AMD Ryzen 9 7950X3D Linux review benchmarks for a future article on Phoronix.
Core i9 13900K Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70
OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, 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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e - Thermald 2.5.2Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 7 5800X3D Processor: AMD Ryzen 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads)Motherboard: ASUS ROG CROSSHAIR VIII HERO (4402 BIOS)Chipset: AMD Starship/MatisseMemory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30Monitor: ASUS MG28UNetwork: Realtek RTL8125 2.5GbE + Intel I211
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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120aJava Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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
Ryzen 9 5950X Changed Processor to AMD Ryzen 9 5950X 16-Core @ 5.08GHz (16 Cores / 32 Threads) .
Processor Change: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025
Ryzen 9 7950X Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)Chipset: AMD Device 14d8Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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
Ryzen 9 7950X3D Changed Processor to AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads) .
CPU Power Consumption Monitor OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 60 120 180 240 300 Min: 9.55 / Avg: 80.83 / Max: 143.74 Min: 9.26 / Avg: 134.06 / Max: 235.78 Min: 2.06 / Avg: 111.33 / Max: 151.5 Min: 7.99 / Avg: 93.16 / Max: 145.39 Min: 5.12 / Avg: 135.05 / Max: 326.64
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.14.06 Test: CPU Stress Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 130 260 390 520 650 592.82 356.86 384.66 247.69 299.22
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.14.06 Test: Matrix Math Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 200 400 600 800 1000 982.56 637.09 639.30 413.46 543.94
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.14.06 Test: IO_uring Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 150 300 450 600 750 570.21 474.96 619.70 699.51 530.03
srsRAN srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 140 280 420 560 700 SE +/- 2.62, N = 5 SE +/- 0.79, N = 5 SE +/- 3.43, N = 4 SE +/- 0.90, N = 4 SE +/- 4.06, N = 5 635.9 614.4 511.8 470.7 618.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 150 300 450 600 750 SE +/- 1.94, N = 4 SE +/- 1.07, N = 4 SE +/- 4.41, N = 4 SE +/- 0.45, N = 4 SE +/- 2.11, N = 4 609.5 660.4 555.7 515.4 692.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 140 280 420 560 700 SE +/- 5.08, N = 3 SE +/- 0.98, N = 3 SE +/- 0.68, N = 3 SE +/- 0.65, N = 3 SE +/- 1.28, N = 3 552.5 618.3 502.7 472.2 636.6 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 150 300 450 600 750 SE +/- 6.39, N = 3 SE +/- 4.08, N = 3 SE +/- 3.98, N = 3 SE +/- 0.82, N = 3 SE +/- 1.52, N = 3 608.1 671.9 549.7 516.7 703.9 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 50 100 150 200 250 SE +/- 0.67, N = 5 SE +/- 1.62, N = 5 SE +/- 0.32, N = 4 SE +/- 0.54, N = 3 SE +/- 1.04, N = 4 191.0 210.1 163.6 154.1 228.2 -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512f -mavx512cd -mavx512bw -mavx512dq 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
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.
dav1d OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 1.1 Video Input: Chimera 1080p Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D 4 8 12 16 20 14.229 8.940 6.185 8.709
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 13.52 14.48 4.03 2.83 5.61 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
Natron OpenBenchmarking.org FPS Per Watt, More Is Better Natron 2.4.3 Input: Spaceship Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0162 0.0324 0.0486 0.0648 0.081 0.072 0.047 0.029 0.035 0.042
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-INT8 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 26.07 28.31 9.77 5.83 18.32 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 10K 20K 30K 40K 50K SE +/- 13.50, N = 3 SE +/- 45.80, N = 3 SE +/- 45.29, N = 3 SE +/- 5.84, N = 3 SE +/- 131.87, N = 3 40665.29 45170.18 13284.36 8671.53 17587.93 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 6K 12K 18K 24K 30K SE +/- 27.74, N = 3 SE +/- 15.17, N = 3 SE +/- 30.52, N = 3 SE +/- 1.71, N = 3 SE +/- 63.18, N = 3 23609.26 26151.55 14354.78 9344.30 19215.54 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.38 7.62 2.51 1.77 3.51 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.28 7.59 2.46 1.74 3.49 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 600 1200 1800 2400 3000 SE +/- 0.54, N = 3 SE +/- 1.83, N = 3 SE +/- 0.94, N = 3 SE +/- 0.74, N = 3 SE +/- 2.15, N = 3 2615.51 2897.96 960.20 566.78 1865.09 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 300 600 900 1200 1500 SE +/- 0.77, N = 3 SE +/- 1.33, N = 3 SE +/- 0.38, N = 3 SE +/- 0.33, N = 3 SE +/- 1.73, N = 3 1335.75 1447.08 438.32 276.53 562.23 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 400 800 1200 1600 2000 SE +/- 4.69, N = 3 SE +/- 1.27, N = 3 SE +/- 1.01, N = 3 SE +/- 0.68, N = 3 SE +/- 1.06, N = 3 1708.21 1860.49 685.28 413.79 955.91 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
dav1d OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 1.1 Video Input: Summer Nature 4K Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D 1.2209 2.4418 3.6627 4.8836 6.1045 5.426 3.214 1.745 2.621
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 1.1 Video Input: Summer Nature 1080p Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D 7 14 21 28 35 28.03 19.24 12.13 15.59
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 1.1 Video Input: Chimera 1080p 10-bit Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D 3 6 9 12 15 13.018 7.686 4.479 7.751
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: Vehicle Detection FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 200 400 600 800 1000 SE +/- 3.80, N = 3 SE +/- 3.73, N = 3 SE +/- 0.85, N = 3 SE +/- 0.33, N = 3 SE +/- 0.74, N = 3 1007.38 774.49 240.30 272.75 340.07 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 400 800 1200 1600 2000 SE +/- 1.67, N = 3 SE +/- 1.71, N = 3 SE +/- 3.90, N = 3 SE +/- 0.73, N = 3 SE +/- 4.56, N = 3 1663.96 1705.71 600.77 446.96 689.37 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 30 60 90 120 150 SE +/- 0.28, N = 3 SE +/- 0.87, N = 3 SE +/- 0.33, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 134.94 137.43 37.38 28.87 61.20 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -pie -ldl 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
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.
