AMD EPYC 7713P 64-Core testing with a Supermicro H12SSL-i v1.02 (2.4 BIOS) and astdrmfb on AlmaLinux 9.1 via the Phoronix Test Suite.
AMD EPYC 7713P 64-Core Kernel Notes: Transparent Huge Pages: alwaysCompiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-islProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Python Notes: Python 3.9.14Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 + srbds: Not affected + tsx_async_abort: Not affected
7713P EPYC Processor: AMD EPYC 7713P 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb
OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1024x768
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.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms AMD EPYC 7713P 64-Core EPYC 7713P 0.1032 0.2064 0.3096 0.4128 0.516 0.45585 0.45640 0.45883
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Summer Nature 4K AMD EPYC 7713P 64-Core 7713P EPYC 70 140 210 280 350 303.37 303.23 302.63 1. (CC) gcc options: -pthread -lm
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Summer Nature 1080p AMD EPYC 7713P 64-Core 7713P EPYC 160 320 480 640 800 750.74 750.52 744.88 1. (CC) gcc options: -pthread -lm
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Chimera 1080p 10-bit 7713P AMD EPYC 7713P 64-Core EPYC 110 220 330 440 550 490.08 488.92 487.36 1. (CC) gcc options: -pthread -lm
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer - Model: Crown EPYC 7713P AMD EPYC 7713P 64-Core 12 24 36 48 60 54.48 54.39 52.79 MIN: 51.94 / MAX: 58.88 MIN: 52.07 / MAX: 59.3 MIN: 51.92 / MAX: 55.28
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer ISPC - Model: Crown AMD EPYC 7713P 64-Core 7713P EPYC 12 24 36 48 60 53.20 53.01 52.82 MIN: 50.13 / MAX: 55.42 MIN: 49.95 / MAX: 55.11 MIN: 49.85 / MAX: 55.48
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer - Model: Asian Dragon EPYC AMD EPYC 7713P 64-Core 7713P 14 28 42 56 70 63.51 63.50 63.46 MIN: 62.9 / MAX: 65.63 MIN: 62.84 / MAX: 65.31 MIN: 62.8 / MAX: 65.01
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon AMD EPYC 7713P 64-Core 7713P EPYC 14 28 42 56 70 60.67 60.39 60.34 MIN: 60.15 / MAX: 61.96 MIN: 59.7 / MAX: 61.88 MIN: 59.64 / MAX: 61.87
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow 7713P AMD EPYC 7713P 64-Core EPYC 5 10 15 20 25 18.69 18.56 18.50 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium AMD EPYC 7713P 64-Core 7713P EPYC 5 10 15 20 25 19.03 19.01 18.97 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow 7713P AMD EPYC 7713P 64-Core EPYC 20 40 60 80 100 89.58 88.90 88.37 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium 7713P EPYC AMD EPYC 7713P 64-Core 20 40 60 80 100 92.14 91.16 90.77 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast 7713P AMD EPYC 7713P 64-Core EPYC 10 20 30 40 50 42.03 41.91 41.38 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast AMD EPYC 7713P 64-Core EPYC 7713P 12 24 36 48 60 52.65 49.16 48.95 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast AMD EPYC 7713P 64-Core 7713P EPYC 13 26 39 52 65 59.14 56.91 55.35 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast 7713P AMD EPYC 7713P 64-Core EPYC 50 100 150 200 250 207.08 205.75 200.08 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast AMD EPYC 7713P 64-Core 7713P EPYC 50 100 150 200 250 239.88 237.23 225.64 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC AMD EPYC 7713P 64-Core 7713P 60 120 180 240 300 266.14 249.95 247.72 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
