Ryzen 3 1200 Old

AMD Ryzen 3 1200 testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.90 BIOS) and AMD FirePro V3800 512MB on Ubuntu 18.04 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 2004103-NI-RYZEN312029
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Ryzen 3 1200 OldOpenBenchmarking.orgPhoronix Test Suite 10.2.2AMD Ryzen 3 1200 @ 3.10GHz (4 Cores)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.90 BIOS)AMD 17h8GB120GB ADATA SU700AMD FirePro V3800 512MBAMD Redwood HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 18.044.19.0-999-generic (x86_64) 20181025GNOME Shell 3.26.2X Server 1.19.5 + Waylandmodesetting 1.19.53.3 Mesa 17.2.4 (LLVM 5.0.0)GCC 7.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionRyzen 3 1200 Old BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001129 - Python 2.7.14+ + Python 3.6.4- l1tf: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline RSB filling

Ryzen 3 1200 Oldnamd: ATPase Simulation - 327,506 Atomsamg: botan: KASUMIbotan: AES-256botan: Twofishbotan: Blowfishbotan: CAST-256arrayfire: BLAS CPUarrayfire: Conjugate Gradient CPUmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Recurrent Neural Network Inference - f32oidn: MemorialAMD Ryzen 3 12006.96072468299.378.7444699.564298.994371.659120.91295.466331.0216.5645201.98719.904428.7458998.513161.9471.67OpenBenchmarking.org

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.13ATPase Simulation - 327,506 AtomsAMD Ryzen 3 1200246810SE +/- 0.00919, N = 36.96072

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkAMD Ryzen 3 1200100K200K300K400K500KSE +/- 1215.18, N = 3468299.31. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIAMD Ryzen 3 120020406080100SE +/- 0.05, N = 378.741. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256AMD Ryzen 3 120010002000300040005000SE +/- 1.80, N = 34699.561. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishAMD Ryzen 3 120070140210280350SE +/- 0.39, N = 3298.991. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishAMD Ryzen 3 120080160240320400SE +/- 0.16, N = 3371.661. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256AMD Ryzen 3 1200306090120150SE +/- 0.11, N = 3120.911. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUAMD Ryzen 3 120020406080100SE +/- 0.07, N = 395.471. (CXX) g++ options: -rdynamic

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUAMD Ryzen 3 1200714212835SE +/- 0.33, N = 331.021. (CXX) g++ options: -rdynamic

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32AMD Ryzen 3 120048121620SE +/- 0.09, N = 316.56MIN: 16.171. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32AMD Ryzen 3 12004080120160200SE +/- 0.32, N = 3201.99MIN: 197.851. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD Ryzen 3 1200510152025SE +/- 0.15, N = 319.90MIN: 19.291. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD Ryzen 3 1200714212835SE +/- 0.24, N = 328.75MIN: 27.581. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32AMD Ryzen 3 12002004006008001000SE +/- 13.23, N = 6998.51MIN: 952.061. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32AMD Ryzen 3 12004080120160200SE +/- 1.37, N = 3161.95MIN: 158.111. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialAMD Ryzen 3 12000.37580.75161.12741.50321.879SE +/- 0.00, N = 31.67


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