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 Suite 10.8.4Intel 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 Suite 10.8.4100%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 1Laptop 2Laptop 30.78581.57162.35743.14323.929SE +/- 0.03612, N = 8SE +/- 0.00075, N = 3SE +/- 0.00591, N = 33.449223.469103.49233
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLaptop 1Laptop 2Laptop 3246810Min: 3.2 / Avg: 3.45 / Max: 3.51Min: 3.47 / Avg: 3.47 / Max: 3.47Min: 3.48 / Avg: 3.49 / Max: 3.5

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 1Laptop 2Laptop 380K160K240K320K400KSE +/- 720.67, N = 3SE +/- 695.98, N = 3SE +/- 582.40, N = 3367846367670368804
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLaptop 1Laptop 2Laptop 360K120K180K240K300KMin: 366436 / Avg: 367846.33 / Max: 368809Min: 366348 / Avg: 367670.33 / Max: 368708Min: 367763 / Avg: 368804.33 / Max: 369777

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Laptop 1Laptop 2Laptop 31.1M2.2M3.3M4.4M5.5MSE +/- 15875.31, N = 3SE +/- 9332.02, N = 3SE +/- 6401.89, N = 3535858353428835355280
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Laptop 1Laptop 2Laptop 3900K1800K2700K3600K4500KMin: 5328630 / Avg: 5358583.33 / Max: 5382680Min: 5332690 / Avg: 5342883.33 / Max: 5361520Min: 5342510 / Avg: 5355280 / Max: 5362470

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLaptop 1Laptop 2Laptop 370K140K210K280K350KSE +/- 116.66, N = 3SE +/- 481.89, N = 3SE +/- 524.07, N = 3321171321092320720
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLaptop 1Laptop 2Laptop 360K120K180K240K300KMin: 320966 / Avg: 321170.67 / Max: 321370Min: 320129 / Avg: 321091.67 / Max: 321613Min: 320017 / Avg: 320720.33 / Max: 321745

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLaptop 1Laptop 2Laptop 350K100K150K200K250KSE +/- 209.04, N = 3SE +/- 523.57, N = 3SE +/- 23.43, N = 3253671254321255161
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLaptop 1Laptop 2Laptop 340K80K120K160K200KMin: 253305 / Avg: 253671 / Max: 254029Min: 253318 / Avg: 254321 / Max: 255083Min: 255122 / Avg: 255161 / Max: 255203

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLaptop 1Laptop 2Laptop 360K120K180K240K300KSE +/- 886.52, N = 3SE +/- 77.13, N = 3SE +/- 117.48, N = 3257833258416260067
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLaptop 1Laptop 2Laptop 350K100K150K200K250KMin: 256157 / Avg: 257833 / Max: 259172Min: 258285 / Avg: 258415.67 / Max: 258552Min: 259901 / Avg: 260067 / Max: 260294

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Laptop 1Laptop 2Laptop 31000K2000K3000K4000K5000KSE +/- 9265.21, N = 3SE +/- 15597.31, N = 3SE +/- 4683.96, N = 3483460348456734840253
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Laptop 1Laptop 2Laptop 3800K1600K2400K3200K4000KMin: 4820630 / Avg: 4834603.33 / Max: 4852130Min: 4821420 / Avg: 4845673.33 / Max: 4874790Min: 4832940 / Avg: 4840253.33 / Max: 4848980