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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209122-NE-EXTRACPUT57
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Identifier
Performance Per
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Date
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  Test
  Duration
Ryzen 7 5700G
September 01 2022
  2 Hours, 30 Minutes
Ryzen 7 5800X
September 03 2022
  2 Hours, 10 Minutes
Ryzen 9 3900X
September 03 2022
  4 Hours, 29 Minutes
Ryzen 9 3950X
September 06 2022
  1 Hour, 13 Minutes
Ryzen 9 5950X
September 06 2022
  57 Minutes
AMD 5950X
September 06 2022
  1 Hour, 3 Minutes
Core i9 12900K
September 08 2022
  1 Hour, 29 Minutes
Core i5 12600K
September 10 2022
  2 Hours, 8 Minutes
Core i9 11900K
September 12 2022
  2 Hours, 16 Minutes
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  2 Hours, 2 Minutes

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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

Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XCore i9 12900KCore i5 12600KCore i9 11900KResult OverviewPhoronix Test Suite100%149%197%246%294%NatronMobile Neural Network7-Zip CompressionTimed PHP CompilationOpenVINO

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

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 11900KCore i5 12600KAMD 5950X50100150200250Min: 15.22 / Avg: 107.77 / Max: 146.79Min: 19.42 / Avg: 117.82 / Max: 146.8Min: 5.58 / Avg: 115.26 / Max: 146.87Min: 0.19 / Avg: 46.1 / Max: 82.67Min: 15.85 / Avg: 185.84 / Max: 269.7Min: 7.81 / Avg: 99.45 / Max: 125.02Min: 26.67 / Avg: 113.2 / Max: 146.12

Natron

OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 11900KCore i5 12600KAMD 5950X0.01080.02160.03240.04320.0540.0310.0310.0170.0330.0470.0130.0480.031

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X1.19252.3853.57754.775.9625SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 93.73.11.83.42.95.32.03.93.8

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X0.84381.68762.53143.37524.219SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 33.733.352.952.382.003.752.912.373.691. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 39.725.844.256.085.4715.3612.0010.199.741. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X3K6K9K12K15KSE +/- 27.98, N = 3SE +/- 29.14, N = 3SE +/- 21.83, N = 313205.4212887.1910039.399100.456674.8010854.599291.285715.8413202.071. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X5K10K15K20K25KSE +/- 40.08, N = 3SE +/- 15.98, N = 3SE +/- 72.04, N = 324162.8217110.5812874.8714815.5412657.3324283.3823848.8913656.4024180.331. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X0.6391.2781.9172.5563.195SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.492.352.071.801.432.841.761.862.481. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X0.62781.25561.88342.51123.139SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.452.372.051.781.432.791.761.862.411. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X30060090012001500SE +/- 0.21, N = 3SE +/- 0.42, N = 3SE +/- 0.36, N = 3954.66582.29421.77590.52536.551299.071237.56759.88957.101. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X100200300400500SE +/- 0.67, N = 3SE +/- 0.44, N = 3SE +/- 0.03, N = 3439.51390.89321.06279.63229.37341.57312.59200.88439.511. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X160320480640800SE +/- 0.10, N = 3SE +/- 0.90, N = 3SE +/- 3.62, N = 3677.86494.84355.68412.78306.65731.92592.28483.95676.451. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X80160240320400SE +/- 0.32, N = 3SE +/- 1.21, N = 3SE +/- 0.59, N = 3236.05206.46175.55196.76138.98376.49101.29271.34235.541. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X130260390520650SE +/- 0.84, N = 3SE +/- 0.78, N = 3SE +/- 1.36, N = 3619.79543.33363.51420.26307.90597.27279.54410.69617.731. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X1224364860SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 338.8037.5729.7328.6723.1152.6733.9135.5836.131. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

7-Zip Compression

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 11900KCore i5 12600KAMD 5950X300600900120015001136.911111.34818.80854.521355.40430.41807.581118.13

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X30K60K90K120K150KSE +/- 164.88, N = 3SE +/- 72.51, N = 3SE +/- 72.13, N = 394478917578677579090703021343526826893185942521. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X30K60K90K120K150KSE +/- 341.93, N = 3SE +/- 194.98, N = 3SE +/- 179.27, N = 31422571226338597377462722289801660057619821417501. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

WebP Image Encode

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Core i9 11900KCore i5 12600K0.20860.41720.62580.83441.0430.4400.927

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Core i9 11900KCore i5 12600K4812162013.1714.221. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultCore i9 11900KCore i5 12600K0.37550.7511.12651.5021.87750.7671.669

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionCore i9 11900KCore i5 12600K0.04680.09360.14040.18720.2340.1070.208

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultCore i9 11900KCore i5 12600K51015202520.9121.861. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7Core i9 11900KCore i5 12600K0.0360.0720.1080.1440.180.130.161. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7Core i9 11900KCore i5 12600K0.01580.03160.04740.06320.0790.060.071. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Core i9 11900KCore i5 12600K0.98781.97562.96343.95124.9393.954.391. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP Image Encode

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i9 11900KCore i5 12600K0.02030.04060.06090.08120.10150.0430.090

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

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

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

WebP Image Encode

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 11900KCore i5 12600K0.00470.00940.01410.01880.02350.0110.021

WebP2 Image Encode

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultCore i9 11900KCore i5 12600K0.04320.08640.12960.17280.2160.0990.192

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i9 11900KCore i5 12600K0.44780.89561.34341.79122.2391.951.991. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 11900KCore i5 12600K0.17780.35560.53340.71120.8890.750.791. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultCore i9 11900KCore i5 12600K2468107.568.481. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Facebook RocksDB

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadRyzen 9 3950XCore i9 11900KCore i5 12600KAMD 5950X200K400K600K800K1000K553062.24286561.09728189.78808898.63

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingRyzen 9 3950XCore i9 11900KCore i5 12600KAMD 5950X6K12K18K24K30K24269.4912225.0921544.5529449.46

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomRyzen 9 3950XCore i9 11900KCore i5 12600KAMD 5950X4K8K12K16K20K16594.2611248.3220042.1320226.72

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomRyzen 9 3950XCore i9 11900KCore i5 12600KAMD 5950X150030004500600075004554.493165.717093.915550.25

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadRyzen 9 3950XCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X30M60M90M120M150M7558572012642896552272191791419411030488821. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingRyzen 9 3950XCore i9 11900KCore i5 12600KAMD 5950X900K1800K2700K3600K4500K32936802130480220218840330211. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Test: Read While Writing

Core i9 12900K: The test quit with a non-zero exit status.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomRyzen 9 3950XCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X600K1200K1800K2400K3000K226985529890951930921203006727649081. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomRyzen 9 3950XCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X160K320K480K640K800K6184216042844934145987507646121. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRyzen 9 3950XCore i9 11900KCore i5 12600KAMD 5950X60K120K180K240K300K229081.17154.97178.42277082.43

BRL-CAD

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.32.6VGR Performance MetricRyzen 9 5950XRyzen 9 3950XCore i9 11900KCore i5 12600KAMD 5950X4008001200160020002000.651751.27792.201756.061981.96

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricRyzen 9 5950XRyzen 9 3950XCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X70K140K210K280K350K2667522492033343861633352087112649481. (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

