Ryzen 9 3900X Pre 10.0 AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010132-PTS-RYZEN93929 .
Ryzen 9 3900X Pre 10.0 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution 1 2 3 AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads) ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) AMD Starship/Matisse 16GB Samsung SSD 970 EVO Plus 250GB MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1366/2000MHz) AMD Ellesmere HDMI Audio G237HL Realtek RTL8111/8168/8411 + Intel-AC 9260 Ubuntu 20.04 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.2.0-devel (git-64cdc13 2020-07-02 focal-oibaf-ppa) (LLVM 10.0.0) 1.2.131 GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Compiler Details - --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021 Graphics Details - GLAMOR Java Details - OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04) Python Details - Python 3.8.2 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 9 3900X Pre 10.0 vkfft: dolfyn: Computational Fluid Dynamics ffte: N=256, 3D Complex FFT Routine hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA byte: Dhrystone 2 rnnoise: couchdb: 100 - 1000 - 24 keydb: gromacs: Water Benchmark caffe: AlexNet - CPU - 100 caffe: AlexNet - CPU - 200 caffe: GoogleNet - CPU - 100 caffe: GoogleNet - CPU - 200 openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU hint: FLOAT mlpack: scikit_ica mlpack: scikit_qda mlpack: scikit_svm mlpack: scikit_linearridgeregression sunflow: Global Illumination + Image Synthesis 1 2 3 10507 15.877 36548.225249167 110.357 9.160 44523514.3 18.019 94.290 595609.78 1.110 54306 108633 132759 264588 2.75 2169.76 2.76 2165.18 2.05 2874.65 2.07 2842.38 9074.10 0.65 9058.69 0.65 399518329.17739 51.20 67.90 19.14 1.97 0.855 10519 15.746 36176.402504837 110.307 9.136 43727091.2 17.798 94.728 595688.85 1.122 54666 108994 133028 266399 2.74 2177.92 2.75 2173.64 2.06 2867.38 2.05 2875.88 9036.42 0.65 9019.95 0.65 389302269.03215 52.85 70.10 18.87 1.98 0.827 10513 15.813 35945.600188814 110.705 9.070 44693661.5 18.283 97.417 594773.28 1.107 54612 108848 133606 266015 2.74 2184.46 2.74 2175.36 2.05 2876.48 2.04 2912.37 9059.78 0.65 9028.01 0.65 396880391.01124 52.24 68.01 19.14 1.96 0.870 OpenBenchmarking.org
VkFFT OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 1 2 3 2K 4K 6K 8K 10K SE +/- 10.53, N = 3 SE +/- 2.08, N = 3 SE +/- 5.36, N = 3 10507 10519 10513
Dolfyn Computational Fluid Dynamics OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics 1 2 3 4 8 12 16 20 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 15.88 15.75 15.81
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine 1 2 3 8K 16K 24K 32K 40K SE +/- 25.04, N = 3 SE +/- 25.84, N = 3 SE +/- 43.86, N = 3 36548.23 36176.40 35945.60 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 1 2 3 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 110.36 110.31 110.71 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA 1 2 3 3 6 9 12 15 SE +/- 0.048, N = 3 SE +/- 0.045, N = 3 SE +/- 0.030, N = 3 9.160 9.136 9.070 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 1 2 3 10M 20M 30M 40M 50M SE +/- 453087.94, N = 8 SE +/- 296108.75, N = 3 SE +/- 511494.97, N = 12 44523514.3 43727091.2 44693661.5
RNNoise OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 1 2 3 4 8 12 16 20 SE +/- 0.23, N = 3 SE +/- 0.11, N = 3 SE +/- 0.22, N = 5 18.02 17.80 18.28 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Apache CouchDB Bulk Size: 100 - Inserts: 1000 - Rounds: 24 OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 1 2 3 20 40 60 80 100 SE +/- 0.80, N = 3 SE +/- 0.40, N = 3 SE +/- 1.31, N = 3 94.29 94.73 97.42 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
KeyDB OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 1 2 3 130K 260K 390K 520K 650K SE +/- 376.19, N = 3 SE +/- 1963.29, N = 3 SE +/- 1139.62, N = 3 595609.78 595688.85 594773.28 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark 1 2 3 0.2525 0.505 0.7575 1.01 1.2625 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 1.110 1.122 1.107 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 1 2 3 12K 24K 36K 48K 60K SE +/- 62.22, N = 3 SE +/- 240.71, N = 3 SE +/- 29.04, N = 3 54306 54666 54612 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 1 2 3 20K 40K 60K 80K 100K SE +/- 290.10, N = 3 SE +/- 155.31, N = 3 SE +/- 119.13, N = 3 108633 108994 108848 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 1 2 3 30K 60K 90K 120K 150K SE +/- 137.10, N = 3 SE +/- 186.39, N = 3 SE +/- 187.48, N = 3 132759 133028 133606 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 1 2 3 60K 120K 180K 240K 300K SE +/- 274.66, N = 3 SE +/- 863.36, N = 3 SE +/- 575.36, N = 3 264588 266399 266015 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenVINO Model: Face Detection 0106 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU 1 2 3 0.6188 1.2376 1.8564 2.4752 3.094 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.75 2.74 2.74
OpenVINO Model: Face Detection 0106 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU 1 2 3 500 1000 1500 2000 2500 SE +/- 2.40, N = 3 SE +/- 6.12, N = 3 SE +/- 1.24, N = 3 2169.76 2177.92 2184.46
OpenVINO Model: Face Detection 0106 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU 1 2 3 0.621 1.242 1.863 2.484 3.105 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 2.76 2.75 2.74
OpenVINO Model: Face Detection 0106 FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU 1 2 3 500 1000 1500 2000 2500 SE +/- 5.18, N = 3 SE +/- 4.28, N = 3 SE +/- 8.74, N = 3 2165.18 2173.64 2175.36
OpenVINO Model: Person Detection 0106 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU 1 2 3 0.4635 0.927 1.3905 1.854 2.3175 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 2.05 2.06 2.05
OpenVINO Model: Person Detection 0106 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU 1 2 3 600 1200 1800 2400 3000 SE +/- 27.41, N = 3 SE +/- 6.58, N = 3 SE +/- 30.86, N = 3 2874.65 2867.38 2876.48
OpenVINO Model: Person Detection 0106 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU 1 2 3 0.4658 0.9316 1.3974 1.8632 2.329 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 2.07 2.05 2.04
OpenVINO Model: Person Detection 0106 FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU 1 2 3 600 1200 1800 2400 3000 SE +/- 13.63, N = 3 SE +/- 8.79, N = 3 SE +/- 43.99, N = 3 2842.38 2875.88 2912.37
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 1 2 3 2K 4K 6K 8K 10K SE +/- 17.27, N = 3 SE +/- 10.06, N = 3 SE +/- 20.48, N = 3 9074.10 9036.42 9059.78
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 1 2 3 0.1463 0.2926 0.4389 0.5852 0.7315 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.65 0.65 0.65
OpenVINO Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU 1 2 3 2K 4K 6K 8K 10K SE +/- 6.80, N = 3 SE +/- 6.98, N = 3 SE +/- 17.84, N = 3 9058.69 9019.95 9028.01
OpenVINO Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU 1 2 3 0.1463 0.2926 0.4389 0.5852 0.7315 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.65 0.65 0.65
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT 1 2 3 90M 180M 270M 360M 450M SE +/- 1244417.54, N = 3 SE +/- 6439962.20, N = 3 SE +/- 1719122.71, N = 3 399518329.18 389302269.03 396880391.01 1. (CC) gcc options: -O3 -march=native -lm
Mlpack Benchmark Benchmark: scikit_ica OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica 1 2 3 12 24 36 48 60 SE +/- 0.68, N = 5 SE +/- 0.40, N = 3 SE +/- 0.30, N = 3 51.20 52.85 52.24
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda 1 2 3 16 32 48 64 80 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 67.90 70.10 68.01
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm 1 2 3 5 10 15 20 25 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 19.14 18.87 19.14
Mlpack Benchmark Benchmark: scikit_linearridgeregression OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression 1 2 3 0.4455 0.891 1.3365 1.782 2.2275 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.97 1.98 1.96
Sunflow Rendering System Global Illumination + Image Synthesis OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis 1 2 3 0.1958 0.3916 0.5874 0.7832 0.979 SE +/- 0.011, N = 5 SE +/- 0.014, N = 3 SE +/- 0.009, N = 12 0.855 0.827 0.870 MIN: 0.71 / MAX: 1.18 MIN: 0.73 / MAX: 1.16 MIN: 0.75 / MAX: 1.2
Phoronix Test Suite v10.8.4