mint5950xbaseline AMD Ryzen 9 5950X 16-Core testing with a ASUS TUF GAMING X570-PLUS_BR (5021 BIOS) and Gigabyte NVIDIA GeForce RTX 2060 6GB on Linuxmint 22 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2412232-NE-MINT5950X06&sro .
mint5950xbaseline Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver Compiler File-System Screen Resolution OpenGL OpenCL no_ac AMD Ryzen 9 5950X 16-Core AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) ASUS TUF GAMING X570-PLUS_BR (5021 BIOS) AMD Starship/Matisse 2 x 8 GB DDR4-3600MT/s G Skill F4-3600C17-8GVK 1000GB KINGSTON SNV3S1000G + 480GB Corsair Force MP510 + 120GB SanDisk SDSSDA12 + 1000GB Seagate ST1000DM003-1ER1 + 500GB Seagate ST3500418AS Gigabyte NVIDIA GeForce RTX 2060 6GB NVIDIA TU106 HD Audio DELL P2421D Realtek RTL8111/8168/8211/8411 + Broadcom BCM4360 802.11ac Dual Band Linuxmint 22 6.8.0-49-generic (x86_64) Cinnamon 6.2.9 X Server 1.21.1.11 NVIDIA 550.120 GCC 13.3.0 ext4 4480x1440 6.8.0-51-generic (x86_64) NVIDIA 565.57.01 4.6.0 OpenCL 3.0 CUDA 12.7.33 GCC 14.1.0 + Clang 18.1.3 + LLVM 18.1.3 2 x 16 GB DDR4-3600MT/s G Skill F4-3600C18-16GTZR 1000GB KINGSTON SNV3S1000G + 480GB Corsair Force MP510 + 120GB SanDisk SDSSDA12 + 1000GB Seagate ST1000DM003-1ER1 + 500GB Seagate ST3500418AS + 62GB Cruzer Blade Clang 18.1.3 + LLVM 18.1.3 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - no_ac: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-fG75Ri/gcc-13-13.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-fG75Ri/gcc-13-13.3.0/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-build-config=bootstrap-lto-lean --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 - no_ac: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201210 - AMD Ryzen 9 5950X 16-Core: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201210 - AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce: Scaling Governor: acpi-cpufreq conservative (Boost: Enabled) - CPU Microcode: 0xa201210 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 Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected OpenCL Details - AMD Ryzen 9 5950X 16-Core: GPU Compute Cores: 1920 Python Details - AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce: Python 3.12.3
mint5950xbaseline mrbayes: Primate Phylogeny Analysis rodinia: OpenMP HotSpot3D rodinia: OpenMP Leukocyte rodinia: OpenMP CFD Solver rodinia: OpenMP Streamcluster rodinia: OpenCL Particle Filter namd: ATPase with 327,506 Atoms namd: STMV with 1,066,628 Atoms sysbench: RAM / Memory sysbench: CPU pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 512 - Efficientnet_v2_l pytorch: NVIDIA CUDA GPU - 512 - ResNet-50 pytorch: NVIDIA CUDA GPU - 512 - ResNet-152 pytorch: NVIDIA CUDA GPU - 512 - Efficientnet_v2_l no_ac AMD Ryzen 9 5950X 16-Core AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce 96.956 66.897 68.538 14.726 18.473 10.148 0.97196 0.25761 13780.65 81322.11 30.69 12.14 7.41 131.43 47.97 38.92 OpenBenchmarking.org
Timed MrBayes Analysis Primate Phylogeny Analysis OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis no_ac 20 40 60 80 100 SE +/- 0.42, N = 3 96.96 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
Rodinia Test: OpenMP HotSpot3D OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D AMD Ryzen 9 5950X 16-Core 15 30 45 60 75 SE +/- 0.68, N = 6 66.90 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Leukocyte OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte AMD Ryzen 9 5950X 16-Core 15 30 45 60 75 SE +/- 0.04, N = 3 68.54 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP CFD Solver OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver AMD Ryzen 9 5950X 16-Core 4 8 12 16 20 SE +/- 0.19, N = 3 14.73 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Streamcluster OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster AMD Ryzen 9 5950X 16-Core 5 10 15 20 25 SE +/- 0.27, N = 15 18.47 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenCL Particle Filter OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenCL Particle Filter AMD Ryzen 9 5950X 16-Core 3 6 9 12 15 SE +/- 0.08, N = 3 10.15 1. (CXX) g++ options: -O2 -lOpenCL
NAMD Input: ATPase with 327,506 Atoms OpenBenchmarking.org ns/day, More Is Better NAMD 3.0 Input: ATPase with 327,506 Atoms AMD Ryzen 9 5950X 16-Core 0.2187 0.4374 0.6561 0.8748 1.0935 SE +/- 0.00078, N = 3 0.97196
NAMD Input: STMV with 1,066,628 Atoms OpenBenchmarking.org ns/day, More Is Better NAMD 3.0 Input: STMV with 1,066,628 Atoms AMD Ryzen 9 5950X 16-Core 0.058 0.116 0.174 0.232 0.29 SE +/- 0.00026, N = 3 0.25761
Sysbench Test: RAM / Memory OpenBenchmarking.org MiB/sec, More Is Better Sysbench 1.0.20 Test: RAM / Memory AMD Ryzen 9 5950X 16-Core 3K 6K 9K 12K 15K SE +/- 12.34, N = 3 13780.65 1. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
Sysbench Test: CPU OpenBenchmarking.org Events Per Second, More Is Better Sysbench 1.0.20 Test: CPU AMD Ryzen 9 5950X 16-Core 20K 40K 60K 80K 100K SE +/- 79.86, N = 3 81322.11 1. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce 7 14 21 28 35 SE +/- 0.58, N = 15 30.69 MIN: 19.29 / MAX: 35.62
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce 3 6 9 12 15 SE +/- 0.37, N = 9 12.14 MIN: 9.43 / MAX: 14.05
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce 2 4 6 8 10 SE +/- 0.12, N = 9 7.41 MIN: 5.91 / MAX: 8.25
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce 30 60 90 120 150 SE +/- 1.35, N = 15 131.43 MIN: 115.5 / MAX: 146.59
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce 11 22 33 44 55 SE +/- 0.22, N = 3 47.97 MIN: 37.54 / MAX: 55.53
PyTorch Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce 9 18 27 36 45 SE +/- 0.11, N = 3 38.92 MIN: 34.17 / MAX: 40.54
Phoronix Test Suite v10.8.5