tnn 0905

HiSilicon TSV110 testing with a Huawei TaiShan 200 (Model 2280) BC82AMDDRA (1.86 BIOS) and Huawei Hi171x [iBMC Intelligent Management chip w/VGA support] on Ubuntu 22.04 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 2409064-NE-TNN09057630
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent
September 06
  24 Minutes
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tnn 0905OpenBenchmarking.orgPhoronix Test SuiteHiSilicon TSV110 (96 Cores)Huawei TaiShan 200 (Model 2280) BC82AMDDRA (1.86 BIOS)Huawei HiSilicon1008GB2 x 1200GB Seagate ST1200MM0009Huawei Hi171x [iBMC Intelligent Management chip w/VGA support]8 x Huawei HNS GE/10GE/25GEUbuntu 22.045.15.0-119-generic (aarch64)1.3.255GCC 11.4.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelVulkanCompilerFile-SystemScreen ResolutionTnn 0905 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --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-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

tnn 0905tnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent5408.197530.156534.435129.167OpenBenchmarking.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: DenseNetHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent12002400360048006000SE +/- 29.87, N = 35408.20MIN: 5170.11 / MAX: 5725.681. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent110220330440550SE +/- 0.15, N = 3530.16MIN: 524.99 / MAX: 539.441. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent120240360480600SE +/- 0.81, N = 3534.44MIN: 532.54 / MAX: 538.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent306090120150SE +/- 0.05, N = 3129.17MIN: 128.28 / MAX: 130.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl