TNN

Intel Core i9-8950HK testing with a MSI MS-17A3 (E17A3IMS.113 BIOS) and MSI NVIDIA GeForce GTX 1080 8GB 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 2107262-IB-TNN45991372
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Date
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  Test
  Duration
07262021_1200
July 26 2021
  16 Minutes
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TNNOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-8950HK @ 4.80GHz (6 Cores / 12 Threads)MSI MS-17A3 (E17A3IMS.113 BIOS)Intel Cannon Lake PCH64GB512GB SAMSUNG MZVLW512HMJP-00000 + 2000GB Sabrent Rocket 4.0 2TB + 1000GB HGST HTS721010A9MSI NVIDIA GeForce GTX 1080 8GBRealtek ALC12202 x HP LP2480zxAquantia AQC107 NBase-T/IEEE + Intel-AC 9260Ubuntu 20.045.8.0-63-generic (x86_64)GNOME Shell 3.36.9X Server 1.20.9NVIDIA 460.91.034.6.0GCC 9.3.0ext43840x2400ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionTNN BenchmarksSystem Logs- nvme_core.default_ps_max_latency_us=0 kvm.ignore_msrs=1 - Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xea - Thermald 1.9.1- itlb_multihit: KVM: Mitigation of VMX disabled + 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 + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

TNNtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.107262021_12003762.657349.89773.376304.270OpenBenchmarking.org

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet07262021_12008001600240032004000SE +/- 14.13, N = 33762.66MIN: 3599.69 / MAX: 4111.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v207262021_120080160240320400SE +/- 1.04, N = 3349.90MIN: 330.5 / MAX: 394.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v207262021_12001632486480SE +/- 0.09, N = 373.38MIN: 70.42 / MAX: 84.571. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.107262021_120070140210280350SE +/- 2.91, N = 3304.27MIN: 290.2 / MAX: 359.751. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl