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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 130 260 390 520 650 363.74 596.97 332.03 427.71 203.65 334.90 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 120.39 149.00 116.27 117.60 99.93 114.45 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 100 200 300 400 500 469 213 306 339 452 309 MIN: 84 / MAX: 2565 MIN: 29 / MAX: 1843 MIN: 54 / MAX: 1694 MIN: 54 / MAX: 2307 MIN: 99 / MAX: 2013 MIN: 54 / MAX: 1845
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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 170 340 510 680 850 259.87 768.94 396.80 213.46 393.87
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 2K 4K 6K 8K 10K 5554 1955 1709 7991 1676 1. (CXX) g++ options: -flto -pthread
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Graph API b 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 90K 180K 270K 360K 450K 235810 363745 419702 263067 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 12 24 36 48 60 19.08 7.35 39.48 53.25 21.36 MIN: 13.65 / MAX: 21.7 MIN: 7.23 / MAX: 7.88 MIN: 21.82 / MAX: 52.04 MIN: 30.07 / MAX: 66.77 MIN: 19.71 / MAX: 29.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 133.39 140.06 144.55 145.49 145.33 MIN: 129.7 / MAX: 252.77 MIN: 137.05 / MAX: 145.39 MIN: 140.93 / MAX: 165.57 MIN: 141.27 / MAX: 245.34 MIN: 142.5 / MAX: 157.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 53.52 17.60 84.88 128.35 86.22 MIN: 50.93 / MAX: 71.06 MIN: 17.32 / MAX: 18.74 MIN: 80.66 / MAX: 90.33 MIN: 111.43 / MAX: 240.27 MIN: 82.8 / MAX: 122.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 8 16 24 32 40 19.32 12.71 23.89 35.81 22.58 MIN: 18.86 / MAX: 22.39 MIN: 12.37 / MAX: 13.22 MIN: 22.35 / MAX: 46.47 MIN: 29.14 / MAX: 58.45 MIN: 21.5 / MAX: 36.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 10 20 30 40 50 23.92 18.23 33.74 45.89 31.98 MIN: 23.17 / MAX: 30.48 MIN: 17.97 / MAX: 23.77 MIN: 28.02 / MAX: 43.18 MIN: 34.08 / MAX: 64.66 MIN: 26.72 / MAX: 48.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 19.58 13.25 30.71 120.27 25.38 MIN: 19.15 / MAX: 44.79 MIN: 27.2 / MAX: 36.97 MIN: 42.99 / MAX: 192.41 MIN: 22.8 / MAX: 34.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 7 14 21 28 35 7.13 4.76 10.29 28.55 9.78 MIN: 6.97 / MAX: 7.76 MIN: 4.68 / MAX: 5.71 MIN: 9.46 / MAX: 14.07 MIN: 12.6 / MAX: 62.18 MIN: 9.12 / MAX: 10.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 12 24 36 48 60 10.89 7.05 15.14 51.80 13.62 MIN: 10.68 / MAX: 11.74 MIN: 6.95 / MAX: 7.65 MIN: 13.62 / MAX: 18.75 MIN: 16.09 / MAX: 93.56 MIN: 13.43 / MAX: 16.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 8 16 24 32 40 24.04 20.47 29.82 32.81 32.77 MIN: 23.49 / MAX: 30.66 MIN: 20.22 / MAX: 21.34 MIN: 27.79 / MAX: 34.74 MIN: 30.06 / MAX: 44.76 MIN: 29.33 / MAX: 38.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 19.09 11.76 45.41 112.43 27.63 MIN: 18.77 / MAX: 25.76 MIN: 28.42 / MAX: 186.92 MIN: 29.99 / MAX: 148.59 MIN: 23.37 / MAX: 37.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 6 12 18 24 30 8.12 2.40 18.75 24.56 18.40 MIN: 6.94 / MAX: 11.1 MIN: 15.74 / MAX: 22.59 MIN: 20.64 / MAX: 91.2 MIN: 16.72 / MAX: 22.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 14 28 42 56 70 15.44 6.97 46.69 60.79 46.67 MIN: 13.63 / MAX: 18.67 MIN: 6.9 / MAX: 7.4 MIN: 36.92 / MAX: 81.01 MIN: 47.67 / MAX: 141.85 MIN: 36.84 / MAX: 52.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 11 22 33 44 55 11.71 4.52 38.98 49.46 37.62 MIN: 9.43 / MAX: 20.81 MIN: 32.96 / MAX: 44.92 MIN: 36.42 / MAX: 176.46 MIN: 29.31 / MAX: 44.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 9 18 27 36 45 15.60 5.86 31.65 37.89 31.88 MIN: 12.95 / MAX: 19.73 MIN: 5.76 / MAX: 6.62 MIN: 28.59 / MAX: 37.25 MIN: 34.63 / MAX: 113.32 MIN: 27.33 / MAX: 35.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 7 14 21 28 35 10.29 4.50 29.52 28.88 24.19 MIN: 9.51 / MAX: 11.93 MIN: 4.43 / MAX: 5.26 MIN: 25.64 / MAX: 34.13 MIN: 23.66 / MAX: 168.43 MIN: 19.28 / MAX: 34.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 9 18 27 36 45 11.30 4.92 33.16 38.67 28.85 MIN: 9.74 / MAX: 14.96 MIN: 4.84 / MAX: 5.41 MIN: 24.4 / MAX: 44 MIN: 28.02 / MAX: 119.64 MIN: 18.28 / MAX: 40.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mobilenet b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 17.84 12.23 79.82 115.68 67.15 MIN: 17.55 / MAX: 25.78 MIN: 65.63 / MAX: 95.23 MIN: 64.45 / MAX: 159.93 MIN: 21.26 / MAX: 78.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Stitching b 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 60K 120K 180K 240K 300K 201160 228123 287492 232977 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 100 200 300 400 500 437.35 384.96 436.29 448.03 429.56 MIN: 35.59 / MAX: 5454.55 MIN: 13.8 / MAX: 6666.67 MIN: 24.91 / MAX: 3750 MIN: 41.38 / MAX: 2608.7 MIN: 25.01 / MAX: 4615.38
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 100 200 300 400 500 439.07 386.60 433.56 467.46 438.36 MIN: 35.82 / MAX: 6000 MIN: 13.7 / MAX: 6666.67 MIN: 24.58 / MAX: 4285.71 MIN: 40.6 / MAX: 4615.38 MIN: 25.08 / MAX: 4285.71
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 100 200 300 400 500 428.51 351.01 420.94 440.56 420.29 MIN: 34.8 / MAX: 5454.55 MIN: 13.78 / MAX: 6666.67 MIN: 24.79 / MAX: 3750 MIN: 40.98 / MAX: 4000 MIN: 24.7 / 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 11 22 33 44 55 43.90 46.66 44.38 43.77 45.67 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 40 80 120 160 200 172.53 162.33 170.68 173.05 165.87 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 11 22 33 44 55 43.90 46.67 45.72 43.64 44.56 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 40 80 120 160 200 172.57 162.30 165.70 173.56 169.99 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 5 10 15 20 25 21.62 22.83 22.35 22.93 22.10 22.21 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 116.81 110.61 112.96 110.14 114.26 113.67 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 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 3K 6K 9K 12K 15K 8308.33 10352.60 12025.70 11068.80 11891.40 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 2K 4K 6K 8K 10K 5493.35 8783.70 9605.63 7176.41 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 60 120 180 240 300 88.73 252.02 127.50 71.73 127.96
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Core b 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 50K 100K 150K 200K 250K 77061 98738 236445 85621 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 50 100 150 200 250 72.02 212.97 108.06 58.57 108.30
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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 2 4 6 8 10 6.128 5.719 5.774 6.390 5.768 5.877 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 40.24 78.75 74.59 50.70 32.97 76.09 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 6 12 18 24 30 25.60 26.39 24.67 22.71 23.34 24.27 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 400 800 1200 1600 2000 1183.63 1760.49 1370.61 1385.33 1377.39 MIN: 1162.73 MIN: 1746.27 MIN: 1312.47 MIN: 1314.76 MIN: 1316 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 749.62 906.61 1349.92 1305.96 1177.81 MIN: 731.75 MIN: 898.73 MIN: 1150.78 MIN: 1060.61 MIN: 1030.68 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1190.8 1312.9 1292.1 1227.1 1289.9 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 3 6 9 12 15 9.3 10.1 10.1 9.5 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 800 1600 2400 3200 4000 3911.97 2493.98 2948.39 2547.35 MIN: 3337.4 / MAX: 4451.63 MIN: 2275.06 / MAX: 2587.16 MIN: 1547.54 / MAX: 3537.3 MIN: 1516.1 / MAX: 2961.68 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 b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 3 6 9 12 15 8.05 3.17 10.63 6.17 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: DNN - Deep Neural Network b 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 20K 40K 60K 80K 100K 39756 82360 87133 65657 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 800 1600 2400 3200 4000 3927.00 2496.52 2952.76 2595.65 MIN: 3402.58 / MAX: 4474.47 MIN: 1381.65 / MAX: 2622.64 MIN: 2193.59 / MAX: 3652.32 MIN: 2193.47 / MAX: 2987.27 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: Person Detection FP32 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 3 6 9 12 15 8.04 3.16 10.64 6.10 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 600 1200 1800 2400 3000 2608.34 1684.86 2020.21 1782.06 MIN: 2421.38 / MAX: 2754.89 MIN: 1636.65 / MAX: 1721.46 MIN: 1823.96 / MAX: 3111.51 MIN: 1650.91 / MAX: 2051.03 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: Face Detection FP16 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 4 8 12 16 20 12.16 4.74 15.76 8.86 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1276.8 1389.6 1394.3 1312.0 1375.8 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 5 10 15 20 25 17.6 19.2 18.9 18.0 18.6 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 30 60 90 120 150 106.98 114.63 99.82 110.29 107.29 111.07 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 11 22 33 44 55 47.21 44.06 50.59 45.79 47.07 45.47 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1175.01 821.36 912.42 826.77 MIN: 982.69 / MAX: 1202.21 MIN: 798.88 / MAX: 834.55 MIN: 878.63 / MAX: 988.74 MIN: 796.91 / MAX: 888.72 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 b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 8 16 24 32 40 27.03 9.71 34.91 19.31 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1434.2 1541.7 1538.4 1445.1 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 160 320 480 640 800 744.5 727.0 671.6 702.2 680.9 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 50 100 150 200 250 230.27 151.73 180.91 162.50 MIN: 166.99 / MAX: 311.89 MIN: 131.11 / MAX: 163.85 MIN: 124.49 / MAX: 288.01 MIN: 133.61 / MAX: 274.15 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 FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 40 80 120 160 200 138.84 52.66 176.76 98.39 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1445.9 1557.2 1552.0 1498.9 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 70 140 210 280 350 270.8 305.1 295.0 282.8 288.9 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1390.0 1523.9 1518.1 1441.1 1523.6 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 200 400 600 800 1000 988.5 913.5 992.4 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1300.8 1413.0 1414.1 1336.5 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 200 400 600 800 1000 752.6 865.4 813.6 741.5 854.9 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 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1277.3 1281.1 1362.4 1309.5 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 600 1200 1800 2400 3000 2819.0 2661.0 2801.4 2775.9 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 4 8 12 16 20 16.93 13.36 12.66 13.52 MIN: 13.88 / MAX: 33.11 MIN: 8.79 / MAX: 23.44 MIN: 8.38 / MAX: 48.88 MIN: 10.48 / MAX: 44.97 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 b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 500 1000 1500 2000 2500 1888.20 598.40 2524.05 1181.75 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 4 8 12 16 20 16.93 12.26 12.79 12.54 MIN: 10.73 / MAX: 31.24 MIN: 7.79 / MAX: 21.63 MIN: 7.68 / MAX: 43.18 MIN: 9.03 / MAX: 28.23 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 b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 500 1000 1500 2000 2500 1889.05 652.03 2498.74 1274.04 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: Vehicle Detection FP16 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 6 12 18 24 30 26.54 19.99 19.69 20.33 MIN: 14.19 / MAX: 63.19 MIN: 12.45 / MAX: 25.77 MIN: 11.03 / MAX: 75.83 MIN: 14.4 / MAX: 46.38 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 b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1205.11 400.07 1623.83 786.17 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 6 12 18 24 30 26.68 17.58 20.07 17.91 MIN: 15.32 / MAX: 46.54 MIN: 15.76 / MAX: 27.27 MIN: 13.26 / MAX: 75.83 MIN: 9.87 / MAX: 67.23 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 b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 300 600 900 1200 1500 1198.45 454.90 1592.71 892.67 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 0.3645 0.729 1.0935 1.458 1.8225 1.62 0.97 1.33 1.01 MIN: 0.69 / MAX: 13.34 MIN: 0.58 / MAX: 12.03 MIN: 0.64 / MAX: 26.34 MIN: 0.6 / MAX: 20.54 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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 9K 18K 27K 36K 45K 38091.46 16278.25 40352.48 31155.59 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 6 12 18 24 30 23.92 16.58 18.25 16.70 MIN: 15.02 / MAX: 35.74 MIN: 12.62 / MAX: 25.96 MIN: 8.84 / MAX: 40.73 MIN: 9.01 / MAX: 41.25 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 800 1600 2400 3200 4000 2674.29 964.19 3504.15 1914.22 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 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 0.3915 0.783 1.1745 1.566 1.9575 1.74 1.06 1.40 1.09 MIN: 0.84 / MAX: 14.57 MIN: 0.62 / MAX: 11.46 MIN: 0.68 / MAX: 42.1 MIN: 0.64 / MAX: 18.03 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 - Device: CPU b 7373x 5 2p b 2 x AMD EPYC 7373X 16-Core 8K 16K 24K 32K 40K 35737.82 14994.76 38800.34 29028.25 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: HMAC-SHA512 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 30M 60M 90M 120M 150M 135165000 59680000 68530000 94924000 73260000 67213000 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 3 6 9 12 15 11.364 11.224 10.083 12.020 9.906 10.127 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 34.61 95.96 49.44 27.90 49.27
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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 30.12 91.27 49.83 48.74 25.47 48.72 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 27.47 78.60 43.86 44.33 23.27 43.78 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 b 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 20K 40K 60K 80K 100K 31910 32187 88553 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 27.60 78.75 40.47 22.51 40.61
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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 2 4 6 8 10 7.299 2.985 5.193 8.222 5.248 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 4 8 12 16 20 16.37 15.80 14.94 17.25 15.04 14.79 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 4 - Input: Bosphorus 4K b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 1.0895 2.179 3.2685 4.358 5.4475 4.826 3.993 4.676 4.760 4.842 4.644 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 90K 180K 270K 360K 450K 396928 155879 243862 396844 241803 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: bcrypt b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 30K 60K 90K 120K 150K 91276 31573 62551 60152 117542 62360 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 30K 60K 90K 120K 150K 87360 31651 62302 60345 117771 62244 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 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 600 1200 1800 2400 3000 2692.4 2854.1 2907.3 2820.4 2850.8 2894.2 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 12 24 36 48 60 16.82 51.26 23.90 25.09 14.42 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
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 14 28 42 56 70 64.64 20.10 34.86 39.22 64.04 35.24 MIN: 64.13 / MAX: 65.46 MIN: 20.01 / MAX: 21.52 MIN: 34.63 / MAX: 35.47 MIN: 39 / MAX: 39.63 MIN: 63.29 / MAX: 64.92 MIN: 35.01 / MAX: 35.91
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Obj 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 15 30 45 60 75 23.36 38.43 44.19 68.70 38.78 MIN: 22.36 / MAX: 24.19 MIN: 38.17 / MAX: 39.69 MIN: 43.94 / MAX: 44.51 MIN: 67.96 / MAX: 69.64 MIN: 38.54 / MAX: 39.74
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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 7 14 21 28 35 30.11 31.27 24.22 31.80 24.27 24.31 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 8 16 24 32 40 13.53 35.51 18.33 19.63 11.80 18.03 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 3 6 9 12 15 6.92145 6.82625 5.87951 10.36850 5.78798 MIN: 6.32 MIN: 5.9 MIN: 4.97 MIN: 8.54 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 7 14 21 28 35 11.34 18.26 28.59 15.51 30.67 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 9 18 27 36 45 11.753321460 37.795953129 17.820390395 19.355553092 9.594769350 18.406629769 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 3 6 9 12 15 10.23 10.02 10.43 10.83 10.50 10.20 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 6 12 18 24 30 17.21 25.22 13.72 10.76 13.80 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 16 32 48 64 80 63.36 21.39 40.00 40.12 73.26 40.36 MIN: 62.44 / MAX: 66.52 MIN: 21.25 / MAX: 21.62 MIN: 39.56 / MAX: 40.59 MIN: 39.64 / MAX: 40.56 MIN: 72.13 / MAX: 74.82 MIN: 39.78 / MAX: 41.03
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 24.91 42.74 48.51 76.63 42.83 MIN: 24.47 / MAX: 26.52 MIN: 42.44 / MAX: 44.03 MIN: 48.29 / MAX: 48.79 MIN: 75.97 / MAX: 78.17 MIN: 42.56 / MAX: 43.84
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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 11K 22K 33K 44K 55K 36827.5 15435.0 29155.1 51199.1 29155.1 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 9K 18K 27K 36K 45K 32799.5 11662.0 21420.1 41983.3 21866.3 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 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 23.59 44.22 43.98 81.09 44.88 MIN: 23.47 / MAX: 23.76 MIN: 43.54 / MAX: 44.81 MIN: 43.29 / MAX: 44.67 MIN: 80.03 / MAX: 82.56 MIN: 44.32 / MAX: 45.69
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 16 32 48 64 80 73.83 23.57 40.18 45.11 73.78 40.51 MIN: 73.34 / MAX: 74.66 MIN: 23.24 / MAX: 24.98 MIN: 39.87 / MAX: 41.09 MIN: 44.88 / MAX: 45.48 MIN: 72.91 / MAX: 74.82 MIN: 40.25 / MAX: 41.33
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 0.649 1.298 1.947 2.596 3.245 1.26107 1.87446 2.17496 2.88451 2.05818 MIN: 1.06 MIN: 1.72 MIN: 1.61 MIN: 1.79 MIN: 1.58 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 200 400 600 800 1000 806.45 729.93 458.72 434.78 458.72 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 16 32 48 64 80 67.55 49.20 58.70 70.86 69.54 58.36 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 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 0.2804 0.5608 0.8412 1.1216 1.402 1.246180 0.609746 0.948143 0.917226 0.750853 MIN: 1.13 MIN: 0.57 MIN: 0.62 MIN: 0.77 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 4K 8K 12K 16K 20K 19018.3 14792.0 13312.8 15662.1 13312.8 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 4K 8K 12K 16K 20K 20481.2 13312.8 12102.5 12678.9 11576.3 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 8 - Input: Bosphorus 1080p b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 20 40 60 80 100 109.71 92.98 101.82 108.36 104.17 100.59 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 1300 2600 3900 5200 6500 5833 5406 5485 5729 5498 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 0.4352 0.8704 1.3056 1.7408 2.176 0.827622 1.934160 1.043480 0.669349 1.034560 MIN: 0.78 MIN: 1.89 MIN: 0.98 MIN: 0.6 MIN: 0.98 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 50 100 150 200 250 214.93 152.19 162.78 226.73 176.11 163.33 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 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 1000 2000 3000 4000 5000 4885 4563 4614 4818 4642 1. (CXX) g++ options: -O3
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 13 - Input: Bosphorus 4K b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 40 80 120 160 200 198.14 147.35 159.26 196.06 172.57 166.54 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 2 4 6 8 10 4.43804121 6.86468983 4.75395298 2.48386908 3.93247390 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 b 7373x 7373X 2P 5 2p b 2 x AMD EPYC 7373X 16-Core 0.8501 1.7002 2.5503 3.4004 4.2505 3.12487 3.77803 2.73357 1.89859 2.70057 MIN: 2.06 MIN: 3.69 MIN: 2.6 MIN: 1.58 MIN: 2.52 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 130 260 390 520 650 601.98 487.08 522.16 622.73 565.06 525.64 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 b 7373x 7373X 2P 5 b 5 2p b 2 x AMD EPYC 7373X 16-Core 120 240 360 480 600 549.83 506.52 490.99 560.57 546.03 510.79 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.