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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30K 60K 90K 120K 150K SE +/- 90.75, N = 3 85166 121615 68387 86833 85433 68238 68845 122528 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 13K 26K 39K 52K 65K SE +/- 2.66, N = 3 46662.87 62268.64 35844.44 47545.73 46993.70 35828.14 35804.82 62268.38 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 90M 180M 270M 360M 450M SE +/- 42003.58, N = 3 385755100 433603300 391945100 391561900 385911600 392582200 392653733 435640000 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 158.29 119.53 206.46 158.42 158.99 206.77 207.29 119.05
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 145.29 123.05 188.62 144.68 145.39 189.54 188.46 124.04
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 60 120 180 240 300 SE +/- 0.11, N = 3 193.44 254.36 147.45 194.49 192.78 145.52 147.27 255.04 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Medium 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.26, N = 3 67.55 89.29 51.11 67.69 67.52 51.15 51.68 89.45 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Thorough 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.0037, N = 3 8.4276 11.2034 6.4047 8.4258 8.4455 6.4775 6.4785 11.2011 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Exhaustive 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.2657 0.5314 0.7971 1.0628 1.3285 SE +/- 0.0005, N = 3 0.8777 1.1809 0.6717 0.8790 0.8760 0.6815 0.6725 1.1811 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 0.20, N = 3 103.96 76.35 135.04 103.29 104.03 134.08 134.80 77.02
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Classroom - Compute: CPU-Only 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 80 160 240 320 400 SE +/- 0.20, N = 3 272.78 202.67 357.10 271.59 273.36 357.35 356.47 202.13
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.26, N = 3 134.78 100.60 173.72 134.16 135.18 174.02 174.24 100.47
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 2.65, N = 3 983.97 723.13 1284.52 973.45 989.72 1282.32 1284.02 723.78
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 90 180 270 360 450 SE +/- 0.21, N = 3 335.44 249.96 433.06 333.25 334.85 433.93 432.63 249.95
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 0.35, N = 3 92.71 69.91 113.89 90.49 93.34 115.54 114.28 70.29
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 14 28 42 56 70 SE +/- 0.02, N = 3 48.95 34.54 64.37 48.79 49.03 64.33 64.33 34.03 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 5K 10K 15K 20K 25K SE +/- 40.13, N = 3 15640 21166 12156 15748 15594 12090 12352 21212
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 150K 300K 450K 600K 750K SE +/- 1264.79, N = 3 497649.99 691509.80 385542.17 509464.00 494267.87 384184.41 385213.54 695719.39 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 160 320 480 640 800 SE +/- 1.54, N = 3 516.97 726.49 400.76 531.73 517.61 406.47 402.03 733.32 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200 400 600 800 1000 SE +/- 1.16, N = 3 583.09 804.79 446.02 586.79 583.56 448.30 448.72 804.66 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 100 200 300 400 500 SE +/- 1.68, N = 3 325.46 451.13 250.53 332.81 331.57 251.35 252.86 449.60 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3K 6K 9K 12K 15K SE +/- 16.47, N = 3 10410.00 14700.00 7944.47 10440.00 10380.00 7943.92 7961.37 14700.00 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 600 1200 1800 2400 3000 SE +/- 4.41, N = 3 2226.51 3027.86 1684.91 2207.98 2268.58 1709.61 1692.20 3027.67 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300K 600K 900K 1200K 1500K SE +/- 2843.36, N = 3 879560 1189120 662700 691560 868880 662460 664113 1182280 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1000 2000 3000 4000 5000 SE +/- 39.25, N = 3 4593.06 4566.15 3579.50 4711.29 4553.53 3534.18 3598.29 4390.50 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40K 80K 120K 160K 200K SE +/- 695.37, N = 3 134800 181540 103030 137650 134450 103040 103337 183410 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 11K 22K 33K 44K 55K SE +/- 250.27, N = 3 43140 52490 33340 43190 43080 33330 33530 49110 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20K 40K 60K 80K 100K SE +/- 26.67, N = 3 72360 96310 53840 71750 70730 53810 53693 96150 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40K 80K 120K 160K 200K SE +/- 21.86, N = 3 149450 208470 115330 153350 147910 115430 114893 207140 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 60K 120K 180K 240K 300K SE +/- 1138.26, N = 13 220550 295130 168810 220960 217830 165660 167343 295660 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3M 6M 9M 12M 15M SE +/- 122230.58, N = 8 14574274 14804887 14053268 14572555 14513008 14170376 13949188 14646827 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 11.02, N = 4 2459 2294 2540 2540 2360 2538 2538 2348
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 19.27, N = 4 2015 1936 2154 2128 2201 2242 1880 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 19.03, N = 20 1371 1655 1359 1403 1407 1424 1461 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.0316 2.0632 3.0948 4.1264 5.158 SE +/- 0.018, N = 3 3.785 3.028 4.557 3.667 3.742 4.585 4.526 3.056
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.8.1 Test: Masskrug - Acceleration: CPU-only 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.9644 1.9288 2.8932 3.8576 4.822 SE +/- 0.013, N = 3 3.690 3.071 4.232 3.584 3.652 4.286 4.220 3.174
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.8.1 Test: Server Rack - Acceleration: CPU-only 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.0401 0.0802 0.1203 0.1604 0.2005 SE +/- 0.001, N = 3 0.156 0.135 0.176 0.148 0.158 0.178 0.177 0.126
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.8.1 Test: Server Room - Acceleration: CPU-only 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.7389 1.4778 2.2167 2.9556 3.6945 SE +/- 0.036, N = 3 2.894 2.576 3.250 2.831 2.902 3.284 3.243 2.539
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.00, N = 5 11.69 11.65 12.10 11.67 11.67 12.10 12.10 11.57 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.062, N = 3 10.183 13.306 10.421 9.866 10.033 10.417 10.306 13.602
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.30 Test: rotate 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.015, N = 3 9.297 9.182 9.505 8.971 9.182 9.446 9.509 9.406
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.30 Test: auto-levels 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.012, N = 3 9.522 10.150 9.801 9.247 9.488 9.779 9.809 10.279
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.30 Test: unsharp-mask 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.02, N = 3 10.67 12.38 10.80 10.31 10.54 10.74 10.80 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 8 16 24 32 40 SE +/- 0.04, N = 3 32.05 31.72 33.19 32.37 32.08 33.13 33.07 31.43 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 16.32, N = 8 2115.2 1430.4 1862.7 2128.8 2004.4 1923.9 1934.1 1322.9 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: Signal Source (Cosine) 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1300 2600 3900 5200 6500 SE +/- 6.70, N = 8 6105.9 5014.0 5870.7 6084.9 6088.9 5846.2 5865.6 5162.0 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: FIR Filter 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 3.50, N = 8 1485.9 1374.7 1448.5 1498.3 1508.7 1436.2 1436.8 1402.1 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: IIR Filter 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 120 240 360 480 600 SE +/- 3.03, N = 8 561.1 560.7 541.8 570.8 575.8 544.3 541.5 561.2 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: FM Deemphasis Filter 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200 400 600 800 1000 SE +/- 2.20, N = 8 958.4 905.0 919.1 941.1 943.1 911.7 913.7 907.5 1. 3.10.1.1
OpenBenchmarking.org MiB/s, More Is Better GNU Radio Test: Hilbert Transform 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200 400 600 800 1000 SE +/- 5.10, N = 8 759.8 741.4 725.5 775.5 760.3 709.6 738.4 716.6 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 0.83, N = 3 209.08 169.05 237.47 207.91 209.84 239.33 235.98 168.93 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.4545 0.909 1.3635 1.818 2.2725 SE +/- 0.006, N = 3 1.468 2.018 1.234 1.480 1.465 1.237 1.231 2.020 1. (CXX) g++ options: -O3
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.013, N = 3 5.786 8.098 4.555 5.884 5.840 4.582 4.517 8.059
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 16 32 48 64 80 SE +/- 0.09, N = 3 71.36 72.61 67.93 71.90 70.44 69.36 69.94 71.36
OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.7 CPU Threads: All 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 80 160 240 320 400 SE +/- 0.21, N = 3 361.28 204.91 318.81 365.43 344.88 334.93 336.39 201.39
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.01, N = 3 12.09 12.53 11.28 12.11 11.96 11.44 11.41 12.27 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.00, N = 3 11.90 12.32 11.07 11.92 11.76 11.22 11.21 12.09 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.02, N = 3 11.80 12.20 10.97 11.82 11.61 11.12 11.13 11.98 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.01, N = 3 11.57 12.00 10.76 11.61 11.43 10.94 10.93 11.78 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.225 0.45 0.675 0.9 1.125 SE +/- 0.01, N = 3 0.98 1.00 0.96 1.00 0.97 0.96 0.95 0.97 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: 100 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.2115 0.423 0.6345 0.846 1.0575 SE +/- 0.02, N = 6 0.91 0.92 0.83 0.88 0.87 0.94 0.85 0.86 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.00, N = 3 11.32 13.97 9.10 11.36 11.33 9.09 9.12 13.89 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 14 28 42 56 70 SE +/- 0.06, N = 3 58.56 63.17 44.68 58.86 58.76 44.65 44.68 63.16 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 7 14 21 28 35 SE +/- 0.05, N = 3 26.20 31.48 21.15 26.42 26.18 21.14 21.10 31.45 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 12 24 36 48 60 SE +/- 0.11, N = 3 46.84 54.71 38.04 47.01 46.89 37.96 38.17 54.60 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 0.03, N = 3 111.46 118.78 91.22 111.63 111.56 91.18 91.30 118.71 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 0.22, N = 3 201.63 216.49 160.45 202.80 201.88 160.21 160.28 215.98 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.1219 2.2438 3.3657 4.4876 5.6095 SE +/- 0.003, N = 3 4.806 4.795 4.978 4.792 4.803 4.986 4.978 4.809 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 21.50, N = 3 1588 1601 1554 1519 1535 1520 1514 1623 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 14.96, N = 9 1542 1607 1475 1540 1548 1499 1495 1650 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 2 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 15 30 45 60 75 SE +/- 0.03, N = 3 56.44 47.10 67.81 55.99 56.57 67.82 67.69 47.23 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.014, N = 3 5.323 4.240 6.700 5.288 5.384 6.653 6.659 4.299 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6, Lossless 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.014, N = 3 8.171 6.826 9.957 8.050 8.174 9.860 9.902 6.765 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 10, Lossless 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.9792 1.9584 2.9376 3.9168 4.896 SE +/- 0.019, N = 3 3.872 3.501 4.352 3.897 3.880 4.341 4.325 3.621 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20M 40M 60M 80M 100M SE +/- 98206.13, N = 3 104350000 105440000 99900000 104300000 104260000 100010000 100353333 106460000 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 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40M 80M 120M 160M 200M SE +/- 1746140.93, N = 7 208010000 207520000 197510000 205760000 207040000 199960000 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 90M 180M 270M 360M 450M SE +/- 265476.51, N = 3 401540000 411000000 398100000 407210000 401240000 388980000 400603333 402680000 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 160M 320M 480M 640M 800M SE +/- 6183407.06, N = 4 756340000 739430000 583500000 759310000 759550000 585770000 573297500 753250000 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200M 400M 600M 800M 1000M SE +/- 86474.15, N = 3 774160000 1033600000 597410000 778000000 786180000 596850000 597473333 1034000000 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200M 400M 600M 800M 1000M SE +/- 2020662.71, N = 3 775660000 1032600000 598510000 776550000 772840000 594580000 596263333 1033000000 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.110, N = 15 5.943 10.564 5.322 5.522 5.883 6.505 6.237 10.396 MIN: 5.47 / MAX: 9.31 MIN: 10.43 / MAX: 11.26 MIN: 5.29 / MAX: 6.27 MIN: 5.45 / MAX: 17.02 MIN: 5.44 / MAX: 8.54 MIN: 6.43 / MAX: 8.41 MIN: 5.32 / MAX: 16.05 MIN: 10.29 / MAX: 18.12 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.3386 0.6772 1.0158 1.3544 1.693 SE +/- 0.005, N = 15 0.741 1.505 0.737 0.725 0.736 0.801 0.783 1.493 MIN: 0.71 / MAX: 2.7 MIN: 1.48 / MAX: 9.16 MIN: 0.73 / MAX: 1.1 MIN: 0.72 / MAX: 1.2 MIN: 0.7 / MAX: 1.39 MIN: 0.79 / MAX: 3.51 MIN: 0.73 / MAX: 2.85 MIN: 1.47 / MAX: 1.96 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.5675 1.135 1.7025 2.27 2.8375 SE +/- 0.008, N = 15 1.272 2.522 1.375 1.244 1.301 1.466 1.448 2.452 MIN: 1.2 / MAX: 3.38 MIN: 2.47 / MAX: 2.98 MIN: 1.36 / MAX: 1.66 MIN: 1.23 / MAX: 3.26 MIN: 1.24 / MAX: 3.27 MIN: 1.45 / MAX: 3.38 MIN: 1.37 / MAX: 8.4 MIN: 2.42 / MAX: 4.54 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.045, N = 15 7.871 13.653 11.558 7.334 7.877 12.085 11.988 13.620 MIN: 7.16 / MAX: 10.56 MIN: 13.54 / MAX: 15.73 MIN: 11.48 / MAX: 19.17 MIN: 7.13 / MAX: 19.12 MIN: 7.19 / MAX: 10.65 MIN: 11.68 / MAX: 24.46 MIN: 11.25 / MAX: 19.5 MIN: 13.5 / MAX: 15.47 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.8692 1.7384 2.6076 3.4768 4.346 SE +/- 0.017, N = 15 2.559 3.771 2.434 2.420 2.557 2.618 2.583 3.863 MIN: 2.41 / MAX: 4.85 MIN: 3.69 / MAX: 4.19 MIN: 2.4 / MAX: 9.97 MIN: 2.38 / MAX: 13.73 MIN: 2.4 / MAX: 5.3 MIN: 2.59 / MAX: 4.5 MIN: 2.41 / MAX: 9.64 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.7088 1.4176 2.1264 2.8352 3.544 SE +/- 0.011, N = 15 1.812 3.150 1.638 1.735 1.827 1.770 1.745 3.113 MIN: 1.71 / MAX: 3.68 MIN: 3.1 / MAX: 3.75 MIN: 1.62 / MAX: 2.05 MIN: 1.71 / MAX: 3.74 MIN: 1.72 / MAX: 3.71 MIN: 1.74 / MAX: 3.67 MIN: 1.63 / MAX: 8.75 MIN: 3.04 / MAX: 3.57 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.8327 1.6654 2.4981 3.3308 4.1635 SE +/- 0.002, N = 15 1.558 3.701 2.848 1.482 1.518 2.864 2.854 3.560 MIN: 1.47 / MAX: 4.02 MIN: 3.63 / MAX: 3.81 MIN: 2.83 / MAX: 3.19 MIN: 1.47 / MAX: 3.45 MIN: 1.44 / MAX: 4.13 MIN: 2.83 / MAX: 14.09 MIN: 2.82 / MAX: 9.6 MIN: 3.49 / MAX: 4.01 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 5 10 15 20 25 SE +/- 0.24, N = 15 15.51 20.92 14.12 14.60 15.37 16.87 16.39 22.47 MIN: 14.26 / MAX: 35.72 MIN: 20.57 / MAX: 28.87 MIN: 14.05 / MAX: 15.71 MIN: 14.2 / MAX: 25.71 MIN: 14.16 / MAX: 25.66 MIN: 16.72 / MAX: 18.95 MIN: 13.9 / MAX: 24.09 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.4641 0.9282 1.3923 1.8564 2.3205 SE +/- 0.00775, N = 3 1.60383 1.19006 2.04244 1.60057 1.60552 2.06285 2.06226 1.19044
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 9K 18K 27K 36K 45K SE +/- 42.32, N = 3 26811.90 43264.20 26241.32 26715.20 26612.66 26385.90 26610.53 42376.80 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3K 6K 9K 12K 15K SE +/- 33.87, N = 3 9535.43 11923.73 8741.36 9511.86 9553.45 8923.12 8739.83 11860.08 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 13.02, N = 5 1588.73 2155.92 1143.01 1561.40 1514.07 1192.54 1173.77 2150.58 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: EP.D 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 9.35, N = 9 1551.49 2158.45 1199.83 1507.33 1562.22 1197.05 1172.13 2117.95 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 5K 10K 15K 20K 25K SE +/- 13.02, N = 3 24004.74 24918.34 18201.55 23901.69 23930.17 18217.43 18180.58 24557.85 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: IS.D 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 6.92, N = 3 1452.37 1498.34 1299.85 1401.10 1428.57 1304.94 1322.96 1464.48 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 10K 20K 30K 40K 50K SE +/- 16.61, N = 3 43910.53 44535.60 31784.52 44080.08 43900.91 31801.69 31737.61 44554.53 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 5K 10K 15K 20K 25K SE +/- 5.90, N = 3 23860.31 25610.96 21352.01 24079.99 23843.51 21396.59 21442.67 25644.03 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4K 8K 12K 16K 20K SE +/- 6.22, N = 3 12225.69 20541.04 12334.26 12368.45 12239.64 12314.21 12327.50 20602.99 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3K 6K 9K 12K 15K SE +/- 8.95, N = 3 10989.41 12794.75 11044.46 11060.80 10954.11 11031.34 11043.48 12761.88 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.00, N = 3 7.39 8.67 6.90 6.54 7.12 7.13 6.89 8.40 MIN: 6.93 / MAX: 8.47 MIN: 8.58 / MAX: 9.22 MIN: 6.86 / MAX: 7.51 MIN: 6.46 / MAX: 8.01 MIN: 6.65 / MAX: 8.21 MIN: 7.05 / MAX: 8.48 MIN: 6.85 / MAX: 7.4 MIN: 8.31 / MAX: 8.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.7673 1.5346 2.3019 3.0692 3.8365 SE +/- 0.00, N = 3 1.98 3.39 1.92 1.87 1.98 2.05 1.91 3.41 MIN: 1.83 / MAX: 3.36 MIN: 3.36 / MAX: 3.7 MIN: 1.89 / MAX: 2.4 MIN: 1.83 / MAX: 2.22 MIN: 1.84 / MAX: 3.02 MIN: 2 / MAX: 2.62 MIN: 1.88 / MAX: 2.37 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.6705 1.341 2.0115 2.682 3.3525 SE +/- 0.00, N = 3 1.50 2.97 1.53 1.42 1.50 1.58 1.53 2.98 MIN: 1.39 / MAX: 2.4 MIN: 2.94 / MAX: 3.32 MIN: 1.51 / MAX: 1.94 MIN: 1.4 / MAX: 1.85 MIN: 1.39 / MAX: 2.44 MIN: 1.53 / MAX: 3.86 MIN: 1.5 / MAX: 2.03 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.783 1.566 2.349 3.132 3.915 SE +/- 0.00, N = 3 1.53 3.48 1.58 1.45 1.49 1.60 1.58 3.48 MIN: 1.47 / MAX: 3.01 MIN: 3.44 / MAX: 3.9 MIN: 1.57 / MAX: 1.93 MIN: 1.43 / MAX: 1.65 MIN: 1.44 / MAX: 2.07 MIN: 1.58 / MAX: 1.99 MIN: 1.56 / MAX: 2.18 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.6885 1.377 2.0655 2.754 3.4425 SE +/- 0.00, N = 3 1.71 3.06 1.61 1.50 1.58 1.67 1.61 3.06 MIN: 1.61 / MAX: 2.55 MIN: 3.03 / MAX: 3.46 MIN: 1.59 / MAX: 2.01 MIN: 1.48 / MAX: 1.65 MIN: 1.48 / MAX: 2.46 MIN: 1.64 / MAX: 2.16 MIN: 1.59 / MAX: 2 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.9428 1.8856 2.8284 3.7712 4.714 SE +/- 0.00, N = 3 2.91 4.19 2.72 2.50 2.70 2.86 2.69 4.18 MIN: 2.68 / MAX: 4.44 MIN: 4.14 / MAX: 4.62 MIN: 2.68 / MAX: 3.26 MIN: 2.46 / MAX: 3.01 MIN: 2.48 / MAX: 5.14 MIN: 2.81 / MAX: 4.44 MIN: 2.66 / MAX: 3.21 MIN: 4.15 / MAX: 4.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.315 0.63 0.945 1.26 1.575 SE +/- 0.00, N = 3 0.59 1.39 0.53 0.54 0.57 0.53 0.53 1.40 MIN: 0.56 / MAX: 1.26 MIN: 1.37 / MAX: 1.49 MIN: 0.52 / MAX: 0.87 MAX: 0.72 MIN: 0.54 / MAX: 1.6 MIN: 0.52 / MAX: 0.66 MIN: 0.52 / MAX: 0.93 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.04, N = 3 6.70 8.01 5.73 5.30 5.69 5.95 5.64 8.07 MIN: 6.24 / MAX: 7.84 MIN: 7.91 / MAX: 8.62 MIN: 5.68 / MAX: 6.22 MIN: 5.22 / MAX: 6.91 MIN: 5.28 / MAX: 6.93 MIN: 5.85 / MAX: 7.49 MIN: 5.54 / MAX: 6.73 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 6 12 18 24 30 SE +/- 0.03, N = 3 26.91 24.20 25.88 24.35 25.43 25.91 25.85 24.24 MIN: 25.94 / MAX: 29.02 MIN: 23.94 / MAX: 25.17 MIN: 25.66 / MAX: 26.69 MIN: 24.09 / MAX: 34.85 MIN: 24.43 / MAX: 27.56 MIN: 25.66 / MAX: 27.54 MIN: 25.64 / MAX: 31.08 MIN: 23.97 / MAX: 25.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.09, N = 3 6.96 7.16 5.56 5.78 6.03 5.68 5.65 7.13 MIN: 6.51 / MAX: 8.09 MIN: 7 / MAX: 7.92 MIN: 5.51 / MAX: 6.33 MIN: 5.57 / MAX: 12.93 MIN: 5.61 / MAX: 7.05 MIN: 5.51 / MAX: 7.09 MIN: 5.5 / MAX: 6.42 MIN: 6.99 / MAX: 7.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.0508 2.1016 3.1524 4.2032 5.254 SE +/- 0.00, N = 3 4.67 4.62 4.24 4.25 4.66 4.43 4.24 4.62 MIN: 4.37 / MAX: 5.86 MIN: 4.55 / MAX: 5.18 MIN: 4.22 / MAX: 4.83 MIN: 4.19 / MAX: 5.65 MIN: 4.36 / MAX: 5.78 MIN: 4.39 / MAX: 5 MIN: 4.21 / MAX: 4.84 MIN: 4.55 / MAX: 5.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.04, N = 3 11.52 12.20 11.11 9.91 10.34 11.11 11.06 12.09 MIN: 10.79 / MAX: 13.36 MIN: 12.02 / MAX: 13.2 MIN: 11.03 / MAX: 11.66 MIN: 9.79 / MAX: 11.38 MIN: 9.67 / MAX: 12.24 MIN: 10.95 / MAX: 12.56 MIN: 10.94 / MAX: 11.76 MIN: 11.98 / MAX: 13.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.12, N = 3 13.12 14.09 12.19 11.40 12.06 12.34 12.03 13.70 MIN: 12.22 / MAX: 14.69 MIN: 13.9 / MAX: 14.24 MIN: 11.76 / MAX: 12.93 MIN: 11.18 / MAX: 13.15 MIN: 11.25 / MAX: 14.07 MIN: 11.85 / MAX: 14.12 MIN: 11.74 / MAX: 13.04 MIN: 13.55 / MAX: 14.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.01, N = 3 10.33 11.74 9.17 9.09 10.02 9.20 9.12 11.73 MIN: 9.5 / MAX: 11.46 MIN: 11.43 / MAX: 21.52 MIN: 9.02 / MAX: 9.75 MIN: 8.76 / MAX: 10.49 MIN: 9.18 / MAX: 19.45 MIN: 8.98 / MAX: 10.63 MIN: 8.99 / MAX: 9.91 MIN: 11.48 / MAX: 12.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.01, N = 3 4.91 10.34 4.78 4.61 4.83 4.81 4.73 10.51 MIN: 4.56 / MAX: 6.15 MIN: 10.27 / MAX: 10.81 MIN: 4.74 / MAX: 5.24 MIN: 4.51 / MAX: 14.57 MIN: 4.51 / MAX: 7.13 MIN: 4.74 / MAX: 6.32 MIN: 4.68 / MAX: 5.18 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.04, N = 3 100.13 93.50 110.10 99.54 100.43 110.67 110.17 90.21 MIN: 98.97 / MAX: 104.21 MIN: 93.19 / MAX: 97.76 MIN: 109.45 / MAX: 116.06 MIN: 98.35 / MAX: 108.29 MIN: 98.86 / MAX: 105.15 MIN: 109.86 / MAX: 120.66 MIN: 109.46 / MAX: 111.5 MIN: 89.92 / MAX: 96.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.9383 1.8766 2.8149 3.7532 4.6915 SE +/- 0.01, N = 3 1.90 4.16 1.71 1.72 1.76 1.85 1.71 4.17 MIN: 1.83 / MAX: 2.67 MIN: 4.11 / MAX: 4.2 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: 1.69 / MAX: 3.07 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 14000M 28000M 42000M 56000M 70000M SE +/- 29429369.31, N = 3 55524300000 64877800000 49735600000 56008400000 55548200000 49717500000 49808633333 65974500000 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.0028, N = 3 6.1455 8.5176 4.7633 6.1644 6.1182 4.7580 4.7536 8.5267
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 150 300 450 600 750 SE +/- 0.22, N = 3 650.21 703.74 629.80 647.74 650.70 630.50 630.93 703.55
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.0033, N = 3 6.1178 7.9284 4.7141 6.1330 6.0952 4.7145 4.7116 7.9037
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 0.15, N = 3 163.45 126.12 212.12 163.05 164.06 212.11 212.24 126.52
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.10, N = 3 57.45 80.95 47.78 58.04 57.39 47.93 48.09 80.89
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 16 32 48 64 80 SE +/- 0.12, N = 3 69.61 74.10 62.77 68.91 69.68 62.57 62.38 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 13 26 39 52 65 SE +/- 0.07, N = 3 58.84 54.58 45.74 59.30 58.91 45.91 45.74 54.78
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 5 10 15 20 25 SE +/- 0.03, N = 3 16.99 18.32 21.86 16.86 16.97 21.78 21.86 18.25
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.26, N = 3 62.30 85.19 49.65 62.95 62.75 49.63 49.72 85.16
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 16 32 48 64 80 SE +/- 0.31, N = 3 64.17 70.32 60.33 63.50 63.67 60.41 60.29 70.33
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 15 30 45 60 75 SE +/- 0.06, N = 3 54.26 65.31 42.82 54.71 54.59 42.86 42.79 65.06
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 6 12 18 24 30 SE +/- 0.03, N = 3 18.42 15.30 23.35 18.27 18.31 23.33 23.36 15.36
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.10, N = 3 146.43 202.12 113.78 146.77 146.03 113.83 113.45 200.92
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 7 14 21 28 35 SE +/- 0.02, N = 3 27.31 29.67 26.35 27.24 27.38 26.34 26.43 29.84
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 0.12, N = 3 124.49 132.18 85.23 125.30 124.44 85.48 85.31 131.38
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.0166, N = 3 8.0274 7.5604 11.7273 7.9751 8.0301 11.6917 11.7158 7.6063
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 0.05, N = 3 92.18 126.36 71.08 92.45 92.01 71.82 71.40 127.26
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 11 22 33 44 55 SE +/- 0.03, N = 3 43.38 47.47 42.20 43.26 43.46 41.76 42.00 47.12
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.08, N = 3 80.09 93.30 63.90 80.70 80.44 63.95 63.76 92.13
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.02, N = 3 12.48 10.71 15.64 12.39 12.43 15.63 15.68 10.85
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 14 28 42 56 70 SE +/- 0.07, N = 3 46.02 62.12 35.61 46.01 45.62 35.70 35.60 61.85
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.16, N = 3 86.90 96.55 84.22 86.92 87.67 84.01 84.26 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 11 22 33 44 55 SE +/- 0.08, N = 3 40.38 47.29 31.94 40.63 40.05 31.81 31.99 47.00
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 7 14 21 28 35 SE +/- 0.08, N = 3 24.76 21.14 31.30 24.61 24.96 31.43 31.26 21.27
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.0023, N = 3 6.1425 8.5039 4.7576 6.1603 6.1347 4.7550 4.7544 8.5038
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 150 300 450 600 750 SE +/- 0.30, N = 3 651.14 705.41 630.55 649.26 651.97 630.90 630.99 704.98
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.0024, N = 3 6.0832 7.9151 4.7175 6.1507 6.0866 4.7167 4.7213 7.9169
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 0.11, N = 3 164.38 126.34 211.97 162.58 164.29 212.01 211.80 126.31
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.07, N = 3 79.40 74.25 79.55 77.61 80.19 79.79 79.98 75.53 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 16 32 48 64 80 SE +/- 0.33, N = 3 70.91 66.59 71.97 67.78 71.93 72.87 73.08 65.95 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.9084 1.8168 2.7252 3.6336 4.542 SE +/- 0.01473, N = 3 3.25358 2.50650 4.02215 3.10451 3.24532 4.03751 4.02941 2.51776 MIN: 2.88 MIN: 2.24 MIN: 3.76 MIN: 2.9 MIN: 2.84 MIN: 3.76 MIN: 3.74 MIN: 2.21 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.0423 2.0846 3.1269 4.1692 5.2115 SE +/- 0.00604, N = 3 4.32645 3.17749 4.47534 4.17400 4.31902 4.63234 4.48129 3.17985 MIN: 4.15 MIN: 3.13 MIN: 4.38 MIN: 4.14 MIN: 4.14 MIN: 4.54 MIN: 4.4 MIN: 3.13 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.1692 0.3384 0.5076 0.6768 0.846 SE +/- 0.000677, N = 3 0.599888 0.590633 0.751907 0.588639 0.600244 0.750002 0.751935 0.595211 MIN: 0.56 MIN: 0.54 MIN: 0.73 MIN: 0.56 MIN: 0.55 MIN: 0.72 MIN: 0.73 MIN: 0.54 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 3D - Data Type: u8s8f32 - Engine: CPU 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.2302 0.4604 0.6906 0.9208 1.151 SE +/- 0.008119, N = 3 0.962285 0.388582 1.010390 0.916936 0.951769 1.015800 1.023050 0.359992 MIN: 0.85 MIN: 0.36 MIN: 0.95 MIN: 0.86 MIN: 0.84 MIN: 0.95 MIN: 0.95 MIN: 0.33 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.3563 0.7126 1.0689 1.4252 1.7815 SE +/- 0.00075, N = 3 1.27245 1.14326 1.58360 1.23496 1.27209 1.57492 1.58054 1.14443 MIN: 1.16 MIN: 1.05 MIN: 1.52 MIN: 1.13 MIN: 1.16 MIN: 1.5 MIN: 1.49 MIN: 1.01 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.5995 1.199 1.7985 2.398 2.9975 SE +/- 0.02309, N = 3 2.50229 1.54207 2.57305 2.33499 2.45222 2.66452 2.57769 1.54403 MIN: 2.29 MIN: 1.47 MIN: 2.51 MIN: 2.28 MIN: 2.28 MIN: 2.47 MIN: 2.49 MIN: 1.48 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.00408, N = 3 7.64763 5.72641 7.37699 7.30768 7.63993 7.39868 7.38014 5.70365 MIN: 7.23 MIN: 5.61 MIN: 7.29 MIN: 7.2 MIN: 7.21 MIN: 7.3 MIN: 7.29 MIN: 5.58 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.2279 2.4558 3.6837 4.9116 6.1395 SE +/- 0.00921, N = 3 4.37736 3.49424 5.41634 4.28496 4.39946 5.45728 5.43706 3.49499 MIN: 3.85 MIN: 3.05 MIN: 5.23 MIN: 3.88 MIN: 3.84 MIN: 5.22 MIN: 5.22 MIN: 3.06 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.2031 2.4062 3.6093 4.8124 6.0155 SE +/- 0.00039, N = 3 3.90923 3.42107 5.33578 3.89095 3.91816 5.34062 5.34707 3.97048 MIN: 3.68 MIN: 3.32 MIN: 5.3 MIN: 3.71 MIN: 3.63 MIN: 5.3 MIN: 5.3 MIN: 3.34 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.03190, N = 3 7.34668 5.21572 7.09515 7.08048 7.33174 7.06269 7.11121 5.22674 MIN: 7 MIN: 5.15 MIN: 7 MIN: 6.98 MIN: 6.99 MIN: 6.99 MIN: 7 MIN: 5.15 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.234 0.468 0.702 0.936 1.17 SE +/- 0.000920, N = 3 0.810815 0.626177 1.036130 0.794990 0.811090 1.039730 1.039960 0.625231 MIN: 0.74 MIN: 0.56 MIN: 1 MIN: 0.73 MIN: 0.74 MIN: 1 MIN: 1 MIN: 0.56 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.3062 0.6124 0.9186 1.2248 1.531 SE +/- 0.005136, N = 3 0.999360 0.881827 1.360780 0.989794 1.002700 1.353100 1.355480 0.880093 MIN: 0.89 MIN: 0.8 MIN: 1.3 MIN: 0.88 MIN: 0.89 MIN: 1.3 MIN: 1.29 MIN: 0.81 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 600 1200 1800 2400 3000 SE +/- 0.92, N = 3 2282.73 1678.88 2893.48 2225.66 2289.26 2896.00 2896.31 1683.03 MIN: 2256.18 MIN: 1673.29 MIN: 2889.6 MIN: 2213.52 MIN: 2263.84 MIN: 2885.46 MIN: 2889.01 MIN: 1677.55 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 1.23, N = 3 1152.24 855.91 1453.82 1113.96 1155.04 1450.82 1450.48 855.55 MIN: 1133.82 MIN: 851.85 MIN: 1450.65 MIN: 1102.31 MIN: 1129.24 MIN: 1438.48 MIN: 1445.4 MIN: 851.41 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 600 1200 1800 2400 3000 SE +/- 2.35, N = 3 2294.35 1675.22 2897.08 2231.81 2292.33 2897.05 2897.71 1675.60 MIN: 2263.65 MIN: 1671.1 MIN: 2893.38 MIN: 2215.43 MIN: 2268.98 MIN: 2882.96 MIN: 2889.51 MIN: 1671.36 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.7594 1.5188 2.2782 3.0376 3.797 SE +/- 0.01337, N = 3 3.37523 1.99078 3.26386 3.18229 3.36363 3.27254 3.26570 1.84748 MIN: 3.09 MIN: 1.8 MIN: 3.2 MIN: 3.09 MIN: 3.08 MIN: 3.2 MIN: 3.2 MIN: 1.79 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.03364, N = 3 7.41713 5.67760 9.59464 7.42742 7.41505 10.12880 9.60780 5.51763 MIN: 6.76 MIN: 4.97 MIN: 9.26 MIN: 6.85 MIN: 6.75 MIN: 9.53 MIN: 9.17 MIN: 4.88 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.7445 1.489 2.2335 2.978 3.7225 SE +/- 0.00750, N = 3 2.50232 2.26091 3.30342 2.46275 2.50718 3.30903 3.30514 2.16726 MIN: 2.34 MIN: 2.08 MIN: 3.14 MIN: 2.26 MIN: 2.33 MIN: 3.15 MIN: 3.14 MIN: 2.11 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 0.60, N = 3 1154.55 858.83 1444.74 1112.46 1155.40 1446.49 1452.69 855.54 MIN: 1130.74 MIN: 851.32 MIN: 1440.66 MIN: 1094.16 MIN: 1130.22 MIN: 1430.15 MIN: 1448.33 MIN: 851.94 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.3718 0.7436 1.1154 1.4872 1.859 SE +/- 0.001514, N = 3 1.534410 0.664113 1.641670 1.453490 1.556490 1.652570 1.635430 0.665636 MIN: 1.41 MIN: 0.62 MIN: 1.62 MIN: 1.41 MIN: 1.41 MIN: 1.62 MIN: 1.61 MIN: 0.59 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 600 1200 1800 2400 3000 SE +/- 2.85, N = 3 2285.98 1680.33 2892.90 2223.94 2272.72 2888.44 2895.71 1677.70 MIN: 2258.7 MIN: 1675.48 MIN: 2888.21 MIN: 2210.21 MIN: 2247.96 MIN: 2854.93 MIN: 2880.28 MIN: 1673.08 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 0.41, N = 3 1149.16 856.02 1450.63 1110.93 1156.11 1450.70 1452.40 854.95 MIN: 1126.63 MIN: 851.48 MIN: 1448.24 MIN: 1100.71 MIN: 1135.88 MIN: 1435.36 MIN: 1447.04 MIN: 851.04 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.0708 0.1416 0.2124 0.2832 0.354 SE +/- 0.001519, N = 3 0.250483 0.188795 0.314764 0.241004 0.251777 0.312250 0.313129 0.189451 MIN: 0.22 MIN: 0.17 MIN: 0.3 MIN: 0.22 MIN: 0.22 MIN: 0.29 MIN: 0.29 MIN: 0.17 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.1239 0.2478 0.3717 0.4956 0.6195 SE +/- 0.000941, N = 3 0.435514 0.313116 0.550724 0.415022 0.436859 0.550333 0.548822 0.312826 MIN: 0.39 MIN: 0.28 MIN: 0.53 MIN: 0.39 MIN: 0.38 MIN: 0.52 MIN: 0.52 MIN: 0.28 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2K 4K 6K 8K 10K SE +/- 23.08, N = 3 7489 7025 7679 7783 7765 7745 7683 7198 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2K 4K 6K 8K 10K SE +/- 114.75, N = 12 8431 9985 9204 9254 8444 8623 8932 9748 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 110 220 330 440 550 SE +/- 0.17, N = 3 448 495 378 442 445 382 381 498 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200 400 600 800 1000 SE +/- 40.22, N = 12 515 694 659 827 561 656 546 693 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 170 340 510 680 850 SE +/- 0.60, N = 3 667 772 555 676 668 550 552 767 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 73.47, N = 12 1239 1083 1000 1257 729 534 757 716 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.00, N = 3 95 107 79 94 94 79 80 106 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 6.47, N = 12 124 98 98 124 71 98 79 93 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 3.11, N = 3 1670 1919 1273 1640 1669 1318 1304 1936 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 92.79, N = 12 1588 1735 1107 2550 1580 1920 1252 2508 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1500 3000 4500 6000 7500 SE +/- 23.47, N = 3 5892 6715 4678 5747 5839 4674 4656 6791 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2K 4K 6K 8K 10K SE +/- 3.09, N = 3 5333 5676 3994 5282 8381 3985 3992 5796 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 8 16 24 32 40 31.41 26.69 35.47 31.23 31.59 35.29 35.45 26.94 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 60 120 180 240 300 254.50 176.83 274.56 251.62 254.33 274.56 273.74 176.07 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 5000M 10000M 15000M 20000M 25000M SE +/- 148039451.93, N = 3 17490744260 24118303190 13388156320 17538082780 17544870130 13335266100 13223838170 24055372380 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 900 1800 2700 3600 4500 SE +/- 0.25, N = 3 2958.4 4201.8 2265.5 2968.4 2954.2 2265.4 2265.1 4203.4 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 60K 120K 180K 240K 300K SE +/- 6.07, N = 3 194057.2 274898.7 147994.7 194261.5 193624.5 147943.7 148020.7 275022.1 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.01, N = 3 6.89 9.19 5.33 6.93 6.87 5.36 5.34 9.19 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 160 320 480 640 800 SE +/- 1.54, N = 3 578.82 651.18 746.15 576.13 581.34 746.14 746.94 651.71 MIN: 394.1 / MAX: 612.37 MIN: 573.67 / MAX: 673.86 MIN: 724.14 / MAX: 766.22 MIN: 505.33 / MAX: 597.67 MIN: 454.21 / MAX: 613.21 MIN: 723.99 / MAX: 764.64 MIN: 714.17 / MAX: 765.41 MIN: 621.09 / MAX: 672.91 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.1678 2.3356 3.5034 4.6712 5.839 SE +/- 0.02, N = 3 3.93 5.19 3.07 3.92 3.87 3.06 3.04 5.16 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 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 5.45, N = 3 1015.27 1153.46 1293.34 1016.68 1032.67 1303.00 1309.26 1159.38 MIN: 718.11 / MAX: 1124.23 MIN: 731.93 / MAX: 1335.35 MIN: 914.71 / MAX: 1411.42 MIN: 897.5 / MAX: 1118.4 MIN: 975.43 / MAX: 1129.72 MIN: 1221.08 / MAX: 1432.12 MIN: 749.1 / MAX: 1427.46 MIN: 1036.64 / MAX: 1295.05 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.1408 2.2816 3.4224 4.5632 5.704 SE +/- 0.01, N = 3 3.85 5.07 3.06 3.84 3.85 3.02 3.05 5.02 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 6.34, N = 3 1034.06 1179.60 1298.34 1039.00 1032.40 1315.78 1306.12 1190.80 MIN: 699.51 / MAX: 1128.89 MIN: 1028.22 / MAX: 1530.8 MIN: 960.85 / MAX: 1409.2 MIN: 913.61 / MAX: 1111.36 MIN: 820.72 / MAX: 1126.15 MIN: 728.56 / MAX: 1437.75 MIN: 773.95 / MAX: 1444.66 MIN: 1049.79 / MAX: 1286.08 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 150 300 450 600 750 SE +/- 0.75, N = 3 491.96 672.13 374.50 463.77 490.93 375.11 370.90 672.90 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 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.02, N = 3 8.12 8.92 10.67 8.62 8.14 10.66 10.78 8.91 MIN: 4.51 / MAX: 22.01 MIN: 4.89 / MAX: 19.33 MIN: 6.39 / MAX: 19.07 MIN: 4.21 / MAX: 29.5 MIN: 5.28 / MAX: 22.47 MIN: 5.63 / MAX: 25.42 MIN: 4.84 / MAX: 21.35 MIN: 5.72 / MAX: 19.34 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.01, N = 3 13.61 18.07 10.34 13.68 13.57 10.52 10.33 18.13 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 80 160 240 320 400 SE +/- 0.45, N = 3 293.37 331.39 386.47 292.09 294.43 379.73 386.64 330.58 MIN: 221.79 / MAX: 312 MIN: 290.18 / MAX: 342.26 MIN: 369.88 / MAX: 390.09 MIN: 151.29 / MAX: 340.73 MIN: 255.5 / MAX: 313.05 MIN: 333.61 / MAX: 390.72 MIN: 366.98 / MAX: 393.57 MIN: 304.74 / MAX: 342.3 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300 600 900 1200 1500 SE +/- 5.59, N = 3 878.78 1164.42 688.76 892.32 879.31 691.78 676.76 1163.45 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.3275 2.655 3.9825 5.31 6.6375 SE +/- 0.05, N = 3 4.55 5.15 5.80 4.48 4.54 5.78 5.90 5.15 MIN: 2.74 / MAX: 17.33 MIN: 3.14 / MAX: 13.79 MIN: 3.43 / MAX: 7.38 MIN: 2.84 / MAX: 12.69 MIN: 2.81 / MAX: 17.18 MIN: 3.69 / MAX: 20.19 MIN: 3.49 / MAX: 14.2 MIN: 3.05 / MAX: 67.86 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200 400 600 800 1000 SE +/- 3.29, N = 3 687.93 917.78 526.47 692.33 686.56 527.78 527.63 918.15 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.05, N = 3 5.81 6.53 7.59 5.77 5.82 7.57 7.57 6.53 MIN: 3.21 / MAX: 17.52 MIN: 3.39 / MAX: 14.56 MIN: 3.97 / MAX: 15.26 MIN: 3.07 / MAX: 13.01 MIN: 3.02 / MAX: 17.51 MIN: 3.93 / MAX: 20.27 MIN: 3.89 / MAX: 15.51 MIN: 3.38 / 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: Machine Translation EN To DE FP16 - Device: CPU 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.52, N = 3 80.70 98.78 60.24 73.65 79.76 62.24 60.22 97.49 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 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 15 30 45 60 75 SE +/- 0.56, N = 3 49.54 60.71 66.37 54.27 50.14 64.24 66.40 61.53 MIN: 31.93 / MAX: 62.29 MIN: 49.57 / MAX: 69.26 MIN: 56.61 / MAX: 70.47 MIN: 43.38 / MAX: 65.85 MIN: 39.21 / MAX: 63.67 MIN: 35.74 / MAX: 76.68 MIN: 52.54 / MAX: 72.87 MIN: 51.95 / MAX: 117.17 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 1.12, N = 3 1369.35 1830.42 1056.40 1368.95 1368.90 1058.54 1056.82 1832.77 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: Weld Porosity Detection FP16-INT8 - Device: CPU 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.01, N = 3 5.84 6.55 5.68 5.84 5.84 5.67 5.68 6.54 MIN: 3.2 / MAX: 17.68 MIN: 3.66 / MAX: 14.89 MIN: 3.04 / MAX: 13.81 MIN: 3.13 / MAX: 13.02 MIN: 3.11 / MAX: 18.54 MIN: 3.77 / MAX: 11.12 MIN: 3.14 / MAX: 13.67 MIN: 3.68 / MAX: 16.14 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 200 400 600 800 1000 SE +/- 3.37, N = 3 822.33 1102.44 699.47 839.03 834.42 695.35 705.10 1102.44 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.2938 2.5876 3.8814 5.1752 6.469 SE +/- 0.03, N = 3 4.86 5.44 5.71 4.76 4.79 5.75 5.67 5.44 MIN: 3.43 / MAX: 7.38 MIN: 3.77 / MAX: 13.94 MIN: 4.14 / MAX: 17.41 MIN: 3.73 / MAX: 12.41 MIN: 3.62 / MAX: 17.47 MIN: 4.12 / MAX: 15.9 MIN: 4.46 / MAX: 8.96 MIN: 3.81 / MAX: 14.78 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 6K 12K 18K 24K 30K SE +/- 16.00, N = 3 21050.50 27518.78 16444.44 20765.76 21184.20 16423.77 16510.73 27522.21 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.0968 0.1936 0.2904 0.3872 0.484 SE +/- 0.00, N = 3 0.38 0.43 0.36 0.38 0.37 0.36 0.36 0.43 MIN: 0.23 / MAX: 13 MIN: 0.26 / MAX: 9.51 MIN: 0.22 / MAX: 7.98 MIN: 0.24 / MAX: 2.35 MIN: 0.23 / MAX: 12.31 MIN: 0.22 / MAX: 12.84 MIN: 0.22 / MAX: 8.48 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4K 8K 12K 16K 20K SE +/- 0.99, N = 3 12534.52 16311.47 9510.35 12608.14 12469.44 9516.26 9490.50 16466.74 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.1643 0.3286 0.4929 0.6572 0.8215 SE +/- 0.00, N = 3 0.64 0.73 0.63 0.63 0.64 0.63 0.63 0.72 MIN: 0.36 / MAX: 12.27 MIN: 0.39 / MAX: 9.37 MIN: 0.39 / MAX: 1.84 MIN: 0.38 / MAX: 8.56 MIN: 0.37 / MAX: 13.2 MIN: 0.34 / MAX: 12.67 MIN: 0.34 / MAX: 8.02 MIN: 0.4 / MAX: 8.98 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 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 300K 600K 900K 1200K 1500K SE +/- 5632.48, N = 3 1233198 1227889 1149535 1184135 1218019 1154240 1143225 1186995
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.00, N = 3 13.20 10.06 16.69 13.08 13.17 16.72 16.71 10.07 1. (CXX) g++ options: -O3
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e13 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.48, N = 3 161.02 122.56 203.44 160.12 161.06 203.79 203.19 122.64 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 140 280 420 560 700 SE +/- 2.40, N = 3 601 592 613 598 606 615 626 602
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.00, N = 3 168 167 174 177 167 173 173 167
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 12 24 36 48 60 SE +/- 0.09, N = 3 53.2 53.1 55.4 53.0 53.2 55.1 55.2 53.3
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 13 26 39 52 65 SE +/- 0.12, N = 3 57.2 56.1 58.7 56.1 56.4 58.8 59.4 55.9
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 1.20, N = 3 79.6 77.4 81.9 77.5 79.4 79.9 83.5 78.4
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.00, N = 3 10.3 10.1 10.7 10.3 10.4 10.6 10.6 10.1
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 60 120 180 240 300 SE +/- 0.33, N = 3 248 246 257 247 246 256 259 247
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.03, N = 3 11.9 11.8 12.3 12.1 11.8 12.4 12.3 11.8
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 15 30 45 60 75 SE +/- 0.18, N = 3 62.3 60.6 63.0 60.2 60.6 66.1 63.6 60.4
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.00, N = 3 79.5 79.2 82.3 79.5 79.4 83.0 82.7 78.6
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.00, N = 3 4.60 4.46 4.75 7.24 4.61 4.76 4.75 4.45
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 6 12 18 24 30 SE +/- 0.00, N = 3 24.8 24.7 25.8 24.6 24.6 25.7 25.8 24.5
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 0.33, N = 3 225 223 232 221 225 231 232 223
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 900 1800 2700 3600 4500 SE +/- 40.10, N = 6 4131.8 4141.9 3927.2 4090.7 4098.8 3966.6 4180.6 3971.2 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 2.30, N = 3 166.07 126.28 214.15 165.87 167.47 213.01 215.76 127.05 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 15 30 45 60 75 SE +/- 0.87, N = 3 61.63 52.07 57.11 53.76 53.93 62.47 66.57 58.20 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.15, N = 3 84.65 59.73 86.47 83.79 84.99 87.10 81.95 59.02 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.04, N = 3 14.56 11.03 18.12 13.97 14.60 18.19 18.16 11.01 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.011, N = 3 12.127 8.430 11.979 11.578 12.114 12.069 11.961 8.298 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.3005 2.601 3.9015 5.202 6.5025 SE +/- 0.01, N = 3 5.78 5.78 5.55 5.78 5.77 5.56 5.56 5.76 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: TopTweet 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.02, N = 3 9.86 10.06 9.50 9.95 9.92 9.11 9.51 10.10 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: LargeRandom 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.4073 0.8146 1.2219 1.6292 2.0365 SE +/- 0.00, N = 3 1.79 1.79 1.72 1.79 1.79 1.73 1.72 1.81 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: PartialTweets 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 2 4 6 8 10 SE +/- 0.00, N = 3 8.16 8.24 7.90 8.17 8.21 7.91 7.89 8.27 1. (CXX) g++ options: -O3
OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: DistinctUserID 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.11, N = 3 9.85 9.72 9.40 9.83 9.77 9.46 9.34 9.96 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.1679 2.3358 3.5037 4.6716 5.8395 SE +/- 0.002271, N = 3 4.152834 5.169464 2.968364 4.181569 4.155565 2.969558 2.966052 5.190701 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.8258 1.6516 2.4774 3.3032 4.129 SE +/- 0.003762, N = 3 2.994469 3.670094 2.159707 3.000275 2.986516 2.159067 2.164760 3.665911 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.5425 1.085 1.6275 2.17 2.7125 SE +/- 0.004557, N = 3 1.974448 2.401755 1.432454 1.983660 1.975250 1.431009 1.426898 2.411040 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.2129 2.4258 3.6387 4.8516 6.0645 SE +/- 0.000394, N = 3 4.297127 5.361025 3.039188 4.328769 4.298268 3.030473 3.039627 5.390523 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.127 2.254 3.381 4.508 5.635 SE +/- 0.002307, N = 3 4.052640 5.008820 2.908029 4.079629 4.062221 2.901161 2.905988 4.994920 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.8709 1.7418 2.6127 3.4836 4.3545 SE +/- 0.001525, N = 3 3.103417 3.867351 2.231798 3.140910 3.114924 2.220251 2.227509 3.870727 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.5822 1.1644 1.7466 2.3288 2.911 SE +/- 0.001409, N = 3 2.073321 2.587619 1.490901 2.088438 2.078613 1.490200 1.488226 2.573904 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.1811 2.3622 3.5433 4.7244 5.9055 SE +/- 0.001126, N = 3 4.202963 5.201137 2.981309 4.228976 4.178461 2.977773 2.980782 5.249215 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 11M 22M 33M 44M 55M SE +/- 210730.41, N = 11 34904509 50796739 27167188 38273850 35499955 28121767 27957470 47480935 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.0053 2.0106 3.0159 4.0212 5.0265 SE +/- 0.003, N = 3 3.686 4.452 3.042 3.680 3.684 3.034 3.058 4.468 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 13 26 39 52 65 SE +/- 0.10, N = 3 45.47 56.29 37.18 45.91 45.54 37.24 37.28 56.40 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.28, N = 3 150.39 181.98 128.58 152.05 149.54 127.22 127.83 183.70 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.38, N = 3 162.38 189.15 136.85 162.39 161.95 136.43 136.23 190.96 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.02, N = 3 12.11 13.46 10.30 12.13 12.10 10.23 10.30 13.49 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.38, N = 3 129.24 158.66 106.01 129.95 129.25 105.84 106.89 158.21 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 150 300 450 600 750 SE +/- 2.69, N = 3 609.82 687.93 528.45 616.10 615.79 522.04 524.24 649.49 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 160 320 480 640 800 SE +/- 0.75, N = 3 668.09 739.51 580.00 677.96 670.53 579.19 578.51 728.99 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.8865 1.773 2.6595 3.546 4.4325 SE +/- 0.00, N = 3 2.96 3.94 2.31 2.98 2.96 2.30 2.30 3.94 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 16 32 48 64 80 SE +/- 0.03, N = 3 54.68 70.47 43.73 54.84 54.62 43.56 44.49 69.91 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 0.10, N = 3 110.11 134.92 89.96 110.60 109.97 89.26 89.65 134.80 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.00, N = 3 11.84 15.62 9.23 11.93 11.85 9.22 9.23 15.65 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 0.12, N = 3 172.81 217.47 137.14 174.52 172.71 137.30 137.00 218.50 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 100 200 300 400 500 SE +/- 1.08, N = 3 359.07 439.56 286.81 362.54 360.58 286.26 286.86 437.96 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.87, N = 3 71.99 90.79 63.00 72.63 72.25 63.84 65.55 93.60 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 70 140 210 280 350 SE +/- 2.29, N = 3 244.06 335.22 215.04 246.55 243.98 215.01 220.17 334.75 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.03, N = 3 78.29 99.80 68.55 80.15 77.30 68.23 69.18 100.14 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 80 160 240 320 400 SE +/- 0.15, N = 3 254.60 345.40 226.78 261.80 252.79 222.08 227.72 344.81 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.02, N = 3 64.38 85.60 53.26 64.52 64.46 53.35 53.52 84.90 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 60 120 180 240 300 SE +/- 0.32, N = 3 207.45 293.13 181.12 209.43 206.90 180.45 181.36 294.30 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 30 60 90 120 150 SE +/- 0.64, N = 3 115.75 86.30 150.66 115.54 115.82 152.68 151.72 87.44 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 192.36 183.09 201.95 190.87 192.75 202.76 201.93 183.17
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.14, N = 3 78.74 59.25 97.40 77.66 77.88 96.30 96.22 58.80
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 13.0 Build System: Unix Makefiles 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 130 260 390 520 650 SE +/- 1.68, N = 3 511.00 375.35 622.39 495.07 503.16 621.82 621.55 374.36
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 10 20 30 40 50 SE +/- 0.06, N = 3 38.21 28.88 45.97 37.68 38.25 46.05 45.92 29.01
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 12 24 36 48 60 SE +/- 0.45, N = 3 44.70 37.91 50.81 44.33 44.18 53.13 50.77 37.93 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 500 1000 1500 2000 2500 SE +/- 0.40, N = 3 2067.23 2105.73 2228.87 2066.07 2069.75 2237.08 2235.31 2112.15 MIN: 2021.19 / MAX: 2109.88 MIN: 2070.42 / MAX: 2146.74 MIN: 2216.04 / MAX: 2250 MIN: 2022.59 / MAX: 2107.46 MIN: 2024.37 / MAX: 2112.67 MIN: 2217.88 / MAX: 2258.4 MIN: 2217.92 / MAX: 2257.35 MIN: 2081.33 / MAX: 2147.82 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.23, N = 3 190.92 190.74 198.87 190.37 193.77 199.19 199.06 190.75 MIN: 190.03 / MAX: 193.11 MIN: 189.99 / MAX: 192.23 MIN: 198.22 / MAX: 199.53 MIN: 189.7 / MAX: 193.98 MIN: 192.93 / MAX: 195.31 MIN: 198.58 / MAX: 200.1 MIN: 198.12 / MAX: 200.3 MIN: 190.01 / MAX: 191.51 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 11 22 33 44 55 SE +/- 0.35, N = 15 42.33 41.52 43.92 42.33 42.06 43.92 47.65 42.37 MIN: 42.27 / MAX: 42.4 MIN: 41.17 / MAX: 42.01 MIN: 43.9 / MAX: 44 MIN: 42.3 / MAX: 42.43 MIN: 41.98 / MAX: 42.14 MIN: 43.87 / MAX: 44.14 MIN: 43.99 / MAX: 49.87 MIN: 42.26 / MAX: 42.44 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 40 80 120 160 200 SE +/- 0.02, N = 3 184.21 180.38 191.09 183.89 184.08 191.08 191.09 182.77 MIN: 184.13 / MAX: 184.34 MIN: 180.33 / MAX: 180.52 MIN: 191.02 / MAX: 191.19 MIN: 183.77 / MAX: 184.05 MIN: 183.99 / MAX: 184.18 MIN: 191 / MAX: 191.26 MIN: 190.97 / MAX: 191.36 MIN: 182.69 / MAX: 182.89 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3 6 9 12 15 SE +/- 0.02, N = 3 10.96 10.41 8.61 11.10 10.99 8.32 8.42 10.28 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 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 7 14 21 28 35 SE +/- 0.11, N = 3 30.16 24.36 22.36 29.01 29.19 21.31 21.96 23.99 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 6 12 18 24 30 SE +/- 0.06, N = 3 22.49 21.17 17.30 22.97 22.45 17.23 17.20 21.39 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 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 12 24 36 48 60 SE +/- 0.09, N = 3 54.49 46.88 52.04 54.43 53.38 52.03 52.68 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 6 12 18 24 30 SE +/- 0.03, N = 3 26.94 27.24 25.95 26.94 26.94 25.97 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.01, N = 3 16.74 16.81 16.12 16.79 16.78 16.12 16.13 17.03 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.4973 0.9946 1.4919 1.9892 2.4865 SE +/- 0.00, N = 3 2.21 2.19 2.08 2.18 2.17 2.05 2.09 2.21 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1.1925 2.385 3.5775 4.77 5.9625 SE +/- 0.00, N = 3 5.20 5.30 5.01 5.19 5.20 5.01 5.00 5.30 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 0.1935 0.387 0.5805 0.774 0.9675 SE +/- 0.00, N = 3 0.84 0.85 0.81 0.85 0.84 0.82 0.82 0.86 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 11 22 33 44 55 SE +/- 0.31, N = 6 37.10 47.13 30.00 37.39 37.27 30.21 31.89 47.08 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 50 100 150 200 250 SE +/- 1.62, N = 3 167.51 204.59 134.80 166.27 168.28 134.66 136.26 208.22 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 7 14 21 28 35 SE +/- 0.23, N = 3 16.42 28.04 17.19 17.68 17.97 17.77 17.90 27.97 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 20 40 60 80 100 SE +/- 0.55, N = 3 87.56 103.73 83.82 88.86 87.60 82.61 82.57 102.84 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 5 10 15 20 25 SE +/- 0.02, N = 3 19.59 15.07 20.99 19.44 19.56 20.94 20.96 15.08 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3K 6K 9K 12K 15K SE +/- 32.54, N = 3 7738.0 10059.7 7002.2 7780.8 7745.2 7171.7 7123.6 12360.5 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 3K 6K 9K 12K 15K SE +/- 6.89, N = 3 10240.7 14144.3 7962.2 10277.3 10175.6 7957.9 7963.9 14044.5 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 4 8 12 16 20 SE +/- 0.01, N = 3 12.72 10.87 15.08 12.68 12.77 15.04 15.05 10.85
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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1300 2600 3900 5200 6500 SE +/- 11.07, N = 3 5055.3 6230.7 4772.9 5126.4 5140.0 4863.4 4776.6 6289.1 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1200 2400 3600 4800 6000 SE +/- 86.19, N = 3 5715.1 5794.7 5547.8 5716.2 5702.7 5745.4 5596.1 5722.7 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 9.87, N = 3 1110.2 1985.8 1231.3 1119.3 1090.6 1180.2 1248.8 2025.3 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1300 2600 3900 5200 6500 SE +/- 7.12, N = 3 5956.5 6277.1 5826.3 6198.9 6188.3 6021.3 5834.2 6049.2 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 14 28 42 56 70 SE +/- 0.12, N = 3 52.6 64.2 42.8 52.5 52.4 43.1 43.6 63.8 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1200 2400 3600 4800 6000 SE +/- 7.45, N = 3 5364.1 5452.4 5072.4 5220.6 5185.2 5058.0 5074.2 5436.1 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 3.73, N = 3 2007.3 1825.4 1937.1 2012.9 2009.0 1936.9 1942.8 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1400 2800 4200 5600 7000 SE +/- 67.24, N = 3 6098.4 6167.2 5943.0 6118.5 6083.3 6167.6 6086.8 6423.9 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 400 800 1200 1600 2000 SE +/- 2.90, N = 3 1445.1 1637.9 1319.1 1454.3 1443.8 1320.8 1326.3 1636.7 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1400 2800 4200 5600 7000 SE +/- 3.15, N = 3 6311.6 6404.1 6188.2 6347.1 6336.6 6200.6 6208.3 6696.2 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 7700 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 12 24 36 48 60 SE +/- 0.03, N = 3 46.4 51.6 35.9 46.8 45.8 35.7 35.9 51.0 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 7900 AMD 7600 AMD 7700 Ryzen 7 7700 Ryzen 7600 Ryzen 7600 AMD Ryzen 9 7900 1200 2400 3600 4800 6000 SE +/- 54.15, N = 3 5379.0 5206.5 5239.2 5130.4 5186.4 5039.8 5133.0 5176.6 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.