3700x july

AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB on Ubuntu 20.04 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 2107315-IB-3700XJULY72
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3700x julyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100HIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.045.8.1-050801-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.94.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 Graphics Details- 1: GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)Python Details- Python 3.8.5Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%105%109%114%Facebook RocksDBPostgreSQL pgbenchNatronApache CassandraC-BloscYafaRayNCNNMobile Neural NetworkTNNRenaissance

3700x julyunvanquished: 1920 x 1080 - Highcassandra: Readspgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - Read Writecassandra: Mixed 1:3pgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writemnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3rocksdb: Rand Fill Syncrenaissance: Akka Unbalanced Cobwebbed Treetnn: CPU - DenseNetrenaissance: Apache Spark PageRankcassandra: Mixed 1:1natron: Spaceshiprenaissance: ALS Movie Lensrenaissance: Scala Dottyyafaray: Total Time For Sample Scenerocksdb: Rand Fillrenaissance: Apache Spark Bayescassandra: Writespgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Onlyrenaissance: Savina Reactors.IOpgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlyncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: Apache Spark ALSrenaissance: In-Memory Database Shootoutrocksdb: Update Randrocksdb: Read Rand Write Randrocksdb: Read While Writingrocksdb: Rand Readrocksdb: Seq Fillrenaissance: Rand Forestrenaissance: Finagle HTTP Requeststnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1blosc: blosclztnn: CPU - SqueezeNet v2123177.6917861.345743687155.494910137.7953.3683.9747.26627.9784.7272.826387411986.13010.5593774.0740992.57306.2828.4143.1748250354687.6923560.1962553560.032308808674.457.9538631.3627340.1613101400.0283514910.9423.2828.3330.3714.3717.866.7716.381.917.734.74.685.025.8418.871639.42128.43730.345571715331201783694486406561001998711.42032.1268.489238.26317957.666.181751711.3857246794812.680453437.3713.4074.0097.27327.5544.7172.833267712210.93014.2973813.8694882.37331.5722.3144.5073801314806.8907170.1982526150.032307538606.456.6788821.2078290.1613109530.0293487011.0223.5828.5330.3414.5217.9766.9916.601.947.754.744.695.065.8518.681633.62216.93728.04405501545099180268547744680983610702.02027.0268.292238.80417990.466.540758281.5286597155816.503319237.7013.3834.0107.22827.5594.6582.817281212259.62991.0203715.8705522.37357.8788.6143.7657686774718.2868980.1972539470.032308358356.969.9187151.3447440.1553223410.0293482011.0323.4228.3530.1914.4817.9367.8616.461.907.744.724.685.075.8418.831647.52183.53795.245106315476901800848484708961005402705.42030.9266.976238.54017723.666.405OpenBenchmarking.org

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High14080120160200177.6

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Reads23120K40K60K80K100KSE +/- 2051.30, N = 12SE +/- 2013.85, N = 12751717582891786

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency3210.34380.68761.03141.37521.719SE +/- 0.038, N = 12SE +/- 0.022, N = 151.5281.3851.3451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write321160320480640800SE +/- 15.80, N = 12SE +/- 11.31, N = 156597247431. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:321315K30K45K60K75KSE +/- 1314.49, N = 9SE +/- 1156.19, N = 3679486871571558

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency32148121620SE +/- 1.072, N = 12SE +/- 1.494, N = 916.50312.6805.4941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write3212K4K6K8K10KSE +/- 232.58, N = 12SE +/- 636.40, N = 93192453491011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3132918273645SE +/- 0.31, N = 3SE +/- 0.19, N = 1537.8037.7037.37MIN: 37.29 / MAX: 47.7MIN: 36.88 / MAX: 49.9MIN: 34.52 / MAX: 49.071. (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 1.2Model: mobilenet-v1-1.02310.76661.53322.29983.06643.833SE +/- 0.018, N = 15SE +/- 0.030, N = 33.4073.3833.368MIN: 3.24 / MAX: 12.43MIN: 3.29 / MAX: 3.84MIN: 3.34 / MAX: 4.071. (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 1.2Model: MobileNetV2_2243210.90231.80462.70693.60924.5115SE +/- 0.037, N = 3SE +/- 0.026, N = 154.0104.0093.974MIN: 3.88 / MAX: 4.31MIN: 3.82 / MAX: 6.44MIN: 3.9 / MAX: 4.761. (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 1.2Model: SqueezeNetV1.0213246810SE +/- 0.052, N = 15SE +/- 0.092, N = 37.2737.2667.228MIN: 6.65 / MAX: 20.01MIN: 7.18 / MAX: 8.08MIN: 7 / MAX: 8.431. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50132714212835SE +/- 0.04, N = 3SE +/- 0.15, N = 1527.9827.5627.55MIN: 27.59 / MAX: 38.1MIN: 27.19 / MAX: 28.8MIN: 25.59 / MAX: 38.821. (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 1.2Model: squeezenetv1.11231.06362.12723.19084.25445.318SE +/- 0.033, N = 15SE +/- 0.041, N = 34.7274.7174.658MIN: 4.64 / MAX: 5.71MIN: 4.33 / MAX: 7.05MIN: 4.52 / MAX: 5.861. (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 1.2Model: mobilenetV32130.63741.27481.91222.54963.187SE +/- 0.026, N = 15SE +/- 0.025, N = 32.8332.8262.817MIN: 2.53 / MAX: 15.16MIN: 2.79 / MAX: 3.27MIN: 2.75 / MAX: 3.551. (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

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill Sync2318001600240032004000SE +/- 79.68, N = 15SE +/- 63.53, N = 152677281238741. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree3213K6K9K12K15KSE +/- 83.51, N = 3SE +/- 65.57, N = 312259.612210.911986.1MIN: 9507.71 / MAX: 12423.57MIN: 9467.33 / MAX: 12328.78MIN: 9462.1 / MAX: 11986.14

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet2136001200180024003000SE +/- 0.40, N = 3SE +/- 2.38, N = 33014.303010.562991.02MIN: 2883.42 / MAX: 3103.37MIN: 2901.06 / MAX: 3101.58MIN: 2874.87 / MAX: 3095.331. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank2138001600240032004000SE +/- 38.92, N = 3SE +/- 37.59, N = 83813.83774.03715.8MIN: 3463.87 / MAX: 3935.74MIN: 3508.42 / MAX: 3861.72MIN: 3192.15 / MAX: 3971.89

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:123116K32K48K64K80KSE +/- 772.57, N = 3SE +/- 602.05, N = 3694887055274099

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 2.4Input: Spaceship2310.56251.1251.68752.252.8125SE +/- 0.08, N = 15SE +/- 0.06, N = 152.32.32.5

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens32116003200480064008000SE +/- 39.22, N = 3SE +/- 18.63, N = 37357.87331.57306.2MIN: 7288.01 / MAX: 8111.36MIN: 7310.64 / MAX: 8104.37MAX: 8075.84

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty1322004006008001000SE +/- 13.07, N = 15SE +/- 2.50, N = 3828.4788.6722.3MIN: 606.99 / MAX: 1579.39MIN: 597.64 / MAX: 1617.74MIN: 594.33 / MAX: 1489.74

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.5.1Total Time For Sample Scene231306090120150SE +/- 0.43, N = 3SE +/- 0.74, N = 3144.51143.77143.171. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill231200K400K600K800K1000KSE +/- 24109.98, N = 12SE +/- 9449.78, N = 33801317686778250351. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes23110002000300040005000SE +/- 41.77, N = 3SE +/- 22.98, N = 34806.84718.24687.6MIN: 3540.75 / MAX: 4856.42MIN: 3523.76 / MAX: 4761.93MIN: 3572.37

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes32120K40K60K80K100KSE +/- 856.28, N = 3SE +/- 719.26, N = 3868989071792356

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency2310.04460.08920.13380.17840.223SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1980.1970.1961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only23150K100K150K200K250KSE +/- 1030.91, N = 3SE +/- 1152.42, N = 32526152539472553561. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency3210.00720.01440.02160.02880.036SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0320.0320.0321. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only2317K14K21K28K35KSE +/- 140.44, N = 3SE +/- 104.61, N = 33075330835308801. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO1232K4K6K8K10KSE +/- 82.02, N = 3SE +/- 126.38, N = 38674.48606.48356.9MAX: 12644.52MIN: 8466.31 / MAX: 12483.39MIN: 8122.38 / MAX: 13055.45

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency3121632486480SE +/- 0.89, N = 3SE +/- 0.41, N = 369.9257.9556.681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write3122004006008001000SE +/- 9.18, N = 3SE +/- 6.45, N = 37158638821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency1320.30650.6130.91951.2261.5325SE +/- 0.015, N = 3SE +/- 0.008, N = 31.3621.3441.2071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write1322004006008001000SE +/- 7.92, N = 3SE +/- 5.43, N = 37347448291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency2130.03620.07240.10860.14480.181SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1610.1610.1551. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only12370K140K210K280K350KSE +/- 1252.21, N = 3SE +/- 4311.72, N = 33101403109533223411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency3210.00650.0130.01950.0260.0325SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0290.0290.0281. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only3218K16K24K32K40KSE +/- 173.07, N = 3SE +/- 504.18, N = 33482034870351491. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 20210720Target: CPU - Model: regnety_400m3213691215SE +/- 0.02, N = 3SE +/- 0.06, N = 311.0311.0210.94MIN: 10.89 / MAX: 26.58MIN: 10.82 / MAX: 11.24MIN: 10.82 / MAX: 11.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd231612182430SE +/- 0.07, N = 3SE +/- 0.08, N = 323.5823.4223.28MIN: 23.19 / MAX: 25.05MIN: 23.02 / MAX: 23.92MIN: 23.04 / MAX: 23.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny231714212835SE +/- 0.07, N = 3SE +/- 0.08, N = 328.5328.3528.33MIN: 28.23 / MAX: 32.03MIN: 27.13 / MAX: 41.62MIN: 28.16 / MAX: 32.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50123714212835SE +/- 0.02, N = 3SE +/- 0.09, N = 330.3730.3430.19MIN: 30.15 / MAX: 35.21MIN: 30.1 / MAX: 32.55MIN: 29.87 / MAX: 32.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet23148121620SE +/- 0.10, N = 3SE +/- 0.01, N = 314.5214.4814.37MIN: 14.24 / MAX: 14.89MIN: 14.29 / MAX: 14.88MIN: 14.24 / MAX: 14.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet1823148121620SE +/- 0.10, N = 3SE +/- 0.01, N = 317.9717.9317.80MIN: 17.76 / MAX: 19MIN: 17.8 / MAX: 22.68MIN: 17.68 / MAX: 18.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg163211530456075SE +/- 0.03, N = 3SE +/- 0.10, N = 367.8666.9966.77MIN: 67.19 / MAX: 85.29MIN: 66.57 / MAX: 88.13MIN: 66.38 / MAX: 80.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet23148121620SE +/- 0.14, N = 3SE +/- 0.02, N = 316.6016.4616.38MIN: 16.27 / MAX: 18.9MIN: 16.26 / MAX: 20.42MIN: 16.24 / MAX: 16.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface2130.43650.8731.30951.7462.1825SE +/- 0.01, N = 3SE +/- 0.00, N = 31.941.911.90MIN: 1.89 / MAX: 2.05MIN: 1.88 / MAX: 2MIN: 1.87 / MAX: 1.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0231246810SE +/- 0.05, N = 3SE +/- 0.01, N = 37.757.747.73MIN: 7.55 / MAX: 18.19MIN: 7.64 / MAX: 8.16MIN: 7.65 / MAX: 8.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet2311.06652.1333.19954.2665.3325SE +/- 0.00, N = 3SE +/- 0.01, N = 34.744.724.70MIN: 4.67 / MAX: 5.6MIN: 4.63 / MAX: 8.67MIN: 4.65 / MAX: 4.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v22311.05532.11063.16594.22125.2765SE +/- 0.01, N = 3SE +/- 0.01, N = 34.694.684.68MIN: 4.62 / MAX: 5.73MIN: 4.59 / MAX: 5.88MIN: 4.62 / MAX: 5.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v33211.14082.28163.42244.56325.704SE +/- 0.01, N = 3SE +/- 0.04, N = 35.075.065.02MIN: 4.96 / MAX: 6.43MIN: 4.89 / MAX: 6.66MIN: 4.95 / MAX: 5.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v22311.31632.63263.94895.26526.5815SE +/- 0.02, N = 3SE +/- 0.01, N = 35.855.845.84MIN: 5.73 / MAX: 9.76MIN: 5.74 / MAX: 7.17MIN: 5.77 / MAX: 6.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet132510152025SE +/- 0.02, N = 3SE +/- 0.20, N = 318.8718.8318.68MIN: 18.16 / MAX: 20.54MIN: 18.2 / MAX: 20.27MIN: 17.92 / MAX: 33.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures312400800120016002000SE +/- 6.92, N = 3SE +/- 5.10, N = 31647.51639.41633.6MIN: 1598.71 / MAX: 1684.09MIN: 1623.82 / MAX: 1654.41MIN: 1609.47 / MAX: 1659.15

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS2315001000150020002500SE +/- 10.97, N = 3SE +/- 22.42, N = 32216.92183.52128.4MIN: 1995.13 / MAX: 2451.28MIN: 1991.82 / MAX: 2360.21MIN: 1974.74 / MAX: 2242.4

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout3128001600240032004000SE +/- 58.47, N = 3SE +/- 21.56, N = 33795.23730.33728.0MIN: 3360.53 / MAX: 4214.52MIN: 3419.27 / MAX: 4020.27MIN: 3280.97 / MAX: 4079.91

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random231100K200K300K400K500KSE +/- 4795.05, N = 3SE +/- 1514.18, N = 34405504510634557171. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read Random Write Random123300K600K900K1200K1500KSE +/- 4612.62, N = 3SE +/- 1726.17, N = 31533120154509915476901. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read While Writing132400K800K1200K1600K2000KSE +/- 7464.13, N = 3SE +/- 21409.11, N = 31783694180084818026851. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read23110M20M30M40M50MSE +/- 172505.65, N = 3SE +/- 442537.60, N = 34774468048470896486406561. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill213200K400K600K800K1000KSE +/- 7713.25, N = 14SE +/- 8045.71, N = 3983610100199810054021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest132150300450600750SE +/- 5.16, N = 3SE +/- 5.70, N = 3711.4705.4702.0MIN: 655.36 / MAX: 843.12MIN: 639.16 / MAX: 844.61MIN: 638.56 / MAX: 871.4

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests132400800120016002000SE +/- 14.42, N = 3SE +/- 10.78, N = 32032.12030.92027.0MIN: 1843.36 / MAX: 2170.98MIN: 1847.71 / MAX: 2176.61MIN: 1851.58 / MAX: 2096.17

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 0.66, N = 3SE +/- 0.42, N = 3268.49268.29266.98MIN: 266.34 / MAX: 274.64MIN: 265.36 / MAX: 273.01MIN: 263.22 / MAX: 279.441. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.123150100150200250SE +/- 1.12, N = 3SE +/- 0.09, N = 3238.80238.54238.26MIN: 236.32 / MAX: 242.8MIN: 235.47 / MAX: 240.41MIN: 237.62 / MAX: 241.321. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

C-Blosc

A 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 2.0Compressor: blosclz3124K8K12K16K20KSE +/- 66.76, N = 3SE +/- 109.18, N = 317723.617957.617990.41. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v22311530456075SE +/- 0.49, N = 3SE +/- 0.60, N = 366.5466.4166.18MIN: 65.28 / MAX: 78.14MIN: 64.75 / MAX: 79.18MIN: 65.45 / MAX: 66.771. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

68 Results Shown

Unvanquished
Apache Cassandra
PostgreSQL pgbench:
  100 - 1 - Read Write - Average Latency
  100 - 1 - Read Write
Apache Cassandra
PostgreSQL pgbench:
  100 - 50 - Read Write - Average Latency
  100 - 50 - Read Write
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
Facebook RocksDB
Renaissance
TNN
Renaissance
Apache Cassandra
Natron
Renaissance:
  ALS Movie Lens
  Scala Dotty
YafaRay
Facebook RocksDB
Renaissance
Apache Cassandra
PostgreSQL pgbench:
  100 - 50 - Read Only - Average Latency
  100 - 50 - Read Only
  100 - 1 - Read Only - Average Latency
  100 - 1 - Read Only
Renaissance
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Only
NCNN:
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
Renaissance:
  Genetic Algorithm Using Jenetics + Futures
  Apache Spark ALS
  In-Memory Database Shootout
Facebook RocksDB:
  Update Rand
  Read Rand Write Rand
  Read While Writing
  Rand Read
  Seq Fill
Renaissance:
  Rand Forest
  Finagle HTTP Requests
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
C-Blosc
TNN