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&gru.

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 testsnatron: Spaceshipopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingwebp: Quality 100webp: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp: Quality 100, Highest Compressionwebp2: Quality 100, Lossless Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionwebp2: Defaultrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randbrl-cad: VGR Performance Metricmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUbuild-php: Time To Compilecouchdb: 100 - 1000 - 30blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyencode-flac: WAV To FLACRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K2.92.005.476674.8012657.331.431.43536.55229.37306.65138.98307.9023.1170302722288.8261.1302.53223.2644.7602.4392.34729.6641992.30730.581.190.622775.382765.9514.9017.4213.0328.7512.97172.9370.3573.42.386.089100.4514815.541.801.78590.52279.63412.78196.76420.2628.6779090774626.6260.8832.03118.1183.8651.7241.59522.5531668.03657.330.880.542206.442228.9013.5414.299.6820.329.51139.4357.4181.82.954.2510039.3912874.872.072.05421.77321.06355.68175.55363.5129.73867758597315.8422.3754.60635.9046.9854.8265.80133.2782017.291406.221.190.932872.192887.4428.4418.6716.8634.1516.49201.6657.4763.13.355.8412887.1917110.582.352.37582.29390.89494.84206.46543.3337.5791757122633755857203293680226985561842124920315.032.2464.34331.5326.99753.23734.4832346.051362.521.230.933345.243335.6327.4720.4516.1638.7114.7212.6952.15484.6033.73.739.7213205.4224162.822.492.45954.66439.51677.86236.05619.7938.89447814225726675210.9331.9822.91521.8295.0893.1292.47225.7872126.71819.441.210.663177.963230.1516.7518.1911.7933.8512.89206.0844.8643.83.699.7413202.0724180.332.482.41957.1439.51676.45235.54617.7336.13942521417501030488824033021276490876461226494811.6931.9253.22622.3525.2593.4312.50226.012145.24820.041.210.663177.653267.9916.7118.1911.8233.9212.94221.1245.03969.3725.33.7515.3610854.5924283.382.842.791299.07341.57731.92376.49597.2752.671343529801612642896529890956042843343868.7451.1693.03221.84.2922.5493.07924.2771591.25389.941.460.662082.332102.2612.2646.778.1915.9210.03113.7239.8365.72468.6719699.83242.03791.413.92.3710.195715.8413656.41.861.86759.88200.88483.95271.34410.6935.58931856198214.2221.860.160.074.394.320.021.990.798.4879141941220218820300675987502087117.711.1842.25717.7654.1122.0272.30624.6381670.46389.111.680.722135.312130.5913.0649.718.2614.739.73112.3251.83271.922106.82302.02153.91374.461235.9812.96322.91129291.2823848.891.761.761237.56312.59592.28101.29279.5433.91682686005713.1720.910.130.063.954.390.021.950.757.5652272191213048019309214934141633358.1880.9972.2721.3534.1112.2162.04627.0831368.85332.720.850.332258.232250.756.4525.576.7439.4614.29117.9261.26274.098122.78329.47159.04406.461346.6412.777OpenBenchmarking.org

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

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

Natron

Input: Spaceship

OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K0.01080.02160.03240.04320.0540.0470.0330.0170.0310.0310.0310.0480.013

Natron

Input: Spaceship

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K1.19252.3853.57754.775.9625SE +/- 0.02, N = 9SE +/- 0.03, N = 3SE +/- 0.00, N = 32.93.41.83.13.73.85.33.92.0

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K0.84381.68762.53143.37524.219SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.002.382.953.353.733.693.752.372.911. (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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.476.084.255.849.729.7415.3610.1912.001. (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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K3K6K9K12K15KSE +/- 21.83, N = 3SE +/- 29.14, N = 3SE +/- 27.98, N = 36674.809100.4510039.3912887.1913205.4213202.0710854.595715.849291.281. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K5K10K15K20K25KSE +/- 72.04, N = 3SE +/- 15.98, N = 3SE +/- 40.08, N = 312657.3314815.5412874.8717110.5824162.8224180.3324283.3813656.4023848.891. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K0.6391.2781.9172.5563.195SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.431.802.072.352.492.482.841.861.761. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K0.62781.25561.88342.51123.139SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.431.782.052.372.452.412.791.861.761. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K30060090012001500SE +/- 0.36, N = 3SE +/- 0.42, N = 3SE +/- 0.21, N = 3536.55590.52421.77582.29954.66957.101299.07759.881237.561. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K100200300400500SE +/- 0.03, N = 3SE +/- 0.44, N = 3SE +/- 0.67, N = 3229.37279.63321.06390.89439.51439.51341.57200.88312.591. (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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K160320480640800SE +/- 3.62, N = 3SE +/- 0.90, N = 3SE +/- 0.10, N = 3306.65412.78355.68494.84677.86676.45731.92483.95592.281. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K80160240320400SE +/- 0.59, N = 3SE +/- 1.21, N = 3SE +/- 0.32, N = 3138.98196.76175.55206.46236.05235.54376.49271.34101.291. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K130260390520650SE +/- 1.36, N = 3SE +/- 0.78, N = 3SE +/- 0.84, N = 3307.90420.26363.51543.33619.79617.73597.27410.69279.541. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K1224364860SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 323.1128.6729.7337.5738.8036.1352.6735.5833.911. (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 Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K300600900120015001355.40854.52818.801111.341136.911118.13807.58430.41

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K30K60K90K120K150KSE +/- 72.13, N = 3SE +/- 72.51, N = 3SE +/- 164.88, N = 370302790908677591757944789425213435293185682681. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K30K60K90K120K150KSE +/- 179.27, N = 3SE +/- 194.98, N = 3SE +/- 341.93, N = 37222877462859731226331422571417509801661982600571. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: 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: 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

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: 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

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: 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, 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

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionCore i5 12600KCore i9 11900K0.98781.97562.96343.95124.9394.324.391. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

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

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

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

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 i5 12600KCore i9 11900K0.00020.00040.00060.00080.0010.0010.001

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

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, 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

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 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

Encode Settings: Quality 100, Lossless Compression

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

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadRyzen 9 3950XAMD 5950XCore i5 12600KCore i9 11900K200K400K600K800K1000K553062.24808898.63728189.78286561.09

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingRyzen 9 3950XAMD 5950XCore i5 12600KCore i9 11900K6K12K18K24K30K24269.4929449.4621544.5512225.09

Facebook RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomRyzen 9 3950XAMD 5950XCore i5 12600KCore i9 11900K4K8K12K16K20K16594.2620226.7220042.1311248.32

Facebook RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomRyzen 9 3950XAMD 5950XCore i5 12600KCore i9 11900K150030004500600075004554.495550.257093.913165.71

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadRyzen 9 3950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K30M60M90M120M150M7558572010304888212642896579141941522721911. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingRyzen 9 3950XAMD 5950XCore i5 12600KCore i9 11900K900K1800K2700K3600K4500K32936804033021220218821304801. (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 RandomRyzen 9 3950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K600K1200K1800K2400K3000K226985527649082989095203006719309211. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomRyzen 9 3950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K160K320K480K640K800K6184217646126042845987504934141. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Meta Performance Per Watts

Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRyzen 9 3950XAMD 5950XCore i5 12600KCore i9 11900K60K120K180K240K300K229081.17277082.43178.42154.97

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.32.6VGR Performance MetricRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K4008001200160020001751.272000.651981.961756.06792.20

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K70K140K210K280K350K2492032667522649483343862087111633351. (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: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K48121620SE +/- 0.109, N = 3SE +/- 0.048, N = 3SE +/- 0.161, N = 68.8266.62615.84215.03010.93311.6938.7457.7108.188MIN: 8.52 / MAX: 21.27MIN: 6.48 / MAX: 7.43MIN: 13.21 / MAX: 143.35MIN: 14.83 / MAX: 22.29MIN: 10.69 / MAX: 11.64MIN: 11.35 / MAX: 20.19MIN: 8.71 / MAX: 9.32MIN: 7.66 / MAX: 9.88MIN: 7.22 / MAX: 33.831. (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

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K0.53441.06881.60322.13762.672SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.015, N = 61.1300.8832.3752.2461.9821.9251.1691.1840.997MIN: 1.09 / MAX: 10.93MIN: 0.86 / MAX: 4.6MIN: 2.06 / MAX: 89.53MIN: 2.21 / MAX: 3.08MIN: 1.7 / MAX: 28.92MIN: 1.81 / MAX: 2.33MIN: 1.13 / MAX: 1.42MIN: 1.02 / MAX: 2.03MIN: 0.92 / MAX: 4.161. (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

