rocky-sci-set

Intel Core i7-6700 testing with a Dell 0JCTF8 (1.5.10 BIOS) and Intel HD 530 SKL GT2 62GB on Rocky Linux 9.2 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 2307016-ASAL-ROCKYSC91
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
i7-6700
June 30 2023
  1 Day, 5 Hours, 51 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

i7-6700

Processor: Intel Core i7-6700 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0JCTF8 (1.5.10 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 64GB, Disk: 1000GB Seagate ST1000LM044 HN-M + 512GB Samsung SSD 850, Graphics: Intel HD 530 SKL GT2 62GB (1150MHz), Audio: Realtek ALC3234, Monitor: LG ULTRAWIDE + DELL P2417H, Network: Intel I219-LM

OS: Rocky Linux 9.2, Kernel: 5.14.0-284.18.1.el9_2.x86_64 (x86_64), Desktop: GNOME Shell 40.10, Display Server: X Server 1.20.11 + Wayland, OpenGL: 4.6 Mesa 22.3.0, Compiler: GCC 11.3.1 20221121, File-System: xfs, Screen Resolution: 4520x1920

Kernel Notes: Transparent Huge Pages: always
Environment Notes: NVM_CD_FLAGS=
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0xf0
Python Notes: Python 3.9.16
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

rocky-sci-setOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-6700 @ 4.00GHz (4 Cores / 8 Threads)Dell 0JCTF8 (1.5.10 BIOS)Intel Xeon E3-1200 v5/E3-150064GB1000GB Seagate ST1000LM044 HN-M + 512GB Samsung SSD 850Intel HD 530 SKL GT2 62GB (1150MHz)Realtek ALC3234LG ULTRAWIDE + DELL P2417HIntel I219-LMRocky Linux 9.25.14.0-284.18.1.el9_2.x86_64 (x86_64)GNOME Shell 40.10X Server 1.20.11 + Wayland4.6 Mesa 22.3.0GCC 11.3.1 20221121xfs4520x1920ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionRocky-sci-set BenchmarksSystem Logs- Transparent Huge Pages: always- NVM_CD_FLAGS=- --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl - Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0xf0 - Python 3.9.16- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

rocky-sci-setbuild-linux-kernel: allmodconfiglammps: 20k Atomsscikit-learn: Isotonic / Perturbed Logarithmscikit-learn: Isotonic / Logisticbuild-gcc: Time To Compilescikit-learn: SAGAhpl: scikit-learn: Sparse Rand Projections / 100 Iterationsscikit-learn: GLMscikit-learn: Kernel PCA Solvers / Time vs. N Componentsscikit-learn: Lassoscikit-learn: Covertype Dataset Benchmarkscikit-learn: TSNE MNIST Datasetscikit-learn: SGDOneClassSVMscikit-learn: Plot Lasso Pathscikit-learn: Isolation Forestscikit-learn: Plot Fast KMeansscikit-learn: Kernel PCA Solvers / Time vs. N Samplesfftw: Float + SSE - 2D FFT Size 4096ffmpeg: libx264 - Uploadffmpeg: libx264 - Uploadffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandffmpeg: libx265 - Platformffmpeg: libx265 - Platformscikit-learn: Plot Hierarchicalscikit-learn: Hist Gradient Boosting Threadingbuild-linux-kernel: defconfigffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadscikit-learn: Treescikit-learn: Plot Neighborsscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Hist Gradient Boostingffmpeg: libx264 - Video On Demandffmpeg: libx264 - Video On Demandffmpeg: libx264 - Platformffmpeg: libx264 - Platformscikit-learn: Plot Singular Value Decompositionfftw: Stock - 2D FFT Size 4096numpy: scikit-learn: Feature Expansionsscikit-learn: Sample Without Replacementscikit-learn: SGD Regressionscikit-learn: Hist Gradient Boosting Adultopenssl: AES-128-GCMopenssl: SHA256openssl: ChaCha20-Poly1305openssl: AES-256-GCMopenssl: ChaCha20openssl: SHA512scikit-learn: LocalOutlierFactorscikit-learn: Hist Gradient Boosting Higgs Bosonscikit-learn: Plot OMP vs. LARSscikit-learn: Sparsifysvt-av1: Preset 4 - Bosphorus 4Khmmer: Pfam Database Searchbuild-python: Released Build, PGO + LTO Optimizedscikit-learn: Text Vectorizersscikit-learn: MNIST Datasetfftw: Float + SSE - 2D FFT Size 2048ffmpeg: libx265 - Liveffmpeg: libx265 - Livescikit-learn: Plot Incremental PCAscikit-learn: Plot Wardscikit-learn: 20 Newsgroups / Logistic Regressionfftw: Stock - 2D FFT Size 2048openssl: RSA4096openssl: RSA4096ffmpeg: libx264 - Liveffmpeg: libx264 - Livesvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Kfftw: Float + SSE - 2D FFT Size 1024cryptsetup: Twofish-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: AES-XTS 256b Decryptioncryptsetup: AES-XTS 256b Encryptioncryptsetup: PBKDF2-whirlpoolcryptsetup: PBKDF2-sha512scikit-learn: Hist Gradient Boosting Categorical Onlyliquid-dsp: 8 - 256 - 512liquid-dsp: 2 - 256 - 512liquid-dsp: 1 - 256 - 512liquid-dsp: 4 - 256 - 512liquid-dsp: 1 - 256 - 32liquid-dsp: 2 - 256 - 57liquid-dsp: 2 - 256 - 32liquid-dsp: 1 - 256 - 57liquid-dsp: 8 - 256 - 57liquid-dsp: 8 - 256 - 32liquid-dsp: 4 - 256 - 57liquid-dsp: 4 - 256 - 32rbenchmark: fftw: Float + SSE - 2D FFT Size 128svt-av1: Preset 8 - Bosphorus 1080pfftw: Stock - 2D FFT Size 1024fftw: Float + SSE - 1D FFT Size 64svt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Kbuild-python: Defaultlammps: Rhodopsin Proteinfftw: Float + SSE - 2D FFT Size 256fftw: Float + SSE - 1D FFT Size 4096fftw: Stock - 1D FFT Size 4096fftw: Float + SSE - 1D FFT Size 128fftw: Float + SSE - 2D FFT Size 512fftw: Float + SSE - 1D FFT Size 1024fftw: Float + SSE - 1D FFT Size 2048fftw: Stock - 1D FFT Size 2048fftw: Stock - 2D FFT Size 512fftw: Float + SSE - 1D FFT Size 256fftw: Float + SSE - 1D FFT Size 512fftw: Float + SSE - 2D FFT Size 32svt-av1: Preset 12 - Bosphorus 1080pfftw: Stock - 1D FFT Size 1024fftw: Stock - 2D FFT Size 64fftw: Stock - 1D FFT Size 64fftw: Stock - 1D FFT Size 32fftw: Stock - 2D FFT Size 256svt-av1: Preset 13 - Bosphorus 1080pfftw: Stock - 1D FFT Size 512fftw: Float + SSE - 2D FFT Size 64fftw: Float + SSE - 1D FFT Size 32fftw: Stock - 1D FFT Size 256fftw: Stock - 2D FFT Size 128fftw: Stock - 2D FFT Size 32fftw: Stock - 1D FFT Size 128scikit-learn: Glmneti7-67003831.6352.9441784.6141434.7111858.5661155.900180.591018.592597.075330.476516.782480.241464.911406.685356.682328.949324.154262.7012161710.44241.8626.85282.1326.85282.07219.711219.452279.55712.81197.1649.727184.788182.769168.14039.86190.0439.94189.65160.1085365.2339.02149.978147.618143.479131.5952264507733312860484101002362443016479185490144940723771434513893127.94689.674117.307115.4701.094147.851391.80483.16583.3862246274.1268.1357.83562.62755.8565403.574131.51120.2171.7629.403.77814.50530937363.4368.3639.2637.62518.72512.4363.4362.1634.2631.92905.12883.2635813143790127.7114688533314580333733476727866667437626677758066783587000423316672057966672563433331525866671610066670.17283458234.7335682.22010349.07850.83935.2522.79832186455516981.8240503446146515459117321.36713.1352344529045212174.3977442.57476.87493.88432.56677.3202.6487483.439750155137311.86984.78842.17091.4OpenBenchmarking.org

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigi7-67008001600240032004000SE +/- 1.04, N = 33831.64

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 23Jun2022Model: 20k Atomsi7-67000.66241.32481.98722.64963.312SE +/- 0.002, N = 32.9441. (CXX) g++ options: -O3 -lm -ldl

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / Perturbed Logarithmi7-6700400800120016002000SE +/- 1.21, N = 31784.611. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / Logistici7-670030060090012001500SE +/- 1.30, N = 31434.711. (F9X) gfortran options: -O0

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 11.2.0Time To Compilei7-6700400800120016002000SE +/- 2.20, N = 31858.57

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SAGAi7-67002004006008001000SE +/- 0.99, N = 31155.901. (F9X) gfortran options: -O0

HPL Linpack

HPL is a well known portable Linpack implementation for distributed memory systems. This test profile is testing HPL upstream directly, outside the scope of the HPC Challenge test profile also available through the Phoronix Test Suite (hpcc). The test profile attempts to generate an optimized HPL.dat input file based on the CPU/memory under test. The automated HPL.dat input generation is still being tuned and thus for now this test profile remains "experimental". Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterHPL Linpack 2.3i7-67004080120160200SE +/- 0.66, N = 3180.591. (CC) gcc options: -O2 -lopenblas -lm -lmpi

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparse Random Projections / 100 Iterationsi7-67002004006008001000SE +/- 3.64, N = 31018.591. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: GLMi7-6700130260390520650SE +/- 0.17, N = 3597.081. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N Componentsi7-670070140210280350SE +/- 6.86, N = 6330.481. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Lassoi7-6700110220330440550SE +/- 1.01, N = 3516.781. (F9X) gfortran options: -O0

Benchmark: Plot Parallel Pairwise

i7-6700: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Covertype Dataset Benchmarki7-6700100200300400500SE +/- 1.19, N = 3480.241. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST Dataseti7-6700100200300400500SE +/- 0.21, N = 3464.911. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGDOneClassSVMi7-670090180270360450SE +/- 0.68, N = 3406.691. (F9X) gfortran options: -O0

Benchmark: Isotonic / Pathological

i7-6700: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Lasso Pathi7-670080160240320400SE +/- 1.45, N = 3356.681. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isolation Foresti7-670070140210280350SE +/- 0.43, N = 3328.951. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Fast KMeansi7-670070140210280350SE +/- 2.01, N = 3324.151. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N Samplesi7-670060120180240300SE +/- 1.21, N = 3262.701. (F9X) gfortran options: -O0

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096i7-67005K10K15K20K25KSE +/- 168.64, N = 3216171. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Uploadi7-67003691215SE +/- 0.02, N = 310.441. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Uploadi7-670050100150200250SE +/- 0.51, N = 3241.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandi7-6700612182430SE +/- 0.01, N = 326.851. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On Demandi7-670060120180240300SE +/- 0.14, N = 3282.131. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platformi7-6700612182430SE +/- 0.02, N = 326.851. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Platformi7-670060120180240300SE +/- 0.17, N = 3282.071. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Hierarchicali7-670050100150200250SE +/- 0.23, N = 3219.711. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Threadingi7-670050100150200250SE +/- 0.13, N = 3219.451. (F9X) gfortran options: -O0

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigi7-670060120180240300SE +/- 1.20, N = 3279.56

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadi7-67003691215SE +/- 0.00, N = 312.811. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Uploadi7-67004080120160200SE +/- 0.05, N = 3197.161. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Treei7-67001122334455SE +/- 0.52, N = 1549.731. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Neighborsi7-67004080120160200SE +/- 1.46, N = 3184.791. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Polynomial Kernel Approximationi7-67004080120160200SE +/- 0.20, N = 3182.771. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boostingi7-67004080120160200SE +/- 0.69, N = 3168.141. (F9X) gfortran options: -O0

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Video On Demandi7-6700918273645SE +/- 0.06, N = 339.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Video On Demandi7-67004080120160200SE +/- 0.31, N = 3190.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Platformi7-6700918273645SE +/- 0.05, N = 339.941. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Platformi7-67004080120160200SE +/- 0.24, N = 3189.651. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Singular Value Decompositioni7-67004080120160200SE +/- 0.05, N = 3160.111. (F9X) gfortran options: -O0

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 4096i7-670012002400360048006000SE +/- 20.24, N = 35365.21. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmarki7-670070140210280350SE +/- 1.42, N = 3339.02

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Feature Expansionsi7-6700306090120150SE +/- 0.24, N = 3149.981. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sample Without Replacementi7-6700306090120150SE +/- 0.59, N = 3147.621. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD Regressioni7-6700306090120150SE +/- 0.15, N = 3143.481. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Adulti7-6700306090120150SE +/- 0.15, N = 3131.601. (F9X) gfortran options: -O0

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMi7-67005000M10000M15000M20000M25000MSE +/- 6126051.12, N = 3226450773331. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256i7-6700300M600M900M1200M1500MSE +/- 188828.69, N = 312860484101. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305i7-67002000M4000M6000M8000M10000MSE +/- 4853140.41, N = 3100236244301. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMi7-67004000M8000M12000M16000M20000MSE +/- 685671.53, N = 3164791854901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20i7-67003000M6000M9000M12000M15000MSE +/- 6324683.14, N = 3144940723771. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512i7-6700300M600M900M1200M1500MSE +/- 77192.38, N = 314345138931. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LocalOutlierFactori7-6700306090120150SE +/- 0.20, N = 3127.951. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Higgs Bosoni7-670020406080100SE +/- 0.11, N = 389.671. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot OMP vs. LARSi7-6700306090120150SE +/- 0.08, N = 3117.311. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparsifyi7-6700306090120150SE +/- 0.27, N = 3115.471. (F9X) gfortran options: -O0

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 4Ki7-67000.24620.49240.73860.98481.231SE +/- 0.001, N = 31.0941. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 3.3.2Pfam Database Searchi7-6700306090120150SE +/- 0.09, N = 3147.851. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm -lmpi

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO Optimizedi7-670080160240320400391.80

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Text Vectorizersi7-670020406080100SE +/- 0.02, N = 383.171. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST Dataseti7-670020406080100SE +/- 0.23, N = 383.391. (F9X) gfortran options: -O0

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 2048i7-67005K10K15K20K25KSE +/- 205.78, N = 3224621. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Livei7-67001632486480SE +/- 0.06, N = 374.121. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Livei7-67001530456075SE +/- 0.05, N = 368.131. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Incremental PCAi7-67001326395265SE +/- 0.67, N = 357.841. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Wardi7-67001428425670SE +/- 0.43, N = 362.631. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: 20 Newsgroups / Logistic Regressioni7-67001326395265SE +/- 0.04, N = 355.861. (F9X) gfortran options: -O0

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 2048i7-670012002400360048006000SE +/- 49.50, N = 35403.51. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

Benchmark: Plot Non-Negative Matrix Factorization

i7-6700: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: KeyError:

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096i7-670016K32K48K64K80KSE +/- 27.32, N = 374131.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096i7-67002004006008001000SE +/- 2.55, N = 31120.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Livei7-67004080120160200SE +/- 0.49, N = 3171.761. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx264 - Scenario: Livei7-6700714212835SE +/- 0.08, N = 329.401. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 4 - Input: Bosphorus 1080pi7-67000.85011.70022.55033.40044.2505SE +/- 0.007, N = 33.7781. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 4Ki7-670048121620SE +/- 0.01, N = 314.511. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 1024i7-67007K14K21K28K35KSE +/- 311.26, N = 6309371. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryptioni7-670080160240320400SE +/- 0.83, N = 3363.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryptioni7-670080160240320400SE +/- 3.97, N = 3368.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryptioni7-6700140280420560700SE +/- 2.19, N = 3639.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryptioni7-6700140280420560700SE +/- 2.37, N = 3637.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryptioni7-67005001000150020002500SE +/- 5.03, N = 32518.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryptioni7-67005001000150020002500SE +/- 8.67, N = 32512.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryptioni7-670080160240320400SE +/- 1.27, N = 3363.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryptioni7-670080160240320400SE +/- 0.81, N = 3362.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryptioni7-6700140280420560700SE +/- 2.03, N = 3634.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryptioni7-6700140280420560700SE +/- 2.52, N = 3631.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryptioni7-67006001200180024003000SE +/- 16.21, N = 32905.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryptioni7-67006001200180024003000SE +/- 3.85, N = 32883.2

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpooli7-6700140K280K420K560K700KSE +/- 4233.72, N = 3635813

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512i7-6700300K600K900K1200K1500KSE +/- 11424.14, N = 31437901

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Categorical Onlyi7-6700714212835SE +/- 0.05, N = 327.711. (F9X) gfortran options: -O0

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 512i7-670010M20M30M40M50MSE +/- 9171.21, N = 3468853331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 512i7-67003M6M9M12M15MSE +/- 37239.47, N = 3145803331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512i7-67001.6M3.2M4.8M6.4M8MSE +/- 16936.88, N = 373347671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 512i7-67006M12M18M24M30MSE +/- 86248.35, N = 3278666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32i7-67009M18M27M36M45MSE +/- 42337.27, N = 3437626671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 57i7-670017M34M51M68M85MSE +/- 671974.54, N = 3775806671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 32i7-670020M40M60M80M100MSE +/- 83072.26, N = 3835870001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 57i7-67009M18M27M36M45MSE +/- 53220.71, N = 3423316671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 57i7-670040M80M120M160M200MSE +/- 61734.20, N = 32057966671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 32i7-670050M100M150M200M250MSE +/- 470614.26, N = 32563433331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 57i7-670030M60M90M120M150MSE +/- 213020.60, N = 31525866671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 32i7-670030M60M90M120M150MSE +/- 56075.35, N = 31610066671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

R Benchmark

This test is a quick-running survey of general R performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterR Benchmarki7-67000.03890.07780.11670.15560.1945SE +/- 0.0007, N = 30.1728

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 128i7-67007K14K21K28K35KSE +/- 272.74, N = 15345821. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 8 - Input: Bosphorus 1080pi7-6700816243240SE +/- 0.24, N = 334.731. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 1024i7-670012002400360048006000SE +/- 22.84, N = 35682.21. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 64i7-67004K8K12K16K20KSE +/- 171.22, N = 15201031. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 4Ki7-67001122334455SE +/- 0.09, N = 349.081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 4Ki7-67001122334455SE +/- 0.02, N = 350.841. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

Benchmark: RCV1 Logreg Convergencet

i7-6700: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: IndexError: list index out of range

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Defaulti7-670081624324035.25

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 23Jun2022Model: Rhodopsin Proteini7-67000.62961.25921.88882.51843.148SE +/- 0.006, N = 32.7981. (CXX) g++ options: -O3 -lm -ldl

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 256i7-67007K14K21K28K35KSE +/- 350.43, N = 5321861. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096i7-670010K20K30K40K50KSE +/- 454.21, N = 3455511. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 4096i7-670015003000450060007500SE +/- 50.40, N = 36981.81. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 128i7-67005K10K15K20K25KSE +/- 243.92, N = 6240501. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 512i7-67007K14K21K28K35KSE +/- 199.56, N = 3344611. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 1024i7-670010K20K30K40K50KSE +/- 196.52, N = 3465151. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 2048i7-670010K20K30K40K50KSE +/- 483.27, N = 3459111. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 2048i7-670016003200480064008000SE +/- 30.50, N = 37321.31. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 512i7-670014002800420056007000SE +/- 59.38, N = 36713.11. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 256i7-67008K16K24K32K40KSE +/- 370.64, N = 3352341. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 512i7-670010K20K30K40K50KSE +/- 79.20, N = 3452901. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 32i7-670010K20K30K40K50KSE +/- 468.54, N = 3452121. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 12 - Input: Bosphorus 1080pi7-67004080120160200SE +/- 0.63, N = 3174.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 1024i7-670016003200480064008000SE +/- 98.19, N = 37442.51. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 64i7-670016003200480064008000SE +/- 40.81, N = 37476.81. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 64i7-670016003200480064008000SE +/- 30.08, N = 37493.81. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32i7-67002K4K6K8K10KSE +/- 104.44, N = 48432.51. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 256i7-670014002800420056007000SE +/- 50.22, N = 36677.31. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.5Encoder Mode: Preset 13 - Input: Bosphorus 1080pi7-67004080120160200SE +/- 0.74, N = 3202.651. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 512i7-670016003200480064008000SE +/- 20.64, N = 37483.41. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 64i7-67009K18K27K36K45KSE +/- 323.73, N = 3397501. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 32i7-67003K6K9K12K15KSE +/- 180.29, N = 3155131. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 256i7-670016003200480064008000SE +/- 27.14, N = 37311.81. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 128i7-670015003000450060007500SE +/- 37.74, N = 36984.71. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 32i7-67002K4K6K8K10KSE +/- 60.81, N = 38842.11. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 128i7-670015003000450060007500SE +/- 50.33, N = 37091.41. (CC) gcc options: -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

Benchmark: Glmnet

i7-6700: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'

