extra cpu tests

Tests for a future article. AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 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 2209060-NE-EXTRACPUT38
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C/C++ Compiler Tests 2 Tests
CPU Massive 3 Tests
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Database Test Suite 2 Tests
HPC - High Performance Computing 2 Tests
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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
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extra cpu testsOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 5700G @ 4.67GHz (8 Cores / 16 Threads)AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)AMD 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)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS)AMD Renoir/CezanneAMD Starship/Matisse32GB2000GB 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 20220319ext43840x2160ProcessorsMotherboardChipsetsMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionExtra Cpu Tests PerformanceSystem Logs- Transparent Huge Pages: madvise- CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"- --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 - 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- Python 3.10.4- 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

Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950XResult OverviewPhoronix Test Suite100%133%165%198%230%Mobile Neural NetworkNatron7-Zip CompressionTimed PHP CompilationOpenVINO

extra cpu testsbuild-php: Time To Compilecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3natron: Spaceshipopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUbrl-cad: VGR Performance Metriccouchdb: 100 - 1000 - 30rocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update RandRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X70.35770302722288.8261.1302.53223.2644.7602.4392.34729.6642.92.001992.305.47730.586674.801.1912657.330.621.432775.381.432765.95536.5514.90229.3717.42306.6513.03138.9828.75307.9012.9723.11172.9357.41879090774626.6260.8832.03118.1183.8651.7241.59522.5533.42.381668.036.08657.339100.450.8814815.540.541.802206.441.782228.90590.5213.54279.6314.29412.789.68196.7620.32420.269.5128.67139.4357.476867758597315.8422.3754.60635.9046.9854.8265.80133.2781.82.952017.294.251406.2210039.391.1912874.870.932.072872.192.052887.44421.7728.44321.0618.67355.6816.86175.5534.15363.5116.4929.73201.6652.1549175712263315.032.2464.34331.5326.99753.23734.4833.13.352346.055.841362.5212887.191.2317110.580.932.353345.242.373335.63582.2927.47390.8920.45494.8416.16206.4638.71543.3314.737.57212.6924920384.603755857203293680226985561842144.8649447814225710.9331.9822.91521.8295.0893.1292.47225.7873.73.732126.719.72819.4413205.421.2124162.820.662.493177.962.453230.15954.6616.75439.5118.19677.8611.79236.0533.85619.7912.8938.8206.0826675245.0399425214175011.6931.9253.22622.3525.2593.4312.50226.013.83.692145.249.74820.0413202.071.2124180.330.662.483177.652.413267.99957.116.71439.5118.19676.4511.82235.5433.92617.7312.9436.13221.1226494869.37210304888240330212764908764612OpenBenchmarking.org

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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X1632486480SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.28, N = 370.3657.4257.4852.1544.8645.04
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X1428425670Min: 70.1 / Avg: 70.36 / Max: 70.5Min: 57.17 / Avg: 57.42 / Max: 57.71Min: 57 / Avg: 57.48 / Max: 57.96

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X20K40K60K80K100KSE +/- 72.13, N = 3SE +/- 72.51, N = 3SE +/- 164.88, N = 37030279090867759175794478942521. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X16K32K48K64K80KMin: 70165 / Avg: 70301.67 / Max: 70410Min: 79016 / Avg: 79090 / Max: 79235Min: 86460 / Avg: 86775 / Max: 870171. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X30K60K90K120K150KSE +/- 179.27, N = 3SE +/- 194.98, N = 3SE +/- 341.93, N = 37222877462859731226331422571417501. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X20K40K60K80K100KMin: 71916 / Avg: 72227.67 / Max: 72537Min: 77152 / Avg: 77462.33 / Max: 77822Min: 85471 / Avg: 85972.67 / Max: 866261. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X48121620SE +/- 0.109, N = 3SE +/- 0.048, N = 3SE +/- 0.161, N = 68.8266.62615.84215.03010.93311.693MIN: 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: 20.191. (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: nasnetRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X48121620Min: 8.68 / Avg: 8.83 / Max: 9.04Min: 6.56 / Avg: 6.63 / Max: 6.72Min: 15.09 / Avg: 15.84 / Max: 16.171. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X0.53441.06881.60322.13762.672SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.015, N = 61.1300.8832.3752.2461.9821.925MIN: 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: 2.331. (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: mobilenetV3Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 1.12 / Avg: 1.13 / Max: 1.15Min: 0.87 / Avg: 0.88 / Max: 0.9Min: 2.33 / Avg: 2.37 / Max: 2.421. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X1.03642.07283.10924.14565.182SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.068, N = 62.5322.0314.6064.3432.9153.226MIN: 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: 3.371. (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: squeezenetv1.1Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 2.5 / Avg: 2.53 / Max: 2.58Min: 2 / Avg: 2.03 / Max: 2.05Min: 4.3 / Avg: 4.61 / Max: 4.781. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X816243240SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 623.2618.1235.9031.5321.8322.35MIN: 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: 28.81. (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: resnet-v2-50Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X816243240Min: 22.9 / Avg: 23.26 / Max: 23.5Min: 17.98 / Avg: 18.12 / Max: 18.36Min: 35.47 / Avg: 35.9 / Max: 36.471. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810SE +/- 0.059, N = 3SE +/- 0.004, N = 3SE +/- 0.059, N = 64.7603.8656.9856.9975.0895.259MIN: 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: 5.951. (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: SqueezeNetV1.0Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X3691215Min: 4.65 / Avg: 4.76 / Max: 4.86Min: 3.86 / Avg: 3.87 / Max: 3.87Min: 6.74 / Avg: 6.98 / Max: 7.21. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X1.1252.253.3754.55.625SE +/- 0.041, N = 3SE +/- 0.018, N = 3SE +/- 0.055, N = 62.4391.7244.8265.0003.1293.431MIN: 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: 4.291. (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: MobileNetV2_224Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 2.39 / Avg: 2.44 / Max: 2.52Min: 1.69 / Avg: 1.72 / Max: 1.75Min: 4.67 / Avg: 4.83 / Max: 5.071. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X1.30522.61043.91565.22086.526SE +/- 0.015, N = 3SE +/- 0.007, N = 3SE +/- 0.039, N = 62.3471.5955.8013.2372.4722.502MIN: 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: 3.221. (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: mobilenet-v1-1.0Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 2.32 / Avg: 2.35 / Max: 2.37Min: 1.58 / Avg: 1.6 / Max: 1.6Min: 5.64 / Avg: 5.8 / Max: 5.931. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X816243240SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 629.6622.5533.2834.4825.7926.01MIN: 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: 30.521. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3Ryzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X714212835Min: 29.6 / Avg: 29.66 / Max: 29.7Min: 22.45 / Avg: 22.55 / Max: 22.64Min: 32.73 / Avg: 33.28 / Max: 33.91. (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

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X0.8551.712.5653.424.275SE +/- 0.02, N = 9SE +/- 0.03, N = 3SE +/- 0.00, N = 32.93.41.83.13.73.8
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 2.9 / Avg: 2.94 / Max: 3.1Min: 3.3 / Avg: 3.37 / Max: 3.4Min: 1.8 / Avg: 1.8 / Max: 1.8

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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X0.83931.67862.51793.35724.1965SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.002.382.953.353.733.691. (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 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 1.95 / Avg: 2 / Max: 2.05Min: 2.37 / Avg: 2.38 / Max: 2.4Min: 2.92 / Avg: 2.95 / Max: 2.971. (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 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X5001000150020002500SE +/- 30.80, N = 3SE +/- 5.03, N = 3SE +/- 11.74, N = 31992.301668.032017.292346.052126.712145.24MIN: 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: 2371.661. (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 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X400800120016002000Min: 1942.51 / Avg: 1992.3 / Max: 2048.61Min: 1658.75 / Avg: 1668.03 / Max: 1676.04Min: 2004.13 / Avg: 2017.29 / Max: 2040.721. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.476.084.255.849.729.741. (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: Face Detection FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X3691215Min: 5.46 / Avg: 5.47 / Max: 5.47Min: 6.08 / Avg: 6.08 / Max: 6.09Min: 4.25 / Avg: 4.25 / Max: 4.261. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X30060090012001500SE +/- 0.28, N = 3SE +/- 0.42, N = 3SE +/- 1.57, N = 3730.58657.331406.221362.52819.44820.04MIN: 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: 831.811. (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: Face Detection FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X2004006008001000Min: 730.06 / Avg: 730.58 / Max: 731.04Min: 656.49 / Avg: 657.33 / Max: 657.8Min: 1403.15 / Avg: 1406.22 / Max: 1408.311. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X3K6K9K12K15KSE +/- 21.83, N = 3SE +/- 29.14, N = 3SE +/- 27.98, N = 36674.809100.4510039.3912887.1913205.4213202.071. (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 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X2K4K6K8K10KMin: 6637.2 / Avg: 6674.8 / Max: 6712.81Min: 9051.27 / Avg: 9100.45 / Max: 9152.12Min: 9985.84 / Avg: 10039.39 / Max: 10080.221. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X0.27680.55360.83041.10721.384SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.190.881.191.231.211.21MIN: 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: 10.991. (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 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 1.18 / Avg: 1.19 / Max: 1.19Min: 0.87 / Avg: 0.88 / Max: 0.88Min: 1.18 / Avg: 1.19 / Max: 1.191. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X5K10K15K20K25KSE +/- 72.04, N = 3SE +/- 15.98, N = 3SE +/- 40.08, N = 312657.3314815.5412874.8717110.5824162.8224180.331. (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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X4K8K12K16K20KMin: 12514.48 / Avg: 12657.33 / Max: 12745.06Min: 14799.19 / Avg: 14815.54 / Max: 14847.51Min: 12799.78 / Avg: 12874.87 / Max: 12936.691. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X0.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.540.930.930.660.66MIN: 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: 9.091. (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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 0.62 / Avg: 0.62 / Max: 0.63Min: 0.53 / Avg: 0.54 / Max: 0.54Min: 0.92 / Avg: 0.93 / Max: 0.931. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X0.56031.12061.68092.24122.8015SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.431.802.072.352.492.481. (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 FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 1.42 / Avg: 1.43 / Max: 1.44Min: 1.79 / Avg: 1.8 / Max: 1.81Min: 2.05 / Avg: 2.07 / Max: 2.081. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X7001400210028003500SE +/- 6.13, N = 3SE +/- 5.93, N = 3SE +/- 4.91, N = 32775.382206.442872.193345.243177.963177.65MIN: 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: 3770.211. (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 FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X6001200180024003000Min: 2765.63 / Avg: 2775.38 / Max: 2786.68Min: 2195.3 / Avg: 2206.44 / Max: 2215.53Min: 2863.41 / Avg: 2872.19 / Max: 2880.391. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X0.55131.10261.65392.20522.7565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.431.782.052.372.452.411. (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: Person Detection FP32 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X246810Min: 1.42 / Avg: 1.43 / Max: 1.45Min: 1.77 / Avg: 1.78 / Max: 1.79Min: 2.02 / Avg: 2.05 / Max: 2.081. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X7001400210028003500SE +/- 14.80, N = 3SE +/- 4.19, N = 3SE +/- 21.39, N = 32765.952228.902887.443335.633230.153267.99MIN: 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: 3776.071. (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: Person Detection FP32 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X6001200180024003000Min: 2742.55 / Avg: 2765.95 / Max: 2793.34Min: 2224.05 / Avg: 2228.9 / Max: 2237.23Min: 2854.46 / Avg: 2887.44 / Max: 2927.531. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X2004006008001000SE +/- 0.36, N = 3SE +/- 0.42, N = 3SE +/- 0.21, N = 3536.55590.52421.77582.29954.66957.101. (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-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X2004006008001000Min: 536.14 / Avg: 536.55 / Max: 537.28Min: 590.06 / Avg: 590.52 / Max: 591.37Min: 421.55 / Avg: 421.77 / Max: 422.191. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.9013.5428.4427.4716.7516.71MIN: 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: 24.961. (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-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X612182430Min: 14.88 / Avg: 14.9 / Max: 14.91Min: 13.52 / Avg: 13.54 / Max: 13.55Min: 28.41 / Avg: 28.44 / Max: 28.451. (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: Weld Porosity Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X100200300400500SE +/- 0.03, N = 3SE +/- 0.44, N = 3SE +/- 0.67, N = 3229.37279.63321.06390.89439.51439.511. (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: Weld Porosity Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X80160240320400Min: 229.3 / Avg: 229.37 / Max: 229.41Min: 278.74 / Avg: 279.63 / Max: 280.11Min: 319.72 / Avg: 321.06 / Max: 321.811. (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: Weld Porosity Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X510152025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 317.4214.2918.6720.4518.1918.19MIN: 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: 26.011. (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: Weld Porosity Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X510152025Min: 17.42 / Avg: 17.42 / Max: 17.43Min: 14.27 / Avg: 14.29 / Max: 14.34Min: 18.63 / Avg: 18.67 / Max: 18.751. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X150300450600750SE +/- 3.62, N = 3SE +/- 0.90, N = 3SE +/- 0.10, N = 3306.65412.78355.68494.84677.86676.451. (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-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X120240360480600Min: 302.05 / Avg: 306.65 / Max: 313.79Min: 411.01 / Avg: 412.78 / Max: 413.89Min: 355.48 / Avg: 355.68 / Max: 355.81. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X48121620SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.039.6816.8616.1611.7911.82MIN: 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: 21.161. (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-INT8 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X48121620Min: 12.73 / Avg: 13.03 / Max: 13.23Min: 9.66 / Avg: 9.68 / Max: 9.72Min: 16.85 / Avg: 16.86 / Max: 16.871. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X50100150200250SE +/- 0.59, N = 3SE +/- 1.21, N = 3SE +/- 0.32, N = 3138.98196.76175.55206.46236.05235.541. (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: Vehicle Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X4080120160200Min: 137.81 / Avg: 138.98 / Max: 139.74Min: 194.5 / Avg: 196.76 / Max: 198.64Min: 175.17 / Avg: 175.55 / Max: 176.181. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X918273645SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 328.7520.3234.1538.7133.8533.92MIN: 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: 49.041. (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: Vehicle Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X816243240Min: 28.59 / Avg: 28.75 / Max: 28.99Min: 20.12 / Avg: 20.32 / Max: 20.55Min: 34.03 / Avg: 34.15 / Max: 34.221. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X130260390520650SE +/- 1.36, N = 3SE +/- 0.78, N = 3SE +/- 0.84, N = 3307.90420.26363.51543.33619.79617.731. (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: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X110220330440550Min: 305.57 / Avg: 307.9 / Max: 310.28Min: 419.31 / Avg: 420.26 / Max: 421.8Min: 362.56 / Avg: 363.51 / Max: 365.181. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X48121620SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 312.979.5116.4914.7012.8912.94MIN: 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: 18.831. (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: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X48121620Min: 12.87 / Avg: 12.97 / Max: 13.07Min: 9.47 / Avg: 9.51 / Max: 9.53Min: 16.41 / Avg: 16.49 / Max: 16.531. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X918273645SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 323.1128.6729.7337.5738.8036.131. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X816243240Min: 22.92 / Avg: 23.11 / Max: 23.31Min: 28.56 / Avg: 28.67 / Max: 28.81Min: 29.62 / Avg: 29.73 / Max: 29.881. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X50100150200250SE +/- 0.84, N = 3SE +/- 0.34, N = 3SE +/- 0.54, N = 3172.93139.43201.66212.69206.08221.12MIN: 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: 257.351. (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 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XAMD 5950X4080120160200Min: 171.47 / Avg: 172.93 / Max: 174.39Min: 138.78 / Avg: 139.43 / Max: 139.9Min: 200.62 / Avg: 201.66 / Max: 202.451. (CXX) g++ options: -fPIC -O3 -march=native -fsigned-char -ffunction-sections -fdata-sections -fno-strict-overflow -fwrapv -flto -shared

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringRyzen 7 5700GRyzen 7 5800XRyzen 9 3900XRyzen 9 3950XAMD 5950X306090120150Min: 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: 146.12

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricRyzen 9 3950XRyzen 9 5950XAMD 5950X60K120K180K240K300K2492032667522649481. (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

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 3950XAMD 5950X2040608010084.6069.371. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadRyzen 9 3950XAMD 5950X20M40M60M80M100M755857201030488821. (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 3950XAMD 5950X900K1800K2700K3600K4500K329368040330211. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomRyzen 9 3950XAMD 5950X600K1200K1800K2400K3000K226985527649081. (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 3950XAMD 5950X160K320K480K640K800K6184217646121. (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 3950XAMD 5950X60K120K180K240K300K229081.17277082.43

44 Results Shown

Timed PHP Compilation
7-Zip Compression:
  Compression Rating
  Decompression Rating
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
Natron
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
CPU Power Consumption Monitor
BRL-CAD
Apache CouchDB
Facebook RocksDB:
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
Meta Performance Per Watts