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
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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 Julygravitymark: 1920 x 1080 - Vulkanblosc: blosclzrenaissance: 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 + Futuresyafaray: Total Time For Sample Scenemnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: 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_400mtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1cassandra: Readscassandra: Writescassandra: Mixed 1:1cassandra: Mixed 1:3rocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randnatron: Spaceship1234533.215950.71132.9920.09836.82359.61209.112292.65088.74099.46178.521703.72665.996.0865.1659.86844.86812.2817.7075.11459.5329.5913.3813.011412.1917.035.7935.8797.1544.8324.5668.545242.9138.713.125.567.354.975.8515.483.1111.3128.937.0510.2915.322013.4710.193034.7306.26672.115256.355919431371901077959718155950610520252051600662925316365368444219292913.433.2157331111.5892.79878.22279.61184.212326.55443.73906.76439.521813.42700.498.4034.3248.95450.6711.0248.0464.94861.55231.0813.5313.6512.7812.8616.065.3330.987.6156.0626.9353.9547.0836.4336.8412.925.67.434.975.8315.273.111.3429.17.1110.4315.1620.2413.1810.373023.791305.27872.513256.4851055251301539899010508662900110619783551864959331617701379587520076923.233.215895.61038.3902.910001.32305.21180.911693.45041.34055.76178.321476.32679.798.8255.2258.02446.24311.3637.6155.10959.59628.7113.0212.7413.5611.8417.125.5831.9480.5747.9622.9950.149.5138.8336.113.175.617.594.975.9115.262.9711.5828.86.9910.3915.322014.0910.123026.058306.18971.38256.32113840913111310503311283755856010792609249770965409512380359361419857723.333.216025.3968.0911.19814.82202.11162.112667.54485.84040.66142.022068.22620.098.4534.35910.29946.47512.6847.595.01159.24928.8213.2812.5913.8112.2916.685.6133.6798.9351.5327.8354.649.1241.1536.2512.985.57.394.935.8815.213.0311.3829.066.9210.3315.219.9813.1910.343035.013305.56871.217256.3031026661318461090659627156386111035565449871558667920282365600719867903.233.215930.8965.4891.39857.02220.61231.911704.25102.04006.96457.221886.52660.096.4674.2669.97446.21712.8067.2924.99657.15628.7513.513.5613.5311.7116.525.5331.5983.4231.2232.9367.9248.6741.5436.5512.975.467.354.995.8615.33.4411.2828.97.0610.3815.2320.0113.2510.153035.692304.2772.72260.28810620113092010568211161452403110837104451584766221519465363427819866402.8OpenBenchmarking.org

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: Vulkan1234581624324033.233.233.233.233.2

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: blosclz235143K6K9K12K15K15733.015895.615930.815950.716025.31. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -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: Scala Dotty1234520040060080010001132.91111.51038.3968.0965.4MIN: 869.98 / MAX: 1652.27MIN: 825.61 / MAX: 1673.04MIN: 789.12 / MAX: 1519.26MIN: 797.44 / MAX: 1715.9MIN: 822.35 / MAX: 1656.11

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest143252004006008001000920.0911.1902.9892.7891.3MIN: 857.45 / MAX: 1097.17MIN: 823.41 / MAX: 1100.48MIN: 822.24 / MAX: 1077.32MIN: 815.43 / MAX: 1071.54MIN: 822.7 / MAX: 1078.04

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens325142K4K6K8K10K10001.39878.29857.09836.89814.8MAX: 10664.39MIN: 9878.16 / MAX: 10881.78MAX: 10953.76MIN: 9836.79 / MAX: 10913.95MAX: 10837.56

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS1325450010001500200025002359.62305.22279.62220.62202.1MIN: 1999.13 / MAX: 2897.65MIN: 2098.45 / MAX: 2612.05MIN: 2114.19 / MAX: 2739.91MIN: 1994.96 / MAX: 2449.6MIN: 2007.07 / MAX: 2378.82

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes51234300600900120015001231.91209.11184.21180.91162.1MIN: 895.93 / MAX: 1323.17MIN: 844.99 / MAX: 1362.04MIN: 844.46 / MAX: 1454.51MIN: 838.22 / MAX: 1318.56MIN: 828.94 / MAX: 1413.63

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO421533K6K9K12K15K12667.512326.512292.611704.211693.4MAX: 18487.31MAX: 24642.39MIN: 12292.59 / MAX: 18810.77MAX: 16979.22MAX: 22224.71

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank25134120024003600480060005443.75102.05088.75041.34485.8MIN: 4391.93 / MAX: 6021.74MIN: 4315.23 / MAX: 5711.89MIN: 4448.56 / MAX: 6210.19MIN: 4424.93 / MAX: 5742.67MIN: 3933.91 / MAX: 4772.53

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests1345290018002700360045004099.44055.74040.64006.93906.7MIN: 3762.19 / MAX: 4201.46MIN: 3691.81 / MAX: 4318.24MIN: 3751.67 / MAX: 4040.65MIN: 3646.54 / MAX: 4121.13MIN: 3579.93 / MAX: 4123.16

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout52134140028004200560070006457.26439.56178.56178.36142.0MIN: 5915.55 / MAX: 8134.07MIN: 6072.23 / MAX: 7632.21MIN: 5704.5 / MAX: 7336.04MIN: 5620.9 / MAX: 6868.2MIN: 5851.56 / MAX: 7455.54

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree452135K10K15K20K25K22068.221886.521813.421703.721476.3MIN: 17854.31MIN: 17290.55 / MAX: 21886.51MIN: 17692.66MIN: 17470.92MIN: 16811.84

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures2315460012001800240030002700.42679.72665.92660.02620.0MIN: 2545.29 / MAX: 2761.15MIN: 2563.63 / MAX: 2741.28MIN: 2578.84 / MAX: 2774.18MIN: 2578.14 / MAX: 2737.39MIN: 2515.57 / MAX: 2711.91

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 Scene342512040608010098.8398.4598.4096.4796.091. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype

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: mobilenetV3314251.17562.35123.52684.70245.8785.2255.1654.3594.3244.266MIN: 5.17 / MAX: 5.3MIN: 5.09 / MAX: 5.32MIN: 4.19 / MAX: 4.5MIN: 4.26 / MAX: 4.41MIN: 4.19 / MAX: 4.341. (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: squeezenetv1.145123369121510.2999.9749.8688.9548.024MIN: 9.73 / MAX: 18.57MIN: 7.53 / MAX: 12.21MIN: 9.54 / MAX: 23.89MIN: 8.01 / MAX: 11.74MIN: 7.58 / MAX: 11.851. (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-v2-5024351112233445550.6746.4846.2446.2244.87MIN: 44.15 / MAX: 55.02MIN: 43.11 / MAX: 50.9MIN: 42.25 / MAX: 53.65MIN: 41.32 / MAX: 52.99MIN: 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: SqueezeNetV1.054132369121512.8112.6812.2811.3611.02MIN: 11.94 / MAX: 21.8MIN: 12.08 / MAX: 18.74MIN: 11.38 / MAX: 19.14MIN: 11.04 / MAX: 29.01MIN: 10.22 / MAX: 21.71. (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: MobileNetV2_224213452468108.0467.7077.6157.5907.292MIN: 7.62 / MAX: 8.45MIN: 7.59 / MAX: 7.99MIN: 7.29 / MAX: 12.92MIN: 7.48 / MAX: 7.71MIN: 7.11 / MAX: 7.431. (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: mobilenet-v1-1.0134521.15072.30143.45214.60285.75355.1145.1095.0114.9964.948MIN: 4.89 / MAX: 30.05MIN: 4.71 / MAX: 29.42MIN: 4.8 / MAX: 22.32MIN: 4.88 / MAX: 35.84MIN: 4.79 / MAX: 25.011. (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: inception-v323145142842567061.5559.6059.5359.2557.16MIN: 51.43 / MAX: 102.58MIN: 55.24 / MAX: 97.8MIN: 56.78 / MAX: 99.98MIN: 52.71 / MAX: 69.65MIN: 54.43 / MAX: 135.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet2145371421283531.0829.5928.8228.7528.71MIN: 26.18 / MAX: 458.09MIN: 27.53 / MAX: 185.96MIN: 27.42 / MAX: 44.83MIN: 26.67 / MAX: 185.23MIN: 27.73 / MAX: 39.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v225143369121513.5313.5013.3813.2813.02MIN: 13.01 / MAX: 42.06MIN: 12.07 / MAX: 135.13MIN: 13 / MAX: 38.43MIN: 12.8 / MAX: 35.47MIN: 12.64 / MAX: 48.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3251344812162013.6513.5613.0112.7412.59MIN: 11.77 / MAX: 337.64MIN: 12 / MAX: 333.01MIN: 12.47 / MAX: 57.66MIN: 11.95 / MAX: 65MIN: 12.09 / MAX: 33.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2143524812162014.0013.8113.5613.5312.78MIN: 13.87 / MAX: 19.94MIN: 13.54 / MAX: 53.61MIN: 13.3 / MAX: 14.22MIN: 13.47 / MAX: 15.05MIN: 12.67 / MAX: 14.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet24135369121512.8612.2912.1911.8411.71MIN: 10.99 / MAX: 95.85MIN: 11.63 / MAX: 72.91MIN: 11.38 / MAX: 68.71MIN: 11.45 / MAX: 23.8MIN: 11.35 / MAX: 33.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0314524812162017.1217.0316.6816.5216.06MIN: 16.12 / MAX: 152.21MIN: 16.22 / MAX: 51.28MIN: 16.15 / MAX: 50.41MIN: 16.25 / MAX: 18.02MIN: 15.75 / MAX: 30.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface143521.30282.60563.90845.21126.5145.795.615.585.535.33MIN: 5.69 / MAX: 6.07MIN: 5.5 / MAX: 7.92MIN: 5.47 / MAX: 5.72MIN: 5.45 / MAX: 7.37MIN: 5.25 / MAX: 5.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet1435281624324035.8733.6731.9431.5930.90MIN: 28.45 / MAX: 481.26MIN: 27.61 / MAX: 462.78MIN: 27.72 / MAX: 426.31MIN: 28.02 / MAX: 460.48MIN: 27.29 / MAX: 397.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16412532040608010098.9397.1587.6183.4280.57MIN: 74.18 / MAX: 190.37MIN: 64.38 / MAX: 202.68MIN: 68.85 / MAX: 190.59MIN: 66.24 / MAX: 193.76MIN: 62.68 / MAX: 197.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet1824315132639526556.0651.5347.9644.8331.22MIN: 23.61 / MAX: 202.81MIN: 22.9 / MAX: 210.3MIN: 21.37 / MAX: 192.24MIN: 23.94 / MAX: 207.98MIN: 23.82 / MAX: 211.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet5421381624324032.9327.8326.9324.5622.99MIN: 19.24 / MAX: 89.92MIN: 18.52 / MAX: 91.86MIN: 19.47 / MAX: 85.7MIN: 15.88 / MAX: 92.56MIN: 15.58 / MAX: 92.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet5015423153045607568.5467.9254.6053.9550.10MIN: 39.32 / MAX: 510.25MIN: 38.45 / MAX: 507.97MIN: 36.7 / MAX: 497.36MIN: 37.14 / MAX: 491.26MIN: 37.92 / MAX: 520.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny13452122436486052.0049.5149.1248.6747.08MIN: 40.2 / MAX: 208.8MIN: 41.22 / MAX: 202.49MIN: 42.66 / MAX: 205.45MIN: 40.87 / MAX: 205.92MIN: 42.27 / MAX: 198.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd15432102030405042.9141.5441.1538.8336.43MIN: 30.87 / MAX: 416.32MIN: 30.67 / MAX: 413.78MIN: 31.18 / MAX: 416.67MIN: 30.73 / MAX: 374.79MIN: 30.42 / MAX: 410.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400m1254391827364538.7036.8436.5536.2536.10MIN: 37.97 / MAX: 85.56MIN: 34.73 / MAX: 162.06MIN: 35.32 / MAX: 206.92MIN: 35.89 / MAX: 36.77MIN: 35.69 / MAX: 56.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenet31452369121513.1713.1212.9812.9712.92MIN: 11.48 / MAX: 18.65MIN: 11.31 / MAX: 18.96MIN: 11.47 / MAX: 14.98MIN: 11.33 / MAX: 18.32MIN: 11.38 / MAX: 15.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2321451.26232.52463.78695.04926.31155.615.605.565.505.46MIN: 4.95 / MAX: 7.34MIN: 4.95 / MAX: 7.16MIN: 4.93 / MAX: 7.18MIN: 4.94 / MAX: 7.18MIN: 4.93 / MAX: 6.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3324512468107.597.437.397.357.35MIN: 6.31 / MAX: 10.66MIN: 6.48 / MAX: 9.01MIN: 6.27 / MAX: 9.03MIN: 6.45 / MAX: 9.02MIN: 6.43 / MAX: 9.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2532141.12282.24563.36844.49125.6144.994.974.974.974.93MIN: 4.45 / MAX: 6.42MIN: 4.46 / MAX: 6.42MIN: 4.43 / MAX: 7.23MIN: 4.45 / MAX: 6.44MIN: 4.41 / MAX: 6.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnet345121.32982.65963.98945.31926.6495.915.885.865.855.83MIN: 5.17 / MAX: 10.71MIN: 5.16 / MAX: 7.25MIN: 5.15 / MAX: 7.6MIN: 5.13 / MAX: 8.18MIN: 5.18 / MAX: 8.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0152344812162015.4815.3015.2715.2615.21MIN: 13.52 / MAX: 20.06MIN: 14.03 / MAX: 20.69MIN: 14.21 / MAX: 18.36MIN: 13.95 / MAX: 21.41MIN: 14.37 / MAX: 21.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazeface512430.7741.5482.3223.0963.873.443.113.103.032.97MIN: 2.52 / MAX: 6.05MIN: 2.56 / MAX: 5.4MIN: 2.87 / MAX: 5.62MIN: 2.87 / MAX: 3.67MIN: 2.58 / MAX: 3.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenet34215369121511.5811.3811.3411.3111.28MIN: 10.33 / MAX: 13.46MIN: 10.43 / MAX: 12.85MIN: 10.3 / MAX: 12.72MIN: 10.2 / MAX: 13.65MIN: 10.25 / MAX: 12.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg162415371421283529.1029.0628.9328.9028.80MIN: 28.36 / MAX: 31.55MIN: 28.36 / MAX: 37.22MIN: 28.31 / MAX: 34.95MIN: 28.29 / MAX: 32.91MIN: 28.26 / MAX: 37.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18251342468107.117.067.056.996.92MIN: 6.36 / MAX: 8.36MIN: 6.39 / MAX: 7.63MIN: 6.43 / MAX: 8.03MIN: 6.38 / MAX: 7.85MIN: 6.38 / MAX: 7.