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&grt.

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 newcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingcouchdb: 100 - 1000 - 30couchdb: 100 - 3000 - 30couchdb: 300 - 1000 - 30couchdb: 300 - 3000 - 30blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlybrl-cad: VGR Performance Metricrocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randencode-flac: WAV To FLACgravitymark: 1920 x 1080 - OpenGLgravitymark: 1920 x 1080 - Vulkangravitymark: 1920 x 1200 - OpenGLgravitymark: 1920 x 1200 - Vulkangravitymark: 2560 x 1440 - OpenGLgravitymark: 2560 x 1440 - Vulkangravitymark: 3840 x 2160 - OpenGLgravitymark: 3840 x 2160 - Vulkanmnn: 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: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - 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 - CPUsrsran: OFDM_Testsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMbuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-erlang: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-wasmer: Time To Compilewebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionwebp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless CompressionABC832677416767.8212.221128.504411.496135.13356.17167.161337.39428.521543421082843558311125795361382834186652359942194605914.622175.2183.6173.7182.2152.1156.8117.71126.8360.9262.08816.2944.0091.791.65521.83632.341704.781.782235.71.782244.19272.414.685.74693.05402.759.93276.0514.4828.06142.54561.5714.24448.438.918387.120.9514502.790.55156000000478.9163.5479174.5533.5174.2530185.8158.67716.592227.91388.646519.59852.70857.27120.5113.261.724.270.677.690.130.063.750.01838977442569.704214.838126.896414.465135.16359.05167.121339.69429.021538961076162560574985799611381278186532324387197767014.607177.7183.4176.7182.2149.1158.8102.4112.26.9770.9392.09216.2294.0211.7911.64921.8373.12.331711.21.792235.161.752280.41271.1214.755.79690.81402.679.93274.2314.5827.97143.01561.8714.23448.218.928388.140.9514566.070.54160400000476.5162.3480.7174.3528173.6521.7182.515474.816.601230.55889.78521.90252.82757.3720.6213.041.694.230.677.670.130.063.720.01832767430969.822215.289127.853411.844135.07356.83166.831338.38427.731536801074952558792675824451380124186552347519196521314.671174.8185173.5183.9151.9156.6102112.27.0450.9362.13216.2914.0431.8391.66922.17832.351699.381.782242.721.772255.65269.6114.835.76693.98401.579.96276.2114.4827.87143.49561.7614.23450.238.888380.370.9514544.50.55166200000484.3165480.6176.3528.3173.1526.3183156.175.116.598228.37288.968520.92652.80457.29520.7813.131.694.260.677.770.130.063.730.01OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

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

7-Zip Compression

Test: Decompression Rating

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

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

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

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

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

Blender

Blend File: Classroom - Compute: CPU-Only

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

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: Barbershop - Compute: CPU-Only

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

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

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: 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

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: 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

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 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: 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

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

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: 1920 x 1200 - Renderer: OpenGL

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

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: 2560 x 1440 - Renderer: OpenGL

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

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: 3840 x 2160 - Renderer: OpenGL

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

GravityMark

Resolution: 3840 x 2160 - Renderer: Vulkan

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

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

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: 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: 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: SqueezeNetV1.0

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: 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: 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: 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

Natron

Input: Spaceship

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

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 - 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: 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 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 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: 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: 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: 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: 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: 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: 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-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: 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: 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: 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: 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: 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: 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: 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: 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: 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

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-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-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

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.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

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 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

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 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: 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 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

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: 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

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

Timed CPython Compilation

Build Configuration: Default

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

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

Timed Erlang/OTP Compilation

Time To Compile

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

Timed Node.js Compilation

Time To Compile

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

Timed PHP Compilation

Time To Compile

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

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

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

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: 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

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

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

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

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

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

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

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


Phoronix Test Suite v10.8.5