AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2304195-NE-7950XRENE79 7950X renew - Phoronix Test Suite 7950X renew AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2304195-NE-7950XRENE79&sro&grw .
7950X renew Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution a b c d AMD Ryzen 9 7950X 16-Core AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) AMD Device 14d8 32GB 2048GB SOLIDIGM SSDPFKKW020X7 + 2000GB AMD Radeon RX 7900 XTX 24GB (2304/1249MHz) AMD Device ab30 ASUS MG28U Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 Ubuntu 22.04 6.3.0-060300rc7daily20230417-generic (x86_64) GNOME Shell 42.5 X Server 1.21.1.3 + Wayland 4.6 Mesa 23.2.0-devel (git-f6fb189 2023-04-18 jammy-oibaf-ppa) (LLVM 15.0.7 DRM 3.52) 1.3.246 GCC 11.3.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa601203 Python Details - Python 3.10.9 Security Details - 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 Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
7950X renew stress-ng: Hash stress-ng: MMAP stress-ng: NUMA stress-ng: Poll stress-ng: Zlib stress-ng: Futex stress-ng: MEMFD stress-ng: Mutex stress-ng: Atomic stress-ng: Crypto stress-ng: Malloc stress-ng: Forking stress-ng: Pthread stress-ng: IO_uring stress-ng: SENDFILE stress-ng: CPU Cache stress-ng: CPU Stress stress-ng: Semaphores stress-ng: Matrix Math stress-ng: Vector Math stress-ng: Function Call stress-ng: Memory Copying stress-ng: Socket Activity stress-ng: Context Switching stress-ng: Glibc C String Functions stress-ng: Glibc Qsort Data Sorting stress-ng: System V Message Passing geekbench: GPU Vulkan geekbench: CPU Multi Core geekbench: CPU Single Core tensorflow: CPU - 512 - AlexNet tensorflow: CPU - 512 - GoogLeNet onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster apache: 100 apache: 200 apache: 500 apache: 1000 geekbench: CPU Multi Core geekbench: CPU Multi Core geekbench: CPU Single Core geekbench: CPU Single Core a b c d AMD Ryzen 9 7950X 16-Core 5201895.15 365.99 575.17 2501519.28 2887.91 4270430.52 588.77 14202808.38 208.00 58291.76 35723656.66 69342.34 155239.72 34082.38 529500.74 2835053.21 57085.19 48389089.02 130460.35 166594.71 177646.94 9225.57 8255.14 9783961.17 25365064.17 608.72 26415378.48 214292 19503 2962 454.11 140.39 1.84546 3.47105 0.411950 0.383859 0.678338 1.58068 5.98725 2.82353 2.41210 5.57213 0.437914 0.602199 1201.71 616.793 1217.48 1.83475 3.52921 1.44148 611.728 1205.09 613.177 49.49 128.28 63.08 458.68 158.44 8.316 16.000 23.928 45.556 157807.96 184572.44 176991.38 180072.65 18677 21136 2981 2928 5200318.65 364.79 582.46 2491260.68 2591.7 4222171.76 590.28 14255944.22 208.08 58472.79 35811929.24 71311.64 155776.14 34131.87 529146.6 2891566.02 56755.22 48490899.61 131067.06 165229.98 178298.56 9248.95 14871.33 9865223.17 25615495.76 608.1 26219354.02 216890 19583 2961 454.8 140.72 1.8299 3.45155 0.443063 0.366972 0.689951 1.56564 5.89107 2.79148 2.39037 5.42536 0.435415 0.605423 1192.52 611.943 1199.84 1.85261 3.56412 1.439 612.062 1200.05 605.298 49.3 127.62 62.96 459.42 157.81 8.31 15.953 23.793 45.648 171211.19 207579.58 213102.55 209182.48 18684 21370 2977 2931 5207164.6 364.79 575.07 2486481.83 2046.18 4206049 588.15 14266793.16 207.93 58342.47 35777384.38 71317.53 156716.58 34037.5 528823.55 2737070.04 57427.87 51126810.54 131114.52 165320.72 178260.6 9251.38 14868.05 9858746.5 25192374.09 607.8 26210936.7 221955 19634 3000 454.17 140.77 1.82977 3.4814 1.0204 0.379694 0.662407 1.60156 5.90825 2.81211 2.40242 5.47229 0.437243 0.602236 1198.13 613.124 1297.36 1.82932 3.55434 1.45925 605.822 1198.23 614.124 49.25 127.8 62.85 456.88 158.37 8.285 15.902 23.459 45.42 173941.74 206047.13 210704.32 205238.76 18769 21349 3023 2959 5206627.41 365.06 571.89 2489228.18 2809.47 3998509.51 587.67 14059215.04 207.97 58300.31 40544942.64 71324.85 155540.79 34039.95 530098.02 2846589.76 56828.78 48925720.2 131064.73 165237.39 178326.71 9247.95 14149.29 9838566.68 25606702.18 607.8 26252202.84 215690 19462 2977 453.95 140.55 1.83089 3.45696 0.459812 0.338976 0.702848 1.61092 5.89706 2.76699 2.40667 5.4285 0.433691 0.597744 1195.72 613.385 1201.47 1.82793 3.55435 1.4363 608.99 1198.4 610.793 49.43 128.12 63.11 459.04 158.48 8.293 15.998 23.607 45.038 173568.41 203897.99 213508.14 205391.89 18544 21288 2991 2951 5203579.25 367.1 582.69 2490313.73 2866.94 4575968.32 589.33 14084407.53 208.4 58683.75 35814598.66 70807.66 153911.16 33974.56 529698.29 2796071.25 56601.01 52678498.91 131015.89 165245.53 178410.7 9251.48 17929.73 9748063.94 25653585.03 607.57 26311563.89 213891 19615 3029 454.67 140.7 1.81601 3.42765 0.494678 0.391682 0.666963 1.55975 5.90434 2.80647 2.40504 5.48114 0.43545 0.613993 1247.3 614.579 1198.62 1.83285 3.57278 1.44307 611.398 1201.42 616.855 49.17 127.68 63.06 460.35 158.03 8.333 15.923 23.577 45.345 170985.9 209524.23 213864.16 208968.38 18782 21261 3044 3002 OpenBenchmarking.org
Stress-NG Test: Hash OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Hash AMD Ryzen 9 7950X 16-Core a b c d 1.1M 2.2M 3.3M 4.4M 5.5M SE +/- 3392.22, N = 3 5203579.25 5201895.15 5200318.65 5207164.60 5206627.41 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: MMAP OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: MMAP AMD Ryzen 9 7950X 16-Core a b c d 80 160 240 320 400 SE +/- 0.46, N = 3 367.10 365.99 364.79 364.79 365.06 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: NUMA OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: NUMA AMD Ryzen 9 7950X 16-Core a b c d 130 260 390 520 650 SE +/- 2.29, N = 3 582.69 575.17 582.46 575.07 571.89 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Poll OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Poll AMD Ryzen 9 7950X 16-Core a b c d 500K 1000K 1500K 2000K 2500K SE +/- 3579.92, N = 3 2490313.73 2501519.28 2491260.68 2486481.83 2489228.18 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Zlib OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Zlib AMD Ryzen 9 7950X 16-Core a b c d 600 1200 1800 2400 3000 SE +/- 14.75, N = 3 2866.94 2887.91 2591.70 2046.18 2809.47 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Futex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Futex AMD Ryzen 9 7950X 16-Core a b c d 1000K 2000K 3000K 4000K 5000K SE +/- 43876.86, N = 3 4575968.32 4270430.52 4222171.76 4206049.00 3998509.51 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: MEMFD OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: MEMFD AMD Ryzen 9 7950X 16-Core a b c d 130 260 390 520 650 SE +/- 0.93, N = 3 589.33 588.77 590.28 588.15 587.67 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Mutex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Mutex AMD Ryzen 9 7950X 16-Core a b c d 3M 6M 9M 12M 15M SE +/- 28497.71, N = 3 14084407.53 14202808.38 14255944.22 14266793.16 14059215.04 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Atomic OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Atomic AMD Ryzen 9 7950X 16-Core a b c d 50 100 150 200 250 SE +/- 0.07, N = 3 208.40 208.00 208.08 207.93 207.97 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Crypto OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Crypto AMD Ryzen 9 7950X 16-Core a b c d 13K 26K 39K 52K 65K SE +/- 43.13, N = 3 58683.75 58291.76 58472.79 58342.47 58300.31 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Malloc OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Malloc AMD Ryzen 9 7950X 16-Core a b c d 9M 18M 27M 36M 45M SE +/- 8336.85, N = 3 35814598.66 35723656.66 35811929.24 35777384.38 40544942.64 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Forking OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Forking AMD Ryzen 9 7950X 16-Core a b c d 15K 30K 45K 60K 75K SE +/- 533.00, N = 3 70807.66 69342.34 71311.64 71317.53 71324.85 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Pthread OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Pthread AMD Ryzen 9 7950X 16-Core a b c d 30K 60K 90K 120K 150K SE +/- 183.24, N = 3 153911.16 155239.72 155776.14 156716.58 155540.79 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: IO_uring OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: IO_uring AMD Ryzen 9 7950X 16-Core a b c d 7K 14K 21K 28K 35K SE +/- 25.29, N = 3 33974.56 34082.38 34131.87 34037.50 34039.95 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: SENDFILE OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: SENDFILE AMD Ryzen 9 7950X 16-Core a b c d 110K 220K 330K 440K 550K SE +/- 306.05, N = 3 529698.29 529500.74 529146.60 528823.55 530098.02 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: CPU Cache OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: CPU Cache AMD Ryzen 9 7950X 16-Core a b c d 600K 1200K 1800K 2400K 3000K SE +/- 7532.15, N = 3 2796071.25 2835053.21 2891566.02 2737070.04 2846589.76 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: CPU Stress OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: CPU Stress AMD Ryzen 9 7950X 16-Core a b c d 12K 24K 36K 48K 60K SE +/- 319.95, N = 15 56601.01 57085.19 56755.22 57427.87 56828.78 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Semaphores OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Semaphores AMD Ryzen 9 7950X 16-Core a b c d 11M 22M 33M 44M 55M SE +/- 604970.42, N = 15 52678498.91 48389089.02 48490899.61 51126810.54 48925720.20 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Matrix Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Matrix Math AMD Ryzen 9 7950X 16-Core a b c d 30K 60K 90K 120K 150K SE +/- 140.97, N = 3 131015.89 130460.35 131067.06 131114.52 131064.73 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Vector Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Vector Math AMD Ryzen 9 7950X 16-Core a b c d 40K 80K 120K 160K 200K SE +/- 1916.70, N = 4 165245.53 166594.71 165229.98 165320.72 165237.39 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Function Call OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Function Call AMD Ryzen 9 7950X 16-Core a b c d 40K 80K 120K 160K 200K SE +/- 78.65, N = 3 178410.70 177646.94 178298.56 178260.60 178326.71 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Memory Copying OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Memory Copying AMD Ryzen 9 7950X 16-Core a b c d 2K 4K 6K 8K 10K SE +/- 0.71, N = 3 9251.48 9225.57 9248.95 9251.38 9247.95 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Socket Activity OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Socket Activity AMD Ryzen 9 7950X 16-Core a b c d 4K 8K 12K 16K 20K SE +/- 1621.88, N = 12 17929.73 8255.14 14871.33 14868.05 14149.29 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Context Switching OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Context Switching AMD Ryzen 9 7950X 16-Core a b c d 2M 4M 6M 8M 10M SE +/- 29549.03, N = 3 9748063.94 9783961.17 9865223.17 9858746.50 9838566.68 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Glibc C String Functions OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Glibc C String Functions AMD Ryzen 9 7950X 16-Core a b c d 5M 10M 15M 20M 25M SE +/- 86800.47, N = 3 25653585.03 25365064.17 25615495.76 25192374.09 25606702.18 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: Glibc Qsort Data Sorting OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: Glibc Qsort Data Sorting AMD Ryzen 9 7950X 16-Core a b c d 130 260 390 520 650 SE +/- 1.74, N = 3 607.57 608.72 608.10 607.80 607.80 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Stress-NG Test: System V Message Passing OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.07 Test: System V Message Passing AMD Ryzen 9 7950X 16-Core a b c d 6M 12M 18M 24M 30M SE +/- 26571.09, N = 3 26311563.89 26415378.48 26219354.02 26210936.70 26252202.84 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -lrt -lsctp -lz -pthread
Geekbench Test: GPU Vulkan OpenBenchmarking.org Score, More Is Better Geekbench 6 Test: GPU Vulkan AMD Ryzen 9 7950X 16-Core a b c d 50K 100K 150K 200K 250K SE +/- 2169.92, N = 3 213891 214292 216890 221955 215690
Geekbench Test: CPU Multi Core OpenBenchmarking.org Score, More Is Better Geekbench 6 Test: CPU Multi Core AMD Ryzen 9 7950X 16-Core a b c d 4K 8K 12K 16K 20K SE +/- 21.06, N = 3 19615 19503 19583 19634 19462
Geekbench Test: CPU Single Core OpenBenchmarking.org Score, More Is Better Geekbench 6 Test: CPU Single Core AMD Ryzen 9 7950X 16-Core a b c d 600 1200 1800 2400 3000 SE +/- 8.74, N = 3 3029 2962 2961 3000 2977
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet AMD Ryzen 9 7950X 16-Core a b c d 100 200 300 400 500 SE +/- 0.09, N = 3 454.67 454.11 454.80 454.17 453.95
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet AMD Ryzen 9 7950X 16-Core a b c d 30 60 90 120 150 SE +/- 0.02, N = 3 140.70 140.39 140.72 140.77 140.55
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.4152 0.8304 1.2456 1.6608 2.076 SE +/- 0.00504, N = 3 1.81601 1.84546 1.82990 1.82977 1.83089 MIN: 1.53 MIN: 1.54 MIN: 1.56 MIN: 1.52 MIN: 1.55 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.7833 1.5666 2.3499 3.1332 3.9165 SE +/- 0.00696, N = 3 3.42765 3.47105 3.45155 3.48140 3.45696 MIN: 3.17 MIN: 3.19 MIN: 3.19 MIN: 3.21 MIN: 3.19 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.2296 0.4592 0.6888 0.9184 1.148 SE +/- 0.005298, N = 3 0.494678 0.411950 0.443063 1.020400 0.459812 MIN: 0.38 MIN: 0.35 MIN: 0.36 MIN: 0.35 MIN: 0.36 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.0881 0.1762 0.2643 0.3524 0.4405 SE +/- 0.004634, N = 15 0.391682 0.383859 0.366972 0.379694 0.338976 MIN: 0.31 MIN: 0.3 MIN: 0.31 MIN: 0.31 MIN: 0.29 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.1581 0.3162 0.4743 0.6324 0.7905 SE +/- 0.004031, N = 3 0.666963 0.678338 0.689951 0.662407 0.702848 MIN: 0.59 MIN: 0.59 MIN: 0.6 MIN: 0.59 MIN: 0.6 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.3625 0.725 1.0875 1.45 1.8125 SE +/- 0.00687, N = 3 1.55975 1.58068 1.56564 1.60156 1.61092 MIN: 1.42 MIN: 1.42 MIN: 1.41 MIN: 1.42 MIN: 1.46 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 1.3471 2.6942 4.0413 5.3884 6.7355 SE +/- 0.00506, N = 3 5.90434 5.98725 5.89107 5.90825 5.89706 MIN: 5.5 MIN: 5.51 MIN: 5.51 MIN: 5.51 MIN: 5.51 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.6353 1.2706 1.9059 2.5412 3.1765 SE +/- 0.02433, N = 3 2.80647 2.82353 2.79148 2.81211 2.76699 MIN: 2.45 MIN: 2.44 MIN: 2.45 MIN: 2.47 MIN: 2.45 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.5427 1.0854 1.6281 2.1708 2.7135 SE +/- 0.01118, N = 3 2.40504 2.41210 2.39037 2.40242 2.40667 MIN: 2.29 MIN: 2.29 MIN: 2.29 MIN: 2.28 MIN: 2.28 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 1.2537 2.5074 3.7611 5.0148 6.2685 SE +/- 0.03135, N = 3 5.48114 5.57213 5.42536 5.47229 5.42850 MIN: 5.12 MIN: 5.11 MIN: 5.1 MIN: 5.13 MIN: 5.12 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.0985 0.197 0.2955 0.394 0.4925 SE +/- 0.002439, N = 3 0.435450 0.437914 0.435415 0.437243 0.433691 MIN: 0.4 MIN: 0.4 MIN: 0.4 MIN: 0.4 MIN: 0.4 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.1381 0.2762 0.4143 0.5524 0.6905 SE +/- 0.002831, N = 3 0.613993 0.602199 0.605423 0.602236 0.597744 MIN: 0.57 MIN: 0.56 MIN: 0.56 MIN: 0.56 MIN: 0.56 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 300 600 900 1200 1500 SE +/- 1.86, N = 3 1247.30 1201.71 1192.52 1198.13 1195.72 MIN: 1164.68 MIN: 1166.52 MIN: 1164.17 MIN: 1167.18 MIN: 1167.75 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 130 260 390 520 650 SE +/- 0.76, N = 3 614.58 616.79 611.94 613.12 613.39 MIN: 590.65 MIN: 592.78 MIN: 588.61 MIN: 590.05 MIN: 590.06 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 300 600 900 1200 1500 SE +/- 16.16, N = 3 1198.62 1217.48 1199.84 1297.36 1201.47 MIN: 1167.7 MIN: 1167.28 MIN: 1171.26 MIN: 1174.07 MIN: 1167.73 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.4168 0.8336 1.2504 1.6672 2.084 SE +/- 0.00599, N = 3 1.83285 1.83475 1.85261 1.82932 1.82793 MIN: 1.64 MIN: 1.64 MIN: 1.66 MIN: 1.64 MIN: 1.64 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.8039 1.6078 2.4117 3.2156 4.0195 SE +/- 0.01817, N = 3 3.57278 3.52921 3.56412 3.55434 3.55435 MIN: 3.25 MIN: 3.26 MIN: 3.25 MIN: 3.26 MIN: 3.25 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 0.3283 0.6566 0.9849 1.3132 1.6415 SE +/- 0.00558, N = 3 1.44307 1.44148 1.43900 1.45925 1.43630 MIN: 1.35 MIN: 1.33 MIN: 1.35 MIN: 1.36 MIN: 1.34 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 130 260 390 520 650 SE +/- 1.26, N = 3 611.40 611.73 612.06 605.82 608.99 MIN: 589.13 MIN: 583.97 MIN: 590.23 MIN: 584 MIN: 587.61 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 300 600 900 1200 1500 SE +/- 1.10, N = 3 1201.42 1205.09 1200.05 1198.23 1198.40 MIN: 1173.37 MIN: 1171.62 MIN: 1168.55 MIN: 1170.19 MIN: 1165.25 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU AMD Ryzen 9 7950X 16-Core a b c d 130 260 390 520 650 SE +/- 2.68, N = 3 616.86 613.18 605.30 614.12 610.79 MIN: 591.78 MIN: 583.88 MIN: 583.12 MIN: 589.63 MIN: 587.37 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: BMW27 - Compute: CPU-Only AMD Ryzen 9 7950X 16-Core a b c d 11 22 33 44 55 SE +/- 0.06, N = 3 49.17 49.49 49.30 49.25 49.43
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Classroom - Compute: CPU-Only AMD Ryzen 9 7950X 16-Core a b c d 30 60 90 120 150 SE +/- 0.09, N = 3 127.68 128.28 127.62 127.80 128.12
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Fishy Cat - Compute: CPU-Only AMD Ryzen 9 7950X 16-Core a b c d 14 28 42 56 70 SE +/- 0.08, N = 3 63.06 63.08 62.96 62.85 63.11
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Barbershop - Compute: CPU-Only AMD Ryzen 9 7950X 16-Core a b c d 100 200 300 400 500 SE +/- 0.94, N = 3 460.35 458.68 459.42 456.88 459.04
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only AMD Ryzen 9 7950X 16-Core a b c d 40 80 120 160 200 SE +/- 0.06, N = 3 158.03 158.44 157.81 158.37 158.48
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 4K - Video Preset: Fast AMD Ryzen 9 7950X 16-Core a b c d 2 4 6 8 10 SE +/- 0.015, N = 3 8.333 8.316 8.310 8.285 8.293 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 4K - Video Preset: Faster AMD Ryzen 9 7950X 16-Core a b c d 4 8 12 16 20 SE +/- 0.04, N = 3 15.92 16.00 15.95 15.90 16.00 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 1080p - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 1080p - Video Preset: Fast AMD Ryzen 9 7950X 16-Core a b c d 6 12 18 24 30 SE +/- 0.07, N = 3 23.58 23.93 23.79 23.46 23.61 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 1080p - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 1080p - Video Preset: Faster AMD Ryzen 9 7950X 16-Core a b c d 10 20 30 40 50 SE +/- 0.05, N = 3 45.35 45.56 45.65 45.42 45.04 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
Apache HTTP Server Concurrent Requests: 100 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 100 AMD Ryzen 9 7950X 16-Core a b c d 40K 80K 120K 160K 200K SE +/- 677.68, N = 3 170985.90 157807.96 171211.19 173941.74 173568.41 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Apache HTTP Server Concurrent Requests: 200 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 200 AMD Ryzen 9 7950X 16-Core a b c d 40K 80K 120K 160K 200K SE +/- 574.65, N = 3 209524.23 184572.44 207579.58 206047.13 203897.99 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Apache HTTP Server Concurrent Requests: 500 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 500 AMD Ryzen 9 7950X 16-Core a b c d 50K 100K 150K 200K 250K SE +/- 2103.44, N = 4 213864.16 176991.38 213102.55 210704.32 213508.14 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 AMD Ryzen 9 7950X 16-Core a b c d 40K 80K 120K 160K 200K SE +/- 1229.46, N = 15 208968.38 180072.65 209182.48 205238.76 205391.89 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Geekbench Test: CPU Multi Core OpenBenchmarking.org Integer Score, More Is Better Geekbench 6 Test: CPU Multi Core AMD Ryzen 9 7950X 16-Core a b c d 4K 8K 12K 16K 20K SE +/- 37.22, N = 3 18782 18677 18684 18769 18544
Geekbench Test: CPU Multi Core OpenBenchmarking.org Floating Point Score, More Is Better Geekbench 6 Test: CPU Multi Core AMD Ryzen 9 7950X 16-Core a b c d 5K 10K 15K 20K 25K SE +/- 14.01, N = 3 21261 21136 21370 21349 21288
Geekbench Test: CPU Single Core OpenBenchmarking.org Integer Score, More Is Better Geekbench 6 Test: CPU Single Core AMD Ryzen 9 7950X 16-Core a b c d 700 1400 2100 2800 3500 SE +/- 5.93, N = 3 3044 2981 2977 3023 2991
Geekbench Test: CPU Single Core OpenBenchmarking.org Floating Point Score, More Is Better Geekbench 6 Test: CPU Single Core AMD Ryzen 9 7950X 16-Core a b c d 600 1200 1800 2400 3000 SE +/- 14.00, N = 3 3002 2928 2931 2959 2951
Phoronix Test Suite v10.8.4