Kubuntu Focus Extra Tests

Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and NVIDIA GeForce RTX 2060 6GB on Ubuntu 18.04 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 2001157-HU-KUBUNTUFO51
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Kubuntu Focus
January 13 2020
  2 Hours, 21 Minutes
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Kubuntu Focus Extra TestsOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads)Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS)Intel Cannon Lake PCH32GB1000GB Samsung SSD 970 EVO Plus 1TBNVIDIA GeForce RTX 2060 6GB (960/7000MHz)Realtek ALC1220Realtek RTL8111/8168/8411 + Intel-AC 9560Ubuntu 18.045.0.0-37-generic (x86_64)KDE Plasma 5.12.9X Server 1.19.6NVIDIA 440.444.6.0GCC 7.4.0 + CUDA 9.1ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionKubuntu Focus Extra Tests PerformanceSystem Logs- --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++ --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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xca- GPU Compute Cores: 1920- Python 2.7.17 + Python 3.6.9- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Kubuntu Focus Extra Testsscikit-learn: mlpack: scikit_svmpyperformance: pickle_pure_pythonpyperformance: django_templatepyperformance: python_startuppyperformance: regex_compilepyperformance: crypto_pyaespyperformance: json_loadspyperformance: raytracepyperformance: pathlibpyperformance: nbodypyperformance: floatpyperformance: chaospyperformance: 2to3pyperformance: gogegl: Rotate 90 Degreesgegl: Color Enhancegegl: Wavelet Blurgegl: Tile Glassgegl: Antialiasgegl: Reflectgegl: Cartoongegl: Scalegegl: Cropaircrack-ng: numpy: deepspeech: CPUrays1bench: Large Scenevpxenc: Speed 5vpxenc: Speed 0svt-av1: Enc Mode 8 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 0 - 1080prav1e: 9rav1e: 6rav1e: 5rav1e: 1lammps: Rhodopsin Proteinlczero: Randlczero: BLAShpcg: lczero: OpenCLKubuntu Focus13.03715.9945364.09.2217499.124.546919.111210210530923440.07257.06161.41229.12138.48130.35490.2055.5828.01220028.673189.07973.8726626.4622.545.9215.8071.8400.0971.2931.0300.6510.1644.4683069931046.043.9168811716.12OpenBenchmarking.org

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Kubuntu Focus3691215SE +/- 0.03, N = 313.04

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmKubuntu Focus48121620SE +/- 0.01, N = 315.99

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonKubuntu Focus100200300400500SE +/- 0.88, N = 3453

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateKubuntu Focus1428425670SE +/- 0.12, N = 364.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupKubuntu Focus3691215SE +/- 0.01, N = 39.22

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileKubuntu Focus4080120160200174

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesKubuntu Focus20406080100SE +/- 0.06, N = 399.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsKubuntu Focus612182430SE +/- 0.03, N = 324.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceKubuntu Focus100200300400500SE +/- 0.67, N = 3469

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibKubuntu Focus510152025SE +/- 0.03, N = 319.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyKubuntu Focus306090120150112

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatKubuntu Focus20406080100102

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosKubuntu Focus20406080100105

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Kubuntu Focus70140210280350309

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goKubuntu Focus50100150200250SE +/- 0.58, N = 3234

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesKubuntu Focus918273645SE +/- 0.02, N = 340.07

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceKubuntu Focus1326395265SE +/- 0.03, N = 357.06

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurKubuntu Focus1428425670SE +/- 0.12, N = 361.41

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassKubuntu Focus714212835SE +/- 0.01, N = 329.12

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasKubuntu Focus918273645SE +/- 0.07, N = 338.48

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectKubuntu Focus714212835SE +/- 0.03, N = 330.35

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonKubuntu Focus20406080100SE +/- 0.12, N = 390.21

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleKubuntu Focus1.2562.5123.7685.0246.28SE +/- 0.027, N = 35.582

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropKubuntu Focus246810SE +/- 0.034, N = 38.012

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Kubuntu Focus4K8K12K16K20KSE +/- 301.74, N = 320028.671. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

Numpy Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterNumpy BenchmarkKubuntu Focus4080120160200SE +/- 0.50, N = 3189.08

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUKubuntu Focus1632486480SE +/- 0.04, N = 373.87

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneKubuntu Focus612182430SE +/- 0.20, N = 326.46

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Kubuntu Focus510152025SE +/- 0.24, N = 322.541. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Kubuntu Focus1.3322.6643.9965.3286.66SE +/- 0.01, N = 35.921. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pKubuntu Focus48121620SE +/- 0.26, N = 315.811. (CXX) g++ options: -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pKubuntu Focus0.4140.8281.2421.6562.07SE +/- 0.015, N = 31.8401. (CXX) g++ options: -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pKubuntu Focus0.02180.04360.06540.08720.109SE +/- 0.000, N = 120.0971. (CXX) g++ options: -fPIE -fPIC -pie

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 0.2.0Speed: 9Kubuntu Focus0.29090.58180.87271.16361.4545SE +/- 0.008, N = 31.293

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.2.0Speed: 6Kubuntu Focus0.23180.46360.69540.92721.159SE +/- 0.004, N = 31.030

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.2.0Speed: 5Kubuntu Focus0.14650.2930.43950.5860.7325SE +/- 0.003, N = 30.651

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.2.0Speed: 1Kubuntu Focus0.03690.07380.11070.14760.1845SE +/- 0.001, N = 30.164

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 9Jan2020Model: Rhodopsin ProteinKubuntu Focus1.00532.01063.01594.02125.0265SE +/- 0.012, N = 34.4681. (CXX) g++ options: -fopenmp -O3 -rdynamic -lfftw3 -lm

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 0.23.2Backend: RandomKubuntu Focus70K140K210K280K350KSE +/- 469.98, N = 33069931. (CXX) g++ options: -lpthread -lOpenCL -lz

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.23.2Backend: BLASKubuntu Focus2004006008001000SE +/- 14.97, N = 41046.041. (CXX) g++ options: -lpthread -lOpenCL -lz

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Kubuntu Focus0.88131.76262.64393.52524.4065SE +/- 0.00892, N = 33.916881. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

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 0.23.2Backend: OpenCLKubuntu Focus3K6K9K12K15KSE +/- 523.94, N = 1211716.121. (CXX) g++ options: -lpthread -lOpenCL -lz