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 7713P EPYC 0.1032 0.2064 0.3096 0.4128 0.516 0.45585 0.45883 0.45640
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 AMD EPYC 7713P 64-Core 7713P EPYC 110 220 330 440 550 488.92 490.08 487.36 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 AMD EPYC 7713P 64-Core 7713P EPYC 12 24 36 48 60 52.79 54.39 54.48 MIN: 51.92 / MAX: 55.28 MIN: 52.07 / MAX: 59.3 MIN: 51.94 / MAX: 58.88
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 AMD EPYC 7713P 64-Core 7713P EPYC 14 28 42 56 70 63.50 63.46 63.51 MIN: 62.84 / MAX: 65.31 MIN: 62.8 / MAX: 65.01 MIN: 62.9 / MAX: 65.63
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 AMD EPYC 7713P 64-Core 7713P EPYC 5 10 15 20 25 18.56 18.69 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 AMD EPYC 7713P 64-Core 7713P EPYC 20 40 60 80 100 88.90 89.58 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 AMD EPYC 7713P 64-Core 7713P EPYC 20 40 60 80 100 90.77 92.14 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 AMD EPYC 7713P 64-Core 7713P EPYC 10 20 30 40 50 41.91 42.03 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 7713P EPYC 12 24 36 48 60 52.65 48.95 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 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 AMD EPYC 7713P 64-Core 7713P EPYC 50 100 150 200 250 205.75 207.08 200.08 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 AMD EPYC 7713P 64-Core 7713P EPYC 60 120 180 240 300 249.95 247.72 266.14 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.7709 1.5418 2.3127 3.0836 3.8545 3.395 3.426 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 AMD EPYC 7713P 64-Core 7713P EPYC 15 30 45 60 75 67.09 67.62 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 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 AMD EPYC 7713P 64-Core 7713P EPYC 2 4 6 8 10 7.944 7.972 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 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 AMD EPYC 7713P 64-Core 7713P EPYC 130 260 390 520 650 593.60 598.89 600.27 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 AMD EPYC 7713P 64-Core 7713P EPYC 120 240 360 480 600 556.66 545.04 545.20 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 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 AMD EPYC 7713P 64-Core 7713P EPYC 13 26 39 52 65 55.86 56.10 55.46
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium AMD EPYC 7713P 64-Core 7713P EPYC 14 28 42 56 70 61.22 61.90 61.71
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast AMD EPYC 7713P 64-Core 7713P EPYC 10 20 30 40 50 42.63 42.86 42.41
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast AMD EPYC 7713P 64-Core 7713P EPYC 10 20 30 40 50 45.00 45.65 44.49
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast AMD EPYC 7713P 64-Core 7713P EPYC 11 22 33 44 55 47.09 48.25 48.03
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast AMD EPYC 7713P 64-Core 7713P EPYC 40 80 120 160 200 168.13 168.48 167.84
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast AMD EPYC 7713P 64-Core 7713P EPYC 40 80 120 160 200 179.10 180.76 180.00
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast AMD EPYC 7713P 64-Core 7713P EPYC 40 80 120 160 200 193.18 189.79 193.69
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K AMD EPYC 7713P 64-Core 7713P EPYC 4 8 12 16 20 15.40 15.60 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 AMD EPYC 7713P 64-Core 7713P EPYC 3 6 9 12 15 13.13 12.88 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 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 AMD EPYC 7713P 64-Core 7713P EPYC 1.0073 2.0146 3.0219 4.0292 5.0365 4.464 4.472 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 AMD EPYC 7713P 64-Core 7713P EPYC 3 6 9 12 15 9.045 9.150 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 AMD EPYC 7713P 64-Core 7713P EPYC 3 6 9 12 15 9.585 9.548 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 AMD EPYC 7713P 64-Core 7713P EPYC 5 10 15 20 25 22.54 22.59 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.4193 0.8386 1.2579 1.6772 2.0965 1.86344 1.45532 1.71762 MIN: 1.5 MIN: 1.25 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.8387 1.6774 2.5161 3.3548 4.1935 3.72738 3.54528 3.56112 MIN: 3.42 MIN: 3.35 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.7358 1.4716 2.2074 2.9432 3.679 3.27043 1.48548 2.10553 MIN: 1.94 MIN: 1.15 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.1632 0.3264 0.4896 0.6528 0.816 0.710391 0.725188 0.716229 MIN: 0.6 MIN: 0.59 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.2077 0.4154 0.6231 0.8308 1.0385 0.923039 0.917611 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 AMD EPYC 7713P 64-Core 7713P EPYC 2 4 6 8 10 6.82011 6.76671 6.91927 MIN: 5.98 MIN: 5.9 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.7217 1.4434 2.1651 2.8868 3.6085 3.20738 3.19601 3.17637 MIN: 2.01 MIN: 1.96 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.3664 0.7328 1.0992 1.4656 1.832 1.60913 1.60864 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 7713P EPYC 0.309 0.618 0.927 1.236 1.545 1.36476 1.37350 1.36834 MIN: 1.17 MIN: 1.18 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 AMD EPYC 7713P 64-Core 7713P EPYC 0.1696 0.3392 0.5088 0.6784 0.848 0.753965 0.752407 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 AMD EPYC 7713P 64-Core 7713P EPYC 600 1200 1800 2400 3000 2785.73 2822.90 2656.69 MIN: 2693.48 MIN: 