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X48121620SE +/- 0.161, N = 6SE +/- 0.048, N = 3SE +/- 0.109, N = 310.93315.03015.8426.6268.8268.7458.1887.71011.693MIN: 10.69 / MAX: 11.64MIN: 14.83 / MAX: 22.29MIN: 13.21 / MAX: 143.35MIN: 6.48 / MAX: 7.43MIN: 8.52 / MAX: 21.27MIN: 8.71 / MAX: 9.32MIN: 7.22 / MAX: 33.83MIN: 7.66 / MAX: 9.88MIN: 11.35 / MAX: 20.191. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3Ryzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X0.53441.06881.60322.13762.672SE +/- 0.015, N = 6SE +/- 0.008, N = 3SE +/- 0.009, N = 31.9822.2462.3750.8831.1301.1690.9971.1841.925MIN: 1.7 / MAX: 28.92MIN: 2.21 / MAX: 3.08MIN: 2.06 / MAX: 89.53MIN: 0.86 / MAX: 4.6MIN: 1.09 / MAX: 10.93MIN: 1.13 / MAX: 1.42MIN: 0.92 / MAX: 4.16MIN: 1.02 / MAX: 2.03MIN: 1.81 / MAX: 2.331. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1Ryzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X1.03642.07283.10924.14565.182SE +/- 0.068, N = 6SE +/- 0.016, N = 3SE +/- 0.022, N = 32.9154.3434.6062.0312.5323.0322.2702.2573.226MIN: 2.87 / MAX: 3.97MIN: 4.25 / MAX: 12.46MIN: 3.85 / MAX: 74.81MIN: 1.98 / MAX: 2.5MIN: 2.41 / MAX: 13.37MIN: 2.98 / MAX: 9.97MIN: 2.01 / MAX: 28.53MIN: 2.24 / MAX: 7.91MIN: 3.16 / MAX: 3.371. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50Ryzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X816243240SE +/- 0.14, N = 6SE +/- 0.12, N = 3SE +/- 0.18, N = 321.8331.5335.9018.1223.2621.8021.3517.7722.35MIN: 21.52 / MAX: 28.17MIN: 29.78 / MAX: 38.82MIN: 30.4 / MAX: 162.87MIN: 17.75 / MAX: 27.22MIN: 22.08 / MAX: 79.53MIN: 21.56 / MAX: 33.15MIN: 19.55 / MAX: 59.02MIN: 17.7 / MAX: 23.7MIN: 21.91 / MAX: 28.81. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0Ryzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X246810SE +/- 0.059, N = 6SE +/- 0.004, N = 3SE +/- 0.059, N = 35.0896.9976.9853.8654.7604.2924.1114.1125.259MIN: 5.02 / MAX: 13.04MIN: 6.81 / MAX: 7.6MIN: 5.86 / MAX: 101.13MIN: 3.81 / MAX: 4.63MIN: 4.54 / MAX: 16.4MIN: 4.22 / MAX: 12.17MIN: 3.69 / MAX: 23.89MIN: 4.08 / MAX: 4.4MIN: 5.19 / MAX: 5.951. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224Ryzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X1.1252.253.3754.55.625SE +/- 0.055, N = 6SE +/- 0.018, N = 3SE +/- 0.041, N = 33.1295.0004.8261.7242.4392.5492.2162.0273.431MIN: 3.1 / MAX: 3.85MIN: 4.84 / MAX: 5.79MIN: 4.15 / MAX: 118.91MIN: 1.67 / MAX: 2.22MIN: 2.31 / MAX: 14.01MIN: 2.46 / MAX: 3.95MIN: 1.9 / MAX: 22.89MIN: 2.01 / MAX: 2.55MIN: 3.36 / MAX: 4.291. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0Ryzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X1.30522.61043.91565.22086.526SE +/- 0.039, N = 6SE +/- 0.007, N = 3SE +/- 0.015, N = 32.4723.2375.8011.5952.3473.0792.0462.3062.502MIN: 2.44 / MAX: 2.6MIN: 3.16 / MAX: 4.09MIN: 4.6 / MAX: 116.95MIN: 1.57 / MAX: 2.03MIN: 2.22 / MAX: 13.86MIN: 2.87 / MAX: 8.47MIN: 1.77 / MAX: 30.14MIN: 2.29 / MAX: 2.59MIN: 2.47 / MAX: 3.221. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3Ryzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X816243240SE +/- 0.19, N = 6SE +/- 0.06, N = 3SE +/- 0.03, N = 325.7934.4833.2822.5529.6624.2827.0824.6426.01MIN: 25.32 / MAX: 32.81MIN: 33.34 / MAX: 42.31MIN: 28.54 / MAX: 154.79MIN: 22.23 / MAX: 33.17MIN: 28.81 / MAX: 42.55MIN: 24.01 / MAX: 37.99MIN: 24.59 / MAX: 77.44MIN: 24.59 / MAX: 27.92MIN: 25.72 / MAX: 30.521. (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

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X5001000150020002500SE +/- 11.74, N = 3SE +/- 5.03, N = 3SE +/- 30.80, N = 32126.712346.052017.291668.031992.301591.251368.851670.462145.24MIN: 1706.2 / MAX: 2453.34MIN: 1886.54 / MAX: 2632.54MIN: 1715.21 / MAX: 2220.91MIN: 1550.58 / MAX: 1755.3MIN: 1698.95 / MAX: 2200.09MIN: 1527.23 / MAX: 1706.84MIN: 998.16 / MAX: 1637.84MIN: 1651.45 / MAX: 1691.16MIN: 1771.66 / MAX: 2371.661. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X30060090012001500SE +/- 1.57, N = 3SE +/- 0.42, N = 3SE +/- 0.28, N = 3819.441362.521406.22657.33730.58389.94332.72389.11820.04MIN: 733.89 / MAX: 843.65MIN: 1339.1 / MAX: 1376.54MIN: 1307.87 / MAX: 1498.4MIN: 638.88 / MAX: 664.91MIN: 492.86 / MAX: 776.15MIN: 298.89 / MAX: 923.96MIN: 298.23 / MAX: 447.88MIN: 329.59 / MAX: 829MIN: 793.27 / MAX: 831.811. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X0.3780.7561.1341.5121.89SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.211.231.190.881.191.460.851.681.21MIN: 0.8 / MAX: 11.78MIN: 0.74 / MAX: 11.28MIN: 0.66 / MAX: 40MIN: 0.58 / MAX: 10.45MIN: 0.71 / MAX: 15.27MIN: 0.94 / MAX: 2.85MIN: 0.46 / MAX: 20.94MIN: 1.01 / MAX: 3.3MIN: 0.76 / MAX: 10.991. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X0.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.660.930.930.540.620.660.330.720.66MIN: 0.4 / MAX: 9.7MIN: 0.56 / MAX: 9.29MIN: 0.54 / MAX: 34.61MIN: 0.33 / MAX: 10.16MIN: 0.39 / MAX: 12.23MIN: 0.48 / MAX: 3.61MIN: 0.19 / MAX: 13.53MIN: 0.5 / MAX: 1.92MIN: 0.39 / MAX: 9.091. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X7001400210028003500SE +/- 4.91, N = 3SE +/- 5.93, N = 3SE +/- 6.13, N = 33177.963345.242872.192206.442775.382082.332258.232135.313177.65MIN: 2488.17 / MAX: 3743.21MIN: 2326.56 / MAX: 3765.68MIN: 2247.77 / MAX: 3169.97MIN: 1950 / MAX: 2464.9MIN: 1785.91 / MAX: 3104.21MIN: 1755.41 / MAX: 2786.42MIN: 1701.31 / MAX: 2503.77MIN: 1959.59 / MAX: 2703.53MIN: 2198.09 / MAX: 3770.211. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X7001400210028003500SE +/- 21.39, N = 3SE +/- 4.19, N = 3SE +/- 14.80, N = 33230.153335.632887.442228.902765.952102.262250.752130.593267.99MIN: 1558.47 / MAX: 3791.92MIN: 2730.21 / MAX: 3819.11MIN: 1479.87 / MAX: 3243.66MIN: 1559.98 / MAX: 2479.16MIN: 1842.04 / MAX: 3083.75MIN: 1758.45 / MAX: 2793.14MIN: 1599.29 / MAX: 2487.58MIN: 1945.31 / MAX: 2683.04MIN: 2219.86 / MAX: 3776.071. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.7527.4728.4413.5414.9012.266.4513.0616.71MIN: 11.09 / MAX: 21.33MIN: 18.76 / MAX: 35.74MIN: 14.9 / MAX: 78.52MIN: 7.08 / MAX: 22.51MIN: 7.33 / MAX: 25.89MIN: 9.88 / MAX: 17.42MIN: 3.62 / MAX: 30.17MIN: 10.18 / MAX: 16.8MIN: 8.06 / MAX: 24.961. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X1122334455SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 318.1920.4518.6714.2917.4246.7725.5749.7118.19MIN: 9.4 / MAX: 28.56MIN: 11.74 / MAX: 39.16MIN: 13.72 / MAX: 70.89MIN: 7.5 / MAX: 24.54MIN: 9.07 / MAX: 30.09MIN: 24.98 / MAX: 59.29MIN: 15.77 / MAX: 54.84MIN: 47.84 / MAX: 51.93MIN: 8.69 / MAX: 26.011. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 311.7916.1616.869.6813.038.196.748.2611.82MIN: 7.87 / MAX: 21.31MIN: 9.15 / MAX: 68.05MIN: 10.76 / MAX: 72.48MIN: 5.23 / MAX: 19.09MIN: 6.64 / MAX: 25.26MIN: 6.68 / MAX: 25.81MIN: 3.45 / MAX: 23.72MIN: 7.26 / MAX: 19.99MIN: 6.54 / MAX: 21.161. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X918273645SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 333.8538.7134.1520.3228.7515.9239.4614.7333.92MIN: 24.98 / MAX: 49.81MIN: 13.3 / MAX: 56.5MIN: 12.29 / MAX: 77.76MIN: 12.41 / MAX: 37.85MIN: 10.6 / MAX: 50.31MIN: 12.39 / MAX: 29.4MIN: 23.24 / MAX: 99.41MIN: 12.62 / MAX: 22.93MIN: 20.26 / MAX: 49.041. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X48121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 312.8914.7016.499.5112.9710.0314.299.7312.94MIN: 6.96 / MAX: 19.37MIN: 12.18 / MAX: 25.15MIN: 8.83 / MAX: 60.21MIN: 7.04 / MAX: 20.4MIN: 7.48 / MAX: 28.4MIN: 8.24 / MAX: 19.8MIN: 7.22 / MAX: 64.94MIN: 8.72 / MAX: 14.88MIN: 10.73 / MAX: 18.831. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X50100150200250SE +/- 0.54, N = 3SE +/- 0.34, N = 3SE +/- 0.84, N = 3206.08212.69201.66139.43172.93113.72117.92112.32221.12MIN: 119.55 / MAX: 247.84MIN: 170.16 / MAX: 263.41MIN: 112.84 / MAX: 328.9MIN: 115.02 / MAX: 161.07MIN: 85.04 / MAX: 215.98MIN: 95.52 / MAX: 207.66MIN: 88.86 / MAX: 191.18MIN: 95.55 / MAX: 163.62MIN: 158.14 / MAX: 257.351. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 7 5800XRyzen 7 5700GCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X1632486480SE +/- 0.28, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 344.8652.1557.4857.4270.3639.8361.2651.8345.04

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.2.2Bulk Size: 100 - Inserts: 1000 - Rounds: 30Ryzen 9 3950XCore i9 12900KCore i9 11900KCore i5 12600KAMD 5950X2040608010084.6065.7274.1071.9269.371. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyCore i9 12900KCore i9 11900KCore i5 12600K30609012015068.67122.78106.82

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyCore i9 12900KCore i9 11900KCore i5 12600K70140210280350196.00329.47302.02

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyCore i9 12900KCore i9 11900KCore i5 12600K408012016020099.83159.04153.91

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 12900KCore i9 11900KCore i5 12600K90180270360450242.03406.46374.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyCore i9 12900KCore i9 11900KCore i5 12600K30060090012001500791.411346.641235.98

FLAC Audio Encoding

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

73 Results Shown

CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  Spaceship
Natron
OpenVINO:
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
7-Zip Compression
7-Zip Compression:
  Compression Rating
  Decompression Rating
WebP Image Encode
WebP Image Encode
WebP Image Encode:
  Default
  Quality 100, Highest Compression
WebP Image Encode
WebP2 Image Encode:
  Quality 75, Compression Effort 7
  Quality 95, Compression Effort 7
  Quality 100, Compression Effort 5
WebP Image Encode
WebP Image Encode
WebP2 Image Encode
WebP Image Encode:
  Quality 100, Lossless, Highest Compression
  Default
WebP Image Encode:
  Quality 100, Lossless
  Quality 100, Lossless, Highest Compression
WebP2 Image Encode
Facebook RocksDB:
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
Facebook RocksDB:
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
Meta Performance Per Watts:
  Performance Per Watts
  VGR Performance Metric
BRL-CAD
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
OpenVINO:
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
Timed PHP Compilation
Apache CouchDB
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
FLAC Audio Encoding