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 b 5 2p b 16K 32K 48K 64K 80K 56185.75 74130.18 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 7373x 5 b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 130 260 390 520 650 596.97 427.71 363.74 334.90 332.03 203.65 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 7373x b 5 b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 30 60 90 120 150 149.00 120.39 117.60 116.27 114.45 99.93 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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 5 2p b b 100 200 300 400 500 213 306 309 339 452 469 MIN: 29 / MAX: 1843 MIN: 54 / MAX: 1694 MIN: 54 / MAX: 1845 MIN: 54 / MAX: 2307 MIN: 99 / MAX: 2013 MIN: 84 / MAX: 2565
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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 170 340 510 680 850 768.94 396.80 393.87 259.87 213.46
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x b 5 2p b 2K 4K 6K 8K 10K 1676 1709 1955 5554 7991 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 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 90K 180K 270K 360K 450K 419702 363745 263067 235810 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 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 12 24 36 48 60 53.25 39.48 21.36 19.08 7.35 MIN: 30.07 / MAX: 66.77 MIN: 21.82 / MAX: 52.04 MIN: 19.71 / MAX: 29.28 MIN: 13.65 / MAX: 21.7 MIN: 7.23 / MAX: 7.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x b 30 60 90 120 150 145.49 145.33 144.55 140.06 133.39 MIN: 141.27 / MAX: 245.34 MIN: 142.5 / MAX: 157.84 MIN: 140.93 / MAX: 165.57 MIN: 137.05 / MAX: 145.39 MIN: 129.7 / MAX: 252.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 7373x 30 60 90 120 150 128.35 86.22 84.88 53.52 17.60 MIN: 111.43 / MAX: 240.27 MIN: 82.8 / MAX: 122.51 MIN: 80.66 / MAX: 90.33 MIN: 50.93 / MAX: 71.06 MIN: 17.32 / MAX: 18.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 8 16 24 32 40 35.81 23.89 22.58 19.32 12.71 MIN: 29.14 / MAX: 58.45 MIN: 22.35 / MAX: 46.47 MIN: 21.5 / MAX: 36.98 MIN: 18.86 / MAX: 22.39 MIN: 12.37 / MAX: 13.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 10 20 30 40 50 45.89 33.74 31.98 23.92 18.23 MIN: 34.08 / MAX: 64.66 MIN: 28.02 / MAX: 43.18 MIN: 26.72 / MAX: 48.39 MIN: 23.17 / MAX: 30.48 MIN: 17.97 / MAX: 23.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 30 60 90 120 150 120.27 30.71 25.38 19.58 13.25 MIN: 42.99 / MAX: 192.41 MIN: 27.2 / MAX: 36.97 MIN: 22.8 / MAX: 34.84 MIN: 19.15 / MAX: 44.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 7 14 21 28 35 28.55 10.29 9.78 7.13 4.76 MIN: 12.6 / MAX: 62.18 MIN: 9.46 / MAX: 14.07 MIN: 9.12 / MAX: 10.95 MIN: 6.97 / MAX: 7.76 MIN: 4.68 / MAX: 5.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 12 24 36 48 60 51.80 15.14 13.62 10.89 7.05 MIN: 16.09 / MAX: 93.56 MIN: 13.62 / MAX: 18.75 MIN: 13.43 / MAX: 16.6 MIN: 10.68 / MAX: 11.74 MIN: 6.95 / MAX: 7.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 7373x 8 16 24 32 40 32.81 32.77 29.82 24.04 20.47 MIN: 30.06 / MAX: 44.76 MIN: 29.33 / MAX: 38.66 MIN: 27.79 / MAX: 34.74 MIN: 23.49 / MAX: 30.66 MIN: 20.22 / MAX: 21.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 30 60 90 120 150 112.43 45.41 27.63 19.09 11.76 MIN: 29.99 / MAX: 148.59 MIN: 28.42 / MAX: 186.92 MIN: 23.37 / MAX: 37.04 MIN: 18.77 / MAX: 25.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 6 12 18 24 30 24.56 18.75 18.40 8.12 2.40 MIN: 20.64 / MAX: 91.2 MIN: 15.74 / MAX: 22.59 MIN: 16.72 / MAX: 22.27 MIN: 6.94 / MAX: 11.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 14 28 42 56 70 60.79 46.69 46.67 15.44 6.97 MIN: 47.67 / MAX: 141.85 MIN: 36.92 / MAX: 81.01 MIN: 36.84 / MAX: 52.67 MIN: 13.63 / MAX: 18.67 MIN: 6.9 / MAX: 7.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 11 22 33 44 55 49.46 38.98 37.62 11.71 4.52 MIN: 36.42 / MAX: 176.46 MIN: 32.96 / MAX: 44.92 MIN: 29.31 / MAX: 44.7 MIN: 9.43 / MAX: 20.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 7373x 9 18 27 36 45 37.89 31.88 31.65 15.60 5.86 MIN: 34.63 / MAX: 113.32 MIN: 27.33 / MAX: 35.67 MIN: 28.59 / MAX: 37.25 MIN: 12.95 / MAX: 19.73 MIN: 5.76 / MAX: 6.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core b 7373x 7 14 21 28 35 29.52 28.88 24.19 10.29 4.50 MIN: 25.64 / MAX: 34.13 MIN: 23.66 / MAX: 168.43 MIN: 19.28 / MAX: 34.5 MIN: 9.51 / MAX: 11.93 MIN: 4.43 / MAX: 5.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 9 18 27 36 45 38.67 33.16 28.85 11.30 4.92 MIN: 28.02 / MAX: 119.64 MIN: 24.4 / MAX: 44 MIN: 18.28 / MAX: 40.64 MIN: 9.74 / MAX: 14.96 MIN: 4.84 / MAX: 5.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mobilenet 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 7373x 30 60 90 120 150 115.68 79.82 67.15 17.84 12.23 MIN: 64.45 / MAX: 159.93 MIN: 65.63 / MAX: 95.23 MIN: 21.26 / MAX: 78.89 MIN: 17.55 / MAX: 25.78 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 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 60K 120K 180K 240K 300K 287492 232977 228123 201160 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 100 200 300 400 500 384.96 429.56 436.29 437.35 448.03 MIN: 13.8 / MAX: 6666.67 MIN: 25.01 / MAX: 4615.38 MIN: 24.91 / MAX: 3750 MIN: 35.59 / MAX: 5454.55 MIN: 41.38 / MAX: 2608.7
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 100 200 300 400 500 386.60 433.56 438.36 439.07 467.46 MIN: 13.7 / MAX: 6666.67 MIN: 24.58 / MAX: 4285.71 MIN: 25.08 / MAX: 4285.71 MIN: 35.82 / MAX: 6000 MIN: 40.6 / MAX: 4615.38
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 100 200 300 400 500 351.01 420.29 420.94 428.51 440.56 MIN: 13.78 / MAX: 6666.67 MIN: 24.7 / MAX: 5454.55 MIN: 24.79 / MAX: 3750 MIN: 34.8 / MAX: 5454.55 MIN: 40.98 / MAX: 4000
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 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 11 22 33 44 55 43.77 43.90 44.38 45.67 46.66 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 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 40 80 120 160 200 173.05 172.53 170.68 165.87 162.33 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 11 22 33 44 55 43.64 43.90 44.56 45.72 46.67 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform 5 2p b b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 40 80 120 160 200 173.56 172.57 169.99 165.70 162.30 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 5 b 5 10 15 20 25 21.62 22.10 22.21 22.35 22.83 22.93 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 5 b 30 60 90 120 150 116.81 114.26 113.67 112.96 110.61 110.14 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 b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 3K 6K 9K 12K 15K 8308.33 10352.60 11068.80 11891.40 12025.70 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 b 5 2p b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 2K 4K 6K 8K 10K 5493.35 7176.41 8783.70 9605.63 9627.34 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 60 120 180 240 300 252.02 127.96 127.50 88.73 71.73
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 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 50K 100K 150K 200K 250K 236445 98738 85621 77061 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 50 100 150 200 250 212.97 108.30 108.06 72.02 58.57
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 7373x 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 b 2 4 6 8 10 5.719 5.768 5.774 5.877 6.128 6.390 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 b b 5 2p b 20 40 60 80 100 78.75 76.09 74.59 50.70 40.24 32.97 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, Small Mesh Size - Mesh Time 7373x b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 5 b 6 12 18 24 30 26.39 25.60 24.67 24.27 23.34 22.71 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 400 800 1200 1600 2000 1760.49 1385.33 1377.39 1370.61 1183.63 MIN: 1746.27 