TNNTEST1

Intel Core i9-12900K testing with a ASUS TUF GAMING Z690-PLUS WIFI D4 (2103 BIOS) and eVGA NVIDIA GeForce GTX 1080 Ti on Ubuntu 22.10 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 2211284-NE-TNNTEST1312
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
TNNTEST1-11282022
November 28 2022
  8 Minutes
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TNNTEST1OpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-12900K @ 3.90GHz (16 Cores / 24 Threads)ASUS TUF GAMING Z690-PLUS WIFI D4 (2103 BIOS)Intel Alder Lake-S PCH64GB2000GB Samsung SSD 970 EVO Plus 2TB + 1024GB SanDisk SDSSDH3 + 1000GB Samsung SSD 840 + 32GB ExtremeeVGA NVIDIA GeForce GTX 1080 TiRealtek ALC897ROG PG279Q + DELL P2715QIntel I225-V + Intel Alder Lake-S PCH CNVi WiFiUbuntu 22.105.19.0-21-generic (x86_64)GNOME Shell 43.0X Server 1.21.1.4nouveauGCC 12.2.0overlayfs6400x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionTNNTEST1 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --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 (EPP: balance_performance) - CPU Microcode: 0x25 - Thermald 2.5.1- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

TNNTEST1tnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1TNNTEST1-112820221781.257184.71439.398137.364OpenBenchmarking.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: DenseNetTNNTEST1-11282022400800120016002000SE +/- 6.84, N = 31781.26MIN: 1700.73 / MAX: 1911.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2TNNTEST1-112820224080120160200SE +/- 0.96, N = 3184.71MIN: 169.36 / MAX: 268.711. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2TNNTEST1-11282022918273645SE +/- 0.26, N = 339.40MIN: 38.77 / MAX: 40.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1TNNTEST1-11282022306090120150SE +/- 0.07, N = 3137.36MIN: 136.96 / MAX: 137.881. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl