AMD 3D V-Cache Comparison

Tests for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2204297-NE-CC929132156&grr.

AMD 3D V-Cache ComparisonProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionDisplay DriverRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900KAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS)AMD Starship/Matisse32GB1000GB Sabrent Rocket 4.0 1TBAMD Radeon RX 6800 16GB (2475/1000MHz)AMD Navi 21 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.045.17.4-051704-generic (x86_64)GNOME Shell 42.0X Server + Wayland4.6 Mesa 22.2.0-devel (git-092ac67 2022-04-21 jammy-oibaf-ppa) (LLVM 14.0.0 DRM 3.44)1.3.211GCC 11.2.0ext43840x2160AMD Ryzen 7 5800X3D 8-Core @ 3.40GHz (8 Cores / 16 Threads)ASRock X570 Pro4 (P4.30 BIOS)16GBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)ASUS VP28UIntel I211AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (3904 BIOS)NVIDIA NV134 8GBNVIDIA GP104 HD AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211nouveau4.3 Mesa 22.2.0-devel (git-092ac67 2022-04-21 jammy-oibaf-ppa)Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1003 BIOS)Intel Device 7aa732GBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)Intel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX4114.6 Mesa 22.2.0-devel (git-092ac67 2022-04-21 jammy-oibaf-ppa) (LLVM 14.0.0 DRM 3.44)OpenBenchmarking.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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Ryzen 9 5950X: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201016- Ryzen 7 5800X3D: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201205- Ryzen 7 5800X: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201016- Ryzen 9 5900X: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201016- Core i9 12900K: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x18 - Thermald 2.4.9Python Details- Python 3.10.4Security Details- Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 5800X3D: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 5800X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i9 12900K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD 3D V-Cache Comparisonopenfoam: Motorbike 60Mopm-git: Flow MPI Extra - 1lczero: Eigenopm-git: Flow MPI Extra - 8opm-git: Flow MPI Extra - 2opm-git: Flow MPI Extra - 4webp2: Quality 100, Lossless Compressionopm-git: Flow MPI Norne-4C MSW - 8opm-git: Flow MPI Norne-4C MSW - 1opm-git: Flow MPI Norne-4C MSW - 2opm-git: Flow MPI Norne - 8opm-git: Flow MPI Norne-4C MSW - 4onnx: yolov4 - CPU - Standardlczero: BLASecp-candle: P3B1webp2: Quality 95, Compression Effort 7opm-git: Flow MPI Norne - 1opm-git: Flow MPI Norne - 4ecp-candle: P3B2onnx: ArcFace ResNet-100 - CPU - Standardonnx: GPT-2 - CPU - Standardopm-git: Flow MPI Norne - 2onnx: fcn-resnet101-11 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: super-resolution-10 - CPU - Standardncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetincompact3d: input.i3d 193 Cells Per Directiontnn: CPU - DenseNetcaffe: GoogleNet - CPU - 200numpy: webp2: Quality 75, Compression Effort 7onnx: super-resolution-10 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingopenfoam: Motorbike 30Mcaffe: GoogleNet - CPU - 100onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUmlpack: scikit_qdaonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3onednn: Deconvolution Batch shapes_1d - f32 - CPUmlpack: scikit_linearridgeregressioncaffe: AlexNet - CPU - 200askap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingmlpack: scikit_icacaffe: AlexNet - CPU - 100onednn: IP Shapes 1D - u8s8f32 - CPUincompact3d: input.i3d 129 Cells Per Directionaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUtnn: CPU - MobileNet v2mlpack: scikit_svmtnn: CPU - SqueezeNet v1.1askap: Hogbom Clean OpenMPonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUwebp2: Quality 100, Compression Effort 5tnn: CPU - SqueezeNet v2ecp-candle: P1B2onednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUwebp2: DefaultRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1382.541074.33684808.05712.62690.62536.767575.13569.14441.07357.86377.034876681309.594234.927270.81232.61654.35316687062203.899880061699.6114.5520.4924.4011.0814.2856.5512.921.805.233.874.163.774.2912.27156.1625262425.594193710591.54110.284643688553415402965541346.57784.50798.44966241820.402750.182703.332745.4455.061814.131783.8525.7262.6393.2755.23120.5153.9882.3914.755331.69733526728.096643.6441.77366580.82300933.94812143214.582755.721.069263.89647224.26416.56213.323220.03616.705118.03217.796520.4760973.24950.94031.3923.626091.618992.1651090.21997.341160781.98672.48643.96864.935581.46476.91403.35361.91357.3357212541023.315376.956224.10223.97553.74519398826187.4910782241075.1812.4414.8018.139.6210.2742.607.311.063.012.012.111.902.137.62126.8610332609.843162022603.09178.013460672691912233085181594.95930.57480.29808621385.792691.242683.162691.6738.271382.161387.8623.1931.6761.8314.21316.3562.5901.0827.276231.63604948746.526453.2234.88302221.2378527.18149768741.66946.111.776412.89717233.17916.17222.332527.72312.622710.38006.557650.6047805.16953.22129.9925.571092.483933.1701270.721154.098541027.17799.40829.49974.591733.91601.31511.31447.63454.344318671158.674420.032281.47275.40390.26910426832234.634955736285.9316.7619.7820.2211.8313.0255.9710.221.223.602.242.352.282.6111.63141.2109543016.479179146491.56199.645410367562111072734801471.58854.707177.60898251847.703065.263053.303055.8452.571859.141864.5425.6921.8161.9424.53618.4422.8051.1568.342031.82676614256.053976.3039.16339051.4072837.21053443367.671709.252.036003.29136272.03720.29266.187221.73218.753516.35348.935521.457525.87563.60534.8416.370232.839133.6191277.551073.71886810.33713.34691.38614.812581.35572.60441.14361.84378.335399541174.469268.612273.89233.63667.28215197862203.9811594975458.4313.5120.6321.2110.0112.5050.7511.441.634.773.443.883.463.9111.42144.4737502563.757178725605.17129.733559185568714212995401541.67837.94496.16894921776.192904.332873.452908.2851.391785.051742.0623.6924.0722.9754.75824.4993.3941.8385.386891.58686768258.027668.0539.37343291.00694132.15362933732.722936.851.300493.44548224.19916.15213.776238.66716.139816.73827.548430.5197333.70950.85230.2414.387731.997422.439487.801053.382161891.78717.04671.56476.451825.56537.38475.95515.71451.006932201429.61215.582247.89280.851503.264197511082223.2010198847477.3913.2715.8616.847.589.6628.249.941.465.343.103.102.903.4111.1155.60967131792.972134045665.34101.568451611180883626299193872.032721.1584.47678331617.102881.322881.722881.1027.311613.811616.0624.3012.8912.414.15123.0852.4051.1748.737501.60517134472.734198.5132.93255901.0520014.55304507793.774631.821.352122.63611170.58310.54133.970540.5415.875366.002143.446430.8120472.93638.91520.9415.253942.223362.062OpenBenchmarking.org

OpenFOAM

Input: Motorbike 60M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K30060090012001500SE +/- 0.26, N = 3SE +/- 1.12, N = 3SE +/- 0.23, N = 3SE +/- 0.77, N = 3SE +/- 0.14, N = 31382.541090.211270.721277.55487.80-lfoamToVTK -llagrangian -lfileFormats1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

Open Porous Media Git

OPM Benchmark: Flow MPI Extra - Threads: 1

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Extra - Threads: 1Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 3.75, N = 3SE +/- 2.03, N = 3SE +/- 5.46, N = 3SE +/- 4.75, N = 3SE +/- 2.12, N = 31074.33997.341154.091073.711053.381. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K5001000150020002500SE +/- 7.32, N = 9SE +/- 8.89, N = 3SE +/- 8.85, N = 9SE +/- 7.53, N = 9SE +/- 19.84, N = 7684116085488621611. (CXX) g++ options: -flto -pthread

Open Porous Media Git

OPM Benchmark: Flow MPI Extra - Threads: 8

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Extra - Threads: 8Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 0.30, N = 3SE +/- 1.20, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 0.86, N = 3808.05781.981027.17810.33891.781. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

Open Porous Media Git

OPM Benchmark: Flow MPI Extra - Threads: 2

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Extra - Threads: 2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 1.57, N = 3SE +/- 0.69, N = 3SE +/- 2.38, N = 3SE +/- 1.56, N = 3SE +/- 0.67, N = 3712.62672.48799.40713.34717.041. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

Open Porous Media Git

OPM Benchmark: Flow MPI Extra - Threads: 4

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Extra - Threads: 4Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 0.65, N = 3SE +/- 0.34, N = 3SE +/- 0.80, N = 3SE +/- 0.23, N = 3SE +/- 0.81, N = 3690.62643.96829.49691.38671.561. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 100, Lossless CompressionRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 2.59, N = 3SE +/- 2.17, N = 3SE +/- 1.21, N = 3SE +/- 4.10, N = 3SE +/- 0.96, N = 3536.77864.94974.59614.81476.451. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Open Porous Media Git

OPM Benchmark: Flow MPI Norne-4C MSW - Threads: 8

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne-4C MSW - Threads: 8Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 0.32, N = 3SE +/- 0.28, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3SE +/- 0.65, N = 3575.13581.46733.91581.35825.561. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

Open Porous Media Git

OPM Benchmark: Flow MPI Norne-4C MSW - Threads: 1

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne-4C MSW - Threads: 1Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K130260390520650SE +/- 2.73, N = 3SE +/- 0.27, N = 3SE +/- 1.44, N = 3SE +/- 0.96, N = 3SE +/- 1.75, N = 3569.14476.91601.31572.60537.381. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

Open Porous Media Git

OPM Benchmark: Flow MPI Norne-4C MSW - Threads: 2

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne-4C MSW - Threads: 2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K110220330440550SE +/- 0.66, N = 3SE +/- 0.45, N = 3SE +/- 0.29, N = 3SE +/- 0.35, N = 3SE +/- 0.98, N = 3441.07403.35511.31441.14475.951. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

Open Porous Media Git

OPM Benchmark: Flow MPI Norne - Threads: 8

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne - Threads: 8Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K110220330440550SE +/- 0.16, N = 3SE +/- 0.25, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.26, N = 3357.86361.91447.63361.84515.711. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

Open Porous Media Git

OPM Benchmark: Flow MPI Norne-4C MSW - Threads: 4

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne-4C MSW - Threads: 4Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K100200300400500SE +/- 0.39, N = 3SE +/- 0.21, N = 3SE +/- 0.49, N = 3SE +/- 0.78, N = 3SE +/- 0.53, N = 3377.03357.33454.34378.33451.001. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K150300450600750SE +/- 17.40, N = 9SE +/- 42.62, N = 12SE +/- 28.87, N = 12SE +/- 17.59, N = 12SE +/- 1.42, N = 34875724315396931. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K5001000150020002500SE +/- 2.73, N = 3SE +/- 6.08, N = 3SE +/- 6.36, N = 3SE +/- 11.02, N = 3SE +/- 22.18, N = 3668125486795422011. (CXX) g++ options: -flto -pthread

ECP-CANDLE

Benchmark: P3B1

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P3B1Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K300600900120015001309.591023.321158.671174.47429.61

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 95, Compression Effort 7Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K90180270360450SE +/- 1.17, N = 3SE +/- 0.77, N = 3SE +/- 1.68, N = 3SE +/- 0.76, N = 3SE +/- 0.51, N = 3234.93376.96420.03268.61215.581. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Open Porous Media Git

OPM Benchmark: Flow MPI Norne - Threads: 1

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne - Threads: 1Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K60120180240300SE +/- 1.36, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3270.81224.10281.47273.89247.891. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

Open Porous Media Git

OPM Benchmark: Flow MPI Norne - Threads: 4

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne - Threads: 4Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K60120180240300SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.28, N = 3232.61223.97275.40233.63280.851. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

ECP-CANDLE

Benchmark: P3B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P3B2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K30060090012001500654.35553.75390.27667.281503.26

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K400800120016002000SE +/- 46.80, N = 9SE +/- 3.42, N = 3SE +/- 1.33, N = 3SE +/- 45.67, N = 12SE +/- 0.67, N = 3166819391042151919751. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2K4K6K8K10KSE +/- 58.87, N = 8SE +/- 14.95, N = 3SE +/- 104.18, N = 12SE +/- 10.85, N = 3SE +/- 20.71, N = 37062882668327862110821. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

Open Porous Media Git

OPM Benchmark: Flow MPI Norne - Threads: 2

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous Media GitOPM Benchmark: Flow MPI Norne - Threads: 2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K50100150200250SE +/- 0.42, N = 3SE +/- 0.14, N = 3SE +/- 0.53, N = 3SE +/- 0.16, N = 3SE +/- 0.42, N = 3203.89187.49234.63203.98223.201. (CXX) g++ options: -pipe -pthread -fopenmp -O3 -mtune=native -UNDEBUG -lm -ldl -lrt2. Ryzen 9 5950X: Build Time Mon Apr 25 06:10:54 PM EDT 20223. Ryzen 7 5800X3D: Build Time Mon Apr 25 06:10:54 PM EDT 20224. Ryzen 7 5800X: Build Time Mon Apr 25 06:10:54 PM EDT 20225. Ryzen 9 5900X: Build Time Mon Apr 25 06:10:54 PM EDT 20226. Core i9 12900K: Build Time Thu Apr 28 06:45:36 PM EDT 2022

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K306090120150SE +/- 4.73, N = 12SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.44, N = 3SE +/- 0.00, N = 398107491151011. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 1.20, N = 3SE +/- 57.02, N = 12SE +/- 0.17, N = 3SE +/- 4.80, N = 3SE +/- 0.76, N = 38008225579499881. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K16003200480064008000SE +/- 21.53, N = 3SE +/- 11.77, N = 3SE +/- 10.27, N = 3SE +/- 318.33, N = 12SE +/- 10.33, N = 3616941073628754547471. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K3691215SE +/- 0.08, N = 4SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.22, N = 159.615.185.938.437.39MIN: 9.37 / MAX: 11.03MIN: 5.07 / MAX: 12.17MIN: 5.83 / MAX: 7.68MIN: 8.36 / MAX: 8.75MIN: 6.17 / MAX: 27.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K48121620SE +/- 0.09, N = 4SE +/- 0.05, N = 15SE +/- 0.06, N = 15SE +/- 0.02, N = 3SE +/- 0.17, N = 1514.5512.4416.7613.5113.27MIN: 13.65 / MAX: 21.26MIN: 12.03 / MAX: 14.14MIN: 16.11 / MAX: 23.01MIN: 13.16 / MAX: 20.71MIN: 12.19 / MAX: 43.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinyRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K510152025SE +/- 0.32, N = 4SE +/- 0.19, N = 15SE +/- 0.21, N = 15SE +/- 0.40, N = 3SE +/- 0.33, N = 1520.4914.8019.7820.6315.86MIN: 19.6 / MAX: 21.74MIN: 14 / MAX: 16.98MIN: 18.64 / MAX: 21.1MIN: 19.48 / MAX: 21.6MIN: 14.24 / MAX: 211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K612182430SE +/- 0.34, N = 4SE +/- 0.09, N = 15SE +/- 0.07, N = 15SE +/- 0.04, N = 3SE +/- 0.07, N = 1524.4018.1320.2221.2116.84MIN: 23.71 / MAX: 27.09MIN: 17.64 / MAX: 24.72MIN: 19.74 / MAX: 28.22MIN: 20.94 / MAX: 23.21MIN: 16.32 / MAX: 21.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K3691215SE +/- 0.13, N = 4SE +/- 0.03, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.05, N = 1511.089.6211.8310.017.58MIN: 10.7 / MAX: 12.6MIN: 8.9 / MAX: 11.14MIN: 11.63 / MAX: 18.46MIN: 9.92 / MAX: 12.23MIN: 7.18 / MAX: 9.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K48121620SE +/- 0.17, N = 4SE +/- 0.05, N = 15SE +/- 0.03, N = 15SE +/- 0.05, N = 3SE +/- 0.15, N = 1514.2810.2713.0212.509.66MIN: 13.94 / MAX: 16.83MIN: 9.71 / MAX: 12.09MIN: 12.77 / MAX: 32.91MIN: 12.28 / MAX: 12.82MIN: 7.55 / MAX: 14.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1326395265SE +/- 0.08, N = 4SE +/- 0.13, N = 15SE +/- 0.07, N = 15SE +/- 0.09, N = 3SE +/- 0.48, N = 1556.5542.6055.9750.7528.24MIN: 55.53 / MAX: 62.98MIN: 41.52 / MAX: 50.92MIN: 54.91 / MAX: 64.62MIN: 49.97 / MAX: 60.2MIN: 25.72 / MAX: 45.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K3691215SE +/- 0.28, N = 4SE +/- 0.05, N = 15SE +/- 0.02, N = 15SE +/- 0.02, N = 3SE +/- 0.21, N = 1512.927.3110.2211.449.94MIN: 12.09 / MAX: 15.32MIN: 7.05 / MAX: 14.4MIN: 9.79 / MAX: 18.21MIN: 11.28 / MAX: 11.82MIN: 7.91 / MAX: 14.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.4050.811.2151.622.025SE +/- 0.02, N = 4SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.00, N = 3SE +/- 0.05, N = 151.801.061.221.631.46MIN: 1.75 / MAX: 2.15MIN: 1.04 / MAX: 4.31MIN: 1.19 / MAX: 2.1MIN: 1.61 / MAX: 1.81MIN: 1.15 / MAX: 2.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1.20152.4033.60454.8066.0075SE +/- 0.06, N = 4SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.11, N = 155.233.013.604.775.34MIN: 5.09 / MAX: 6.68MIN: 2.93 / MAX: 13.07MIN: 3.53 / MAX: 5.22MIN: 4.7 / MAX: 5MIN: 4.35 / MAX: 9.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.87081.74162.61243.48324.354SE +/- 0.05, N = 4SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.07, N = 153.872.012.243.443.10MIN: 3.76 / MAX: 10.7MIN: 1.97 / MAX: 2.76MIN: 2.2 / MAX: 3.68MIN: 3.39 / MAX: 3.72MIN: 2.66 / MAX: 4.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.9361.8722.8083.7444.68SE +/- 0.01, N = 4SE +/- 0.01, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.08, N = 144.162.112.353.883.10MIN: 4.05 / MAX: 4.9MIN: 2.07 / MAX: 3MIN: 2.31 / MAX: 3.74MIN: 3.82 / MAX: 4.06MIN: 2.68 / MAX: 4.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.84831.69662.54493.39324.2415SE +/- 0.00, N = 4SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.06, N = 153.771.902.283.462.90MIN: 3.7 / MAX: 4.73MIN: 1.84 / MAX: 2.38MIN: 2.22 / MAX: 3.92MIN: 3.39 / MAX: 3.66MIN: 2.53 / MAX: 4.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.96531.93062.89593.86124.8265SE +/- 0.01, N = 4SE +/- 0.00, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.12, N = 154.292.132.613.913.41MIN: 4.15 / MAX: 7.55MIN: 2.03 / MAX: 2.88MIN: 2.54 / MAX: 3.77MIN: 3.82 / MAX: 4.11MIN: 2.72 / MAX: 5.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenetRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K3691215SE +/- 0.15, N = 4SE +/- 0.08, N = 15SE +/- 0.13, N = 15SE +/- 0.01, N = 3SE +/- 0.26, N = 1512.277.6211.6311.4211.11MIN: 11.71 / MAX: 18.81MIN: 7.25 / MAX: 9.92MIN: 11.06 / MAX: 12.93MIN: 11.16 / MAX: 18.48MIN: 8.87 / MAX: 13.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K306090120150SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 1.17, N = 9SE +/- 0.05, N = 3SE +/- 0.58, N = 3156.16126.86141.21144.4755.611. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

TNN

Target: CPU - Model: DenseNet

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K6001200180024003000SE +/- 10.08, N = 3SE +/- 1.54, N = 3SE +/- 0.87, N = 3SE +/- 3.11, N = 3SE +/- 1.88, N = 32425.592609.843016.482563.761792.97MIN: 2339.59 / MAX: 2518.62MIN: 2559.5 / MAX: 2657.73MIN: 2943.1 / MAX: 3087.97MIN: 2481.34 / MAX: 2640.2MIN: 1751.55 / MAX: 1868.311. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K40K80K120K160K200KSE +/- 215.28, N = 3SE +/- 248.50, N = 3SE +/- 39.00, N = 3SE +/- 46.44, N = 3SE +/- 116.45, N = 31937101620221791461787251340451. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K140280420560700SE +/- 0.86, N = 3SE +/- 1.21, N = 3SE +/- 0.43, N = 3SE +/- 8.26, N = 3SE +/- 0.68, N = 3591.54603.09491.56605.17665.34

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 75, Compression Effort 7Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K4080120160200SE +/- 1.48, N = 3SE +/- 0.62, N = 3SE +/- 0.74, N = 3SE +/- 0.51, N = 3SE +/- 0.23, N = 3110.28178.01199.65129.73101.571. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K14002800420056007000SE +/- 22.98, N = 3SE +/- 15.67, N = 3SE +/- 10.11, N = 3SE +/- 5.61, N = 3SE +/- 46.82, N = 4643646064103559145161. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K20406080100SE +/- 0.33, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 0.00, N = 3SE +/- 0.44, N = 3887267851111. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2K4K6K8K10KSE +/- 11.18, N = 3SE +/- 5.78, N = 3SE +/- 8.85, N = 3SE +/- 11.00, N = 3SE +/- 20.34, N = 3553469195621568780881. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K30060090012001500SE +/- 8.09, N = 3SE +/- 3.51, N = 3SE +/- 4.25, N = 3SE +/- 1.17, N = 3SE +/- 0.17, N = 315401223110714213621. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K140280420560700SE +/- 0.44, N = 3SE +/- 0.60, N = 3SE +/- 0.44, N = 3SE +/- 0.33, N = 3SE +/- 1.09, N = 32963082732996291. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2004006008001000SE +/- 0.29, N = 3SE +/- 1.17, N = 3SE +/- 0.29, N = 3SE +/- 0.60, N = 3SE +/- 11.29, N = 35545184805409191. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ASKAP

Test: tConvolve MT - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K8001600240032004000SE +/- 0.92, N = 3SE +/- 1.83, N = 3SE +/- 5.57, N = 3SE +/- 3.45, N = 3SE +/- 2.07, N = 31346.571594.951471.581541.673872.031. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K6001200180024003000SE +/- 1.65, N = 3SE +/- 2.64, N = 3SE +/- 2.02, N = 3SE +/- 0.90, N = 3SE +/- 2.70, N = 3784.51930.57854.71837.942721.151. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenFOAM

Input: Motorbike 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K4080120160200SE +/- 0.24, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 398.4480.29177.6096.1684.47-lfoamToVTK -llagrangian -lfileFormats1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K20K40K60K80K100KSE +/- 34.42, N = 3SE +/- 158.22, N = 3SE +/- 34.64, N = 3SE +/- 260.55, N = 3SE +/- 741.46, N = 496624808628982589492678331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K400800120016002000SE +/- 19.76, N = 5SE +/- 1.81, N = 3SE +/- 9.79, N = 3SE +/- 5.06, N = 3SE +/- 2.95, N = 31820.401385.791847.701776.191617.10-lpthread - MIN: 1761.07-lpthread - MIN: 1375.42-lpthread - MIN: 1820.32-lpthread - MIN: 1756.45MIN: 1608.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K7001400210028003500SE +/- 26.41, N = 3SE +/- 2.34, N = 3SE +/- 1.56, N = 3SE +/- 32.41, N = 3SE +/- 0.76, N = 32750.182691.243065.262904.332881.32-lpthread - MIN: 2685.91-lpthread - MIN: 2678.39-lpthread - MIN: 3058.73-lpthread - MIN: 2837.45MIN: 2872.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K7001400210028003500SE +/- 10.92, N = 3SE +/- 5.12, N = 3SE +/- 2.27, N = 3SE +/- 23.67, N = 3SE +/- 0.27, N = 32703.332683.163053.302873.452881.72-lpthread - MIN: 2665.5-lpthread - MIN: 2665.66-lpthread - MIN: 3045.76-lpthread - MIN: 2830.55MIN: 2874.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K7001400210028003500SE +/- 23.91, N = 3SE +/- 1.77, N = 3SE +/- 0.89, N = 3SE +/- 15.10, N = 3SE +/- 1.61, N = 32745.442691.673055.842908.282881.10-lpthread - MIN: 2684.63-lpthread - MIN: 2680.17-lpthread - MIN: 3050.91-lpthread - MIN: 2862.45MIN: 2869.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1224364860SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.34, N = 3SE +/- 0.13, N = 355.0638.2752.5751.3927.31

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K400800120016002000SE +/- 8.84, N = 3SE +/- 2.31, N = 3SE +/- 5.60, N = 3SE +/- 8.68, N = 3SE +/- 0.28, N = 31814.131382.161859.141785.051613.81-lpthread - MIN: 1783.13-lpthread - MIN: 1372.35-lpthread - MIN: 1846.97-lpthread - MIN: 1762.05MIN: 1608.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K400800120016002000SE +/- 22.20, N = 3SE +/- 0.61, N = 3SE +/- 4.89, N = 3SE +/- 13.72, N = 3SE +/- 1.95, N = 31783.851387.861864.541742.061616.06-lpthread - MIN: 1730.18-lpthread - MIN: 1380.9-lpthread - MIN: 1851.66-lpthread - MIN: 1715.13MIN: 1608.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K612182430SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.37, N = 3SE +/- 0.66, N = 325.7323.1925.6923.6924.30MIN: 25.09 / MAX: 33.94MIN: 22.93 / MAX: 31MIN: 25.45 / MAX: 31.44MIN: 22.99 / MAX: 31.36MIN: 22.9 / MAX: 36.091. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.91621.83242.74863.66484.581SE +/- 0.067, N = 3SE +/- 0.010, N = 3SE +/- 0.011, N = 3SE +/- 0.037, N = 3SE +/- 0.008, N = 32.6391.6761.8164.0722.891MIN: 2.52 / MAX: 11.27MIN: 1.63 / MAX: 2.97MIN: 1.79 / MAX: 3.08MIN: 3.95 / MAX: 4.31MIN: 2.85 / MAX: 8.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.73691.47382.21072.94763.6845SE +/- 0.014, N = 3SE +/- 0.011, N = 3SE +/- 0.029, N = 3SE +/- 0.045, N = 3SE +/- 0.020, N = 33.2751.8311.9422.9752.410MIN: 3.21 / MAX: 10.86MIN: 1.79 / MAX: 2.92MIN: 1.9 / MAX: 3.6MIN: 2.88 / MAX: 3.44MIN: 2.36 / MAX: 3.861. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1.1772.3543.5314.7085.885SE +/- 0.113, N = 3SE +/- 0.010, N = 3SE +/- 0.032, N = 3SE +/- 0.058, N = 3SE +/- 0.177, N = 35.2314.2134.5364.7584.151MIN: 4.95 / MAX: 6.51MIN: 4.16 / MAX: 5.46MIN: 4.47 / MAX: 5.71MIN: 4.59 / MAX: 12.51MIN: 3.91 / MAX: 6.321. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K612182430SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 1.14, N = 320.5216.3618.4424.5023.09MIN: 19.84 / MAX: 24.05MIN: 16 / MAX: 24.17MIN: 18.25 / MAX: 25.86MIN: 23.86 / MAX: 52.44MIN: 21.7 / MAX: 30.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.89731.79462.69193.58924.4865SE +/- 0.098, N = 3SE +/- 0.006, N = 3SE +/- 0.017, N = 3SE +/- 0.098, N = 3SE +/- 0.049, N = 33.9882.5902.8053.3942.405MIN: 3.72 / MAX: 4.79MIN: 2.55 / MAX: 4.48MIN: 2.76 / MAX: 10.42MIN: 3.15 / MAX: 4.21MIN: 2.33 / MAX: 3.561. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.5381.0761.6142.1522.69SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 32.3911.0821.1561.8381.174MIN: 1.87 / MAX: 3.85MIN: 1.06 / MAX: 2.25MIN: 1.14 / MAX: 1.73MIN: 1.79 / MAX: 2.07MIN: 1.15 / MAX: 2.061. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K246810SE +/- 0.22726, N = 15SE +/- 0.06264, N = 3SE +/- 0.11645, N = 15SE +/- 0.07639, N = 3SE +/- 0.16860, N = 124.755337.276238.342035.386898.73750-lpthread - MIN: 3.38-lpthread - MIN: 5.11-lpthread - MIN: 5.88-lpthread - MIN: 4MIN: 4.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.40950.8191.22851.6382.0475SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 7SE +/- 0.00, N = 3SE +/- 0.05, N = 121.691.631.821.581.60

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K16K32K48K64K80KSE +/- 178.17, N = 3SE +/- 94.00, N = 3SE +/- 49.12, N = 3SE +/- 57.49, N = 3SE +/- 323.04, N = 373352604946766168676517131. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2K4K6K8K10KSE +/- 0.00, N = 3SE +/- 45.52, N = 3SE +/- 58.16, N = 3SE +/- 12.67, N = 36728.098746.524256.058258.024472.731. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K16003200480064008000SE +/- 48.56, N = 3SE +/- 53.33, N = 3SE +/- 34.79, N = 3SE +/- 49.47, N = 3SE +/- 19.39, N = 36643.646453.223976.307668.054198.511. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1020304050SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 341.7734.8839.1639.3732.93

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K8K16K24K32K40KSE +/- 30.55, N = 3SE +/- 24.84, N = 3SE +/- 7.06, N = 3SE +/- 38.11, N = 3SE +/- 17.32, N = 336658302223390534329255901. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.31660.63320.94981.26641.583SE +/- 0.006926, N = 15SE +/- 0.001247, N = 4SE +/- 0.000645, N = 4SE +/- 0.007658, N = 4SE +/- 0.008609, N = 40.8230091.2378501.4072801.0069411.052000-lpthread - MIN: 0.7-lpthread - MIN: 1.21-lpthread - MIN: 1.39-lpthread - MIN: 0.94MIN: 1.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K918273645SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.32, N = 3SE +/- 0.01, N = 433.9527.1837.2132.1514.551. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K2K4K6K8K10KSE +/- 11.91, N = 6SE +/- 38.17, N = 15SE +/- 6.53, N = 15SE +/- 10.98, N = 6SE +/- 37.29, N = 63214.588741.603367.673732.727793.771. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve OpenMP - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K15003000450060007500SE +/- 27.21, N = 6SE +/- 78.12, N = 15SE +/- 14.53, N = 15SE +/- 10.74, N = 6SE +/- 34.51, N = 62755.726946.111709.252936.854631.821. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.45810.91621.37431.83242.2905SE +/- 0.00299, N = 3SE +/- 0.00274, N = 3SE +/- 0.00040, N = 3SE +/- 0.00489, N = 3SE +/- 0.00773, N = 31.069261.776412.036001.300491.35212-lpthread - MIN: 0.96-lpthread - MIN: 1.74-lpthread - MIN: 2.01-lpthread - MIN: 1.2MIN: 1.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.87671.75342.63013.50684.3835SE +/- 0.01755, N = 4SE +/- 0.00793, N = 4SE +/- 0.00733, N = 4SE +/- 0.02871, N = 4SE +/- 0.00329, N = 43.896472.897173.291363.445482.63611-lpthread - MIN: 3.66-lpthread - MIN: 2.81-lpthread - MIN: 3.12-lpthread - MIN: 3.05MIN: 2.51. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K60120180240300SE +/- 0.71, N = 4SE +/- 0.14, N = 4SE +/- 0.18, N = 3SE +/- 0.47, N = 4SE +/- 0.31, N = 4224.26233.18272.04224.20170.58MIN: 219.36 / MAX: 242.57MIN: 232.19 / MAX: 237.22MIN: 270.94 / MAX: 276.3MIN: 218.68 / MAX: 249.25MIN: 157.87 / MAX: 209.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 416.5616.1720.2916.1510.54

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K60120180240300SE +/- 1.16, N = 4SE +/- 0.03, N = 4SE +/- 0.18, N = 3SE +/- 1.66, N = 4SE +/- 0.06, N = 5213.32222.33266.19213.78133.97MIN: 209.34 / MAX: 215.21MIN: 222.15 / MAX: 222.66MIN: 265.87 / MAX: 266.68MIN: 210.63 / MAX: 219.97MIN: 133.46 / MAX: 134.811. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K120240360480600SE +/- 1.00, N = 4SE +/- 1.80, N = 4SE +/- 0.57, N = 3SE +/- 0.52, N = 4SE +/- 0.00, N = 5220.04527.72221.73238.67540.541. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K510152025SE +/- 0.00896, N = 7SE +/- 0.01917, N = 7SE +/- 0.12899, N = 7SE +/- 0.29208, N = 15SE +/- 0.00220, N = 716.7051012.6227018.7535016.139805.87536-lpthread - MIN: 16.31-lpthread - MIN: 12.28-lpthread - MIN: 18.34-lpthread - MIN: 15.35MIN: 5.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K48121620SE +/- 0.02368, N = 7SE +/- 0.04088, N = 7SE +/- 0.22593, N = 15SE +/- 0.04249, N = 7SE +/- 0.00249, N = 718.0321010.3800016.3534016.738206.00214-lpthread - MIN: 17.6-lpthread - MIN: 9.78-lpthread - MIN: 14.78-lpthread - MIN: 16.08MIN: 5.91. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K246810SE +/- 0.05069, N = 5SE +/- 0.01065, N = 5SE +/- 0.01310, N = 5SE +/- 0.02525, N = 5SE +/- 0.00441, N = 57.796526.557658.935527.548433.44643-lpthread - MIN: 7.29-lpthread - MIN: 6.32-lpthread - MIN: 8.33-lpthread - MIN: 7.29MIN: 3.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.32790.65580.98371.31161.6395SE +/- 0.002527, N = 5SE +/- 0.002108, N = 5SE +/- 0.002722, N = 5SE +/- 0.003942, N = 5SE +/- 0.002976, N = 50.4760970.6047801.4575200.5197330.812047-lpthread - MIN: 0.42-lpthread - MIN: 0.58-lpthread - MIN: 1.35-lpthread - MIN: 0.47MIN: 0.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 100, Compression Effort 5Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1.32192.64383.96575.28766.6095SE +/- 0.006, N = 9SE +/- 0.003, N = 7SE +/- 0.004, N = 7SE +/- 0.003, N = 8SE +/- 0.003, N = 93.2495.1695.8753.7092.9361. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

TNN

Target: CPU - Model: SqueezeNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K1428425670SE +/- 0.08, N = 9SE +/- 0.13, N = 9SE +/- 0.12, N = 8SE +/- 0.22, N = 9SE +/- 0.08, N = 1050.9453.2263.6150.8538.92MIN: 50.34 / MAX: 52.46MIN: 52.43 / MAX: 54.16MIN: 62.79 / MAX: 64.28MIN: 49.98 / MAX: 52.59MIN: 38.37 / MAX: 39.921. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

ECP-CANDLE

Benchmark: P1B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P1B2Ryzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K81624324031.3929.9934.8430.2420.94

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K246810SE +/- 0.00224, N = 9SE +/- 0.00483, N = 9SE +/- 0.00140, N = 9SE +/- 0.00484, N = 9SE +/- 0.00117, N = 93.626095.571096.370234.387735.25394-lpthread - MIN: 3.43-lpthread - MIN: 5.45-lpthread - MIN: 6.32-lpthread - MIN: 4.17MIN: 5.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.63881.27761.91642.55523.194SE +/- 0.00702, N = 9SE +/- 0.00503, N = 9SE +/- 0.00474, N = 9SE +/- 0.00298, N = 9SE +/- 0.00121, N = 91.618992.483932.839131.997422.22336-lpthread - MIN: 1.45-lpthread - MIN: 2.41-lpthread - MIN: 2.8-lpthread - MIN: 1.82MIN: 2.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: DefaultRyzen 9 5950XRyzen 7 5800X3DRyzen 7 5800XRyzen 9 5900XCore i9 12900K0.81431.62862.44293.25724.0715SE +/- 0.013, N = 10SE +/- 0.007, N = 9SE +/- 0.006, N = 8SE +/- 0.008, N = 10SE +/- 0.010, N = 112.1653.1703.6192.4392.0621. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Phoronix Test Suite v10.8.5