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.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K 7713P EPYC AMD EPYC 7713P 64-Core 0.7709 1.5418 2.3127 3.0836 3.8545 3.426 3.421 3.395 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K 7713P EPYC AMD EPYC 7713P 64-Core 15 30 45 60 75 67.62 67.51 67.09 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K AMD EPYC 7713P 64-Core 7713P EPYC 50 100 150 200 250 236.58 236.39 232.56 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K AMD EPYC 7713P 64-Core 7713P EPYC 40 80 120 160 200 204.17 203.68 200.26 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p EPYC 7713P AMD EPYC 7713P 64-Core 2 4 6 8 10 7.996 7.972 7.944 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p AMD EPYC 7713P 64-Core 7713P EPYC 30 60 90 120 150 144.66 142.15 139.34 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p EPYC 7713P AMD EPYC 7713P 64-Core 130 260 390 520 650 600.27 598.89 593.60 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p AMD EPYC 7713P 64-Core EPYC 7713P 120 240 360 480 600 556.66 545.20 545.04 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium AMD EPYC 7713P 64-Core 7713P EPYC 4 8 12 16 20 15.72 15.70 15.64
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow 7713P AMD EPYC 7713P 64-Core EPYC 13 26 39 52 65 56.10 55.86 55.46
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium 7713P EPYC AMD EPYC 7713P 64-Core 14 28 42 56 70 61.90 61.71 61.22
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast 7713P AMD EPYC 7713P 64-Core EPYC 10 20 30 40 50 42.86 42.63 42.41
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast 7713P AMD EPYC 7713P 64-Core EPYC 10 20 30 40 50 45.65 45.00 44.49
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast 7713P EPYC AMD EPYC 7713P 64-Core 11 22 33 44 55 48.25 48.03 47.09
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast 7713P AMD EPYC 7713P 64-Core EPYC 40 80 120 160 200 168.48 168.13 167.84
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast 7713P EPYC AMD EPYC 7713P 64-Core 40 80 120 160 200 180.76 180.00 179.10
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC AMD EPYC 7713P 64-Core 7713P 40 80 120 160 200 193.69 193.18 189.79
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K EPYC 7713P AMD EPYC 7713P 64-Core 4 8 12 16 20 15.61 15.60 15.40 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p AMD EPYC 7713P 64-Core EPYC 7713P 3 6 9 12 15 13.13 12.99 12.88 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p AMD EPYC 7713P 64-Core 7713P EPYC 7 14 21 28 35 27.72 27.62 27.58 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under The Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast EPYC 7713P AMD EPYC 7713P 64-Core 1.0073 2.0146 3.0219 4.0292 5.0365 4.477 4.472 4.464 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster EPYC 7713P AMD EPYC 7713P 64-Core 3 6 9 12 15 9.169 9.150 9.045 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast AMD EPYC 7713P 64-Core EPYC 7713P 3 6 9 12 15 9.585 9.554 9.548 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster 7713P AMD EPYC 7713P 64-Core EPYC 5 10 15 20 25 22.59 22.54 22.47 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar AMD EPYC 7713P 64-Core 7713P EPYC 70 140 210 280 350 333 332 331 MIN: 36 / MAX: 5128 MIN: 35 / MAX: 4950 MIN: 35 / MAX: 5141
Build: allmodconfig
AMD EPYC 7713P 64-Core: The test quit with a non-zero exit status.
7713P: The test quit with a non-zero exit status.
EPYC: The test quit with a non-zero exit status.
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 7713P EPYC AMD EPYC 7713P 64-Core 0.4193 0.8386 1.2579 1.6772 2.0965 1.45532 1.71762 1.86344 MIN: 1.25 MIN: 1.42 MIN: 1.5 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 7713P EPYC AMD EPYC 7713P 64-Core 0.8387 1.6774 2.5161 3.3548 4.1935 3.54528 3.56112 3.72738 MIN: 3.35 MIN: 3.34 MIN: 3.42 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 7713P EPYC AMD EPYC 7713P 64-Core 0.7358 1.4716 2.2074 2.9432 3.679 1.48548 2.10553 3.27043 MIN: 1.15 MIN: 1.46 MIN: 1.94 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU AMD EPYC 7713P 64-Core EPYC 7713P 0.1632 0.3264 0.4896 0.6528 0.816 0.710391 0.716229 0.725188 MIN: 0.6 MIN: 0.61 MIN: 0.59 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
AMD EPYC 7713P 64-Core: The test run did not produce a result.
7713P: The test run did not produce a result.
EPYC: The test run did not produce a result.
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
AMD EPYC 7713P 64-Core: The test run did not produce a result.
7713P: The test run did not produce a result.
EPYC: The test run did not produce a result.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 7713P EPYC AMD EPYC 7713P 64-Core 0.2077 0.4154 0.6231 0.8308 1.0385 0.917611 0.922674 0.923039 MIN: 0.87 MIN: 0.87 MIN: 0.87 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 7713P AMD EPYC 7713P 64-Core EPYC 2 4 6 8 10 6.76671 6.82011 6.91927 MIN: 5.9 MIN: 5.98 MIN: 6.02 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU EPYC 7713P AMD EPYC 7713P 64-Core 0.7217 1.4434 2.1651 2.8868 3.6085 3.17637 3.19601 3.20738 MIN: 1.98 MIN: 1.96 MIN: 2.01 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 7713P AMD EPYC 7713P 64-Core EPYC 0.3664 0.7328 1.0992 1.4656 1.832 1.60864 1.60913 1.62849 MIN: 1.55 MIN: 1.55 MIN: 1.56 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU AMD EPYC 7713P 64-Core EPYC 7713P 0.309 0.618 0.927 1.236 1.545 1.36476 1.36834 1.37350 MIN: 1.17 MIN: 1.17 MIN: 1.18 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 7713P EPYC AMD EPYC 7713P 64-Core 0.1696 0.3392 0.5088 0.6784 0.848 0.752407 0.752904 0.753965 MIN: 0.69 MIN: 0.69 MIN: 0.69 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC AMD EPYC 7713P 64-Core 7713P 600 1200 1800 2400 3000 2656.69 2785.73 2822.90 MIN: 2576.21 MIN: 2693.48 MIN: 2722.82 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU AMD EPYC 7713P 64-Core 7713P EPYC 300 600 900 1200 1500 1167.96 1168.51 1197.52 MIN: 1117.9 MIN: 1120.55 MIN: 1143.87 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 7713P EPYC AMD EPYC 7713P 64-Core 600 1200 1800 2400 3000 2740.04 2756.17 2772.42 MIN: 2648.01 MIN: 2657.17 MIN: 2682.92 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
AMD EPYC 7713P 64-Core: The test run did not produce a result.
7713P: The test run did not produce a result.
EPYC: The test run did not produce a result.
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
AMD EPYC 7713P 64-Core: The test run did not produce a result.
7713P: The test run did not produce a result.
EPYC: The test run did not produce a result.
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
AMD EPYC 7713P 64-Core: The test run did not produce a result.
7713P: The test run did not produce a result.
EPYC: The test run did not produce a result.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU EPYC AMD EPYC 7713P 64-Core 7713P 300 600 900 1200 1500 1005.87 1166.56 1168.99 MIN: 969.34 MIN: 1122.91 MIN: 1115.05 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU EPYC AMD EPYC 7713P 64-Core 7713P 2 4 6 8 10 3.32848 4.61080 6.90884 MIN: 3.11 MIN: 4.33 MIN: 6.04 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU AMD EPYC 7713P 64-Core EPYC 7713P 600 1200 1800 2400 3000 2572.53 2719.20 2813.76 MIN: 2485.61 MIN: 2629.19 MIN: 2717.51 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 7713P AMD EPYC 7713P 64-Core EPYC 300 600 900 1200 1500 1133.90 1162.04 1181.47 MIN: 1086.27 MIN: 1112.33 MIN: 1132.27 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7713P AMD EPYC 7713P 64-Core 3 6 9 12 15 4.74488 9.95838 11.33900 MIN: 3.94 MIN: 8.43 MIN: 10.58 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
AMD EPYC 7713P 64-Core: The test run did not produce a result.
7713P: The test run did not produce a result.
EPYC: The test run did not produce a result.
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache AMD EPYC 7713P 64-Core EPYC 7713P 80 160 240 320 400 367.00 364.55 357.24 MIN: 32.26 / MAX: 5000 MIN: 31.65 / MAX: 4615.38 MIN: 32.07 / MAX: 4615.38
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run AMD EPYC 7713P 64-Core 7713P EPYC 80 160 240 320 400 381.97 377.94 375.10 MIN: 32.72 / MAX: 5000 MIN: 32.36 / MAX: 5454.55 MIN: 32.7 / MAX: 5454.55
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run AMD EPYC 7713P 64-Core 7713P EPYC 80 160 240 320 400 377.74 377.13 373.18 MIN: 32.54 / MAX: 5454.55 MIN: 32.03 / MAX: 5000 MIN: 33.15 / MAX: 5454.55
CockroachDB CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 128 7713P AMD EPYC 7713P 64-Core EPYC 200 400 600 800 1000 919.1 916.9 914.1
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare AMD EPYC 7713P 64-Core 7713P EPYC 1.1612 2.3224 3.4836 4.6448 5.806 5.161 5.153 5.137 1. (CXX) g++ options: -O3
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: CPU-Only 7713P AMD EPYC 7713P 64-Core EPYC 7 14 21 28 35 30.26 30.31 30.33
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only EPYC AMD EPYC 7713P 64-Core 7713P 70 140 210 280 350 297.97 298.27 298.61
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only AMD EPYC 7713P 64-Core EPYC 7713P 20 40 60 80 100 95.39 95.65 95.75
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU EPYC 7713P AMD EPYC 7713P 64-Core 3 6 9 12 15 10.32 10.32 10.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU 7713P EPYC AMD EPYC 7713P 64-Core 700 1400 2100 2800 3500 3081.47 3084.73 3085.67 MIN: 2850.48 / MAX: 3208.57 MIN: 2879.59 / MAX: 3171.55 MIN: 2689.69 / MAX: 3191.06 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU AMD EPYC 7713P 64-Core EPYC 7713P 2 4 6 8 10 6.98 6.96 6.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 1000 2000 3000 4000 5000 4515.84 4516.48 4530.80 MIN: 3635.39 / MAX: 4946.66 MIN: 3852.9 / MAX: 4939.4 MIN: 3773.39 / MAX: 4938.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 2 4 6 8 10 6.93 6.93 6.90 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU AMD EPYC 7713P 64-Core 7713P EPYC 1000 2000 3000 4000 5000 4533.24 4534.22 4551.69 MIN: 3678.62 / MAX: 4960.53 MIN: 3777.9 / MAX: 4949.64 MIN: 3740.78 / MAX: 4960.86 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 200 400 600 800 1000 943.78 943.02 936.70 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 8 16 24 32 40 33.88 33.91 34.13 MIN: 18.11 / MAX: 79.52 MIN: 20.21 / MAX: 78.4 MIN: 20.69 / MAX: 92.25 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU EPYC 7713P AMD EPYC 7713P 64-Core 6 12 18 24 30 24.83 24.83 24.80 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU AMD EPYC 7713P 64-Core 7713P EPYC 300 600 900 1200 1500 1278.47 1279.86 1281.41 MIN: 1012.03 / MAX: 1333.31 MIN: 1091.18 / MAX: 1309.68 MIN: 1130.66 / MAX: 1318.88 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU AMD EPYC 7713P 64-Core EPYC 7713P 400 800 1200 1600 2000 1737.64 1735.89 1733.20 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU AMD EPYC 7713P 64-Core EPYC 7713P 5 10 15 20 25 18.40 18.42 18.45 MIN: 10.68 / MAX: 35.55 MIN: 9.97 / MAX: 47.84 MIN: 11.69 / MAX: 45.1 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU AMD EPYC 7713P 64-Core EPYC 7713P 200 400 600 800 1000 1036.20 1035.59 1034.63 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU AMD EPYC 7713P 64-Core EPYC 7713P 7 14 21 28 35 30.86 30.88 30.91 MIN: 14.74 / MAX: 61.76 MIN: 15.83 / MAX: 67.41 MIN: 15.57 / MAX: 68.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU EPYC AMD EPYC 7713P 64-Core 7713P 30 60 90 120 150 116.63 116.43 115.96 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU EPYC AMD EPYC 7713P 64-Core 7713P 60 120 180 240 300 273.86 274.35 275.44 MIN: 161.01 / MAX: 339.08 MIN: 219.29 / MAX: 339.81 MIN: 127.04 / MAX: 333.71 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU AMD EPYC 7713P 64-Core EPYC 7713P 500 1000 1500 2000 2500 2480.88 2480.74 2480.21 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU AMD EPYC 7713P 64-Core EPYC 7713P 6 12 18 24 30 25.78 25.78 25.79 MIN: 12.45 / MAX: 37.11 MIN: 12.28 / MAX: 43.11 MIN: 12.29 / MAX: 41.31 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 300 600 900 1200 1500 1546.83 1543.41 1541.56 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 5 10 15 20 25 20.66 20.71 20.73 MIN: 12.27 / MAX: 46.32 MIN: 10.78 / MAX: 59.22 MIN: 18.04 / MAX: 47.9 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 7K 14K 21K 28K 35K 33515.96 33486.42 33481.88 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU AMD EPYC 7713P 64-Core 7713P EPYC 0.4275 0.855 1.2825 1.71 2.1375 1.9 1.9 1.9 MIN: 0.92 / MAX: 18.9 MIN: 1.11 / MAX: 19.11 MIN: 0.98 / MAX: 15.82 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 7713P AMD EPYC 7713P 64-Core 8K 16K 24K 32K 40K 36372.73 34748.27 33304.79 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU AMD EPYC 7713P 64-Core 7713P EPYC 0.3915 0.783 1.1745 1.566 1.9575 1.73 1.74 1.74 MIN: 0.93 / MAX: 18.66 MIN: 0.83 / MAX: 23.02 MIN: 0.91 / MAX: 15.73 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Read AMD EPYC 7713P 64-Core EPYC 7713P 50M 100M 150M 200M 250M 246816797 246505636 243600821 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Update Random 7713P AMD EPYC 7713P 64-Core EPYC 90K 180K 270K 360K 450K 416457 416178 415087 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Sequential Fill EPYC 7713P AMD EPYC 7713P 64-Core 90K 180K 270K 360K 450K 432989 432837 430088 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Fill Sync AMD EPYC 7713P 64-Core EPYC 7713P 60K 120K 180K 240K 300K 261477 259141 258111 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read While Writing EPYC AMD EPYC 7713P 64-Core 7713P 2M 4M 6M 8M 10M 8450685 8217915 8211489 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read Random Write Random AMD EPYC 7713P 64-Core EPYC 7713P 600K 1200K 1800K 2400K 3000K 2654622 2651118 2646022 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
AMD EPYC 7713P 64-Core Kernel Notes: Transparent Huge Pages: alwaysCompiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-islProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Python Notes: Python 3.9.14Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 February 2023 03:59 by user .
7713P Kernel Notes: Transparent Huge Pages: alwaysCompiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-islProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Python Notes: Python 3.9.14Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 February 2023 13:34 by user .
EPYC Processor: AMD EPYC 7713P 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb
OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1024x768
Kernel Notes: Transparent Huge Pages: alwaysCompiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-islProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Python Notes: Python 3.9.14Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 February 2023 16:11 by user .