dd

AMD Ryzen Threadripper 2950X 16-Core testing with a MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS) and AMD FirePro V4900 1GB 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 2209053-NE-DD689483266
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September 04 2022
  2 Hours, 36 Minutes
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September 04 2022
  8 Hours, 29 Minutes
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September 05 2022
  2 Hours, 38 Minutes
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ddOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS)AMD 17h32GBSamsung SSD 970 EVO 250GBAMD FirePro V4900 1GBRealtek ALC1220DELL S2409W2 x Intel I211 + Intel-AC 9260Ubuntu 22.045.19.0-051900rc7-generic (x86_64)GNOME Shell 42.2X Server + Wayland3.3 Mesa 22.0.1 (LLVM 13.0.1)1.2.204GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionDd BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x800820d- Python 3.10.4- 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 vulnerable + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%103%105%108%110%C-BloscRedisNatronClickHouseMobile Neural Network7-Zip CompressionGraphicsMagickmemtier_benchmarkTimed Wasmer CompilationNCNNDragonflydbTimed PHP CompilationTimed CPython CompilationTimed Erlang/OTP CompilationUnpacking The Linux KernelTimed Node.js Compilation

ddredis: LPOP - 500redis: GET - 50clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cachegraphics-magick: Resizingblosc: blosclz bitshufflemnn: squeezenetv1.1memtier-benchmark: Redis - 50 - 1:1blosc: blosclz shufflenatron: Spaceshipclickhouse: 100M Rows Web Analytics Dataset, Third Runredis: SADD - 50mnn: SqueezeNetV1.0mnn: nasnetncnn: CPU - alexnetcompress-7zip: Compression Ratingmemtier-benchmark: Redis - 50 - 1:5ncnn: CPU - vgg16graphics-magick: Rotateredis: GET - 500mnn: MobileNetV2_224mnn: mobilenetV3ncnn: CPU - resnet50memtier-benchmark: Redis - 100 - 1:5ncnn: CPU - mobilenetredis: SET - 500memtier-benchmark: Redis - 100 - 5:1memtier-benchmark: Redis - 100 - 1:1ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - resnet18redis: SADD - 500ncnn: CPU - googlenetmnn: inception-v3graphics-magick: HWB Color Spacencnn: CPU - yolov4-tinyclickhouse: 100M Rows Web Analytics Dataset, Second Runredis: SET - 1000mnn: mobilenet-v1-1.0mnn: resnet-v2-50ncnn: CPU - squeezenet_ssdncnn: CPU-v2-v2 - mobilenet-v2redis: GET - 1000redis: LPUSH - 1000redis: LPOP - 1000redis: LPUSH - 50memtier-benchmark: Redis - 50 - 1:10memtier-benchmark: Redis - 50 - 5:1ncnn: CPU - FastestDetncnn: CPU - efficientnet-b0dragonflydb: 200 - 1:1compress-7zip: Decompression Ratingbuild-wasmer: Time To Compilegraphics-magick: Swirlredis: SADD - 1000redis: LPUSH - 500graphics-magick: Noise-Gaussianncnn: CPU - vision_transformerredis: SET - 50dragonflydb: 50 - 5:1dragonflydb: 50 - 1:1ncnn: CPU - blazefacencnn: CPU - shufflenet-v2graphics-magick: Enhancedgraphics-magick: Sharpenbuild-python: Defaultdragonflydb: 50 - 1:5build-php: Time To Compiledragonflydb: 200 - 1:5memtier-benchmark: Redis - 100 - 1:10ncnn: CPU - mnasnetncnn: CPU - regnety_400mbuild-python: Released Build, PGO + LTO Optimizedbuild-erlang: Time To Compileunpack-linux: linux-5.19.tar.xzdragonflydb: 200 - 5:1build-nodejs: Time To Compileredis: LPOP - 50ABC2011703.752170837.25138.6813396339.97.781394909.7410996.33.5159.671552080.2512.12825.3859.9855441466205.0341.885751802418.757.4873.81228.111349636.220.971428066.621308608.051270555.548.3415.131600889.519.3748.37485529.61166.341396143.754.92639.424238.871728821.121209420.881144200.51249553.881432651.671268421.7813.1111.762247495.679989773.1056761564936.121200156371250.641434252.122190001.732267640.824.4210.4332723220.672412490.567.3032434370.871437400.834.47316.547125.2588.1922205321.56532.2682069145.251959886.751731568.22162.6611955812.87.8401277473.5910063.53.7166.041600098.1611.92525.61910.54810471383710.2139.895881774367.587.2913.73027.111393726.5020.771397566.631268594.521313761.248.6215.641550504.5620.0247.41186030.11164.861372713.124.78538.64823.169.041690558.131189781.751172062.871273818.751427107.531241557.1712.8511.982283994.819872072.2386721561814.831211163.96369253.671423247.862198205.742277538.914.4710.3232523020.6482426523.6667.1012419523.431435342.558.3134.60317.627125.2258.1932205172.79532.6831903927.271201107.251759827.25147.2313056462.77.0741272617.3810969.23.8172.761676789.3811.23824.03810.54862561416679.7539.565561706282.257.0993.62626.751411496.8120.061369324.881255356.591267846.628.6415.671604495.6220.0246.81883329.17161.391414195.624.83438.30222.559.11733953.512201781150382.381276901.121458052.61251367.4713.0611.962277491.6210025272.0056661585014.621217425.88366250.391441446.52217374.42294508.374.4710.3232423020.8252429264.0666.8732424152.371428736.598.3634.63317.891124.7868.212202224.45532.181160275.12OpenBenchmarking.org

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 500ABC400K800K1200K1600K2000KSE +/- 9520.60, N = 32011703.751959886.751201107.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 500ABC300K600K900K1200K1500KMin: 1949504.62 / Avg: 1959886.75 / Max: 1978901.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 50ABC500K1000K1500K2000K2500KSE +/- 19344.78, N = 152170837.251731568.221759827.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 50ABC400K800K1200K1600K2000KMin: 1574881 / Avg: 1731568.22 / Max: 1825449.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheABC4080120160200SE +/- 1.86, N = 4138.68162.66147.23MIN: 12.58 / MAX: 3333.33MIN: 14.62 / MAX: 10000MIN: 14.72 / MAX: 25001. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheABC306090120150Min: 157.46 / Avg: 162.66 / Max: 165.881. ClickHouse server version 22.5.4.19 (official build).

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingABC30060090012001500SE +/- 0.58, N = 31339119513051. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingABC2004006008001000Min: 1194 / Avg: 1195 / Max: 11961. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleABC14002800420056007000SE +/- 16.43, N = 36339.95812.86462.71. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleABC11002200330044005500Min: 5791.9 / Avg: 5812.8 / Max: 5845.21. (CC) gcc options: -std=gnu99 -O3 -lrt -lm

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1ABC246810SE +/- 0.067, N = 37.7807.8407.074MIN: 7.67 / MAX: 8.99MIN: 7.65 / MAX: 17.68MIN: 6.99 / MAX: 10.781. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1ABC3691215Min: 7.77 / Avg: 7.84 / Max: 7.971. (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

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1ABC300K600K900K1200K1500KSE +/- 3409.70, N = 31394909.741277473.591272617.381. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1ABC200K400K600K800K1000KMin: 1270850 / Avg: 1277473.59 / Max: 1282190.441. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleABC2K4K6K8K10KSE +/- 13.20, N = 310996.310063.510969.21. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleABC2K4K6K8K10KMin: 10047.1 / Avg: 10063.47 / Max: 10089.61. (CC) gcc options: -std=gnu99 -O3 -lrt -lm

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: SpaceshipABC0.8551.712.5653.424.275SE +/- 0.04, N = 53.53.73.8
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipABC246810Min: 3.6 / Avg: 3.66 / Max: 3.8

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunABC4080120160200SE +/- 1.94, N = 4159.67166.04172.76MIN: 14.6 / MAX: 7500MIN: 14.6 / MAX: 20000MIN: 14.8 / MAX: 100001. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunABC306090120150Min: 163.66 / Avg: 166.04 / Max: 171.831. ClickHouse server version 22.5.4.19 (official build).

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 50ABC400K800K1200K1600K2000KSE +/- 14391.87, N = 31552080.251600098.161676789.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 50ABC300K600K900K1200K1500KMin: 1571344.62 / Avg: 1600098.16 / Max: 1615616.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: SqueezeNetV1.0ABC3691215SE +/- 0.13, N = 312.1311.9311.24MIN: 11.98 / MAX: 14.82MIN: 11.56 / MAX: 13.56MIN: 11.1 / MAX: 12.551. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0ABC48121620Min: 11.72 / Avg: 11.92 / Max: 12.171. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetABC612182430SE +/- 0.23, N = 325.3925.6224.04MIN: 25.21 / MAX: 36.06MIN: 25.06 / MAX: 36.43MIN: 23.83 / MAX: 34.371. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetABC612182430Min: 25.24 / Avg: 25.62 / Max: 26.041. (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

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC3691215SE +/- 0.02, N = 39.9010.5410.54MIN: 9.66 / MAX: 13.09MIN: 10.25 / MAX: 12.35MIN: 10.39 / MAX: 12.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC3691215Min: 10.5 / Avg: 10.54 / Max: 10.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 RatingABC20K40K60K80K100KSE +/- 254.05, N = 38554481047862561. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABC15K30K45K60K75KMin: 80542 / Avg: 81046.67 / Max: 813501. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5ABC300K600K900K1200K1500KSE +/- 6138.12, N = 31466205.031383710.211416679.751. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5ABC300K600K900K1200K1500KMin: 1373974.45 / Avg: 1383710.21 / Max: 1395054.261. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC1020304050SE +/- 0.09, N = 341.8839.8939.56MIN: 41.05 / MAX: 44.46MIN: 38.98 / MAX: 51.68MIN: 38.98 / MAX: 45.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC918273645Min: 39.71 / Avg: 39.89 / Max: 401. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateABC130260390520650SE +/- 4.33, N = 35755885561. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateABC100200300400500Min: 579 / Avg: 587.67 / Max: 5921. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 500ABC400K800K1200K1600K2000KSE +/- 22010.54, N = 31802418.751774367.581706282.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 500ABC300K600K900K1200K1500KMin: 1730793.62 / Avg: 1774367.58 / Max: 1801574.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: MobileNetV2_224ABC246810SE +/- 0.072, N = 37.4877.2917.099MIN: 7.4 / MAX: 17.35MIN: 7.12 / MAX: 54.74MIN: 7.04 / MAX: 8.361. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224ABC3691215Min: 7.21 / Avg: 7.29 / Max: 7.441. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3ABC0.85771.71542.57313.43084.2885SE +/- 0.012, N = 33.8123.7303.626MIN: 3.77 / MAX: 4.91MIN: 3.67 / MAX: 14.51MIN: 3.58 / MAX: 14.141. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3ABC246810Min: 3.71 / Avg: 3.73 / Max: 3.751. (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

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABC714212835SE +/- 0.08, N = 328.1127.1126.75MIN: 27.19 / MAX: 30.07MIN: 26.15 / MAX: 31.03MIN: 26.38 / MAX: 27.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABC612182430Min: 26.96 / Avg: 27.11 / Max: 27.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5ABC300K600K900K1200K1500KSE +/- 11403.53, N = 31349636.201393726.501411496.811. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5ABC200K400K600K800K1000KMin: 1371072.63 / Avg: 1393726.5 / Max: 1407338.851. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetABC510152025SE +/- 0.14, N = 320.9720.7720.06MIN: 20.56 / MAX: 22.16MIN: 19.71 / MAX: 25MIN: 19.68 / MAX: 25.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetABC510152025Min: 20.55 / Avg: 20.77 / Max: 21.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 500ABC300K600K900K1200K1500KSE +/- 9834.28, N = 31428066.621397566.631369324.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 500ABC200K400K600K800K1000KMin: 1379182.88 / Avg: 1397566.63 / Max: 1412813.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500KSE +/- 14143.51, N = 31308608.051268594.521255356.591. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1ABC200K400K600K800K1000KMin: 1252896.7 / Avg: 1268594.52 / Max: 1296822.351. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1ABC300K600K900K1200K1500KSE +/- 6589.33, N = 31270555.541313761.241267846.621. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1ABC200K400K600K800K1000KMin: 1305744.23 / Avg: 1313761.24 / Max: 1326828.081. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC246810SE +/- 0.04, N = 38.348.628.64MIN: 8.17 / MAX: 10.78MIN: 8.45 / MAX: 10.16MIN: 8.51 / MAX: 9.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC3691215Min: 8.58 / Avg: 8.62 / Max: 8.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC48121620SE +/- 0.17, N = 315.1315.6415.67MIN: 14.88 / MAX: 16.02MIN: 14.82 / MAX: 24.43MIN: 14.86 / MAX: 33.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC48121620Min: 15.45 / Avg: 15.64 / Max: 15.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 500ABC300K600K900K1200K1500KSE +/- 11607.32, N = 151600889.501550504.561604495.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 500ABC300K600K900K1200K1500KMin: 1486352.5 / Avg: 1550504.56 / Max: 1604959.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABC510152025SE +/- 0.34, N = 319.3720.0220.02MIN: 19.19 / MAX: 20.48MIN: 19.17 / MAX: 29.91MIN: 19.43 / MAX: 24.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABC510152025Min: 19.36 / Avg: 20.02 / Max: 20.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: inception-v3ABC1122334455SE +/- 0.14, N = 348.3747.4146.82MIN: 47.98 / MAX: 57.44MIN: 46.53 / MAX: 82.21MIN: 46.56 / MAX: 55.771. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ABC1020304050Min: 47.15 / Avg: 47.41 / Max: 47.631. (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

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceABC2004006008001000SE +/- 0.88, N = 38558608331. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceABC150300450600750Min: 859 / Avg: 860.33 / Max: 8621. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABC714212835SE +/- 0.36, N = 329.6130.1129.17MIN: 28.76 / MAX: 31.56MIN: 28.47 / MAX: 41.72MIN: 27.9 / MAX: 32.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABC714212835Min: 29.48 / Avg: 30.11 / Max: 30.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunABC4080120160200SE +/- 2.40, N = 4166.34164.86161.39MIN: 14.66 / MAX: 10000MIN: 14.67 / MAX: 15000MIN: 14.87 / MAX: 40001. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunABC306090120150Min: 160.45 / Avg: 164.86 / Max: 171.691. ClickHouse server version 22.5.4.19 (official build).

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 1000ABC300K600K900K1200K1500KSE +/- 15570.91, N = 41396143.751372713.121414195.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 1000ABC200K400K600K800K1000KMin: 1327012.5 / Avg: 1372713.12 / Max: 1395521.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: mobilenet-v1-1.0ABC1.10842.21683.32524.43365.542SE +/- 0.039, N = 34.9264.7854.834MIN: 4.86 / MAX: 6.15MIN: 4.67 / MAX: 6.08MIN: 4.77 / MAX: 6.11. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0ABC246810Min: 4.74 / Avg: 4.79 / Max: 4.861. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50ABC918273645SE +/- 0.07, N = 339.4238.6538.30MIN: 38.99 / MAX: 48.62MIN: 38.04 / MAX: 49.13MIN: 37.96 / MAX: 48.791. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50ABC816243240Min: 38.52 / Avg: 38.65 / Max: 38.781. (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

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABC612182430SE +/- 0.15, N = 323.0023.1622.55MIN: 22.23 / MAX: 24.69MIN: 22.38 / MAX: 27.2MIN: 22.23 / MAX: 23.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABC510152025Min: 22.89 / Avg: 23.16 / Max: 23.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC3691215SE +/- 0.06, N = 38.879.049.10MIN: 8.73 / MAX: 10.16MIN: 8.81 / MAX: 35.14MIN: 8.92 / MAX: 16.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC3691215Min: 8.94 / Avg: 9.04 / Max: 9.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 1000ABC400K800K1200K1600K2000KSE +/- 17921.58, N = 151728821.121690558.131733953.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 1000ABC300K600K900K1200K1500KMin: 1560878.62 / Avg: 1690558.13 / Max: 1784483.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 1000ABC300K600K900K1200K1500KSE +/- 6105.09, N = 31209420.881189781.751220178.001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 1000ABC200K400K600K800K1000KMin: 1179739.38 / Avg: 1189781.75 / Max: 1200817.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 1000ABC300K600K900K1200K1500KSE +/- 2476.57, N = 31144200.501172062.871150382.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 1000ABC200K400K600K800K1000KMin: 1168983.62 / Avg: 1172062.87 / Max: 1176962.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 50ABC300K600K900K1200K1500KSE +/- 12477.66, N = 31249553.881273818.751276901.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 50ABC200K400K600K800K1000KMin: 1259309.75 / Avg: 1273818.75 / Max: 1298657.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10ABC300K600K900K1200K1500KSE +/- 1183.80, N = 31432651.671427107.531458052.601. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10ABC300K600K900K1200K1500KMin: 1425543.31 / Avg: 1427107.53 / Max: 1429428.811. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1ABC300K600K900K1200K1500KSE +/- 7025.75, N = 31268421.781241557.171251367.471. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1ABC200K400K600K800K1000KMin: 1232325.5 / Avg: 1241557.17 / Max: 1255347.21. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetABC3691215SE +/- 0.13, N = 313.1112.8513.06MIN: 12.47 / MAX: 13.77MIN: 11.86 / MAX: 14.58MIN: 12.71 / MAX: 13.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetABC48121620Min: 12.61 / Avg: 12.85 / Max: 13.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABC3691215SE +/- 0.21, N = 311.7611.9811.96MIN: 11.57 / MAX: 26.48MIN: 11.6 / MAX: 49.88MIN: 11.5 / MAX: 35.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABC3691215Min: 11.74 / Avg: 11.98 / Max: 12.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:1ABC500K1000K1500K2000K2500KSE +/- 10702.01, N = 32247495.672283994.812277491.621. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:1ABC400K800K1200K1600K2000KMin: 2265612.41 / Avg: 2283994.81 / Max: 2302681.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: Decompression RatingABC20K40K60K80K100KSE +/- 15.45, N = 399897987201002521. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABC20K40K60K80K100KMin: 98690 / Avg: 98719.67 / Max: 987421. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC1632486480SE +/- 0.21, N = 373.1172.2472.011. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC1428425670Min: 71.94 / Avg: 72.24 / Max: 72.631. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlABC150300450600750SE +/- 2.33, N = 36766726661. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlABC120240360480600Min: 670 / Avg: 672.33 / Max: 6771. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 1000ABC300K600K900K1200K1500KSE +/- 8367.24, N = 31564936.121561814.831585014.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SADD - Parallel Connections: 1000ABC300K600K900K1200K1500KMin: 1545784.5 / Avg: 1561814.83 / Max: 1573989.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 500ABC300K600K900K1200K1500KSE +/- 11421.94, N = 31200156.001211163.961217425.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPUSH - Parallel Connections: 500ABC200K400K600K800K1000KMin: 1192598.75 / Avg: 1211163.96 / Max: 12319741. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianABC80160240320400SE +/- 0.58, N = 33713693661. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianABC70140210280350Min: 368 / Avg: 369 / Max: 3701. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC60120180240300SE +/- 0.67, N = 3250.64253.67250.39MIN: 199.87 / MAX: 286.61MIN: 210.05 / MAX: 291.97MIN: 196.68 / MAX: 298.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC50100150200250Min: 252.43 / Avg: 253.67 / Max: 254.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 50ABC300K600K900K1200K1500KSE +/- 11997.22, N = 151434252.121423247.861441446.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: SET - Parallel Connections: 50ABC200K400K600K800K1000KMin: 1340758.25 / Avg: 1423247.86 / Max: 1489185.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1ABC500K1000K1500K2000K2500KSE +/- 1578.21, N = 32190001.732198205.742217374.401. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1ABC400K800K1200K1600K2000KMin: 2195173.67 / Avg: 2198205.74 / Max: 2200481.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1ABC500K1000K1500K2000K2500KSE +/- 3075.15, N = 32267640.822277538.912294508.371. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1ABC400K800K1200K1600K2000KMin: 2272886.07 / Avg: 2277538.91 / Max: 2283348.571. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC1.00582.01163.01744.02325.029SE +/- 0.07, N = 34.424.474.47MIN: 4.34 / MAX: 5.02MIN: 4.23 / MAX: 8.98MIN: 4.39 / MAX: 5.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC246810Min: 4.32 / Avg: 4.47 / Max: 4.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC3691215SE +/- 0.05, N = 310.4310.3210.32MIN: 10.03 / MAX: 49.05MIN: 10.12 / MAX: 12.33MIN: 10.24 / MAX: 11.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC3691215Min: 10.22 / Avg: 10.32 / Max: 10.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedABC70140210280350SE +/- 0.33, N = 33273253241. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedABC60120180240300Min: 325 / Avg: 325.33 / Max: 3261. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenABC50100150200250SE +/- 0.58, N = 32322302301. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenABC4080120160200Min: 229 / Avg: 230 / Max: 2311. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultABC51015202520.6720.6520.83

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5ABC500K1000K1500K2000K2500KSE +/- 7513.57, N = 32412490.502426523.662429264.061. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5ABC400K800K1200K1600K2000KMin: 2418067.19 / Avg: 2426523.66 / Max: 2441509.551. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 CompileABC1530456075SE +/- 0.34, N = 367.3067.1066.87
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABC1326395265Min: 66.74 / Avg: 67.1 / Max: 67.78

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:5ABC500K1000K1500K2000K2500KSE +/- 8148.15, N = 32434370.872419523.432424152.371. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:5ABC400K800K1200K1600K2000KMin: 2404507.44 / Avg: 2419523.43 / Max: 2432514.761. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10ABC300K600K900K1200K1500KSE +/- 7948.61, N = 31437400.801435342.551428736.591. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is Bettermemtier_benchmark 1.4Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10ABC200K400K600K800K1000KMin: 1423555.88 / Avg: 1435342.55 / Max: 1450474.221. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetBC246810SE +/- 0.05, N = 38.318.36MIN: 8.1 / MAX: 20.77MIN: 8.25 / MAX: 9.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetBC3691215Min: 8.22 / Avg: 8.31 / Max: 8.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABC816243240SE +/- 0.03, N = 334.4734.6034.63MIN: 33.94 / MAX: 47.39MIN: 33.77 / MAX: 82.78MIN: 34.16 / MAX: 59.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABC714212835Min: 34.55 / Avg: 34.6 / Max: 34.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedABC70140210280350316.55317.63317.89

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC306090120150SE +/- 0.19, N = 3125.26125.23124.79
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC20406080100Min: 124.95 / Avg: 125.23 / Max: 125.59

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel source tree package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzABC246810SE +/- 0.042, N = 48.1928.1938.210
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzABC3691215Min: 8.1 / Avg: 8.19 / Max: 8.3

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 5:1ABC500K1000K1500K2000K2500KSE +/- 2396.52, N = 32205321.562205172.792202224.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 5:1ABC400K800K1200K1600K2000KMin: 2201381.99 / Avg: 2205172.79 / Max: 2209608.341. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC120240360480600SE +/- 1.03, N = 3532.27532.68532.18
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC90180270360450Min: 531.52 / Avg: 532.68 / Max: 534.73

memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 50ABC400K800K1200K1600K2000KSE +/- 72865.33, N = 152069145.251903927.271160275.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: LPOP - Parallel Connections: 50ABC400K800K1200K1600K2000KMin: 1171749.5 / Avg: 1903927.27 / Max: 2098673.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3