tests for a future article.
b Processor: AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Notes: Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
5 b Changed Processor to AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads) .
5 2p b Changed Processor to 2 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads) .
Changed Memory to 512GB .
7373x Changed Processor to AMD EPYC 7373X 16-Core @ 3.05GHz (16 Cores / 32 Threads) .
Changed Memory to 256GB .
2 x AMD EPYC 7373X 16-Core 7373X 2P Changed Processor to 2 x AMD EPYC 7373X 16-Core @ 3.05GHz (32 Cores / 64 Threads) .
Changed Memory to 512GB .
PETSc PETSc, the Portable, Extensible Toolkit for Scientific Computation, is for the scalable (parallel) solution of scientific applications modeled by partial differential equations. This test profile runs the PETSc "make streams" benchmark and records the throughput rate when all available cores are utilized for the MPI Streams build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better PETSc 3.19 Test: Streams 5 2p b b 16K 32K 48K 64K 80K 74130.18 56185.75 1. (CC) gcc options: -fPIC -O3 -O2 -lpthread -ludev -lpciaccess -lm
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 b 7373x 130 260 390 520 650 203.65 332.03 334.90 363.74 427.71 596.97 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 b b 7373x 30 60 90 120 150 99.93 114.45 116.27 117.60 120.39 149.00 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC b 5 2p b 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 100 200 300 400 500 469 452 339 309 306 213 MIN: 84 / MAX: 2565 MIN: 99 / MAX: 2013 MIN: 54 / MAX: 2307 MIN: 54 / MAX: 1845 MIN: 54 / MAX: 1694 MIN: 29 / MAX: 1843
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 3.5 Blend File: Barbershop - Compute: CPU-Only 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 170 340 510 680 850 213.46 259.87 393.87 396.80 768.94
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS 5 2p b b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 2K 4K 6K 8K 10K 7991 5554 1955 1709 1676 1. (CXX) g++ options: -flto -pthread
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Graph API b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 90K 180K 270K 360K 450K 235810 263067 363745 419702 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 12 24 36 48 60 7.35 19.08 21.36 39.48 53.25 MIN: 7.23 / MAX: 7.88 MIN: 13.65 / MAX: 21.7 MIN: 19.71 / MAX: 29.28 MIN: 21.82 / MAX: 52.04 MIN: 30.07 / MAX: 66.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 30 60 90 120 150 133.39 140.06 144.55 145.33 145.49 MIN: 129.7 / MAX: 252.77 MIN: 137.05 / MAX: 145.39 MIN: 140.93 / MAX: 165.57 MIN: 142.5 / MAX: 157.84 MIN: 141.27 / MAX: 245.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m 7373x b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 30 60 90 120 150 17.60 53.52 84.88 86.22 128.35 MIN: 17.32 / MAX: 18.74 MIN: 50.93 / MAX: 71.06 MIN: 80.66 / MAX: 90.33 MIN: 82.8 / MAX: 122.51 MIN: 111.43 / MAX: 240.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 8 16 24 32 40 12.71 19.32 22.58 23.89 35.81 MIN: 12.37 / MAX: 13.22 MIN: 18.86 / MAX: 22.39 MIN: 21.5 / MAX: 36.98 MIN: 22.35 / MAX: 46.47 MIN: 29.14 / MAX: 58.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 10 20 30 40 50 18.23 23.92 31.98 33.74 45.89 MIN: 17.97 / MAX: 23.77 MIN: 23.17 / MAX: 30.48 MIN: 26.72 / MAX: 48.39 MIN: 28.02 / MAX: 43.18 MIN: 34.08 / MAX: 64.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 30 60 90 120 150 13.25 19.58 25.38 30.71 120.27 MIN: 19.15 / MAX: 44.79 MIN: 22.8 / MAX: 34.84 MIN: 27.2 / MAX: 36.97 MIN: 42.99 / MAX: 192.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 7 14 21 28 35 4.76 7.13 9.78 10.29 28.55 MIN: 4.68 / MAX: 5.71 MIN: 6.97 / MAX: 7.76 MIN: 9.12 / MAX: 10.95 MIN: 9.46 / MAX: 14.07 MIN: 12.6 / MAX: 62.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 12 24 36 48 60 7.05 10.89 13.62 15.14 51.80 MIN: 6.95 / MAX: 7.65 MIN: 10.68 / MAX: 11.74 MIN: 13.43 / MAX: 16.6 MIN: 13.62 / MAX: 18.75 MIN: 16.09 / MAX: 93.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 7373x b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 8 16 24 32 40 20.47 24.04 29.82 32.77 32.81 MIN: 20.22 / MAX: 21.34 MIN: 23.49 / MAX: 30.66 MIN: 27.79 / MAX: 34.74 MIN: 29.33 / MAX: 38.66 MIN: 30.06 / MAX: 44.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 30 60 90 120 150 11.76 19.09 27.63 45.41 112.43 MIN: 18.77 / MAX: 25.76 MIN: 23.37 / MAX: 37.04 MIN: 28.42 / MAX: 186.92 MIN: 29.99 / MAX: 148.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 6 12 18 24 30 2.40 8.12 18.40 18.75 24.56 MIN: 6.94 / MAX: 11.1 MIN: 16.72 / MAX: 22.27 MIN: 15.74 / MAX: 22.59 MIN: 20.64 / MAX: 91.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 14 28 42 56 70 6.97 15.44 46.67 46.69 60.79 MIN: 6.9 / MAX: 7.4 MIN: 13.63 / MAX: 18.67 MIN: 36.84 / MAX: 52.67 MIN: 36.92 / MAX: 81.01 MIN: 47.67 / MAX: 141.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 11 22 33 44 55 4.52 11.71 37.62 38.98 49.46 MIN: 9.43 / MAX: 20.81 MIN: 29.31 / MAX: 44.7 MIN: 32.96 / MAX: 44.92 MIN: 36.42 / MAX: 176.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 7373x b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 9 18 27 36 45 5.86 15.60 31.65 31.88 37.89 MIN: 5.76 / MAX: 6.62 MIN: 12.95 / MAX: 19.73 MIN: 28.59 / MAX: 37.25 MIN: 27.33 / MAX: 35.67 MIN: 34.63 / MAX: 113.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 7373x b 2 x AMD EPYC 7373X 16-Core 5 2p b 7373X 2P 7 14 21 28 35 4.50 10.29 24.19 28.88 29.52 MIN: 4.43 / MAX: 5.26 MIN: 9.51 / MAX: 11.93 MIN: 19.28 / MAX: 34.5 MIN: 23.66 / MAX: 168.43 MIN: 25.64 / MAX: 34.13 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 9 18 27 36 45 4.92 11.30 28.85 33.16 38.67 MIN: 4.84 / MAX: 5.41 MIN: 9.74 / MAX: 14.96 MIN: 18.28 / MAX: 40.64 MIN: 24.4 / MAX: 44 MIN: 28.02 / MAX: 119.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mobilenet 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 30 60 90 120 150 12.23 17.84 67.15 79.82 115.68 MIN: 17.55 / MAX: 25.78 MIN: 21.26 / MAX: 78.89 MIN: 65.63 / MAX: 95.23 MIN: 64.45 / MAX: 159.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Stitching b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 60K 120K 180K 240K 300K 201160 228123 232977 287492 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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, Third Run 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 100 200 300 400 500 448.03 437.35 436.29 429.56 384.96 MIN: 41.38 / MAX: 2608.7 MIN: 35.59 / MAX: 5454.55 MIN: 24.91 / MAX: 3750 MIN: 25.01 / MAX: 4615.38 MIN: 13.8 / MAX: 6666.67
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 100 200 300 400 500 467.46 439.07 438.36 433.56 386.60 MIN: 40.6 / MAX: 4615.38 MIN: 35.82 / MAX: 6000 MIN: 25.08 / MAX: 4285.71 MIN: 24.58 / MAX: 4285.71 MIN: 13.7 / MAX: 6666.67
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 100 200 300 400 500 440.56 428.51 420.94 420.29 351.01 MIN: 40.98 / MAX: 4000 MIN: 34.8 / MAX: 5454.55 MIN: 24.79 / MAX: 3750 MIN: 24.7 / MAX: 5454.55 MIN: 13.78 / MAX: 6666.67
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 11 22 33 44 55 46.66 45.67 44.38 43.90 43.77 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 40 80 120 160 200 162.33 165.87 170.68 172.53 173.05 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 11 22 33 44 55 46.67 45.72 44.56 43.90 43.64 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 40 80 120 160 200 162.30 165.70 169.99 172.57 173.56 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload 5 b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 5 10 15 20 25 22.93 22.83 22.35 22.21 22.10 21.62 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload 5 b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 30 60 90 120 150 110.14 110.61 112.96 113.67 114.26 116.81 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 7373x b 3K 6K 9K 12K 15K 12025.70 11891.40 11068.80 10352.60 8308.33 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Gridding 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 5 2p b b 2K 4K 6K 8K 10K 9627.34 9605.63 8783.70 7176.41 5493.35 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
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 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 60 120 180 240 300 71.73 88.73 127.50 127.96 252.02
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Core b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 50K 100K 150K 200K 250K 77061 85621 98738 236445 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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 3.5 Blend File: Classroom - Compute: CPU-Only 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 50 100 150 200 250 58.57 72.02 108.06 108.30 212.97
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 1.8 Video Input: Bosphorus 4K - Video Preset: Fast 5 b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 7373x 2 4 6 8 10 6.390 6.128 5.877 5.774 5.768 5.719 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time 5 2p b b 5 b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 20 40 60 80 100 32.97 40.24 50.70 74.59 76.09 78.75 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 7373x 6 12 18 24 30 22.71 23.34 24.27 24.67 25.60 26.39 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
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 3.1 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 7373x 400 800 1200 1600 2000 1183.63 1370.61 1377.39 1385.33 1760.49 MIN: 1162.73 MIN: 1312.47 MIN: 1316 MIN: 1314.76 MIN: 1746.27 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU b 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b 7373X 2P 300 600 900 1200 1500 749.62 906.61 1177.81 1305.96 1349.92 MIN: 731.75 MIN: 898.73 MIN: 1030.68 MIN: 1060.61 MIN: 1150.78 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 300 600 900 1200 1500 1312.9 1292.1 1289.9 1227.1 1190.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 5 2p b b 3 6 9 12 15 10.1 10.1 10.1 9.5 9.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
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 ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 800 1600 2400 3200 4000 2493.98 2547.35 2948.39 3911.97 MIN: 2275.06 / MAX: 2587.16 MIN: 1516.1 / MAX: 2961.68 MIN: 1547.54 / MAX: 3537.3 MIN: 3337.4 / MAX: 4451.63 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 3 6 9 12 15 10.63 8.05 6.17 3.17 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: DNN - Deep Neural Network b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 20K 40K 60K 80K 100K 39756 65657 82360 87133 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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 ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 800 1600 2400 3200 4000 2496.52 2595.65 2952.76 3927.00 MIN: 1381.65 / MAX: 2622.64 MIN: 2193.47 / MAX: 2987.27 MIN: 2193.59 / MAX: 3652.32 MIN: 3402.58 / MAX: 4474.47 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 3 6 9 12 15 10.64 8.04 6.10 3.16 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 600 1200 1800 2400 3000 1684.86 1782.06 2020.21 2608.34 MIN: 1636.65 / MAX: 1721.46 MIN: 1650.91 / MAX: 2051.03 MIN: 1823.96 / MAX: 3111.51 MIN: 2421.38 / MAX: 2754.89 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 4 8 12 16 20 15.76 12.16 8.86 4.74 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed 7373X 2P 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 300 600 900 1200 1500 1394.3 1389.6 1375.8 1312.0 1276.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 5 10 15 20 25 19.2 18.9 18.6 18.0 17.6 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
FFmpeg This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live 7373x 2 x AMD EPYC 7373X 16-Core 5 b 5 2p b b 7373X 2P 30 60 90 120 150 114.63 111.07 110.29 107.29 106.98 99.82 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live 7373x 2 x AMD EPYC 7373X 16-Core 5 b 5 2p b b 7373X 2P 11 22 33 44 55 44.06 45.47 45.79 47.07 47.21 50.59 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 300 600 900 1200 1500 821.36 826.77 912.42 1175.01 MIN: 798.88 / MAX: 834.55 MIN: 796.91 / MAX: 888.72 MIN: 878.63 / MAX: 988.74 MIN: 982.69 / MAX: 1202.21 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 8 16 24 32 40 34.91 27.03 19.31 9.71 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed 2 x AMD EPYC 7373X 16-Core 7373x 7373X 2P 5 2p b b 300 600 900 1200 1500 1559.8 1541.7 1538.4 1445.1 1434.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 160 320 480 640 800 744.5 727.0 702.2 680.9 671.6 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
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 ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 50 100 150 200 250 151.73 162.50 180.91 230.27 MIN: 131.11 / MAX: 163.85 MIN: 133.61 / MAX: 274.15 MIN: 124.49 / MAX: 288.01 MIN: 166.99 / MAX: 311.89 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 40 80 120 160 200 176.76 138.84 98.39 52.66 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed 2 x AMD EPYC 7373X 16-Core 7373x 7373X 2P 5 2p b b 300 600 900 1200 1500 1563.0 1557.2 1552.0 1498.9 1445.9 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 70 140 210 280 350 305.1 295.0 288.9 282.8 270.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b b 300 600 900 1200 1500 1523.9 1523.6 1518.1 1441.1 1390.0 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed 2 x AMD EPYC 7373X 16-Core 5 2p b 7373X 2P b 7373x 200 400 600 800 1000 1022.3 1013.4 992.4 988.5 913.5 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 5 2p b b 300 600 900 1200 1500 1415.4 1414.1 1413.0 1336.5 1300.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 200 400 600 800 1000 865.4 854.9 813.6 752.6 741.5 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 7373x b 300 600 900 1200 1500 1384.1 1362.4 1309.5 1281.1 1277.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed 2 x AMD EPYC 7373X 16-Core b 7373X 2P 5 2p b 7373x 600 1200 1800 2400 3000 2842.3 2819.0 2801.4 2775.9 2661.0 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
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 ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 5 2p b 7373x 2 x AMD EPYC 7373X 16-Core b 4 8 12 16 20 12.66 13.36 13.52 16.93 MIN: 8.38 / MAX: 48.88 MIN: 8.79 / MAX: 23.44 MIN: 10.48 / MAX: 44.97 MIN: 13.88 / MAX: 33.11 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 500 1000 1500 2000 2500 2524.05 1888.20 1181.75 598.40 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 4 8 12 16 20 12.26 12.54 12.79 16.93 MIN: 7.79 / MAX: 21.63 MIN: 9.03 / MAX: 28.23 MIN: 7.68 / MAX: 43.18 MIN: 10.73 / MAX: 31.24 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 500 1000 1500 2000 2500 2498.74 1889.05 1274.04 652.03 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 5 2p b 7373x 2 x AMD EPYC 7373X 16-Core b 6 12 18 24 30 19.69 19.99 20.33 26.54 MIN: 11.03 / MAX: 75.83 MIN: 12.45 / MAX: 25.77 MIN: 14.4 / MAX: 46.38 MIN: 14.19 / MAX: 63.19 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 300 600 900 1200 1500 1623.83 1205.11 786.17 400.07 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 6 12 18 24 30 17.58 17.91 20.07 26.68 MIN: 15.76 / MAX: 27.27 MIN: 9.87 / MAX: 67.23 MIN: 13.26 / MAX: 75.83 MIN: 15.32 / MAX: 46.54 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 300 600 900 1200 1500 1592.71 1198.45 892.67 454.90 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 0.3645 0.729 1.0935 1.458 1.8225 0.97 1.01 1.33 1.62 MIN: 0.58 / MAX: 12.03 MIN: 0.6 / MAX: 20.54 MIN: 0.64 / MAX: 26.34 MIN: 0.69 / MAX: 13.34 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 9K 18K 27K 36K 45K 40352.48 38091.46 31155.59 16278.25 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 6 12 18 24 30 16.58 16.70 18.25 23.92 MIN: 12.62 / MAX: 25.96 MIN: 9.01 / MAX: 41.25 MIN: 8.84 / MAX: 40.73 MIN: 15.02 / MAX: 35.74 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 800 1600 2400 3200 4000 3504.15 2674.29 1914.22 964.19 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 0.3915 0.783 1.1745 1.566 1.9575 1.06 1.09 1.40 1.74 MIN: 0.62 / MAX: 11.46 MIN: 0.64 / MAX: 18.03 MIN: 0.68 / MAX: 42.1 MIN: 0.84 / MAX: 14.57 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373x 8K 16K 24K 32K 40K 38800.34 35737.82 29028.25 14994.76 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: HMAC-SHA512 b 5 b 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 30M 60M 90M 120M 150M 135165000 94924000 73260000 68530000 67213000 59680000 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
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 1.8 Video Input: Bosphorus 4K - Video Preset: Faster 5 b b 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 3 6 9 12 15 12.020 11.364 11.224 10.127 10.083 9.906 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
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 3.5 Blend File: Fishy Cat - Compute: CPU-Only 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 20 40 60 80 100 27.90 34.61 49.27 49.44 95.96
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace 5 2p b b 2 x AMD EPYC 7373X 16-Core 5 b 7373X 2P 7373x 20 40 60 80 100 25.47 30.12 48.72 48.74 49.83 91.27 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 b 7373x 20 40 60 80 100 23.27 27.47 43.78 43.86 44.33 78.60 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Object Detection 2 x AMD EPYC 7373X 16-Core b 7373X 2P 5 2p b 20K 40K 60K 80K 100K 31850 31910 32187 88553 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
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 3.5 Blend File: BMW27 - Compute: CPU-Only 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 20 40 60 80 100 22.51 27.60 40.47 40.61 78.75
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 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 2 4 6 8 10 8.222 7.299 5.248 5.193 2.985 1. (CXX) g++ options: -O3
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 1.8 Video Input: Bosphorus 1080p - Video Preset: Fast 5 b b 7373x 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 4 8 12 16 20 17.25 16.37 15.80 15.04 14.94 14.79 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 4 - Input: Bosphorus 4K 5 2p b b 5 b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 1.0895 2.179 3.2685 4.358 5.4475 4.842 4.826 4.760 4.676 4.644 3.993 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating b 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 90K 180K 270K 360K 450K 396928 396844 243862 241803 155879 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: bcrypt 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 7373x 30K 60K 90K 120K 150K 117542 91276 62551 62360 60152 31573 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: Blowfish 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 7373x 30K 60K 90K 120K 150K 117771 87360 62302 62244 60345 31651 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.30 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 5 2p b 5 b b 600 1200 1800 2400 3000 2907.3 2894.2 2854.1 2850.8 2820.4 2692.4 1. (CXX) g++ options: -O3 -march=native -fPIE -pie
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 b 7373x 12 24 36 48 60 14.42 16.82 23.27 23.90 25.09 51.26 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj b 5 2p b 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 14 28 42 56 70 64.64 64.04 39.22 35.24 34.86 20.10 MIN: 64.13 / MAX: 65.46 MIN: 63.29 / MAX: 64.92 MIN: 39 / MAX: 39.63 MIN: 35.01 / MAX: 35.91 MIN: 34.63 / MAX: 35.47 MIN: 20.01 / MAX: 21.52
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Obj 5 2p b 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 15 30 45 60 75 68.70 44.19 38.78 38.43 23.36 MIN: 67.96 / MAX: 69.64 MIN: 43.94 / MAX: 44.51 MIN: 38.54 / MAX: 39.74 MIN: 38.17 / MAX: 39.69 MIN: 22.36 / MAX: 24.19
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 1.8 Video Input: Bosphorus 1080p - Video Preset: Faster 5 b 7373x b 2 x AMD EPYC 7373X 16-Core 5 2p b 7373X 2P 7 14 21 28 35 31.80 31.27 30.11 24.31 24.27 24.22 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 b 7373x 8 16 24 32 40 11.80 13.53 18.03 18.33 19.63 35.51 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
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 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x b 5 2p b 3 6 9 12 15 5.78798 5.87951 6.82625 6.92145 10.36850 MIN: 4.87 MIN: 4.97 MIN: 5.9 MIN: 6.32 MIN: 8.54 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics b 5 2p b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 7 14 21 28 35 11.34 15.51 18.26 28.59 30.67 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 7373x 9 18 27 36 45 9.594769350 11.753321460 17.820390395 18.406629769 19.355553092 37.795953129 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 4 - Input: Bosphorus 1080p 5 b 5 2p b 7373X 2P b 2 x AMD EPYC 7373X 16-Core 7373x 3 6 9 12 15 10.83 10.50 10.43 10.23 10.20 10.02 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 6 12 18 24 30 10.76 13.72 13.80 17.21 25.22 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Crown 5 2p b b 2 x AMD EPYC 7373X 16-Core 5 b 7373X 2P 7373x 16 32 48 64 80 73.26 63.36 40.36 40.12 40.00 21.39 MIN: 72.13 / MAX: 74.82 MIN: 62.44 / MAX: 66.52 MIN: 39.78 / MAX: 41.03 MIN: 39.64 / MAX: 40.56 MIN: 39.56 / MAX: 40.59 MIN: 21.25 / MAX: 21.62
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon 5 2p b 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 20 40 60 80 100 76.63 48.51 42.83 42.74 24.91 MIN: 75.97 / MAX: 78.17 MIN: 48.29 / MAX: 48.79 MIN: 42.56 / MAX: 43.84 MIN: 42.44 / MAX: 44.03 MIN: 24.47 / MAX: 26.52
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 11K 22K 33K 44K 55K 51199.1 36827.5 29155.1 29155.1 15435.0 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 9K 18K 27K 36K 45K 41983.3 32799.5 21866.3 21420.1 11662.0 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Crown 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 b 7373x 20 40 60 80 100 81.09 44.88 44.22 43.98 23.59 MIN: 80.03 / MAX: 82.56 MIN: 44.32 / MAX: 45.69 MIN: 43.54 / MAX: 44.81 MIN: 43.29 / MAX: 44.67 MIN: 23.47 / MAX: 23.76
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon b 5 2p b 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 16 32 48 64 80 73.83 73.78 45.11 40.51 40.18 23.57 MIN: 73.34 / MAX: 74.66 MIN: 72.91 / MAX: 74.82 MIN: 44.88 / MAX: 45.48 MIN: 40.25 / MAX: 41.33 MIN: 39.87 / MAX: 41.09 MIN: 23.24 / MAX: 24.98
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 3.1 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU b 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 0.649 1.298 1.947 2.596 3.245 1.26107 1.87446 2.05818 2.17496 2.88451 MIN: 1.06 MIN: 1.72 MIN: 1.58 MIN: 1.61 MIN: 1.79 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 200 400 600 800 1000 806.45 729.93 458.72 458.72 434.78 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 8 - Input: Bosphorus 4K 5 b 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 16 32 48 64 80 70.86 69.54 67.55 58.70 58.36 49.20 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
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 3.1 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b 7373X 2P b 0.2804 0.5608 0.8412 1.1216 1.402 0.609746 0.750853 0.917226 0.948143 1.246180 MIN: 0.57 MIN: 0.57 MIN: 0.77 MIN: 0.62 MIN: 1.13 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding b 5 2p b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 4K 8K 12K 16K 20K 19018.3 15662.1 14792.0 13312.8 13312.8 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding b 7373x 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 4K 8K 12K 16K 20K 20481.2 13312.8 12678.9 12102.5 11576.3 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 8 - Input: Bosphorus 1080p b 5 b 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 20 40 60 80 100 109.71 108.36 104.17 101.82 100.59 92.98 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Google Draco Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Church Facade 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 1300 2600 3900 5200 6500 5406 5485 5498 5729 5833 1. (CXX) g++ options: -O3
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 3.1 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 0.4352 0.8704 1.3056 1.7408 2.176 0.669349 0.827622 1.034560 1.043480 1.934160 MIN: 0.6 MIN: 0.78 MIN: 0.98 MIN: 0.98 MIN: 1.89 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 12 - Input: Bosphorus 4K 5 b b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 50 100 150 200 250 226.73 214.93 176.11 163.33 162.78 152.19 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Google Draco Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Lion 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 1000 2000 3000 4000 5000 4563 4614 4642 4818 4885 1. (CXX) g++ options: -O3
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 13 - Input: Bosphorus 4K b 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 40 80 120 160 200 198.14 196.06 172.57 166.54 159.26 147.35 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Xcompact3d Incompact3d Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction 5 2p b 2 x AMD EPYC 7373X 16-Core b 7373X 2P 7373x 2 4 6 8 10 2.48386908 3.93247390 4.43804121 4.75395298 6.86468983 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
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 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 7373x 0.8501 1.7002 2.5503 3.4004 4.2505 1.89859 2.70057 2.73357 3.12487 3.77803 MIN: 1.58 MIN: 2.52 MIN: 2.6 MIN: 2.06 MIN: 3.69 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 12 - Input: Bosphorus 1080p 5 b b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 130 260 390 520 650 622.73 601.98 565.06 525.64 522.16 487.08 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 13 - Input: Bosphorus 1080p 5 b b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 7373X 2P 120 240 360 480 600 560.57 549.83 546.03 510.79 506.52 490.99 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
b Processor: AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Notes: Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 May 2023 08:49 by user phoronix.
5 b Processor: AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Notes: Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 May 2023 09:24 by user phoronix.
5 2p b Processor: 2 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Notes: Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 May 2023 12:32 by user phoronix.
7373x Processor: AMD EPYC 7373X 16-Core @ 3.05GHz (16 Cores / 32 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Notes: Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 May 2023 08:10 by user phoronix.
2 x AMD EPYC 7373X 16-Core Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Notes: Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 May 2023 11:57 by user phoronix.
7373X 2P Processor: 2 x AMD EPYC 7373X 16-Core @ 3.05GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Python Notes: Python 3.10.6Security 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 and seccomp + 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 May 2023 15:10 by user phoronix.