Intel Core i5-7440HQ Performance

Various open-source benchmarks by the Phoronix Test Suite v10.6.1.

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Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
2021-11-17 19:59
November 17 2021
  21 Minutes
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Intel Core i5-7440HQ PerformanceOpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-7440HQ @ 3.80GHz (4 Cores)Dell 00YYJC (1.19.2 BIOS)Intel Xeon E3-1200 v6/7th16GBToshiba KXG50ZNV256G NVMe 256GB + 500GB Seagate ST500LM021-1KJ15Intel HD 630 3GB (1000MHz)Realtek GenericIntel I219-LM + Intel 8265 / 8275Debian 105.14.5 (x86_64)KDE Plasma 5.14.5X Server 1.20.44.5 Mesa 18.3.6GCC 8.3.0 + Clang 7.0.1-8+deb10u2ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionIntel Core I5-7440HQ Performance BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xea- Python 2.7.16 + Python 3.7.3- itlb_multihit: vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled

Intel Core i5-7440HQ Performancetensorflow-lite: Mobilenet Floatinkscape: SVG Files To PNGdraco: Liondraco: Church Facadehint: FLOATai-benchmark: 2021-11-17 19:5936384434.83665809771367581670.45091OpenBenchmarking.org

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float2021-11-17 19:5980K160K240K320K400KSE +/- 249.73, N = 3363844

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNG2021-11-17 19:59816243240SE +/- 0.14, N = 334.841. Inkscape 0.92.4 (5da689c313, 2019-01-14)

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.4.1Model: Lion2021-11-17 19:5914002800420056007000SE +/- 38.22, N = 365801. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.4.1Model: Church Facade2021-11-17 19:592K4K6K8K10KSE +/- 16.56, N = 397711. (CXX) g++ options: -O3

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: FLOAT2021-11-17 19:5980M160M240M320M400MSE +/- 357762.13, N = 3367581670.451. (CC) gcc options: -O3 -march=native -lm

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

2021-11-17 19:59: ModuleNotFoundError: No module named 'tensorflow'