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: Reads13220K40K60K80K100KSE +/- 2013.85, N = 12SE +/- 2051.30, N = 12917867582875171

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 Latency1230.34380.68761.03141.37521.719SE +/- 0.022, N = 15SE +/- 0.038, N = 121.3451.3851.5281. (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 Write123160320480640800SE +/- 11.31, N = 15SE +/- 15.80, N = 127437246591. (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 1:331215K30K45K60K75KSE +/- 1156.19, N = 3SE +/- 1314.49, N = 9715586871567948

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 Latency12348121620SE +/- 1.494, N = 9SE +/- 1.072, N = 125.49412.68016.5031. (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 Write1232K4K6K8K10KSE +/- 636.40, N = 9SE +/- 232.58, N = 129101453431921. (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-v3231918273645SE +/- 0.19, N = 15SE +/- 0.31, N = 337.3737.7037.80MIN: 34.52 / MAX: 49.07MIN: 36.88 / MAX: 49.9MIN: 37.29 / MAX: 47.71. (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-v1-1.01320.76661.53322.29983.06643.833SE +/- 0.030, N = 3SE +/- 0.018, N = 153.3683.3833.407MIN: 3.34 / MAX: 4.07MIN: 3.29 / MAX: 3.84MIN: 3.24 / MAX: 12.431. (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: MobileNetV2_2241230.90231.80462.70693.60924.5115SE +/- 0.026, N = 15SE +/- 0.037, N = 33.9744.0094.010MIN: 3.9 / MAX: 4.76MIN: 3.82 / MAX: 6.44MIN: 3.88 / MAX: 4.311. (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: SqueezeNetV1.0312246810SE +/- 0.092, N = 3SE +/- 0.052, N = 157.2287.2667.273MIN: 7 / MAX: 8.43MIN: 7.18 / MAX: 8.08MIN: 6.65 / MAX: 20.011. (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-v2-50231714212835SE +/- 0.15, N = 15SE +/- 0.04, N = 327.5527.5627.98MIN: 25.59 / MAX: 38.82MIN: 27.19 / MAX: 28.8MIN: 27.59 / MAX: 38.11. (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 1.2Model: squeezenetv1.13211.06362.12723.19084.25445.318SE +/- 0.041, N = 3SE +/- 0.033, N = 154.6584.7174.727MIN: 4.52 / MAX: 5.86MIN: 4.33 / MAX: 7.05MIN: 4.64 / MAX: 5.711. (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: mobilenetV33120.63741.27481.91222.54963.187SE +/- 0.025, N = 3SE +/- 0.026, N = 152.8172.8262.833MIN: 2.75 / MAX: 3.55MIN: 2.79 / MAX: 3.27MIN: 2.53 / MAX: 15.161. (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 Sync1328001600240032004000SE +/- 63.53, N = 15SE +/- 79.68, N = 153874281226771. (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 Tree1233K6K9K12K15KSE +/- 65.57, N = 3SE +/- 83.51, N = 311986.112210.912259.6MIN: 9462.1 / MAX: 11986.14MIN: 9467.33 / MAX: 12328.78MIN: 9507.71 / MAX: 12423.57

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: DenseNet3126001200180024003000SE +/- 2.38, N = 3SE +/- 0.40, N = 32991.023010.563014.30MIN: 2874.87 / MAX: 3095.33MIN: 2901.06 / MAX: 3101.58MIN: 2883.42 / MAX: 3103.371. (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 PageRank3128001600240032004000SE +/- 37.59, N = 8SE +/- 38.92, N = 33715.83774.03813.8MIN: 3192.15 / MAX: 3971.89MIN: 3508.42 / MAX: 3861.72MIN: 3463.87 / MAX: 3935.74

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 1:113216K32K48K64K80KSE +/- 602.05, N = 3SE +/- 772.57, N = 3740997055269488

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: Spaceship1320.56251.1251.68752.252.8125SE +/- 0.06, N = 15SE +/- 0.08, N = 152.52.32.3

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 Lens12316003200480064008000SE +/- 18.63, N = 3SE +/- 39.22, N = 37306.27331.57357.8MAX: 8075.84MIN: 7310.64 / MAX: 8104.37MIN: 7288.01 / MAX: 8111.36

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty2312004006008001000SE +/- 2.50, N = 3SE +/- 13.07, N = 15722.3788.6828.4MIN: 594.33 / MAX: 1489.74MIN: 597.64 / MAX: 1617.74MIN: 606.99 / MAX: 1579.39

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 Scene132306090120150SE +/- 0.74, N = 3SE +/- 0.43, N = 3143.17143.77144.511. (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 Fill132200K400K600K800K1000KSE +/- 9449.78, N = 3SE +/- 24109.98, N = 128250357686773801311. (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 Bayes13210002000300040005000SE +/- 22.98, N = 3SE +/- 41.77, N = 34687.64718.24806.8MIN: 3572.37MIN: 3523.76 / MAX: 4761.93MIN: 3540.75 / MAX: 4856.42

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: Writes12320K40K60K80K100KSE +/- 719.26, N = 3SE +/- 856.28, N = 3923569071786898

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 Latency1320.04460.08920.13380.17840.223SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1960.1970.1981. (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 Only13250K100K150K200K250KSE +/- 1152.42, N = 3SE +/- 1030.91, N = 32553562539472526151. (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 Latency1230.00720.01440.02160.02880.036SE +/- 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 Only1327K14K21K28K35KSE +/- 104.61, N = 3SE +/- 140.44, N = 33088030835307531. (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.IO3212K4K6K8K10KSE +/- 126.38, N = 3SE +/- 82.02, N = 38356.98606.48674.4MIN: 8122.38 / MAX: 13055.45MIN: 8466.31 / MAX: 12483.39MAX: 12644.52

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 Latency2131632486480SE +/- 0.41, N = 3SE +/- 0.89, N = 356.6857.9569.921. (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 Write2132004006008001000SE +/- 6.45, N = 3SE +/- 9.18, N = 38828637151. (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 Latency2310.30650.6130.91951.2261.5325SE +/- 0.008, N = 3SE +/- 0.015, N = 31.2071.3441.3621. (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 Write2312004006008001000SE +/- 5.43, N = 3SE +/- 7.92, N = 38297447341. (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 Latency3120.03620.07240.10860.14480.181SE +/- 0.002, N = 3SE +/- 0.001, N = 30.1550.1610.1611. (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 Only32170K140K210K280K350KSE +/- 4311.72, N = 3SE +/- 1252.21, N = 33223413109533101401. (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 Latency1230.00650.0130.01950.0260.0325SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0280.0290.0291. (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 Only1238K16K24K32K40KSE +/- 504.18, N = 3SE +/- 173.07, N = 33514934870348201. (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_400m1233691215SE +/- 0.06, N = 3SE +/- 0.02, N = 310.9411.0211.03MIN: 10.82 / MAX: 11.56MIN: 10.82 / MAX: 11.24MIN: 10.89 / MAX: 26.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd132612182430SE +/- 0.08, N = 3SE +/- 0.07, N = 323.2823.4223.58MIN: 23.04 / MAX: 23.66MIN: 23.02 / MAX: 23.92MIN: 23.19 / MAX: 25.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny132714212835SE +/- 0.08, N = 3SE +/- 0.07, N = 328.3328.3528.53MIN: 28.16 / MAX: 32.35MIN: 27.13 / MAX: 41.62MIN: 28.23 / MAX: 32.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50321714212835SE +/- 0.09, N = 3SE +/- 0.02, N = 330.1930.3430.37MIN: 29.87 / MAX: 32.34MIN: 30.1 / MAX: 32.55MIN: 30.15 / MAX: 35.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet13248121620SE +/- 0.01, N = 3SE +/- 0.10, N = 314.3714.4814.52MIN: 14.24 / MAX: 14.51MIN: 14.29 / MAX: 14.88MIN: 14.24 / MAX: 14.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet1813248121620SE +/- 0.01, N = 3SE +/- 0.10, N = 317.8017.9317.97MIN: 17.68 / MAX: 18.51MIN: 17.8 / MAX: 22.68MIN: 17.76 / MAX: 191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg161231530456075SE +/- 0.10, N = 3SE +/- 0.03, N = 366.7766.9967.86MIN: 66.38 / MAX: 80.33MIN: 66.57 / MAX: 88.13MIN: 67.19 / MAX: 85.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet13248121620SE +/- 0.02, N = 3SE +/- 0.14, N = 316.3816.4616.60MIN: 16.24 / MAX: 16.77MIN: 16.26 / MAX: 20.42MIN: 16.27 / MAX: 18.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface3120.43650.8731.30951.7462.1825SE +/- 0.00, N = 3SE +/- 0.01, N = 31.901.911.94MIN: 1.87 / MAX: 1.99MIN: 1.88 / MAX: 2MIN: 1.89 / MAX: 2.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0132246810SE +/- 0.01, N = 3SE +/- 0.05, N = 37.737.747.75MIN: 7.65 / MAX: 8.12MIN: 7.64 / MAX: 8.16MIN: 7.55 / MAX: 18.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet1321.06652.1333.19954.2665.3325SE +/- 0.01, N = 3SE +/- 0.00, N = 34.704.724.74MIN: 4.65 / MAX: 4.82MIN: 4.63 / MAX: 8.67MIN: 4.67 / MAX: 5.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v21321.05532.11063.16594.22125.2765SE +/- 0.01, N = 3SE +/- 0.01, N = 34.684.684.69MIN: 4.62 / MAX: 5.25MIN: 4.59 / MAX: 5.88MIN: 4.62 / MAX: 5.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v31231.14082.28163.42244.56325.704SE +/- 0.04, N = 3SE +/- 0.01, N = 35.025.065.07MIN: 4.95 / MAX: 5.14MIN: 4.89 / MAX: 6.66MIN: 4.96 / MAX: 6.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v21321.31632.63263.94895.26526.5815SE +/- 0.01, N = 3SE +/- 0.02, N = 35.845.845.85MIN: 5.77 / MAX: 6.01MIN: 5.74 / MAX: 7.17MIN: 5.73 / MAX: 9.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet231510152025SE +/- 0.20, N = 3SE +/- 0.02, N = 318.6818.8318.87MIN: 17.92 / MAX: 33.71MIN: 18.2 / MAX: 20.27MIN: 18.16 / MAX: 20.541. (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 + Futures213400800120016002000SE +/- 5.10, N = 3SE +/- 6.92, N = 31633.61639.41647.5MIN: 1609.47 / MAX: 1659.15MIN: 1623.82 / MAX: 1654.41MIN: 1598.71 / MAX: 1684.09

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS1325001000150020002500SE +/- 22.42, N = 3SE +/- 10.97, N = 32128.42183.52216.9MIN: 1974.74 / MAX: 2242.4MIN: 1991.82 / MAX: 2360.21MIN: 1995.13 / MAX: 2451.28

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout2138001600240032004000SE +/- 21.56, N = 3SE +/- 58.47, N = 33728.03730.33795.2MIN: 3280.97 / MAX: 4079.91MIN: 3419.27 / MAX: 4020.27MIN: 3360.53 / MAX: 4214.52

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 Random132100K200K300K400K500KSE +/- 1514.18, N = 3SE +/- 4795.05, N = 34557174510634405501. (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 Random321300K600K900K1200K1500KSE +/- 1726.17, N = 3SE +/- 4612.62, N = 31547690154509915331201. (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 Writing231400K800K1200K1600K2000KSE +/- 21409.11, N = 3SE +/- 7464.13, N = 31802685180084817836941. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read13210M20M30M40M50MSE +/- 442537.60, N = 3SE +/- 172505.65, N = 34864065648470896477446801. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill312200K400K600K800K1000KSE +/- 8045.71, N = 3SE +/- 7713.25, N = 14100540210019989836101. (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 Forest231150300450600750SE +/- 5.70, N = 3SE +/- 5.16, N = 3702.0705.4711.4MIN: 638.56 / MAX: 871.4MIN: 639.16 / MAX: 844.61MIN: 655.36 / MAX: 843.12

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests231400800120016002000SE +/- 10.78, N = 3SE +/- 14.42, N = 32027.02030.92032.1MIN: 1851.58 / MAX: 2096.17MIN: 1847.71 / MAX: 2176.61MIN: 1843.36 / MAX: 2170.98

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 v232160120180240300SE +/- 0.42, N = 3SE +/- 0.66, N = 3266.98268.29268.49MIN: 263.22 / MAX: 279.44MIN: 265.36 / MAX: 273.01MIN: 266.34 / MAX: 274.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.113250100150200250SE +/- 0.09, N = 3SE +/- 1.12, N = 3238.26238.54238.80MIN: 237.62 / MAX: 241.32MIN: 235.47 / MAX: 240.41MIN: 236.32 / MAX: 242.81. (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: blosclz2134K8K12K16K20KSE +/- 109.18, N = 3SE +/- 66.76, N = 317990.417957.617723.61. (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 v21321530456075SE +/- 0.60, N = 3SE +/- 0.49, N = 366.1866.4166.54MIN: 65.45 / MAX: 66.77MIN: 64.75 / MAX: 79.18MIN: 65.28 / MAX: 78.141. (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