.081. (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 ISPCcdba130260390520650SE +/- 0.00, N = 3604603603603MIN: 46 / MAX: 8291MIN: 46 / MAX: 8277MIN: 46 / MAX: 8279MIN: 46 / MAX: 8290

OpenVKL

Benchmark: vklBenchmarkCPU Scalar

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalarcbad50100150200250SE +/- 0.67, N = 3242242242241MIN: 17 / MAX: 4423MIN: 16 / MAX: 4422MIN: 17 / MAX: 4418MIN: 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: CPUcadb9001800270036004500SE +/- 3.51, N = 34239425142514267

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: CPUdacb9001800270036004500SE +/- 4.41, N = 34297430343164323

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: CPUadbc16K32K48K64K80KSE +/- 88.19, N = 371605718027234672590

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: CPUdacb30K60K90K120K150KSE +/- 200.00, N = 3139631139956140119140342

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: CPUdbca16K32K48K64K80KSE +/- 124.54, N = 372762728157288873112

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: CPUdacb30K60K90K120K150KSE +/- 201.33, N = 3141360141550141698141773

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: CPUadbc20K40K60K80K100KSE +/- 192.43, N = 384397845738466084786

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: CPUcdba40K80K120K160K200KSE +/- 70.29, N = 3164625164645165034165253

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: CPUdabc2004006008001000SE +/- 0.58, N = 31068106910691069

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: CPUdcba30060090012001500SE +/- 2.65, N = 31264126512661267

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: CPUdcab4K8K12K16K20KSE +/- 12.41, N = 317075170971711617116

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: CPUbcad8K16K24K32K40KSE +/- 262.57, N = 338279384483849938512

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: CPUcadb4K8K12K16K20KSE +/- 12.45, N = 317235172661728917316

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: CPUbcad8K16K24K32K40KSE +/- 34.12, N = 338740387983885239062

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: CPUdacb4K8K12K16K20KSE +/- 20.65, N = 320139201482018620226

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: CPUdbac10K20K30K40K50KSE +/- 116.17, N = 344177444374467044682

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50bacd163248648070.3969.4169.0568.99MIN: 65.98 / MAX: 71.59MIN: 64.47 / MAX: 71.04MIN: 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-152dcab71421283527.6327.0226.9926.73MIN: 26.37 / MAX: 27.91MIN: 26.41 / MAX: 27.29MIN: 25.92 / MAX: 27.21MIN: 25.73 / MAX: 27.4

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50bcad112233445546.7345.9445.7045.16MIN: 43.51 / MAX: 47.16MIN: 36.22 / MAX: 46.45MIN: 43.16 / MAX: 46.31MIN: 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-50dbca112233445547.7045.9845.9144.97MIN: 44.77 / MAX: 48.1MIN: 43.4 / MAX: 46.68MIN: 41.91 / MAX: 46.67MIN: 42.18 / MAX: 46.53

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50bcad112233445547.0146.1045.4545.43MIN: 42.75 / MAX: 47.57MIN: 35.44 / MAX: 46.83MIN: 34.94 / MAX: 45.89MIN: 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-152acdb4812162018.1318.0318.0218.02MIN: 17.59 / MAX: 18.32MIN: 17.54 / MAX: 18.23MIN: 17.66 / MAX: 18.18MIN: 17.53 / MAX: 18.23

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50dbca112233445547.0646.2946.1645.09MIN: 42.87 / MAX: 47.87MIN: 42.39 / MAX: 46.81MIN: 42.11 / MAX: 46.89MIN: 43.25 / MAX: 45.61

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152dbca4812162018.1418.0618.0518.04MIN: 17.74 / MAX: 18.22MIN: 17.57 / MAX: 18.26MIN: 17.55 / MAX: 18.12MIN: 17.52 / MAX: 18.19

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50dcba112233445546.9346.4146.3646.31MIN: 44.02 / MAX: 47.5MIN: 43.7 / MAX: 46.95MIN: 42.96 / MAX: 47.26MIN: 43.53 / MAX: 47.23

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152dbac4812162018.1918.0717.8017.75MIN: 17.82 / MAX: 18.26MIN: 16.99 / MAX: 18.18MIN: 17.33 / MAX: 18.03MIN: 17.45 / MAX: 17.89

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152dcba4812162018.1918.1118.1117.96MIN: 14.43 / MAX: 18.68MIN: 17.68 / MAX: 18.22MIN: 17.67 / MAX: 18.23MIN: 17.36 / MAX: 18.16

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152acdb51015202518.3018.1617.9517.81MIN: 17.67 / MAX: 18.39MIN: 17.66 / MAX: 18.27MIN: 17.53 / MAX: 18.17MIN: 17.54 / MAX: 18.01

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_ldabc4812162014.2514.2014.1214.01MIN: 14.08 / MAX: 14.36MIN: 14.07 / MAX: 14.34MIN: 13.18 / MAX: 14.23MIN: 13.86 / MAX: 14.16

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_ldbca369121510.9710.8610.7210.62MIN: 9.39 / MAX: 11.28MIN: 9.5 / MAX: 11.07MIN: 9.34 / MAX: 10.88MIN: 9.39 / MAX: 10.82

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_ldbca369121510.9210.8910.8710.81MIN: 9.26 / MAX: 11.09MIN: 9.54 / MAX: 11.07MIN: 9.55 / MAX: 11.02MIN: 9.24 / MAX: 10.96

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_lbdac369121510.9310.9010.8610.82MIN: 8.84 / MAX: 11.11MIN: 9.57 / MAX: 11.05MIN: 9.49 / MAX: 11MIN: 9.26 / MAX: 10.96

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_lbcad369121510.9310.8810.8410.79MIN: 9.59 / MAX: 11.11MIN: 9.61 / MAX: 11.08MIN: 9.5 / MAX: 10.98MIN: 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_lbdac369121511.0410.9410.9310.85MIN: 9.87 / MAX: 11.21MIN: 9.62 / MAX: 11.08MIN: 9.18 / MAX: 11.07MIN: 9.35 / MAX: 11.06

QMCPACK

Input: H4_ae

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeabdc3691215SE +/- 0.09, N = 1512.1612.5112.6212.631. (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_aedacb306090120150SE +/- 1.12, N = 3135.02135.60135.60135.951. (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_MSDadcb1632486480SE +/- 0.40, N = 373.4773.4973.6074.101. (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-H2Oadcb510152025SE +/- 0.03, N = 318.2418.3018.3918.431. (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_UHFdcba306090120150SE +/- 1.01, N = 3129.65129.98131.36132.771. (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_gmscdab306090120150SE +/- 0.20, N = 3124.98125.13125.46125.491. (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-Threadeddabc20K40K60K80K100KSE +/- 83.63, N = 382159.482133.582020.081958.01. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Single-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-Threadedbdca9001800270036004500SE +/- 9.84, N = 34042.64033.04025.43980.31. (CXX) g++ options: -O3 -march=native -fPIE -pie

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compilebacd510152025SE +/- 0.01, N = 321.9021.9121.9222.01

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compilebcad60120180240300SE +/- 3.14, N = 3283.22284.04284.15288.16

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Defaultdacb48121620SE +/- 0.18, N = 313.7113.5113.3813.051. (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 7cdba0.0720.1440.2160.2880.36SE +/- 0.00, N = 30.320.310.310.311. (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 7dcba0.03380.06760.10140.13520.169SE +/- 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 5dbac246810SE +/- 0.01, N = 38.758.738.738.721. (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 Compressiondcba0.00680.01360.02040.02720.034SE +/- 0.00, N = 30.030.030.030.031. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Phoronix Test Suite v10.8.5