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 7713P AMD EPYC 7713P 64-Core EPYC 0.1032 0.2064 0.3096 0.4128 0.516 0.45883 0.45585 0.45640
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Summer Nature 4K 7713P AMD EPYC 7713P 64-Core EPYC 70 140 210 280 350 303.23 303.37 302.63 1. (CC) gcc options: -pthread -lm
OpenBenchmarking.org FPS, More Is Better dav1d 1.1 Video Input: Summer Nature 1080p 7713P AMD EPYC 7713P 64-Core EPYC 160 320 480 640 800 750.52 750.74 744.88 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 7713P AMD EPYC 7713P 64-Core EPYC 12 24 36 48 60 54.39 52.79 54.48 MIN: 52.07 / MAX: 59.3 MIN: 51.92 / MAX: 55.28 MIN: 51.94 / MAX: 58.88
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer ISPC - Model: Crown 7713P AMD EPYC 7713P 64-Core EPYC 12 24 36 48 60 53.01 53.20 52.82 MIN: 49.95 / MAX: 55.11 MIN: 50.13 / MAX: 55.42 MIN: 49.85 / MAX: 55.48
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer - Model: Asian Dragon 7713P AMD EPYC 7713P 64-Core EPYC 14 28 42 56 70 63.46 63.50 63.51 MIN: 62.8 / MAX: 65.01 MIN: 62.84 / MAX: 65.31 MIN: 62.9 / MAX: 65.63
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon 7713P AMD EPYC 7713P 64-Core EPYC 14 28 42 56 70 60.39 60.67 60.34 MIN: 59.7 / MAX: 61.88 MIN: 60.15 / MAX: 61.96 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 7713P AMD EPYC 7713P 64-Core EPYC 5 10 15 20 25 19.01 19.03 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 AMD EPYC 7713P 64-Core EPYC 20 40 60 80 100 92.14 90.77 91.16 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 7713P AMD EPYC 7713P 64-Core EPYC 12 24 36 48 60 48.95 52.65 49.16 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 7713P AMD EPYC 7713P 64-Core EPYC 13 26 39 52 65 56.91 59.14 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 7713P AMD EPYC 7713P 64-Core EPYC 50 100 150 200 250 237.23 239.88 225.64 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 7713P AMD EPYC 7713P 64-Core EPYC 60 120 180 240 300 247.72 249.95 266.14 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 AMD EPYC 7713P 64-Core EPYC 0.7709 1.5418 2.3127 3.0836 3.8545 3.426 3.395 3.421 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 AMD EPYC 7713P 64-Core EPYC 15 30 45 60 75 67.62 67.09 67.51 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 7713P AMD EPYC 7713P 64-Core EPYC 50 100 150 200 250 236.39 236.58 232.56 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 7713P AMD EPYC 7713P 64-Core EPYC 40 80 120 160 200 203.68 204.17 200.26 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 7713P AMD EPYC 7713P 64-Core EPYC 2 4 6 8 10 7.972 7.944 7.996 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 7713P AMD EPYC 7713P 64-Core EPYC 30 60 90 120 150 142.15 144.66 139.34 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 7713P AMD EPYC 7713P 64-Core EPYC 130 260 390 520 650 598.89 593.60 600.27 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 7713P AMD EPYC 7713P 64-Core EPYC 120 240 360 480 600 545.04 556.66 545.20 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 7713P AMD EPYC 7713P 64-Core EPYC 4 8 12 16 20 15.70 15.72 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 AMD EPYC 7713P 64-Core EPYC 14 28 42 56 70 61.90 61.22 61.71
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 AMD EPYC 7713P 64-Core EPYC 11 22 33 44 55 48.25 47.09 48.03
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 AMD EPYC 7713P 64-Core EPYC 40 80 120 160 200 180.76 179.10 180.00
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast 7713P AMD EPYC 7713P 64-Core EPYC 40 80 120 160 200 189.79 193.18 193.69
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K 7713P AMD EPYC 7713P 64-Core EPYC 4 8 12 16 20 15.60 15.40 15.61 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 7713P AMD EPYC 7713P 64-Core EPYC 3 6 9 12 15 12.88 13.13 12.99 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 7713P AMD EPYC 7713P 64-Core EPYC 7 14 21 28 35 27.62 27.72 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 7713P AMD EPYC 7713P 64-Core EPYC 1.0073 2.0146 3.0219 4.0292 5.0365 4.472 4.464 4.477 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 7713P AMD EPYC 7713P 64-Core EPYC 3 6 9 12 15 9.150 9.045 9.169 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 7713P AMD EPYC 7713P 64-Core EPYC 3 6 9 12 15 9.548 9.585 9.554 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 7713P AMD EPYC 7713P 64-Core EPYC 70 140 210 280 350 332 333 331 MIN: 35 / MAX: 4950 MIN: 36 / MAX: 5128 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 AMD EPYC 7713P 64-Core EPYC 0.4193 0.8386 1.2579 1.6772 2.0965 1.45532 1.86344 1.71762 MIN: 1.25 MIN: 1.5 MIN: 1.42 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 3D - Data Type: f32 - Engine: CPU 7713P AMD EPYC 7713P 64-Core EPYC 0.8387 1.6774 2.5161 3.3548 4.1935 3.54528 3.72738 3.56112 MIN: 3.35 MIN: 3.42 MIN: 3.34 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 AMD EPYC 7713P 64-Core EPYC 0.7358 1.4716 2.2074 2.9432 3.679 1.48548 3.27043 2.10553 MIN: 1.15 MIN: 1.94 MIN: 1.46 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 7713P AMD EPYC 7713P 64-Core EPYC 0.1632 0.3264 0.4896 0.6528 0.816 0.725188 0.710391 0.716229 MIN: 0.59 MIN: 0.6 MIN: 0.61 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 AMD EPYC 7713P 64-Core EPYC 0.2077 0.4154 0.6231 0.8308 1.0385 0.917611 0.923039 0.922674 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 7713P AMD EPYC 7713P 64-Core EPYC 0.7217 1.4434 2.1651 2.8868 3.6085 3.19601 3.20738 3.17637 MIN: 1.96 MIN: 2.01 MIN: 1.98 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 7713P AMD EPYC 7713P 64-Core EPYC 0.309 0.618 0.927 1.236 1.545 1.37350 1.36476 1.36834 MIN: 1.18 MIN: 1.17 MIN: 1.17 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 AMD EPYC 7713P 64-Core EPYC 0.1696 0.3392 0.5088 0.6784 0.848 0.752407 0.753965 0.752904 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 7713P AMD EPYC 7713P 64-Core EPYC 600 1200 1800 2400 3000 2822.90 2785.73 2656.69 MIN: 2722.82 MIN: 2693.48 MIN: 2576.21 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 7713P AMD EPYC 7713P 64-Core EPYC 300 600 900 1200 1500 1168.51 1167.96 1197.52 MIN: 1120.55 MIN: 1117.9 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 AMD EPYC 7713P 64-Core EPYC 600 1200 1800 2400 3000 2740.04 2772.42 2756.17 MIN: 2648.01 MIN: 2682.92 MIN: 2657.17 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 7713P AMD EPYC 7713P 64-Core EPYC 300 600 900 1200 1500 1168.99 1166.56 1005.87 MIN: 1115.05 MIN: 1122.91 MIN: 969.34 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 7713P AMD EPYC 7713P 64-Core EPYC 2 4 6 8 10 6.90884 4.61080 3.32848 MIN: 6.04 MIN: 4.33 MIN: 3.11 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 7713P AMD EPYC 7713P 64-Core EPYC 600 1200 1800 2400 3000 2813.76 2572.53 2719.20 MIN: 2717.51 MIN: 2485.61 MIN: 2629.19 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 7713P AMD EPYC 7713P 64-Core EPYC 3 6 9 12 15 9.95838 11.33900 4.74488 MIN: 8.43 MIN: 10.58 MIN: 3.94 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 7713P AMD EPYC 7713P 64-Core EPYC 80 160 240 320 400 357.24 367.00 364.55 MIN: 32.07 / MAX: 4615.38 MIN: 32.26 / MAX: 5000 MIN: 31.65 / MAX: 4615.38
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run 7713P AMD EPYC 7713P 64-Core EPYC 80 160 240 320 400 377.94 381.97 375.10 MIN: 32.36 / MAX: 5454.55 MIN: 32.72 / MAX: 5000 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 7713P AMD EPYC 7713P 64-Core EPYC 80 160 240 320 400 377.13 377.74 373.18 MIN: 32.03 / MAX: 5000 MIN: 32.54 / MAX: 5454.55 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 7713P AMD EPYC 7713P 64-Core EPYC 1.1612 2.3224 3.4836 4.6448 5.806 5.153 5.161 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 7713P AMD EPYC 7713P 64-Core EPYC 70 140 210 280 350 298.61 298.27 297.97
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only 7713P AMD EPYC 7713P 64-Core EPYC 20 40 60 80 100 95.75 95.39 95.65
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 7713P AMD EPYC 7713P 64-Core EPYC 3 6 9 12 15 10.32 10.27 10.32 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 AMD EPYC 7713P 64-Core EPYC 700 1400 2100 2800 3500 3081.47 3085.67 3084.73 MIN: 2850.48 / MAX: 3208.57 MIN: 2689.69 / MAX: 3191.06 MIN: 2879.59 / MAX: 3171.55 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 7713P AMD EPYC 7713P 64-Core EPYC 2 4 6 8 10 6.95 6.98 6.96 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: 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 7713P AMD EPYC 7713P 64-Core EPYC 1000 2000 3000 4000 5000 4534.22 4533.24 4551.69 MIN: 3777.9 / MAX: 4949.64 MIN: 3678.62 / MAX: 4960.53 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 7713P AMD EPYC 7713P 64-Core EPYC 6 12 18 24 30 24.83 24.80 24.83 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 7713P AMD EPYC 7713P 64-Core EPYC 300 600 900 1200 1500 1279.86 1278.47 1281.41 MIN: 1091.18 / MAX: 1309.68 MIN: 1012.03 / MAX: 1333.31 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 7713P AMD EPYC 7713P 64-Core EPYC 400 800 1200 1600 2000 1733.20 1737.64 1735.89 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 7713P AMD EPYC 7713P 64-Core EPYC 5 10 15 20 25 18.45 18.40 18.42 MIN: 11.69 / MAX: 45.1 MIN: 10.68 / MAX: 35.55 MIN: 9.97 / MAX: 47.84 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 7713P AMD EPYC 7713P 64-Core EPYC 200 400 600 800 1000 1034.63 1036.20 1035.59 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 7713P AMD EPYC 7713P 64-Core EPYC 7 14 21 28 35 30.91 30.86 30.88 MIN: 15.57 / MAX: 68.36 MIN: 14.74 / MAX: 61.76 MIN: 15.83 / MAX: 67.41 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 7713P AMD EPYC 7713P 64-Core EPYC 30 60 90 120 150 115.96 116.43 116.63 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: Machine Translation EN To DE FP16 - Device: CPU 7713P AMD EPYC 7713P 64-Core EPYC 60 120 180 240 300 275.44 274.35 273.86 MIN: 127.04 / MAX: 333.71 MIN: 219.29 / MAX: 339.81 MIN: 161.01 / MAX: 339.08 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 7713P AMD EPYC 7713P 64-Core EPYC 500 1000 1500 2000 2500 2480.21 2480.88 2480.74 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 7713P AMD EPYC 7713P 64-Core EPYC 6 12 18 24 30 25.79 25.78 25.78 MIN: 12.29 / MAX: 41.31 MIN: 12.45 / MAX: 37.11 MIN: 12.28 / MAX: 43.11 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 7713P AMD EPYC 7713P 64-Core EPYC 0.4275 0.855 1.2825 1.71 2.1375 1.9 1.9 1.9 MIN: 1.11 / MAX: 19.11 MIN: 0.92 / MAX: 18.9 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 7713P AMD EPYC 7713P 64-Core EPYC 8K 16K 24K 32K 40K 34748.27 33304.79 36372.73 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 7713P AMD EPYC 7713P 64-Core EPYC 0.3915 0.783 1.1745 1.566 1.9575 1.74 1.73 1.74 MIN: 0.83 / MAX: 23.02 MIN: 0.93 / MAX: 18.66 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 7713P AMD EPYC 7713P 64-Core EPYC 50M 100M 150M 200M 250M 243600821 246816797 246505636 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 7713P AMD EPYC 7713P 64-Core EPYC 90K 180K 270K 360K 450K 432837 430088 432989 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 7713P AMD EPYC 7713P 64-Core EPYC 60K 120K 180K 240K 300K 258111 261477 259141 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 7713P AMD EPYC 7713P 64-Core EPYC 2M 4M 6M 8M 10M 8211489 8217915 8450685 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 7713P AMD EPYC 7713P 64-Core EPYC 600K 1200K 1800K 2400K 3000K 2646022 2654622 2651118 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 .