extra cpu tests

Intel Core i9-11900K testing with a ASUS ROG MAXIMUS XIII HERO (1402 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2209122-NE-EXTRACPUT57&grs&sor.

extra cpu testsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900KAMD Ryzen 7 5700G @ 4.67GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS)AMD Renoir/Cezanne32GB2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)AMD Starship/MatisseAMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS)Intel Device 7aa7Intel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Intel Core i5-12600K @ 4.90GHz (10 Cores / 16 Threads)Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads)ASUS ROG MAXIMUS XIII HERO (1402 BIOS)Intel Tiger Lake-HIntel Tiger Lake-H HD Audio2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseEnvironment Details- CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Ryzen 7 5700G: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa50000c- Ryzen 7 5800X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016- Ryzen 9 3900X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8701021- Ryzen 9 3950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8701021- Ryzen 9 5950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016- AMD 5950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016- Core i9 12900K: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x23 - Thermald 2.4.9- Core i5 12600K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x23 - Thermald 2.4.9- Core i9 11900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x53 - Thermald 2.4.9Python Details- Python 3.10.4Security Details- Ryzen 7 5700G: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 5800X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- AMD 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Core i9 12900K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- Core i5 12600K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- Core i9 11900K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

extra cpu testsopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUmnn: mobilenet-v1-1.0openvino: Face Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUnatron: Spaceshipmnn: MobileNetV2_224openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUmnn: mobilenetV3openvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUrocksdb: Rand Readmnn: nasnetopenvino: Vehicle Detection FP16-INT8 - CPUcompress-7zip: Decompression Ratingopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUmnn: squeezenetv1.1openvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUbrl-cad: VGR Performance Metricmnn: resnet-v2-50openvino: Person Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUcompress-7zip: Compression Ratingopenvino: Person Detection FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUrocksdb: Read While Writingopenvino: Face Detection FP16 - CPUmnn: SqueezeNetV1.0blender: BMW27 - CPU-Onlybuild-php: Time To Compileopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Face Detection FP16 - CPUblender: Barbershop - CPU-Onlyblender: Classroom - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyopenvino: Person Detection FP16 - CPUblender: Fishy Cat - CPU-Onlyopenvino: Person Detection FP32 - CPUrocksdb: Update Randrocksdb: Read Rand Write Randmnn: inception-v3couchdb: 100 - 1000 - 30webp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Defaultwebp2: Quality 100, Compression Effort 5webp: Quality 100webp: Quality 100, Lossless, Highest Compressionwebp: Defaultwebp: Quality 100, Losslesswebp: Quality 100, Highest Compressionencode-flac: WAV To FLACwebp2: Quality 100, Lossless CompressionRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K14.90730.58138.982.3475.4717.42536.552.92.4390.621.13028.7513.038.826306.65722286674.8023.112.532307.90229.3723.2641.431.19172.93703021.4312657.332.004.76070.35712.971992.302775.382765.9529.66413.54657.33196.761.5956.0814.29590.523.41.7240.540.88320.329.686.626412.78774629100.4528.672.031420.26279.6318.1181.800.88139.43790901.7814815.542.383.86557.4189.511668.032206.442228.9022.55328.441406.22175.555.8014.2518.67421.771.84.8260.932.37534.1516.8615.842355.688597310039.3929.734.606363.51321.0635.9042.071.19201.66867752.0512874.872.956.98557.47616.492017.292872.192887.4433.27827.471362.52206.463.2375.8420.45582.293.150.932.24638.7116.167558572015.03494.8412263312887.1937.574.343543.33390.8924920331.5322.351.23212.69917572.3717110.5832936803.356.99752.15414.72346.053345.243335.63618421226985534.48384.60316.75819.44236.052.4729.7218.19954.663.73.1290.661.98233.8511.7910.933677.8614225713205.4238.82.915619.79439.5126675221.8292.491.21206.08944782.4524162.823.735.08944.86412.892126.713177.963230.1525.78716.71820.04235.542.5029.7418.19957.13.83.4310.661.92533.9211.8210304888211.693676.4514175013202.0736.133.226617.73439.5126494822.3522.481.21221.12942522.4124180.3340330213.695.25945.03912.942145.243177.653267.99764612276490826.0169.37212.26389.94376.493.07915.3646.771299.075.32.5490.661.16915.928.191264289658.745731.929801610854.5952.673.032597.27341.5733438621.82.841.46113.721343522.7924283.383.754.29268.6739.8310.031591.25791.41196242.032082.3399.832102.26604284298909524.27765.72413.06389.11271.342.30610.1949.71759.883.92.0270.721.18414.738.26791419417.71483.95619825715.8435.582.257410.69200.8820871117.7651.861.68112.32931851.8613656.422021882.374.112106.8251.8329.731670.461235.98302.02374.462135.31153.912130.59598750203006724.63871.9220.160.078.484.3914.220.7921.861.994.3212.9630.026.45332.72101.292.0461225.571237.5622.2160.330.99739.466.74522721918.188592.28600579291.2833.912.27279.54312.5916333521.3531.760.85117.92682681.7623848.8921304802.914.111122.7861.26214.291368.851346.64329.47406.462258.23159.042250.75493414193092127.08374.0980.130.067.563.9513.170.7520.911.954.3912.7770.02OpenBenchmarking.org

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUCore i9 11900KCore i9 12900KCore i5 12600KRyzen 7 5800XRyzen 7 5700GAMD 5950XRyzen 9 5950XRyzen 9 3950XRyzen 9 3900X714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.4512.2613.0613.5414.9016.7116.7527.4728.44MIN: 3.62 / MAX: 30.17MIN: 9.88 / MAX: 17.42MIN: 10.18 / MAX: 16.8MIN: 7.08 / MAX: 22.51MIN: 7.33 / MAX: 25.89MIN: 8.06 / MAX: 24.96MIN: 11.09 / MAX: 21.33MIN: 18.76 / MAX: 35.74MIN: 14.9 / MAX: 78.521. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUCore i9 11900KCore i5 12600KCore i9 12900KRyzen 7 5800XRyzen 7 5700GRyzen 9 5950XAMD 5950XRyzen 9 3950XRyzen 9 3900X30060090012001500SE +/- 0.42, N = 3SE +/- 0.28, N = 3SE +/- 1.57, N = 3332.72389.11389.94657.33730.58819.44820.041362.521406.22MIN: 298.23 / MAX: 447.88MIN: 329.59 / MAX: 829MIN: 298.89 / MAX: 923.96MIN: 638.88 / MAX: 664.91MIN: 492.86 / MAX: 776.15MIN: 733.89 / MAX: 843.65MIN: 793.27 / MAX: 831.81MIN: 1339.1 / MAX: 1376.54MIN: 1307.87 / MAX: 1498.41. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUCore i9 12900KCore i5 12600KRyzen 9 5950XAMD 5950XRyzen 9 3950XRyzen 7 5800XRyzen 9 3900XRyzen 7 5700GCore i9 11900K80160240320400SE +/- 1.21, N = 3SE +/- 0.32, N = 3SE +/- 0.59, N = 3376.49271.34236.05235.54206.46196.76175.55138.98101.291. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0Ryzen 7 5800XCore i9 11900KCore i5 12600KRyzen 7 5700GRyzen 9 5950XAMD 5950XCore i9 12900KRyzen 9 3950XRyzen 9 3900X1.30522.61043.91565.22086.526SE +/- 0.007, N = 3SE +/- 0.015, N = 3SE +/- 0.039, N = 61.5952.0462.3062.3472.4722.5023.0793.2375.801MIN: 1.57 / MAX: 2.03MIN: 1.77 / MAX: 30.14MIN: 2.29 / MAX: 2.59MIN: 2.22 / MAX: 13.86MIN: 2.44 / MAX: 2.6MIN: 2.47 / MAX: 3.22MIN: 2.87 / MAX: 8.47MIN: 3.16 / MAX: 4.09MIN: 4.6 / MAX: 116.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950XRyzen 9 5950XRyzen 7 5800XRyzen 9 3950XRyzen 7 5700GRyzen 9 3900X48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 315.3612.0010.199.749.726.085.845.474.251. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPURyzen 7 5800XRyzen 7 5700GRyzen 9 5950XAMD 5950XRyzen 9 3900XRyzen 9 3950XCore i9 11900KCore i9 12900KCore i5 12600K1122334455SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 314.2917.4218.1918.1918.6720.4525.5746.7749.71MIN: 7.5 / MAX: 24.54MIN: 9.07 / MAX: 30.09MIN: 9.4 / MAX: 28.56MIN: 8.69 / MAX: 26.01MIN: 13.72 / MAX: 70.89MIN: 11.74 / MAX: 39.16MIN: 15.77 / MAX: 54.84MIN: 24.98 / MAX: 59.29MIN: 47.84 / MAX: 51.931. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUCore i9 12900KCore i9 11900KAMD 5950XRyzen 9 5950XCore i5 12600KRyzen 7 5800XRyzen 9 3950XRyzen 7 5700GRyzen 9 3900X30060090012001500SE +/- 0.42, N = 3SE +/- 0.36, N = 3SE +/- 0.21, N = 31299.071237.56957.10954.66759.88590.52582.29536.55421.771. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Natron

Input: Spaceship

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipCore i9 12900KCore i5 12600KAMD 5950XRyzen 9 5950XRyzen 7 5800XRyzen 9 3950XRyzen 7 5700GCore i9 11900KRyzen 9 3900X1.19252.3853.57754.775.9625SE +/- 0.03, N = 3SE +/- 0.02, N = 9SE +/- 0.00, N = 35.33.93.83.73.43.12.92.01.8

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224Ryzen 7 5800XCore i5 12600KCore i9 11900KRyzen 7 5700GCore i9 12900KRyzen 9 5950XAMD 5950XRyzen 9 3900XRyzen 9 3950X1.1252.253.3754.55.625SE +/- 0.018, N = 3SE +/- 0.041, N = 3SE +/- 0.055, N = 61.7242.0272.2162.4392.5493.1293.4314.8265.000MIN: 1.67 / MAX: 2.22MIN: 2.01 / MAX: 2.55MIN: 1.9 / MAX: 22.89MIN: 2.31 / MAX: 14.01MIN: 2.46 / MAX: 3.95MIN: 3.1 / MAX: 3.85MIN: 3.36 / MAX: 4.29MIN: 4.15 / MAX: 118.91MIN: 4.84 / MAX: 5.791. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i9 11900KRyzen 7 5800XRyzen 7 5700GRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KRyzen 9 3900XRyzen 9 3950X0.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.540.620.660.660.660.720.930.93MIN: 0.19 / MAX: 13.53MIN: 0.33 / MAX: 10.16MIN: 0.39 / MAX: 12.23MIN: 0.4 / MAX: 9.7MIN: 0.39 / MAX: 9.09MIN: 0.48 / MAX: 3.61MIN: 0.5 / MAX: 1.92MIN: 0.54 / MAX: 34.61MIN: 0.56 / MAX: 9.291. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3Ryzen 7 5800XCore i9 11900KRyzen 7 5700GCore i9 12900KCore i5 12600KAMD 5950XRyzen 9 5950XRyzen 9 3950XRyzen 9 3900X0.53441.06881.60322.13762.672SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 60.8830.9971.1301.1691.1841.9251.9822.2462.375MIN: 0.86 / MAX: 4.6MIN: 0.92 / MAX: 4.16MIN: 1.09 / MAX: 10.93MIN: 1.13 / MAX: 1.42MIN: 1.02 / MAX: 2.03MIN: 1.81 / MAX: 2.33MIN: 1.7 / MAX: 28.92MIN: 2.21 / MAX: 3.08MIN: 2.06 / MAX: 89.531. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUCore i5 12600KCore i9 12900KRyzen 7 5800XRyzen 7 5700GRyzen 9 5950XAMD 5950XRyzen 9 3900XRyzen 9 3950XCore i9 11900K918273645SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 314.7315.9220.3228.7533.8533.9234.1538.7139.46MIN: 12.62 / MAX: 22.93MIN: 12.39 / MAX: 29.4MIN: 12.41 / MAX: 37.85MIN: 10.6 / MAX: 50.31MIN: 24.98 / MAX: 49.81MIN: 20.26 / MAX: 49.04MIN: 12.29 / MAX: 77.76MIN: 13.3 / MAX: 56.5MIN: 23.24 / MAX: 99.411. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUCore i9 11900KCore i9 12900KCore i5 12600KRyzen 7 5800XRyzen 9 5950XAMD 5950XRyzen 7 5700GRyzen 9 3950XRyzen 9 3900X48121620SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 36.748.198.269.6811.7911.8213.0316.1616.86MIN: 3.45 / MAX: 23.72MIN: 6.68 / MAX: 25.81MIN: 7.26 / MAX: 19.99MIN: 5.23 / MAX: 19.09MIN: 7.87 / MAX: 21.31MIN: 6.54 / MAX: 21.16MIN: 6.64 / MAX: 25.26MIN: 9.15 / MAX: 68.05MIN: 10.76 / MAX: 72.481. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadCore i9 12900KAMD 5950XCore i5 12600KRyzen 9 3950XCore i9 11900K30M60M90M120M150M1264289651030488827914194175585720522721911. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetRyzen 7 5800XCore i5 12600KCore i9 11900KCore i9 12900KRyzen 7 5700GRyzen 9 5950XAMD 5950XRyzen 9 3950XRyzen 9 3900X48121620SE +/- 0.048, N = 3SE +/- 0.109, N = 3SE +/- 0.161, N = 66.6267.7108.1888.7458.82610.93311.69315.03015.842MIN: 6.48 / MAX: 7.43MIN: 7.66 / MAX: 9.88MIN: 7.22 / MAX: 33.83MIN: 8.71 / MAX: 9.32MIN: 8.52 / MAX: 21.27MIN: 10.69 / MAX: 11.64MIN: 11.35 / MAX: 20.19MIN: 14.83 / MAX: 22.29MIN: 13.21 / MAX: 143.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUCore i9 12900KRyzen 9 5950XAMD 5950XCore i9 11900KRyzen 9 3950XCore i5 12600KRyzen 7 5800XRyzen 9 3900XRyzen 7 5700G160320480640800SE +/- 0.90, N = 3SE +/- 0.10, N = 3SE +/- 3.62, N = 3731.92677.86676.45592.28494.84483.95412.78355.68306.651. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 9 5950XAMD 5950XRyzen 9 3950XCore i9 12900KRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i5 12600KCore i9 11900K30K60K90K120K150KSE +/- 341.93, N = 3SE +/- 194.98, N = 3SE +/- 179.27, N = 31422571417501226339801685973774627222861982600571. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 5950XAMD 5950XRyzen 9 3950XCore i9 12900KRyzen 9 3900XCore i9 11900KRyzen 7 5800XRyzen 7 5700GCore i5 12600K3K6K9K12K15KSE +/- 27.98, N = 3SE +/- 29.14, N = 3SE +/- 21.83, N = 313205.4213202.0712887.1910854.5910039.399291.289100.456674.805715.841. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUCore i9 12900KRyzen 9 5950XRyzen 9 3950XAMD 5950XCore i5 12600KCore i9 11900KRyzen 9 3900XRyzen 7 5800XRyzen 7 5700G1224364860SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 352.6738.8037.5736.1335.5833.9129.7328.6723.111. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1Ryzen 7 5800XCore i5 12600KCore i9 11900KRyzen 7 5700GRyzen 9 5950XCore i9 12900KAMD 5950XRyzen 9 3950XRyzen 9 3900X1.03642.07283.10924.14565.182SE +/- 0.016, N = 3SE +/- 0.022, N = 3SE +/- 0.068, N = 62.0312.2572.2702.5322.9153.0323.2264.3434.606MIN: 1.98 / MAX: 2.5MIN: 2.24 / MAX: 7.91MIN: 2.01 / MAX: 28.53MIN: 2.41 / MAX: 13.37MIN: 2.87 / MAX: 3.97MIN: 2.98 / MAX: 9.97MIN: 3.16 / MAX: 3.37MIN: 4.25 / MAX: 12.46MIN: 3.85 / MAX: 74.811. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 5950XAMD 5950XCore i9 12900KRyzen 9 3950XRyzen 7 5800XCore i5 12600KRyzen 9 3900XRyzen 7 5700GCore i9 11900K130260390520650SE +/- 0.78, N = 3SE +/- 0.84, N = 3SE +/- 1.36, N = 3619.79617.73597.27543.33420.26410.69363.51307.90279.541. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUAMD 5950XRyzen 9 5950XRyzen 9 3950XCore i9 12900KRyzen 9 3900XCore i9 11900KRyzen 7 5800XRyzen 7 5700GCore i5 12600K100200300400500SE +/- 0.67, N = 3SE +/- 0.44, N = 3SE +/- 0.03, N = 3439.51439.51390.89341.57321.06312.59279.63229.37200.881. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricCore i9 12900KRyzen 9 5950XAMD 5950XRyzen 9 3950XCore i5 12600KCore i9 11900K70K140K210K280K350K3343862667522649482492032087111633351. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50Core i5 12600KRyzen 7 5800XCore i9 11900KCore i9 12900KRyzen 9 5950XAMD 5950XRyzen 7 5700GRyzen 9 3950XRyzen 9 3900X816243240SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 617.7718.1221.3521.8021.8322.3523.2631.5335.90MIN: 17.7 / MAX: 23.7MIN: 17.75 / MAX: 27.22MIN: 19.55 / MAX: 59.02MIN: 21.56 / MAX: 33.15MIN: 21.52 / MAX: 28.17MIN: 21.91 / MAX: 28.8MIN: 22.08 / MAX: 79.53MIN: 29.78 / MAX: 38.82MIN: 30.4 / MAX: 162.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Meta Performance Per Watts

Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsAMD 5950XRyzen 9 3950XCore i5 12600KCore i9 11900K60K120K180K240K300K277082.43229081.17178.42154.97

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUCore i9 12900KRyzen 9 5950XAMD 5950XRyzen 9 3950XRyzen 9 3900XCore i5 12600KRyzen 7 5800XCore i9 11900KRyzen 7 5700G0.6391.2781.9172.5563.195SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.842.492.482.352.071.861.801.761.431. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i9 11900KRyzen 7 5800XRyzen 7 5700GRyzen 9 3900XRyzen 9 5950XAMD 5950XRyzen 9 3950XCore i9 12900KCore i5 12600K0.3780.7561.1341.5121.89SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.850.881.191.191.211.211.231.461.68MIN: 0.46 / MAX: 20.94MIN: 0.58 / MAX: 10.45MIN: 0.71 / MAX: 15.27MIN: 0.66 / MAX: 40MIN: 0.8 / MAX: 11.78MIN: 0.76 / MAX: 10.99MIN: 0.74 / MAX: 11.28MIN: 0.94 / MAX: 2.85MIN: 1.01 / MAX: 3.31. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUCore i5 12600KCore i9 12900KCore i9 11900KRyzen 7 5800XRyzen 7 5700GRyzen 9 3900XRyzen 9 5950XRyzen 9 3950XAMD 5950X50100150200250SE +/- 0.34, N = 3SE +/- 0.84, N = 3SE +/- 0.54, N = 3112.32113.72117.92139.43172.93201.66206.08212.69221.12MIN: 95.55 / MAX: 163.62MIN: 95.52 / MAX: 207.66MIN: 88.86 / MAX: 191.18MIN: 115.02 / MAX: 161.07MIN: 85.04 / MAX: 215.98MIN: 112.84 / MAX: 328.9MIN: 119.55 / MAX: 247.84MIN: 170.16 / MAX: 263.41MIN: 158.14 / MAX: 257.351. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingCore i9 12900KRyzen 9 5950XAMD 5950XCore i5 12600KRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 11900K30K60K90K120K150KSE +/- 164.88, N = 3SE +/- 72.51, N = 3SE +/- 72.13, N = 313435294478942529318591757867757909070302682681. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUCore i9 12900KRyzen 9 5950XAMD 5950XRyzen 9 3950XRyzen 9 3900XCore i5 12600KRyzen 7 5800XCore i9 11900KRyzen 7 5700G0.62781.25561.88342.51123.139SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.792.452.412.372.051.861.781.761.431. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i9 12900KAMD 5950XRyzen 9 5950XCore i9 11900KRyzen 9 3950XRyzen 7 5800XCore i5 12600KRyzen 9 3900XRyzen 7 5700G5K10K15K20K25KSE +/- 15.98, N = 3SE +/- 40.08, N = 3SE +/- 72.04, N = 324283.3824180.3324162.8223848.8917110.5814815.5413656.4012874.8712657.331. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingAMD 5950XRyzen 9 3950XCore i5 12600KCore i9 11900K900K1800K2700K3600K4500K40330213293680220218821304801. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUCore i9 12900KRyzen 9 5950XAMD 5950XRyzen 9 3950XRyzen 9 3900XCore i9 11900KRyzen 7 5800XCore i5 12600KRyzen 7 5700G0.84381.68762.53143.37524.219SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 33.753.733.693.352.952.912.382.372.001. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0Ryzen 7 5800XCore i9 11900KCore i5 12600KCore i9 12900KRyzen 7 5700GRyzen 9 5950XAMD 5950XRyzen 9 3900XRyzen 9 3950X246810SE +/- 0.004, N = 3SE +/- 0.059, N = 3SE +/- 0.059, N = 63.8654.1114.1124.2924.7605.0895.2596.9856.997MIN: 3.81 / MAX: 4.63MIN: 3.69 / MAX: 23.89MIN: 4.08 / MAX: 4.4MIN: 4.22 / MAX: 12.17MIN: 4.54 / MAX: 16.4MIN: 5.02 / MAX: 13.04MIN: 5.19 / MAX: 5.95MIN: 5.86 / MAX: 101.13MIN: 6.81 / MAX: 7.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyCore i9 12900KCore i5 12600KCore i9 11900K30609012015068.67106.82122.78

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileCore i9 12900KRyzen 9 5950XAMD 5950XCore i5 12600KRyzen 9 3950XRyzen 7 5800XRyzen 9 3900XCore i9 11900KRyzen 7 5700G1632486480SE +/- 0.16, N = 3SE +/- 0.28, N = 3SE +/- 0.13, N = 339.8344.8645.0451.8352.1557.4257.4861.2670.36

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 5800XCore i5 12600KCore i9 12900KRyzen 9 5950XAMD 5950XRyzen 7 5700GCore i9 11900KRyzen 9 3950XRyzen 9 3900X48121620SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 39.519.7310.0312.8912.9412.9714.2914.7016.49MIN: 7.04 / MAX: 20.4MIN: 8.72 / MAX: 14.88MIN: 8.24 / MAX: 19.8MIN: 6.96 / MAX: 19.37MIN: 10.73 / MAX: 18.83MIN: 7.48 / MAX: 28.4MIN: 7.22 / MAX: 64.94MIN: 12.18 / MAX: 25.15MIN: 8.83 / MAX: 60.211. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUCore i9 11900KCore i9 12900KRyzen 7 5800XCore i5 12600KRyzen 7 5700GRyzen 9 3900XRyzen 9 5950XAMD 5950XRyzen 9 3950X5001000150020002500SE +/- 5.03, N = 3SE +/- 30.80, N = 3SE +/- 11.74, N = 31368.851591.251668.031670.461992.302017.292126.712145.242346.05MIN: 998.16 / MAX: 1637.84MIN: 1527.23 / MAX: 1706.84MIN: 1550.58 / MAX: 1755.3MIN: 1651.45 / MAX: 1691.16MIN: 1698.95 / MAX: 2200.09MIN: 1715.21 / MAX: 2220.91MIN: 1706.2 / MAX: 2453.34MIN: 1771.66 / MAX: 2371.66MIN: 1886.54 / MAX: 2632.541. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyCore i9 12900KCore i5 12600KCore i9 11900K30060090012001500791.411235.981346.64

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyCore i9 12900KCore i5 12600KCore i9 11900K70140210280350196.00302.02329.47

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 12900KCore i5 12600KCore i9 11900K90180270360450242.03374.46406.46

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUCore i9 12900KCore i5 12600KRyzen 7 5800XCore i9 11900KRyzen 7 5700GRyzen 9 3900XAMD 5950XRyzen 9 5950XRyzen 9 3950X7001400210028003500SE +/- 5.93, N = 3SE +/- 6.13, N = 3SE +/- 4.91, N = 32082.332135.312206.442258.232775.382872.193177.653177.963345.24MIN: 1755.41 / MAX: 2786.42MIN: 1959.59 / MAX: 2703.53MIN: 1950 / MAX: 2464.9MIN: 1701.31 / MAX: 2503.77MIN: 1785.91 / MAX: 3104.21MIN: 2247.77 / MAX: 3169.97MIN: 2198.09 / MAX: 3770.21MIN: 2488.17 / MAX: 3743.21MIN: 2326.56 / MAX: 3765.681. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyCore i9 12900KCore i5 12600KCore i9 11900K408012016020099.83153.91159.04

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUCore i9 12900KCore i5 12600KRyzen 7 5800XCore i9 11900KRyzen 7 5700GRyzen 9 3900XRyzen 9 5950XAMD 5950XRyzen 9 3950X7001400210028003500SE +/- 4.19, N = 3SE +/- 14.80, N = 3SE +/- 21.39, N = 32102.262130.592228.902250.752765.952887.443230.153267.993335.63MIN: 1758.45 / MAX: 2793.14MIN: 1945.31 / MAX: 2683.04MIN: 1559.98 / MAX: 2479.16MIN: 1599.29 / MAX: 2487.58MIN: 1842.04 / MAX: 3083.75MIN: 1479.87 / MAX: 3243.66MIN: 1558.47 / MAX: 3791.92MIN: 2219.86 / MAX: 3776.07MIN: 2730.21 / MAX: 3819.111. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Facebook RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomAMD 5950XRyzen 9 3950XCore i9 12900KCore i5 12600KCore i9 11900K160K320K480K640K800K7646126184216042845987504934141. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomCore i9 12900KAMD 5950XRyzen 9 3950XCore i5 12600KCore i9 11900K600K1200K1800K2400K3000K298909527649082269855203006719309211. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3Ryzen 7 5800XCore i9 12900KCore i5 12600KRyzen 9 5950XAMD 5950XCore i9 11900KRyzen 7 5700GRyzen 9 3900XRyzen 9 3950X816243240SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 622.5524.2824.6425.7926.0127.0829.6633.2834.48MIN: 22.23 / MAX: 33.17MIN: 24.01 / MAX: 37.99MIN: 24.59 / MAX: 27.92MIN: 25.32 / MAX: 32.81MIN: 25.72 / MAX: 30.52MIN: 24.59 / MAX: 77.44MIN: 28.81 / MAX: 42.55MIN: 28.54 / MAX: 154.79MIN: 33.34 / MAX: 42.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.2.2Bulk Size: 100 - Inserts: 1000 - Rounds: 30Core i9 12900KAMD 5950XCore i5 12600KCore i9 11900KRyzen 9 3950X2040608010065.7269.3771.9274.1084.601. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7Core i5 12600KCore i9 11900K0.0360.0720.1080.1440.180.160.131. (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 7Core i5 12600KCore i9 11900K0.01580.03160.04740.06320.0790.070.061. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultCore i5 12600KCore i9 11900K2468108.487.561. (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 5Core i5 12600KCore i9 11900K0.98781.97562.96343.95124.9394.393.951. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Core i5 12600KCore i9 11900K4812162014.2213.171. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i5 12600KCore i9 11900K0.17780.35560.53340.71120.8890.790.751. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultCore i5 12600KCore i9 11900K51015202521.8620.911. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i5 12600KCore i9 11900K0.44780.89561.34341.79122.2391.991.951. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionCore i9 11900KCore i5 12600K0.98781.97562.96343.95124.9394.394.321. (CC) gcc options: -fvisibility=hidden -O2 -lm

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACCore i9 11900KCore i5 12600K369121512.7812.961. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionCore i9 11900KCore i5 12600K0.00450.0090.01350.0180.02250.020.021. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

FLAC Audio Encoding

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.4CPU Power Consumption MonitorCore i5 12600KCore i9 11900K1326395265Min: 8.3 / Avg: 23.83 / Max: 30.38Min: 16.25 / Avg: 51.47 / Max: 65.58

WebP2 Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.19 / Avg: 105.46 / Max: 112.25Min: 16.78 / Avg: 186.38 / Max: 196.97

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionCore i9 11900KCore i5 12600K

WebP2 Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.4 / Avg: 59.46 / Max: 111.43Min: 16.79 / Avg: 112.61 / Max: 191.1

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Core i5 12600KCore i9 11900K0.01670.03340.05010.06680.08350.0740.035

WebP2 Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.35 / Avg: 109.14 / Max: 114.05Min: 17.16 / Avg: 192.21 / Max: 201.05

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7Core i5 12600KCore i9 11900K0.00020.00040.00060.00080.0010.001

WebP2 Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.13 / Avg: 107.64 / Max: 113.08Min: 16.38 / Avg: 190.07 / Max: 208.35

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7Core i9 11900KCore i5 12600K0.00020.00040.00060.00080.0010.0010.001

WebP2 Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.05 / Avg: 44.15 / Max: 111.99Min: 15.85 / Avg: 76.1 / Max: 205.36

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultCore i5 12600KCore i9 11900K0.04320.08640.12960.17280.2160.1920.099

WebP Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption MonitorCore i5 12600KCore i9 11900K20406080100Min: 8.17 / Avg: 37.46 / Max: 49.5Min: 16.06 / Avg: 70.91 / Max: 91.23

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i5 12600KCore i9 11900K0.00470.00940.01410.01880.02350.0210.011

WebP Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption MonitorCore i5 12600KCore i9 11900K1224364860Min: 8.16 / Avg: 22.18 / Max: 31.59Min: 16.2 / Avg: 45.25 / Max: 62.73

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i5 12600KCore i9 11900K0.02030.04060.06090.08120.10150.0900.043

WebP Image Encode

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption MonitorCore i5 12600KCore i9 11900K1224364860Min: 8.31 / Avg: 20.76 / Max: 31.39Min: 16.35 / Avg: 41.18 / Max: 61.51

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionCore i5 12600KCore i9 11900K0.04680.09360.14040.18720.2340.2080.107

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Core i5 12600KCore i9 11900K0.20860.41720.62580.83441.0430.9270.440

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultCore i5 12600KCore i9 11900K0.37550.7511.12651.5021.87751.6690.767

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.42 / Avg: 112.75 / Max: 114.62Min: 17.76 / Avg: 211.25 / Max: 214.53

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.27 / Avg: 117.25 / Max: 120.55Min: 16.91 / Avg: 222.46 / Max: 228.84

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.39 / Avg: 113.87 / Max: 118.89Min: 16.71 / Avg: 218.69 / Max: 228.94

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.37 / Avg: 113.68 / Max: 116.33Min: 17.45 / Avg: 220.27 / Max: 225.97

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption MonitorCore i5 12600KCore i9 11900K4080120160200Min: 8.36 / Avg: 113.79 / Max: 120.89Min: 16.6 / Avg: 217.28 / Max: 229.94

Facebook RocksDB

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption MonitorCore i5 12600KRyzen 9 3950XAMD 5950XCore i9 11900K306090120150Min: 8.31 / Avg: 84.4 / Max: 93.43Min: 16.47 / Avg: 135.78 / Max: 145.63Min: 30.01 / Avg: 137.76 / Max: 145.63Min: 16.54 / Avg: 155.86 / Max: 173.01

Facebook RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomCore i5 12600KAMD 5950XRyzen 9 3950XCore i9 11900K150030004500600075007093.915550.254554.493165.71

Facebook RocksDB

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption MonitorCore i5 12600KAMD 5950XRyzen 9 3950XCore i9 11900K306090120150Min: 8.39 / Avg: 101.29 / Max: 109.8Min: 29.92 / Avg: 136.7 / Max: 145.66Min: 16.2 / Avg: 136.79 / Max: 145.63Min: 16.72 / Avg: 171.66 / Max: 189.66

Facebook RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomAMD 5950XCore i5 12600KRyzen 9 3950XCore i9 11900K4K8K12K16K20K20226.7220042.1316594.2611248.32

Facebook RocksDB

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption MonitorCore i5 12600KRyzen 9 3950XAMD 5950XCore i9 11900K4080120160200Min: 8.26 / Avg: 102.22 / Max: 111.34Min: 16.4 / Avg: 135.71 / Max: 145.63Min: 30.01 / Avg: 136.95 / Max: 145.63Min: 17.34 / Avg: 174.27 / Max: 195.34

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingAMD 5950XRyzen 9 3950XCore i5 12600KCore i9 11900K6K12K18K24K30K29449.4624269.4921544.5512225.09

Facebook RocksDB

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption MonitorCore i5 12600KAMD 5950XRyzen 9 3950XCore i9 11900K4080120160200Min: 8.22 / Avg: 108.68 / Max: 116.29Min: 29.94 / Avg: 127.39 / Max: 134.78Min: 16.43 / Avg: 136.67 / Max: 145.63Min: 17.57 / Avg: 182.41 / Max: 197.65

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadAMD 5950XCore i5 12600KRyzen 9 3950XCore i9 11900K200K400K600K800K1000K808898.63728189.78553062.24286561.09

Apache CouchDB

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterApache CouchDB 3.2.2CPU Power Consumption MonitorCore i5 12600KRyzen 9 3950XAMD 5950XCore i9 11900K306090120150Min: 8.25 / Avg: 55.88 / Max: 68.4Min: 16.02 / Avg: 74.1 / Max: 85.79Min: 29.97 / Avg: 112.02 / Max: 130.38Min: 16.72 / Avg: 119.99 / Max: 140.63

BRL-CAD

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.32.6CPU Power Consumption MonitorCore i5 12600KRyzen 9 5950XAMD 5950XRyzen 9 3950XCore i9 11900K4080120160200Min: 8.31 / Avg: 118.85 / Max: 125.02Min: 30.23 / Avg: 133.33 / Max: 140.21Min: 30.13 / Avg: 133.68 / Max: 139.27Min: 16.59 / Avg: 142.3 / Max: 146.79Min: 17.38 / Avg: 206.18 / Max: 214.76

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.32.6VGR Performance MetricRyzen 9 5950XAMD 5950XCore i5 12600KRyzen 9 3950XCore i9 11900K4008001200160020002000.651981.961756.061751.27792.20

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringRyzen 7 5700GCore i5 12600KRyzen 9 3950XAMD 5950XRyzen 7 5800XRyzen 9 3900XCore i9 11900K50100150200250Min: 0.19 / Avg: 46.1 / Max: 82.67Min: 7.81 / Avg: 99.45 / Max: 125.02Min: 15.22 / Avg: 107.77 / Max: 146.79Min: 26.67 / Avg: 113.2 / Max: 146.12Min: 5.58 / Avg: 115.26 / Max: 146.87Min: 19.42 / Avg: 117.82 / Max: 146.8Min: 15.85 / Avg: 185.84 / Max: 269.7

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GRyzen 9 3950XCore i5 12600KRyzen 9 3900XAMD 5950XRyzen 7 5800XRyzen 9 5950XCore i9 11900K50100150200250Min: 4.84 / Avg: 40.09 / Max: 45.32Min: 16.26 / Avg: 97.47 / Max: 109.19Min: 8.41 / Avg: 110.91 / Max: 122.1Min: 20.09 / Avg: 116.21 / Max: 127.24Min: 30.29 / Avg: 127.47 / Max: 140.44Min: 9.96 / Avg: 127.72 / Max: 140.23Min: 30.14 / Avg: 130.21 / Max: 142.95Min: 17.23 / Avg: 218.4 / Max: 249.65

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GRyzen 9 3950XCore i5 12600KRyzen 9 3900XRyzen 9 5950XAMD 5950XRyzen 7 5800XCore i9 11900K4080120160200Min: 4.38 / Avg: 39.84 / Max: 47.38Min: 16.47 / Avg: 101.89 / Max: 109.85Min: 8.34 / Avg: 107.21 / Max: 115.64Min: 20.69 / Avg: 124.04 / Max: 135.83Min: 30.2 / Avg: 129.25 / Max: 138.74Min: 30.06 / Avg: 130.13 / Max: 138.5Min: 16.22 / Avg: 137.31 / Max: 146.87Min: 17.52 / Avg: 213.21 / Max: 233.34

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GRyzen 9 3950XCore i5 12600KRyzen 9 3900XRyzen 7 5800XRyzen 9 5950XAMD 5950XCore i9 11900K4080120160200Min: 2.18 / Avg: 34.67 / Max: 40.25Min: 16.26 / Avg: 87.09 / Max: 99.04Min: 8.27 / Avg: 111.67 / Max: 121.63Min: 19.91 / Avg: 116.17 / Max: 127.18Min: 24.25 / Avg: 120.8 / Max: 135.62Min: 30.44 / Avg: 124.84 / Max: 134.81Min: 30.12 / Avg: 124.87 / Max: 134.74Min: 17.27 / Avg: 191.12 / Max: 209.03

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 5950XAMD 5950XRyzen 9 3900XRyzen 9 3950XRyzen 7 5800XCore i9 11900K50100150200250Min: 2.63 / Avg: 59.4 / Max: 74.47Min: 8.28 / Avg: 107.73 / Max: 115.39Min: 30.22 / Avg: 124.74 / Max: 133.23Min: 30.17 / Avg: 125.21 / Max: 133.45Min: 19.95 / Avg: 131.52 / Max: 142.47Min: 16.49 / Avg: 137.01 / Max: 146.79Min: 24.26 / Avg: 137.69 / Max: 145.65Min: 17.31 / Avg: 216.38 / Max: 255.91

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3950XRyzen 9 3900XAMD 5950XRyzen 9 5950XRyzen 7 5800XCore i9 11900K50100150200250Min: 4.02 / Avg: 46.28 / Max: 50.07Min: 8.22 / Avg: 87.69 / Max: 94.75Min: 16.27 / Avg: 105.05 / Max: 113.42Min: 20.17 / Avg: 123.15 / Max: 132.17Min: 30.36 / Avg: 126 / Max: 133.35Min: 30.28 / Avg: 126.1 / Max: 133.58Min: 8.81 / Avg: 134.63 / Max: 145.62Min: 16.06 / Avg: 217.62 / Max: 258.62

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KAMD 5950XRyzen 9 3900XRyzen 9 5950XRyzen 9 3950XRyzen 7 5800XCore i9 11900K50100150200250Min: 4.53 / Avg: 70.54 / Max: 76.4Min: 8.23 / Avg: 91.92 / Max: 100.81Min: 30.22 / Avg: 123.14 / Max: 131.67Min: 20.24 / Avg: 123.17 / Max: 131.88Min: 30.28 / Avg: 123.24 / Max: 132.2Min: 16.82 / Avg: 135.62 / Max: 146.79Min: 24.31 / Avg: 137.29 / Max: 146.79Min: 17.34 / Avg: 215.09 / Max: 259.37

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3950XRyzen 7 5800XRyzen 9 3900XRyzen 9 5950XAMD 5950XCore i9 11900K50100150200250Min: 3.83 / Avg: 46.42 / Max: 53.82Min: 8.33 / Avg: 107.62 / Max: 119.65Min: 16.71 / Avg: 109.7 / Max: 124.69Min: 7.94 / Avg: 126.89 / Max: 142.66Min: 19.82 / Avg: 127.92 / Max: 142.05Min: 29.96 / Avg: 130.92 / Max: 142.88Min: 30.21 / Avg: 131.04 / Max: 144.22Min: 16.48 / Avg: 205.65 / Max: 261

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 9 5950XAMD 5950XCore i9 11900K50100150200250Min: 3.07 / Avg: 44.23 / Max: 51.73Min: 8.19 / Avg: 104.16 / Max: 118.17Min: 16.44 / Avg: 106.87 / Max: 122.23Min: 19.42 / Avg: 123.73 / Max: 138.41Min: 6.51 / Avg: 127.51 / Max: 144.1Min: 29.9 / Avg: 131.05 / Max: 143.3Min: 30.3 / Avg: 131.73 / Max: 144.37Min: 16.88 / Avg: 210.13 / Max: 257.06

