mnn3 AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon RX 6700 XT 12GB on Ubuntu 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2411182-PTS-MNN3123369&grr .
mnn3 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c AMD Ryzen Threadripper 7980X 64-Cores @ 7.79GHz (64 Cores / 128 Threads) System76 Thelio Major (FA Z5 BIOS) AMD Device 14a4 4 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA2 1000GB CT1000T700SSD5 AMD Radeon RX 6700 XT 12GB AMD Device 14cc DELL P2415Q Aquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6E Ubuntu 24.04 6.8.0-48-generic (x86_64) GNOME Shell 46.0 X Server + Wayland 4.6 Mesa 24.0.9-0ubuntu0.2 (LLVM 17.0.6 DRM 3.57) GCC 13.2.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --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-backtrace --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-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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 Processor Details - Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa108105 Security Details - 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: Mitigation of Safe RET + 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 / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
mnn3 mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: squeezenetv1.1 mnn: mobilenetV3 mnn: nasnet a b c 36.092 4.006 3.488 6.138 18.356 4.074 2.566 15.026 36.107 3.977 3.414 6.044 18.398 4.200 2.574 15.163 36.099 3.988 3.509 6.052 18.423 4.227 2.576 15.200 OpenBenchmarking.org
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: inception-v3 a b c 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 36.09 36.11 36.10 MIN: 35.78 / MAX: 46.63 MIN: 35.82 / MAX: 52.12 MIN: 35.87 / MAX: 55.59 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: mobilenet-v1-1.0 a b c 0.9014 1.8028 2.7042 3.6056 4.507 SE +/- 0.030, N = 3 SE +/- 0.023, N = 3 SE +/- 0.020, N = 3 4.006 3.977 3.988 MIN: 3.84 / MAX: 4.6 MIN: 3.86 / MAX: 7 MIN: 3.87 / MAX: 6.73 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: MobileNetV2_224 a b c 0.7895 1.579 2.3685 3.158 3.9475 SE +/- 0.071, N = 3 SE +/- 0.022, N = 3 SE +/- 0.049, N = 3 3.488 3.414 3.509 MIN: 3.3 / MAX: 3.86 MIN: 3.3 / MAX: 5.16 MIN: 3.28 / MAX: 4.2 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: SqueezeNetV1.0 a b c 2 4 6 8 10 SE +/- 0.165, N = 3 SE +/- 0.041, N = 3 SE +/- 0.039, N = 3 6.138 6.044 6.052 MIN: 5.66 / MAX: 7.99 MIN: 5.84 / MAX: 9.04 MIN: 5.8 / MAX: 9.01 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: resnet-v2-50 a b c 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 18.36 18.40 18.42 MIN: 17.97 / MAX: 28.73 MIN: 18.03 / MAX: 28.75 MIN: 18.19 / MAX: 28.69 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Mobile Neural Network Model: squeezenetv1.1 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: squeezenetv1.1 a b c 0.9511 1.9022 2.8533 3.8044 4.7555 SE +/- 0.040, N = 3 SE +/- 0.071, N = 3 SE +/- 0.106, N = 3 4.074 4.200 4.227 MIN: 3.79 / MAX: 5.84 MIN: 3.77 / MAX: 5.17 MIN: 3.85 / MAX: 6.21 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Mobile Neural Network Model: mobilenetV3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: mobilenetV3 a b c 0.5796 1.1592 1.7388 2.3184 2.898 SE +/- 0.016, N = 3 SE +/- 0.030, N = 3 SE +/- 0.037, N = 3 2.566 2.574 2.576 MIN: 2.36 / MAX: 3.34 MIN: 2.38 / MAX: 3.28 MIN: 2.38 / MAX: 3.33 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 3.0 Model: nasnet a b c 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 15.03 15.16 15.20 MIN: 14.12 / MAX: 20.33 MIN: 14.18 / MAX: 15.91 MIN: 14.24 / MAX: 20.57 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl
Phoronix Test Suite v10.8.5