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.

HTML result view exported from: https://openbenchmarking.org/result/2008238-FI-9750H958622.

9750HProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLaptop 1Laptop 2Laptop 3Intel 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 9.3.0ext41920x1080OpenBenchmarking.orgProcessor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6Security Details- 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

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

ATPase Simulation - 327,506 Atoms

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

TensorFlow Lite

Model: SqueezeNet

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

TensorFlow Lite

Model: Inception V4

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

TensorFlow Lite

Model: NASNet Mobile

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

TensorFlow Lite

Model: Mobilenet Float

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

TensorFlow Lite

Model: Mobilenet Quant

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

TensorFlow Lite

Model: Inception ResNet V2

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

Phoronix Test Suite v10.8.4