2970WX July

AMD Ryzen Threadripper 2970WX 24-Core testing with a Gigabyte X399 AORUS Gaming 7 (F12h BIOS) and Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB 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 2108019-IB-2970WXJUL61
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July 31 2021
  2 Hours, 22 Minutes
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July 31 2021
  2 Hours, 19 Minutes
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July 31 2021
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August 01 2021
  2 Hours, 18 Minutes
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2970WX JulyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolution12345AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads)Gigabyte X399 AORUS Gaming 7 (F12h BIOS)AMD 17h16GB120GB Corsair Force MP500Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz)Realtek ALC1220VA2431Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275Ubuntu 20.045.9.0-050900rc6daily20200926-generic (x86_64) 20200925GNOME Shell 3.36.4X Server 1.20.94.6 Mesa 20.2.6 (LLVM 11.0.0)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: 0x800820dGraphics Details- GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.04)Python Details- 1: Python 3.8.5- 2: Python 3.8.10- 3: Python 3.8.10- 4: Python 3.8.10- 5: Python 3.8.10Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

12345Result OverviewPhoronix Test Suite100%105%111%116%NatronApache CassandraFacebook RocksDBRenaissanceMobile Neural NetworkNCNNYafaRayC-BloscTNNGravityMark

2970WX Julycassandra: Readscassandra: Writescassandra: Mixed 1:1cassandra: Mixed 1:3blosc: blosclzrocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randgravitymark: 1920 x 1080 - Vulkanmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3natron: Spaceshipncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mrenaissance: Scala Dottyrenaissance: Rand Forestrenaissance: ALS Movie Lensrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankrenaissance: Finagle HTTP Requestsrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Genetic Algorithm Using Jenetics + Futurestnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1yafaray: Total Time For Sample Scene12345919431371901077959718115950.7559506105202520516006629253163653684442192929133.25.1659.86844.86812.2817.7075.11459.533.429.5913.3813.011412.1917.035.7935.8797.1544.8324.5668.545242.9138.713.125.567.354.975.8515.483.1111.3128.937.0510.2915.322013.4710.191132.9920.09836.82359.61209.112292.65088.74099.46178.521703.72665.93034.7306.26672.115256.35596.0861055251301539899010508615733629001106197835518649593316177013795875200769233.24.3248.95450.6711.0248.0464.94861.5523.231.0813.5313.6512.7812.8616.065.3330.987.6156.0626.9353.9547.0836.4336.8412.925.67.434.975.8315.273.111.3429.17.1110.4315.1620.2413.1810.371111.5892.79878.22279.61184.212326.55443.73906.76439.521813.42700.43023.791305.27872.513256.48598.40313840913111310503311283715895.6558560107926092497709654095123803593614198577233.25.2258.02446.24311.3637.6155.10959.5963.328.7113.0212.7413.5611.8417.125.5831.9480.5747.9622.9950.149.5138.8336.113.175.617.594.975.9115.262.9711.5828.86.9910.3915.322014.0910.121038.3902.910001.32305.21180.911693.45041.34055.76178.321476.32679.73026.058306.18971.38256.32198.8251026661318461090659627116025.3563861110355654498715586679202823656007198679033.24.35910.29946.47512.6847.595.01159.2493.228.8213.2812.5913.8112.2916.685.6133.6798.9351.5327.8354.649.1241.1536.2512.985.57.394.935.8815.213.0311.3829.066.9210.3315.219.9813.1910.34968.0911.19814.82202.11162.112667.54485.84040.66142.022068.22620.03035.013305.56871.217256.30398.45310620113092010568211161415930.8524031108371044515847662215194653634278198664033.24.2669.97446.21712.8067.2924.99657.1562.828.7513.513.5613.5311.7116.525.5331.5983.4231.2232.9367.9248.6741.5436.5512.975.467.354.995.8615.33.4411.2828.97.0610.3815.2320.0113.2510.15965.4891.39857.02220.61231.911704.25102.04006.96457.221886.52660.03035.692304.2772.72260.28896.467OpenBenchmarking.org

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: Reads5432130K60K90K120K150K10620110266613840910552591943

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes5432130K60K90K120K150K130920131846131113130153137190

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:15432120K40K60K80K100K10568210906510503398990107795

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:35432120K40K60K80K100K1116149627111283710508697181

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: blosclz543213K6K9K12K15K15930.816025.315895.615733.015950.71. (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: Random Fill54321130K260K390K520K650K5240315638615585606290015595061. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read5432120M40M60M80M100M1083710441103556541079260921061978351052025201. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random54321110K220K330K440K550K5158474987154977095186495160061. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill54321140K280K420K560K700K6622155866796540955933166292531. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill Sync543214K8K12K16K20K19465202821238017701163651. (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 Writing54321800K1600K2400K3200K4000K363427836560073593614379587536844421. (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 Random54321400K800K1200K1600K2000K198664019867901985772200769219292911. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 1920 x 1080 - Renderer: Vulkan5432181624324033.233.233.233.233.2

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: mobilenetV3543211.17562.35123.52684.70245.8784.2664.3595.2254.3245.165MIN: 4.19 / MAX: 4.34MIN: 4.19 / MAX: 4.5MIN: 5.17 / MAX: 5.3MIN: 4.26 / MAX: 4.41MIN: 5.09 / MAX: 5.321. (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: squeezenetv1.15432136912159.97410.2998.0248.9549.868MIN: 7.53 / MAX: 12.21MIN: 9.73 / MAX: 18.57MIN: 7.58 / MAX: 11.85MIN: 8.01 / MAX: 11.74MIN: 9.54 / MAX: 23.891. (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-v2-5054321112233445546.2246.4846.2450.6744.87MIN: 41.32 / MAX: 52.99MIN: 43.11 / MAX: 50.9MIN: 42.25 / MAX: 53.65MIN: 44.15 / MAX: 55.02MIN: 41.23 / MAX: 54.091. (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: SqueezeNetV1.054321369121512.8112.6811.3611.0212.28MIN: 11.94 / MAX: 21.8MIN: 12.08 / MAX: 18.74MIN: 11.04 / MAX: 29.01MIN: 10.22 / MAX: 21.7MIN: 11.38 / MAX: 19.141. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224543212468107.2927.5907.6158.0467.707MIN: 7.11 / MAX: 7.43MIN: 7.48 / MAX: 7.71MIN: 7.29 / MAX: 12.92MIN: 7.62 / MAX: 8.45MIN: 7.59 / MAX: 7.991. (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-v1-1.0543211.15072.30143.45214.60285.75354.9965.0115.1094.9485.114MIN: 4.88 / MAX: 35.84MIN: 4.8 / MAX: 22.32MIN: 4.71 / MAX: 29.42MIN: 4.79 / MAX: 25.01MIN: 4.89 / MAX: 30.051. (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: inception-v354321142842567057.1659.2559.6061.5559.53MIN: 54.43 / MAX: 135.59MIN: 52.71 / MAX: 69.65MIN: 55.24 / MAX: 97.8MIN: 51.43 / MAX: 102.58MIN: 56.78 / MAX: 99.981. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Natron

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: Spaceship543210.7651.532.2953.063.8252.83.23.33.23.4

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: mobilenet5432171421283528.7528.8228.7131.0829.59MIN: 26.67 / MAX: 185.23MIN: 27.42 / MAX: 44.83MIN: 27.73 / MAX: 39.91MIN: 26.18 / MAX: 458.09MIN: 27.53 / MAX: 185.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v254321369121513.5013.2813.0213.5313.38MIN: 12.07 / MAX: 135.13MIN: 12.8 / MAX: 35.47MIN: 12.64 / MAX: 48.95MIN: 13.01 / MAX: 42.06MIN: 13 / MAX: 38.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3543214812162013.5612.5912.7413.6513.01MIN: 12 / MAX: 333.01MIN: 12.09 / MAX: 33.96MIN: 11.95 / MAX: 65MIN: 11.77 / MAX: 337.64MIN: 12.47 / MAX: 57.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2543214812162013.5313.8113.5612.7814.00MIN: 13.47 / MAX: 15.05MIN: 13.54 / MAX: 53.61MIN: 13.3 / MAX: 14.22MIN: 12.67 / MAX: 14.53MIN: 13.87 / MAX: 19.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet54321369121511.7112.2911.8412.8612.19MIN: 11.35 / MAX: 33.67MIN: 11.63 / MAX: 72.91MIN: 11.45 / MAX: 23.8MIN: 10.99 / MAX: 95.85MIN: 11.38 / MAX: 68.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0543214812162016.5216.6817.1216.0617.03MIN: 16.25 / MAX: 18.02MIN: 16.15 / MAX: 50.41MIN: 16.12 / MAX: 152.21MIN: 15.75 / MAX: 30.09MIN: 16.22 / MAX: 51.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface543211.30282.60563.90845.21126.5145.535.615.585.335.79MIN: 5.45 / MAX: 7.37MIN: 5.5 / MAX: 7.92MIN: 5.47 / MAX: 5.72MIN: 5.25 / MAX: 5.58MIN: 5.69 / MAX: 6.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet5432181624324031.5933.6731.9430.9035.87MIN: 28.02 / MAX: 460.48MIN: 27.61 / MAX: 462.78MIN: 27.72 / MAX: 426.31MIN: 27.29 / MAX: 397.95MIN: 28.45 / MAX: 481.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16543212040608010083.4298.9380.5787.6197.15MIN: 66.24 / MAX: 193.76MIN: 74.18 / MAX: 190.37MIN: 62.68 / MAX: 197.8MIN: 68.85 / MAX: 190.59MIN: 64.38 / MAX: 202.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet1854321132639526531.2251.5347.9656.0644.83MIN: 23.82 / MAX: 211.9MIN: 22.9 / MAX: 210.3MIN: 21.37 / MAX: 192.24MIN: 23.61 / MAX: 202.81MIN: 23.94 / MAX: 207.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet5432181624324032.9327.8322.9926.9324.56MIN: 19.24 / MAX: 89.92MIN: 18.52 / MAX: 91.86MIN: 15.58 / MAX: 92.05MIN: 19.47 / MAX: 85.7MIN: 15.88 / MAX: 92.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet5054321153045607567.9254.6050.1053.9568.54MIN: 38.45 / MAX: 507.97MIN: 36.7 / MAX: 497.36MIN: 37.92 / MAX: 520.46MIN: 37.14 / MAX: 491.26MIN: 39.32 / MAX: 510.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny54321122436486048.6749.1249.5147.0852.00MIN: 40.87 / MAX: 205.92MIN: 42.66 / MAX: 205.45MIN: 41.22 / MAX: 202.49MIN: 42.27 / MAX: 198.04MIN: 40.2 / MAX: 208.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd54321102030405041.5441.1538.8336.4342.91MIN: 30.67 / MAX: 413.78MIN: 31.18 / MAX: 416.67MIN: 30.73 / MAX: 374.79MIN: 30.42 / MAX: 410.51MIN: 30.87 / MAX: 416.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400m5432191827364536.5536.2536.1036.8438.70MIN: 35.32 / MAX: 206.92MIN: 35.89 / MAX: 36.77MIN: 35.69 / MAX: 56.2MIN: 34.73 / MAX: 162.06MIN: 37.97 / MAX: 85.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenet54321369121512.9712.9813.1712.9213.12MIN: 11.33 / MAX: 18.32MIN: 11.47 / MAX: 14.98MIN: 11.48 / MAX: 18.65MIN: 11.38 / MAX: 15.07MIN: 11.31 / MAX: 18.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2543211.26232.52463.78695.04926.31155.465.505.615.605.56MIN: 4.93 / MAX: 6.8MIN: 4.94 / MAX: 7.18MIN: 4.95 / MAX: 7.34MIN: 4.95 / MAX: 7.16MIN: 4.93 / MAX: 7.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3543212468107.357.397.597.437.35MIN: 6.45 / MAX: 9.02MIN: 6.27 / MAX: 9.03MIN: 6.31 / MAX: 10.66MIN: 6.48 / MAX: 9.01MIN: 6.43 / MAX: 9.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2543211.12282.24563.36844.49125.6144.994.934.974.974.97MIN: 4.45 / MAX: 6.42MIN: 4.41 / MAX: 6.3MIN: 4.46 / MAX: 6.42MIN: 4.43 / MAX: 7.23MIN: 4.45 / MAX: 6.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnet543211.32982.65963.98945.31926.6495.865.885.915.835.85MIN: 5.15 / MAX: 7.6MIN: 5.16 / MAX: 7.25MIN: 5.17 / MAX: 10.71MIN: 5.18 / MAX: 8.39MIN: 5.13 / MAX: 8.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0543214812162015.3015.2115.2615.2715.48MIN: 14.03 / MAX: 20.69MIN: 14.37 / MAX: 21.09MIN: 13.95 / MAX: 21.41MIN: 14.21 / MAX: 18.36MIN: 13.52 / MAX: 20.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazeface543210.7741.5482.3223.0963.873.443.032.973.103.11MIN: 2.52 / MAX: 6.05MIN: 2.87 / MAX: 3.67MIN: 2.58 / MAX: 3.52MIN: 2.87 / MAX: 5.62MIN: 2.56 / MAX: 5.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenet54321369121511.2811.3811.5811.3411.31MIN: 10.25 / MAX: 12.75MIN: 10.43 / MAX: 12.85MIN: 10.33 / MAX: 13.46MIN: 10.3 / MAX: 12.72MIN: 10.2 / MAX: 13.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg165432171421283528.9029.0628.8029.1028.93MIN: 28.29 / MAX: 32.91MIN: 28.36 / MAX: 37.22MIN: 28.26 / MAX: 37.6MIN: 28.36 / MAX: 31.55MIN: 28.31 / MAX: 34.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18543212468107.066.926.997.117.05MIN: 6.39 / MAX: 7.63MIN: 6.38 / MAX: 7.48MIN: 6.38 / MAX: 7.85MIN: 6.36 / MAX: 8.36MIN: 6.43 / MAX: 8.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnet54321369121510.3810.3310.3910.4310.29MIN: 9.96 / MAX: 12.15MIN: 10.03 / MAX: 11.3MIN: 10.04 / MAX: 12.5MIN: 10.1 / MAX: 15.52MIN: 9.88 / MAX: 11.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50543214812162015.2315.2015.3215.1615.32MIN: 14.32 / MAX: 18.03MIN: 14.25 / MAX: 18.36MIN: 14.18 / MAX: 17.18MIN: 14.32 / MAX: 21.23MIN: 14.2 / MAX: 17.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tiny5432151015202520.0119.9820.0020.2420.00MIN: 18.09 / MAX: 21.97MIN: 16.44 / MAX: 21.44MIN: 18.08 / MAX: 22.14MIN: 17.97 / MAX: 24.64MIN: 17.77 / MAX: 21.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssd543214812162013.2513.1914.0913.1813.47MIN: 12.14 / MAX: 17.67MIN: 12.04 / MAX: 20.01MIN: 12.14 / MAX: 19.02MIN: 12.01 / MAX: 18.7MIN: 11.98 / MAX: 19.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400m54321369121510.1510.3410.1210.3710.19MIN: 8.04 / MAX: 15.31MIN: 8.08 / MAX: 13.86MIN: 8.01 / MAX: 14.31MIN: 8 / MAX: 13.62MIN: 8.08 / MAX: 13.581. (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: Scala Dotty543212004006008001000965.4968.01038.31111.51132.9MIN: 822.35 / MAX: 1656.11MIN: 797.44 / MAX: 1715.9MIN: 789.12 / MAX: 1519.26MIN: 825.61 / MAX: 1673.04MIN: 869.98 / MAX: 1652.27

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest543212004006008001000891.3911.1902.9892.7920.0MIN: 822.7 / MAX: 1078.04MIN: 823.41 / MAX: 1100.48MIN: 822.24 / MAX: 1077.32MIN: 815.43 / MAX: 1071.54MIN: 857.45 / MAX: 1097.17

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens543212K4K6K8K10K9857.09814.810001.39878.29836.8MAX: 10953.76MAX: 10837.56MAX: 10664.39MIN: 9878.16 / MAX: 10881.78MIN: 9836.79 / MAX: 10913.95

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS5432150010001500200025002220.62202.12305.22279.62359.6MIN: 1994.96 / MAX: 2449.6MIN: 2007.07 / MAX: 2378.82MIN: 2098.45 / MAX: 2612.05MIN: 2114.19 / MAX: 2739.91MIN: 1999.13 / MAX: 2897.65

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes54321300600900120015001231.91162.11180.91184.21209.1MIN: 895.93 / MAX: 1323.17MIN: 828.94 / MAX: 1413.63MIN: 838.22 / MAX: 1318.56MIN: 844.46 / MAX: 1454.51MIN: 844.99 / MAX: 1362.04

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO543213K6K9K12K15K11704.212667.511693.412326.512292.6MAX: 16979.22MAX: 18487.31MAX: 22224.71MAX: 24642.39MIN: 12292.59 / MAX: 18810.77

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank54321120024003600480060005102.04485.85041.35443.75088.7MIN: 4315.23 / MAX: 5711.89MIN: 3933.91 / MAX: 4772.53MIN: 4424.93 / MAX: 5742.67MIN: 4391.93 / MAX: 6021.74MIN: 4448.56 / MAX: 6210.19

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests5432190018002700360045004006.94040.64055.73906.74099.4MIN: 3646.54 / MAX: 4121.13MIN: 3751.67 / MAX: 4040.65MIN: 3691.81 / MAX: 4318.24MIN: 3579.93 / MAX: 4123.16MIN: 3762.19 / MAX: 4201.46

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout54321140028004200560070006457.26142.06178.36439.56178.5MIN: 5915.55 / MAX: 8134.07MIN: 5851.56 / MAX: 7455.54MIN: 5620.9 / MAX: 6868.2MIN: 6072.23 / MAX: 7632.21MIN: 5704.5 / MAX: 7336.04

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree543215K10K15K20K25K21886.522068.221476.321813.421703.7MIN: 17290.55 / MAX: 21886.51MIN: 17854.31MIN: 16811.84MIN: 17692.66MIN: 17470.92

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures5432160012001800240030002660.02620.02679.72700.42665.9MIN: 2578.14 / MAX: 2737.39MIN: 2515.57 / MAX: 2711.91MIN: 2563.63 / MAX: 2741.28MIN: 2545.29 / MAX: 2761.15MIN: 2578.84 / MAX: 2774.18

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: DenseNet5432170014002100280035003035.693035.013026.063023.793034.70MIN: 2892.85 / MAX: 3147.55MIN: 2955.47 / MAX: 3126.05MIN: 2928.6 / MAX: 3128.17MIN: 2920.77 / MAX: 3156.22MIN: 2912.24 / MAX: 3124.531. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v25432170140210280350304.27305.57306.19305.28306.27MIN: 290.3 / MAX: 318.91MIN: 292.7 / MAX: 327.33MIN: 287.51 / MAX: 329.75MIN: 285.8 / MAX: 332.42MIN: 286.26 / MAX: 326.581. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v254321163248648072.7271.2271.3872.5172.12MIN: 72.49 / MAX: 73.01MIN: 70.73 / MAX: 73.6MIN: 70.98 / MAX: 72.07MIN: 72.19 / MAX: 72.84MIN: 71.88 / MAX: 72.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.15432160120180240300260.29256.30256.32256.49256.36MIN: 259.71 / MAX: 261.25MIN: 256.1 / MAX: 256.7MIN: 256.09 / MAX: 256.97MIN: 256.23 / MAX: 256.87MIN: 256.1 / MAX: 260.811. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

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 Scene543212040608010096.4798.4598.8398.4096.091. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype

67 Results Shown

Apache Cassandra:
  Reads
  Writes
  Mixed 1:1
  Mixed 1:3
C-Blosc
Facebook RocksDB:
  Rand Fill
  Rand Read
  Update Rand
  Seq Fill
  Rand Fill Sync
  Read While Writing
  Read Rand Write Rand
GravityMark
Mobile Neural Network:
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
Natron
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
Renaissance:
  Scala Dotty
  Rand Forest
  ALS Movie Lens
  Apache Spark ALS
  Apache Spark Bayes
  Savina Reactors.IO
  Apache Spark PageRank
  Finagle HTTP Requests
  In-Memory Database Shootout
  Akka Unbalanced Cobwebbed Tree
  Genetic Algorithm Using Jenetics + Futures
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
YafaRay