MIN: 1314.76 MIN: 1316 MIN: 1312.47 MIN: 1162.73 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 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x b 300 600 900 1200 1500 1349.92 1305.96 1177.81 906.61 749.62 MIN: 1150.78 MIN: 1060.61 MIN: 1030.68 MIN: 898.73 MIN: 731.75 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 300 600 900 1200 1500 1190.8 1227.1 1289.9 1292.1 1312.9 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 b 5 2p b 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 3 6 9 12 15 9.3 9.5 10.1 10.1 10.1 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 800 1600 2400 3200 4000 3911.97 2948.39 2547.35 2493.98 MIN: 3337.4 / MAX: 4451.63 MIN: 1547.54 / MAX: 3537.3 MIN: 1516.1 / MAX: 2961.68 MIN: 2275.06 / MAX: 2587.16 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 FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 3 6 9 12 15 3.17 6.17 8.05 10.63 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
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 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 20K 40K 60K 80K 100K 87133 82360 65657 39756 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 800 1600 2400 3200 4000 3927.00 2952.76 2595.65 2496.52 MIN: 3402.58 / MAX: 4474.47 MIN: 2193.59 / MAX: 3652.32 MIN: 2193.47 / MAX: 2987.27 MIN: 1381.65 / MAX: 2622.64 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 3 6 9 12 15 3.16 6.10 8.04 10.64 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 600 1200 1800 2400 3000 2608.34 2020.21 1782.06 1684.86 MIN: 2421.38 / MAX: 2754.89 MIN: 1823.96 / MAX: 3111.51 MIN: 1650.91 / MAX: 2051.03 MIN: 1636.65 / MAX: 1721.46 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 4 8 12 16 20 4.74 8.86 12.16 15.76 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
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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 7373X 2P 300 600 900 1200 1500 1276.8 1312.0 1375.8 1389.6 1394.3 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 5 10 15 20 25 17.6 18.0 18.6 18.9 19.2 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 2P b 5 2p b 5 b 2 x AMD EPYC 7373X 16-Core 7373x 30 60 90 120 150 99.82 106.98 107.29 110.29 111.07 114.63 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live 7373X 2P b 5 2p b 5 b 2 x AMD EPYC 7373X 16-Core 7373x 11 22 33 44 55 50.59 47.21 47.07 45.79 45.47 44.06 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 300 600 900 1200 1500 1175.01 912.42 826.77 821.36 MIN: 982.69 / MAX: 1202.21 MIN: 878.63 / MAX: 988.74 MIN: 796.91 / MAX: 888.72 MIN: 798.88 / MAX: 834.55 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 8 16 24 32 40 9.71 19.31 27.03 34.91 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 b 5 2p b 7373X 2P 7373x 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1434.2 1445.1 1538.4 1541.7 1559.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 7373x b 160 320 480 640 800 671.6 680.9 702.2 727.0 744.5 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 50 100 150 200 250 230.27 180.91 162.50 151.73 MIN: 166.99 / MAX: 311.89 MIN: 124.49 / MAX: 288.01 MIN: 133.61 / MAX: 274.15 MIN: 131.11 / MAX: 163.85 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 40 80 120 160 200 52.66 98.39 138.84 176.76 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
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 b 5 2p b 7373X 2P 7373x 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1445.9 1498.9 1552.0 1557.2 1563.0 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 70 140 210 280 350 270.8 282.8 288.9 295.0 305.1 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 b 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 300 600 900 1200 1500 1390.0 1441.1 1518.1 1523.6 1523.9 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 7373x b 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 200 400 600 800 1000 913.5 988.5 992.4 1013.4 1022.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed b 5 2p b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1300.8 1336.5 1413.0 1414.1 1415.4 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 5 2p b b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x 200 400 600 800 1000 741.5 752.6 813.6 854.9 865.4 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 b 7373x 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1277.3 1281.1 1309.5 1362.4 1384.1 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 7373x 5 2p b 7373X 2P b 2 x AMD EPYC 7373X 16-Core 600 1200 1800 2400 3000 2661.0 2775.9 2801.4 2819.0 2842.3 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 Vehicle Bike Detection FP16 - Device: CPU b 2 x AMD EPYC 7373X 16-Core 7373x 5 2p b 4 8 12 16 20 16.93 13.52 13.36 12.66 MIN: 13.88 / MAX: 33.11 MIN: 10.48 / MAX: 44.97 MIN: 8.79 / MAX: 23.44 MIN: 8.38 / MAX: 48.88 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 500 1000 1500 2000 2500 598.40 1181.75 1888.20 2524.05 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 4 8 12 16 20 16.93 12.79 12.54 12.26 MIN: 10.73 / MAX: 31.24 MIN: 7.68 / MAX: 43.18 MIN: 9.03 / MAX: 28.23 MIN: 7.79 / MAX: 21.63 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: Vehicle Detection FP16-INT8 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 500 1000 1500 2000 2500 652.03 1274.04 1889.05 2498.74 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 ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU b 2 x AMD EPYC 7373X 16-Core 7373x 5 2p b 6 12 18 24 30 26.54 20.33 19.99 19.69 MIN: 14.19 / MAX: 63.19 MIN: 14.4 / MAX: 46.38 MIN: 12.45 / MAX: 25.77 MIN: 11.03 / MAX: 75.83 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 300 600 900 1200 1500 400.07 786.17 1205.11 1623.83 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 6 12 18 24 30 26.68 20.07 17.91 17.58 MIN: 15.32 / MAX: 46.54 MIN: 13.26 / MAX: 75.83 MIN: 9.87 / MAX: 67.23 MIN: 15.76 / MAX: 27.27 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 300 600 900 1200 1500 454.90 892.67 1198.45 1592.71 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
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 0.3645 0.729 1.0935 1.458 1.8225 1.62 1.33 1.01 0.97 MIN: 0.69 / MAX: 13.34 MIN: 0.64 / MAX: 26.34 MIN: 0.6 / MAX: 20.54 MIN: 0.58 / MAX: 12.03 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 FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 9K 18K 27K 36K 45K 16278.25 31155.59 38091.46 40352.48 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 6 12 18 24 30 23.92 18.25 16.70 16.58 MIN: 15.02 / MAX: 35.74 MIN: 8.84 / MAX: 40.73 MIN: 9.01 / MAX: 41.25 MIN: 12.62 / MAX: 25.96 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 800 1600 2400 3200 4000 964.19 1914.22 2674.29 3504.15 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 0.3915 0.783 1.1745 1.566 1.9575 1.74 1.40 1.09 1.06 MIN: 0.84 / MAX: 14.57 MIN: 0.68 / MAX: 42.1 MIN: 0.64 / MAX: 18.03 MIN: 0.62 / MAX: 11.46 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 7373x 2 x AMD EPYC 7373X 16-Core b 5 2p b 8K 16K 24K 32K 40K 14994.76 29028.25 35737.82 38800.34 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 Real C/S, More Is Better John The Ripper 2023.03.14 Test: HMAC-SHA512 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 5 b b 30M 60M 90M 120M 150M 59680000 67213000 68530000 73260000 94924000 135165000 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 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x b 5 b 3 6 9 12 15 9.906 10.083 10.127 11.224 11.364 12.020 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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 20 40 60 80 100 95.96 49.44 49.27 34.61 27.90
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 7373x 7373X 2P 5 b 2 x AMD EPYC 7373X 16-Core b 5 2p b 20 40 60 80 100 91.27 49.83 48.74 48.72 30.12 25.47 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 7373x 5 b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 20 40 60 80 100 78.60 44.33 43.86 43.78 27.47 23.27 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
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 5 2p b 7373X 2P b 2 x AMD EPYC 7373X 16-Core 20K 40K 60K 80K 100K 88553 32187 31910 31850 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 20 40 60 80 100 78.75 40.61 40.47 27.60 22.51
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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 2 4 6 8 10 2.985 5.193 5.248 7.299 8.222 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 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 7373x b 5 b 4 8 12 16 20 14.79 14.94 15.04 15.80 16.37 17.25 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 b b 5 2p b 1.0895 2.179 3.2685 4.358 5.4475 3.993 4.644 4.676 4.760 4.826 4.842 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b b 90K 180K 270K 360K 450K 155879 241803 243862 396844 396928 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: bcrypt 7373x 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 30K 60K 90K 120K 150K 31573 60152 62360 62551 91276 117542 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 7373x 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 30K 60K 90K 120K 150K 31651 60345 62244 62302 87360 117771 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 b 5 b 5 2p b 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 600 1200 1800 2400 3000 2692.4 2820.4 2850.8 2854.1 2894.2 2907.3 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 7373x 5 b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 12 24 36 48 60 51.26 25.09 23.90 23.27 16.82 14.42 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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 5 2p b b 14 28 42 56 70 20.10 34.86 35.24 39.22 64.04 64.64 MIN: 20.01 / MAX: 21.52 MIN: 34.63 / MAX: 35.47 MIN: 35.01 / MAX: 35.91 MIN: 39 / MAX: 39.63 MIN: 63.29 / MAX: 64.92 MIN: 64.13 / MAX: 65.46
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Obj 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 5 2p b 15 30 45 60 75 23.36 38.43 38.78 44.19 68.70 MIN: 22.36 / MAX: 24.19 MIN: 38.17 / MAX: 39.69 MIN: 38.54 / MAX: 39.74 MIN: 43.94 / MAX: 44.51 MIN: 67.96 / MAX: 69.64
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 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core b 7373x 5 b 7 14 21 28 35 24.22 24.27 24.31 30.11 31.27 31.80 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 7373x 5 b 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 8 16 24 32 40 35.51 19.63 18.33 18.03 13.53 11.80 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 5 2p b b 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 3 6 9 12 15 10.36850 6.92145 6.82625 5.87951 5.78798 MIN: 8.54 MIN: 6.32 MIN: 5.9 MIN: 4.97 MIN: 4.87 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 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 5 2p b b 7 14 21 28 35 30.67 28.59 18.26 15.51 11.34 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 7373x 5 b 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 9 18 27 36 45 37.795953129 19.355553092 18.406629769 17.820390395 11.753321460 9.594769350 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 7373x 2 x AMD EPYC 7373X 16-Core b 7373X 2P 5 2p b 5 b 3 6 9 12 15 10.02 10.20 10.23 10.43 10.50 10.83 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 7373x b 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 6 12 18 24 30 25.22 17.21 13.80 13.72 10.76 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 7373x 7373X 2P 5 b 2 x AMD EPYC 7373X 16-Core b 5 2p b 16 32 48 64 80 21.39 40.00 40.12 40.36 63.36 73.26 MIN: 21.25 / MAX: 21.62 MIN: 39.56 / MAX: 40.59 MIN: 39.64 / MAX: 40.56 MIN: 39.78 / MAX: 41.03 MIN: 62.44 / MAX: 66.52 MIN: 72.13 / MAX: 74.82
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 5 2p b 20 40 60 80 100 24.91 42.74 42.83 48.51 76.63 MIN: 24.47 / MAX: 26.52 MIN: 42.44 / MAX: 44.03 MIN: 42.56 / MAX: 43.84 MIN: 48.29 / MAX: 48.79 MIN: 75.97 / MAX: 78.17
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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 11K 22K 33K 44K 55K 15435.0 29155.1 29155.1 36827.5 51199.1 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 9K 18K 27K 36K 45K 11662.0 21420.1 21866.3 32799.5 41983.3 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 7373x 5 b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 20 40 60 80 100 23.59 43.98 44.22 44.88 81.09 MIN: 23.47 / MAX: 23.76 MIN: 43.29 / MAX: 44.67 MIN: 43.54 / MAX: 44.81 MIN: 44.32 / MAX: 45.69 MIN: 80.03 / MAX: 82.56
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 b 5 2p b b 16 32 48 64 80 23.57 40.18 40.51 45.11 73.78 73.83 MIN: 23.24 / MAX: 24.98 MIN: 39.87 / MAX: 41.09 MIN: 40.25 / MAX: 41.33 MIN: 44.88 / MAX: 45.48 MIN: 72.91 / MAX: 74.82 MIN: 73.34 / MAX: 74.66
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 5 2p b 7373X 2P 2 x AMD EPYC 7373X 16-Core 7373x b 0.649 1.298 1.947 2.596 3.245 2.88451 2.17496 2.05818 1.87446 1.26107 MIN: 1.79 MIN: 1.61 MIN: 1.58 MIN: 1.72 MIN: 1.06 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 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x b 200 400 600 800 1000 434.78 458.72 458.72 729.93 806.45 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P b 5 2p b 5 b 16 32 48 64 80 49.20 58.36 58.70 67.55 69.54 70.86 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 b 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 7373x 0.2804 0.5608 0.8412 1.1216 1.402 1.246180 0.948143 0.917226 0.750853 0.609746 MIN: 1.13 MIN: 0.62 MIN: 0.77 MIN: 0.57 MIN: 0.57 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 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 5 2p b b 4K 8K 12K 16K 20K 13312.8 13312.8 14792.0 15662.1 19018.3 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 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 7373x b 4K 8K 12K 16K 20K 11576.3 12102.5 12678.9 13312.8 20481.2 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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 2p b 5 b b 20 40 60 80 100 92.98 100.59 101.82 104.17 108.36 109.71 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 1300 2600 3900 5200 6500 5833 5729 5498 5485 5406 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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core b 5 2p b 0.4352 0.8704 1.3056 1.7408 2.176 1.934160 1.043480 1.034560 0.827622 0.669349 MIN: 1.89 MIN: 0.98 MIN: 0.98 MIN: 0.78 MIN: 0.6 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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 5 b 50 100 150 200 250 152.19 162.78 163.33 176.11 214.93 226.73 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 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7373X 2P 7373x 1000 2000 3000 4000 5000 4885 4818 4642 4614 4563 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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 5 b b 40 80 120 160 200 147.35 159.26 166.54 172.57 196.06 198.14 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 7373x 7373X 2P b 2 x AMD EPYC 7373X 16-Core 5 2p b 2 4 6 8 10 6.86468983 4.75395298 4.43804121 3.93247390 2.48386908 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 7373x b 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b 0.8501 1.7002 2.5503 3.4004 4.2505 3.77803 3.12487 2.73357 2.70057 1.89859 MIN: 3.69 MIN: 2.06 MIN: 2.6 MIN: 2.52 MIN: 1.58 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 7373x 7373X 2P 2 x AMD EPYC 7373X 16-Core 5 2p b b 5 b 130 260 390 520 650 487.08 522.16 525.64 565.06 601.98 622.73 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 7373X 2P 7373x 2 x AMD EPYC 7373X 16-Core 5 2p b b 5 b 120 240 360 480 600 490.99 506.52 510.79 546.03 549.83 560.57 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.