1275 july

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 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 2108010-IB-1275JULY424
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 2 Tests
Creator Workloads 2 Tests
Database Test Suite 3 Tests
HPC - High Performance Computing 4 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 3 Tests
Multi-Core 4 Tests
Renderers 2 Tests
Server 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
1
August 01 2021
  3 Hours, 36 Minutes
2
August 01 2021
  3 Hours, 25 Minutes
3
August 01 2021
  3 Hours, 30 Minutes
Invert Hiding All Results Option
  3 Hours, 30 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


1275 julyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerOpenCLCompilerFile-SystemScreen Resolution123Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 (1150MHz)Realtek ALC1150VA24312 x Intel I210Ubuntu 20.045.9.0-050900rc8daily20201007-generic (x86_64) 20201006X Server 1.20.8OpenCL 2.1GCC 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: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Java Details- OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite100%101%102%102%103%RenaissanceApache CassandraQuantum ESPRESSOMobile Neural NetworkFacebook RocksDBC-BloscPostgreSQL pgbenchNCNNYafaRayTNN

1275 julyqe: AUSURF112yafaray: Total Time For Sample Scenetnn: CPU - DenseNetrenaissance: Akka Unbalanced Cobwebbed Treencnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetcassandra: Mixed 1:1cassandra: Readsrenaissance: ALS Movie Lenscassandra: Mixed 1:3renaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3cassandra: Writesrenaissance: Apache Spark ALSpgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writepgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writencnn: 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 - mobilenetpgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 100 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlypgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlynatron: Spaceshiprenaissance: Apache Spark Bayesrenaissance: Scala Dottyrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: In-Memory Database Shootoutrocksdb: Rand Fill Syncrocksdb: Rand Fillrocksdb: Update Randrocksdb: Read Rand Write Randrocksdb: Read While Writingrocksdb: Rand Readrenaissance: Rand Forestrenaissance: Finagle HTTP Requeststnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1blosc: blosclzrocksdb: Seq Filltnn: CPU - SqueezeNet v21231151334.9154252.25612080.816.6642.2768.1472.0847.0329.92196.1633.873.0124.8712.6611.5513.3412.1637.4435609370418239.13624811334.03841.645.9834.0454.1046.0739.394.1542.34441153588.80.043232793.902128150.9271079361.9445140.4591090017.6321310310.7827.4932.8736.3317.7819.6780.5118.081.728.475.074.365.196.0822.8138.7172163.4327880.038265250.8361195621.7565690.4051235261.22958.91125.91471.33913.3120062172928500780768181391420984927777.72288.7367.139324.6119718.986180076.8571164.49334.0534261.72612119.516.7742.2767.872.1746.1929.98196.2233.943.0824.8712.7111.4713.6812.3237.4936918382118150.33689111449.44178.245.8834.0234.0696.16138.6444.1322.336444663641.20.043231173.911127860.9331072391.9555120.4611084257.7071297710.7627.4533.0936.417.7219.6880.5718.11.718.465.054.365.176.0722.84139.40271763.4047890.038261970.821219671.7845610.4041237062950.31115.01549.93805.763067128221221645059788.62277.4368.446324.7989770.184848976.9681165.43334.6124258.14512106.316.7942.2567.8972.034729.99196.7433.892.6924.9612.7511.7114.712.237.3835512376878101.23543110882.74389.345.724.024.0676.03338.54.0842.328440993557.60.043231403.912127800.9331071991.895290.4611084877.6651304710.7627.4532.9636.417.7319.7280.318.111.728.455.074.365.196.0722.82139.84171563.4867880.038263650.8381193711.7825610.3921273961.22709.71018.91520.63730.5120962065128275280938275763921668676764.32286.3367.857324.619728.286259776.829OpenBenchmarking.org

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.8Input: AUSURF112123300600900120015001151.001164.491165.431. (F9X) gfortran options: -ldevXlib -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 Scene12370140210280350334.92334.05334.611. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype

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: DenseNet12390018002700360045004252.264261.734258.15MIN: 4241.67 / MAX: 4260.63MIN: 4249 / MAX: 4287.82MIN: 4245.32 / MAX: 4480.781. (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: Akka Unbalanced Cobwebbed Tree1233K6K9K12K15K12080.812119.512106.3MIN: 9051.07 / MAX: 12080.82MIN: 9055.85 / MAX: 12119.51MIN: 9311.92

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: Vulkan GPU - Model: regnety_400m1234812162016.6616.7716.79MIN: 16.46 / MAX: 16.84MIN: 16.56 / MAX: 16.92MIN: 16.54 / MAX: 16.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssd123102030405042.2742.2742.25MIN: 41.99 / MAX: 42.45MIN: 42.04 / MAX: 42.39MIN: 41.95 / MAX: 42.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tiny123153045607568.1467.8067.89MIN: 65.67 / MAX: 69.66MIN: 65.3 / MAX: 69.2MIN: 65.31 / MAX: 69.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50123163248648072.0872.1772.03MIN: 71.78 / MAX: 72.34MIN: 71.81 / MAX: 72.48MIN: 71.67 / MAX: 72.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnet123112233445547.0346.1947.00MIN: 44.85 / MAX: 50.32MIN: 44 / MAX: 49.53MIN: 44.55 / MAX: 49.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet1812371421283529.9229.9829.99MIN: 29.71 / MAX: 30.09MIN: 29.77 / MAX: 30.13MIN: 29.69 / MAX: 30.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg161234080120160200196.16196.22196.74MIN: 194.08 / MAX: 198.52MIN: 194.81 / MAX: 198.02MIN: 194.97 / MAX: 198.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenet12381624324033.8733.9433.89MIN: 33.65 / MAX: 34.07MIN: 33.59 / MAX: 34.16MIN: 33.58 / MAX: 34.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazeface1230.6931.3862.0792.7723.4653.013.082.69MIN: 2.71 / MAX: 3.15MIN: 2.67 / MAX: 3.56MIN: 2.4 / MAX: 2.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b012361218243024.8724.8724.96MIN: 24.66 / MAX: 25.11MIN: 24.69 / MAX: 25.06MIN: 24.6 / MAX: 25.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnet123369121512.6612.7112.75MIN: 12.35 / MAX: 15.55MIN: 12.36 / MAX: 15.53MIN: 12.31 / MAX: 16.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2123369121511.5511.4711.71MIN: 11.27 / MAX: 12.89MIN: 11.33 / MAX: 12.45MIN: 11.52 / MAX: 14.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31234812162013.3413.6814.70MIN: 13.13 / MAX: 14.31MIN: 13.37 / MAX: 14.66MIN: 13.53 / MAX: 15.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123369121512.1612.3212.20MIN: 11.94 / MAX: 13.6MIN: 12.13 / MAX: 13.58MIN: 11.99 / MAX: 13.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenet12391827364537.4437.4937.38MIN: 37.02 / MAX: 38.79MIN: 37.06 / MAX: 41.5MIN: 37.04 / MAX: 37.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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 1:11238K16K24K32K40K356093691835512

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Reads1238K16K24K32K40K370413821137687

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 Lens1232K4K6K8K10K8239.18150.38101.2MIN: 8231.27 / MAX: 10058.75MIN: 8085.97 / MAX: 10009.51MIN: 7976.69 / MAX: 9959.3

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 1:31238K16K24K32K40K362483689135431

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.IO1232K4K6K8K10K11334.011449.410882.7MIN: 11333.98 / MAX: 16045.04MIN: 11449.36 / MAX: 16202.06MIN: 9266.45 / MAX: 16152.83

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank12390018002700360045003841.64178.24389.3MIN: 3454.46 / MAX: 4005.15MIN: 3851.34 / MAX: 4283.16MIN: 4087.7 / MAX: 4887

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-v3123102030405045.9845.8845.72MIN: 45.86 / MAX: 51.05MIN: 45.75 / MAX: 50.06MIN: 45.6 / MAX: 46.251. (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-v1-1.01230.91011.82022.73033.64044.55054.0454.0234.020MIN: 4.01 / MAX: 4.57MIN: 4 / MAX: 5.03MIN: 3.99 / MAX: 4.271. (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_2241230.92341.84682.77023.69364.6174.1044.0694.067MIN: 4.07 / MAX: 4.62MIN: 4.04 / MAX: 4.28MIN: 4.03 / MAX: 4.441. (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 1.2Model: SqueezeNetV1.01232468106.0706.1616.033MIN: 6.01 / MAX: 6.32MIN: 6.04 / MAX: 40.98MIN: 5.97 / MAX: 6.51. (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-v2-5012391827364539.3938.6438.50MIN: 39.21 / MAX: 42.54MIN: 38.53 / MAX: 39.14MIN: 36.34 / MAX: 43.71. (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: squeezenetv1.11230.93471.86942.80413.73884.67354.1544.1324.084MIN: 4.11 / MAX: 4.35MIN: 4.08 / MAX: 4.57MIN: 4.05 / MAX: 4.271. (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: mobilenetV31230.52651.0531.57952.1062.63252.3402.3362.328MIN: 2.32 / MAX: 2.56MIN: 2.31 / MAX: 2.55MIN: 2.3 / MAX: 2.781. (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

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: Writes12310K20K30K40K50K441154446644099

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 ALS12380016002400320040003588.83641.23557.6MIN: 3383.02 / MAX: 3924.72MIN: 3450.93 / MAX: 3854.7MIN: 3366.37 / MAX: 3817.66

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 Only - Average Latency1230.00970.01940.02910.03880.04850.0430.0430.0431. (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 Only1235K10K15K20K25K2327923117231401. (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: 50 - Mode: Read Write - Average Latency1230.88021.76042.64063.52084.4013.9023.9113.9121. (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 Write1233K6K9K12K15K1281512786127801. (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: 100 - Mode: Read Only - Average Latency1230.20990.41980.62970.83961.04950.9270.9330.9331. (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: 100 - Mode: Read Only12320K40K60K80K100K1079361072391071991. (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 Write - Average Latency1230.43990.87981.31971.75962.19951.9441.9551.8901. (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 Write1231102203304405505145125291. (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: 50 - Mode: Read Only - Average Latency1230.10370.20740.31110.41480.51850.4590.4610.4611. (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 Only12320K40K60K80K100K1090011084251084871. (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: 100 - Mode: Read Write - Average Latency1232468107.6327.7077.6651. (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: 100 - Mode: Read Write1233K6K9K12K15K1310312977130471. (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_400m123369121510.7810.7610.76MIN: 10.73 / MAX: 10.98MIN: 10.72 / MAX: 11.87MIN: 10.73 / MAX: 10.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd12361218243027.4927.4527.45MIN: 27.27 / MAX: 27.93MIN: 27.22 / MAX: 27.86MIN: 27.21 / MAX: 27.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny12381624324032.8733.0932.96MIN: 32.77 / MAX: 33.1MIN: 32.99 / MAX: 33.43MIN: 32.86 / MAX: 33.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet5012381624324036.3336.4036.40MIN: 36.21 / MAX: 38.4MIN: 36.3 / MAX: 36.75MIN: 36.29 / MAX: 37.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet1234812162017.7817.7217.73MIN: 17.71 / MAX: 17.95MIN: 17.63 / MAX: 17.96MIN: 17.64 / MAX: 17.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet1812351015202519.6719.6819.72MIN: 19.59 / MAX: 19.9MIN: 19.6 / MAX: 19.96MIN: 19.63 / MAX: 21.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg161232040608010080.5180.5780.30MIN: 80.31 / MAX: 80.96MIN: 80.36 / MAX: 80.91MIN: 80.08 / MAX: 80.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet1234812162018.0818.1018.11MIN: 18.01 / MAX: 18.54MIN: 18.03 / MAX: 18.29MIN: 18.05 / MAX: 18.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface1230.3870.7741.1611.5481.9351.721.711.72MIN: 1.7 / MAX: 1.87MIN: 1.69 / MAX: 1.87MIN: 1.7 / MAX: 1.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b01232468108.478.468.45MIN: 8.44 / MAX: 8.7MIN: 8.42 / MAX: 8.64MIN: 8.42 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet1231.14082.28163.42244.56325.7045.075.055.07MIN: 5.03 / MAX: 6.09MIN: 5.01 / MAX: 5.26MIN: 5.03 / MAX: 5.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v21230.9811.9622.9433.9244.9054.364.364.36MIN: 4.33 / MAX: 4.54MIN: 4.33 / MAX: 4.68MIN: 4.33 / MAX: 4.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v31231.16782.33563.50344.67125.8395.195.175.19MIN: 5.14 / MAX: 5.3MIN: 5.13 / MAX: 5.28MIN: 5.15 / MAX: 5.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v21232468106.086.076.07MIN: 6.03 / MAX: 6.29MIN: 6.01 / MAX: 6.21MIN: 6.01 / MAX: 6.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet12351015202522.8022.8422.82MIN: 22.72 / MAX: 23.18MIN: 22.74 / MAX: 23.15MIN: 22.74 / MAX: 23.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: 100 - Mode: Read Write - Average Latency123306090120150138.71139.40139.841. (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: 100 - Mode: Read Write1231603204806408007217177151. (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 Write - Average Latency123142842567063.4363.4063.491. (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 Write12320040060080010007887897881. (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 Latency1230.00860.01720.02580.03440.0430.0380.0380.0381. (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 Only1236K12K18K24K30K2652526197263651. (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: 100 - Mode: Read Only - Average Latency1230.18860.37720.56580.75440.9430.8360.8200.8381. (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: 100 - Mode: Read Only12330K60K90K120K150K1195621219671193711. (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 Latency1230.40140.80281.20421.60562.0071.7561.7841.7821. (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 Write1231202403604806005695615611. (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 Latency1230.09110.18220.27330.36440.45550.4050.4040.3921. (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 Only12330K60K90K120K150K1235261237061273961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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 2.4Input: Spaceship130.270.540.811.081.351.21.2

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 Bayes12360012001800240030002958.92950.32709.7MIN: 2259.94 / MAX: 2984.18MIN: 2241.3 / MAX: 3010.26MIN: 2045.25

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty12320040060080010001125.91115.01018.9MIN: 768.22 / MAX: 2081.71MIN: 750.2 / MAX: 1881.38MIN: 778.48 / MAX: 1902.8

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures123300600900120015001471.31549.91520.6MIN: 1428.33 / MAX: 1504.42MIN: 1516.52 / MAX: 1585.28MIN: 1469.89 / MAX: 1567.48

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout12380016002400320040003913.33805.73730.5MIN: 3586.4 / MAX: 4320.19MIN: 3411.39 / MAX: 4056.93MIN: 3348.58 / MAX: 4182.71

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 Sync1330060090012001500120012091. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill123140K280K420K560K700K6217296306716206511. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random12360K120K180K240K300K2850072822122827521. (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 Random13200K400K600K800K1000K8076818093821. (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 Writing13200K400K600K800K1000K8139147576391. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read1235M10M15M20M25M2098492721645059216686761. (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 Forest1232004006008001000777.7788.6764.3MIN: 683.93 / MAX: 1059.47MIN: 682.27 / MAX: 1127.79MIN: 658.93 / MAX: 1003.21

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests12350010001500200025002288.72277.42286.3MIN: 2051.63 / MAX: 2471.02MIN: 2071.53 / MAX: 2334.76MIN: 2077.63 / MAX: 2392.2

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 v212380160240320400367.14368.45367.86MIN: 366.54 / MAX: 367.99MIN: 367.96 / MAX: 369.21MIN: 367.2 / MAX: 368.571. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.112370140210280350324.61324.80324.61MIN: 323.8 / MAX: 325.59MIN: 324.14 / MAX: 325.69MIN: 323.84 / MAX: 325.481. (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: blosclz1232K4K6K8K10K9718.99770.19728.21. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm

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: Sequential Fill123200K400K600K800K1000K8618008484898625971. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 v21232040608010076.8676.9776.83MIN: 76.57 / MAX: 77.17MIN: 76.61 / MAX: 77.5MIN: 76.49 / MAX: 77.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

91 Results Shown

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