2700X Friday

AMD Ryzen 7 2700X Eight-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 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 2009252-FI-2700XFRID04
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HPC - High Performance Computing 2 Tests
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September 25 2020
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September 25 2020
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September 25 2020
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2700X FridayProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS)AMD 17h16GBSamsung SSD 970 EVO 250GBSapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1260/1750MHz)AMD Ellesmere HDMI AudioDELL S2409WIntel I211 + Realtek RTL8822BE 802.11a/b/g/n/acUbuntu 20.045.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8 (LLVM 10.0.0)1.2.128GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler 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,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 - CPU Microcode: 0x800820dGraphics Details- GLAMORSecurity 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

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1231530456075SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 365.0264.9664.93

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes123110220330440550SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3501.13501.29501.29

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only123130260390520650SE +/- 0.61, N = 3SE +/- 0.27, N = 3SE +/- 0.73, N = 3607.47605.97606.24MIN: 413.79 / MAX: 750MIN: 413.79 / MAX: 750MIN: 400 / MAX: 7501. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only123400800120016002000SE +/- 2.40, N = 3SE +/- 2.78, N = 3SE +/- 2.59, N = 31829.671826.611823.26MIN: 1090.89 / MAX: 3000.03MIN: 1090.89 / MAX: 2999.99MIN: 1090.89 / MAX: 3000.031. mpv 0.32.0

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 20200916Target: CPU - Model: squeezenet123612182430SE +/- 0.33, N = 6SE +/- 0.24, N = 3SE +/- 0.37, N = 326.8026.3326.43MIN: 24.08 / MAX: 210.95MIN: 24.16 / MAX: 113.64MIN: 24.23 / MAX: 135.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123714212835SE +/- 0.20, N = 6SE +/- 0.21, N = 3SE +/- 0.11, N = 329.9029.6529.45MIN: 27.45 / MAX: 127.43MIN: 27.93 / MAX: 109.9MIN: 27.31 / MAX: 78.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.14, N = 6SE +/- 0.28, N = 3SE +/- 0.19, N = 39.239.239.11MIN: 8.63 / MAX: 60.5MIN: 8.54 / MAX: 41.72MIN: 8.64 / MAX: 44.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.06, N = 6SE +/- 0.34, N = 3SE +/- 0.03, N = 37.908.297.87MIN: 7.59 / MAX: 18.88MIN: 7.51 / MAX: 135.32MIN: 7.72 / MAX: 9.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810SE +/- 0.04, N = 6SE +/- 0.06, N = 3SE +/- 0.10, N = 36.646.696.73MIN: 6.4 / MAX: 8.66MIN: 6.54 / MAX: 9.02MIN: 6.47 / MAX: 8.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810SE +/- 0.15, N = 6SE +/- 0.06, N = 3SE +/- 0.41, N = 38.177.958.68MIN: 7.65 / MAX: 145.23MIN: 7.82 / MAX: 9.79MIN: 7.69 / MAX: 137.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215SE +/- 0.11, N = 6SE +/- 0.22, N = 3SE +/- 0.09, N = 311.3811.5011.21MIN: 10.92 / MAX: 83.32MIN: 11.13 / MAX: 28.79MIN: 10.97 / MAX: 29.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.631.261.892.523.15SE +/- 0.02, N = 6SE +/- 0.19, N = 3SE +/- 0.10, N = 32.432.802.48MIN: 2.29 / MAX: 14.66MIN: 2.32 / MAX: 115.37MIN: 2.32 / MAX: 31.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123612182430SE +/- 0.22, N = 6SE +/- 0.38, N = 3SE +/- 0.34, N = 324.0324.1023.55MIN: 21.54 / MAX: 96.33MIN: 21.73 / MAX: 145.64MIN: 21.58 / MAX: 76.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100SE +/- 0.26, N = 6SE +/- 0.25, N = 3SE +/- 0.39, N = 382.4781.5981.61MIN: 79.62 / MAX: 108.99MIN: 80.19 / MAX: 121.45MIN: 80.2 / MAX: 93.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025SE +/- 0.26, N = 6SE +/- 0.74, N = 3SE +/- 0.49, N = 322.0221.0420.98MIN: 19.82 / MAX: 103.26MIN: 19.98 / MAX: 102.59MIN: 19.93 / MAX: 72.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12348121620SE +/- 0.09, N = 6SE +/- 0.10, N = 3SE +/- 0.02, N = 316.9717.0516.94MIN: 16.5 / MAX: 71.32MIN: 16.79 / MAX: 68.42MIN: 16.78 / MAX: 23.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231020304050SE +/- 0.30, N = 6SE +/- 1.74, N = 3SE +/- 0.76, N = 346.0043.9843.58MIN: 41.77 / MAX: 134.59MIN: 41.87 / MAX: 278.51MIN: 41.87 / MAX: 94.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123918273645SE +/- 0.06, N = 6SE +/- 0.18, N = 3SE +/- 0.27, N = 341.0640.8640.84MIN: 38.31 / MAX: 79.97MIN: 38.54 / MAX: 70.92MIN: 38.52 / MAX: 69.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 317.2217.2617.28MIN: 17.03 / MAX: 18.01MIN: 17.06 / MAX: 18.76MIN: 17.07 / MAX: 23.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet12348121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 314.9414.9914.90MIN: 14.08 / MAX: 16.55MIN: 13.97 / MAX: 17.12MIN: 14.04 / MAX: 16.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.217.207.20MIN: 7.18 / MAX: 8.68MIN: 7.16 / MAX: 9.16MIN: 7.17 / MAX: 7.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.768.768.76MIN: 8.39 / MAX: 11.41MIN: 8.48 / MAX: 11.33MIN: 8.4 / MAX: 11.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21231.0982.1963.2944.3925.49SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.864.884.87MIN: 4.72 / MAX: 6.17MIN: 4.7 / MAX: 5.84MIN: 4.71 / MAX: 5.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet123246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 38.048.048.03MIN: 7.82 / MAX: 10MIN: 7.74 / MAX: 12.65MIN: 7.83 / MAX: 10.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b012348121620SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 317.6317.7017.69MIN: 16.63 / MAX: 23.53MIN: 16.62 / MAX: 23.39MIN: 16.63 / MAX: 23.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.35550.7111.06651.4221.7775SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 31.541.561.58MIN: 1.45 / MAX: 2.13MIN: 1.45 / MAX: 2.33MIN: 1.44 / MAX: 2.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 319.7419.7819.74MIN: 19.1 / MAX: 24.24MIN: 19.1 / MAX: 24MIN: 19.11 / MAX: 23.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612320406080100SE +/- 0.18, N = 3SE +/- 0.28, N = 3SE +/- 0.23, N = 375.7375.8875.60MIN: 74.97 / MAX: 78.14MIN: 75.05 / MAX: 77.05MIN: 75.04 / MAX: 76.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet181233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 311.6311.6011.60MIN: 10.98 / MAX: 16.23MIN: 10.97 / MAX: 16.41MIN: 10.98 / MAX: 16.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet12348121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 314.6214.6014.63MIN: 14.01 / MAX: 17.31MIN: 14.01 / MAX: 17.36MIN: 14 / MAX: 17.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123714212835SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 328.5528.5128.57MIN: 27.11 / MAX: 34.51MIN: 27.1 / MAX: 35.1MIN: 27.12 / MAX: 35.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 327.7527.7127.75MIN: 24.48 / MAX: 31.67MIN: 25.56 / MAX: 29.37MIN: 24.56 / MAX: 33.61. (CXX) g++ options: -O3 -rdynamic -lgomp -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 0.2.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 0.31, N = 3SE +/- 0.17, N = 3SE +/- 0.53, N = 3280.64281.70280.73MIN: 264.36 / MAX: 302.88MIN: 264.27 / MAX: 300.42MIN: 258.46 / MAX: 302.791. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.12, N = 3SE +/- 0.94, N = 3SE +/- 0.44, N = 3250.11249.10248.90MIN: 249.5 / MAX: 251.07MIN: 247.84 / MAX: 255.49MIN: 248.04 / MAX: 250.431. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 730.28, N = 3SE +/- 1090.32, N = 3SE +/- 1108.31, N = 31049682.41052491.11052562.9

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 1743.48, N = 3SE +/- 1679.54, N = 3SE +/- 3309.53, N = 31181883.81179317.21185963.1

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 825.32, N = 3SE +/- 1962.93, N = 3SE +/- 2123.61, N = 31197790.11202929.61199663.7