9750H

Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and 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 2008238-FI-9750H958622
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Laptop 1
August 23 2020
  51 Minutes
Laptop 2
August 23 2020
  37 Minutes
Laptop 3
August 23 2020
  37 Minutes
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9750HOpenBenchmarking.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 1TBIntel UHD 630 3GB (1150MHz)Realtek ALC1220Realtek RTL8111/8168/8411 + Intel-AC 9560Ubuntu 20.045.7.0-999-generic (x86_64) 20200530GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution9750H BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- 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

Laptop 1Laptop 2Laptop 3Result OverviewPhoronix Test Suite100%100%101%101%NAMDTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteATPase Simulation - 327,506 AtomsMobilenet QuantMobilenet FloatSqueezeNetInception V4I.R.VNASNet Mobile

9750Hnamd: ATPase Simulation - 327,506 Atomstensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2Laptop 1Laptop 2Laptop 33.44922367846535858332117125367125783348346033.46910367670534288332109225432125841648456733.4923336880453552803207202551612600674840253OpenBenchmarking.org

NAMD

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLaptop 3Laptop 2Laptop 10.78581.57162.35743.14323.929SE +/- 0.00591, N = 3SE +/- 0.00075, N = 3SE +/- 0.03612, N = 83.492333.469103.44922
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLaptop 3Laptop 2Laptop 1246810Min: 3.48 / Avg: 3.49 / Max: 3.5Min: 3.47 / Avg: 3.47 / Max: 3.47Min: 3.2 / Avg: 3.45 / Max: 3.51

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: SqueezeNetLaptop 3Laptop 2Laptop 180K160K240K320K400KSE +/- 582.40, N = 3SE +/- 695.98, N = 3SE +/- 720.67, N = 3368804367670367846
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLaptop 3Laptop 2Laptop 160K120K180K240K300KMin: 367763 / Avg: 368804.33 / Max: 369777Min: 366348 / Avg: 367670.33 / Max: 368708Min: 366436 / Avg: 367846.33 / Max: 368809

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Laptop 3Laptop 2Laptop 11.1M2.2M3.3M4.4M5.5MSE +/- 6401.89, N = 3SE +/- 9332.02, N = 3SE +/- 15875.31, N = 3535528053428835358583
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Laptop 3Laptop 2Laptop 1900K1800K2700K3600K4500KMin: 5342510 / Avg: 5355280 / Max: 5362470Min: 5332690 / Avg: 5342883.33 / Max: 5361520Min: 5328630 / Avg: 5358583.33 / Max: 5382680

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLaptop 3Laptop 2Laptop 170K140K210K280K350KSE +/- 524.07, N = 3SE +/- 481.89, N = 3SE +/- 116.66, N = 3320720321092321171
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLaptop 3Laptop 2Laptop 160K120K180K240K300KMin: 320017 / Avg: 320720.33 / Max: 321745Min: 320129 / Avg: 321091.67 / Max: 321613Min: 320966 / Avg: 321170.67 / Max: 321370

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLaptop 3Laptop 2Laptop 150K100K150K200K250KSE +/- 23.43, N = 3SE +/- 523.57, N = 3SE +/- 209.04, N = 3255161254321253671
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLaptop 3Laptop 2Laptop 140K80K120K160K200KMin: 255122 / Avg: 255161 / Max: 255203Min: 253318 / Avg: 254321 / Max: 255083Min: 253305 / Avg: 253671 / Max: 254029

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLaptop 3Laptop 2Laptop 160K120K180K240K300KSE +/- 117.48, N = 3SE +/- 77.13, N = 3SE +/- 886.52, N = 3260067258416257833
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLaptop 3Laptop 2Laptop 150K100K150K200K250KMin: 259901 / Avg: 260067 / Max: 260294Min: 258285 / Avg: 258415.67 / Max: 258552Min: 256157 / Avg: 257833 / Max: 259172

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Laptop 3Laptop 2Laptop 11000K2000K3000K4000K5000KSE +/- 4683.96, N = 3SE +/- 15597.31, N = 3SE +/- 9265.21, N = 3484025348456734834603
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Laptop 3Laptop 2Laptop 1800K1600K2400K3200K4000KMin: 4832940 / Avg: 4840253.33 / Max: 4848980Min: 4821420 / Avg: 4845673.33 / Max: 4874790Min: 4820630 / Avg: 4834603.33 / Max: 4852130