Benchmarks for a future article.
7700 Processor: AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0805 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 2000GB, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000rc1daily20220820-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.224, Compiler: GCC 12.0.1 20220319, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
7900 Changed Processor to AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads) .
Changed Disk to 2000GB Samsung SSD 980 PRO 2TB .
Ryzen 7600 AMD AMD 7600 Changed Processor to AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads) .
AMD 7700 Ryzen 7 7700 Changed Processor to AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads) .
Changed Disk to 2000GB Samsung SSD 980 PRO 2TB + 2000GB .
Ryzen 7600 Changed Processor to AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads) .
Ryzen 9 7900 Changed Processor to AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads) .
Changed Disk to 2000GB Samsung SSD 980 PRO 2TB .
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 30K 60K 90K 120K 150K SE +/- 90.75, N = 3 122528 121615 86833 85433 85166 68845 68387 68238 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.7 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 13K 26K 39K 52K 65K SE +/- 2.66, N = 3 62268.64 62268.38 47545.73 46993.70 46662.87 35844.44 35828.14 35804.82 1. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 Ryzen 9 7900 7900 Ryzen 7600 AMD Ryzen 7600 AMD 7600 AMD 7700 Ryzen 7 7700 7700 90M 180M 270M 360M 450M SE +/- 42003.58, N = 3 435640000 433603300 392653733 392582200 391945100 391561900 385911600 385755100 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material Ryzen 9 7900 7900 7700 AMD 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 50 100 150 200 250 119.05 119.53 158.29 158.42 158.99 206.46 206.77 207.29
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 40 80 120 160 200 123.05 124.04 144.68 145.29 145.39 188.46 188.62 189.54
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Fast Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 60 120 180 240 300 SE +/- 0.11, N = 3 255.04 254.36 194.49 193.44 192.78 147.45 147.27 145.52 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Medium Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 20 40 60 80 100 SE +/- 0.26, N = 3 89.45 89.29 67.69 67.55 67.52 51.68 51.15 51.11 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Thorough 7900 Ryzen 9 7900 Ryzen 7 7700 7700 AMD 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 3 6 9 12 15 SE +/- 0.0037, N = 3 11.2034 11.2011 8.4455 8.4276 8.4258 6.4785 6.4775 6.4047 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Exhaustive Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 0.2657 0.5314 0.7971 1.0628 1.3285 SE +/- 0.0005, N = 3 1.1811 1.1809 0.8790 0.8777 0.8760 0.6815 0.6725 0.6717 1. (CXX) g++ options: -O3 -flto -pthread
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: CPU-Only 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 30 60 90 120 150 SE +/- 0.20, N = 3 76.35 77.02 103.29 103.96 104.03 134.08 134.80 135.04
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Classroom - Compute: CPU-Only Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 80 160 240 320 400 SE +/- 0.20, N = 3 202.13 202.67 271.59 272.78 273.36 356.47 357.10 357.35
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 40 80 120 160 200 SE +/- 0.26, N = 3 100.47 100.60 134.16 134.78 135.18 173.72 174.02 174.24
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 300 600 900 1200 1500 SE +/- 2.65, N = 3 723.13 723.78 973.45 983.97 989.72 1282.32 1284.02 1284.52
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 90 180 270 360 450 SE +/- 0.21, N = 3 249.95 249.96 333.25 334.85 335.44 432.63 433.06 433.93
Build2 This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 30 60 90 120 150 SE +/- 0.35, N = 3 69.91 70.29 90.49 92.71 93.34 113.89 114.28 115.54
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 14 28 42 56 70 SE +/- 0.02, N = 3 34.03 34.54 48.79 48.95 49.03 64.33 64.33 64.37 1. (CC) gcc options: -lm -lpthread -O3
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 5K 10K 15K 20K 25K SE +/- 40.13, N = 3 21212 21166 15748 15640 15594 12352 12156 12090
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 150K 300K 450K 600K 750K SE +/- 1264.79, N = 3 695719.39 691509.80 509464.00 497649.99 494267.87 385542.17 385213.54 384184.41 1. (CC) gcc options: -O2 -lrt" -lrt
Cpuminer-Opt Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Magi Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 160 320 480 640 800 SE +/- 1.54, N = 3 733.32 726.49 531.73 517.61 516.97 406.47 402.03 400.76 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: x25x 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 200 400 600 800 1000 SE +/- 1.16, N = 3 804.79 804.66 586.79 583.56 583.09 448.72 448.30 446.02 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: scrypt 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 100 200 300 400 500 SE +/- 1.68, N = 3 451.13 449.60 332.81 331.57 325.46 252.86 251.35 250.53 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Deepcoin Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 3K 6K 9K 12K 15K SE +/- 16.47, N = 3 14700.00 14700.00 10440.00 10410.00 10380.00 7961.37 7944.47 7943.92 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Ringcoin 7900 Ryzen 9 7900 Ryzen 7 7700 7700 AMD 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 600 1200 1800 2400 3000 SE +/- 4.41, N = 3 3027.86 3027.67 2268.58 2226.51 2207.98 1709.61 1692.20 1684.91 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S 7900 Ryzen 9 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 300K 600K 900K 1200K 1500K SE +/- 2843.36, N = 3 1189120 1182280 879560 868880 691560 664113 662700 662460 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Garlicoin AMD 7700 7700 7900 Ryzen 7 7700 Ryzen 9 7900 Ryzen 7600 AMD AMD 7600 Ryzen 7600 1000 2000 3000 4000 5000 SE +/- 39.25, N = 3 4711.29 4593.06 4566.15 4553.53 4390.50 3598.29 3579.50 3534.18 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Skeincoin Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 40K 80K 120K 160K 200K SE +/- 695.37, N = 3 183410 181540 137650 134800 134450 103337 103040 103030 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 11K 22K 33K 44K 55K SE +/- 250.27, N = 3 52490 49110 43190 43140 43080 33530 33340 33330 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 20K 40K 60K 80K 100K SE +/- 26.67, N = 3 96310 96150 72360 71750 70730 53840 53810 53693 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 40K 80K 120K 160K 200K SE +/- 21.86, N = 3 208470 207140 153350 149450 147910 115430 115330 114893 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 60K 120K 180K 240K 300K SE +/- 1138.26, N = 13 295660 295130 220960 220550 217830 168810 167343 165660 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 3M 6M 9M 12M 15M SE +/- 122230.58, N = 8 14804887 14646827 14574274 14572555 14513008 14170376 14053268 13949188 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython 7900 Ryzen 9 7900 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 AMD 7700 500 1000 1500 2000 2500 SE +/- 11.02, N = 4 2294 2348 2360 2459 2538 2538 2540 2540
Java Test: Eclipse
7700: The test quit with a non-zero exit status.
7900: The test quit with a non-zero exit status.
Ryzen 7600 AMD: The test quit with a non-zero exit status.
AMD 7600: The test quit with a non-zero exit status.
AMD 7700: The test quit with a non-zero exit status.
Ryzen 7 7700: The test quit with a non-zero exit status.
Ryzen 7600: The test quit with a non-zero exit status.
Ryzen 9 7900: The test quit with a non-zero exit status.
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap Ryzen 9 7900 7900 7700 AMD 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 500 1000 1500 2000 2500 SE +/- 19.27, N = 4 1880 1936 2015 2128 2154 2201 2242 Java Test: Tradesoap
Ryzen 7 7700: The test quit with a non-zero exit status.
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans AMD 7600 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD 7900 Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 19.03, N = 20 1359 1371 1403 1407 1424 1461 1655 1676
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.8.1 Test: Boat - Acceleration: CPU-only 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 1.0316 2.0632 3.0948 4.1264 5.158 SE +/- 0.018, N = 3 3.028 3.056 3.667 3.742 3.785 4.526 4.557 4.585
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.8.1 Test: Masskrug - Acceleration: CPU-only 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 0.9644 1.9288 2.8932 3.8576 4.822 SE +/- 0.013, N = 3 3.071 3.174 3.584 3.652 3.690 4.220 4.232 4.286
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.8.1 Test: Server Rack - Acceleration: CPU-only Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 0.0401 0.0802 0.1203 0.1604 0.2005 SE +/- 0.001, N = 3 0.126 0.135 0.148 0.156 0.158 0.176 0.177 0.178
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.8.1 Test: Server Room - Acceleration: CPU-only Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 0.7389 1.4778 2.2167 2.9556 3.6945 SE +/- 0.036, N = 3 2.539 2.576 2.831 2.894 2.902 3.243 3.250 3.284
FLAC Audio Encoding This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.4 WAV To FLAC Ryzen 9 7900 7900 Ryzen 7 7700 AMD 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 3 6 9 12 15 SE +/- 0.00, N = 5 11.57 11.65 11.67 11.67 11.69 12.10 12.10 12.10 1. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.30 Test: resize AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 7900 Ryzen 9 7900 3 6 9 12 15 SE +/- 0.062, N = 3 9.866 10.033 10.183 10.306 10.417 10.421 13.306 13.602
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.30 Test: rotate AMD 7700 7900 Ryzen 7 7700 7700 Ryzen 9 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 3 6 9 12 15 SE +/- 0.015, N = 3 8.971 9.182 9.182 9.297 9.406 9.446 9.505 9.509
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.30 Test: auto-levels AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 7900 Ryzen 9 7900 3 6 9 12 15 SE +/- 0.012, N = 3 9.247 9.488 9.522 9.779 9.801 9.809 10.150 10.279
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.30 Test: unsharp-mask AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 7900 Ryzen 9 7900 3 6 9 12 15 SE +/- 0.02, N = 3 10.31 10.54 10.67 10.74 10.80 10.80 12.38 12.63
Git This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands Ryzen 9 7900 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 8 16 24 32 40 SE +/- 0.04, N = 3 31.43 31.72 32.05 32.08 32.37 33.07 33.13 33.19 1. git version 2.34.1
GNU Radio GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: Five Back to Back FIR Filters AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 7900 Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 16.32, N = 8 2128.8 2115.2 2004.4 1934.1 1923.9 1862.7 1430.4 1322.9 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: Signal Source (Cosine) 7700 Ryzen 7 7700 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 1300 2600 3900 5200 6500 SE +/- 6.70, N = 8 6105.9 6088.9 6084.9 5870.7 5865.6 5846.2 5162.0 5014.0 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: FIR Filter Ryzen 7 7700 AMD 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 300 600 900 1200 1500 SE +/- 3.50, N = 8 1508.7 1498.3 1485.9 1448.5 1436.8 1436.2 1402.1 1374.7 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: IIR Filter Ryzen 7 7700 AMD 7700 Ryzen 9 7900 7700 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 120 240 360 480 600 SE +/- 3.03, N = 8 575.8 570.8 561.2 561.1 560.7 544.3 541.8 541.5 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: FM Deemphasis Filter 7700 Ryzen 7 7700 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 200 400 600 800 1000 SE +/- 2.20, N = 8 958.4 943.1 941.1 919.1 913.7 911.7 907.5 905.0 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: Hilbert Transform AMD 7700 Ryzen 7 7700 7700 7900 Ryzen 7600 AMD AMD 7600 Ryzen 9 7900 Ryzen 7600 200 400 600 800 1000 SE +/- 5.10, N = 8 775.5 760.3 759.8 741.4 738.4 725.5 716.6 709.6 1. 3.10.1.1
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 22.1 Input: Carbon Nanotube Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 50 100 150 200 250 SE +/- 0.83, N = 3 168.93 169.05 207.91 209.08 209.84 235.98 237.47 239.33 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
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 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 0.4545 0.909 1.3635 1.818 2.2725 SE +/- 0.006, N = 3 2.020 2.018 1.480 1.468 1.465 1.237 1.234 1.231 1. (CXX) g++ options: -O3
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 2 4 6 8 10 SE +/- 0.013, N = 3 8.098 8.059 5.884 5.840 5.786 4.582 4.555 4.517
JPEG XL Decoding libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.7 CPU Threads: 1 7900 AMD 7700 Ryzen 9 7900 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 16 32 48 64 80 SE +/- 0.09, N = 3 72.61 71.90 71.36 71.36 70.44 69.94 69.36 67.93
OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.7 CPU Threads: All AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 7900 Ryzen 9 7900 80 160 240 320 400 SE +/- 0.21, N = 3 365.43 361.28 344.88 336.39 334.93 318.81 204.91 201.39
JPEG XL libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 80 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 3 6 9 12 15 SE +/- 0.01, N = 3 12.53 12.27 12.11 12.09 11.96 11.44 11.41 11.28 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 90 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 3 6 9 12 15 SE +/- 0.00, N = 3 12.32 12.09 11.92 11.90 11.76 11.22 11.21 11.07 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 3 6 9 12 15 SE +/- 0.02, N = 3 12.20 11.98 11.82 11.80 11.61 11.13 11.12 10.97 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 3 6 9 12 15 SE +/- 0.01, N = 3 12.00 11.78 11.61 11.57 11.43 10.94 10.93 10.76 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 100 AMD 7700 7900 7700 Ryzen 9 7900 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 0.225 0.45 0.675 0.9 1.125 SE +/- 0.01, N = 3 1.00 1.00 0.98 0.97 0.97 0.96 0.96 0.95 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 Ryzen 7600 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 9 7900 Ryzen 7600 AMD AMD 7600 0.2115 0.423 0.6345 0.846 1.0575 SE +/- 0.02, N = 6 0.94 0.92 0.91 0.88 0.87 0.86 0.85 0.83 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Medium 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 4 8 12 16 20 SE +/- 0.00, N = 3 13.97 13.89 11.36 11.33 11.32 9.12 9.10 9.09 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 1080p - Video Preset: Medium 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 14 28 42 56 70 SE +/- 0.06, N = 3 63.17 63.16 58.86 58.76 58.56 44.68 44.68 44.65 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Very Fast 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 7 14 21 28 35 SE +/- 0.05, N = 3 31.48 31.45 26.42 26.20 26.18 21.15 21.14 21.10 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 12 24 36 48 60 SE +/- 0.11, N = 3 54.71 54.60 47.01 46.89 46.84 38.17 38.04 37.96 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 30 60 90 120 150 SE +/- 0.03, N = 3 118.78 118.71 111.63 111.56 111.46 91.30 91.22 91.18 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 50 100 150 200 250 SE +/- 0.22, N = 3 216.49 215.98 202.80 201.88 201.63 160.45 160.28 160.21 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 AMD 7700 7900 Ryzen 7 7700 7700 Ryzen 9 7900 Ryzen 7600 AMD AMD 7600 Ryzen 7600 1.1219 2.2438 3.3657 4.4876 5.6095 SE +/- 0.003, N = 3 4.792 4.795 4.803 4.806 4.809 4.978 4.978 4.986 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS Ryzen 9 7900 7900 7700 AMD 7600 Ryzen 7 7700 Ryzen 7600 AMD 7700 Ryzen 7600 AMD 300 600 900 1200 1500 SE +/- 21.50, N = 3 1623 1601 1588 1554 1535 1520 1519 1514 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen Ryzen 9 7900 7900 Ryzen 7 7700 7700 AMD 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 400 800 1200 1600 2000 SE +/- 14.96, N = 9 1650 1607 1548 1542 1540 1499 1495 1475 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 2 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 15 30 45 60 75 SE +/- 0.03, N = 3 47.10 47.23 55.99 56.44 56.57 67.69 67.81 67.82 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 2 4 6 8 10 SE +/- 0.014, N = 3 4.240 4.299 5.288 5.323 5.384 6.653 6.659 6.700 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6, Lossless Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 3 6 9 12 15 SE +/- 0.014, N = 3 6.765 6.826 8.050 8.171 8.174 9.860 9.902 9.957 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 10, Lossless 7900 Ryzen 9 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 0.9792 1.9584 2.9376 3.9168 4.896 SE +/- 0.019, N = 3 3.501 3.621 3.872 3.880 3.897 4.325 4.341 4.352 1. (CXX) g++ options: -O3 -fPIC -lm
Liquid-DSP LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 Ryzen 9 7900 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 20M 40M 60M 80M 100M SE +/- 98206.13, N = 3 106460000 105440000 104350000 104300000 104260000 100353333 100010000 99900000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 7700 7900 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD Ryzen 9 7900 40M 80M 120M 160M 200M SE +/- 1746140.93, N = 7 208010000 207520000 207040000 205760000 199960000 197510000 196872857 192310000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 7900 AMD 7700 Ryzen 9 7900 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 90M 180M 270M 360M 450M SE +/- 265476.51, N = 3 411000000 407210000 402680000 401540000 401240000 400603333 398100000 388980000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 Ryzen 7 7700 AMD 7700 7700 Ryzen 9 7900 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 160M 320M 480M 640M 800M SE +/- 6183407.06, N = 4 759550000 759310000 756340000 753250000 739430000 585770000 583500000 573297500 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 Ryzen 9 7900 7900 Ryzen 7 7700 AMD 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 200M 400M 600M 800M 1000M SE +/- 86474.15, N = 3 1034000000 1033600000 786180000 778000000 774160000 597473333 597410000 596850000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 24 - Buffer Length: 256 - Filter Length: 57 Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 200M 400M 600M 800M 1000M SE +/- 2020662.71, N = 3 1033000000 1032600000 776550000 775660000 772840000 598510000 596263333 594580000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: nasnet AMD 7600 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 3 6 9 12 15 SE +/- 0.110, N = 15 5.322 5.522 5.883 5.943 6.237 6.505 10.396 10.564 MIN: 5.29 / MAX: 6.27 MIN: 5.45 / MAX: 17.02 MIN: 5.44 / MAX: 8.54 MIN: 5.47 / MAX: 9.31 MIN: 5.32 / MAX: 16.05 MIN: 6.43 / MAX: 8.41 MIN: 10.29 / MAX: 18.12 MIN: 10.43 / MAX: 11.26 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenetV3 AMD 7700 Ryzen 7 7700 AMD 7600 7700 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 0.3386 0.6772 1.0158 1.3544 1.693 SE +/- 0.005, N = 15 0.725 0.736 0.737 0.741 0.783 0.801 1.493 1.505 MIN: 0.72 / MAX: 1.2 MIN: 0.7 / MAX: 1.39 MIN: 0.73 / MAX: 1.1 MIN: 0.71 / MAX: 2.7 MIN: 0.73 / MAX: 2.85 MIN: 0.79 / MAX: 3.51 MIN: 1.47 / MAX: 1.96 MIN: 1.48 / MAX: 9.16 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: squeezenetv1.1 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 0.5675 1.135 1.7025 2.27 2.8375 SE +/- 0.008, N = 15 1.244 1.272 1.301 1.375 1.448 1.466 2.452 2.522 MIN: 1.23 / MAX: 3.26 MIN: 1.2 / MAX: 3.38 MIN: 1.24 / MAX: 3.27 MIN: 1.36 / MAX: 1.66 MIN: 1.37 / MAX: 8.4 MIN: 1.45 / MAX: 3.38 MIN: 2.42 / MAX: 4.54 MIN: 2.47 / MAX: 2.98 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: resnet-v2-50 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 4 8 12 16 20 SE +/- 0.045, N = 15 7.334 7.871 7.877 11.558 11.988 12.085 13.620 13.653 MIN: 7.13 / MAX: 19.12 MIN: 7.16 / MAX: 10.56 MIN: 7.19 / MAX: 10.65 MIN: 11.48 / MAX: 19.17 MIN: 11.25 / MAX: 19.5 MIN: 11.68 / MAX: 24.46 MIN: 13.5 / MAX: 15.47 MIN: 13.54 / MAX: 15.73 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: SqueezeNetV1.0 AMD 7700 AMD 7600 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 7900 Ryzen 9 7900 0.8692 1.7384 2.6076 3.4768 4.346 SE +/- 0.017, N = 15 2.420 2.434 2.557 2.559 2.583 2.618 3.771 3.863 MIN: 2.38 / MAX: 13.73 MIN: 2.4 / MAX: 9.97 MIN: 2.4 / MAX: 5.3 MIN: 2.41 / MAX: 4.85 MIN: 2.41 / MAX: 9.64 MIN: 2.59 / MAX: 4.5 MIN: 3.69 / MAX: 4.19 MIN: 3.79 / MAX: 5.06 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: MobileNetV2_224 AMD 7600 AMD 7700 Ryzen 7600 AMD Ryzen 7600 7700 Ryzen 7 7700 Ryzen 9 7900 7900 0.7088 1.4176 2.1264 2.8352 3.544 SE +/- 0.011, N = 15 1.638 1.735 1.745 1.770 1.812 1.827 3.113 3.150 MIN: 1.62 / MAX: 2.05 MIN: 1.71 / MAX: 3.74 MIN: 1.63 / MAX: 8.75 MIN: 1.74 / MAX: 3.67 MIN: 1.71 / MAX: 3.68 MIN: 1.72 / MAX: 3.71 MIN: 3.04 / MAX: 3.57 MIN: 3.1 / MAX: 3.75 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 9 7900 7900 0.8327 1.6654 2.4981 3.3308 4.1635 SE +/- 0.002, N = 15 1.482 1.518 1.558 2.848 2.854 2.864 3.560 3.701 MIN: 1.47 / MAX: 3.45 MIN: 1.44 / MAX: 4.13 MIN: 1.47 / MAX: 4.02 MIN: 2.83 / MAX: 3.19 MIN: 2.82 / MAX: 9.6 MIN: 2.83 / MAX: 14.09 MIN: 3.49 / MAX: 4.01 MIN: 3.63 / MAX: 3.81 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: inception-v3 AMD 7600 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 7900 Ryzen 9 7900 5 10 15 20 25 SE +/- 0.24, N = 15 14.12 14.60 15.37 15.51 16.39 16.87 20.92 22.47 MIN: 14.05 / MAX: 15.71 MIN: 14.2 / MAX: 25.71 MIN: 14.16 / MAX: 25.66 MIN: 14.26 / MAX: 35.72 MIN: 13.9 / MAX: 24.09 MIN: 16.72 / MAX: 18.95 MIN: 20.57 / MAX: 28.87 MIN: 22.2 / MAX: 30.15 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 0.4641 0.9282 1.3923 1.8564 2.3205 SE +/- 0.00775, N = 3 1.19006 1.19044 1.60057 1.60383 1.60552 2.04244 2.06226 2.06285
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 9K 18K 27K 36K 45K SE +/- 42.32, N = 3 43264.20 42376.80 26811.90 26715.20 26612.66 26610.53 26385.90 26241.32 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C 7900 Ryzen 9 7900 Ryzen 7 7700 7700 AMD 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 3K 6K 9K 12K 15K SE +/- 33.87, N = 3 11923.73 11860.08 9553.45 9535.43 9511.86 8923.12 8741.36 8739.83 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 500 1000 1500 2000 2500 SE +/- 13.02, N = 5 2155.92 2150.58 1588.73 1561.40 1514.07 1192.54 1173.77 1143.01 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D 7900 Ryzen 9 7900 Ryzen 7 7700 7700 AMD 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 500 1000 1500 2000 2500 SE +/- 9.35, N = 9 2158.45 2117.95 1562.22 1551.49 1507.33 1199.83 1197.05 1172.13 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C 7900 Ryzen 9 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 5K 10K 15K 20K 25K SE +/- 13.02, N = 3 24918.34 24557.85 24004.74 23930.17 23901.69 18217.43 18201.55 18180.58 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D 7900 Ryzen 9 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 300 600 900 1200 1500 SE +/- 6.92, N = 3 1498.34 1464.48 1452.37 1428.57 1401.10 1322.96 1304.94 1299.85 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 10K 20K 30K 40K 50K SE +/- 16.61, N = 3 44554.53 44535.60 44080.08 43910.53 43900.91 31801.69 31784.52 31737.61 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 5K 10K 15K 20K 25K SE +/- 5.90, N = 3 25644.03 25610.96 24079.99 23860.31 23843.51 21442.67 21396.59 21352.01 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B Ryzen 9 7900 7900 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 7 7700 7700 4K 8K 12K 16K 20K SE +/- 6.22, N = 3 20602.99 20541.04 12368.45 12334.26 12327.50 12314.21 12239.64 12225.69 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C 7900 Ryzen 9 7900 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 7700 Ryzen 7 7700 3K 6K 9K 12K 15K SE +/- 8.95, N = 3 12794.75 12761.88 11060.80 11044.46 11043.48 11031.34 10989.41 10954.11 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
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: mobilenet AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7 7700 Ryzen 7600 7700 Ryzen 9 7900 7900 2 4 6 8 10 SE +/- 0.00, N = 3 6.54 6.89 6.90 7.12 7.13 7.39 8.40 8.67 MIN: 6.46 / MAX: 8.01 MIN: 6.85 / MAX: 7.4 MIN: 6.86 / MAX: 7.51 MIN: 6.65 / MAX: 8.21 MIN: 7.05 / MAX: 8.48 MIN: 6.93 / MAX: 8.47 MIN: 8.31 / MAX: 8.86 MIN: 8.58 / MAX: 9.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 AMD 7700 Ryzen 7600 AMD AMD 7600 7700 Ryzen 7 7700 Ryzen 7600 7900 Ryzen 9 7900 0.7673 1.5346 2.3019 3.0692 3.8365 SE +/- 0.00, N = 3 1.87 1.91 1.92 1.98 1.98 2.05 3.39 3.41 MIN: 1.83 / MAX: 2.22 MIN: 1.88 / MAX: 2.37 MIN: 1.89 / MAX: 2.4 MIN: 1.83 / MAX: 3.36 MIN: 1.84 / MAX: 3.02 MIN: 2 / MAX: 2.62 MIN: 3.36 / MAX: 3.7 MIN: 3.38 / MAX: 3.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7900 Ryzen 9 7900 0.6705 1.341 2.0115 2.682 3.3525 SE +/- 0.00, N = 3 1.42 1.50 1.50 1.53 1.53 1.58 2.97 2.98 MIN: 1.4 / MAX: 1.85 MIN: 1.39 / MAX: 2.4 MIN: 1.39 / MAX: 2.44 MIN: 1.5 / MAX: 2.03 MIN: 1.51 / MAX: 1.94 MIN: 1.53 / MAX: 3.86 MIN: 2.94 / MAX: 3.32 MIN: 2.94 / MAX: 3.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7900 Ryzen 9 7900 0.783 1.566 2.349 3.132 3.915 SE +/- 0.00, N = 3 1.45 1.49 1.53 1.58 1.58 1.60 3.48 3.48 MIN: 1.43 / MAX: 1.65 MIN: 1.44 / MAX: 2.07 MIN: 1.47 / MAX: 3.01 MIN: 1.56 / MAX: 2.18 MIN: 1.57 / MAX: 1.93 MIN: 1.58 / MAX: 1.99 MIN: 3.44 / MAX: 3.9 MIN: 3.45 / MAX: 3.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7700 7900 Ryzen 9 7900 0.6885 1.377 2.0655 2.754 3.4425 SE +/- 0.00, N = 3 1.50 1.58 1.61 1.61 1.67 1.71 3.06 3.06 MIN: 1.48 / MAX: 1.65 MIN: 1.48 / MAX: 2.46 MIN: 1.59 / MAX: 2 MIN: 1.59 / MAX: 2.01 MIN: 1.64 / MAX: 2.16 MIN: 1.61 / MAX: 2.55 MIN: 3.03 / MAX: 3.46 MIN: 3.03 / MAX: 3.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 AMD 7700 Ryzen 7600 AMD Ryzen 7 7700 AMD 7600 Ryzen 7600 7700 Ryzen 9 7900 7900 0.9428 1.8856 2.8284 3.7712 4.714 SE +/- 0.00, N = 3 2.50 2.69 2.70 2.72 2.86 2.91 4.18 4.19 MIN: 2.46 / MAX: 3.01 MIN: 2.66 / MAX: 3.21 MIN: 2.48 / MAX: 5.14 MIN: 2.68 / MAX: 3.26 MIN: 2.81 / MAX: 4.44 MIN: 2.68 / MAX: 4.44 MIN: 4.15 / MAX: 4.53 MIN: 4.14 / MAX: 4.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface Ryzen 7600 AMD AMD 7600 Ryzen 7600 AMD 7700 Ryzen 7 7700 7700 7900 Ryzen 9 7900 0.315 0.63 0.945 1.26 1.575 SE +/- 0.00, N = 3 0.53 0.53 0.53 0.54 0.57 0.59 1.39 1.40 MIN: 0.52 / MAX: 0.93 MIN: 0.52 / MAX: 0.87 MIN: 0.52 / MAX: 0.66 MAX: 0.72 MIN: 0.54 / MAX: 1.6 MIN: 0.56 / MAX: 1.26 MIN: 1.37 / MAX: 1.49 MIN: 1.36 / MAX: 3.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet AMD 7700 Ryzen 7600 AMD Ryzen 7 7700 AMD 7600 Ryzen 7600 7700 7900 Ryzen 9 7900 2 4 6 8 10 SE +/- 0.04, N = 3 5.30 5.64 5.69 5.73 5.95 6.70 8.01 8.07 MIN: 5.22 / MAX: 6.91 MIN: 5.54 / MAX: 6.73 MIN: 5.28 / MAX: 6.93 MIN: 5.68 / MAX: 6.22 MIN: 5.85 / MAX: 7.49 MIN: 6.24 / MAX: 7.84 MIN: 7.91 / MAX: 8.62 MIN: 7.97 / MAX: 9.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7700 6 12 18 24 30 SE +/- 0.03, N = 3 24.20 24.24 24.35 25.43 25.85 25.88 25.91 26.91 MIN: 23.94 / MAX: 25.17 MIN: 23.97 / MAX: 25.1 MIN: 24.09 / MAX: 34.85 MIN: 24.43 / MAX: 27.56 MIN: 25.64 / MAX: 31.08 MIN: 25.66 / MAX: 26.69 MIN: 25.66 / MAX: 27.54 MIN: 25.94 / MAX: 29.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 AMD 7600 Ryzen 7600 AMD Ryzen 7600 AMD 7700 Ryzen 7 7700 7700 Ryzen 9 7900 7900 2 4 6 8 10 SE +/- 0.09, N = 3 5.56 5.65 5.68 5.78 6.03 6.96 7.13 7.16 MIN: 5.51 / MAX: 6.33 MIN: 5.5 / MAX: 6.42 MIN: 5.51 / MAX: 7.09 MIN: 5.57 / MAX: 12.93 MIN: 5.61 / MAX: 7.05 MIN: 6.51 / MAX: 8.09 MIN: 6.99 / MAX: 7.93 MIN: 7 / MAX: 7.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet Ryzen 7600 AMD AMD 7600 AMD 7700 Ryzen 7600 7900 Ryzen 9 7900 Ryzen 7 7700 7700 1.0508 2.1016 3.1524 4.2032 5.254 SE +/- 0.00, N = 3 4.24 4.24 4.25 4.43 4.62 4.62 4.66 4.67 MIN: 4.21 / MAX: 4.84 MIN: 4.22 / MAX: 4.83 MIN: 4.19 / MAX: 5.65 MIN: 4.39 / MAX: 5 MIN: 4.55 / MAX: 5.18 MIN: 4.55 / MAX: 5.51 MIN: 4.36 / MAX: 5.78 MIN: 4.37 / MAX: 5.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7700 Ryzen 9 7900 7900 3 6 9 12 15 SE +/- 0.04, N = 3 9.91 10.34 11.06 11.11 11.11 11.52 12.09 12.20 MIN: 9.79 / MAX: 11.38 MIN: 9.67 / MAX: 12.24 MIN: 10.94 / MAX: 11.76 MIN: 11.03 / MAX: 11.66 MIN: 10.95 / MAX: 12.56 MIN: 10.79 / MAX: 13.36 MIN: 11.98 / MAX: 13.18 MIN: 12.02 / MAX: 13.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny AMD 7700 Ryzen 7600 AMD Ryzen 7 7700 AMD 7600 Ryzen 7600 7700 Ryzen 9 7900 7900 4 8 12 16 20 SE +/- 0.12, N = 3 11.40 12.03 12.06 12.19 12.34 13.12 13.70 14.09 MIN: 11.18 / MAX: 13.15 MIN: 11.74 / MAX: 13.04 MIN: 11.25 / MAX: 14.07 MIN: 11.76 / MAX: 12.93 MIN: 11.85 / MAX: 14.12 MIN: 12.22 / MAX: 14.69 MIN: 13.55 / MAX: 14.36 MIN: 13.9 / MAX: 14.24 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 Ryzen 7 7700 7700 Ryzen 9 7900 7900 3 6 9 12 15 SE +/- 0.01, N = 3 9.09 9.12 9.17 9.20 10.02 10.33 11.73 11.74 MIN: 8.76 / MAX: 10.49 MIN: 8.99 / MAX: 9.91 MIN: 9.02 / MAX: 9.75 MIN: 8.98 / MAX: 10.63 MIN: 9.18 / MAX: 19.45 MIN: 9.5 / MAX: 11.46 MIN: 11.48 / MAX: 12.69 MIN: 11.43 / MAX: 21.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 Ryzen 7 7700 7700 7900 Ryzen 9 7900 3 6 9 12 15 SE +/- 0.01, N = 3 4.61 4.73 4.78 4.81 4.83 4.91 10.34 10.51 MIN: 4.51 / MAX: 14.57 MIN: 4.68 / MAX: 5.18 MIN: 4.74 / MAX: 5.24 MIN: 4.74 / MAX: 6.32 MIN: 4.51 / MAX: 7.13 MIN: 4.56 / MAX: 6.15 MIN: 10.27 / MAX: 10.81 MIN: 10.31 / MAX: 17.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 20 40 60 80 100 SE +/- 0.04, N = 3 90.21 93.50 99.54 100.13 100.43 110.10 110.17 110.67 MIN: 89.92 / MAX: 96.8 MIN: 93.19 / MAX: 97.76 MIN: 98.35 / MAX: 108.29 MIN: 98.97 / MAX: 104.21 MIN: 98.86 / MAX: 105.15 MIN: 109.45 / MAX: 116.06 MIN: 109.46 / MAX: 111.5 MIN: 109.86 / MAX: 120.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet Ryzen 7600 AMD AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 7700 7900 Ryzen 9 7900 0.9383 1.8766 2.8149 3.7532 4.6915 SE +/- 0.01, N = 3 1.71 1.71 1.72 1.76 1.85 1.90 4.16 4.17 MIN: 1.69 / MAX: 3.07 MIN: 1.7 / MAX: 1.75 MIN: 1.7 / MAX: 2.15 MIN: 1.7 / MAX: 3.08 MIN: 1.84 / MAX: 2.07 MIN: 1.83 / MAX: 2.67 MIN: 4.11 / MAX: 4.2 MIN: 4.14 / MAX: 4.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
nekRS nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FLOP/s, More Is Better nekRS 22.0 Input: TurboPipe Periodic Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 14000M 28000M 42000M 56000M 70000M SE +/- 29429369.31, N = 3 65974500000 64877800000 56008400000 55548200000 55524300000 49808633333 49735600000 49717500000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi
Neural Magic DeepSparse OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 2 4 6 8 10 SE +/- 0.0028, N = 3 8.5267 8.5176 6.1644 6.1455 6.1182 4.7633 4.7580 4.7536
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream AMD 7600 Ryzen 7600 Ryzen 7600 AMD AMD 7700 7700 Ryzen 7 7700 Ryzen 9 7900 7900 150 300 450 600 750 SE +/- 0.22, N = 3 629.80 630.50 630.93 647.74 650.21 650.70 703.55 703.74
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 2 4 6 8 10 SE +/- 0.0033, N = 3 7.9284 7.9037 6.1330 6.1178 6.0952 4.7145 4.7141 4.7116
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 50 100 150 200 250 SE +/- 0.15, N = 3 126.12 126.52 163.05 163.45 164.06 212.11 212.12 212.24
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 20 40 60 80 100 SE +/- 0.10, N = 3 80.95 80.89 58.04 57.45 57.39 48.09 47.93 47.78
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream Ryzen 7600 AMD Ryzen 7600 AMD 7600 AMD 7700 7700 Ryzen 7 7700 7900 Ryzen 9 7900 16 32 48 64 80 SE +/- 0.12, N = 3 62.38 62.57 62.77 68.91 69.61 69.68 74.10 74.15
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream AMD 7700 Ryzen 7 7700 7700 Ryzen 9 7900 7900 Ryzen 7600 Ryzen 7600 AMD AMD 7600 13 26 39 52 65 SE +/- 0.07, N = 3 59.30 58.91 58.84 54.78 54.58 45.91 45.74 45.74
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream AMD 7700 Ryzen 7 7700 7700 Ryzen 9 7900 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 5 10 15 20 25 SE +/- 0.03, N = 3 16.86 16.97 16.99 18.25 18.32 21.78 21.86 21.86
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 20 40 60 80 100 SE +/- 0.26, N = 3 85.19 85.16 62.95 62.75 62.30 49.72 49.65 49.63
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Ryzen 7600 AMD AMD 7600 Ryzen 7600 AMD 7700 Ryzen 7 7700 7700 7900 Ryzen 9 7900 16 32 48 64 80 SE +/- 0.31, N = 3 60.29 60.33 60.41 63.50 63.67 64.17 70.32 70.33
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 15 30 45 60 75 SE +/- 0.06, N = 3 65.31 65.06 54.71 54.59 54.26 42.86 42.82 42.79
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 6 12 18 24 30 SE +/- 0.03, N = 3 15.30 15.36 18.27 18.31 18.42 23.33 23.35 23.36
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 40 80 120 160 200 SE +/- 0.10, N = 3 202.12 200.92 146.77 146.43 146.03 113.83 113.78 113.45
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Ryzen 7600 AMD 7600 Ryzen 7600 AMD AMD 7700 7700 Ryzen 7 7700 7900 Ryzen 9 7900 7 14 21 28 35 SE +/- 0.02, N = 3 26.34 26.35 26.43 27.24 27.31 27.38 29.67 29.84
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 30 60 90 120 150 SE +/- 0.12, N = 3 132.18 131.38 125.30 124.49 124.44 85.48 85.31 85.23
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 3 6 9 12 15 SE +/- 0.0166, N = 3 7.5604 7.6063 7.9751 8.0274 8.0301 11.6917 11.7158 11.7273
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 30 60 90 120 150 SE +/- 0.05, N = 3 127.26 126.36 92.45 92.18 92.01 71.82 71.40 71.08
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Ryzen 7600 Ryzen 7600 AMD AMD 7600 AMD 7700 7700 Ryzen 7 7700 Ryzen 9 7900 7900 11 22 33 44 55 SE +/- 0.03, N = 3 41.76 42.00 42.20 43.26 43.38 43.46 47.12 47.47
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 20 40 60 80 100 SE +/- 0.08, N = 3 93.30 92.13 80.70 80.44 80.09 63.95 63.90 63.76
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 4 8 12 16 20 SE +/- 0.02, N = 3 10.71 10.85 12.39 12.43 12.48 15.63 15.64 15.68
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 14 28 42 56 70 SE +/- 0.07, N = 3 62.12 61.85 46.02 46.01 45.62 35.70 35.61 35.60
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream Ryzen 7600 AMD 7600 Ryzen 7600 AMD 7700 AMD 7700 Ryzen 7 7700 7900 Ryzen 9 7900 20 40 60 80 100 SE +/- 0.16, N = 3 84.01 84.22 84.26 86.90 86.92 87.67 96.55 96.89
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 11 22 33 44 55 SE +/- 0.08, N = 3 47.29 47.00 40.63 40.38 40.05 31.99 31.94 31.81
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7 14 21 28 35 SE +/- 0.08, N = 3 21.14 21.27 24.61 24.76 24.96 31.26 31.30 31.43
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 2 4 6 8 10 SE +/- 0.0023, N = 3 8.5039 8.5038 6.1603 6.1425 6.1347 4.7576 4.7550 4.7544
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream AMD 7600 Ryzen 7600 Ryzen 7600 AMD AMD 7700 7700 Ryzen 7 7700 Ryzen 9 7900 7900 150 300 450 600 750 SE +/- 0.30, N = 3 630.55 630.90 630.99 649.26 651.14 651.97 704.98 705.41
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 2 4 6 8 10 SE +/- 0.0024, N = 3 7.9169 7.9151 6.1507 6.0866 6.0832 4.7213 4.7175 4.7167
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 50 100 150 200 250 SE +/- 0.11, N = 3 126.31 126.34 162.58 164.29 164.38 211.80 211.97 212.01
Ngspice Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C2670 7900 Ryzen 9 7900 AMD 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD Ryzen 7 7700 20 40 60 80 100 SE +/- 0.07, N = 3 74.25 75.53 77.61 79.40 79.55 79.79 79.98 80.19 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 16 32 48 64 80 SE +/- 0.33, N = 3 65.95 66.59 67.78 70.91 71.93 71.97 72.87 73.08 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 0.9084 1.8168 2.7252 3.6336 4.542 SE +/- 0.01473, N = 3 2.50650 2.51776 3.10451 3.24532 3.25358 4.02215 4.02941 4.03751 MIN: 2.24 MIN: 2.21 MIN: 2.9 MIN: 2.84 MIN: 2.88 MIN: 3.76 MIN: 3.74 MIN: 3.76 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 1.0423 2.0846 3.1269 4.1692 5.2115 SE +/- 0.00604, N = 3 3.17749 3.17985 4.17400 4.31902 4.32645 4.47534 4.48129 4.63234 MIN: 3.13 MIN: 3.13 MIN: 4.14 MIN: 4.14 MIN: 4.15 MIN: 4.38 MIN: 4.4 MIN: 4.54 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU AMD 7700 7900 Ryzen 9 7900 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 0.1692 0.3384 0.5076 0.6768 0.846 SE +/- 0.000677, N = 3 0.588639 0.590633 0.595211 0.599888 0.600244 0.750002 0.751907 0.751935 MIN: 0.56 MIN: 0.54 MIN: 0.54 MIN: 0.56 MIN: 0.55 MIN: 0.72 MIN: 0.73 MIN: 0.73 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 0.2302 0.4604 0.6906 0.9208 1.151 SE +/- 0.008119, N = 3 0.359992 0.388582 0.916936 0.951769 0.962285 1.010390 1.015800 1.023050 MIN: 0.33 MIN: 0.36 MIN: 0.86 MIN: 0.84 MIN: 0.85 MIN: 0.95 MIN: 0.95 MIN: 0.95 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 0.3563 0.7126 1.0689 1.4252 1.7815 SE +/- 0.00075, N = 3 1.14326 1.14443 1.23496 1.27209 1.27245 1.57492 1.58054 1.58360 MIN: 1.05 MIN: 1.01 MIN: 1.13 MIN: 1.16 MIN: 1.16 MIN: 1.5 MIN: 1.49 MIN: 1.52 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 0.5995 1.199 1.7985 2.398 2.9975 SE +/- 0.02309, N = 3 1.54207 1.54403 2.33499 2.45222 2.50229 2.57305 2.57769 2.66452 MIN: 1.47 MIN: 1.48 MIN: 2.28 MIN: 2.28 MIN: 2.29 MIN: 2.51 MIN: 2.49 MIN: 2.47 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 7 7700 7700 2 4 6 8 10 SE +/- 0.00408, N = 3 5.70365 5.72641 7.30768 7.37699 7.38014 7.39868 7.63993 7.64763 MIN: 5.58 MIN: 5.61 MIN: 7.2 MIN: 7.29 MIN: 7.29 MIN: 7.3 MIN: 7.21 MIN: 7.23 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 1.2279 2.4558 3.6837 4.9116 6.1395 SE +/- 0.00921, N = 3 3.49424 3.49499 4.28496 4.37736 4.39946 5.41634 5.43706 5.45728 MIN: 3.05 MIN: 3.06 MIN: 3.88 MIN: 3.85 MIN: 3.84 MIN: 5.23 MIN: 5.22 MIN: 5.22 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 9 7900 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 1.2031 2.4062 3.6093 4.8124 6.0155 SE +/- 0.00039, N = 3 3.42107 3.89095 3.90923 3.91816 3.97048 5.33578 5.34062 5.34707 MIN: 3.32 MIN: 3.71 MIN: 3.68 MIN: 3.63 MIN: 3.34 MIN: 5.3 MIN: 5.3 MIN: 5.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 7900 Ryzen 9 7900 Ryzen 7600 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7 7700 7700 2 4 6 8 10 SE +/- 0.03190, N = 3 5.21572 5.22674 7.06269 7.08048 7.09515 7.11121 7.33174 7.34668 MIN: 5.15 MIN: 5.15 MIN: 6.99 MIN: 6.98 MIN: 7 MIN: 7 MIN: 6.99 MIN: 7 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 0.234 0.468 0.702 0.936 1.17 SE +/- 0.000920, N = 3 0.625231 0.626177 0.794990 0.810815 0.811090 1.036130 1.039730 1.039960 MIN: 0.56 MIN: 0.56 MIN: 0.73 MIN: 0.74 MIN: 0.74 MIN: 1 MIN: 1 MIN: 1 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 0.3062 0.6124 0.9186 1.2248 1.531 SE +/- 0.005136, N = 3 0.880093 0.881827 0.989794 0.999360 1.002700 1.353100 1.355480 1.360780 MIN: 0.81 MIN: 0.8 MIN: 0.88 MIN: 0.89 MIN: 0.89 MIN: 1.3 MIN: 1.29 MIN: 1.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 600 1200 1800 2400 3000 SE +/- 0.92, N = 3 1678.88 1683.03 2225.66 2282.73 2289.26 2893.48 2896.00 2896.31 MIN: 1673.29 MIN: 1677.55 MIN: 2213.52 MIN: 2256.18 MIN: 2263.84 MIN: 2889.6 MIN: 2885.46 MIN: 2889.01 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 300 600 900 1200 1500 SE +/- 1.23, N = 3 855.55 855.91 1113.96 1152.24 1155.04 1450.48 1450.82 1453.82 MIN: 851.41 MIN: 851.85 MIN: 1102.31 MIN: 1133.82 MIN: 1129.24 MIN: 1445.4 MIN: 1438.48 MIN: 1450.65 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 600 1200 1800 2400 3000 SE +/- 2.35, N = 3 1675.22 1675.60 2231.81 2292.33 2294.35 2897.05 2897.08 2897.71 MIN: 1671.1 MIN: 1671.36 MIN: 2215.43 MIN: 2268.98 MIN: 2263.65 MIN: 2882.96 MIN: 2893.38 MIN: 2889.51 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 7 7700 7700 0.7594 1.5188 2.2782 3.0376 3.797 SE +/- 0.01337, N = 3 1.84748 1.99078 3.18229 3.26386 3.26570 3.27254 3.36363 3.37523 MIN: 1.79 MIN: 1.8 MIN: 3.09 MIN: 3.2 MIN: 3.2 MIN: 3.2 MIN: 3.08 MIN: 3.09 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 7900 7900 Ryzen 7 7700 7700 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 3 6 9 12 15 SE +/- 0.03364, N = 3 5.51763 5.67760 7.41505 7.41713 7.42742 9.59464 9.60780 10.12880 MIN: 4.88 MIN: 4.97 MIN: 6.75 MIN: 6.76 MIN: 6.85 MIN: 9.26 MIN: 9.17 MIN: 9.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 0.7445 1.489 2.2335 2.978 3.7225 SE +/- 0.00750, N = 3 2.16726 2.26091 2.46275 2.50232 2.50718 3.30342 3.30514 3.30903 MIN: 2.11 MIN: 2.08 MIN: 2.26 MIN: 2.34 MIN: 2.33 MIN: 3.14 MIN: 3.14 MIN: 3.15 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 300 600 900 1200 1500 SE +/- 0.60, N = 3 855.54 858.83 1112.46 1154.55 1155.40 1444.74 1446.49 1452.69 MIN: 851.94 MIN: 851.32 MIN: 1094.16 MIN: 1130.74 MIN: 1130.22 MIN: 1440.66 MIN: 1430.15 MIN: 1448.33 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 0.3718 0.7436 1.1154 1.4872 1.859 SE +/- 0.001514, N = 3 0.664113 0.665636 1.453490 1.534410 1.556490 1.635430 1.641670 1.652570 MIN: 0.62 MIN: 0.59 MIN: 1.41 MIN: 1.41 MIN: 1.41 MIN: 1.61 MIN: 1.62 MIN: 1.62 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 600 1200 1800 2400 3000 SE +/- 2.85, N = 3 1677.70 1680.33 2223.94 2272.72 2285.98 2888.44 2892.90 2895.71 MIN: 1673.08 MIN: 1675.48 MIN: 2210.21 MIN: 2247.96 MIN: 2258.7 MIN: 2854.93 MIN: 2888.21 MIN: 2880.28 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 300 600 900 1200 1500 SE +/- 0.41, N = 3 854.95 856.02 1110.93 1149.16 1156.11 1450.63 1450.70 1452.40 MIN: 851.04 MIN: 851.48 MIN: 1100.71 MIN: 1126.63 MIN: 1135.88 MIN: 1448.24 MIN: 1435.36 MIN: 1447.04 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 0.0708 0.1416 0.2124 0.2832 0.354 SE +/- 0.001519, N = 3 0.188795 0.189451 0.241004 0.250483 0.251777 0.312250 0.313129 0.314764 MIN: 0.17 MIN: 0.17 MIN: 0.22 MIN: 0.22 MIN: 0.22 MIN: 0.29 MIN: 0.29 MIN: 0.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 0.1239 0.2478 0.3717 0.4956 0.6195 SE +/- 0.000941, N = 3 0.312826 0.313116 0.415022 0.435514 0.436859 0.548822 0.550333 0.550724 MIN: 0.28 MIN: 0.28 MIN: 0.39 MIN: 0.39 MIN: 0.38 MIN: 0.52 MIN: 0.52 MIN: 0.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Parallel AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 7700 Ryzen 9 7900 7900 2K 4K 6K 8K 10K SE +/- 23.08, N = 3 7783 7765 7745 7683 7679 7489 7198 7025 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard 7900 Ryzen 9 7900 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 Ryzen 7 7700 7700 2K 4K 6K 8K 10K SE +/- 114.75, N = 12 9985 9748 9254 9204 8932 8623 8444 8431 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Parallel Ryzen 9 7900 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 110 220 330 440 550 SE +/- 0.17, N = 3 498 495 448 445 442 382 381 378 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Standard AMD 7700 7900 Ryzen 9 7900 AMD 7600 Ryzen 7600 Ryzen 7 7700 Ryzen 7600 AMD 7700 200 400 600 800 1000 SE +/- 40.22, N = 12 827 694 693 659 656 561 546 515 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Parallel 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 170 340 510 680 850 SE +/- 0.60, N = 3 772 767 676 668 667 555 552 550 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard AMD 7700 7700 7900 AMD 7600 Ryzen 7600 AMD Ryzen 7 7700 Ryzen 9 7900 Ryzen 7600 300 600 900 1200 1500 SE +/- 73.47, N = 12 1257 1239 1083 1000 757 729 716 534 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel 7900 Ryzen 9 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 20 40 60 80 100 SE +/- 0.00, N = 3 107 106 95 94 94 80 79 79 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard AMD 7700 7700 Ryzen 7600 AMD 7600 7900 Ryzen 9 7900 Ryzen 7600 AMD Ryzen 7 7700 30 60 90 120 150 SE +/- 6.47, N = 12 124 124 98 98 98 93 79 71 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Ryzen 9 7900 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 400 800 1200 1600 2000 SE +/- 3.11, N = 3 1936 1919 1670 1669 1640 1318 1304 1273 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard AMD 7700 Ryzen 9 7900 Ryzen 7600 7900 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 500 1000 1500 2000 2500 SE +/- 92.79, N = 12 2550 2508 1920 1735 1588 1580 1252 1107 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Parallel Ryzen 9 7900 7900 7700 Ryzen 7 7700 AMD 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 1500 3000 4500 6000 7500 SE +/- 23.47, N = 3 6791 6715 5892 5839 5747 4678 4674 4656 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard Ryzen 7 7700 Ryzen 9 7900 7900 7700 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 2K 4K 6K 8K 10K SE +/- 3.09, N = 3 8381 5796 5676 5333 5282 3994 3992 3985 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
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 - Mesh Time 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 8 16 24 32 40 26.69 26.94 31.23 31.41 31.59 35.29 35.45 35.47 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 - Execution Time Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 60 120 180 240 300 176.07 176.83 251.62 254.33 254.50 273.74 274.56 274.56 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
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.0 Algorithm: SHA256 7900 Ryzen 9 7900 Ryzen 7 7700 AMD 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 5000M 10000M 15000M 20000M 25000M SE +/- 148039451.93, N = 3 24118303190 24055372380 17544870130 17538082780 17490744260 13388156320 13335266100 13223838170 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 900 1800 2700 3600 4500 SE +/- 0.25, N = 3 4203.4 4201.8 2968.4 2958.4 2954.2 2265.5 2265.4 2265.1 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 60K 120K 180K 240K 300K SE +/- 6.07, N = 3 275022.1 274898.7 194261.5 194057.2 193624.5 148020.7 147994.7 147943.7 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 3 6 9 12 15 SE +/- 0.01, N = 3 9.19 9.19 6.93 6.89 6.87 5.36 5.34 5.33 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU AMD 7700 7700 Ryzen 7 7700 7900 Ryzen 9 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 160 320 480 640 800 SE +/- 1.54, N = 3 576.13 578.82 581.34 651.18 651.71 746.14 746.15 746.94 MIN: 505.33 / MAX: 597.67 MIN: 394.1 / MAX: 612.37 MIN: 454.21 / MAX: 613.21 MIN: 573.67 / MAX: 673.86 MIN: 621.09 / MAX: 672.91 MIN: 723.99 / MAX: 764.64 MIN: 724.14 / MAX: 766.22 MIN: 714.17 / MAX: 765.41 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 1.1678 2.3356 3.5034 4.6712 5.839 SE +/- 0.02, N = 3 5.19 5.16 3.93 3.92 3.87 3.07 3.06 3.04 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 7700 AMD 7700 Ryzen 7 7700 7900 Ryzen 9 7900 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 300 600 900 1200 1500 SE +/- 5.45, N = 3 1015.27 1016.68 1032.67 1153.46 1159.38 1293.34 1303.00 1309.26 MIN: 718.11 / MAX: 1124.23 MIN: 897.5 / MAX: 1118.4 MIN: 975.43 / MAX: 1129.72 MIN: 731.93 / MAX: 1335.35 MIN: 1036.64 / MAX: 1295.05 MIN: 914.71 / MAX: 1411.42 MIN: 1221.08 / MAX: 1432.12 MIN: 749.1 / MAX: 1427.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 7900 Ryzen 9 7900 Ryzen 7 7700 7700 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 1.1408 2.2816 3.4224 4.5632 5.704 SE +/- 0.01, N = 3 5.07 5.02 3.85 3.85 3.84 3.06 3.05 3.02 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU Ryzen 7 7700 7700 AMD 7700 7900 Ryzen 9 7900 AMD 7600 Ryzen 7600 AMD Ryzen 7600 300 600 900 1200 1500 SE +/- 6.34, N = 3 1032.40 1034.06 1039.00 1179.60 1190.80 1298.34 1306.12 1315.78 MIN: 820.72 / MAX: 1126.15 MIN: 699.51 / MAX: 1128.89 MIN: 913.61 / MAX: 1111.36 MIN: 1028.22 / MAX: 1530.8 MIN: 1049.79 / MAX: 1286.08 MIN: 960.85 / MAX: 1409.2 MIN: 773.95 / MAX: 1444.66 MIN: 728.56 / MAX: 1437.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU Ryzen 9 7900 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 150 300 450 600 750 SE +/- 0.75, N = 3 672.90 672.13 491.96 490.93 463.77 375.11 374.50 370.90 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 7700 Ryzen 7 7700 AMD 7700 Ryzen 9 7900 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 3 6 9 12 15 SE +/- 0.02, N = 3 8.12 8.14 8.62 8.91 8.92 10.66 10.67 10.78 MIN: 4.51 / MAX: 22.01 MIN: 5.28 / MAX: 22.47 MIN: 4.21 / MAX: 29.5 MIN: 5.72 / MAX: 19.34 MIN: 4.89 / MAX: 19.33 MIN: 5.63 / MAX: 25.42 MIN: 6.39 / MAX: 19.07 MIN: 4.84 / MAX: 21.35 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 4 8 12 16 20 SE +/- 0.01, N = 3 18.13 18.07 13.68 13.61 13.57 10.52 10.34 10.33 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU AMD 7700 7700 Ryzen 7 7700 Ryzen 9 7900 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 80 160 240 320 400 SE +/- 0.45, N = 3 292.09 293.37 294.43 330.58 331.39 379.73 386.47 386.64 MIN: 151.29 / MAX: 340.73 MIN: 221.79 / MAX: 312 MIN: 255.5 / MAX: 313.05 MIN: 304.74 / MAX: 342.3 MIN: 290.18 / MAX: 342.26 MIN: 333.61 / MAX: 390.72 MIN: 369.88 / MAX: 390.09 MIN: 366.98 / MAX: 393.57 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 300 600 900 1200 1500 SE +/- 5.59, N = 3 1164.42 1163.45 892.32 879.31 878.78 691.78 688.76 676.76 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU AMD 7700 Ryzen 7 7700 7700 7900 Ryzen 9 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 1.3275 2.655 3.9825 5.31 6.6375 SE +/- 0.05, N = 3 4.48 4.54 4.55 5.15 5.15 5.78 5.80 5.90 MIN: 2.84 / MAX: 12.69 MIN: 2.81 / MAX: 17.18 MIN: 2.74 / MAX: 17.33 MIN: 3.14 / MAX: 13.79 MIN: 3.05 / MAX: 67.86 MIN: 3.69 / MAX: 20.19 MIN: 3.43 / MAX: 7.38 MIN: 3.49 / MAX: 14.2 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 200 400 600 800 1000 SE +/- 3.29, N = 3 918.15 917.78 692.33 687.93 686.56 527.78 527.63 526.47 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU AMD 7700 7700 Ryzen 7 7700 7900 Ryzen 9 7900 Ryzen 7600 AMD Ryzen 7600 AMD 7600 2 4 6 8 10 SE +/- 0.05, N = 3 5.77 5.81 5.82 6.53 6.53 7.57 7.57 7.59 MIN: 3.07 / MAX: 13.01 MIN: 3.21 / MAX: 17.52 MIN: 3.02 / MAX: 17.51 MIN: 3.39 / MAX: 14.56 MIN: 3.38 / MAX: 14.89 MIN: 3.89 / MAX: 15.51 MIN: 3.93 / MAX: 20.27 MIN: 3.97 / MAX: 15.26 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 7900 Ryzen 9 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 20 40 60 80 100 SE +/- 0.52, N = 3 98.78 97.49 80.70 79.76 73.65 62.24 60.24 60.22 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 7700 Ryzen 7 7700 AMD 7700 7900 Ryzen 9 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 15 30 45 60 75 SE +/- 0.56, N = 3 49.54 50.14 54.27 60.71 61.53 64.24 66.37 66.40 MIN: 31.93 / MAX: 62.29 MIN: 39.21 / MAX: 63.67 MIN: 43.38 / MAX: 65.85 MIN: 49.57 / MAX: 69.26 MIN: 51.95 / MAX: 117.17 MIN: 35.74 / MAX: 76.68 MIN: 56.61 / MAX: 70.47 MIN: 52.54 / MAX: 72.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU Ryzen 9 7900 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 400 800 1200 1600 2000 SE +/- 1.12, N = 3 1832.77 1830.42 1369.35 1368.95 1368.90 1058.54 1056.82 1056.40 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU Ryzen 7600 Ryzen 7600 AMD AMD 7600 7700 AMD 7700 Ryzen 7 7700 Ryzen 9 7900 7900 2 4 6 8 10 SE +/- 0.01, N = 3 5.67 5.68 5.68 5.84 5.84 5.84 6.54 6.55 MIN: 3.77 / MAX: 11.12 MIN: 3.14 / MAX: 13.67 MIN: 3.04 / MAX: 13.81 MIN: 3.2 / MAX: 17.68 MIN: 3.13 / MAX: 13.02 MIN: 3.11 / MAX: 18.54 MIN: 3.68 / MAX: 16.14 MIN: 3.66 / MAX: 14.89 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 200 400 600 800 1000 SE +/- 3.37, N = 3 1102.44 1102.44 839.03 834.42 822.33 705.10 699.47 695.35 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU AMD 7700 Ryzen 7 7700 7700 7900 Ryzen 9 7900 Ryzen 7600 AMD AMD 7600 Ryzen 7600 1.2938 2.5876 3.8814 5.1752 6.469 SE +/- 0.03, N = 3 4.76 4.79 4.86 5.44 5.44 5.67 5.71 5.75 MIN: 3.73 / MAX: 12.41 MIN: 3.62 / MAX: 17.47 MIN: 3.43 / MAX: 7.38 MIN: 3.77 / MAX: 13.94 MIN: 3.81 / MAX: 14.78 MIN: 4.46 / MAX: 8.96 MIN: 4.14 / MAX: 17.41 MIN: 4.12 / MAX: 15.9 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 9 7900 7900 Ryzen 7 7700 7700 AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 6K 12K 18K 24K 30K SE +/- 16.00, N = 3 27522.21 27518.78 21184.20 21050.50 20765.76 16510.73 16444.44 16423.77 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 7600 AMD AMD 7600 Ryzen 7600 Ryzen 7 7700 7700 AMD 7700 7900 Ryzen 9 7900 0.0968 0.1936 0.2904 0.3872 0.484 SE +/- 0.00, N = 3 0.36 0.36 0.36 0.37 0.38 0.38 0.43 0.43 MIN: 0.22 / MAX: 8.48 MIN: 0.22 / MAX: 7.98 MIN: 0.22 / MAX: 12.84 MIN: 0.23 / MAX: 12.31 MIN: 0.23 / MAX: 13 MIN: 0.24 / MAX: 2.35 MIN: 0.26 / MAX: 9.51 MIN: 0.26 / MAX: 8.94 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 4K 8K 12K 16K 20K SE +/- 0.99, N = 3 16466.74 16311.47 12608.14 12534.52 12469.44 9516.26 9510.35 9490.50 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Ryzen 7600 AMD AMD 7600 AMD 7700 Ryzen 7600 7700 Ryzen 7 7700 Ryzen 9 7900 7900 0.1643 0.3286 0.4929 0.6572 0.8215 SE +/- 0.00, N = 3 0.63 0.63 0.63 0.63 0.64 0.64 0.72 0.73 MIN: 0.34 / MAX: 8.02 MIN: 0.39 / MAX: 1.84 MIN: 0.38 / MAX: 8.56 MIN: 0.34 / MAX: 12.67 MIN: 0.36 / MAX: 12.27 MIN: 0.37 / MAX: 13.2 MIN: 0.4 / MAX: 8.98 MIN: 0.39 / MAX: 9.37 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite 7700 7900 Ryzen 7 7700 Ryzen 9 7900 AMD 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 300K 600K 900K 1200K 1500K SE +/- 5632.48, N = 3 1233198 1227889 1218019 1186995 1184135 1154240 1149535 1143225
Primesieve Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e12 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 4 8 12 16 20 SE +/- 0.00, N = 3 10.06 10.07 13.08 13.17 13.20 16.69 16.71 16.72 1. (CXX) g++ options: -O3
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e13 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 40 80 120 160 200 SE +/- 0.48, N = 3 122.56 122.64 160.12 161.02 161.06 203.19 203.44 203.79 1. (CXX) g++ options: -O3
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times 7900 AMD 7700 7700 Ryzen 9 7900 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 140 280 420 560 700 SE +/- 2.40, N = 3 592 598 601 602 606 613 615 626
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 7900 Ryzen 7 7700 Ryzen 9 7900 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 AMD 7700 40 80 120 160 200 SE +/- 0.00, N = 3 167 167 167 168 173 173 174 177
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos AMD 7700 7900 7700 Ryzen 7 7700 Ryzen 9 7900 Ryzen 7600 Ryzen 7600 AMD AMD 7600 12 24 36 48 60 SE +/- 0.09, N = 3 53.0 53.1 53.2 53.2 53.3 55.1 55.2 55.4
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 13 26 39 52 65 SE +/- 0.12, N = 3 55.9 56.1 56.1 56.4 57.2 58.7 58.8 59.4
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody 7900 AMD 7700 Ryzen 9 7900 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 20 40 60 80 100 SE +/- 1.20, N = 3 77.4 77.5 78.4 79.4 79.6 79.9 81.9 83.5
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 3 6 9 12 15 SE +/- 0.00, N = 3 10.1 10.1 10.3 10.3 10.4 10.6 10.6 10.7
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace 7900 Ryzen 7 7700 AMD 7700 Ryzen 9 7900 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 60 120 180 240 300 SE +/- 0.33, N = 3 246 246 247 247 248 256 257 259
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads 7900 Ryzen 7 7700 Ryzen 9 7900 7700 AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 3 6 9 12 15 SE +/- 0.03, N = 3 11.8 11.8 11.8 11.9 12.1 12.3 12.3 12.4
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes AMD 7700 Ryzen 9 7900 7900 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 15 30 45 60 75 SE +/- 0.18, N = 3 60.2 60.4 60.6 60.6 62.3 63.0 63.6 66.1
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile Ryzen 9 7900 7900 Ryzen 7 7700 7700 AMD 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 20 40 60 80 100 SE +/- 0.00, N = 3 78.6 79.2 79.4 79.5 79.5 82.3 82.7 83.0
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup Ryzen 9 7900 7900 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 AMD 7700 2 4 6 8 10 SE +/- 0.00, N = 3 4.45 4.46 4.60 4.61 4.75 4.75 4.76 7.24
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7900 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 6 12 18 24 30 SE +/- 0.00, N = 3 24.5 24.6 24.6 24.7 24.8 25.7 25.8 25.8
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python AMD 7700 7900 Ryzen 9 7900 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 50 100 150 200 250 SE +/- 0.33, N = 3 221 223 223 225 225 231 232 232
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 1.21 Ryzen 7600 AMD 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 9 7900 Ryzen 7600 AMD 7600 900 1800 2700 3600 4500 SE +/- 40.10, N = 6 4180.6 4141.9 4131.8 4098.8 4090.7 3971.2 3966.6 3927.2 1. (CXX) g++ options: -O3 -march=native -rdynamic
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 50 100 150 200 250 SE +/- 2.30, N = 3 126.28 127.05 165.87 166.07 167.47 213.01 214.15 215.76 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D 7900 AMD 7700 Ryzen 7 7700 AMD 7600 Ryzen 9 7900 7700 Ryzen 7600 Ryzen 7600 AMD 15 30 45 60 75 SE +/- 0.87, N = 3 52.07 53.76 53.93 57.11 58.20 61.63 62.47 66.57 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte Ryzen 9 7900 7900 Ryzen 7600 AMD AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 20 40 60 80 100 SE +/- 0.15, N = 3 59.02 59.73 81.95 83.79 84.65 84.99 86.47 87.10 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 4 8 12 16 20 SE +/- 0.04, N = 3 11.01 11.03 13.97 14.56 14.60 18.12 18.16 18.19 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster Ryzen 9 7900 7900 AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 Ryzen 7 7700 7700 3 6 9 12 15 SE +/- 0.011, N = 3 8.298 8.430 11.578 11.961 11.979 12.069 12.114 12.127 1. (CXX) g++ options: -O2 -lOpenCL
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: Kostya AMD 7700 7900 7700 Ryzen 7 7700 Ryzen 9 7900 Ryzen 7600 Ryzen 7600 AMD AMD 7600 1.3005 2.601 3.9015 5.202 6.5025 SE +/- 0.01, N = 3 5.78 5.78 5.78 5.77 5.76 5.56 5.56 5.55 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: TopTweet Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 3 6 9 12 15 SE +/- 0.02, N = 3 10.10 10.06 9.95 9.92 9.86 9.51 9.50 9.11 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: LargeRandom Ryzen 9 7900 Ryzen 7 7700 AMD 7700 7900 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 0.4073 0.8146 1.2219 1.6292 2.0365 SE +/- 0.00, N = 3 1.81 1.79 1.79 1.79 1.79 1.73 1.72 1.72 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: PartialTweets Ryzen 9 7900 7900 Ryzen 7 7700 AMD 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 2 4 6 8 10 SE +/- 0.00, N = 3 8.27 8.24 8.21 8.17 8.16 7.91 7.90 7.89 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: DistinctUserID Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 3 6 9 12 15 SE +/- 0.11, N = 3 9.96 9.85 9.83 9.77 9.72 9.46 9.40 9.34 1. (CXX) g++ options: -O3
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 1.1679 2.3358 3.5037 4.6716 5.8395 SE +/- 0.002271, N = 3 5.190701 5.169464 4.181569 4.155565 4.152834 2.969558 2.968364 2.966052 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 0.8258 1.6516 2.4774 3.3032 4.129 SE +/- 0.003762, N = 3 3.670094 3.665911 3.000275 2.994469 2.986516 2.164760 2.159707 2.159067 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 0.5425 1.085 1.6275 2.17 2.7125 SE +/- 0.004557, N = 3 2.411040 2.401755 1.983660 1.975250 1.974448 1.432454 1.431009 1.426898 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 1.2129 2.4258 3.6387 4.8516 6.0645 SE +/- 0.000394, N = 3 5.390523 5.361025 4.328769 4.298268 4.297127 3.039627 3.039188 3.030473 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 1.127 2.254 3.381 4.508 5.635 SE +/- 0.002307, N = 3 5.008820 4.994920 4.079629 4.062221 4.052640 2.908029 2.905988 2.901161 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 0.8709 1.7418 2.6127 3.4836 4.3545 SE +/- 0.001525, N = 3 3.870727 3.867351 3.140910 3.114924 3.103417 2.231798 2.227509 2.220251 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 0.5822 1.1644 1.7466 2.3288 2.911 SE +/- 0.001409, N = 3 2.587619 2.573904 2.088438 2.078613 2.073321 1.490901 1.490200 1.488226 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 1.1811 2.3622 3.5433 4.7244 5.9055 SE +/- 0.001126, N = 3 5.249215 5.201137 4.228976 4.202963 4.178461 2.981309 2.980782 2.977773 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stockfish This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 15 Total Time 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 11M 22M 33M 44M 55M SE +/- 210730.41, N = 11 50796739 47480935 38273850 35499955 34904509 28121767 27957470 27167188 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Ryzen 9 7900 7900 7700 Ryzen 7 7700 AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 1.0053 2.0106 3.0159 4.0212 5.0265 SE +/- 0.003, N = 3 4.468 4.452 3.686 3.684 3.680 3.058 3.042 3.034 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 13 26 39 52 65 SE +/- 0.10, N = 3 56.40 56.29 45.91 45.54 45.47 37.28 37.24 37.18 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 40 80 120 160 200 SE +/- 0.28, N = 3 183.70 181.98 152.05 150.39 149.54 128.58 127.83 127.22 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 40 80 120 160 200 SE +/- 0.38, N = 3 190.96 189.15 162.39 162.38 161.95 136.85 136.43 136.23 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 3 6 9 12 15 SE +/- 0.02, N = 3 13.49 13.46 12.13 12.11 12.10 10.30 10.30 10.23 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 40 80 120 160 200 SE +/- 0.38, N = 3 158.66 158.21 129.95 129.25 129.24 106.89 106.01 105.84 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 150 300 450 600 750 SE +/- 2.69, N = 3 687.93 649.49 616.10 615.79 609.82 528.45 524.24 522.04 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 160 320 480 640 800 SE +/- 0.75, N = 3 739.51 728.99 677.96 670.53 668.09 580.00 579.19 578.51 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 0.8865 1.773 2.6595 3.546 4.4325 SE +/- 0.00, N = 3 3.94 3.94 2.98 2.96 2.96 2.31 2.30 2.30 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 16 32 48 64 80 SE +/- 0.03, N = 3 70.47 69.91 54.84 54.68 54.62 44.49 43.73 43.56 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 30 60 90 120 150 SE +/- 0.10, N = 3 134.92 134.80 110.60 110.11 109.97 89.96 89.65 89.26 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 4 8 12 16 20 SE +/- 0.00, N = 3 15.65 15.62 11.93 11.85 11.84 9.23 9.23 9.22 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 50 100 150 200 250 SE +/- 0.12, N = 3 218.50 217.47 174.52 172.81 172.71 137.30 137.14 137.00 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 100 200 300 400 500 SE +/- 1.08, N = 3 439.56 437.96 362.54 360.58 359.07 286.86 286.81 286.26 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 20 40 60 80 100 SE +/- 0.87, N = 3 93.60 90.79 72.63 72.25 71.99 65.55 63.84 63.00 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 70 140 210 280 350 SE +/- 2.29, N = 3 335.22 334.75 246.55 244.06 243.98 220.17 215.04 215.01 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 20 40 60 80 100 SE +/- 0.03, N = 3 100.14 99.80 80.15 78.29 77.30 69.18 68.55 68.23 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 80 160 240 320 400 SE +/- 0.15, N = 3 345.40 344.81 261.80 254.60 252.79 227.72 226.78 222.08 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 20 40 60 80 100 SE +/- 0.02, N = 3 85.60 84.90 64.52 64.46 64.38 53.52 53.35 53.26 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 60 120 180 240 300 SE +/- 0.32, N = 3 294.30 293.13 209.43 207.45 206.90 181.36 181.12 180.45 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Tachyon This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99.2 Total Time 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 30 60 90 120 150 SE +/- 0.64, N = 3 86.30 87.44 115.54 115.75 115.82 150.66 151.72 152.68 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 40 80 120 160 200 183.09 183.17 190.87 192.36 192.75 201.93 201.95 202.76
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 20 40 60 80 100 SE +/- 0.14, N = 3 58.80 59.25 77.66 77.88 78.74 96.22 96.30 97.40
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 13.0 Build System: Unix Makefiles Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 130 260 390 520 650 SE +/- 1.68, N = 3 374.36 375.35 495.07 503.16 511.00 621.55 621.82 622.39
Timed Mesa Compilation This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 21.0 Time To Compile 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 10 20 30 40 50 SE +/- 0.06, N = 3 28.88 29.01 37.68 38.21 38.25 45.92 45.97 46.05
Timed Wasmer Compilation This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 2.3 Time To Compile 7900 Ryzen 9 7900 Ryzen 7 7700 AMD 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 12 24 36 48 60 SE +/- 0.45, N = 3 37.91 37.93 44.18 44.33 44.70 50.77 50.81 53.13 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: DenseNet AMD 7700 7700 Ryzen 7 7700 7900 Ryzen 9 7900 AMD 7600 Ryzen 7600 AMD Ryzen 7600 500 1000 1500 2000 2500 SE +/- 0.40, N = 3 2066.07 2067.23 2069.75 2105.73 2112.15 2228.87 2235.31 2237.08 MIN: 2022.59 / MAX: 2107.46 MIN: 2021.19 / MAX: 2109.88 MIN: 2024.37 / MAX: 2112.67 MIN: 2070.42 / MAX: 2146.74 MIN: 2081.33 / MAX: 2147.82 MIN: 2216.04 / MAX: 2250 MIN: 2217.92 / MAX: 2257.35 MIN: 2217.88 / MAX: 2258.4 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: MobileNet v2 AMD 7700 7900 Ryzen 9 7900 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 40 80 120 160 200 SE +/- 0.23, N = 3 190.37 190.74 190.75 190.92 193.77 198.87 199.06 199.19 MIN: 189.7 / MAX: 193.98 MIN: 189.99 / MAX: 192.23 MIN: 190.01 / MAX: 191.51 MIN: 190.03 / MAX: 193.11 MIN: 192.93 / MAX: 195.31 MIN: 198.22 / MAX: 199.53 MIN: 198.12 / MAX: 200.3 MIN: 198.58 / MAX: 200.1 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v2 7900 Ryzen 7 7700 AMD 7700 7700 Ryzen 9 7900 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 11 22 33 44 55 SE +/- 0.35, N = 15 41.52 42.06 42.33 42.33 42.37 43.92 43.92 47.65 MIN: 41.17 / MAX: 42.01 MIN: 41.98 / MAX: 42.14 MIN: 42.3 / MAX: 42.43 MIN: 42.27 / MAX: 42.4 MIN: 42.26 / MAX: 42.44 MIN: 43.87 / MAX: 44.14 MIN: 43.9 / MAX: 44 MIN: 43.99 / MAX: 49.87 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 40 80 120 160 200 SE +/- 0.02, N = 3 180.38 182.77 183.89 184.08 184.21 191.08 191.09 191.09 MIN: 180.33 / MAX: 180.52 MIN: 182.69 / MAX: 182.89 MIN: 183.77 / MAX: 184.05 MIN: 183.99 / MAX: 184.18 MIN: 184.13 / MAX: 184.34 MIN: 191 / MAX: 191.26 MIN: 191.02 / MAX: 191.19 MIN: 190.97 / MAX: 191.36 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 0 - Input: Bosphorus 4K AMD 7700 Ryzen 7 7700 7700 7900 Ryzen 9 7900 AMD 7600 Ryzen 7600 AMD Ryzen 7600 3 6 9 12 15 SE +/- 0.02, N = 3 11.10 10.99 10.96 10.41 10.28 8.61 8.42 8.32 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 5 - Input: Bosphorus 4K 7700 Ryzen 7 7700 AMD 7700 7900 Ryzen 9 7900 AMD 7600 Ryzen 7600 AMD Ryzen 7600 7 14 21 28 35 SE +/- 0.11, N = 3 30.16 29.19 29.01 24.36 23.99 22.36 21.96 21.31 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 0 - Input: Bosphorus 1080p AMD 7700 7700 Ryzen 7 7700 Ryzen 9 7900 7900 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 6 12 18 24 30 SE +/- 0.06, N = 3 22.97 22.49 22.45 21.39 21.17 17.30 17.23 17.20 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 5 - Input: Bosphorus 1080p 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7900 Ryzen 9 7900 12 24 36 48 60 SE +/- 0.09, N = 3 54.49 54.43 53.38 52.68 52.04 52.03 46.88 46.83 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default 7900 Ryzen 7 7700 AMD 7700 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD Ryzen 9 7900 6 12 18 24 30 SE +/- 0.03, N = 3 27.24 26.94 26.94 26.94 25.97 25.95 25.83 24.00 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 4 8 12 16 20 SE +/- 0.01, N = 3 17.03 16.81 16.79 16.78 16.74 16.13 16.12 16.12 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless Ryzen 9 7900 7700 7900 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 0.4973 0.9946 1.4919 1.9892 2.4865 SE +/- 0.00, N = 3 2.21 2.21 2.19 2.18 2.17 2.09 2.08 2.05 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Ryzen 9 7900 7900 Ryzen 7 7700 7700 AMD 7700 Ryzen 7600 AMD 7600 Ryzen 7600 AMD 1.1925 2.385 3.5775 4.77 5.9625 SE +/- 0.00, N = 3 5.30 5.30 5.20 5.20 5.19 5.01 5.01 5.00 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression Ryzen 9 7900 AMD 7700 7900 Ryzen 7 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 0.1935 0.387 0.5805 0.774 0.9675 SE +/- 0.00, N = 3 0.86 0.85 0.85 0.84 0.84 0.82 0.82 0.81 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
x264 This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x264 2022-02-22 Video Input: Bosphorus 4K 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 11 22 33 44 55 SE +/- 0.31, N = 6 47.13 47.08 37.39 37.27 37.10 31.89 30.21 30.00 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.org Frames Per Second, More Is Better x264 2022-02-22 Video Input: Bosphorus 1080p Ryzen 9 7900 7900 Ryzen 7 7700 7700 AMD 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 50 100 150 200 250 SE +/- 1.62, N = 3 208.22 204.59 168.28 167.51 166.27 136.26 134.80 134.66 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K 7900 Ryzen 9 7900 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7700 AMD 7600 7700 7 14 21 28 35 SE +/- 0.23, N = 3 28.04 27.97 17.97 17.90 17.77 17.68 17.19 16.42 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 AMD 7600 Ryzen 7600 Ryzen 7600 AMD 20 40 60 80 100 SE +/- 0.55, N = 3 103.73 102.84 88.86 87.60 87.56 83.82 82.61 82.57 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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 7900 Ryzen 9 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 5 10 15 20 25 SE +/- 0.02, N = 3 15.07 15.08 19.44 19.56 19.59 20.94 20.96 20.99 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
Xmrig Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Monero - Hash Count: 1M Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 3K 6K 9K 12K 15K SE +/- 32.54, N = 3 12360.5 10059.7 7780.8 7745.2 7738.0 7171.7 7123.6 7002.2 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 3K 6K 9K 12K 15K SE +/- 6.89, N = 3 14144.3 14044.5 10277.3 10240.7 10175.6 7963.9 7962.2 7957.9 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Ryzen 9 7900 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 4 8 12 16 20 SE +/- 0.01, N = 3 10.85 10.87 12.68 12.72 12.77 15.04 15.05 15.08
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd 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 1.5.0 Compression Level: 3 - Compression Speed Ryzen 9 7900 7900 Ryzen 7 7700 AMD 7700 7700 Ryzen 7600 Ryzen 7600 AMD AMD 7600 1300 2600 3900 5200 6500 SE +/- 11.07, N = 3 6289.1 6230.7 5140.0 5126.4 5055.3 4863.4 4776.6 4772.9 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 3 - Decompression Speed 7900 Ryzen 7600 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 1200 2400 3600 4800 6000 SE +/- 86.19, N = 3 5794.7 5745.4 5722.7 5716.2 5715.1 5702.7 5596.1 5547.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8 - Compression Speed Ryzen 9 7900 7900 Ryzen 7600 AMD AMD 7600 Ryzen 7600 AMD 7700 7700 Ryzen 7 7700 400 800 1200 1600 2000 SE +/- 9.87, N = 3 2025.3 1985.8 1248.8 1231.3 1180.2 1119.3 1110.2 1090.6 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8 - Decompression Speed 7900 AMD 7700 Ryzen 7 7700 Ryzen 9 7900 Ryzen 7600 7700 Ryzen 7600 AMD AMD 7600 1300 2600 3900 5200 6500 SE +/- 7.12, N = 3 6277.1 6198.9 6188.3 6049.2 6021.3 5956.5 5834.2 5826.3 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 14 28 42 56 70 SE +/- 0.12, N = 3 64.2 63.8 52.6 52.5 52.4 43.6 43.1 42.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed 7900 Ryzen 9 7900 7700 AMD 7700 Ryzen 7 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 1200 2400 3600 4800 6000 SE +/- 7.45, N = 3 5452.4 5436.1 5364.1 5220.6 5185.2 5074.2 5072.4 5058.0 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 3, Long Mode - Compression Speed AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD AMD 7600 Ryzen 7600 7900 Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 3.73, N = 3 2012.9 2009.0 2007.3 1942.8 1937.1 1936.9 1825.4 1824.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 3, Long Mode - Decompression Speed Ryzen 9 7900 Ryzen 7600 7900 AMD 7700 7700 Ryzen 7600 AMD Ryzen 7 7700 AMD 7600 1400 2800 4200 5600 7000 SE +/- 67.24, N = 3 6423.9 6167.6 6167.2 6118.5 6098.4 6086.8 6083.3 5943.0 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Compression Speed 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 400 800 1200 1600 2000 SE +/- 2.90, N = 3 1637.9 1636.7 1454.3 1445.1 1443.8 1326.3 1320.8 1319.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 8, Long Mode - Decompression Speed Ryzen 9 7900 7900 AMD 7700 Ryzen 7 7700 7700 Ryzen 7600 AMD Ryzen 7600 AMD 7600 1400 2800 4200 5600 7000 SE +/- 3.15, N = 3 6696.2 6404.1 6347.1 6336.6 6311.6 6208.3 6200.6 6188.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed 7900 Ryzen 9 7900 AMD 7700 7700 Ryzen 7 7700 AMD 7600 Ryzen 7600 AMD Ryzen 7600 12 24 36 48 60 SE +/- 0.03, N = 3 51.6 51.0 46.8 46.4 45.8 35.9 35.9 35.7 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed 7700 AMD 7600 7900 Ryzen 7 7700 Ryzen 9 7900 Ryzen 7600 AMD AMD 7700 Ryzen 7600 1200 2400 3600 4800 6000 SE +/- 54.15, N = 3 5379.0 5239.2 5206.5 5186.4 5176.6 5133.0 5130.4 5039.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
7700 Processor: AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0805 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 2000GB, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000rc1daily20220820-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.224, Compiler: GCC 12.0.1 20220319, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 31 December 2022 19:45 by user pts.
7900 Processor: AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0805 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000rc1daily20220820-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.224, Compiler: GCC 12.0.1 20220319, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 December 2022 04:40 by user pts.
Ryzen 7600 AMD Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 January 2023 21:16 by user pts.
AMD 7600 Processor: AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0805 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000rc1daily20220820-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.224, Compiler: GCC 12.0.1 20220319, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 January 2023 18:30 by user pts.
AMD 7700 Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 January 2023 07:14 by user pts.
Ryzen 7 7700 Processor: AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0805 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 2000GB, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000rc1daily20220820-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.224, Compiler: GCC 12.0.1 20220319, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 January 2023 06:02 by user pts.
Ryzen 7600 Processor: AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0805 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 2000GB, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000rc1daily20220820-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.224, Compiler: GCC 12.0.1 20220319, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 January 2023 16:56 by user pts.
Ryzen 9 7900 Processor: AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0805 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000rc1daily20220820-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.224, Compiler: GCC 12.0.1 20220319, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 December 2022 18:02 by user pts.