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnet23541369121510.4310.3910.3810.3310.29MIN: 10.1 / MAX: 15.52MIN: 10.04 / MAX: 12.5MIN: 9.96 / MAX: 12.15MIN: 10.03 / MAX: 11.3MIN: 9.88 / MAX: 11.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50315424812162015.3215.3215.2315.2015.16MIN: 14.18 / MAX: 17.18MIN: 14.2 / MAX: 17.18MIN: 14.32 / MAX: 18.03MIN: 14.25 / MAX: 18.36MIN: 14.32 / MAX: 21.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tiny2531451015202520.2420.0120.0020.0019.98MIN: 17.97 / MAX: 24.64MIN: 18.09 / MAX: 21.97MIN: 18.08 / MAX: 22.14MIN: 17.77 / MAX: 21.15MIN: 16.44 / MAX: 21.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssd315424812162014.0913.4713.2513.1913.18MIN: 12.14 / MAX: 19.02MIN: 11.98 / MAX: 19.27MIN: 12.14 / MAX: 17.67MIN: 12.04 / MAX: 20.01MIN: 12.01 / MAX: 18.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400m24153369121510.3710.3410.1910.1510.12MIN: 8 / MAX: 13.62MIN: 8.08 / MAX: 13.86MIN: 8.08 / MAX: 13.58MIN: 8.04 / MAX: 15.31MIN: 8.01 / MAX: 14.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: DenseNet5413270014002100280035003035.693035.013034.703026.063023.79MIN: 2892.85 / MAX: 3147.55MIN: 2955.47 / MAX: 3126.05MIN: 2912.24 / MAX: 3124.53MIN: 2928.6 / MAX: 3128.17MIN: 2920.77 / MAX: 3156.221. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v21342570140210280350306.27306.19305.57305.28304.27MIN: 286.26 / MAX: 326.58MIN: 287.51 / MAX: 329.75MIN: 292.7 / MAX: 327.33MIN: 285.8 / MAX: 332.42MIN: 290.3 / MAX: 318.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v252134163248648072.7272.5172.1271.3871.22MIN: 72.49 / MAX: 73.01MIN: 72.19 / MAX: 72.84MIN: 71.88 / MAX: 72.89MIN: 70.98 / MAX: 72.07MIN: 70.73 / MAX: 73.61. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.15213460120180240300260.29256.49256.36256.32256.30MIN: 259.71 / MAX: 261.25MIN: 256.23 / MAX: 256.87MIN: 256.1 / MAX: 260.81MIN: 256.09 / MAX: 256.97MIN: 256.1 / MAX: 256.71. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -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: Reads1425330K60K90K120K150K91943102666105525106201138409

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes2534130K60K90K120K150K130153130920131113131846137190

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:12351420K40K60K80K100K98990105033105682107795109065

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:34125320K40K60K80K100K9627197181105086111614112837

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 Fill53142130K260K390K520K650K5240315585605595065638616290011. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read1235420M40M60M80M100M1052025201061978351079260921083710441103556541. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random34512110K220K330K440K550K4977094987155158475160065186491. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill42135140K280K420K560K700K5866795933166292536540956622151. (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 Sync312544K8K12K16K20K12380163651770119465202821. (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 Writing35412800K1600K2400K3200K4000K359361436342783656007368444237958751. (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 Random13542400K800K1200K1600K2000K192929119857721986640198679020076921. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: Spaceship524310.7651.532.2953.063.8252.83.23.23.33.4

67 Results Shown

GravityMark
C-Blosc
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
YafaRay
Mobile Neural Network:
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
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
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
Apache Cassandra:
  Reads
  Writes
  Mixed 1:1
  Mixed 1:3
Facebook RocksDB:
  Rand Fill
  Rand Read
  Update Rand
  Seq Fill
  Rand Fill Sync
  Read While Writing
  Read Rand Write Rand
Natron