PLA

Intel Core m3-7Y30 testing with a LattePanda Alpha (CDJQ-BS-7-S70KR200-K65A-101-B1 BIOS) and inteldrmfb on Ubuntu 18.04 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 1812213-SP-PLA13460454
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
tensorflow
December 21 2018
  13 Minutes

tensorflow

Processor: Intel Core m3-7Y30 @ 2.60GHz (2 Cores / 4 Threads), Motherboard: LattePanda Alpha (CDJQ-BS-7-S70KR200-K65A-101-B1 BIOS), Chipset: Intel Device 590c, Memory: 8192MB, Disk: 240GB Western Digital WDS240G2G0B + 63GB DF4064, Graphics: inteldrmfb (900MHz), Audio: Realtek ALC269VC, Monitor: PHL 243V5, Network: Realtek RTL8111/8168/8411 + Intel Wireless 3165

OS: Ubuntu 18.04, Kernel: 4.15.0-43-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: modesetting 1.19.6, Compiler: GCC 7.3.0, File-System: ext4, Screen Resolution: 1920x1080

Processor Notes: Scaling Governor: intel_pstate powersave
Python Notes: + Python 3.6.7
Security Notes: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + PTE Inversion; VMX: conditional cache flushes SMT vulnerable

PLAOpenBenchmarking.orgPhoronix Test SuiteIntel Core m3-7Y30 @ 2.60GHz (2 Cores / 4 Threads)LattePanda Alpha (CDJQ-BS-7-S70KR200-K65A-101-B1 BIOS)Intel Device 590c8192MB240GB Western Digital WDS240G2G0B + 63GB DF4064inteldrmfb (900MHz)Realtek ALC269VCPHL 243V5Realtek RTL8111/8168/8411 + Intel Wireless 3165Ubuntu 18.044.15.0-43-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6modesetting 1.19.6GCC 7.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionPLA BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave- + Python 3.6.7- KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + PTE Inversion; VMX: conditional cache flushes SMT vulnerable

Tensorflow

This is a benchmark of the Tensorflow deep learning framework using the CIFAR10 data set. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTensorflow 2017-02-03Build: Cifar10tensorflow4080120160200SE +/- 1.45, N = 3203.76

tensorflow

Processor: Intel Core m3-7Y30 @ 2.60GHz (2 Cores / 4 Threads), Motherboard: LattePanda Alpha (CDJQ-BS-7-S70KR200-K65A-101-B1 BIOS), Chipset: Intel Device 590c, Memory: 8192MB, Disk: 240GB Western Digital WDS240G2G0B + 63GB DF4064, Graphics: inteldrmfb (900MHz), Audio: Realtek ALC269VC, Monitor: PHL 243V5, Network: Realtek RTL8111/8168/8411 + Intel Wireless 3165

OS: Ubuntu 18.04, Kernel: 4.15.0-43-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: modesetting 1.19.6, Compiler: GCC 7.3.0, File-System: ext4, Screen Resolution: 1920x1080

Processor Notes: Scaling Governor: intel_pstate powersave
Python Notes: + Python 3.6.7
Security Notes: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + PTE Inversion; VMX: conditional cache flushes SMT vulnerable

Testing initiated at 21 December 2018 16:17 by user dab.