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KAMD 5950XRyzen 9 5950XRyzen 9 3900XRyzen 7 5800XRyzen 9 3950XCore i9 11900K50100150200250Min: 1.92 / Avg: 57.16 / Max: 66.43Min: 8.38 / Avg: 78.16 / Max: 85.55Min: 30.03 / Avg: 125.23 / Max: 135.05Min: 29.73 / Avg: 125.95 / Max: 133.79Min: 20.08 / Avg: 133.02 / Max: 145.15Min: 14.48 / Avg: 135.22 / Max: 146.04Min: 16.47 / Avg: 135.81 / Max: 145.73Min: 17.41 / Avg: 233.19 / Max: 269.7

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3950XRyzen 9 5950XAMD 5950XRyzen 7 5800XRyzen 9 3900XCore i9 11900K50100150200250Min: 3.42 / Avg: 39.81 / Max: 53.31Min: 8.37 / Avg: 82.95 / Max: 92.52Min: 16.22 / Avg: 115.55 / Max: 124.16Min: 30.06 / Avg: 123.43 / Max: 131.37Min: 28.9 / Avg: 123.73 / Max: 132.36Min: 5.58 / Avg: 137.13 / Max: 145.63Min: 20.81 / Avg: 137.5 / Max: 146.79Min: 17.1 / Avg: 229.25 / Max: 264.34

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3900XAMD 5950XRyzen 9 5950XRyzen 9 3950XRyzen 7 5800XCore i9 11900K50100150200250Min: 1.74 / Avg: 70.61 / Max: 77.38Min: 8.25 / Avg: 108.84 / Max: 120.14Min: 19.96 / Avg: 121.3 / Max: 132.41Min: 30.02 / Avg: 122.64 / Max: 132.17Min: 30.37 / Avg: 122.88 / Max: 131.28Min: 16.24 / Avg: 134.24 / Max: 145.66Min: 15.87 / Avg: 136.8 / Max: 146.78Min: 17.07 / Avg: 208.45 / Max: 257.99

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 9 5950XAMD 5950XCore i9 11900K50100150200250Min: 2.25 / Avg: 40.14 / Max: 48.5Min: 8.21 / Avg: 92.88 / Max: 106.76Min: 15.9 / Avg: 100.2 / Max: 115.28Min: 20.18 / Avg: 116.76 / Max: 130.28Min: 14.4 / Avg: 118.78 / Max: 136.91Min: 29.85 / Avg: 131.25 / Max: 145.07Min: 29.95 / Avg: 132.31 / Max: 145.08Min: 16.75 / Avg: 215.49 / Max: 258.27

Natron

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNatron 2.4.3CPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3950XRyzen 7 5800XRyzen 9 3900XRyzen 9 5950XAMD 5950XCore i9 11900K306090120150Min: 0.19 / Avg: 61.29 / Max: 82.67Min: 8.17 / Avg: 80.73 / Max: 109.53Min: 15.96 / Avg: 101.01 / Max: 142.16Min: 24.16 / Avg: 101.51 / Max: 133.77Min: 19.98 / Avg: 106.86 / Max: 140.63Min: 29.98 / Avg: 121.12 / Max: 145.66Min: 30.23 / Avg: 121.67 / Max: 145.69Min: 16.1 / Avg: 156.15 / Max: 187.06

Natron

Input: Spaceship

OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipCore i5 12600KRyzen 7 5700GRyzen 7 5800XAMD 5950XRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XCore i9 11900K0.01080.02160.03240.04320.0540.0480.0470.0330.0310.0310.0310.0170.013

Mobile Neural Network

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterMobile Neural Network 2.1CPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 7 5800XRyzen 9 5950XAMD 5950XRyzen 9 3900XRyzen 9 3950XCore i9 11900K4080120160200Min: 4.87 / Avg: 43.96 / Max: 63.83Min: 8.07 / Avg: 106.98 / Max: 115.13Min: 24.21 / Avg: 134.19 / Max: 146.8Min: 29.8 / Avg: 135.86 / Max: 143.86Min: 29.78 / Avg: 137.1 / Max: 144.83Min: 20.13 / Avg: 138.71 / Max: 146.8Min: 16.59 / Avg: 141.51 / Max: 145.68Min: 16.55 / Avg: 197.77 / Max: 222.14

7-Zip Compression

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 11900K306090120150Min: 1.2 / Avg: 53.29 / Max: 69.81Min: 8.1 / Avg: 76.75 / Max: 99.85Min: 23.82 / Avg: 90.65 / Max: 113.54Min: 19.77 / Avg: 105 / Max: 130.33Min: 16.55 / Avg: 110.35 / Max: 145.62Min: 29.95 / Avg: 125.13 / Max: 145.62Min: 30.04 / Avg: 126.77 / Max: 145.63Min: 16.47 / Avg: 139.54 / Max: 168.09

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7 5700GRyzen 9 5950XAMD 5950XRyzen 9 3950XRyzen 7 5800XRyzen 9 3900XCore i5 12600KCore i9 11900K300600900120015001355.401136.911118.131111.34854.52818.80807.58430.41

Timed PHP Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption MonitorRyzen 7 5700GCore i5 12600KRyzen 9 3950XRyzen 7 5800XRyzen 9 3900XRyzen 9 5950XAMD 5950XCore i9 11900K4080120160200Min: 4.16 / Avg: 46.23 / Max: 76.05Min: 8.12 / Avg: 70.36 / Max: 107.66Min: 16.85 / Avg: 76.73 / Max: 145.63Min: 24.27 / Avg: 86.79 / Max: 127.73Min: 20.02 / Avg: 91.24 / Max: 145.64Min: 29.96 / Avg: 95.89 / Max: 145.63Min: 29.07 / Avg: 96.1 / Max: 145.74Min: 17.17 / Avg: 125.71 / Max: 191.42

Phoronix Test Suite v10.8.5