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K1.03642.07283.10924.14565.182SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.068, N = 62.5322.0314.6064.3432.9153.2263.0322.2572.270MIN: 2.41 / MAX: 13.37MIN: 1.98 / MAX: 2.5MIN: 3.85 / MAX: 74.81MIN: 4.25 / MAX: 12.46MIN: 2.87 / MAX: 3.97MIN: 3.16 / MAX: 3.37MIN: 2.98 / MAX: 9.97MIN: 2.24 / MAX: 7.91MIN: 2.01 / MAX: 28.531. (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

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K816243240SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 623.2618.1235.9031.5321.8322.3521.8017.7721.35MIN: 22.08 / MAX: 79.53MIN: 17.75 / MAX: 27.22MIN: 30.4 / MAX: 162.87MIN: 29.78 / MAX: 38.82MIN: 21.52 / MAX: 28.17MIN: 21.91 / MAX: 28.8MIN: 21.56 / MAX: 33.15MIN: 17.7 / MAX: 23.7MIN: 19.55 / MAX: 59.021. (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

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K246810SE +/- 0.059, N = 3SE +/- 0.004, N = 3SE +/- 0.059, N = 64.7603.8656.9856.9975.0895.2594.2924.1124.111MIN: 4.54 / MAX: 16.4MIN: 3.81 / MAX: 4.63MIN: 5.86 / MAX: 101.13MIN: 6.81 / MAX: 7.6MIN: 5.02 / MAX: 13.04MIN: 5.19 / MAX: 5.95MIN: 4.22 / MAX: 12.17MIN: 4.08 / MAX: 4.4MIN: 3.69 / MAX: 23.891. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K1.1252.253.3754.55.625SE +/- 0.041, N = 3SE +/- 0.018, N = 3SE +/- 0.055, N = 62.4391.7244.8265.0003.1293.4312.5492.0272.216MIN: 2.31 / MAX: 14.01MIN: 1.67 / MAX: 2.22MIN: 4.15 / MAX: 118.91MIN: 4.84 / MAX: 5.79MIN: 3.1 / MAX: 3.85MIN: 3.36 / MAX: 4.29MIN: 2.46 / MAX: 3.95MIN: 2.01 / MAX: 2.55MIN: 1.9 / MAX: 22.891. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K1.30522.61043.91565.22086.526SE +/- 0.015, N = 3SE +/- 0.007, N = 3SE +/- 0.039, N = 62.3471.5955.8013.2372.4722.5023.0792.3062.046MIN: 2.22 / MAX: 13.86MIN: 1.57 / MAX: 2.03MIN: 4.6 / MAX: 116.95MIN: 3.16 / MAX: 4.09MIN: 2.44 / MAX: 2.6MIN: 2.47 / MAX: 3.22MIN: 2.87 / MAX: 8.47MIN: 2.29 / MAX: 2.59MIN: 1.77 / MAX: 30.141. (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

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K816243240SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 629.6622.5533.2834.4825.7926.0124.2824.6427.08MIN: 28.81 / MAX: 42.55MIN: 22.23 / MAX: 33.17MIN: 28.54 / MAX: 154.79MIN: 33.34 / MAX: 42.31MIN: 25.32 / MAX: 32.81MIN: 25.72 / MAX: 30.52MIN: 24.01 / MAX: 37.99MIN: 24.59 / MAX: 27.92MIN: 24.59 / MAX: 77.441. (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 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K5001000150020002500SE +/- 30.80, N = 3SE +/- 5.03, N = 3SE +/- 11.74, N = 31992.301668.032017.292346.052126.712145.241591.251670.461368.85MIN: 1698.95 / MAX: 2200.09MIN: 1550.58 / MAX: 1755.3MIN: 1715.21 / MAX: 2220.91MIN: 1886.54 / MAX: 2632.54MIN: 1706.2 / MAX: 2453.34MIN: 1771.66 / MAX: 2371.66MIN: 1527.23 / MAX: 1706.84MIN: 1651.45 / MAX: 1691.16MIN: 998.16 / MAX: 1637.841. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K30060090012001500SE +/- 0.28, N = 3SE +/- 0.42, N = 3SE +/- 1.57, N = 3730.58657.331406.221362.52819.44820.04389.94389.11332.72MIN: 492.86 / MAX: 776.15MIN: 638.88 / MAX: 664.91MIN: 1307.87 / MAX: 1498.4MIN: 1339.1 / MAX: 1376.54MIN: 733.89 / MAX: 843.65MIN: 793.27 / MAX: 831.81MIN: 298.89 / MAX: 923.96MIN: 329.59 / MAX: 829MIN: 298.23 / MAX: 447.881. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K0.3780.7561.1341.5121.89SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.190.881.191.231.211.211.461.680.85MIN: 0.71 / MAX: 15.27MIN: 0.58 / MAX: 10.45MIN: 0.66 / MAX: 40MIN: 0.74 / MAX: 11.28MIN: 0.8 / MAX: 11.78MIN: 0.76 / MAX: 10.99MIN: 0.94 / MAX: 2.85MIN: 1.01 / MAX: 3.3MIN: 0.46 / MAX: 20.941. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K0.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.540.930.930.660.660.660.720.33MIN: 0.39 / MAX: 12.23MIN: 0.33 / MAX: 10.16MIN: 0.54 / MAX: 34.61MIN: 0.56 / MAX: 9.29MIN: 0.4 / MAX: 9.7MIN: 0.39 / MAX: 9.09MIN: 0.48 / MAX: 3.61MIN: 0.5 / MAX: 1.92MIN: 0.19 / MAX: 13.531. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K7001400210028003500SE +/- 6.13, N = 3SE +/- 5.93, N = 3SE +/- 4.91, N = 32775.382206.442872.193345.243177.963177.652082.332135.312258.23MIN: 1785.91 / MAX: 3104.21MIN: 1950 / MAX: 2464.9MIN: 2247.77 / MAX: 3169.97MIN: 2326.56 / MAX: 3765.68MIN: 2488.17 / MAX: 3743.21MIN: 2198.09 / MAX: 3770.21MIN: 1755.41 / MAX: 2786.42MIN: 1959.59 / MAX: 2703.53MIN: 1701.31 / MAX: 2503.771. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K7001400210028003500SE +/- 14.80, N = 3SE +/- 4.19, N = 3SE +/- 21.39, N = 32765.952228.902887.443335.633230.153267.992102.262130.592250.75MIN: 1842.04 / MAX: 3083.75MIN: 1559.98 / MAX: 2479.16MIN: 1479.87 / MAX: 3243.66MIN: 2730.21 / MAX: 3819.11MIN: 1558.47 / MAX: 3791.92MIN: 2219.86 / MAX: 3776.07MIN: 1758.45 / MAX: 2793.14MIN: 1945.31 / MAX: 2683.04MIN: 1599.29 / MAX: 2487.581. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.9013.5428.4427.4716.7516.7112.2613.066.45MIN: 7.33 / MAX: 25.89MIN: 7.08 / MAX: 22.51MIN: 14.9 / MAX: 78.52MIN: 18.76 / MAX: 35.74MIN: 11.09 / MAX: 21.33MIN: 8.06 / MAX: 24.96MIN: 9.88 / MAX: 17.42MIN: 10.18 / MAX: 16.8MIN: 3.62 / MAX: 30.171. (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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K1122334455SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 317.4214.2918.6720.4518.1918.1946.7749.7125.57MIN: 9.07 / MAX: 30.09MIN: 7.5 / MAX: 24.54MIN: 13.72 / MAX: 70.89MIN: 11.74 / MAX: 39.16MIN: 9.4 / MAX: 28.56MIN: 8.69 / MAX: 26.01MIN: 24.98 / MAX: 59.29MIN: 47.84 / MAX: 51.93MIN: 15.77 / MAX: 54.841. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K48121620SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.039.6816.8616.1611.7911.828.198.266.74MIN: 6.64 / MAX: 25.26MIN: 5.23 / MAX: 19.09MIN: 10.76 / MAX: 72.48MIN: 9.15 / MAX: 68.05MIN: 7.87 / MAX: 21.31MIN: 6.54 / MAX: 21.16MIN: 6.68 / MAX: 25.81MIN: 7.26 / MAX: 19.99MIN: 3.45 / MAX: 23.721. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K918273645SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 328.7520.3234.1538.7133.8533.9215.9214.7339.46MIN: 10.6 / MAX: 50.31MIN: 12.41 / MAX: 37.85MIN: 12.29 / MAX: 77.76MIN: 13.3 / MAX: 56.5MIN: 24.98 / MAX: 49.81MIN: 20.26 / MAX: 49.04MIN: 12.39 / MAX: 29.4MIN: 12.62 / MAX: 22.93MIN: 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: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K48121620SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 312.979.5116.4914.7012.8912.9410.039.7314.29MIN: 7.48 / MAX: 28.4MIN: 7.04 / MAX: 20.4MIN: 8.83 / MAX: 60.21MIN: 12.18 / MAX: 25.15MIN: 6.96 / MAX: 19.37MIN: 10.73 / MAX: 18.83MIN: 8.24 / MAX: 19.8MIN: 8.72 / MAX: 14.88MIN: 7.22 / MAX: 64.941. (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: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K50100150200250SE +/- 0.84, N = 3SE +/- 0.34, N = 3SE +/- 0.54, N = 3172.93139.43201.66212.69206.08221.12113.72112.32117.92MIN: 85.04 / MAX: 215.98MIN: 115.02 / MAX: 161.07MIN: 112.84 / MAX: 328.9MIN: 170.16 / MAX: 263.41MIN: 119.55 / MAX: 247.84MIN: 158.14 / MAX: 257.35MIN: 95.52 / MAX: 207.66MIN: 95.55 / MAX: 163.62MIN: 88.86 / MAX: 191.181. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K1632486480SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.28, N = 370.3657.4257.4852.1544.8645.0439.8351.8361.26

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.2.2Bulk Size: 100 - Inserts: 1000 - Rounds: 30Ryzen 9 3950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900K2040608010084.6069.3765.7271.9274.101. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

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

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: 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

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

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

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACCore i5 12600KCore i9 11900K369121512.9612.781. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

Timed PHP Compilation

CPU Power Consumption Monitor

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

7-Zip Compression

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption MonitorRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K306090120150Min: 1.2 / Avg: 53.29 / Max: 69.81Min: 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: 8.1 / Avg: 76.75 / Max: 99.85Min: 16.47 / Avg: 139.54 / Max: 168.09

Mobile Neural Network

CPU Power Consumption Monitor

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

Natron

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 1.74 / Avg: 70.61 / Max: 77.38Min: 15.87 / Avg: 136.8 / Max: 146.78Min: 19.96 / Avg: 121.3 / Max: 132.41Min: 16.24 / Avg: 134.24 / Max: 145.66Min: 30.37 / Avg: 122.88 / Max: 131.28Min: 30.02 / Avg: 122.64 / Max: 132.17Min: 8.25 / Avg: 108.84 / Max: 120.14Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 3.42 / Avg: 39.81 / Max: 53.31Min: 5.58 / Avg: 137.13 / Max: 145.63Min: 20.81 / Avg: 137.5 / Max: 146.79Min: 16.22 / Avg: 115.55 / Max: 124.16Min: 30.06 / Avg: 123.43 / Max: 131.37Min: 28.9 / Avg: 123.73 / Max: 132.36Min: 8.37 / Avg: 82.95 / Max: 92.52Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 1.92 / Avg: 57.16 / Max: 66.43Min: 14.48 / Avg: 135.22 / Max: 146.04Min: 20.08 / Avg: 133.02 / Max: 145.15Min: 16.47 / Avg: 135.81 / Max: 145.73Min: 29.73 / Avg: 125.95 / Max: 133.79Min: 30.03 / Avg: 125.23 / Max: 135.05Min: 8.38 / Avg: 78.16 / Max: 85.55Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 3.07 / Avg: 44.23 / Max: 51.73Min: 6.51 / Avg: 127.51 / Max: 144.1Min: 19.42 / Avg: 123.73 / Max: 138.41Min: 16.44 / Avg: 106.87 / Max: 122.23Min: 29.9 / Avg: 131.05 / Max: 143.3Min: 30.3 / Avg: 131.73 / Max: 144.37Min: 8.19 / Avg: 104.16 / Max: 118.17Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 3.83 / Avg: 46.42 / Max: 53.82Min: 7.94 / Avg: 126.89 / Max: 142.66Min: 19.82 / Avg: 127.92 / Max: 142.05Min: 16.71 / Avg: 109.7 / Max: 124.69Min: 29.96 / Avg: 130.92 / Max: 142.88Min: 30.21 / Avg: 131.04 / Max: 144.22Min: 8.33 / Avg: 107.62 / Max: 119.65Min: 16.48 / Avg: 205.65 / Max: 261

OpenVINO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption MonitorRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 4.53 / Avg: 70.54 / Max: 76.4Min: 24.31 / Avg: 137.29 / Max: 146.79Min: 20.24 / Avg: 123.17 / Max: 131.88Min: 16.82 / Avg: 135.62 / Max: 146.79Min: 30.28 / Avg: 123.24 / Max: 132.2Min: 30.22 / Avg: 123.14 / Max: 131.67Min: 8.23 / Avg: 91.92 / Max: 100.81Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 4.02 / Avg: 46.28 / Max: 50.07Min: 8.81 / Avg: 134.63 / Max: 145.62Min: 20.17 / Avg: 123.15 / Max: 132.17Min: 16.27 / Avg: 105.05 / Max: 113.42Min: 30.28 / Avg: 126.1 / Max: 133.58Min: 30.36 / Avg: 126 / Max: 133.35Min: 8.22 / Avg: 87.69 / Max: 94.75Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 2.63 / Avg: 59.4 / Max: 74.47Min: 24.26 / Avg: 137.69 / Max: 145.65Min: 19.95 / Avg: 131.52 / Max: 142.47Min: 16.49 / Avg: 137.01 / Max: 146.79Min: 30.22 / Avg: 124.74 / Max: 133.23Min: 30.17 / Avg: 125.21 / Max: 133.45Min: 8.28 / Avg: 107.73 / Max: 115.39Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K4080120160200Min: 2.18 / Avg: 34.67 / Max: 40.25Min: 24.25 / Avg: 120.8 / Max: 135.62Min: 19.91 / Avg: 116.17 / Max: 127.18Min: 16.26 / Avg: 87.09 / Max: 99.04Min: 30.44 / Avg: 124.84 / Max: 134.81Min: 30.12 / Avg: 124.87 / Max: 134.74Min: 8.27 / Avg: 111.67 / Max: 121.63Min: 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 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K4080120160200Min: 4.38 / Avg: 39.84 / Max: 47.38Min: 16.22 / Avg: 137.31 / Max: 146.87Min: 20.69 / Avg: 124.04 / Max: 135.83Min: 16.47 / Avg: 101.89 / Max: 109.85Min: 30.2 / Avg: 129.25 / Max: 138.74Min: 30.06 / Avg: 130.13 / Max: 138.5Min: 8.34 / Avg: 107.21 / Max: 115.64Min: 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 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i5 12600KCore i9 11900K50100150200250Min: 4.84 / Avg: 40.09 / Max: 45.32Min: 9.96 / Avg: 127.72 / Max: 140.23Min: 20.09 / Avg: 116.21 / Max: 127.24Min: 16.26 / Avg: 97.47 / Max: 109.19Min: 30.14 / Avg: 130.21 / Max: 142.95Min: 30.29 / Avg: 127.47 / Max: 140.44Min: 8.41 / Avg: 110.91 / Max: 122.1Min: 17.23 / Avg: 218.4 / Max: 249.65

BRL-CAD

CPU Power Consumption Monitor

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

Apache CouchDB

CPU Power Consumption Monitor

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

Facebook RocksDB

CPU Power Consumption Monitor

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

Facebook RocksDB

CPU Power Consumption Monitor

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

Facebook RocksDB

CPU Power Consumption Monitor

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

Facebook RocksDB

CPU Power Consumption Monitor

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

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

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: 8.39 / 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: 8.27 / 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: 8.42 / Avg: 112.75 / Max: 114.62Min: 17.76 / Avg: 211.25 / Max: 214.53

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

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

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

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

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

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

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

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

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

Phoronix Test Suite v10.8.5