Xeon E-2288G Deep Learning

Intel Xeon E-2288G testing with a Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS) and NVIDIA Quadro RTX 4000 8GB on Ubuntu 19.10 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 2009188-NI-XEONE228891
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Result
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Performance Per
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Date
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  Test
  Duration
Xeon E-2288G
September 18 2020
  1 Hour, 56 Minutes
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Xeon E-2288G Deep LearningOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads)Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS)Intel Cannon Lake PCH2 x 32 GB DDR4-2667MT/s Samsung M378A4G43MB1-CTDSamsung SSD 970 EVO Plus 250GBNVIDIA Quadro RTX 4000 8GBIntel Cannon Lake PCH cAVSVE228Intel I219-LM + Intel I210Ubuntu 19.105.3.0-64-generic (x86_64)GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.5GCC 11.0.0 20200917ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionXeon E-2288G Deep Learning BenchmarksSystem Logs- --disable-multilib --enable-checking=release --enable-languages=c,c++,fortran - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- itlb_multihit: KVM: Mitigation of Split huge pages + 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: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Xeon E-2288G Deep Learningmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3Xeon E-2288G6.40941.9553.5356.94043.78817.444.183.224.281.5954.02110.1625.0415.09114.1418.87OpenBenchmarking.org

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Xeon E-2288G246810SE +/- 0.015, N = 36.409MIN: 6.16 / MAX: 11.381. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Xeon E-2288G1020304050SE +/- 0.29, N = 341.96MIN: 35.94 / MAX: 73.931. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Xeon E-2288G0.79541.59082.38623.18163.977SE +/- 0.115, N = 33.535MIN: 3.13 / MAX: 15.721. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Xeon E-2288G246810SE +/- 0.207, N = 36.940MIN: 6.43 / MAX: 18.371. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Xeon E-2288G1020304050SE +/- 0.07, N = 343.79MIN: 43.34 / MAX: 55.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Xeon E-2288G48121620SE +/- 0.07, N = 317.44MIN: 17.17 / MAX: 25.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Xeon E-2288G0.94051.8812.82153.7624.7025SE +/- 0.11, N = 34.18MIN: 3.93 / MAX: 4.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetXeon E-2288G0.72451.4492.17352.8983.6225SE +/- 0.14, N = 33.22MIN: 2.89 / MAX: 3.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetXeon E-2288G0.9631.9262.8893.8524.815SE +/- 0.01, N = 34.28MIN: 4.14 / MAX: 4.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceXeon E-2288G0.35780.71561.07341.43121.789SE +/- 0.00, N = 31.59MIN: 1.53 / MAX: 1.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Xeon E-2288G1224364860SE +/- 0.45, N = 354.02MIN: 53.22 / MAX: 57.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Xeon E-2288G20406080100SE +/- 0.09, N = 3110.16MIN: 109.3 / MAX: 119.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Xeon E-2288G612182430SE +/- 0.07, N = 325.04MIN: 24.69 / MAX: 34.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetXeon E-2288G48121620SE +/- 0.01, N = 315.09MIN: 14.98 / MAX: 15.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Xeon E-2288G306090120150SE +/- 0.18, N = 3114.14MIN: 113.61 / MAX: 122.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Xeon E-2288G510152025SE +/- 0.07, N = 318.87MIN: 18.64 / MAX: 19.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread