n305

Intel Core i3-N305 testing with a MSI MS-CF03 v1.0 (ECF03IMS.100 BIOS) and MSI Intel Alder Lake-N [UHD ] on Ubuntu 24.04 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 2411304-NE-N3053980992
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15W
November 30
  1 Hour, 3 Minutes
Intel Core i3-N305
November 30
  14 Minutes
Invert Behavior (Only Show Selected Data)
  39 Minutes
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n305OpenBenchmarking.orgPhoronix Test SuiteIntel Core i3-N305 @ 3.80GHz (8 Cores)MSI MS-CF03 v1.0 (ECF03IMS.100 BIOS)Intel Alder Lake-N PCH1 x 8GB DDR5-4800MT/s SK Hynix HMCG66MEBSA092N64GB SATA SSDMSI Intel Alder Lake-N [UHD ]Realtek ALC897DELL P2317H2 x Intel I225-VUbuntu 24.046.8.0-49-generic (x86_64)GNOME Shell 46.0X Server + Wayland4.6 Mesa 24.0.9-0ubuntu0.2GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionN305 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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 - 15W: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1a - Thermald 2.5.6 - Intel Core i3-N305: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x1a - Thermald 2.5.6 - 15W: Python 3.12.3- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected

n305dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitffte: N=256, 3D Complex FFT Routinescimark2: Compositescimark2: Monte Carloscimark2: Fast Fourier Transformscimark2: Sparse Matrix Multiplyscimark2: Dense LU Matrix Factorizationscimark2: Jacobi Successive Over-Relaxationpyperformance: gopyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: xml_etreepyperformance: gc_collectpyperformance: json_loadspyperformance: crypto_pyaespyperformance: async_tree_iopyperformance: regex_compilepyperformance: python_startuppyperformance: asyncio_tcp_sslpyperformance: django_templatepyperformance: asyncio_websocketspyperformance: pickle_pure_pythonfinancebench: Bonds OpenMP15WIntel Core i3-N30526758.340424708558.89176.35170.61765.98664.051017.4613063.372.475.724.128459.51.5023.567.51.14136101.745.6381277288.1688.85388.91222.16OpenBenchmarking.org

dav1d

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Chimera 1080pIntel Core i3-N30560120180240300SE +/- 3.72, N = 14288.161. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Summer Nature 4KIntel Core i3-N30520406080100SE +/- 0.98, N = 388.851. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Summer Nature 1080pIntel Core i3-N30580160240320400SE +/- 3.93, N = 14388.911. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Chimera 1080p 10-bitIntel Core i3-N30550100150200250SE +/- 1.59, N = 3222.161. (CC) gcc options: -pthread

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 Routine15W6K12K18K24K30KSE +/- 168.27, N = 326758.341. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Composite15W120240360480600SE +/- 2.00, N = 3558.891. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte Carlo15W4080120160200SE +/- 1.77, N = 3176.351. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier Transform15W4080120160200SE +/- 0.99, N = 3170.611. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Sparse Matrix Multiply15W170340510680850SE +/- 4.44, N = 3765.981. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix Factorization15W140280420560700SE +/- 0.86, N = 3664.051. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-Relaxation15W2004006008001000SE +/- 2.33, N = 31017.461. (CC) gcc options: -lm

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: go15W306090120150SE +/- 0.00, N = 3130

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaos15W1428425670SE +/- 0.07, N = 363.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: float15W1632486480SE +/- 0.03, N = 372.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbody15W20406080100SE +/- 0.03, N = 375.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlib15W612182430SE +/- 0.03, N = 324.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytrace15W60120180240300SE +/- 0.00, N = 3284

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etree15W1326395265SE +/- 0.03, N = 359.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collect15W0.33750.6751.01251.351.6875SE +/- 0.00, N = 31.50

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loads15W612182430SE +/- 0.00, N = 323.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaes15W1530456075SE +/- 0.03, N = 367.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_io15W0.25650.5130.76951.0261.2825SE +/- 0.00, N = 31.14

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compile15W306090120150SE +/- 0.00, N = 3136

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startup15W3691215SE +/- 0.00, N = 310

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_ssl15W0.38250.7651.14751.531.9125SE +/- 0.00, N = 31.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_template15W1020304050SE +/- 0.03, N = 345.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websockets15W80160240320400SE +/- 1.00, N = 3381

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_python15W60120180240300SE +/- 0.00, N = 3277

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

Benchmark: Repo OpenMP

15W: The test quit with a non-zero exit status.

Benchmark: Bonds OpenMP

15W: The test quit with a non-zero exit status.