2722.82 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 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 AMD EPYC 7713P 64-Core 7713P EPYC 600 1200 1800 2400 3000 2772.42 2740.04 2756.17 MIN: 2682.92 MIN: 2648.01 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 AMD EPYC 7713P 64-Core 7713P EPYC 300 600 900 1200 1500 1166.56 1168.99 1005.87 MIN: 1122.91 MIN: 1115.05 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 AMD EPYC 7713P 64-Core 7713P EPYC 2 4 6 8 10 4.61080 6.90884 3.32848 MIN: 4.33 MIN: 6.04 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 AMD EPYC 7713P 64-Core 7713P EPYC 600 1200 1800 2400 3000 2572.53 2813.76 2719.20 MIN: 2485.61 MIN: 2717.51 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 AMD EPYC 7713P 64-Core 7713P EPYC 300 600 900 1200 1500 1162.04 1133.90 1181.47 MIN: 1112.33 MIN: 1086.27 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 AMD EPYC 7713P 64-Core 7713P EPYC 3 6 9 12 15 11.33900 9.95838 4.74488 MIN: 10.58 MIN: 8.43 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 AMD EPYC 7713P 64-Core 7713P EPYC 80 160 240 320 400 367.00 357.24 364.55 MIN: 32.26 / MAX: 5000 MIN: 32.07 / MAX: 4615.38 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 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 AMD EPYC 7713P 64-Core 7713P EPYC 200 400 600 800 1000 916.9 919.1 914.1
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 AMD EPYC 7713P 64-Core 7713P EPYC 7 14 21 28 35 30.31 30.26 30.33
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only AMD EPYC 7713P 64-Core 7713P EPYC 70 140 210 280 350 298.27 298.61 297.97
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only AMD EPYC 7713P 64-Core 7713P EPYC 20 40 60 80 100 95.39 95.75 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 AMD EPYC 7713P 64-Core 7713P EPYC 3 6 9 12 15 10.27 10.32 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 AMD EPYC 7713P 64-Core 7713P EPYC 700 1400 2100 2800 3500 3085.67 3081.47 3084.73 MIN: 2689.69 / MAX: 3191.06 MIN: 2850.48 / MAX: 3208.57 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 AMD EPYC 7713P 64-Core 7713P EPYC 2 4 6 8 10 6.98 6.95 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 AMD EPYC 7713P 64-Core 7713P EPYC 1000 2000 3000 4000 5000 4516.48 4515.84 4530.80 MIN: 3852.9 / MAX: 4939.4 MIN: 3635.39 / MAX: 4946.66 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 AMD EPYC 7713P 64-Core 7713P 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 AMD EPYC 7713P 64-Core 7713P EPYC 200 400 600 800 1000 943.02 943.78 936.70 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 AMD EPYC 7713P 64-Core 7713P EPYC 8 16 24 32 40 33.91 33.88 34.13 MIN: 20.21 / MAX: 78.4 MIN: 18.11 / MAX: 79.52 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 AMD EPYC 7713P 64-Core 7713P EPYC 6 12 18 24 30 24.80 24.83 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 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 7713P EPYC 400 800 1200 1600 2000 1737.64 1733.20 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 AMD EPYC 7713P 64-Core 7713P EPYC 5 10 15 20 25 18.40 18.45 18.42 MIN: 10.68 / MAX: 35.55 MIN: 11.69 / MAX: 45.1 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 AMD EPYC 7713P 64-Core 7713P EPYC 200 400 600 800 1000 1036.20 1034.63 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 AMD EPYC 7713P 64-Core 7713P EPYC 7 14 21 28 35 30.86 30.91 30.88 MIN: 14.74 / MAX: 61.76 MIN: 15.57 / MAX: 68.36 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 AMD EPYC 7713P 64-Core 7713P EPYC 30 60 90 120 150 116.43 115.96 116.63 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 AMD EPYC 7713P 64-Core 7713P EPYC 60 120 180 240 300 274.35 275.44 273.86 MIN: 219.29 / MAX: 339.81 MIN: 127.04 / MAX: 333.71 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 AMD EPYC 7713P 64-Core 7713P EPYC 500 1000 1500 2000 2500 2480.88 2480.21 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 AMD EPYC 7713P 64-Core 7713P EPYC 6 12 18 24 30 25.78 25.79 25.78 MIN: 12.45 / MAX: 37.11 MIN: 12.29 / MAX: 41.31 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 AMD EPYC 7713P 64-Core 7713P EPYC 300 600 900 1200 1500 1543.41 1546.83 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 AMD EPYC 7713P 64-Core 7713P EPYC 5 10 15 20 25 20.71 20.66 20.73 MIN: 10.78 / MAX: 59.22 MIN: 12.27 / MAX: 46.32 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 AMD EPYC 7713P 64-Core 7713P EPYC 7K 14K 21K 28K 35K 33486.42 33515.96 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 AMD EPYC 7713P 64-Core 7713P EPYC 8K 16K 24K 32K 40K 33304.79 34748.27 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 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 7713P EPYC 50M 100M 150M 200M 250M 246816797 243600821 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 AMD EPYC 7713P 64-Core 7713P EPYC 90K 180K 270K 360K 450K 416178 416457 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 AMD EPYC 7713P 64-Core 7713P EPYC 90K 180K 270K 360K 450K 430088 432837 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 AMD EPYC 7713P 64-Core 7713P EPYC 60K 120K 180K 240K 300K 261477 258111 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 AMD EPYC 7713P 64-Core 7713P EPYC 2M 4M 6M 8M 10M 8217915 8211489 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 AMD EPYC 7713P 64-Core 7713P EPYC 600K 1200K 1800K 2400K 3000K 2654622 2646022 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 .