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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2412232-NE-MINT5950X06
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no_ac
December 16
  5 Minutes
AMD Ryzen 9 5950X 16-Core
December 17
  34 Minutes
AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce
December 23
  1 Hour, 29 Minutes
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  43 Minutes

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mint5950xbaselineProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionOpenGLOpenCLno_acAMD Ryzen 9 5950X 16-CoreAMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForceAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS TUF GAMING X570-PLUS_BR (5021 BIOS)AMD Starship/Matisse2 x 8 GB DDR4-3600MT/s G Skill F4-3600C17-8GVK1000GB KINGSTON SNV3S1000G + 480GB Corsair Force MP510 + 120GB SanDisk SDSSDA12 + 1000GB Seagate ST1000DM003-1ER1 + 500GB Seagate ST3500418ASGigabyte NVIDIA GeForce RTX 2060 6GBNVIDIA TU106 HD AudioDELL P2421DRealtek RTL8111/8168/8211/8411 + Broadcom BCM4360 802.11ac Dual BandLinuxmint 226.8.0-49-generic (x86_64)Cinnamon 6.2.9X Server 1.21.1.11NVIDIA 550.120GCC 13.3.0ext44480x14406.8.0-51-generic (x86_64)NVIDIA 565.57.014.6.0OpenCL 3.0 CUDA 12.7.33GCC 14.1.0 + Clang 18.1.3 + LLVM 18.1.32 x 16 GB DDR4-3600MT/s G Skill F4-3600C18-16GTZR1000GB KINGSTON SNV3S1000G + 480GB Corsair Force MP510 + 120GB SanDisk SDSSDA12 + 1000GB Seagate ST1000DM003-1ER1 + 500GB Seagate ST3500418AS + 62GB Cruzer BladeClang 18.1.3 + LLVM 18.1.3OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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: 0xa201210Security 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: 1920Python Details- AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce: Python 3.12.3

mint5950xbaselinemrbayes: Primate Phylogeny Analysisrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusterrodinia: OpenCL Particle Filternamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomssysbench: RAM / Memorysysbench: CPUpytorch: CPU - 512 - ResNet-50pytorch: CPU - 512 - ResNet-152pytorch: CPU - 512 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 512 - ResNet-50pytorch: NVIDIA CUDA GPU - 512 - ResNet-152pytorch: NVIDIA CUDA GPU - 512 - Efficientnet_v2_lno_acAMD Ryzen 9 5950X 16-CoreAMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce96.95666.89768.53814.72618.47310.1480.971960.2576113780.6581322.1130.6912.147.41131.4347.9738.92OpenBenchmarking.org

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny Analysisno_ac20406080100SE +/- 0.42, N = 396.961. (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

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

Test: OpenMP LavaMD

AMD Ryzen 9 5950X 16-Core: The test quit with a non-zero exit status. E: ./rodinia: 12: ./lavaMD: not found

Test: OpenCL Myocyte

AMD Ryzen 9 5950X 16-Core: The test quit with a non-zero exit status. E: ./rodinia: 45: ./myocyte.out: not found

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DAMD Ryzen 9 5950X 16-Core1530456075SE +/- 0.68, N = 666.901. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteAMD Ryzen 9 5950X 16-Core1530456075SE +/- 0.04, N = 368.541. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverAMD Ryzen 9 5950X 16-Core48121620SE +/- 0.19, N = 314.731. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterAMD Ryzen 9 5950X 16-Core510152025SE +/- 0.27, N = 1518.471. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterAMD Ryzen 9 5950X 16-Core3691215SE +/- 0.08, N = 310.151. (CXX) g++ options: -O2 -lOpenCL

Test: NVIDIA CUDA GPU Myocyte

AMD Ryzen 9 5950X 16-Core: The test quit with a non-zero exit status. E: ./rodinia: 53: ./myocyte.out: not found

NAMD

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: ATPase with 327,506 AtomsAMD Ryzen 9 5950X 16-Core0.21870.43740.65610.87481.0935SE +/- 0.00078, N = 30.97196

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: STMV with 1,066,628 AtomsAMD Ryzen 9 5950X 16-Core0.0580.1160.1740.2320.29SE +/- 0.00026, N = 30.25761

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / MemoryAMD Ryzen 9 5950X 16-Core3K6K9K12K15KSE +/- 12.34, N = 313780.651. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUAMD Ryzen 9 5950X 16-Core20K40K60K80K100KSE +/- 79.86, N = 381322.111. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce714212835SE +/- 0.58, N = 1530.69MIN: 19.29 / MAX: 35.62

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-152AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce3691215SE +/- 0.37, N = 912.14MIN: 9.43 / MAX: 14.05

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_lAMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce246810SE +/- 0.12, N = 97.41MIN: 5.91 / MAX: 8.25

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce306090120150SE +/- 1.35, N = 15131.43MIN: 115.5 / MAX: 146.59

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152AMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce1122334455SE +/- 0.22, N = 347.97MIN: 37.54 / MAX: 55.53

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_lAMD Ryzen 9 5950X 16-Core - Gigabyte NVIDIA GeForce918273645SE +/- 0.11, N = 338.92MIN: 34.17 / MAX: 40.54