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.
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
x265 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 1080p Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.4547 0.9094 1.3641 1.8188 2.2735 2.021 1.325 0.889 0.928 0.958
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0959 0.1918 0.2877 0.3836 0.4795 0.426 0.254 0.216 0.170 0.206
Embree OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0716 0.1432 0.2148 0.2864 0.358 0.318 0.202 0.192 0.156 0.179
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.0 Binary: Pathtracer - Model: Crown Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0617 0.1234 0.1851 0.2468 0.3085 0.274 0.173 0.186 0.123 0.151
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
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 Per Watt, More Is Better simdjson 2.0 Throughput Test: LargeRandom Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0092 0.0184 0.0276 0.0368 0.046 0.033 0.032 0.025 0.030 0.041
High Performance Conjugate Gradient HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
Xmrig OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.18.1 Variant: Monero - Hash Count: 1M Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 30 60 90 120 150 138.30 72.69 53.79 60.85 42.18
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 Model Zoo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.8199 1.6398 2.4597 3.2796 4.0995 SE +/- 0.00385, N = 3 SE +/- 0.00601, N = 3 SE +/- 0.08488, N = 15 SE +/- 0.03603, N = 12 SE +/- 0.00365, N = 3 3.61193 3.64400 1.84790 1.68037 2.98374 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 130 260 390 520 650 SE +/- 0.29, N = 3 SE +/- 0.45, N = 3 SE +/- 27.51, N = 15 SE +/- 14.25, N = 12 SE +/- 0.41, N = 3 276.86 274.42 558.84 598.45 335.15 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 50 100 150 200 250 SE +/- 0.27, N = 3 SE +/- 5.71, N = 15 SE +/- 0.50, N = 3 SE +/- 4.42, N = 15 SE +/- 0.02, N = 3 212.22 219.43 104.47 99.76 93.26 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 SE +/- 0.00590, N = 3 SE +/- 0.14482, N = 15 SE +/- 0.04597, N = 3 SE +/- 0.53809, N = 15 SE +/- 0.00201, N = 3 4.71179 4.60971 9.57196 10.35438 10.72250 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.60, N = 12 SE +/- 0.38, N = 15 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 20.29 17.97 15.84 16.65 20.73 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 14 28 42 56 70 SE +/- 0.10, N = 3 SE +/- 1.83, N = 12 SE +/- 1.70, N = 15 SE +/- 0.34, N = 3 SE +/- 0.37, N = 3 49.29 56.31 63.69 60.06 48.25 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 40 80 120 160 200 SE +/- 0.22, N = 3 SE +/- 0.64, N = 3 SE +/- 1.68, N = 15 SE +/- 1.55, N = 15 SE +/- 0.10, N = 3 190.03 161.90 122.53 139.34 180.19 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 2 4 6 8 10 SE +/- 0.00600, N = 3 SE +/- 0.02430, N = 3 SE +/- 0.11476, N = 15 SE +/- 0.08499, N = 15 SE +/- 0.00305, N = 3 5.26041 6.17464 8.18075 7.18723 5.54691 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 10 20 30 40 50 SE +/- 0.32106, N = 3 SE +/- 1.24791, N = 15 SE +/- 0.85477, N = 15 SE +/- 0.02848, N = 3 SE +/- 0.00412, N = 3 45.83420 39.75950 28.42070 32.05800 9.30016 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 20 40 60 80 100 SE +/- 0.15, N = 3 SE +/- 0.72, N = 15 SE +/- 1.04, N = 15 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 21.82 25.47 35.62 31.19 107.52 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 110 220 330 440 550 SE +/- 5.55, N = 3 SE +/- 5.64, N = 15 SE +/- 3.54, N = 15 SE +/- 2.92, N = 15 SE +/- 2.35, N = 3 493.35 493.33 262.80 193.04 329.48 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1.1694 2.3388 3.5082 4.6776 5.847 SE +/- 0.02285, N = 3 SE +/- 0.02430, N = 15 SE +/- 0.05352, N = 15 SE +/- 0.08142, N = 15 SE +/- 0.02151, N = 3 2.02725 2.03046 3.81481 5.19721 3.03480 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
Result
OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 16 32 48 64 80 SE +/- 2.46, N = 15 SE +/- 0.29, N = 3 SE +/- 0.35, N = 15 SE +/- 0.75, N = 15 SE +/- 0.77, N = 15 65.85 70.47 40.13 41.50 59.23 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt Inference Time Cost (ms)
OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 6 12 18 24 30 SE +/- 0.59, N = 15 SE +/- 0.06, N = 3 SE +/- 0.22, N = 15 SE +/- 0.48, N = 15 SE +/- 0.22, N = 15 15.49 14.19 24.95 24.22 16.92 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0158 0.0316 0.0474 0.0632 0.079 0.070 0.043 0.024 0.016 0.025
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0182 0.0364 0.0546 0.0728 0.091 0.081 0.050 0.037 0.024 0.033
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: particle_volume/ao/real_time Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0155 0.031 0.0465 0.062 0.0775 0.069 0.044 0.047 0.031 0.046
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: particle_volume/scivis/real_time Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.018 0.036 0.054 0.072 0.09 0.080 0.050 0.045 0.033 0.052
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: HWB Color Space Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 6 12 18 24 30 26.43 18.48 14.80 17.23 16.87
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Noise-Gaussian Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1.3358 2.6716 4.0074 5.3432 6.679 5.937 4.017 4.017 2.898 3.299
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1.0274 2.0548 3.0822 4.1096 5.137 4.566 2.892 3.040 2.389 2.836
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Resizing Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 5 10 15 20 25 22.103 13.262 13.088 9.888 10.860
ASKAP ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
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.
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 100K 200K 300K 400K 500K SE +/- 226.59, N = 3 SE +/- 2404.69, N = 3 SE +/- 212.63, N = 3 SE +/- 526.79, N = 3 SE +/- 396.86, N = 3 425283 458013 348947 188507 442800 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp kH/s Per Watt
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 800 1600 2400 3200 4000 3739.47 2449.27 2750.38 1845.61 2305.63 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 18.2 113.7 129.5 Ryzen 9 7950X 17.3 187.0 220.1 Ryzen 9 5950X 23.2 126.9 141.2 Ryzen 7 5800X3D 20.1 102.1 115.4 Core i9 13900K 10.3 192.1 255.8 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.20.3 CPU Power Consumption Monitor 70 140 210 280 350 1. Ryzen 9 7950X3D: Approximate power consumption of 3867 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 6420 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 4356 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 3439 Joules per run. 5. Core i9 13900K: Approximate power consumption of 6594 Joules per run.
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 70K 140K 210K 280K 350K SE +/- 165.63, N = 3 SE +/- 2466.61, N = 3 SE +/- 117.90, N = 3 SE +/- 58.59, N = 3 SE +/- 1609.65, N = 3 291570 313527 155270 83690 199987 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp kH/s Per Watt
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 600 1200 1800 2400 3000 2755.19 1687.53 1227.64 816.06 1064.98 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 19.9 105.8 118.2 Ryzen 9 7950X 19.2 185.8 217.9 Ryzen 9 5950X 29.4 126.5 143.1 Ryzen 7 5800X3D 24.5 102.6 115.6 Core i9 13900K 10.3 187.8 254.3 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.20.3 CPU Power Consumption Monitor 70 140 210 280 350 1. Ryzen 9 7950X3D: Approximate power consumption of 3598 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 6317 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 4216 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 3487 Joules per run. 5. Core i9 13900K: Approximate power consumption of 6385 Joules per run.
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Magi Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 9.510 6.561 6.655 4.320 6.151
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: x25x Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 10.649 6.801 6.363 4.061 5.698
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Garlicoin Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 10 20 30 40 50 42.92 25.19 18.03 23.44 15.59
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 30K 60K 90K 120K 150K SE +/- 47.26, N = 3 SE +/- 112.60, N = 3 SE +/- 43.72, N = 3 SE +/- 43.72, N = 3 SE +/- 64.89, N = 3 136400 147653 48297 27167 53313 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp kH/s Per Watt
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 300 600 900 1200 1500 1248.82 765.91 396.33 243.74 281.05 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 16.8 109.2 126.8 Ryzen 9 7950X 17.4 192.8 229.1 Ryzen 9 5950X 14.3 121.9 135.4 Ryzen 7 5800X3D 21.4 111.5 126.1 Core i9 13900K 10.4 189.7 269.6 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.20.3 CPU Power Consumption Monitor 70 140 210 280 350 1. Ryzen 9 7950X3D: Approximate power consumption of 3714 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 6555 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 4143 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 3827 Joules per run. 5. Core i9 13900K: Approximate power consumption of 6513 Joules per run.