136 Results Shown

Timed Linux Kernel Compilation
LAMMPS Molecular Dynamics Simulator
Scikit-Learn:
  Isotonic / Perturbed Logarithm
  Isotonic / Logistic
Timed GCC Compilation
Scikit-Learn
HPL Linpack
Scikit-Learn:
  Sparse Rand Projections / 100 Iterations
  GLM
  Kernel PCA Solvers / Time vs. N Components
  Lasso
  Covertype Dataset Benchmark
  TSNE MNIST Dataset
  SGDOneClassSVM
  Plot Lasso Path
  Isolation Forest
  Plot Fast KMeans
  Kernel PCA Solvers / Time vs. N Samples
FFTW
FFmpeg:
  libx264 - Upload:
    FPS
    Seconds
  libx265 - Video On Demand:
    FPS
    Seconds
  libx265 - Platform:
    FPS
    Seconds
Scikit-Learn:
  Plot Hierarchical
  Hist Gradient Boosting Threading
Timed Linux Kernel Compilation
FFmpeg:
  libx265 - Upload:
    FPS
    Seconds
Scikit-Learn:
  Tree
  Plot Neighbors
  Plot Polynomial Kernel Approximation
  Hist Gradient Boosting
FFmpeg:
  libx264 - Video On Demand:
    FPS
    Seconds
  libx264 - Platform:
    FPS
    Seconds
Scikit-Learn
FFTW
Numpy Benchmark
Scikit-Learn:
  Feature Expansions
  Sample Without Replacement
  SGD Regression
  Hist Gradient Boosting Adult
OpenSSL:
  AES-128-GCM
  SHA256
  ChaCha20-Poly1305
  AES-256-GCM
  ChaCha20
  SHA512
Scikit-Learn:
  LocalOutlierFactor
  Hist Gradient Boosting Higgs Boson
  Plot OMP vs. LARS
  Sparsify
SVT-AV1
Timed HMMer Search
Timed CPython Compilation
Scikit-Learn:
  Text Vectorizers
  MNIST Dataset
FFTW
FFmpeg:
  libx265 - Live:
    FPS
    Seconds
Scikit-Learn:
  Plot Incremental PCA
  Plot Ward
  20 Newsgroups / Logistic Regression
FFTW
OpenSSL:
  RSA4096:
    verify/s
    sign/s
FFmpeg:
  libx264 - Live:
    FPS
    Seconds
SVT-AV1:
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 4K
FFTW
Cryptsetup:
  Twofish-XTS 512b Decryption
  Twofish-XTS 512b Encryption
  Serpent-XTS 512b Decryption
  Serpent-XTS 512b Encryption
  AES-XTS 512b Decryption
  AES-XTS 512b Encryption
  Twofish-XTS 256b Decryption
  Twofish-XTS 256b Encryption
  Serpent-XTS 256b Decryption
  Serpent-XTS 256b Encryption
  AES-XTS 256b Decryption
  AES-XTS 256b Encryption
  PBKDF2-whirlpool
  PBKDF2-sha512
Scikit-Learn
Liquid-DSP:
  8 - 256 - 512
  2 - 256 - 512
  1 - 256 - 512
  4 - 256 - 512
  1 - 256 - 32
  2 - 256 - 57
  2 - 256 - 32
  1 - 256 - 57
  8 - 256 - 57
  8 - 256 - 32
  4 - 256 - 57
  4 - 256 - 32
R Benchmark
FFTW
SVT-AV1
FFTW:
  Stock - 2D FFT Size 1024
  Float + SSE - 1D FFT Size 64
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
Timed CPython Compilation
LAMMPS Molecular Dynamics Simulator
FFTW:
  Float + SSE - 2D FFT Size 256
  Float + SSE - 1D FFT Size 4096
  Stock - 1D FFT Size 4096
  Float + SSE - 1D FFT Size 128
  Float + SSE - 2D FFT Size 512
  Float + SSE - 1D FFT Size 1024
  Float + SSE - 1D FFT Size 2048
  Stock - 1D FFT Size 2048
  Stock - 2D FFT Size 512
  Float + SSE - 1D FFT Size 256
  Float + SSE - 1D FFT Size 512
  Float + SSE - 2D FFT Size 32
SVT-AV1
FFTW:
  Stock - 1D FFT Size 1024
  Stock - 2D FFT Size 64
  Stock - 1D FFT Size 64
  Stock - 1D FFT Size 32
  Stock - 2D FFT Size 256
SVT-AV1
FFTW:
  Stock - 1D FFT Size 512
  Float + SSE - 2D FFT Size 64
  Float + SSE - 1D FFT Size 32
  Stock - 1D FFT Size 256
  Stock - 2D FFT Size 128
  Stock - 2D FFT Size 32
  Stock - 1D FFT Size 128

i7-6700

Processor: Intel Core i7-6700 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0JCTF8 (1.5.10 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 64GB, Disk: 1000GB Seagate ST1000LM044 HN-M + 512GB Samsung SSD 850, Graphics: Intel HD 530 SKL GT2 62GB (1150MHz), Audio: Realtek ALC3234, Monitor: LG ULTRAWIDE + DELL P2417H, Network: Intel I219-LM

OS: Rocky Linux 9.2, Kernel: 5.14.0-284.18.1.el9_2.x86_64 (x86_64), Desktop: GNOME Shell 40.10, Display Server: X Server 1.20.11 + Wayland, OpenGL: 4.6 Mesa 22.3.0, Compiler: GCC 11.3.1 20221121, File-System: xfs, Screen Resolution: 4520x1920

Kernel Notes: Transparent Huge Pages: always
Environment Notes: NVM_CD_FLAGS=
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0xf0
Python Notes: Python 3.9.16
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 30 June 2023 16:34 by user asalois.