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