IndigoBench OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0212 0.0424 0.0636 0.0848 0.106 0.094 0.061 0.066 0.042 0.057
LuxCoreRender OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0446 0.0892 0.1338 0.1784 0.223 0.198 0.133 0.140 0.089 0.110
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0142 0.0284 0.0426 0.0568 0.071 0.063 0.042 0.044 0.029 0.034
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0079 0.0158 0.0237 0.0316 0.0395 0.035 0.023 0.022 0.014 0.017
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 900 1800 2700 3600 4500 SE +/- 12.87, N = 3 SE +/- 8.42, N = 3 SE +/- 8.52, N = 3 SE +/- 2.27, N = 3 SE +/- 3.84, N = 3 4032.2 4137.3 2808.3 2160.7 3574.6 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 200 400 600 800 1000 SE +/- 6.46, N = 3 SE +/- 7.93, N = 3 SE +/- 1.63, N = 3 SE +/- 2.83, N = 3 SE +/- 2.70, N = 3 1064.2 843.6 431.5 576.1 759.5 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 200 400 600 800 1000 SE +/- 0.90, N = 3 SE +/- 2.24, N = 3 SE +/- 1.47, N = 3 SE +/- 1.03, N = 3 SE +/- 1.83, N = 3 1010.4 848.8 442.2 600.2 718.4 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 600 1200 1800 2400 3000 SE +/- 6.35, N = 3 SE +/- 7.04, N = 3 SE +/- 8.94, N = 3 SE +/- 21.95, N = 3 SE +/- 12.55, N = 3 2421.5 2384.0 1910.0 1732.6 2577.0 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 8 16 24 32 40 36.67 24.78 20.13 23.62 26.17 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 12.2 66.0 95.1 Ryzen 9 7950X 19.3 96.2 147.6 Ryzen 9 5950X 17.8 94.9 140.8 Ryzen 7 5800X3D 21.6 73.3 112.8 Core i9 13900K 10.1 98.5 171.0 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.4 CPU Power Consumption Monitor 50 100 150 200 250 1. Ryzen 9 7950X3D: Approximate power consumption of 4336 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 6349 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 6293 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 4865 Joules per run. 5. Core i9 13900K: Approximate power consumption of 6500 Joules per run.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 70 140 210 280 350 SE +/- 2.51, N = 8 SE +/- 0.98, N = 3 SE +/- 0.12, N = 3 SE +/- 0.35, N = 3 SE +/- 1.17, N = 3 300.1 252.1 128.2 155.3 255.9 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 8 16 24 32 40 33.02 21.66 19.06 21.33 28.32
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 10 20 30 40 50 41.75 30.49 20.34 25.11 40.69
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 6 12 18 24 30 SE +/- 0.34, N = 15 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 25.5 23.3 18.7 19.0 20.6 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 4 8 12 16 20 SE +/- 0.17, N = 15 SE +/- 0.03, N = 3 SE +/- 0.10, N = 6 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 14.4 12.7 10.3 10.8 11.5 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 9 18 27 36 45 40.67 30.59 23.83 29.24 30.72
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 9 18 27 36 45 39.30 32.02 24.07 31.13 40.80
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 300 600 900 1200 1500 SE +/- 1.67, N = 3 SE +/- 2.98, N = 3 SE +/- 1.74, N = 3 SE +/- 3.47, N = 3 SE +/- 1.22, N = 3 1336.8 1409.3 1111.5 1292.8 1329.2 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 500 1000 1500 2000 2500 SE +/- 1.30, N = 3 SE +/- 4.45, N = 3 SE +/- 19.93, N = 3 SE +/- 2.21, N = 3 SE +/- 0.35, N = 3 2250.8 2220.8 1773.0 1622.5 2399.0 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 10 20 30 40 50 41.75 30.49 20.34 25.11 40.69 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 20.0 53.9 61.7 Ryzen 9 7950X 20.0 72.8 97.4 Ryzen 9 5950X 26.6 87.2 129.4 Ryzen 7 5800X3D 23.6 64.6 91.8 Core i9 13900K 10.1 59.0 82.8 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.4 CPU Power Consumption Monitor 40 80 120 160 200 1. Ryzen 9 7950X3D: Approximate power consumption of 3576 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 4782 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 5723 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 4329 Joules per run. 5. Core i9 13900K: Approximate power consumption of 3931 Joules per run.
LZ4 Compression OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 100 200 300 400 500 441.19 314.02 241.51 297.95 360.89
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 90 180 270 360 450 433.55 328.74 241.12 296.35 321.91
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 100 200 300 400 500 447.32 323.31 241.50 299.84 330.50
Zstd Compression This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 500 1000 1500 2000 2500 SE +/- 14.78, N = 15 SE +/- 10.13, N = 3 SE +/- 4.14, N = 6 SE +/- 15.68, N = 3 SE +/- 0.23, N = 3 1853.1 2002.1 1583.6 1508.7 2122.3 -llz4 -llz4 -llz4 -llz4 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 9 18 27 36 45 39.30 32.02 24.07 31.13 40.80 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 16.5 47.2 58.4 Ryzen 9 7950X 18.9 62.5 85.2 Ryzen 9 5950X 18.4 65.8 87.4 Ryzen 7 5800X3D 17.6 48.5 62.9 Core i9 13900K 10.0 52.0 79.3 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Ryzen 9 7950X3D: Approximate power consumption of 3358 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 4293 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 5054 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 3635 Joules per run. 5. Core i9 13900K: Approximate power consumption of 3780 Joules per run.
LZ4 Compression This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 4K 8K 12K 16K 20K SE +/- 115.61, N = 3 SE +/- 178.19, N = 4 SE +/- 6.85, N = 3 SE +/- 57.71, N = 3 SE +/- 79.44, N = 3 17165.72 16706.39 12178.46 11683.20 12902.15 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 20 40 60 80 100 SE +/- 0.50, N = 13 SE +/- 0.76, N = 6 SE +/- 0.58, N = 3 SE +/- 0.76, N = 3 SE +/- 0.05, N = 3 73.60 79.08 70.31 65.02 85.13 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 20 40 60 80 100 SE +/- 0.45, N = 3 SE +/- 0.93, N = 3 SE +/- 0.98, N = 3 SE +/- 0.38, N = 3 SE +/- 0.01, N = 3 72.42 78.48 69.23 62.41 82.96 1. (CC) gcc options: -O3
QuantLib OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.21 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 30 60 90 120 150 91.34 90.55 74.11 87.30 137.09
LuaRadio OpenBenchmarking.org MiB/s Per Watt, More Is Better LuaRadio 0.9.1 Test: Complex Phase Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 5 10 15 20 25 20.15 15.42 12.56 14.61 18.39
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Five Back to Back FIR Filters Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 500 1000 1500 2000 2500 SE +/- 18.74, N = 7 SE +/- 31.40, N = 3 SE +/- 10.92, N = 3 SE +/- 8.03, N = 3 SE +/- 13.89, N = 3 2028.5 2203.4 1627.9 1823.0 1969.5
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: FM Deemphasis Filter Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 160 320 480 640 800 SE +/- 4.12, N = 7 SE +/- 0.85, N = 3 SE +/- 2.51, N = 3 SE +/- 0.86, N = 3 SE +/- 0.93, N = 3 516.5 531.3 473.7 442.3 719.2
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Hilbert Transform Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 60 120 180 240 300 SE +/- 0.57, N = 7 SE +/- 0.15, N = 3 SE +/- 0.44, N = 3 SE +/- 0.15, N = 3 SE +/- 0.38, N = 3 154.4 155.7 127.6 119.3 254.0
ASKAP OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 70 140 210 280 350 305.92 117.07 53.14 195.08 185.34
OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 10 20 30 40 50 44.31 31.09 13.74 26.30 35.76
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1500 3000 4500 6000 7500 SE +/- 36.30, N = 7 SE +/- 23.45, N = 6 SE +/- 12.44, N = 6 SE +/- 57.98, N = 15 SE +/- 32.31, N = 15 6904.08 6168.55 2793.17 6022.71 4933.62 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Gridding Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 600 1200 1800 2400 3000 SE +/- 24.86, N = 6 SE +/- 0.19, N = 3 SE +/- 0.32, N = 3 SE +/- 1.70, N = 3 SE +/- 3.81, N = 3 2510.85 2198.38 784.79 933.62 2814.43 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
7-Zip Compression OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 400 800 1200 1600 2000 1803.83 1191.17 1104.47 876.20 774.58
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 40K 80K 120K 160K 200K SE +/- 443.43, N = 3 SE +/- 335.16, N = 3 SE +/- 68.54, N = 3 SE +/- 167.75, N = 3 SE +/- 867.87, N = 3 189979 179291 94633 84039 182721 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
WebP Image Encode OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.3411 0.6822 1.0233 1.3644 1.7055 1.003 0.982 0.620 0.709 1.516
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.1971 0.3942 0.5913 0.7884 0.9855 0.565 0.554 0.375 0.428 0.876
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0421 0.0842 0.1263 0.1684 0.2105 0.138 0.133 0.107 0.122 0.187
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0173 0.0346 0.0519 0.0692 0.0865 0.051 0.047 0.040 0.046 0.077
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0041 0.0082 0.0123 0.0164 0.0205 0.018 0.015 0.011 0.014 0.018
Result
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1.2488 2.4976 3.7464 4.9952 6.244 SE +/- 0.02, N = 8 SE +/- 0.01, N = 8 SE +/- 0.02, N = 7 SE +/- 0.01, N = 7 SE +/- 0.02, N = 7 5.55 5.44 4.53 4.25 5.06 1. (CC) gcc options: -fvisibility=hidden -O2 -lm MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0421 0.0842 0.1263 0.1684 0.2105 0.138 0.133 0.107 0.122 0.187 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 18.7 40.1 58.3 Ryzen 9 7950X 15.6 40.9 61.2 Ryzen 9 5950X 19.7 42.5 55.8 Ryzen 7 5800X3D 18.1 34.9 45.7 Core i9 13900K 10.1 27.1 43.0 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Ryzen 9 7950X3D: Approximate power consumption of 341 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 348 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 395 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 339 Joules per run. 5. Core i9 13900K: Approximate power consumption of 244 Joules per run.
Result
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.5288 1.0576 1.5864 2.1152 2.644 SE +/- 0.00, N = 5 SE +/- 0.01, N = 5 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.00, N = 5 2.31 2.26 1.88 1.70 2.35 1. (CC) gcc options: -fvisibility=hidden -O2 -lm MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0173 0.0346 0.0519 0.0692 0.0865 0.051 0.047 0.040 0.046 0.077 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 20.8 45.0 57.9 Ryzen 9 7950X 19.7 47.8 60.7 Ryzen 9 5950X 24.9 46.9 56.9 Ryzen 7 5800X3D 20.4 37.3 42.6 Core i9 13900K 10.0 30.4 43.9 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Ryzen 9 7950X3D: Approximate power consumption of 657 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 707 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 798 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 680 Joules per run. 5. Core i9 13900K: Approximate power consumption of 438 Joules per run.
Result
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.2093 0.4186 0.6279 0.8372 1.0465 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.83 0.88 0.72 0.67 0.93 1. (CC) gcc options: -fvisibility=hidden -O2 -lm MP/s Per Watt
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0041 0.0082 0.0123 0.0164 0.0205 0.018 0.015 0.011 0.014 0.018 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 18.1 45.2 55.4 Ryzen 9 7950X 19.6 59.9 69.0 Ryzen 9 5950X 20.4 63.6 72.8 Ryzen 7 5800X3D 19.0 46.6 53.1 Core i9 13900K 9.9 50.4 65.4 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Ryzen 9 7950X3D: Approximate power consumption of 1492 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 1877 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 2373 Joules per run. 4. Ryzen 7 5800X3D: Approximate power consumption of 1850 Joules per run. 5. Core i9 13900K: Approximate power consumption of 1513 Joules per run.
ASTC Encoder OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Fast Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.9344 1.8688 2.8032 3.7376 4.672 4.153 2.783 2.743 1.521 2.235
OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Medium Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.4266 0.8532 1.2798 1.7064 2.133 1.896 1.352 1.187 0.632 1.210
OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Thorough Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0367 0.0734 0.1101 0.1468 0.1835 0.163 0.108 0.109 0.061 0.101
LeelaChessZero OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.28 Backend: BLAS Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 5 10 15 20 25 22.475 11.248 5.593 11.659 5.094
Crafty OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Crafty 25.2 Elapsed Time Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 90K 180K 270K 360K 450K 363393.45 290518.55 227131.78 279451.45 405958.92
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.
LAMMPS Molecular Dynamics Simulator OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.029 0.058 0.087 0.116 0.145 0.129 0.086 0.088 0.066 0.076
RocksDB OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 7.9.2 Test: Read Random Write Random Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 6K 12K 18K 24K 30K 27962.73 18249.73 18198.19 16530.83 14722.15
OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 7.9.2 Test: Update Random Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 2K 4K 6K 8K 10K 8322.47 5429.00 5277.00 5269.29 4142.09
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Core i9 13900K 60 120 180 240 300 SE +/- 2.97, N = 3 SE +/- 2.81, N = 4 SE +/- 1.62, N = 3 SE +/- 0.91, N = 3 283.61 244.01 126.29 281.69 MIN: 13.28 / MAX: 8571.43 MIN: 12.67 / MAX: 8571.43 MIN: 5.9 / MAX: 8571.43 MIN: 16.55 / MAX: 8571.43 100M Rows Hits Dataset, First Run / Cold Cache
Ryzen 7 5800X3D: The test run did not produce a result.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Core i9 13900K 70 140 210 280 350 SE +/- 1.87, N = 3 SE +/- 3.50, N = 4 SE +/- 1.03, N = 3 SE +/- 2.15, N = 3 314.75 274.02 137.63 309.08 MIN: 19.82 / MAX: 8571.43 MIN: 16.73 / MAX: 10000 MIN: 6.19 / MAX: 10000 MIN: 20.75 / MAX: 10000 100M Rows Hits Dataset, Second Run
Ryzen 7 5800X3D: The test run did not produce a result.
Result
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Core i9 13900K 70 140 210 280 350 SE +/- 1.70, N = 3 SE +/- 1.36, N = 4 SE +/- 0.50, N = 3 SE +/- 1.90, N = 3 322.26 277.21 141.29 307.59 MIN: 19.85 / MAX: 10000 MIN: 15.12 / MAX: 12000 MIN: 6.32 / MAX: 8571.43 MIN: 20.63 / MAX: 8571.43 Queries Per Minute, Geo Mean Per Watt
OpenBenchmarking.org Queries Per Minute, Geo Mean Per Watt, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Core i9 13900K 0.9407 1.8814 2.8221 3.7628 4.7035 4.181 2.367 1.158 2.154 CPU Power Consumption
Min Avg Max Ryzen 9 7950X3D 18.9 77.1 134.7 Ryzen 9 7950X 18.7 117.1 219.9 Ryzen 9 5950X 19.5 122.1 145.7 Core i9 13900K 10.3 142.8 294.2 OpenBenchmarking.org Watts, Fewer Is Better ClickHouse 22.12.3.5 CPU Power Consumption Monitor 70 140 210 280 350 1. Ryzen 9 7950X3D: Approximate power consumption of 14363 Joules per run. 2. Ryzen 9 7950X: Approximate power consumption of 22632 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 39628 Joules per run. 4. Core i9 13900K: Approximate power consumption of 25567 Joules per run. 100M Rows Hits Dataset, Third Run
Ryzen 7 5800X3D: The test run did not produce a result.
Stargate Digital Audio Workstation OpenBenchmarking.org Render Ratio Per Watt, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0194 0.0388 0.0582 0.0776 0.097 0.086 0.054 0.048 0.033 0.044
OpenBenchmarking.org Render Ratio Per Watt, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.018 0.036 0.054 0.072 0.09 0.080 0.051 0.045 0.033 0.042
OpenBenchmarking.org Render Ratio Per Watt, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.0187 0.0374 0.0561 0.0748 0.0935 0.083 0.052 0.047 0.032 0.042
Selenium OpenBenchmarking.org Runs Per Minute Per Watt, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 10.199 8.961 5.362 7.208 13.464
Node.js V8 Web Tooling Benchmark Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.
srsRAN OpenBenchmarking.org Samples / Second Per Watt, More Is Better srsRAN 22.04.1 Test: OFDM_Test Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1.2M 2.4M 3.6M 4.8M 6M 5385437.36 4300478.82 2925958.87 3697190.09 4755384.68
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.
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.
Numpy Benchmark OpenBenchmarking.org Score Per Watt, More Is Better Numpy Benchmark Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 5 10 15 20 25 21.86 16.62 11.43 14.49 17.15
srsRAN srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org UE Mb/s Per Watt, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 2 4 6 8 10 5.632 5.101 3.843 4.516 7.133
BRL-CAD OpenBenchmarking.org VGR Performance Metric Per Watt, More Is Better BRL-CAD 7.34 VGR Performance Metric Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 700 1400 2100 2800 3500 3080.31 2071.50 2045.01 1398.59 2101.86
Chaos Group V-RAY OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 60 120 180 240 300 257.32 171.63 177.43 113.95 147.45
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.
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
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.
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
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.
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 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.21, N = 15 9.06 8.54 13.15 7.15 7.91 MIN: 8.94 / MAX: 9.49 MIN: 8.35 / MAX: 52.67 MIN: 12.8 / MAX: 13.7 MIN: 6.96 / MAX: 10.03 MIN: 6.32 / MAX: 12.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1.044 2.088 3.132 4.176 5.22 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 15 3.86 3.57 4.64 2.07 2.48 MIN: 3.78 / MAX: 4.38 MIN: 3.51 / MAX: 4.09 MIN: 4.34 / MAX: 5.39 MIN: 1.99 / MAX: 4.7 MIN: 2.17 / MAX: 4.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.873 1.746 2.619 3.492 4.365 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 15 3.38 3.12 3.88 1.83 2.17 MIN: 3.31 / MAX: 3.9 MIN: 3.07 / MAX: 3.52 MIN: 3.78 / MAX: 9.96 MIN: 1.75 / MAX: 5.77 MIN: 1.96 / MAX: 5.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.9428 1.8856 2.8284 3.7712 4.714 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 15 3.83 3.61 4.19 1.96 2.52 MIN: 3.75 / MAX: 5.16 MIN: 3.55 / MAX: 4.12 MIN: 4.1 / MAX: 4.71 MIN: 1.93 / MAX: 4.46 MIN: 2.24 / MAX: 3.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 15 4.71 4.34 6.01 3.35 3.67 MIN: 4.61 / MAX: 5.29 MIN: 4.27 / MAX: 5 MIN: 5.87 / MAX: 8.89 MIN: 3.28 / MAX: 6.15 MIN: 3.25 / MAX: 5.58 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 0.4028 0.8056 1.2084 1.6112 2.014 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 15 1.63 1.52 1.79 0.74 1.08 MIN: 1.6 / MAX: 2 MIN: 1.49 / MAX: 2.02 MIN: 1.71 / MAX: 3.34 MIN: 0.72 / MAX: 3.38 MIN: 0.9 / MAX: 1.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 15 8.66 8.29 12.10 5.05 6.61 MIN: 8.46 / MAX: 14.3 MIN: 8.16 / MAX: 14.32 MIN: 11.75 / MAX: 18.28 MIN: 4.96 / MAX: 8.3 MIN: 6.02 / MAX: 11.08 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 11 22 33 44 55 SE +/- 0.18, N = 3 SE +/- 0.02, N = 3 SE +/- 0.31, N = 3 SE +/- 0.02, N = 3 SE +/- 0.28, N = 15 24.63 23.70 49.69 32.77 19.48 MIN: 24.02 / MAX: 26.03 MIN: 23.53 / MAX: 24.8 MIN: 48.53 / MAX: 56.48 MIN: 32.35 / MAX: 36.14 MIN: 17.92 / MAX: 728.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 15 6.87 7.27 10.51 5.79 5.46 MIN: 6.74 / MAX: 7.74 MIN: 7.13 / MAX: 8.04 MIN: 10.29 / MAX: 11.35 MIN: 5.52 / MAX: 9.01 MIN: 5.16 / MAX: 9.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 2 4 6 8 10 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 15 4.76 4.71 7.44 4.39 4.15 MIN: 4.49 / MAX: 5.41 MIN: 4.62 / MAX: 5.43 MIN: 7.03 / MAX: 8.19 MIN: 4.29 / MAX: 7.46 MIN: 3.86 / MAX: 6.43 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 15 11.56 11.79 20.98 12.84 9.45 MIN: 11.37 / MAX: 16.98 MIN: 11.53 / MAX: 12.86 MIN: 20.28 / MAX: 22.47 MIN: 12.64 / MAX: 16.1 MIN: 9.09 / MAX: 81.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.93, N = 15 14.43 14.12 22.70 12.45 14.56 MIN: 14.2 / MAX: 21.29 MIN: 13.84 / MAX: 14.76 MIN: 21.12 / MAX: 29.26 MIN: 11.5 / MAX: 17.65 MIN: 10.97 / MAX: 1397.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 15 11.97 12.00 17.82 8.60 8.55 MIN: 11.77 / MAX: 12.85 MIN: 11.85 / MAX: 14.84 MIN: 16.72 / MAX: 24.04 MIN: 8.18 / MAX: 22.62 MIN: 7.56 / MAX: 12.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.18, N = 15 12.22 11.39 12.38 5.73 8.36 MIN: 11.96 / MAX: 13.32 MIN: 11.2 / MAX: 12.36 MIN: 12.1 / MAX: 12.97 MIN: 5.66 / MAX: 8.34 MIN: 7.42 / MAX: 11.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 1.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.57, N = 15 80.54 75.85 113.98 148.93 117.33 MIN: 80.17 / MAX: 86.18 MIN: 74.42 / MAX: 99.17 MIN: 113.39 / MAX: 119.97 MIN: 148.35 / MAX: 152.87 MIN: 114.58 / MAX: 811.08 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 1.116 2.232 3.348 4.464 5.58 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 15 4.78 4.44 4.96 2.31 3.17 MIN: 4.66 / MAX: 5.22 MIN: 4.35 / MAX: 4.97 MIN: 4.79 / MAX: 5.46 MIN: 2.27 / MAX: 2.57 MIN: 2.82 / MAX: 8.94 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Google Draco Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.
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.
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.
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 Ryzen 9 7950X3D Ryzen 9 7950X Ryzen 9 5950X Ryzen 7 5800X3D Core i9 13900K 9 18 27 36 45 22.36 23.48 38.38 36.63 26.46 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
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.
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
KTX-Software toktx This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
GNU Octave Benchmark This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.
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.
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.
Timed Godot Game Engine Compilation This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.
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.
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
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.
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
WireGuard + Linux Networking Stack Stress Test This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.
Gcrypt Library Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.
PyHPC Benchmarks PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.
Core i9 13900K Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70
OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, 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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e - Thermald 2.5.2Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 February 2023 21:12 by user phoronix.
Ryzen 7 5800X3D Processor: AMD Ryzen 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4402 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211
OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, 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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120aJava Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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 22 February 2023 21:12 by user phoronix.
Ryzen 9 5950X Processor: AMD Ryzen 9 5950X 16-Core @ 5.08GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4402 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211
OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, 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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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 24 February 2023 16:43 by user phoronix.
Ryzen 9 7950X Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, 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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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 15 February 2023 13:02 by user phoronix.
Ryzen 9 7950X3D Processor: AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, 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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Notes: Python 3.11.1Security 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 16 February 2023 19:12 by user phoronix.