AMD EPYC 7543 with TYAN S8036GM2NE-LE server. Sensor monitoring benchmarks by Michael Larabel.
EPYC 7543 + S8036GM2NE Processor: AMD EPYC 7543 32-Core @ 2.80GHz (32 Cores / 64 Threads), Motherboard: TYAN S8036GM2NE-LE (V2.00.B21 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x GB DDR4-3200MT/s HMA81GR7CJR8N-XN, Disk: 1000GB Corsair Force MP600, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 2-port PCIe
OS: Ubuntu 21.04, Kernel: 5.11.0-25-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,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-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 -vProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001119Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2)Python Notes: Python 3.9.5Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
CPU Temperature Monitor Min Avg Max EPYC 7543 + S8036GM2NE 45.0 63.4 81.8 OpenBenchmarking.org Celsius CPU Temperature Monitor Phoronix Test Suite System Monitoring 20 40 60 80 100
Drive Temperature (nvme0n1) Monitor Min Avg Max EPYC 7543 + S8036GM2NE 27.9 32.3 39.9 OpenBenchmarking.org Celsius Drive Temperature (nvme0n1) Monitor Phoronix Test Suite System Monitoring 11 22 33 44 55
Memory Temperature Monitor Min Avg Max EPYC 7543 + S8036GM2NE 32.0 35.2 38.0 OpenBenchmarking.org Celsius Memory Temperature Monitor Phoronix Test Suite System Monitoring 11 22 33 44 55
CPU Peak Freq (Highest CPU Core Frequency) Monitor Min Avg Max EPYC 7543 + S8036GM2NE 1499 3228 3732 OpenBenchmarking.org Megahertz CPU Peak Freq (Highest CPU Core Frequency) Monitor Phoronix Test Suite System Monitoring 1000 2000 3000 4000 5000
CPU Power Consumption Monitor Min Avg Max EPYC 7543 + S8036GM2NE 69.7 137.2 223.7 OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring 60 120 180 240 300
System Power Consumption Monitor Min Avg Max EPYC 7543 + S8036GM2NE 128.0 209.9 352.0 OpenBenchmarking.org Watts System Power Consumption Monitor Phoronix Test Suite System Monitoring 100 200 300 400 500
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p EPYC 7543 + S8036GM2NE 60 120 180 240 300 SE +/- 4.70, N = 15 292.35 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p EPYC 7543 + S8036GM2NE 100 200 300 400 500 SE +/- 5.33, N = 15 468.15 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7543 + S8036GM2NE 50 100 150 200 250 SE +/- 1.50, N = 15 231.66 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p EPYC 7543 + S8036GM2NE 50 100 150 200 250 SE +/- 0.64, N = 9 244.20 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p EPYC 7543 + S8036GM2NE 50 100 150 200 250 SE +/- 0.68, N = 9 240.66 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
Timed Godot Game Engine Compilation Min Avg Max EPYC 7543 + S8036GM2NE 3264 3566 3725 OpenBenchmarking.org Megahertz, More Is Better Timed Godot Game Engine Compilation 3.2.3 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Timed Node.js Compilation Min Avg Max EPYC 7543 + S8036GM2NE 3181 3475 3725 OpenBenchmarking.org Megahertz, More Is Better Timed Node.js Compilation 15.11 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Timed GCC Compilation Min Avg Max EPYC 7543 + S8036GM2NE 1799 3638 3729 OpenBenchmarking.org Megahertz, More Is Better Timed GCC Compilation 9.3.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Timed LLVM Compilation Min Avg Max EPYC 7543 + S8036GM2NE 1800 3331 3725 OpenBenchmarking.org Megahertz, More Is Better Timed LLVM Compilation 12.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 3133 3537 3729 OpenBenchmarking.org Megahertz, More Is Better Timed LLVM Compilation 12.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Timed GDB GNU Debugger Compilation Min Avg Max EPYC 7543 + S8036GM2NE 3349 3648 3725 OpenBenchmarking.org Megahertz, More Is Better Timed GDB GNU Debugger Compilation 10.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Apache Cassandra Min Avg Max EPYC 7543 + S8036GM2NE 1935 3383 3714 OpenBenchmarking.org Megahertz, More Is Better Apache Cassandra 4.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
BRL-CAD Min Avg Max EPYC 7543 + S8036GM2NE 1873 2929 3129 OpenBenchmarking.org Megahertz, More Is Better BRL-CAD 7.32.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 800 1600 2400 3200 4000
Mobile Neural Network Min Avg Max EPYC 7543 + S8036GM2NE 1799 3331 3578 OpenBenchmarking.org Megahertz, More Is Better Mobile Neural Network 1.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
TNN Min Avg Max EPYC 7543 + S8036GM2NE 3550 3589 3627 OpenBenchmarking.org Megahertz, More Is Better TNN 0.3 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
NAS Parallel Benchmarks Min Avg Max EPYC 7543 + S8036GM2NE 3447 3484 3659 OpenBenchmarking.org Megahertz, More Is Better NAS Parallel Benchmarks 3.4 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 3451 3458 3474 OpenBenchmarking.org Megahertz, More Is Better NAS Parallel Benchmarks 3.4 CPU Peak Freq (Highest CPU Core Frequency) Monitor 800 1600 2400 3200 4000
Facebook RocksDB Min Avg Max EPYC 7543 + S8036GM2NE 1800 3320 3601 OpenBenchmarking.org Megahertz, More Is Better Facebook RocksDB 6.22.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 1800 3156 3416 OpenBenchmarking.org Megahertz, More Is Better Facebook RocksDB 6.22.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 800 1600 2400 3200 4000
Min Avg Max EPYC 7543 + S8036GM2NE 2399 3371 3522 OpenBenchmarking.org Megahertz, More Is Better Facebook RocksDB 6.22.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 1799 3292 3492 OpenBenchmarking.org Megahertz, More Is Better Facebook RocksDB 6.22.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 800 1600 2400 3200 4000
PostgreSQL pgbench Min Avg Max EPYC 7543 + S8036GM2NE 1797 3045 3732 OpenBenchmarking.org Megahertz, More Is Better PostgreSQL pgbench 13.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Blender Min Avg Max EPYC 7543 + S8036GM2NE 1499 2944 3725 OpenBenchmarking.org Megahertz, More Is Better Blender 2.92 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Quantum ESPRESSO Min Avg Max EPYC 7543 + S8036GM2NE 2701 3434 3571 OpenBenchmarking.org Megahertz, More Is Better Quantum ESPRESSO 6.8 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
PyPerformance Min Avg Max EPYC 7543 + S8036GM2NE 1797 3501 3725 OpenBenchmarking.org Megahertz, More Is Better PyPerformance 1.0.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 3715 3723 3730 OpenBenchmarking.org Megahertz, More Is Better PyPerformance 1.0.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 1797 3485 3729 OpenBenchmarking.org Megahertz, More Is Better PyPerformance 1.0.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 1798 3278 3727 OpenBenchmarking.org Megahertz, More Is Better PyPerformance 1.0.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 3722 3725 3729 OpenBenchmarking.org Megahertz, More Is Better PyPerformance 1.0.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Min Avg Max EPYC 7543 + S8036GM2NE 1799 3174 3725 OpenBenchmarking.org Megahertz, More Is Better PyPerformance 1.0.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1000 2000 3000 4000 5000
Stockfish This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 13 Total Time EPYC 7543 + S8036GM2NE 20M 40M 60M 80M 100M SE +/- 993882.73, N = 3 89208348 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.org Requests Per Second, More Is Better Redis 6.0.9 Test: GET EPYC 7543 + S8036GM2NE 500K 1000K 1500K 2000K 2500K SE +/- 25082.91, N = 4 2496247.63 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7543 + S8036GM2NE 140K 280K 420K 560K 700K SE +/- 5410.67, N = 3 655577
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C EPYC 7543 + S8036GM2NE 600 1200 1800 2400 3000 SE +/- 6.64, N = 9 2962.42 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7543 + S8036GM2NE 10K 20K 30K 40K 50K SE +/- 261.66, N = 5 48624.01 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7543 + S8036GM2NE 20K 40K 60K 80K 100K SE +/- 329.14, N = 3 106020.34 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B EPYC 7543 + S8036GM2NE 14K 28K 42K 56K 70K SE +/- 133.16, N = 7 67693.59 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7543 + S8036GM2NE 400 800 1200 1600 2000 SE +/- 15.04, N = 3 1760.85 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7543 + S8036GM2NE 11K 22K 33K 44K 55K SE +/- 34.22, N = 8 49178.15 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7543 + S8036GM2NE 6K 12K 18K 24K 30K SE +/- 270.24, N = 7 30198.41 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
Timed Godot Game Engine Compilation Min Avg Max EPYC 7543 + S8036GM2NE 54.5 59.8 63.8 OpenBenchmarking.org Celsius, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 31.9 33.0 33.9 OpenBenchmarking.org Celsius, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 Drive Temperature (nvme0n1) Monitor 10 20 30 40 50
Min Avg Max EPYC 7543 + S8036GM2NE 34.0 35.2 36.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 Memory Temperature Monitor 10 20 30 40 50
Timed Node.js Compilation Min Avg Max EPYC 7543 + S8036GM2NE 50.8 61.3 76.5 OpenBenchmarking.org Celsius, Fewer Is Better Timed Node.js Compilation 15.11 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 33.9 35.9 37.9 OpenBenchmarking.org Celsius, Fewer Is Better Timed Node.js Compilation 15.11 Drive Temperature (nvme0n1) Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 34.0 35.0 37.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed Node.js Compilation 15.11 Memory Temperature Monitor 11 22 33 44 55
Timed GCC Compilation Min Avg Max EPYC 7543 + S8036GM2NE 45.0 59.6 77.3 OpenBenchmarking.org Celsius, Fewer Is Better Timed GCC Compilation 9.3.0 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 32.9 34.6 37.9 OpenBenchmarking.org Celsius, Fewer Is Better Timed GCC Compilation 9.3.0 Drive Temperature (nvme0n1) Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 33.0 35.0 37.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed GCC Compilation 9.3.0 Memory Temperature Monitor 11 22 33 44 55
Timed LLVM Compilation Min Avg Max EPYC 7543 + S8036GM2NE 46.0 61.5 73.8 OpenBenchmarking.org Celsius, Fewer Is Better Timed LLVM Compilation 12.0 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 32.9 36.1 37.9 OpenBenchmarking.org Celsius, Fewer Is Better Timed LLVM Compilation 12.0 Drive Temperature (nvme0n1) Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 33.0 34.8 36.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed LLVM Compilation 12.0 Memory Temperature Monitor 10 20 30 40 50
Min Avg Max EPYC 7543 + S8036GM2NE 47.0 63.8 73.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed LLVM Compilation 12.0 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 36.9 37.3 37.9 OpenBenchmarking.org Celsius, Fewer Is Better Timed LLVM Compilation 12.0 Drive Temperature (nvme0n1) Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 33.0 34.6 36.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed LLVM Compilation 12.0 Memory Temperature Monitor 10 20 30 40 50
Timed GDB GNU Debugger Compilation Min Avg Max EPYC 7543 + S8036GM2NE 34.0 34.9 36.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed GDB GNU Debugger Compilation 10.2 Memory Temperature Monitor 10 20 30 40 50
Mobile Neural Network Min Avg Max EPYC 7543 + S8036GM2NE 52.3 64.4 68.3 OpenBenchmarking.org Celsius, Fewer Is Better Mobile Neural Network 1.2 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 33.9 34.7 34.9 OpenBenchmarking.org Celsius, Fewer Is Better Mobile Neural Network 1.2 Drive Temperature (nvme0n1) Monitor 10 20 30 40 50
Min Avg Max EPYC 7543 + S8036GM2NE 32.0 32.8 34.0 OpenBenchmarking.org Celsius, Fewer Is Better Mobile Neural Network 1.2 Memory Temperature Monitor 10 20 30 40 50
TNN Min Avg Max EPYC 7543 + S8036GM2NE 51.5 60.6 68.5 OpenBenchmarking.org Celsius, Fewer Is Better TNN 0.3 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 28.9 30.3 31.9 OpenBenchmarking.org Celsius, Fewer Is Better TNN 0.3 Drive Temperature (nvme0n1) Monitor 9 18 27 36 45
Min Avg Max EPYC 7543 + S8036GM2NE 33.0 35.3 36.0 OpenBenchmarking.org Celsius, Fewer Is Better TNN 0.3 Memory Temperature Monitor 10 20 30 40 50
PostgreSQL pgbench Min Avg Max EPYC 7543 + S8036GM2NE 49.8 68.6 77.0 OpenBenchmarking.org Celsius, Fewer Is Better PostgreSQL pgbench 13.0 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 35.9 36.6 37.9 OpenBenchmarking.org Celsius, Fewer Is Better PostgreSQL pgbench 13.0 Drive Temperature (nvme0n1) Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 32.0 36.9 38.0 OpenBenchmarking.org Celsius, Fewer Is Better PostgreSQL pgbench 13.0 Memory Temperature Monitor 11 22 33 44 55
Blender Min Avg Max EPYC 7543 + S8036GM2NE 54.0 63.6 70.0 OpenBenchmarking.org Celsius, Fewer Is Better Blender 2.92 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 28.9 32.0 33.9 OpenBenchmarking.org Celsius, Fewer Is Better Blender 2.92 Drive Temperature (nvme0n1) Monitor 10 20 30 40 50
Min Avg Max EPYC 7543 + S8036GM2NE 32.0 32.5 35.0 OpenBenchmarking.org Celsius, Fewer Is Better Blender 2.92 Memory Temperature Monitor 10 20 30 40 50
Quantum ESPRESSO Min Avg Max EPYC 7543 + S8036GM2NE 53.5 63.9 73.5 OpenBenchmarking.org Celsius, Fewer Is Better Quantum ESPRESSO 6.8 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max EPYC 7543 + S8036GM2NE 32.9 32.9 33.9 OpenBenchmarking.org Celsius, Fewer Is Better Quantum ESPRESSO 6.8 Drive Temperature (nvme0n1) Monitor 10 20 30 40 50
Min Avg Max EPYC 7543 + S8036GM2NE 32.0 32.8 34.0 OpenBenchmarking.org Celsius, Fewer Is Better Quantum ESPRESSO 6.8 Memory Temperature Monitor 10 20 30 40 50
PyPerformance Min Avg Max EPYC 7543 + S8036GM2NE 54.8 62.8 70.8 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor EPYC 7543 + S8036GM2NE 7 14 21 28 35 28.85
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Memory Temperature Monitor EPYC 7543 + S8036GM2NE 8 16 24 32 40 36.00
Min Avg Max EPYC 7543 + S8036GM2NE 56.3 64.3 70.3 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor EPYC 7543 + S8036GM2NE 7 14 21 28 35 27.85
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Memory Temperature Monitor EPYC 7543 + S8036GM2NE 8 16 24 32 40 36.00
Min Avg Max EPYC 7543 + S8036GM2NE 57.0 65.5 71.5 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor EPYC 7543 + S8036GM2NE 7 14 21 28 35 27.85
Min Avg Max EPYC 7543 + S8036GM2NE 36.0 36.4 37.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Memory Temperature Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 57.3 62.1 67.3 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor EPYC 7543 + S8036GM2NE 7 14 21 28 35 27.85
Min Avg Max EPYC 7543 + S8036GM2NE 36.0 36.1 37.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Memory Temperature Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 59.8 66.6 72.5 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor EPYC 7543 + S8036GM2NE 7 14 21 28 35 27.85
Min Avg Max EPYC 7543 + S8036GM2NE 36.0 36.6 37.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Memory Temperature Monitor 11 22 33 44 55
Min Avg Max EPYC 7543 + S8036GM2NE 36.0 36.1 37.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Memory Temperature Monitor 11 22 33 44 55
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7543 + S8036GM2NE 200 400 600 800 1000 SE +/- 4.33, N = 3 932
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: mobilenetV3 EPYC 7543 + S8036GM2NE 0.5364 1.0728 1.6092 2.1456 2.682 SE +/- 0.006, N = 3 2.384 MIN: 2.33 / MAX: 2.45 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 1.2 Model: squeezenetv1.1 EPYC 7543 + S8036GM2NE 0.959 1.918 2.877 3.836 4.795 SE +/- 0.063, N = 3 4.262 MIN: 4.12 / MAX: 4.56 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 1.2 Model: resnet-v2-50 EPYC 7543 + S8036GM2NE 5 10 15 20 25 SE +/- 0.15, N = 3 20.73 MIN: 20.23 / MAX: 74.92 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 1.2 Model: SqueezeNetV1.0 EPYC 7543 + S8036GM2NE 2 4 6 8 10 SE +/- 0.096, N = 3 6.289 MIN: 5.75 / MAX: 35.93 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 1.2 Model: MobileNetV2_224 EPYC 7543 + S8036GM2NE 1.0177 2.0354 3.0531 4.0708 5.0885 SE +/- 0.090, N = 3 4.523 MIN: 4.29 / MAX: 4.84 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 1.2 Model: mobilenet-v1-1.0 EPYC 7543 + S8036GM2NE 0.6802 1.3604 2.0406 2.7208 3.401 SE +/- 0.277, N = 3 3.023 MIN: 2.58 / MAX: 3.69 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 NCNN 20210720 Target: CPU-v2-v2 - Model: mobilenet-v2 EPYC 7543 + S8036GM2NE 2 4 6 8 10 SE +/- 0.09, N = 3 8.06 MIN: 7.55 / MAX: 47.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU-v3-v3 - Model: mobilenet-v3 EPYC 7543 + S8036GM2NE 2 4 6 8 10 SE +/- 0.02, N = 3 7.32 MIN: 7.19 / MAX: 8.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: shufflenet-v2 EPYC 7543 + S8036GM2NE 2 4 6 8 10 SE +/- 0.05, N = 3 7.53 MIN: 7.32 / MAX: 27.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: mnasnet EPYC 7543 + S8036GM2NE 2 4 6 8 10 SE +/- 0.05, N = 3 7.17 MIN: 6.78 / MAX: 36.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: efficientnet-b0 EPYC 7543 + S8036GM2NE 3 6 9 12 15 SE +/- 0.12, N = 3 9.61 MIN: 9.28 / MAX: 19.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: blazeface EPYC 7543 + S8036GM2NE 0.846 1.692 2.538 3.384 4.23 SE +/- 0.24, N = 3 3.76 MIN: 3.36 / MAX: 207.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: googlenet EPYC 7543 + S8036GM2NE 4 8 12 16 20 SE +/- 0.17, N = 3 18.19 MIN: 16.21 / MAX: 229.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: vgg16 EPYC 7543 + S8036GM2NE 14 28 42 56 70 SE +/- 2.66, N = 3 64.55 MIN: 38.52 / MAX: 1172.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: resnet18 EPYC 7543 + S8036GM2NE 3 6 9 12 15 SE +/- 0.02, N = 3 13.35 MIN: 12.95 / MAX: 23.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: alexnet EPYC 7543 + S8036GM2NE 2 4 6 8 10 SE +/- 0.07, N = 3 8.70 MIN: 8.31 / MAX: 20.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: resnet50 EPYC 7543 + S8036GM2NE 6 12 18 24 30 SE +/- 0.54, N = 3 26.07 MIN: 24.7 / MAX: 184.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: yolov4-tiny EPYC 7543 + S8036GM2NE 6 12 18 24 30 SE +/- 0.40, N = 3 27.20 MIN: 25.93 / MAX: 39.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: squeezenet_ssd EPYC 7543 + S8036GM2NE 5 10 15 20 25 SE +/- 0.27, N = 3 19.41 MIN: 18.56 / MAX: 38.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: regnety_400m EPYC 7543 + S8036GM2NE 5 10 15 20 25 SE +/- 0.08, N = 3 19.90 MIN: 19.41 / MAX: 52.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: MobileNet v2 EPYC 7543 + S8036GM2NE 60 120 180 240 300 SE +/- 0.86, N = 3 293.17 MIN: 286.01 / MAX: 355.6 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 EPYC 7543 + S8036GM2NE 60 120 180 240 300 SE +/- 0.13, N = 3 271.11 MIN: 270.69 / MAX: 272.93 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v2 EPYC 7543 + S8036GM2NE 14 28 42 56 70 SE +/- 0.06, N = 8 64.85 MIN: 64.52 / MAX: 65.6 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
Timed Godot Game Engine Compilation This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.
Timed Node.js Compilation This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 3.0 Preset: Exhaustive EPYC 7543 + S8036GM2NE 6 12 18 24 30 SE +/- 0.00, N = 3 23.47 1. (CXX) g++ options: -O3 -flto -pthread
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.
EPYC 7543 + S8036GM2NE Processor: AMD EPYC 7543 32-Core @ 2.80GHz (32 Cores / 64 Threads), Motherboard: TYAN S8036GM2NE-LE (V2.00.B21 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x GB DDR4-3200MT/s HMA81GR7CJR8N-XN, Disk: 1000GB Corsair Force MP600, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 2-port PCIe
OS: Ubuntu 21.04, Kernel: 5.11.0-25-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,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-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 -vProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001119Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2)Python Notes: Python 3.9.5Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 July 2021 09:19 by user root.