TNN Haswell

Intel Core i7-4558U testing with a ASUS UX301LAA v1.0 (UX301LAA.209 BIOS) and ASUS Intel Iris 5100 2GB 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 2009244-FI-TNNHASWEL60
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September 24 2020
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September 24 2020
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TNN HaswellProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i7-4558U @ 3.30GHz (2 Cores / 4 Threads)ASUS UX301LAA v1.0 (UX301LAA.209 BIOS)Intel Haswell-ULT DRAM8GB2 x 128GB SanDisk SD6SP1M1ASUS Intel Iris 5100 2GB (1200MHz)Intel Haswell-ULT HD AudioLQ133T1JW14Intel 7260Ubuntu 20.045.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8GCC 9.3.0ext42560x1440OpenBenchmarking.orgCompiler Details- --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,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 Processor Details- Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x26Security Details- itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Mitigation of PTE Inversion + 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: Not affected

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 0.2.3Target: CPU - Model: MobileNet v212380160240320400SE +/- 0.69, N = 3SE +/- 0.52, N = 3SE +/- 0.61, N = 3355.93355.50355.74MIN: 352.93 / MAX: 381.21MIN: 352.44 / MAX: 374.05MIN: 352.38 / MAX: 374.251. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 354.75 / Avg: 355.93 / Max: 357.15Min: 354.61 / Avg: 355.5 / Max: 356.4Min: 354.97 / Avg: 355.74 / Max: 356.951. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350SE +/- 0.59, N = 3SE +/- 0.31, N = 3SE +/- 0.05, N = 3341.05335.33335.46MIN: 336.02 / MAX: 349.46MIN: 333.72 / MAX: 355.43MIN: 333.94 / MAX: 343.51. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 340.13 / Avg: 341.05 / Max: 342.14Min: 334.79 / Avg: 335.33 / Max: 335.84Min: 335.39 / Avg: 335.46 / Max: 335.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl