new new

AMD Ryzen 7 5800X3D 8-Core testing with a ASUS ROG CROSSHAIR VIII HERO (4201 BIOS) and AMD Radeon RX 6700 XT 12GB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2209116-PTS-NEWNEW6341&grr.

new newProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCAMD Ryzen 7 5800X3D 8-Core @ 3.40GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (4201 BIOS)AMD Starship/Matisse32GB1000GB Western Digital WDS100T1X0E-00AFY0AMD Radeon RX 6700 XT 12GB (2855/1000MHz)AMD Navi 21 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 22.045.17.0-1013-oem (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.2.0-devel (git-a9610ab740) (LLVM 13.0.1 DRM 3.44)1.3.219GCC 11.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa20120aGraphics Details- BAR1 / Visible vRAM Size: 12272 MB - vBIOS Version: 113-D5121100-101Python Details- Python 3.10.4Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

new newwebp2: Quality 100, Lossless Compressionblender: Barbershop - CPU-Onlybuild-nodejs: Time To Compilebrl-cad: VGR Performance Metricblender: Pabellon Barcelona - CPU-Onlycouchdb: 300 - 3000 - 30webp2: Quality 95, Compression Effort 7blender: Classroom - CPU-Onlybuild-python: Released Build, PGO + LTO Optimizedcouchdb: 100 - 3000 - 30webp2: Quality 75, Compression Effort 7gravitymark: 1920 x 1080 - OpenGLgravitymark: 1920 x 1080 - Vulkangravitymark: 3840 x 2160 - OpenGLgravitymark: 2560 x 1440 - OpenGLgravitymark: 1920 x 1200 - OpenGLgravitymark: 2560 x 1440 - Vulkangravitymark: 1920 x 1200 - Vulkangravitymark: 3840 x 2160 - Vulkanblender: Fishy Cat - CPU-Onlyblender: BMW27 - CPU-Onlycouchdb: 300 - 1000 - 30mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnetbuild-erlang: Time To Compilecouchdb: 100 - 1000 - 30openvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - 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: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUrocksdb: Rand Fillrocksdb: Read While Writingrocksdb: Rand Fill Syncrocksdb: Read Rand Write Randrocksdb: Update Randrocksdb: Rand Readbuild-wasmer: Time To Compilebuild-php: Time To Compilewebp: Quality 100, Lossless, Highest Compressionnatron: Spaceshipsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: OFDM_Testsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMbuild-python: Defaultsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMencode-flac: WAV To FLACwebp: Quality 100, Losslesssrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMrocksdb: Seq Fillwebp2: Quality 100, Compression Effort 5webp: Quality 100, Highest Compressionwebp2: Defaultwebp: Quality 100webp: DefaultABC0.011337.39519.598154342428.52411.4960.06356.17227.913212.2210.13175.2183.6117.7152.1173.7156.8182.2112167.16135.13128.50421.8361.6551.794.00916.2942.0880.9266.83688.64667.82235.71.782244.191.781704.782.34693.055.74142.5428.068.91448.4314.48276.059.93402.7514.68272.414.24561.570.5514502.790.958387.12108284323599421866519460595795365583111257.27152.7080.673174.2533.5156000000163.5478.9741678326777158.616.592185.853014.6221.72174.547913828343.754.277.6913.2620.510.011339.69521.902153896429.02414.4650.06359.05230.558214.8380.13177.7183.4102.4149.1176.7158.8182.2112.2167.12135.16126.89621.8371.6491.7914.02116.2292.0920.9396.97789.7869.7042235.161.792280.411.751711.22.33690.815.79143.0127.978.92448.2114.58274.239.93402.6714.75271.1214.23561.870.5414566.070.958388.14107616223243871865319776705799615605749857.3752.8270.673.1173.6528160400000162.3476.5744258389774.815416.601182.5521.714.6071.69174.3480.713812783.724.237.6713.0420.620.011338.38520.926153680427.73411.8440.06356.83228.372215.2890.13174.8185102151.9173.5156.6183.9112.2166.83135.07127.85322.1781.6691.8394.04316.2912.1320.9367.04588.96869.8222242.721.782255.651.771699.382.35693.985.76143.4927.878.88450.2314.48276.219.96401.5714.83269.6114.23561.760.5514544.50.958380.37107495223475191865519652135824455587926757.29552.8040.673173.1528.3166200000165484.3743098327675.1156.116.598183526.314.6711.69176.3480.613801243.734.267.7713.1320.78OpenBenchmarking.org

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionABC0.00230.00460.00690.00920.01150.010.010.011. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyABC300600900120015001337.391339.691338.38

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC110220330440550519.60521.90520.93

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricABC30K60K90K120K150K1543421538961536801. (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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyABC90180270360450428.52429.02427.73

Apache CouchDB

Bulk Size: 300 - Inserts: 3000 - Rounds: 30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.2.2Bulk Size: 300 - Inserts: 3000 - Rounds: 30ABC90180270360450411.50414.47411.841. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7ABC0.01350.0270.04050.0540.06750.060.060.061. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyABC80160240320400356.17359.05356.83

Timed CPython Compilation

Build Configuration: Released Build, PGO + LTO Optimized

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedABC50100150200250227.91230.56228.37

Apache CouchDB

Bulk Size: 100 - Inserts: 3000 - Rounds: 30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.2.2Bulk Size: 100 - Inserts: 3000 - Rounds: 30ABC50100150200250212.22214.84215.291. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7ABC0.02930.05860.08790.11720.14650.130.130.131. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

GravityMark

Resolution: 1920 x 1080 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: OpenGLABC4080120160200175.2177.7174.8

GravityMark

Resolution: 1920 x 1080 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: VulkanABC4080120160200183.6183.4185.0

GravityMark

Resolution: 3840 x 2160 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 3840 x 2160 - Renderer: OpenGLABC306090120150117.7102.4102.0

GravityMark

Resolution: 2560 x 1440 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 2560 x 1440 - Renderer: OpenGLABC306090120150152.1149.1151.9

GravityMark

Resolution: 1920 x 1200 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1200 - Renderer: OpenGLABC4080120160200173.7176.7173.5

GravityMark

Resolution: 2560 x 1440 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 2560 x 1440 - Renderer: VulkanABC4080120160200156.8158.8156.6

GravityMark

Resolution: 1920 x 1200 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1200 - Renderer: VulkanABC4080120160200182.2182.2183.9

GravityMark

Resolution: 3840 x 2160 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 3840 x 2160 - Renderer: VulkanABC306090120150112.0112.2112.2

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyABC4080120160200167.16167.12166.83

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyABC306090120150135.13135.16135.07

Apache CouchDB

Bulk Size: 300 - Inserts: 1000 - Rounds: 30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.2.2Bulk Size: 300 - Inserts: 1000 - Rounds: 30ABC306090120150128.50126.90127.851. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ABC51015202521.8421.8422.18MIN: 21.69 / MAX: 22.56MIN: 21.68 / MAX: 30.68MIN: 21.99 / MAX: 30.231. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0ABC0.37550.7511.12651.5021.87751.6551.6491.669MIN: 1.63 / MAX: 2.47MIN: 1.63 / MAX: 2.08MIN: 1.65 / MAX: 2.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224ABC0.41380.82761.24141.65522.0691.7901.7911.839MIN: 1.77 / MAX: 2.48MIN: 1.77 / MAX: 2.47MIN: 1.81 / MAX: 2.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0ABC0.90971.81942.72913.63884.54854.0094.0214.043MIN: 3.96 / MAX: 11.74MIN: 3.99 / MAX: 4.18MIN: 4.01 / MAX: 4.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50ABC4812162016.2916.2316.29MIN: 16.1 / MAX: 17.64MIN: 16.02 / MAX: 25.1MIN: 16.15 / MAX: 25.11. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1ABC0.47970.95941.43911.91882.39852.0882.0922.132MIN: 2.05 / MAX: 9.9MIN: 2.05 / MAX: 9.18MIN: 2.1 / MAX: 2.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3ABC0.21130.42260.63390.84521.05650.9260.9390.936MIN: 0.91 / MAX: 1.32MIN: 0.93 / MAX: 1.11MIN: 0.92 / MAX: 1.181. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetABC2468106.8366.9777.045MIN: 6.77 / MAX: 7.56MIN: 6.91 / MAX: 7.76MIN: 6.97 / MAX: 8.191. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Timed Erlang/OTP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC2040608010088.6589.7888.97

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.2.2Bulk Size: 100 - Inserts: 1000 - Rounds: 30ABC163248648067.8069.7069.821. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC50010001500200025002235.702235.162242.72MIN: 2063.65 / MAX: 2382.7MIN: 2017.96 / MAX: 2392.83MIN: 2070.83 / MAX: 2391.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC0.40280.80561.20841.61122.0141.781.791.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC50010001500200025002244.192280.412255.65MIN: 2049.73 / MAX: 2387.93MIN: 2123.83 / MAX: 2416.94MIN: 2007.08 / MAX: 2440.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC0.40050.8011.20151.6022.00251.781.751.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC4008001200160020001704.781711.201699.38MIN: 1644.25 / MAX: 1725.99MIN: 1648.89 / MAX: 1728.06MIN: 1643.49 / MAX: 1718.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC0.52881.05761.58642.11522.6442.342.332.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC150300450600750693.05690.81693.98MIN: 678.32 / MAX: 702.57MIN: 678.51 / MAX: 702.72MIN: 679.36 / MAX: 702.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC1.30282.60563.90845.21126.5145.745.795.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC306090120150142.54143.01143.49MIN: 122.84 / MAX: 151.73MIN: 119.9 / MAX: 151.87MIN: 116.71 / MAX: 153.51. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC71421283528.0627.9727.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC2468108.918.928.88MIN: 7.33 / MAX: 13.57MIN: 7.05 / MAX: 12.89MIN: 7.04 / MAX: 16.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC100200300400500448.43448.21450.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC4812162014.4814.5814.48MIN: 12.1 / MAX: 24.07MIN: 7.78 / MAX: 22.32MIN: 12.46 / MAX: 23.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC60120180240300276.05274.23276.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC36912159.939.939.96MIN: 6.68 / MAX: 17.98MIN: 5.6 / MAX: 16.32MIN: 7.83 / MAX: 13.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC90180270360450402.75402.67401.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC4812162014.6814.7514.83MIN: 7.85 / MAX: 24.43MIN: 7.83 / MAX: 23.29MIN: 11.21 / MAX: 22.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC60120180240300272.40271.12269.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC4812162014.2414.2314.23MIN: 8.88 / MAX: 22.51MIN: 7.42 / MAX: 22.21MIN: 7.02 / MAX: 17.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC120240360480600561.57561.87561.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC0.12380.24760.37140.49520.6190.550.540.55MIN: 0.36 / MAX: 2.11MIN: 0.35 / MAX: 8.76MIN: 0.35 / MAX: 1.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC3K6K9K12K15K14502.7914566.0714544.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC0.21380.42760.64140.85521.0690.950.950.95MIN: 0.6 / MAX: 9.81MIN: 0.6 / MAX: 9.6MIN: 0.58 / MAX: 9.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC2K4K6K8K10K8387.128388.148380.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Facebook RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random FillABC200K400K600K800K1000K1082843107616210749521. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingABC500K1000K1500K2000K2500K2359942232438723475191. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random Fill SyncABC4K8K12K16K20K1866518653186551. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomABC400K800K1200K1600K2000K1946059197767019652131. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomABC120K240K360K480K600K5795365799615824451. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadABC12M24M36M48M60M5583111256057498558792671. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Timed Wasmer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC132639526557.2757.3757.301. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABC122436486052.7152.8352.80

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionABC0.15080.30160.45240.60320.7540.670.670.671. (CC) gcc options: -fvisibility=hidden -O2 -lm

Natron

Input: Spaceship

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipABC0.69751.3952.09252.793.48753.03.13.0

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMABC4080120160200174.2173.6173.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMABC120240360480600533.5528.0528.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

srsRAN

Test: OFDM_Test

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestABC40M80M120M160M200M1560000001604000001662000001. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMABC4080120160200163.5162.3165.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMABC100200300400500478.9476.5484.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABC16K32K48K64K80K7416774425743091. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABC20K40K60K80K100K8326783897832761. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMABC2040608010077.074.875.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMABC4080120160200158.6154.0156.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Timed CPython Compilation

Build Configuration: Default

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultABC4812162016.5916.6016.60

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMABC4080120160200185.8182.5183.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMABC110220330440550530.0521.7526.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACABC4812162014.6214.6114.671. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessABC0.3870.7741.1611.5481.9351.721.691.691. (CC) gcc options: -fvisibility=hidden -O2 -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMABC4080120160200174.5174.3176.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMABC100200300400500479.0480.7480.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Facebook RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Sequential FillABC300K600K900K1200K1500K1382834138127813801241. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5ABC0.84381.68762.53143.37524.2193.753.723.731. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionABC0.96081.92162.88243.84324.8044.274.234.261. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultABC2468107.697.677.771. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100ABC369121513.2613.0413.131. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultABC51015202520.5120.6220.781. (CC) gcc options: -fvisibility=hidden -O2 -lm


Phoronix Test Suite v10.8.4