y-cruncher mnn AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon Pro W7900 45GB on Pop 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2408119-PTS-YCRUNCHE39&sro&gru .
y-cruncher mnn 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 @ 5.37GHz (64 Cores / 128 Threads) System76 Thelio Major (FA Z5 BIOS) AMD Device 14a4 4 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA2 1000GB CT1000T700SSD5 + 257GB Flash Drive AMD Radeon Pro W7900 45GB AMD Device 14cc DELL P2415Q Aquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6E Pop 24.04 6.9.3-76060903-generic (x86_64) COSMIC 0.1.0 Wayland 4.6 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6 DRM 3.57) GCC 13.2.0 ext4 1920x1080 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
y-cruncher mnn mnn: nasnet mnn: mobilenetV3 mnn: squeezenetv1.1 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 y-cruncher: 1B y-cruncher: 500M a b c 16.714 2.461 4.838 10.448 5.644 3.838 3.037 28.626 10.907 5.324 16.674 2.508 4.838 10.537 5.574 3.852 3.038 28.483 10.911 5.338 16.484 2.490 4.858 10.632 5.548 3.795 3.040 28.636 10.915 5.337 OpenBenchmarking.org
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: nasnet a b c 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 16.71 16.67 16.48 MIN: 15.59 / MAX: 19.43 MIN: 15.67 / MAX: 19.26 MIN: 14.6 / MAX: 19.5 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 2.9.b11b7037d Model: mobilenetV3 a b c 0.5643 1.1286 1.6929 2.2572 2.8215 SE +/- 0.014, N = 3 SE +/- 0.008, N = 3 SE +/- 0.026, N = 3 2.461 2.508 2.490 MIN: 2.25 / MAX: 4.66 MIN: 2.3 / MAX: 5.11 MIN: 2.26 / MAX: 4.9 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 2.9.b11b7037d Model: squeezenetv1.1 a b c 1.0931 2.1862 3.2793 4.3724 5.4655 SE +/- 0.052, N = 3 SE +/- 0.030, N = 3 SE +/- 0.051, N = 3 4.838 4.838 4.858 MIN: 4.45 / MAX: 6.32 MIN: 4.49 / MAX: 6.61 MIN: 4.45 / MAX: 6.09 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 2.9.b11b7037d Model: resnet-v2-50 a b c 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 10.45 10.54 10.63 MIN: 9.78 / MAX: 12.74 MIN: 9.95 / MAX: 12.55 MIN: 9.93 / MAX: 13.21 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: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 a b c 1.2699 2.5398 3.8097 5.0796 6.3495 SE +/- 0.077, N = 3 SE +/- 0.023, N = 3 SE +/- 0.147, N = 3 5.644 5.574 5.548 MIN: 5.23 / MAX: 7.25 MIN: 5.22 / MAX: 8.46 MIN: 4.83 / MAX: 8.42 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 2.9.b11b7037d Model: MobileNetV2_224 a b c 0.8667 1.7334 2.6001 3.4668 4.3335 SE +/- 0.025, N = 3 SE +/- 0.011, N = 3 SE +/- 0.017, N = 3 3.838 3.852 3.795 MIN: 3.37 / MAX: 5.29 MIN: 3.62 / MAX: 7.46 MIN: 3.38 / MAX: 5.22 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 2.9.b11b7037d Model: mobilenet-v1-1.0 a b c 0.684 1.368 2.052 2.736 3.42 SE +/- 0.028, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 3.037 3.038 3.040 MIN: 2.73 / MAX: 4.93 MIN: 2.78 / MAX: 5.92 MIN: 2.76 / MAX: 4.12 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: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: inception-v3 a b c 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 28.63 28.48 28.64 MIN: 27.76 / MAX: 31.72 MIN: 27.74 / MAX: 31.77 MIN: 27.74 / MAX: 32.54 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
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B a b c 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 10.91 10.91 10.92
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M a b c 1.2011 2.4022 3.6033 4.8044 6.0055 SE +/- 0.002, N = 3 SE +/- 0.017, N = 3 SE +/- 0.003, N = 3 5.324 5.338 5.337
Phoronix Test Suite v10.8.5