3900XT

AMD Ryzen 9 3900XT 12-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS) and AMD Radeon RX 56/64 8GB 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 2009257-PTS-3900XT1234
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Creator Workloads 3 Tests
HPC - High Performance Computing 2 Tests
Imaging 2 Tests
Machine Learning 2 Tests
NVIDIA GPU Compute 2 Tests
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Vulkan Compute 2 Tests

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3900XTProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads)MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS)AMD Starship/Matisse16GB500GB Seagate FireCuda 520 SSD ZP500GM30002AMD Radeon RX 56/64 8GB (1630/945MHz)AMD Vega 10 HDMI AudioASUS MG28URealtek Device 2600 + Realtek Device 3000 + Intel Wi-Fi 6 AX200Ubuntu 20.045.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.3.0-devel (git-31f75aa 2020-08-28 focal-oibaf-ppa) (LLVM 10.0.1)GCC 9.3.0ext43840x2160OpenBenchmarking.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: 0x8701021Graphics 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion123918273645SE +/- 0.49, N = 3SE +/- 0.33, N = 3SE +/- 0.53, N = 338.1036.9737.981. (CC) gcc options: -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123612182430SE +/- 0.30, N = 4SE +/- 0.26, N = 4SE +/- 0.31, N = 426.5126.5926.851. (CC) gcc options: -O2 -std=c99

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 Only123140280420560700SE +/- 0.87, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3644.02641.54642.80MIN: 413.76 / MAX: 799.95MIN: 428.54 / MAX: 799.95MIN: 428.54 / MAX: 799.951. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only1235001000150020002500SE +/- 12.58, N = 3SE +/- 17.65, N = 3SE +/- 1.72, N = 32129.612108.262116.86MIN: 1199.91 / MAX: 3999.84MIN: 1199.9 / MAX: 3999.84MIN: 1199.92 / MAX: 3999.841. 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: squeezenet12348121620SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 315.7415.9215.76MIN: 15.46 / MAX: 16.99MIN: 15.5 / MAX: 17.87MIN: 15.5 / MAX: 17.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet12348121620SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 316.1916.2416.11MIN: 15.91 / MAX: 22.49MIN: 15.89 / MAX: 17.22MIN: 15.63 / MAX: 25.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21231.2152.433.6454.866.075SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 35.365.405.37MIN: 5.22 / MAX: 6.72MIN: 5.21 / MAX: 30.35MIN: 5.23 / MAX: 7.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.07332.14663.21994.29325.3665SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 34.734.774.72MIN: 4.65 / MAX: 6.22MIN: 4.65 / MAX: 6.69MIN: 4.66 / MAX: 6.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21231.09582.19163.28744.38325.479SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.854.844.87MIN: 4.76 / MAX: 5.88MIN: 4.76 / MAX: 6.29MIN: 4.78 / MAX: 14.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1231.0892.1783.2674.3565.445SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 34.794.834.84MIN: 4.68 / MAX: 17.17MIN: 4.68 / MAX: 6.42MIN: 4.7 / MAX: 20.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 36.566.596.58MIN: 6.46 / MAX: 8.6MIN: 6.43 / MAX: 7.68MIN: 6.45 / MAX: 8.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.4320.8641.2961.7282.16SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.911.921.91MIN: 1.87 / MAX: 2.01MIN: 1.88 / MAX: 1.99MIN: 1.88 / MAX: 3.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 316.8616.9816.95MIN: 16.51 / MAX: 17.6MIN: 16.51 / MAX: 22.78MIN: 16.52 / MAX: 471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231530456075SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 366.5966.5866.93MIN: 65.75 / MAX: 94.17MIN: 65.6 / MAX: 73.97MIN: 65.55 / MAX: 113.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 316.0616.1516.27MIN: 15.94 / MAX: 17.35MIN: 15.93 / MAX: 19.39MIN: 15.97 / MAX: 16.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12348121620SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 215.9916.1016.05MIN: 15.87 / MAX: 17.63MIN: 15.95 / MAX: 16.76MIN: 15.94 / MAX: 17.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123612182430SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 327.2227.4827.40MIN: 26.97 / MAX: 39.06MIN: 27.02 / MAX: 28.37MIN: 26.92 / MAX: 31.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 327.7728.0927.96MIN: 27.56 / MAX: 29.72MIN: 27.69 / MAX: 46.24MIN: 27.55 / MAX: 38.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet1231.05982.11963.17944.23925.299SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.704.714.69MIN: 4.51 / MAX: 6.08MIN: 4.5 / MAX: 7.76MIN: 4.48 / MAX: 10.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 37.747.777.67MIN: 5.59 / MAX: 16.26MIN: 5.52 / MAX: 21.68MIN: 5.54 / MAX: 8.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21230.56251.1251.68752.252.8125SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.502.492.50MIN: 2.47 / MAX: 3.29MIN: 2.47 / MAX: 2.87MIN: 2.47 / MAX: 3.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31230.7921.5842.3763.1683.96SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.513.503.52MIN: 3.47 / MAX: 4.61MIN: 3.47 / MAX: 4.45MIN: 3.46 / MAX: 6.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21230.5131.0261.5392.0522.565SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.272.282.26MIN: 2.24 / MAX: 2.68MIN: 2.24 / MAX: 5.63MIN: 2.24 / MAX: 3.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1230.60531.21061.81592.42123.0265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 32.682.672.69MIN: 2.64 / MAX: 3.42MIN: 2.65 / MAX: 3.08MIN: 2.64 / MAX: 3.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b01233691215SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 310.6010.6110.40MIN: 8.76 / MAX: 25.78MIN: 8.78 / MAX: 26.67MIN: 8.75 / MAX: 28.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.19350.3870.58050.7740.9675SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.860.850.86MIN: 0.84 / MAX: 2.18MIN: 0.84 / MAX: 1.44MIN: 0.84 / MAX: 1.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet1231.29382.58763.88145.17526.469SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 35.665.755.72MIN: 5.53 / MAX: 13.59MIN: 5.53 / MAX: 21.41MIN: 5.53 / MAX: 20.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161233691215SE +/- 0.15, N = 3SE +/- 0.37, N = 3SE +/- 0.39, N = 311.5611.7811.69MIN: 9.54 / MAX: 33.99MIN: 9.57 / MAX: 40MIN: 9.58 / MAX: 321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet181230.47250.9451.41751.892.3625SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.082.102.10MIN: 1.99 / MAX: 2.8MIN: 2.01 / MAX: 3.12MIN: 2.01 / MAX: 2.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet1230.88431.76862.65293.53724.4215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.913.933.92MIN: 3.78 / MAX: 4.94MIN: 3.8 / MAX: 5.08MIN: 3.81 / MAX: 4.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123246810SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 35.966.156.25MIN: 5.85 / MAX: 14.29MIN: 5.83 / MAX: 16.87MIN: 5.83 / MAX: 20.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny1233691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.7610.6610.69MIN: 10.51 / MAX: 19.42MIN: 10.41 / MAX: 15.15MIN: 10.41 / MAX: 15.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: No1233691215SE +/- 0.020, N = 3SE +/- 0.028, N = 3SE +/- 0.015, N = 39.8899.7639.796

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes1231428425670SE +/- 0.65, N = 3SE +/- 0.64, N = 3SE +/- 0.64, N = 363.5763.7063.36

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 v212350100150200250SE +/- 3.64, N = 3SE +/- 1.15, N = 3SE +/- 2.08, N = 3245.47241.86243.31MIN: 233.9 / MAX: 271.91MIN: 232.76 / MAX: 269.11MIN: 232.67 / MAX: 266.311. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.22, N = 3SE +/- 3.52, N = 3SE +/- 3.31, N = 3227.26228.78231.19MIN: 226.42 / MAX: 228.33MIN: 223.79 / MAX: 236.95MIN: 224.89 / MAX: 238.471. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.3170.6340.9511.2681.585SE +/- 0.020, N = 4SE +/- 0.017, N = 3SE +/- 0.021, N = 31.3931.3991.4091. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.48760.97521.46281.95042.438SE +/- 0.027, N = 3SE +/- 0.001, N = 3SE +/- 0.032, N = 42.1292.1672.1491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.23, N = 315.2415.6115.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.105, N = 3SE +/- 0.099, N = 4SE +/- 0.084, N = 36.7946.6176.7451. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123714212835SE +/- 0.09, N = 3SE +/- 0.49, N = 3SE +/- 0.05, N = 332.1731.4832.261. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff