dundermifflinthisispam AMD Ryzen 9 5950X 16-Core testing with a Gigabyte X570 AORUS ELITE WIFI (F37d BIOS) and eVGA NVIDIA GeForce GTX 1060 6GB on Gentoo 2.8 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 2208140-QUAR-DUNDERM99 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: Gigabyte X570 AORUS ELITE WIFI (F37d BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16 GB DDR4-3733MT/s TEAMGROUP-UD4-3600, Disk: 2 x 1000GB Samsung SSD 980 PRO 1TB, Graphics: eVGA NVIDIA GeForce GTX 1060 6GB, Audio: NVIDIA GP106 HD Audio, Monitor: DELL 2707WFP, Network: Intel I211 + Intel Dual Band-AC 3168NGW
OS: Gentoo 2.8, Kernel: 5.19.1-gentoo-harambe-edition (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 515.65.01, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --bindir=/usr/x86_64-pc-linux-gnu/gcc-bin/11.3.0 --build=x86_64-pc-linux-gnu --datadir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0 --disable-cet --disable-default-ssp --disable-esp --disable-fixed-point --disable-isl-version-check --disable-libada --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-libvtv --disable-nls --disable-systemtap --disable-valgrind-annotations --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-languages=c,c++,go,fortran --enable-libgomp --enable-libstdcxx-time --enable-lto --enable-multilib --enable-obsolete --enable-secureplt --enable-shared --enable-targets=all --enable-threads=posix --host=x86_64-pc-linux-gnu --includedir=/usr/lib/gcc/x86_64-pc-linux-gnu/11.3.0/include --mandir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/man --with-build-config=bootstrap-lto --with-isl --with-multilib-list=m32,m64 --with-python-dir=/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/python --with-zstdProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016Security Notes: 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: Vulnerable IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Mobile Neural Network OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.0 Model: mobilenetV3 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.3715 0.743 1.1145 1.486 1.8575 SE +/- 0.012, N = 3 1.651 MIN: 1.58 / MAX: 4.63 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 -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.0 Model: squeezenetv1.1 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.7063 1.4126 2.1189 2.8252 3.5315 SE +/- 0.078, N = 3 3.139 MIN: 2.97 / MAX: 10.05 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 -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.0 Model: resnet-v2-50 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 5 10 15 20 25 SE +/- 0.02, N = 3 19.17 MIN: 18.02 / MAX: 24.69 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 -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.0 Model: SqueezeNetV1.0 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 1.1223 2.2446 3.3669 4.4892 5.6115 SE +/- 0.060, N = 3 4.988 MIN: 4.73 / MAX: 11.4 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 -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.0 Model: MobileNetV2_224 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.7445 1.489 2.2335 2.978 3.7225 SE +/- 0.044, N = 3 3.309 MIN: 3.12 / MAX: 22.36 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 -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.5249 1.0498 1.5747 2.0996 2.6245 SE +/- 0.052, N = 3 2.333 MIN: 2.22 / MAX: 5.3 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 -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.0 Model: inception-v3 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 5 10 15 20 25 SE +/- 0.10, N = 3 22.87 MIN: 21.98 / MAX: 59.27 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 -rdynamic -pthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mobilenet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 3 6 9 12 15 SE +/- 0.11, N = 3 10.05 MIN: 9.52 / MAX: 33.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.9045 1.809 2.7135 3.618 4.5225 SE +/- 0.14, N = 3 4.02 MIN: 3.63 / MAX: 45.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.7718 1.5436 2.3154 3.0872 3.859 SE +/- 0.05, N = 3 3.43 MIN: 3.25 / MAX: 19.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.8843 1.7686 2.6529 3.5372 4.4215 SE +/- 0.02, N = 3 3.93 MIN: 3.8 / MAX: 6.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.792 1.584 2.376 3.168 3.96 SE +/- 0.05, N = 3 3.52 MIN: 3.35 / MAX: 5.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 1.1925 2.385 3.5775 4.77 5.9625 SE +/- 0.04, N = 3 5.30 MIN: 5.1 / MAX: 8.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 0.3623 0.7246 1.0869 1.4492 1.8115 SE +/- 0.01, N = 3 1.61 MIN: 1.54 / MAX: 3.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 3 6 9 12 15 SE +/- 0.15, N = 3 9.37 MIN: 8.87 / MAX: 29.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 7 14 21 28 35 SE +/- 0.43, N = 3 28.48 MIN: 27.13 / MAX: 71.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 2 4 6 8 10 SE +/- 0.17, N = 3 8.74 MIN: 8.18 / MAX: 11.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 2 4 6 8 10 SE +/- 0.29, N = 3 6.00 MIN: 5.34 / MAX: 61.68 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 4 8 12 16 20 SE +/- 0.17, N = 3 14.80 MIN: 14.22 / MAX: 54.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 4 8 12 16 20 SE +/- 0.29, N = 3 16.09 MIN: 15.32 / MAX: 40.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 3 6 9 12 15 SE +/- 0.09, N = 3 12.29 MIN: 11.56 / MAX: 60.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 3 6 9 12 15 SE +/- 0.19, N = 3 11.40 MIN: 10.83 / MAX: 33.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 30 60 90 120 150 SE +/- 1.49, N = 3 119.04 MIN: 114.51 / MAX: 227.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 1.0058 2.0116 3.0174 4.0232 5.029 SE +/- 0.20, N = 3 4.47 MIN: 3.96 / MAX: 7.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: Gigabyte X570 AORUS ELITE WIFI (F37d BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16 GB DDR4-3733MT/s TEAMGROUP-UD4-3600, Disk: 2 x 1000GB Samsung SSD 980 PRO 1TB, Graphics: eVGA NVIDIA GeForce GTX 1060 6GB, Audio: NVIDIA GP106 HD Audio, Monitor: DELL 2707WFP, Network: Intel I211 + Intel Dual Band-AC 3168NGW
OS: Gentoo 2.8, Kernel: 5.19.1-gentoo-harambe-edition (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 515.65.01, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --bindir=/usr/x86_64-pc-linux-gnu/gcc-bin/11.3.0 --build=x86_64-pc-linux-gnu --datadir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0 --disable-cet --disable-default-ssp --disable-esp --disable-fixed-point --disable-isl-version-check --disable-libada --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-libvtv --disable-nls --disable-systemtap --disable-valgrind-annotations --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-languages=c,c++,go,fortran --enable-libgomp --enable-libstdcxx-time --enable-lto --enable-multilib --enable-obsolete --enable-secureplt --enable-shared --enable-targets=all --enable-threads=posix --host=x86_64-pc-linux-gnu --includedir=/usr/lib/gcc/x86_64-pc-linux-gnu/11.3.0/include --mandir=/usr/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/man --with-build-config=bootstrap-lto --with-isl --with-multilib-list=m32,m64 --with-python-dir=/share/gcc-data/x86_64-pc-linux-gnu/11.3.0/python --with-zstdProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016Security Notes: 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: Vulnerable IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 14 August 2022 19:28 by user quark.