i3 10100

Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 3GB 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 2008244-FI-I3101007650
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i3 10100OpenBenchmarking.orgPhoronix Test SuiteIntel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Gigabyte B460M DS3H (F2 BIOS)Intel Device 9b6316GB500GB Western Digital WDS500G3X0C-00SJG0Gigabyte Intel UHD 630 3GB (1100MHz)Realtek ALC887-VDG237HLRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionI3 10100 BenchmarksSystem 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++,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

x1x2x3Result OverviewPhoronix Test Suite100%100%100%100%NAMDTensorFlow LiteASTC EncoderASTC EncoderASTC EncoderTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteASTC EncoderATPase Simulation - 327,506 AtomsNASNet MobileFastExhaustiveThoroughInception V4Mobilenet FloatMobilenet QuantSqueezeNetI.R.VMedium

i3 10100namd: ATPase Simulation - 327,506 Atomstensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivex1x2x33.60308476430689413033639532157832596162331837.429.3562.61508.783.61507476457689586033583232154332593162332377.429.3562.63509.083.61017476452689384033588932155232595462330837.419.3562.61508.86OpenBenchmarking.org

NAMD

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomsx1x2x30.81341.62682.44023.25364.067SE +/- 0.00134, N = 3SE +/- 0.00495, N = 3SE +/- 0.00204, N = 33.603083.615073.61017
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomsx1x2x3246810Min: 3.6 / Avg: 3.6 / Max: 3.61Min: 3.61 / Avg: 3.62 / Max: 3.62Min: 3.61 / Avg: 3.61 / Max: 3.61

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: SqueezeNetx1x2x3100K200K300K400K500KSE +/- 33.89, N = 3SE +/- 30.96, N = 3SE +/- 13.53, N = 3476430476457476452
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetx1x2x380K160K240K320K400KMin: 476369 / Avg: 476430.33 / Max: 476486Min: 476406 / Avg: 476457.33 / Max: 476513Min: 476435 / Avg: 476452.33 / Max: 476479

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4x1x2x31.5M3M4.5M6M7.5MSE +/- 95.39, N = 3SE +/- 1848.43, N = 3SE +/- 430.00, N = 3689413068958606893840
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4x1x2x31.2M2.4M3.6M4.8M6MMin: 6893970 / Avg: 6894130 / Max: 6894300Min: 6893820 / Avg: 6895860 / Max: 6899550Min: 6893410 / Avg: 6893840 / Max: 6894700

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobilex1x2x370K140K210K280K350KSE +/- 496.19, N = 3SE +/- 119.84, N = 3SE +/- 23.95, N = 3336395335832335889
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobilex1x2x360K120K180K240K300KMin: 335867 / Avg: 336395.33 / Max: 337387Min: 335641 / Avg: 335832.33 / Max: 336053Min: 335854 / Avg: 335889.33 / Max: 335935

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Floatx1x2x370K140K210K280K350KSE +/- 55.85, N = 3SE +/- 33.98, N = 3SE +/- 36.61, N = 3321578321543321552
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Floatx1x2x360K120K180K240K300KMin: 321485 / Avg: 321577.67 / Max: 321678Min: 321477 / Avg: 321543 / Max: 321590Min: 321501 / Avg: 321552 / Max: 321623

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quantx1x2x370K140K210K280K350KSE +/- 8.37, N = 3SE +/- 23.39, N = 3SE +/- 38.00, N = 3325961325931325954
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quantx1x2x360K120K180K240K300KMin: 325946 / Avg: 325960.67 / Max: 325975Min: 325891 / Avg: 325931 / Max: 325972Min: 325878 / Avg: 325954 / Max: 325993

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2x1x2x31.3M2.6M3.9M5.2M6.5MSE +/- 184.15, N = 3SE +/- 124.41, N = 3SE +/- 267.35, N = 3623318362332376233083
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2x1x2x31.1M2.2M3.3M4.4M5.5MMin: 6232830 / Avg: 6233183.33 / Max: 6233450Min: 6233070 / Avg: 6233236.67 / Max: 6233480Min: 6232560 / Avg: 6233083.33 / Max: 6233440

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fastx1x2x3246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.427.427.411. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fastx1x2x33691215Min: 7.41 / Avg: 7.42 / Max: 7.44Min: 7.42 / Avg: 7.42 / Max: 7.42Min: 7.41 / Avg: 7.41 / Max: 7.421. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Mediumx1x2x33691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 39.359.359.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Mediumx1x2x33691215Min: 9.35 / Avg: 9.35 / Max: 9.36Min: 9.35 / Avg: 9.35 / Max: 9.36Min: 9.35 / Avg: 9.35 / Max: 9.361. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thoroughx1x2x31428425670SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 362.6162.6362.611. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thoroughx1x2x31224364860Min: 62.59 / Avg: 62.61 / Max: 62.64Min: 62.59 / Avg: 62.63 / Max: 62.65Min: 62.59 / Avg: 62.61 / Max: 62.631. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustivex1x2x3110220330440550SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3508.78509.08508.861. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustivex1x2x390180270360450Min: 508.69 / Avg: 508.78 / Max: 508.86Min: 508.99 / Avg: 509.08 / Max: 509.21Min: 508.63 / Avg: 508.86 / Max: 509.091. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

11 Results Shown

NAMD
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive