3800XT Saturday

AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 10 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 2101163-HA-3800XTSAT47
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3800XT SaturdayProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution12345AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS)AMD Starship/Matisse16GB128GB INTEL SSDPEKKW128G7Sapphire AMD Radeon HD 4650AMD RV710/730Intel I211Debian 104.19.0-13-amd64 (x86_64)X Server 1.20.4modesetting 1.20.4GCC 8.3.0ext41024x768OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021Python Details- Python 2.7.16 + Python 3.7.3Security 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

12345Result OverviewPhoronix Test Suite 10.2.2100%101%103%104%106%LAMMPS Molecular Dynamics SimulatorMobile Neural NetworkGoogle SynthMarkTimed Godot Game Engine CompilationCloverLeafrav1e

3800XT Saturdaycloverleaf: Lagrangian-Eulerian Hydrodynamicslammps: Rhodopsin Proteinrav1e: 1rav1e: 5rav1e: 6rav1e: 10build-godot: Time To Compilesynthmark: VoiceMark_100mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v312345184.106.3810.4491.3071.7473.748110.690666.3336.35424.7733.7553.05930.191184.786.5360.4451.3031.7393.782111.658670.9376.30124.3203.7373.10229.847184.936.6620.4471.3081.7423.743111.639663.6146.36124.2153.7202.99229.494184.586.3340.4461.3071.7423.768110.839670.1566.46524.5443.7883.05830.211184.966.7040.4481.3031.7433.784111.841673.3606.41124.7773.7473.05130.069OpenBenchmarking.org

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics123454080120160200SE +/- 0.31, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.48, N = 3SE +/- 0.26, N = 3184.10184.78184.93184.58184.961. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics12345306090120150Min: 183.48 / Avg: 184.1 / Max: 184.44Min: 184.48 / Avg: 184.78 / Max: 185.23Min: 184.49 / Avg: 184.93 / Max: 185.17Min: 183.82 / Avg: 184.58 / Max: 185.46Min: 184.67 / Avg: 184.96 / Max: 185.471. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12345246810SE +/- 0.135, N = 15SE +/- 0.088, N = 5SE +/- 0.081, N = 3SE +/- 0.123, N = 15SE +/- 0.028, N = 36.3816.5366.6626.3346.7041. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123453691215Min: 5.16 / Avg: 6.38 / Max: 6.83Min: 6.19 / Avg: 6.54 / Max: 6.67Min: 6.55 / Avg: 6.66 / Max: 6.82Min: 4.98 / Avg: 6.33 / Max: 6.8Min: 6.65 / Avg: 6.7 / Max: 6.751. (CXX) g++ options: -O3 -pthread -lm

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123450.1010.2020.3030.4040.505SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4490.4450.4470.4460.448
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11234512345Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.44 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123450.29430.58860.88291.17721.4715SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 31.3071.3031.3081.3071.303
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512345246810Min: 1.3 / Avg: 1.31 / Max: 1.31Min: 1.3 / Avg: 1.3 / Max: 1.31Min: 1.3 / Avg: 1.31 / Max: 1.31Min: 1.31 / Avg: 1.31 / Max: 1.31Min: 1.3 / Avg: 1.3 / Max: 1.31

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123450.39310.78621.17931.57241.9655SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 31.7471.7391.7421.7421.743
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612345246810Min: 1.75 / Avg: 1.75 / Max: 1.75Min: 1.73 / Avg: 1.74 / Max: 1.74Min: 1.74 / Avg: 1.74 / Max: 1.75Min: 1.74 / Avg: 1.74 / Max: 1.75Min: 1.74 / Avg: 1.74 / Max: 1.75

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123450.85141.70282.55423.40564.257SE +/- 0.004, N = 3SE +/- 0.027, N = 3SE +/- 0.014, N = 3SE +/- 0.005, N = 3SE +/- 0.012, N = 33.7483.7823.7433.7683.784
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012345246810Min: 3.74 / Avg: 3.75 / Max: 3.76Min: 3.74 / Avg: 3.78 / Max: 3.83Min: 3.72 / Avg: 3.74 / Max: 3.77Min: 3.76 / Avg: 3.77 / Max: 3.78Min: 3.76 / Avg: 3.78 / Max: 3.8

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12345306090120150SE +/- 0.54, N = 3SE +/- 0.85, N = 3SE +/- 0.84, N = 3SE +/- 0.91, N = 3SE +/- 0.92, N = 3110.69111.66111.64110.84111.84
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile1234520406080100Min: 109.84 / Avg: 110.69 / Max: 111.7Min: 110.05 / Avg: 111.66 / Max: 112.92Min: 110.22 / Avg: 111.64 / Max: 113.13Min: 109.86 / Avg: 110.84 / Max: 112.66Min: 110.63 / Avg: 111.84 / Max: 113.65

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_10012345150300450600750SE +/- 3.80, N = 3SE +/- 5.91, N = 3SE +/- 2.09, N = 3SE +/- 4.69, N = 3SE +/- 4.74, N = 3666.33670.94663.61670.16673.361. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_10012345120240360480600Min: 661.66 / Avg: 666.33 / Max: 673.87Min: 664.19 / Avg: 670.94 / Max: 682.71Min: 659.51 / Avg: 663.61 / Max: 666.32Min: 660.86 / Avg: 670.16 / Max: 675.9Min: 663.98 / Avg: 673.36 / Max: 679.311. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

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 1.1.1Model: SqueezeNetV1.012345246810SE +/- 0.053, N = 13SE +/- 0.035, N = 3SE +/- 0.014, N = 3SE +/- 0.098, N = 3SE +/- 0.047, N = 36.3546.3016.3616.4656.411MIN: 5.99 / MAX: 11.86MIN: 6.08 / MAX: 8.46MIN: 6.07 / MAX: 6.88MIN: 6.17 / MAX: 7.65MIN: 6.22 / MAX: 6.691. (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 1.1.1Model: SqueezeNetV1.0123453691215Min: 6.09 / Avg: 6.35 / Max: 6.61Min: 6.23 / Avg: 6.3 / Max: 6.35Min: 6.34 / Avg: 6.36 / Max: 6.39Min: 6.35 / Avg: 6.46 / Max: 6.66Min: 6.33 / Avg: 6.41 / 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 1.1.1Model: resnet-v2-5012345612182430SE +/- 0.14, N = 13SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 324.7724.3224.2224.5424.78MIN: 23.75 / MAX: 40.79MIN: 23.69 / MAX: 40.71MIN: 23.86 / MAX: 25.89MIN: 23.69 / MAX: 39.34MIN: 24.26 / MAX: 40.191. (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 1.1.1Model: resnet-v2-5012345612182430Min: 24.08 / Avg: 24.77 / Max: 26.06Min: 23.91 / Avg: 24.32 / Max: 24.88Min: 24.03 / Avg: 24.21 / Max: 24.4Min: 23.97 / Avg: 24.54 / Max: 25.03Min: 24.56 / Avg: 24.78 / Max: 24.961. (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 1.1.1Model: MobileNetV2_224123450.85231.70462.55693.40924.2615SE +/- 0.039, N = 13SE +/- 0.065, N = 3SE +/- 0.019, N = 3SE +/- 0.078, N = 3SE +/- 0.049, N = 33.7553.7373.7203.7883.747MIN: 3.52 / MAX: 8.89MIN: 3.5 / MAX: 8.52MIN: 3.58 / MAX: 9.02MIN: 3.64 / MAX: 4.08MIN: 3.61 / MAX: 3.981. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_22412345246810Min: 3.55 / Avg: 3.76 / Max: 3.93Min: 3.61 / Avg: 3.74 / Max: 3.82Min: 3.69 / Avg: 3.72 / Max: 3.75Min: 3.68 / Avg: 3.79 / Max: 3.94Min: 3.67 / Avg: 3.75 / Max: 3.841. (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 1.1.1Model: mobilenet-v1-1.0123450.6981.3962.0942.7923.49SE +/- 0.026, N = 13SE +/- 0.070, N = 3SE +/- 0.025, N = 3SE +/- 0.035, N = 3SE +/- 0.028, N = 33.0593.1022.9923.0583.051MIN: 2.87 / MAX: 7.86MIN: 2.92 / MAX: 8.05MIN: 2.92 / MAX: 4.2MIN: 2.97 / MAX: 5.54MIN: 2.98 / MAX: 5.571. (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 1.1.1Model: mobilenet-v1-1.012345246810Min: 2.89 / Avg: 3.06 / Max: 3.19Min: 3.03 / Avg: 3.1 / Max: 3.24Min: 2.94 / Avg: 2.99 / Max: 3.03Min: 3.01 / Avg: 3.06 / Max: 3.12Min: 3.01 / Avg: 3.05 / Max: 3.11. (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 1.1.1Model: inception-v312345714212835SE +/- 0.18, N = 13SE +/- 0.59, N = 3SE +/- 0.05, N = 3SE +/- 0.28, N = 3SE +/- 0.27, N = 330.1929.8529.4930.2130.07MIN: 28.51 / MAX: 49.37MIN: 28.67 / MAX: 49.39MIN: 28.66 / MAX: 47.3MIN: 29.24 / MAX: 50.83MIN: 29.34 / MAX: 48.731. (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 1.1.1Model: inception-v312345714212835Min: 28.99 / Avg: 30.19 / Max: 30.96Min: 28.9 / Avg: 29.85 / Max: 30.94Min: 29.41 / Avg: 29.49 / Max: 29.57Min: 29.85 / Avg: 30.21 / Max: 30.77Min: 29.58 / Avg: 30.07 / Max: 30.531. (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