Ryzen 3 2200G Oct

AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB 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 2010029-FI-RYZEN322054
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Linux 5.4
October 01 2020
  8 Hours, 44 Minutes
2
October 01 2020
  8 Hours, 34 Minutes
3
October 01 2020
  9 Hours, 14 Minutes
4
October 01 2020
  8 Hours, 38 Minutes
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Linux 5.4

Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8101016
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

2

Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

3

4

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Ryzen 3 2200G OctProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionLinux 5.4234AMD Ryzen 3 2200G @ 3.50GHz (4 Cores)ASUS PRIME B350M-E (5220 BIOS)AMD Raven/Raven26GBSamsung SSD 970 EVO 250GBASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz)AMD Raven/Raven2/FenghuangG237HLRealtek RTL8111/8168/8411Ubuntu 20.045.4.0-45-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.5modesetting 1.20.54.6 Mesa 20.0.4 (LLVM 9.0.1)1.2.128GCC 9.3.0ext41920x10805.4.0-48-generic (x86_64)OpenBenchmarking.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: 0x8101016Python Details- Python 2.7.18rc1 + Python 3.8.2Security 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

Linux 5.4234Result OverviewPhoronix Test Suite100%108%116%125%LeelaChessZeroMPVKeyDBRNNoiseLibRawLAMMPS Molecular Dynamics SimulatorTimed MAFFT AlignmentBYTE Unix BenchmarkHierarchical INTegrationWebP Image EncodeApache CouchDBFFTEZstd CompressionAOM AV1System GZIP DecompressionDolfynVkFFTNAMDdcrawTimed GDB GNU Debugger CompilationTimed HMMer SearcheSpeak-NG Speech EngineNCNNRealSR-NCNNMobile Neural NetworkMlpack BenchmarkTNNCaffe

Ryzen 3 2200G Octlczero: BLASinfluxdb: 4 - 10000 - 2,5000,1 - 10000lczero: Eigenrealsr-ncnn: 4x - Nonamd: ATPase Simulation - 327,506 Atomsncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetbuild-gdb: Time To Compilecouchdb: 100 - 1000 - 24mlpack: scikit_qdainfluxdb: 64 - 10000 - 2,5000,1 - 10000mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0compress-zstd: 19hint: FLOATvkfft: ncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenethmmer: Pfam Database Searchbyte: Dhrystone 2caffe: GoogleNet - CPU - 100mpv: Big Buck Bunny Sunflower 4K - Software Onlymlpack: scikit_linearridgeregressionkeydb: compress-zstd: 3mlpack: scikit_icaaom-av1: Speed 6 Realtimelibraw: Post-Processing Benchmarkwebp: Quality 100, Lossless, Highest Compressiondcraw: RAW To PPM Image Conversionespeak: Text-To-Speech Synthesisaom-av1: Speed 6 Two-Passcaffe: AlexNet - CPU - 100aom-av1: Speed 4 Two-Passmpv: Big Buck Bunny Sunflower 1080p - Software Onlymlpack: scikit_svmwebp: Quality 100, Losslessrnnoise: lammps: Rhodopsin Proteinaom-av1: Speed 8 Realtimedolfyn: Computational Fluid Dynamicstnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1mafft: Multiple Sequence Alignment - LSU RNAwebp: Quality 100, Highest Compressionsystem-decompress-gzip: ffte: N=256, 3D Complex FFT Routinewebp: Quality 100webp: DefaultLinux 5.4234404786957.3438340.7786.5243889.9794.9840.7441.31347.2051.792.9632.1217.549.6217.0116.1342.6362.29221.143190.00185.77793409.473.8649.5766.50155.44412.24114.7303706152.23512302762.3562.3725.7528.68109.0831.002.0314.819.225.788.579.8743.9335.33128.58036019319.3107710265.136.43285622.342414.060.9610.1720.2355.45050.91934.7322.27414051.39676.4622.3423.34822.5710.75426.9520.923291.580288.81014.5328.7473.39116224.0240665892.7651.820361385340.6766.5403890.6795.0740.8141.28346.4251.742.9232.0917.549.6517.0316.1141.6862.25220.045189.30973.6639.5546.49855.39412.20614.7306973101.38034304162.5262.6625.5928.03109.8230.872.0114.859.215.748.589.9443.9135.14128.75135676027.1108035266.58285190.192430.161.0510.1920.4255.72850.94134.7422.26413711.40677.4724.10522.3570.76326.9320.839291.667288.42314.6088.7443.38916361.8023041852.7971.820297773293.4338340.7086.5425890.2295.0640.6741.30347.0451.682.9132.1417.59.6217.0116.1341.9462.36220.567190.87485.09773292.573.7999.5886.52355.43512.28114.7304370948.43380304762.3362.9925.5928.01109.3130.732.0414.649.155.848.629.8943.9935.23128.15835792059.2108044283.486.40276848.472448.561.1810.1820.2555.50950.67534.6282.26412571.39680.1022.4223.83722.9000.77027.0020.978291.411288.50014.3408.7273.38716254.1005351132.7631.819401765195.3426340.6646.5605090.8595.1240.9641.32346.5451.752.9232.1317.489.6217.0116.1441.8662.34220.858191.38285.82782956.173.9879.5726.49555.44512.21814.7306350360.81058304662.6062.8325.8128.19109.5431.522.0414.699.125.838.699.9244.1035.85128.64736096294.0107984264.976.42276710.212423.461.0110.119.9555.54750.87334.7572.24412721.39677.3422.4423.72722.9270.76826.8520.916292.119288.49014.5648.7423.41016267.3327902572.7691.820OpenBenchmarking.org

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS234Linux 5.490180270360450SE +/- 3.92, N = 9SE +/- 4.90, N = 9SE +/- 4.91, N = 3SE +/- 6.74, N = 33612974014041. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS234Linux 5.470140210280350Min: 341 / Avg: 360.89 / Max: 371Min: 270 / Avg: 296.56 / Max: 314Min: 393 / Avg: 401.33 / Max: 410Min: 391 / Avg: 403.67 / Max: 4141. (CXX) g++ options: -flto -pthread

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: 1000034Linux 5.4200K400K600K800K1000KSE +/- 7240.48, N = 12SE +/- 9544.04, N = 12SE +/- 9009.48, N = 12773293.4765195.3786957.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000034Linux 5.4140K280K420K560K700KMin: 737286.1 / Avg: 773293.36 / Max: 807095.8Min: 738495.3 / Avg: 765195.34 / Max: 809861.2Min: 739999 / Avg: 786957.33 / Max: 810234.5

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen234Linux 5.490180270360450SE +/- 3.33, N = 3SE +/- 2.85, N = 3SE +/- 4.58, N = 3SE +/- 1.20, N = 33853384264381. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen234Linux 5.480160240320400Min: 382 / Avg: 385.33 / Max: 392Min: 335 / Avg: 338.33 / Max: 344Min: 417 / Avg: 426 / Max: 432Min: 436 / Avg: 438.33 / Max: 4401. (CXX) g++ options: -flto -pthread

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: No234Linux 5.470140210280350SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3340.68340.71340.66340.78
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No234Linux 5.460120180240300Min: 340.64 / Avg: 340.68 / Max: 340.71Min: 340.63 / Avg: 340.71 / Max: 340.84Min: 340.63 / Avg: 340.66 / Max: 340.69Min: 340.65 / Avg: 340.78 / Max: 340.97

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms234Linux 5.4246810SE +/- 0.00521, N = 3SE +/- 0.00580, N = 3SE +/- 0.00193, N = 3SE +/- 0.00892, N = 36.540386.542586.560506.52438
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms234Linux 5.43691215Min: 6.53 / Avg: 6.54 / Max: 6.55Min: 6.53 / Avg: 6.54 / Max: 6.55Min: 6.56 / Avg: 6.56 / Max: 6.56Min: 6.51 / Avg: 6.52 / Max: 6.54

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: Vulkan GPU - Model: yolov4-tiny234Linux 5.420406080100SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.38, N = 390.6790.2290.8589.97MIN: 87.25 / MAX: 95.6MIN: 87.2 / MAX: 95.93MIN: 87.36 / MAX: 95.33MIN: 86.37 / MAX: 95.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny234Linux 5.420406080100Min: 90.45 / Avg: 90.67 / Max: 91.1Min: 89.8 / Avg: 90.22 / Max: 90.43Min: 90.59 / Avg: 90.85 / Max: 91.02Min: 89.21 / Avg: 89.97 / Max: 90.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50234Linux 5.420406080100SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 395.0795.0695.1294.98MIN: 92.99 / MAX: 97.7MIN: 93.47 / MAX: 97.41MIN: 93.25 / MAX: 96.86MIN: 93.08 / MAX: 96.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50234Linux 5.420406080100Min: 95.04 / Avg: 95.07 / Max: 95.11Min: 95 / Avg: 95.06 / Max: 95.14Min: 95.1 / Avg: 95.12 / Max: 95.13Min: 94.93 / Avg: 94.98 / Max: 95.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet234Linux 5.4918273645SE +/- 0.29, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.26, N = 340.8140.6740.9640.74MIN: 34.08 / MAX: 53.99MIN: 34.17 / MAX: 53.49MIN: 34.27 / MAX: 53.46MIN: 34.04 / MAX: 53.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet234Linux 5.4918273645Min: 40.49 / Avg: 40.81 / Max: 41.39Min: 40.44 / Avg: 40.67 / Max: 40.97Min: 40.61 / Avg: 40.96 / Max: 41.35Min: 40.23 / Avg: 40.74 / Max: 41.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18234Linux 5.4918273645SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 341.2841.3041.3241.31MIN: 40.22 / MAX: 43.6MIN: 40.15 / MAX: 43.27MIN: 40.2 / MAX: 43.57MIN: 40.11 / MAX: 43.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18234Linux 5.4918273645Min: 41.25 / Avg: 41.28 / Max: 41.33Min: 41.26 / Avg: 41.3 / Max: 41.33Min: 41.19 / Avg: 41.32 / Max: 41.39Min: 41.28 / Avg: 41.31 / Max: 41.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16234Linux 5.480160240320400SE +/- 0.40, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.38, N = 3346.42347.04346.54347.20MIN: 328.45 / MAX: 377.97MIN: 328.15 / MAX: 377.61MIN: 329.3 / MAX: 378.3MIN: 327.56 / MAX: 378.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16234Linux 5.460120180240300Min: 345.99 / Avg: 346.42 / Max: 347.21Min: 346.96 / Avg: 347.04 / Max: 347.12Min: 346.36 / Avg: 346.54 / Max: 346.78Min: 346.58 / Avg: 347.2 / Max: 347.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet234Linux 5.41224364860SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 351.7451.6851.7551.79MIN: 50.82 / MAX: 52.73MIN: 50.8 / MAX: 52.72MIN: 50.77 / MAX: 52.84MIN: 50.88 / MAX: 52.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet234Linux 5.41020304050Min: 51.68 / Avg: 51.74 / Max: 51.81Min: 51.66 / Avg: 51.68 / Max: 51.69Min: 51.7 / Avg: 51.75 / Max: 51.8Min: 51.75 / Avg: 51.79 / Max: 51.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface234Linux 5.40.6661.3321.9982.6643.33SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 32.922.912.922.96MIN: 2.75 / MAX: 3.79MIN: 2.75 / MAX: 3.73MIN: 2.77 / MAX: 3.44MIN: 2.76 / MAX: 4.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface234Linux 5.4246810Min: 2.91 / Avg: 2.92 / Max: 2.93Min: 2.9 / Avg: 2.91 / Max: 2.91Min: 2.9 / Avg: 2.92 / Max: 2.93Min: 2.91 / Avg: 2.96 / Max: 3.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0234Linux 5.4714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 332.0932.1432.1332.12MIN: 31.58 / MAX: 33.23MIN: 31.56 / MAX: 32.98MIN: 31.62 / MAX: 32.91MIN: 31.5 / MAX: 32.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0234Linux 5.4714212835Min: 32.06 / Avg: 32.09 / Max: 32.12Min: 32.11 / Avg: 32.14 / Max: 32.19Min: 32.04 / Avg: 32.13 / Max: 32.19Min: 32.08 / Avg: 32.12 / Max: 32.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet234Linux 5.448121620SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 317.5417.5017.4817.54MIN: 17 / MAX: 18.31MIN: 17.07 / MAX: 18.23MIN: 17.06 / MAX: 18.32MIN: 17.1 / MAX: 18.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet234Linux 5.448121620Min: 17.47 / Avg: 17.54 / Max: 17.58Min: 17.5 / Avg: 17.5 / Max: 17.5Min: 17.47 / Avg: 17.48 / Max: 17.49Min: 17.51 / Avg: 17.54 / Max: 17.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2234Linux 5.43691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 39.659.629.629.62MIN: 9.25 / MAX: 10.28MIN: 9.23 / MAX: 10.36MIN: 9.19 / MAX: 10.38MIN: 9.16 / MAX: 10.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2234Linux 5.43691215Min: 9.58 / Avg: 9.65 / Max: 9.68Min: 9.6 / Avg: 9.62 / Max: 9.64Min: 9.58 / Avg: 9.62 / Max: 9.65Min: 9.56 / Avg: 9.62 / Max: 9.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3234Linux 5.448121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 317.0317.0117.0117.01MIN: 16.59 / MAX: 17.85MIN: 16.6 / MAX: 17.77MIN: 16.63 / MAX: 17.83MIN: 16.56 / MAX: 17.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3234Linux 5.448121620Min: 16.97 / Avg: 17.03 / Max: 17.08Min: 17 / Avg: 17.01 / Max: 17.01Min: 16.99 / Avg: 17.01 / Max: 17.05Min: 16.96 / Avg: 17.01 / Max: 17.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2234Linux 5.448121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 316.1116.1316.1416.13MIN: 15.7 / MAX: 17.14MIN: 15.67 / MAX: 16.78MIN: 15.65 / MAX: 16.98MIN: 15.69 / MAX: 16.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2234Linux 5.448121620Min: 16.07 / Avg: 16.11 / Max: 16.17Min: 16.09 / Avg: 16.13 / Max: 16.17Min: 16.06 / Avg: 16.14 / Max: 16.18Min: 16.12 / Avg: 16.13 / Max: 16.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet234Linux 5.41020304050SE +/- 0.08, N = 3SE +/- 0.47, N = 3SE +/- 0.12, N = 3SE +/- 0.54, N = 341.6841.9441.8642.63MIN: 39.08 / MAX: 44.75MIN: 39.16 / MAX: 45.32MIN: 39.04 / MAX: 46.2MIN: 39.31 / MAX: 45.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet234Linux 5.4918273645Min: 41.59 / Avg: 41.68 / Max: 41.84Min: 41.34 / Avg: 41.94 / Max: 42.87Min: 41.69 / Avg: 41.86 / Max: 42.1Min: 41.55 / Avg: 42.63 / Max: 43.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet234Linux 5.41428425670SE +/- 0.11, N = 3SE +/- 0.36, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 362.2562.3662.3462.29MIN: 59.82 / MAX: 65.31MIN: 58.92 / MAX: 65.07MIN: 59.37 / MAX: 65.14MIN: 59.72 / MAX: 64.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet234Linux 5.41224364860Min: 62.13 / Avg: 62.25 / Max: 62.46Min: 61.68 / Avg: 62.36 / Max: 62.92Min: 62.21 / Avg: 62.34 / Max: 62.52Min: 61.85 / Avg: 62.29 / Max: 62.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To Compile234Linux 5.450100150200250SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3220.05220.57220.86221.14
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To Compile234Linux 5.44080120160200Min: 219.74 / Avg: 220.04 / Max: 220.34Min: 220.1 / Avg: 220.57 / Max: 221.04Min: 220.48 / Avg: 220.86 / Max: 221.4Min: 220.37 / Avg: 221.14 / Max: 221.54

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24234Linux 5.44080120160200SE +/- 1.03, N = 3SE +/- 1.97, N = 3SE +/- 1.63, N = 3SE +/- 1.76, N = 3189.31190.87191.38190.001. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24234Linux 5.44080120160200Min: 187.35 / Avg: 189.31 / Max: 190.83Min: 187.16 / Avg: 190.87 / Max: 193.86Min: 188.23 / Avg: 191.38 / Max: 193.69Min: 186.48 / Avg: 190 / Max: 191.941. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda34Linux 5.420406080100SE +/- 0.43, N = 3SE +/- 0.21, N = 3SE +/- 0.00, N = 285.0985.8285.77
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda34Linux 5.41632486480Min: 84.55 / Avg: 85.09 / Max: 85.94Min: 85.4 / Avg: 85.82 / Max: 86.04Min: 85.77 / Avg: 85.77 / Max: 85.77

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: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000034Linux 5.4200K400K600K800K1000KSE +/- 7009.04, N = 3SE +/- 9916.96, N = 5SE +/- 11398.72, N = 4773292.5782956.1793409.4
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000034Linux 5.4140K280K420K560K700KMin: 761372.3 / Avg: 773292.53 / Max: 785641Min: 747201 / Avg: 782956.12 / Max: 799532Min: 760165.4 / Avg: 793409.4 / Max: 811823.3

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 2020-09-17Model: inception-v3234Linux 5.41632486480SE +/- 0.35, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.29, N = 373.6673.8073.9973.86MIN: 72.87 / MAX: 97.35MIN: 73.14 / MAX: 88.1MIN: 73.27 / MAX: 86.03MIN: 73.07 / MAX: 85.951. (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 2020-09-17Model: inception-v3234Linux 5.41428425670Min: 73.17 / Avg: 73.66 / Max: 74.33Min: 73.68 / Avg: 73.8 / Max: 73.94Min: 73.63 / Avg: 73.99 / Max: 74.25Min: 73.42 / Avg: 73.86 / Max: 74.421. (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 2020-09-17Model: mobilenet-v1-1.0234Linux 5.43691215SE +/- 0.013, N = 3SE +/- 0.011, N = 3SE +/- 0.017, N = 3SE +/- 0.026, N = 39.5549.5889.5729.576MIN: 9.42 / MAX: 11.28MIN: 9.49 / MAX: 16.2MIN: 9.44 / MAX: 11.42MIN: 9.45 / MAX: 21.341. (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 2020-09-17Model: mobilenet-v1-1.0234Linux 5.43691215Min: 9.53 / Avg: 9.55 / Max: 9.57Min: 9.57 / Avg: 9.59 / Max: 9.61Min: 9.54 / Avg: 9.57 / Max: 9.59Min: 9.53 / Avg: 9.58 / Max: 9.611. (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 2020-09-17Model: MobileNetV2_224234Linux 5.4246810SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 36.4986.5236.4956.501MIN: 6.44 / MAX: 8.03MIN: 6.46 / MAX: 9.12MIN: 6.45 / MAX: 9.26MIN: 6.45 / MAX: 7.341. (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 2020-09-17Model: MobileNetV2_224234Linux 5.43691215Min: 6.49 / Avg: 6.5 / Max: 6.51Min: 6.51 / Avg: 6.52 / Max: 6.53Min: 6.49 / Avg: 6.5 / Max: 6.5Min: 6.49 / Avg: 6.5 / Max: 6.521. (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 2020-09-17Model: resnet-v2-50234Linux 5.41224364860SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 355.3955.4455.4555.44MIN: 55.01 / MAX: 106.24MIN: 55.1 / MAX: 67.76MIN: 55.14 / MAX: 67.54MIN: 55.1 / MAX: 67.331. (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 2020-09-17Model: resnet-v2-50234Linux 5.41122334455Min: 55.29 / Avg: 55.39 / Max: 55.48Min: 55.32 / Avg: 55.43 / Max: 55.56Min: 55.42 / Avg: 55.45 / Max: 55.5Min: 55.4 / Avg: 55.44 / Max: 55.511. (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 2020-09-17Model: SqueezeNetV1.0234Linux 5.43691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.2112.2812.2212.24MIN: 12.11 / MAX: 19.57MIN: 12.13 / MAX: 24.69MIN: 12.11 / MAX: 24.49MIN: 12.11 / MAX: 13.221. (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 2020-09-17Model: SqueezeNetV1.0234Linux 5.448121620Min: 12.17 / Avg: 12.21 / Max: 12.23Min: 12.23 / Avg: 12.28 / Max: 12.31Min: 12.21 / Avg: 12.22 / Max: 12.23Min: 12.22 / Avg: 12.24 / Max: 12.271. (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

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19234Linux 5.448121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 314.714.714.714.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19234Linux 5.448121620Min: 14.7 / Avg: 14.7 / Max: 14.7Min: 14.7 / Avg: 14.7 / Max: 14.7Min: 14.7 / Avg: 14.7 / Max: 14.7Min: 14.7 / Avg: 14.7 / Max: 14.71. (CC) gcc options: -O3 -pthread -lz -llzma

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT234Linux 5.470M140M210M280M350MSE +/- 958466.23, N = 3SE +/- 1775532.36, N = 3SE +/- 178984.31, N = 3SE +/- 2152014.41, N = 3306973101.38304370948.43306350360.81303706152.241. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT234Linux 5.450M100M150M200M250MMin: 305926115.12 / Avg: 306973101.38 / Max: 308887219.32Min: 300858819.84 / Avg: 304370948.43 / Max: 306581171.32Min: 306027970.21 / Avg: 306350360.81 / Max: 306646294.28Min: 299402128.74 / Avg: 303706152.24 / Max: 305864031.981. (CC) gcc options: -O3 -march=native -lm

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29234Linux 5.47001400210028003500SE +/- 1.33, N = 3SE +/- 0.67, N = 3SE +/- 10.11, N = 33041304730463027
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29234Linux 5.45001000150020002500Min: 3038 / Avg: 3040.67 / Max: 3042Min: 3046 / Avg: 3047.33 / Max: 3048Min: 3010 / Avg: 3027.33 / Max: 3045

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: yolov4-tiny234Linux 5.41428425670SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 362.5262.3362.6062.35MIN: 57.05 / MAX: 66.12MIN: 58.97 / MAX: 73.33MIN: 57.9 / MAX: 88.49MIN: 59.09 / MAX: 66.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny234Linux 5.41224364860Min: 62.39 / Avg: 62.52 / Max: 62.7Min: 62.21 / Avg: 62.33 / Max: 62.43Min: 62.56 / Avg: 62.6 / Max: 62.67Min: 62.03 / Avg: 62.35 / Max: 62.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50234Linux 5.41428425670SE +/- 0.66, N = 3SE +/- 0.76, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 362.6662.9962.8362.37MIN: 60.51 / MAX: 70.33MIN: 60.88 / MAX: 82.83MIN: 61.27 / MAX: 70.91MIN: 61.31 / MAX: 69.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50234Linux 5.41224364860Min: 61.35 / Avg: 62.66 / Max: 63.41Min: 61.98 / Avg: 62.99 / Max: 64.47Min: 62.44 / Avg: 62.83 / Max: 63.52Min: 62.26 / Avg: 62.37 / Max: 62.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet234Linux 5.4612182430SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 325.5925.5925.8125.75MIN: 24.99 / MAX: 27.9MIN: 24.89 / MAX: 28.19MIN: 25.09 / MAX: 37.34MIN: 25.2 / MAX: 29.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet234Linux 5.4612182430Min: 25.47 / Avg: 25.59 / Max: 25.7Min: 25.57 / Avg: 25.59 / Max: 25.61Min: 25.66 / Avg: 25.81 / Max: 25.93Min: 25.71 / Avg: 25.75 / Max: 25.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18234Linux 5.4714212835SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.65, N = 328.0328.0128.1928.68MIN: 27.39 / MAX: 43.04MIN: 27.44 / MAX: 31.26MIN: 27.47 / MAX: 31.73MIN: 27.48 / MAX: 421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18234Linux 5.4612182430Min: 27.78 / Avg: 28.03 / Max: 28.26Min: 27.75 / Avg: 28.01 / Max: 28.2Min: 27.88 / Avg: 28.19 / Max: 28.46Min: 27.86 / Avg: 28.68 / Max: 29.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16234Linux 5.420406080100SE +/- 0.14, N = 3SE +/- 0.44, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3109.82109.31109.54109.08MIN: 107.59 / MAX: 122.1MIN: 106.9 / MAX: 125.2MIN: 107.29 / MAX: 117.33MIN: 107.27 / MAX: 122.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16234Linux 5.420406080100Min: 109.62 / Avg: 109.82 / Max: 110.08Min: 108.49 / Avg: 109.31 / Max: 109.98Min: 109.21 / Avg: 109.54 / Max: 109.89Min: 108.66 / Avg: 109.08 / Max: 109.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet234Linux 5.4714212835SE +/- 0.26, N = 3SE +/- 0.23, N = 3SE +/- 0.26, N = 3SE +/- 0.21, N = 330.8730.7331.5231.00MIN: 29.93 / MAX: 35.29MIN: 30.02 / MAX: 35.54MIN: 30.03 / MAX: 37.28MIN: 30.04 / MAX: 34.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet234Linux 5.4714212835Min: 30.45 / Avg: 30.87 / Max: 31.34Min: 30.34 / Avg: 30.73 / Max: 31.15Min: 31.24 / Avg: 31.52 / Max: 32.03Min: 30.58 / Avg: 31 / Max: 31.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface234Linux 5.40.4590.9181.3771.8362.295SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.012.042.042.03MIN: 1.92 / MAX: 2.28MIN: 1.93 / MAX: 2.36MIN: 1.94 / MAX: 2.17MIN: 1.94 / MAX: 2.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface234Linux 5.4246810Min: 2.01 / Avg: 2.01 / Max: 2.01Min: 2.03 / Avg: 2.04 / Max: 2.06Min: 2.03 / Avg: 2.04 / Max: 2.05Min: 2.02 / Avg: 2.03 / Max: 2.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0234Linux 5.448121620SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 314.8514.6414.6914.81MIN: 13.7 / MAX: 18.32MIN: 13.68 / MAX: 16.13MIN: 13.68 / MAX: 16.11MIN: 13.71 / MAX: 17.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0234Linux 5.448121620Min: 14.71 / Avg: 14.85 / Max: 14.98Min: 14.26 / Avg: 14.64 / Max: 14.9Min: 14.52 / Avg: 14.69 / Max: 14.83Min: 14.78 / Avg: 14.81 / Max: 14.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet234Linux 5.43691215SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 39.219.159.129.22MIN: 8.44 / MAX: 10.32MIN: 8.47 / MAX: 9.94MIN: 8.48 / MAX: 10.15MIN: 8.5 / MAX: 10.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet234Linux 5.43691215Min: 9.07 / Avg: 9.21 / Max: 9.31Min: 9.05 / Avg: 9.15 / Max: 9.26Min: 9.07 / Avg: 9.12 / Max: 9.19Min: 9.14 / Avg: 9.22 / Max: 9.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2234Linux 5.41.3142.6283.9425.2566.57SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 35.745.845.835.78MIN: 5.21 / MAX: 6.02MIN: 5.23 / MAX: 6.58MIN: 5.23 / MAX: 6.03MIN: 5.24 / MAX: 6.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2234Linux 5.4246810Min: 5.72 / Avg: 5.74 / Max: 5.76Min: 5.8 / Avg: 5.84 / Max: 5.86Min: 5.8 / Avg: 5.83 / Max: 5.85Min: 5.72 / Avg: 5.78 / Max: 5.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3234Linux 5.4246810SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 38.588.628.698.57MIN: 7.85 / MAX: 10.59MIN: 7.86 / MAX: 10.22MIN: 7.86 / MAX: 11.35MIN: 7.88 / MAX: 13.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3234Linux 5.43691215Min: 8.45 / Avg: 8.58 / Max: 8.73Min: 8.57 / Avg: 8.62 / Max: 8.69Min: 8.67 / Avg: 8.69 / Max: 8.72Min: 8.47 / Avg: 8.57 / Max: 8.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2234Linux 5.43691215SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 39.949.899.929.87MIN: 8.91 / MAX: 20.36MIN: 8.97 / MAX: 11.97MIN: 8.98 / MAX: 20.55MIN: 8.95 / MAX: 12.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2234Linux 5.43691215Min: 9.85 / Avg: 9.94 / Max: 10.08Min: 9.85 / Avg: 9.89 / Max: 9.93Min: 9.86 / Avg: 9.92 / Max: 10.02Min: 9.79 / Avg: 9.87 / Max: 9.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet234Linux 5.41020304050SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 343.9143.9944.1043.93MIN: 42 / MAX: 46.77MIN: 42.14 / MAX: 45.69MIN: 42.13 / MAX: 55.35MIN: 41.99 / MAX: 47.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet234Linux 5.4918273645Min: 43.72 / Avg: 43.91 / Max: 44.09Min: 43.96 / Avg: 43.99 / Max: 44.04Min: 44.01 / Avg: 44.1 / Max: 44.27Min: 43.63 / Avg: 43.93 / Max: 44.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet234Linux 5.4816243240SE +/- 0.25, N = 3SE +/- 0.17, N = 3SE +/- 0.36, N = 3SE +/- 0.25, N = 335.1435.2335.8535.33MIN: 32.24 / MAX: 47.09MIN: 32.61 / MAX: 38.51MIN: 32.64 / MAX: 43.33MIN: 33.03 / MAX: 37.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet234Linux 5.4816243240Min: 34.66 / Avg: 35.14 / Max: 35.49Min: 34.89 / Avg: 35.23 / Max: 35.41Min: 35.16 / Avg: 35.85 / Max: 36.38Min: 34.94 / Avg: 35.33 / Max: 35.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search234Linux 5.4306090120150SE +/- 0.54, N = 3SE +/- 0.31, N = 3SE +/- 0.13, N = 3SE +/- 0.24, N = 3128.75128.16128.65128.581. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search234Linux 5.420406080100Min: 127.97 / Avg: 128.75 / Max: 129.78Min: 127.57 / Avg: 128.16 / Max: 128.62Min: 128.44 / Avg: 128.65 / Max: 128.88Min: 128.1 / Avg: 128.58 / Max: 128.851. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2234Linux 5.48M16M24M32M40MSE +/- 146283.90, N = 3SE +/- 400142.57, N = 3SE +/- 48013.38, N = 3SE +/- 93709.00, N = 335676027.135792059.236096294.036019319.3
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2234Linux 5.46M12M18M24M30MMin: 35383657.2 / Avg: 35676027.07 / Max: 35831530.4Min: 34991819.2 / Avg: 35792059.17 / Max: 36199542.7Min: 36007738.1 / Avg: 36096294 / Max: 36172731.6Min: 35845070.7 / Avg: 36019319.3 / Max: 36166211.5

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100234Linux 5.420K40K60K80K100KSE +/- 67.16, N = 3SE +/- 343.88, N = 3SE +/- 260.33, N = 3SE +/- 279.29, N = 31080351080441079841077101. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100234Linux 5.420K40K60K80K100KMin: 107909 / Avg: 108035.33 / Max: 108138Min: 107382 / Avg: 108043.67 / Max: 108537Min: 107723 / Avg: 107984.33 / Max: 108505Min: 107282 / Avg: 107710.33 / Max: 1082351. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 Only234Linux 5.460120180240300SE +/- 2.67, N = 8SE +/- 1.06, N = 3SE +/- 2.18, N = 3SE +/- 2.45, N = 3266.58283.48264.97265.13MIN: 179.09 / MAX: 387.07MIN: 190.36 / MAX: 387.21MIN: 181.77 / MAX: 363.73MIN: 176.52 / MAX: 363.751. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only234Linux 5.450100150200250Min: 262.4 / Avg: 266.58 / Max: 285.13Min: 282.13 / Avg: 283.48 / Max: 285.57Min: 262.01 / Avg: 264.97 / Max: 269.23Min: 260.96 / Avg: 265.13 / Max: 269.451. mpv 0.32.0

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression34Linux 5.4246810SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.406.426.43
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression34Linux 5.43691215Min: 6.35 / Avg: 6.4 / Max: 6.44Min: 6.38 / Avg: 6.42 / Max: 6.46Min: 6.41 / Avg: 6.43 / Max: 6.45

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16234Linux 5.460K120K180K240K300KSE +/- 3502.27, N = 5SE +/- 3748.57, N = 3SE +/- 2716.69, N = 3SE +/- 4260.65, N = 3285190.19276848.47276710.21285622.341. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16234Linux 5.450K100K150K200K250KMin: 272551.16 / Avg: 285190.19 / Max: 292076.82Min: 272202.25 / Avg: 276848.47 / Max: 284267.14Min: 273627.94 / Avg: 276710.21 / Max: 282126.39Min: 279089.76 / Avg: 285622.34 / Max: 293627.141. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3234Linux 5.45001000150020002500SE +/- 12.30, N = 3SE +/- 17.00, N = 3SE +/- 11.18, N = 3SE +/- 14.64, N = 32430.12448.52423.42414.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3234Linux 5.4400800120016002000Min: 2405.9 / Avg: 2430.07 / Max: 2446.1Min: 2420.8 / Avg: 2448.47 / Max: 2479.4Min: 2408.3 / Avg: 2423.37 / Max: 2445.2Min: 2396.1 / Avg: 2413.97 / Max: 24431. (CC) gcc options: -O3 -pthread -lz -llzma

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica234Linux 5.41428425670SE +/- 0.64, N = 3SE +/- 0.39, N = 3SE +/- 0.72, N = 3SE +/- 0.51, N = 361.0561.1861.0160.96
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica234Linux 5.41224364860Min: 59.78 / Avg: 61.05 / Max: 61.83Min: 60.4 / Avg: 61.18 / Max: 61.6Min: 59.58 / Avg: 61.01 / Max: 61.9Min: 59.94 / Avg: 60.96 / Max: 61.59

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime234Linux 5.43691215SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 310.1910.1810.1010.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime234Linux 5.43691215Min: 10.06 / Avg: 10.19 / Max: 10.42Min: 10.09 / Avg: 10.18 / Max: 10.32Min: 10.1 / Avg: 10.13 / Max: 10.2Min: 10.06 / Avg: 10.17 / Max: 10.351. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark234Linux 5.4510152025SE +/- 0.17, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 320.4220.2519.9520.231. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark234Linux 5.4510152025Min: 20.2 / Avg: 20.42 / Max: 20.75Min: 19.9 / Avg: 20.25 / Max: 20.65Min: 19.81 / Avg: 19.95 / Max: 20.17Min: 19.98 / Avg: 20.23 / Max: 20.411. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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: Quality 100, Lossless, Highest Compression234Linux 5.41326395265SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 355.7355.5155.5555.451. (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 Compression234Linux 5.41122334455Min: 55.56 / Avg: 55.73 / Max: 56.06Min: 55.2 / Avg: 55.51 / Max: 55.7Min: 55.34 / Avg: 55.55 / Max: 55.77Min: 55.35 / Avg: 55.45 / Max: 55.531. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 Conversion234Linux 5.41122334455SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 350.9450.6850.8750.921. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion234Linux 5.41020304050Min: 50.84 / Avg: 50.94 / Max: 51.05Min: 50.6 / Avg: 50.68 / Max: 50.74Min: 50.81 / Avg: 50.87 / Max: 50.96Min: 50.82 / Avg: 50.92 / Max: 50.981. (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 Synthesis234Linux 5.4816243240SE +/- 0.09, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.11, N = 434.7434.6334.7634.731. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis234Linux 5.4714212835Min: 34.62 / Avg: 34.74 / Max: 34.99Min: 34.55 / Avg: 34.63 / Max: 34.7Min: 34.64 / Avg: 34.76 / Max: 34.82Min: 34.49 / Avg: 34.73 / Max: 351. (CC) gcc options: -O2 -std=c99

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass234Linux 5.40.51081.02161.53242.04322.554SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.262.262.242.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass234Linux 5.4246810Min: 2.25 / Avg: 2.26 / Max: 2.27Min: 2.26 / Avg: 2.26 / Max: 2.27Min: 2.22 / Avg: 2.24 / Max: 2.26Min: 2.27 / Avg: 2.27 / Max: 2.281. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100234Linux 5.49K18K27K36K45KSE +/- 32.54, N = 3SE +/- 110.34, N = 3SE +/- 189.67, N = 3SE +/- 127.82, N = 3413714125741272414051. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100234Linux 5.47K14K21K28K35KMin: 41311 / Avg: 41370.67 / Max: 41423Min: 41037 / Avg: 41257 / Max: 41382Min: 40919 / Avg: 41271.67 / Max: 41569Min: 41192 / Avg: 41405.33 / Max: 416341. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass234Linux 5.40.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.401.391.391.391. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass234Linux 5.4246810Min: 1.39 / Avg: 1.4 / Max: 1.4Min: 1.39 / Avg: 1.39 / Max: 1.39Min: 1.38 / Avg: 1.39 / Max: 1.39Min: 1.39 / Avg: 1.39 / Max: 1.41. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 1080p - Decode: Software Only234Linux 5.4150300450600750SE +/- 1.22, N = 3SE +/- 1.96, N = 3SE +/- 2.69, N = 3SE +/- 1.50, N = 3677.47680.10677.34676.46MIN: 461.28 / MAX: 923.34MIN: 461.69 / MAX: 922.69MIN: 479.6 / MAX: 923.36MIN: 499.55 / MAX: 923.321. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only234Linux 5.4120240360480600Min: 675.33 / Avg: 677.47 / Max: 679.55Min: 676.18 / Avg: 680.1 / Max: 682.13Min: 673.53 / Avg: 677.34 / Max: 682.55Min: 674.11 / Avg: 676.46 / Max: 679.251. mpv 0.32.0

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm34Linux 5.4510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 322.4222.4422.34
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm34Linux 5.4510152025Min: 22.41 / Avg: 22.42 / Max: 22.45Min: 22.39 / Avg: 22.44 / Max: 22.47Min: 22.32 / Avg: 22.34 / Max: 22.36

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: Quality 100, Lossless234Linux 5.4612182430SE +/- 0.05, N = 3SE +/- 0.34, N = 4SE +/- 0.30, N = 3SE +/- 0.36, N = 324.1123.8423.7323.351. (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, Lossless234Linux 5.4612182430Min: 24.04 / Avg: 24.11 / Max: 24.2Min: 22.84 / Avg: 23.84 / Max: 24.24Min: 23.13 / Avg: 23.73 / Max: 24.1Min: 22.88 / Avg: 23.35 / Max: 24.061. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28234Linux 5.4510152025SE +/- 0.04, N = 3SE +/- 0.34, N = 4SE +/- 0.13, N = 3SE +/- 0.24, N = 322.3622.9022.9322.571. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28234Linux 5.4510152025Min: 22.27 / Avg: 22.36 / Max: 22.41Min: 22.3 / Avg: 22.9 / Max: 23.77Min: 22.68 / Avg: 22.93 / Max: 23.14Min: 22.29 / Avg: 22.57 / Max: 23.041. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 24Aug2020Model: Rhodopsin Protein234Linux 5.40.17330.34660.51990.69320.8665SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 30.7630.7700.7680.7541. (CXX) g++ options: -O3 -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein234Linux 5.4246810Min: 0.76 / Avg: 0.76 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.76 / Avg: 0.77 / Max: 0.77Min: 0.75 / Avg: 0.75 / Max: 0.761. (CXX) g++ options: -O3 -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime234Linux 5.4612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 326.9327.0026.8526.951. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime234Linux 5.4612182430Min: 26.86 / Avg: 26.93 / Max: 26.96Min: 26.96 / Avg: 27 / Max: 27.07Min: 26.76 / Avg: 26.85 / Max: 26.93Min: 26.92 / Avg: 26.95 / Max: 26.981. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics234Linux 5.4510152025SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 320.8420.9820.9220.92
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics234Linux 5.4510152025Min: 20.81 / Avg: 20.84 / Max: 20.89Min: 20.82 / Avg: 20.98 / Max: 21.19Min: 20.85 / Avg: 20.92 / Max: 20.99Min: 20.8 / Avg: 20.92 / Max: 21.01

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 v2234Linux 5.460120180240300SE +/- 0.29, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 3291.67291.41292.12291.58MIN: 290.34 / MAX: 300.21MIN: 290.58 / MAX: 299.43MIN: 291.06 / MAX: 300.06MIN: 290.45 / MAX: 299.851. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2234Linux 5.450100150200250Min: 291.17 / Avg: 291.67 / Max: 292.19Min: 291.24 / Avg: 291.41 / Max: 291.64Min: 291.76 / Avg: 292.12 / Max: 292.39Min: 291.29 / Avg: 291.58 / Max: 291.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1234Linux 5.460120180240300SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3288.42288.50288.49288.81MIN: 287.9 / MAX: 288.99MIN: 288.13 / MAX: 288.88MIN: 287.92 / MAX: 289.43MIN: 288.01 / MAX: 289.571. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1234Linux 5.450100150200250Min: 288.2 / Avg: 288.42 / Max: 288.55Min: 288.46 / Avg: 288.5 / Max: 288.55Min: 288.37 / Avg: 288.49 / Max: 288.62Min: 288.41 / Avg: 288.81 / Max: 289.181. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA234Linux 5.448121620SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 314.6114.3414.5614.531. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA234Linux 5.448121620Min: 14.32 / Avg: 14.61 / Max: 14.89Min: 14.29 / Avg: 14.34 / Max: 14.43Min: 14.38 / Avg: 14.56 / Max: 14.8Min: 14.36 / Avg: 14.53 / Max: 14.621. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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: Quality 100, Highest Compression234Linux 5.4246810SE +/- 0.010, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.001, N = 38.7448.7278.7428.7471. (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 Compression234Linux 5.43691215Min: 8.73 / Avg: 8.74 / Max: 8.76Min: 8.72 / Avg: 8.73 / Max: 8.73Min: 8.73 / Avg: 8.74 / Max: 8.76Min: 8.75 / Avg: 8.75 / Max: 8.751. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP Decompression234Linux 5.40.76731.53462.30193.06923.8365SE +/- 0.023, N = 3SE +/- 0.037, N = 3SE +/- 0.050, N = 3SE +/- 0.021, N = 33.3893.3873.4103.391
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP Decompression234Linux 5.4246810Min: 3.37 / Avg: 3.39 / Max: 3.44Min: 3.34 / Avg: 3.39 / Max: 3.46Min: 3.35 / Avg: 3.41 / Max: 3.51Min: 3.36 / Avg: 3.39 / Max: 3.43

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine234Linux 5.44K8K12K16K20KSE +/- 250.01, N = 3SE +/- 130.68, N = 3SE +/- 100.42, N = 3SE +/- 38.82, N = 316361.8016254.1016267.3316224.021. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine234Linux 5.43K6K9K12K15KMin: 16065.45 / Avg: 16361.8 / Max: 16858.77Min: 16035.96 / Avg: 16254.1 / Max: 16487.84Min: 16067.59 / Avg: 16267.33 / Max: 16385.3Min: 16148.43 / Avg: 16224.02 / Max: 16277.181. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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: Quality 100234Linux 5.40.62931.25861.88792.51723.1465SE +/- 0.028, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 32.7972.7632.7692.7651. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100234Linux 5.4246810Min: 2.77 / Avg: 2.8 / Max: 2.85Min: 2.76 / Avg: 2.76 / Max: 2.77Min: 2.76 / Avg: 2.77 / Max: 2.78Min: 2.76 / Avg: 2.77 / Max: 2.771. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default234Linux 5.40.40950.8191.22851.6382.0475SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.8201.8191.8201.8201. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default234Linux 5.4246810Min: 1.82 / Avg: 1.82 / Max: 1.82Min: 1.82 / Avg: 1.82 / Max: 1.82Min: 1.82 / Avg: 1.82 / Max: 1.82Min: 1.82 / Avg: 1.82 / Max: 1.821. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Linux 5.4

Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8101016
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 1 October 2020 06:14 by user phoronix.

2

Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.4.0-45-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8101016
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 1 October 2020 10:52 by user phoronix.

3

Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8101016
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 1 October 2020 16:08 by user phoronix.

4

Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8101016
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 1 October 2020 21:28 by user phoronix.