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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 60 120 180 240 300 Min: 5.12 / Avg: 135.05 / Max: 326.64 Min: 7.99 / Avg: 93.16 / Max: 145.39 Min: 2.06 / Avg: 111.33 / Max: 151.5 Min: 9.26 / Avg: 134.06 / Max: 235.78 Min: 9.55 / Avg: 80.83 / Max: 143.74
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.14.06 Test: CPU Stress Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 130 260 390 520 650 299.22 247.69 384.66 356.86 592.82
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.14.06 Test: Matrix Math Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 200 400 600 800 1000 543.94 413.46 639.30 637.09 982.56
OpenBenchmarking.org Bogo Ops/s Per Watt, More Is Better Stress-NG 0.14.06 Test: IO_uring Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 150 300 450 600 750 530.03 699.51 619.70 474.96 570.21
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 140 280 420 560 700 SE +/- 4.06, N = 5 SE +/- 0.90, N = 4 SE +/- 3.43, N = 4 SE +/- 0.79, N = 5 SE +/- 2.62, N = 5 618.9 470.7 511.8 614.4 635.9 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 150 300 450 600 750 SE +/- 2.11, N = 4 SE +/- 0.45, N = 4 SE +/- 4.41, N = 4 SE +/- 1.07, N = 4 SE +/- 1.94, N = 4 692.9 515.4 555.7 660.4 609.5 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 140 280 420 560 700 SE +/- 1.28, N = 3 SE +/- 0.65, N = 3 SE +/- 0.68, N = 3 SE +/- 0.98, N = 3 SE +/- 5.08, N = 3 636.6 472.2 502.7 618.3 552.5 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 150 300 450 600 750 SE +/- 1.52, N = 3 SE +/- 0.82, N = 3 SE +/- 3.98, N = 3 SE +/- 4.08, N = 3 SE +/- 6.39, N = 3 703.9 516.7 549.7 671.9 608.1 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 50 100 150 200 250 SE +/- 1.04, N = 4 SE +/- 0.54, N = 3 SE +/- 0.32, N = 4 SE +/- 1.62, N = 5 SE +/- 0.67, N = 5 228.2 154.1 163.6 210.1 191.0 -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 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 4 8 12 16 20 8.709 6.185 8.940 14.229
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 5.61 2.83 4.03 14.48 13.52 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0162 0.0324 0.0486 0.0648 0.081 0.042 0.035 0.029 0.047 0.072
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 18.32 5.83 9.77 28.31 26.07 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 10K 20K 30K 40K 50K SE +/- 131.87, N = 3 SE +/- 5.84, N = 3 SE +/- 45.29, N = 3 SE +/- 45.80, N = 3 SE +/- 13.50, N = 3 17587.93 8671.53 13284.36 45170.18 40665.29 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 6K 12K 18K 24K 30K SE +/- 63.18, N = 3 SE +/- 1.71, N = 3 SE +/- 30.52, N = 3 SE +/- 15.17, N = 3 SE +/- 27.74, N = 3 19215.54 9344.30 14354.78 26151.55 23609.26 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 3.51 1.77 2.51 7.62 7.38 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 3.49 1.74 2.46 7.59 7.28 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 600 1200 1800 2400 3000 SE +/- 2.15, N = 3 SE +/- 0.74, N = 3 SE +/- 0.94, N = 3 SE +/- 1.83, N = 3 SE +/- 0.54, N = 3 1865.09 566.78 960.20 2897.96 2615.51 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 300 600 900 1200 1500 SE +/- 1.73, N = 3 SE +/- 0.33, N = 3 SE +/- 0.38, N = 3 SE +/- 1.33, N = 3 SE +/- 0.77, N = 3 562.23 276.53 438.32 1447.08 1335.75 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 400 800 1200 1600 2000 SE +/- 1.06, N = 3 SE +/- 0.68, N = 3 SE +/- 1.01, N = 3 SE +/- 1.27, N = 3 SE +/- 4.69, N = 3 955.91 413.79 685.28 1860.49 1708.21 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.2209 2.4418 3.6627 4.8836 6.1045 2.621 1.745 3.214 5.426
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 1.1 Video Input: Summer Nature 1080p Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 7 14 21 28 35 15.59 12.13 19.24 28.03
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 1.1 Video Input: Chimera 1080p 10-bit Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 7.751 4.479 7.686 13.018
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 200 400 600 800 1000 SE +/- 0.74, N = 3 SE +/- 0.33, N = 3 SE +/- 0.85, N = 3 SE +/- 3.73, N = 3 SE +/- 3.80, N = 3 340.07 272.75 240.30 774.49 1007.38 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 400 800 1200 1600 2000 SE +/- 4.56, N = 3 SE +/- 0.73, N = 3 SE +/- 3.90, N = 3 SE +/- 1.71, N = 3 SE +/- 1.67, N = 3 689.37 446.96 600.77 1705.71 1663.96 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.33, N = 3 SE +/- 0.87, N = 3 SE +/- 0.28, N = 3 61.20 28.87 37.38 137.43 134.94 -pie -ldl -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.4547 0.9094 1.3641 1.8188 2.2735 0.958 0.928 0.889 1.325 2.021
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0959 0.1918 0.2877 0.3836 0.4795 0.206 0.170 0.216 0.254 0.426
Embree OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0716 0.1432 0.2148 0.2864 0.358 0.179 0.156 0.192 0.202 0.318
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.0 Binary: Pathtracer - Model: Crown Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0617 0.1234 0.1851 0.2468 0.3085 0.151 0.123 0.186 0.173 0.274
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0092 0.0184 0.0276 0.0368 0.046 0.041 0.030 0.025 0.032 0.033
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 30 60 90 120 150 42.18 60.85 53.79 72.69 138.30
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.8199 1.6398 2.4597 3.2796 4.0995 SE +/- 0.00365, N = 3 SE +/- 0.03603, N = 12 SE +/- 0.08488, N = 15 SE +/- 0.00601, N = 3 SE +/- 0.00385, N = 3 2.98374 1.68037 1.84790 3.64400 3.61193 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 130 260 390 520 650 SE +/- 0.41, N = 3 SE +/- 14.25, N = 12 SE +/- 27.51, N = 15 SE +/- 0.45, N = 3 SE +/- 0.29, N = 3 335.15 598.45 558.84 274.42 276.86 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 50 100 150 200 250 SE +/- 0.02, N = 3 SE +/- 4.42, N = 15 SE +/- 0.50, N = 3 SE +/- 5.71, N = 15 SE +/- 0.27, N = 3 93.26 99.76 104.47 219.43 212.22 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 SE +/- 0.00201, N = 3 SE +/- 0.53809, N = 15 SE +/- 0.04597, N = 3 SE +/- 0.14482, N = 15 SE +/- 0.00590, N = 3 10.72250 10.35438 9.57196 4.60971 4.71179 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 5 10 15 20 25 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.38, N = 15 SE +/- 0.60, N = 12 SE +/- 0.04, N = 3 20.73 16.65 15.84 17.97 20.29 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 14 28 42 56 70 SE +/- 0.37, N = 3 SE +/- 0.34, N = 3 SE +/- 1.70, N = 15 SE +/- 1.83, N = 12 SE +/- 0.10, N = 3 48.25 60.06 63.69 56.31 49.29 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 40 80 120 160 200 SE +/- 0.10, N = 3 SE +/- 1.55, N = 15 SE +/- 1.68, N = 15 SE +/- 0.64, N = 3 SE +/- 0.22, N = 3 180.19 139.34 122.53 161.90 190.03 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 2 4 6 8 10 SE +/- 0.00305, N = 3 SE +/- 0.08499, N = 15 SE +/- 0.11476, N = 15 SE +/- 0.02430, N = 3 SE +/- 0.00600, N = 3 5.54691 7.18723 8.18075 6.17464 5.26041 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 10 20 30 40 50 SE +/- 0.00412, N = 3 SE +/- 0.02848, N = 3 SE +/- 0.85477, N = 15 SE +/- 1.24791, N = 15 SE +/- 0.32106, N = 3 9.30016 32.05800 28.42070 39.75950 45.83420 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 1.04, N = 15 SE +/- 0.72, N = 15 SE +/- 0.15, N = 3 107.52 31.19 35.62 25.47 21.82 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 110 220 330 440 550 SE +/- 2.35, N = 3 SE +/- 2.92, N = 15 SE +/- 3.54, N = 15 SE +/- 5.64, N = 15 SE +/- 5.55, N = 3 329.48 193.04 262.80 493.33 493.35 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.1694 2.3388 3.5082 4.6776 5.847 SE +/- 0.02151, N = 3 SE +/- 0.08142, N = 15 SE +/- 0.05352, N = 15 SE +/- 0.02430, N = 15 SE +/- 0.02285, N = 3 3.03480 5.19721 3.81481 2.03046 2.02725 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 16 32 48 64 80 SE +/- 0.77, N = 15 SE +/- 0.75, N = 15 SE +/- 0.35, N = 15 SE +/- 0.29, N = 3 SE +/- 2.46, N = 15 59.23 41.50 40.13 70.47 65.85 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 6 12 18 24 30 SE +/- 0.22, N = 15 SE +/- 0.48, N = 15 SE +/- 0.22, N = 15 SE +/- 0.06, N = 3 SE +/- 0.59, N = 15 16.92 24.22 24.95 14.19 15.49 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0158 0.0316 0.0474 0.0632 0.079 0.025 0.016 0.024 0.043 0.070
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0182 0.0364 0.0546 0.0728 0.091 0.033 0.024 0.037 0.050 0.081
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: particle_volume/ao/real_time Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0155 0.031 0.0465 0.062 0.0775 0.046 0.031 0.047 0.044 0.069
OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: particle_volume/scivis/real_time Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.018 0.036 0.054 0.072 0.09 0.052 0.033 0.045 0.050 0.080
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: HWB Color Space Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 6 12 18 24 30 16.87 17.23 14.80 18.48 26.43
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Noise-Gaussian Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.3358 2.6716 4.0074 5.3432 6.679 3.299 2.898 4.017 4.017 5.937
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.0274 2.0548 3.0822 4.1096 5.137 2.836 2.389 3.040 2.892 4.566
OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Resizing Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 5 10 15 20 25 10.860 9.888 13.088 13.262 22.103
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 100K 200K 300K 400K 500K SE +/- 396.86, N = 3 SE +/- 526.79, N = 3 SE +/- 212.63, N = 3 SE +/- 2404.69, N = 3 SE +/- 226.59, N = 3 442800 188507 348947 458013 425283 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 800 1600 2400 3200 4000 2305.63 1845.61 2750.38 2449.27 3739.47 CPU Power Consumption
Min Avg Max Core i9 13900K 10.3 192.1 255.8 Ryzen 7 5800X3D 20.1 102.1 115.4 Ryzen 9 5950X 23.2 126.9 141.2 Ryzen 9 7950X 17.3 187.0 220.1 Ryzen 9 7950X3D 18.2 113.7 129.5 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.20.3 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i9 13900K: Approximate power consumption of 6594 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 3439 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 4356 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 6420 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 3867 Joules per run.
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 70K 140K 210K 280K 350K SE +/- 1609.65, N = 3 SE +/- 58.59, N = 3 SE +/- 117.90, N = 3 SE +/- 2466.61, N = 3 SE +/- 165.63, N = 3 199987 83690 155270 313527 291570 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 600 1200 1800 2400 3000 1064.98 816.06 1227.64 1687.53 2755.19 CPU Power Consumption
Min Avg Max Core i9 13900K 10.3 187.8 254.3 Ryzen 7 5800X3D 24.5 102.6 115.6 Ryzen 9 5950X 29.4 126.5 143.1 Ryzen 9 7950X 19.2 185.8 217.9 Ryzen 9 7950X3D 19.9 105.8 118.2 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.20.3 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i9 13900K: Approximate power consumption of 6385 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 3487 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 4216 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 6317 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 3598 Joules per run.
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Magi Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 6.151 4.320 6.655 6.561 9.510
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: x25x Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 5.698 4.061 6.363 6.801 10.649
OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Garlicoin Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 10 20 30 40 50 15.59 23.44 18.03 25.19 42.92
Result
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 30K 60K 90K 120K 150K SE +/- 64.89, N = 3 SE +/- 43.72, N = 3 SE +/- 43.72, N = 3 SE +/- 112.60, N = 3 SE +/- 47.26, N = 3 53313 27167 48297 147653 136400 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 300 600 900 1200 1500 281.05 243.74 396.33 765.91 1248.82 CPU Power Consumption
Min Avg Max Core i9 13900K 10.4 189.7 269.6 Ryzen 7 5800X3D 21.4 111.5 126.1 Ryzen 9 5950X 14.3 121.9 135.4 Ryzen 9 7950X 17.4 192.8 229.1 Ryzen 9 7950X3D 16.8 109.2 126.8 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.20.3 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i9 13900K: Approximate power consumption of 6513 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 3827 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 4143 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 6555 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 3714 Joules per run.
IndigoBench OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0212 0.0424 0.0636 0.0848 0.106 0.057 0.042 0.066 0.061 0.094
LuxCoreRender OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0446 0.0892 0.1338 0.1784 0.223 0.110 0.089 0.140 0.133 0.198
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0142 0.0284 0.0426 0.0568 0.071 0.034 0.029 0.044 0.042 0.063
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0079 0.0158 0.0237 0.0316 0.0395 0.017 0.014 0.022 0.023 0.035
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 900 1800 2700 3600 4500 SE +/- 3.84, N = 3 SE +/- 2.27, N = 3 SE +/- 8.52, N = 3 SE +/- 8.42, N = 3 SE +/- 12.87, N = 3 3574.6 2160.7 2808.3 4137.3 4032.2 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 200 400 600 800 1000 SE +/- 2.70, N = 3 SE +/- 2.83, N = 3 SE +/- 1.63, N = 3 SE +/- 7.93, N = 3 SE +/- 6.46, N = 3 759.5 576.1 431.5 843.6 1064.2 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 200 400 600 800 1000 SE +/- 1.83, N = 3 SE +/- 1.03, N = 3 SE +/- 1.47, N = 3 SE +/- 2.24, N = 3 SE +/- 0.90, N = 3 718.4 600.2 442.2 848.8 1010.4 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 600 1200 1800 2400 3000 SE +/- 12.55, N = 3 SE +/- 21.95, N = 3 SE +/- 8.94, N = 3 SE +/- 7.04, N = 3 SE +/- 6.35, N = 3 2577.0 1732.6 1910.0 2384.0 2421.5 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 8 16 24 32 40 26.17 23.62 20.13 24.78 36.67 CPU Power Consumption
Min Avg Max Core i9 13900K 10.1 98.5 171.0 Ryzen 7 5800X3D 21.6 73.3 112.8 Ryzen 9 5950X 17.8 94.9 140.8 Ryzen 9 7950X 19.3 96.2 147.6 Ryzen 9 7950X3D 12.2 66.0 95.1 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.4 CPU Power Consumption Monitor 50 100 150 200 250 1. Core i9 13900K: Approximate power consumption of 6500 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 4865 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 6293 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 6349 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 4336 Joules per run.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 70 140 210 280 350 SE +/- 1.17, N = 3 SE +/- 0.35, N = 3 SE +/- 0.12, N = 3 SE +/- 0.98, N = 3 SE +/- 2.51, N = 8 255.9 155.3 128.2 252.1 300.1 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 8 16 24 32 40 28.32 21.33 19.06 21.66 33.02
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 10 20 30 40 50 40.69 25.11 20.34 30.49 41.75
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.34, N = 15 20.6 19.0 18.7 23.3 25.5 -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: 19, Long Mode - Compression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 6 SE +/- 0.03, N = 3 SE +/- 0.17, N = 15 11.5 10.8 10.3 12.7 14.4 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 9 18 27 36 45 30.72 29.24 23.83 30.59 40.67
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 9 18 27 36 45 40.80 31.13 24.07 32.02 39.30
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 300 600 900 1200 1500 SE +/- 1.22, N = 3 SE +/- 3.47, N = 3 SE +/- 1.74, N = 3 SE +/- 2.98, N = 3 SE +/- 1.67, N = 3 1329.2 1292.8 1111.5 1409.3 1336.8 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 500 1000 1500 2000 2500 SE +/- 0.35, N = 3 SE +/- 2.21, N = 3 SE +/- 19.93, N = 3 SE +/- 4.45, N = 3 SE +/- 1.30, N = 3 2399.0 1622.5 1773.0 2220.8 2250.8 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 10 20 30 40 50 40.69 25.11 20.34 30.49 41.75 CPU Power Consumption
Min Avg Max Core i9 13900K 10.1 59.0 82.8 Ryzen 7 5800X3D 23.6 64.6 91.8 Ryzen 9 5950X 26.6 87.2 129.4 Ryzen 9 7950X 20.0 72.8 97.4 Ryzen 9 7950X3D 20.0 53.9 61.7 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.4 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i9 13900K: Approximate power consumption of 3931 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 4329 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 5723 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 4782 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 3576 Joules per run.
LZ4 Compression OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 100 200 300 400 500 360.89 297.95 241.51 314.02 441.19
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 90 180 270 360 450 321.91 296.35 241.12 328.74 433.55
OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 100 200 300 400 500 330.50 299.84 241.50 323.31 447.32
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 500 1000 1500 2000 2500 SE +/- 0.23, N = 3 SE +/- 15.68, N = 3 SE +/- 4.14, N = 6 SE +/- 10.13, N = 3 SE +/- 14.78, N = 15 2122.3 1508.7 1583.6 2002.1 1853.1 -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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 9 18 27 36 45 40.80 31.13 24.07 32.02 39.30 CPU Power Consumption
Min Avg Max Core i9 13900K 10.0 52.0 79.3 Ryzen 7 5800X3D 17.6 48.5 62.9 Ryzen 9 5950X 18.4 65.8 87.4 Ryzen 9 7950X 18.9 62.5 85.2 Ryzen 9 7950X3D 16.5 47.2 58.4 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i9 13900K: Approximate power consumption of 3780 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 3635 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 5054 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 4293 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 3358 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 4K 8K 12K 16K 20K SE +/- 79.44, N = 3 SE +/- 57.71, N = 3 SE +/- 6.85, N = 3 SE +/- 178.19, N = 4 SE +/- 115.61, N = 3 12902.15 11683.20 12178.46 16706.39 17165.72 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.76, N = 3 SE +/- 0.58, N = 3 SE +/- 0.76, N = 6 SE +/- 0.50, N = 13 85.13 65.02 70.31 79.08 73.60 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.38, N = 3 SE +/- 0.98, N = 3 SE +/- 0.93, N = 3 SE +/- 0.45, N = 3 82.96 62.41 69.23 78.48 72.42 1. (CC) gcc options: -O3
QuantLib OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.21 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 30 60 90 120 150 137.09 87.30 74.11 90.55 91.34
LuaRadio OpenBenchmarking.org MiB/s Per Watt, More Is Better LuaRadio 0.9.1 Test: Complex Phase Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 5 10 15 20 25 18.39 14.61 12.56 15.42 20.15
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Five Back to Back FIR Filters Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 500 1000 1500 2000 2500 SE +/- 13.89, N = 3 SE +/- 8.03, N = 3 SE +/- 10.92, N = 3 SE +/- 31.40, N = 3 SE +/- 18.74, N = 7 1969.5 1823.0 1627.9 2203.4 2028.5
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: FM Deemphasis Filter Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 160 320 480 640 800 SE +/- 0.93, N = 3 SE +/- 0.86, N = 3 SE +/- 2.51, N = 3 SE +/- 0.85, N = 3 SE +/- 4.12, N = 7 719.2 442.3 473.7 531.3 516.5
OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Hilbert Transform Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 60 120 180 240 300 SE +/- 0.38, N = 3 SE +/- 0.15, N = 3 SE +/- 0.44, N = 3 SE +/- 0.15, N = 3 SE +/- 0.57, N = 7 254.0 119.3 127.6 155.7 154.4
ASKAP OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 70 140 210 280 350 185.34 195.08 53.14 117.07 305.92
OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 10 20 30 40 50 35.76 26.30 13.74 31.09 44.31
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1500 3000 4500 6000 7500 SE +/- 32.31, N = 15 SE +/- 57.98, N = 15 SE +/- 12.44, N = 6 SE +/- 23.45, N = 6 SE +/- 36.30, N = 7 4933.62 6022.71 2793.17 6168.55 6904.08 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 600 1200 1800 2400 3000 SE +/- 3.81, N = 3 SE +/- 1.70, N = 3 SE +/- 0.32, N = 3 SE +/- 0.19, N = 3 SE +/- 24.86, N = 6 2814.43 933.62 784.79 2198.38 2510.85 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 400 800 1200 1600 2000 774.58 876.20 1104.47 1191.17 1803.83
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 40K 80K 120K 160K 200K SE +/- 867.87, N = 3 SE +/- 167.75, N = 3 SE +/- 68.54, N = 3 SE +/- 335.16, N = 3 SE +/- 443.43, N = 3 182721 84039 94633 179291 189979 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.3411 0.6822 1.0233 1.3644 1.7055 1.516 0.709 0.620 0.982 1.003
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.1971 0.3942 0.5913 0.7884 0.9855 0.876 0.428 0.375 0.554 0.565
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0421 0.0842 0.1263 0.1684 0.2105 0.187 0.122 0.107 0.133 0.138
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0173 0.0346 0.0519 0.0692 0.0865 0.077 0.046 0.040 0.047 0.051
OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0041 0.0082 0.0123 0.0164 0.0205 0.018 0.014 0.011 0.015 0.018
Result
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.2488 2.4976 3.7464 4.9952 6.244 SE +/- 0.02, N = 7 SE +/- 0.01, N = 7 SE +/- 0.02, N = 7 SE +/- 0.01, N = 8 SE +/- 0.02, N = 8 5.06 4.25 4.53 5.44 5.55 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0421 0.0842 0.1263 0.1684 0.2105 0.187 0.122 0.107 0.133 0.138 CPU Power Consumption
Min Avg Max Core i9 13900K 10.1 27.1 43.0 Ryzen 7 5800X3D 18.1 34.9 45.7 Ryzen 9 5950X 19.7 42.5 55.8 Ryzen 9 7950X 15.6 40.9 61.2 Ryzen 9 7950X3D 18.7 40.1 58.3 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i9 13900K: Approximate power consumption of 244 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 339 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 395 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 348 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 341 Joules per run.
Result
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.5288 1.0576 1.5864 2.1152 2.644 SE +/- 0.00, N = 5 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 5 SE +/- 0.00, N = 5 2.35 1.70 1.88 2.26 2.31 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0173 0.0346 0.0519 0.0692 0.0865 0.077 0.046 0.040 0.047 0.051 CPU Power Consumption
Min Avg Max Core i9 13900K 10.0 30.4 43.9 Ryzen 7 5800X3D 20.4 37.3 42.6 Ryzen 9 5950X 24.9 46.9 56.9 Ryzen 9 7950X 19.7 47.8 60.7 Ryzen 9 7950X3D 20.8 45.0 57.9 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i9 13900K: Approximate power consumption of 438 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 680 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 798 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 707 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 657 Joules per run.
Result
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.2093 0.4186 0.6279 0.8372 1.0465 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 0.93 0.67 0.72 0.88 0.83 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0041 0.0082 0.0123 0.0164 0.0205 0.018 0.014 0.011 0.015 0.018 CPU Power Consumption
Min Avg Max Core i9 13900K 9.9 50.4 65.4 Ryzen 7 5800X3D 19.0 46.6 53.1 Ryzen 9 5950X 20.4 63.6 72.8 Ryzen 9 7950X 19.6 59.9 69.0 Ryzen 9 7950X3D 18.1 45.2 55.4 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i9 13900K: Approximate power consumption of 1513 Joules per run. 2. Ryzen 7 5800X3D: Approximate power consumption of 1850 Joules per run. 3. Ryzen 9 5950X: Approximate power consumption of 2373 Joules per run. 4. Ryzen 9 7950X: Approximate power consumption of 1877 Joules per run. 5. Ryzen 9 7950X3D: Approximate power consumption of 1492 Joules per run.
ASTC Encoder OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Fast Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.9344 1.8688 2.8032 3.7376 4.672 2.235 1.521 2.743 2.783 4.153
OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Medium Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.4266 0.8532 1.2798 1.7064 2.133 1.210 0.632 1.187 1.352 1.896
OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Thorough Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0367 0.0734 0.1101 0.1468 0.1835 0.101 0.061 0.109 0.108 0.163
LeelaChessZero OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.28 Backend: BLAS Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 5 10 15 20 25 5.094 11.659 5.593 11.248 22.475
Crafty OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Crafty 25.2 Elapsed Time Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 90K 180K 270K 360K 450K 405958.92 279451.45 227131.78 290518.55 363393.45
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.029 0.058 0.087 0.116 0.145 0.076 0.066 0.088 0.086 0.129
RocksDB OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 7.9.2 Test: Read Random Write Random Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 6K 12K 18K 24K 30K 14722.15 16530.83 18198.19 18249.73 27962.73
OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 7.9.2 Test: Update Random Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 2K 4K 6K 8K 10K 4142.09 5269.29 5277.00 5429.00 8322.47
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 Core i9 13900K Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 60 120 180 240 300 SE +/- 0.91, N = 3 SE +/- 1.62, N = 3 SE +/- 2.81, N = 4 SE +/- 2.97, N = 3 281.69 126.29 244.01 283.61 MIN: 16.55 / MAX: 8571.43 MIN: 5.9 / MAX: 8571.43 MIN: 12.67 / MAX: 8571.43 MIN: 13.28 / 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 Core i9 13900K Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 70 140 210 280 350 SE +/- 2.15, N = 3 SE +/- 1.03, N = 3 SE +/- 3.50, N = 4 SE +/- 1.87, N = 3 309.08 137.63 274.02 314.75 MIN: 20.75 / MAX: 10000 MIN: 6.19 / MAX: 10000 MIN: 16.73 / MAX: 10000 MIN: 19.82 / MAX: 8571.43 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 Core i9 13900K Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 70 140 210 280 350 SE +/- 1.90, N = 3 SE +/- 0.50, N = 3 SE +/- 1.36, N = 4 SE +/- 1.70, N = 3 307.59 141.29 277.21 322.26 MIN: 20.63 / MAX: 8571.43 MIN: 6.32 / MAX: 8571.43 MIN: 15.12 / MAX: 12000 MIN: 19.85 / MAX: 10000 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 Core i9 13900K Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.9407 1.8814 2.8221 3.7628 4.7035 2.154 1.158 2.367 4.181 CPU Power Consumption
Min Avg Max Core i9 13900K 10.3 142.8 294.2 Ryzen 9 5950X 19.5 122.1 145.7 Ryzen 9 7950X 18.7 117.1 219.9 Ryzen 9 7950X3D 18.9 77.1 134.7 OpenBenchmarking.org Watts, Fewer Is Better ClickHouse 22.12.3.5 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i9 13900K: Approximate power consumption of 25567 Joules per run. 2. Ryzen 9 5950X: Approximate power consumption of 39628 Joules per run. 3. Ryzen 9 7950X: Approximate power consumption of 22632 Joules per run. 4. Ryzen 9 7950X3D: Approximate power consumption of 14363 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0194 0.0388 0.0582 0.0776 0.097 0.044 0.033 0.048 0.054 0.086
OpenBenchmarking.org Render Ratio Per Watt, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.018 0.036 0.054 0.072 0.09 0.042 0.033 0.045 0.051 0.080
OpenBenchmarking.org Render Ratio Per Watt, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.0187 0.0374 0.0561 0.0748 0.0935 0.042 0.032 0.047 0.052 0.083
Selenium OpenBenchmarking.org Runs Per Minute Per Watt, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 13.464 7.208 5.362 8.961 10.199
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.2M 2.4M 3.6M 4.8M 6M 4755384.68 3697190.09 2925958.87 4300478.82 5385437.36
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 5 10 15 20 25 17.15 14.49 11.43 16.62 21.86
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 2 4 6 8 10 7.133 4.516 3.843 5.101 5.632
BRL-CAD OpenBenchmarking.org VGR Performance Metric Per Watt, More Is Better BRL-CAD 7.34 VGR Performance Metric Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 700 1400 2100 2800 3500 2101.86 1398.59 2045.01 2071.50 3080.31
Chaos Group V-RAY OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 60 120 180 240 300 147.45 113.95 177.43 171.63 257.32
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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 SE +/- 0.21, N = 15 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 7.91 7.15 13.15 8.54 9.06 MIN: 6.32 / MAX: 12.55 MIN: 6.96 / MAX: 10.03 MIN: 12.8 / MAX: 13.7 MIN: 8.35 / MAX: 52.67 MIN: 8.94 / MAX: 9.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.044 2.088 3.132 4.176 5.22 SE +/- 0.06, N = 15 SE +/- 0.00, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.48 2.07 4.64 3.57 3.86 MIN: 2.17 / MAX: 4.67 MIN: 1.99 / MAX: 4.7 MIN: 4.34 / MAX: 5.39 MIN: 3.51 / MAX: 4.09 MIN: 3.78 / MAX: 4.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.873 1.746 2.619 3.492 4.365 SE +/- 0.04, N = 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.17 1.83 3.88 3.12 3.38 MIN: 1.96 / MAX: 5.03 MIN: 1.75 / MAX: 5.77 MIN: 3.78 / MAX: 9.96 MIN: 3.07 / MAX: 3.52 MIN: 3.31 / MAX: 3.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.9428 1.8856 2.8284 3.7712 4.714 SE +/- 0.07, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.52 1.96 4.19 3.61 3.83 MIN: 2.24 / MAX: 3.55 MIN: 1.93 / MAX: 4.46 MIN: 4.1 / MAX: 4.71 MIN: 3.55 / MAX: 4.12 MIN: 3.75 / MAX: 5.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 2 4 6 8 10 SE +/- 0.06, N = 15 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 3.67 3.35 6.01 4.34 4.71 MIN: 3.25 / MAX: 5.58 MIN: 3.28 / MAX: 6.15 MIN: 5.87 / MAX: 8.89 MIN: 4.27 / MAX: 5 MIN: 4.61 / MAX: 5.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 0.4028 0.8056 1.2084 1.6112 2.014 SE +/- 0.02, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.08 0.74 1.79 1.52 1.63 MIN: 0.9 / MAX: 1.73 MIN: 0.72 / MAX: 3.38 MIN: 1.71 / MAX: 3.34 MIN: 1.49 / MAX: 2.02 MIN: 1.6 / MAX: 2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 SE +/- 0.07, N = 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 6.61 5.05 12.10 8.29 8.66 MIN: 6.02 / MAX: 11.08 MIN: 4.96 / MAX: 8.3 MIN: 11.75 / MAX: 18.28 MIN: 8.16 / MAX: 14.32 MIN: 8.46 / MAX: 14.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 11 22 33 44 55 SE +/- 0.28, N = 15 SE +/- 0.02, N = 3 SE +/- 0.31, N = 3 SE +/- 0.02, N = 3 SE +/- 0.18, N = 3 19.48 32.77 49.69 23.70 24.63 MIN: 17.92 / MAX: 728.96 MIN: 32.35 / MAX: 36.14 MIN: 48.53 / MAX: 56.48 MIN: 23.53 / MAX: 24.8 MIN: 24.02 / MAX: 26.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 SE +/- 0.04, N = 15 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 5.46 5.79 10.51 7.27 6.87 MIN: 5.16 / MAX: 9.86 MIN: 5.52 / MAX: 9.01 MIN: 10.29 / MAX: 11.35 MIN: 7.13 / MAX: 8.04 MIN: 6.74 / MAX: 7.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 2 4 6 8 10 SE +/- 0.03, N = 15 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 4.15 4.39 7.44 4.71 4.76 MIN: 3.86 / MAX: 6.43 MIN: 4.29 / MAX: 7.46 MIN: 7.03 / MAX: 8.19 MIN: 4.62 / MAX: 5.43 MIN: 4.49 / MAX: 5.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 5 10 15 20 25 SE +/- 0.04, N = 15 SE +/- 0.00, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 9.45 12.84 20.98 11.79 11.56 MIN: 9.09 / MAX: 81.37 MIN: 12.64 / MAX: 16.1 MIN: 20.28 / MAX: 22.47 MIN: 11.53 / MAX: 12.86 MIN: 11.37 / MAX: 16.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 5 10 15 20 25 SE +/- 0.93, N = 15 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 14.56 12.45 22.70 14.12 14.43 MIN: 10.97 / MAX: 1397.59 MIN: 11.5 / MAX: 17.65 MIN: 21.12 / MAX: 29.26 MIN: 13.84 / MAX: 14.76 MIN: 14.2 / MAX: 21.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 4 8 12 16 20 SE +/- 0.13, N = 15 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 8.55 8.60 17.82 12.00 11.97 MIN: 7.56 / MAX: 12.27 MIN: 8.18 / MAX: 22.62 MIN: 16.72 / MAX: 24.04 MIN: 11.85 / MAX: 14.84 MIN: 11.77 / MAX: 12.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 3 6 9 12 15 SE +/- 0.18, N = 15 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 8.36 5.73 12.38 11.39 12.22 MIN: 7.42 / MAX: 11.26 MIN: 5.66 / MAX: 8.34 MIN: 12.1 / MAX: 12.97 MIN: 11.2 / MAX: 12.36 MIN: 11.96 / MAX: 13.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 30 60 90 120 150 SE +/- 0.57, N = 15 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 1.15, N = 3 SE +/- 0.07, N = 3 117.33 148.93 113.98 75.85 80.54 MIN: 114.58 / MAX: 811.08 MIN: 148.35 / MAX: 152.87 MIN: 113.39 / MAX: 119.97 MIN: 74.42 / MAX: 99.17 MIN: 80.17 / MAX: 86.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 1.116 2.232 3.348 4.464 5.58 SE +/- 0.10, N = 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 3.17 2.31 4.96 4.44 4.78 MIN: 2.82 / MAX: 8.94 MIN: 2.27 / MAX: 2.57 MIN: 4.79 / MAX: 5.46 MIN: 4.35 / MAX: 4.97 MIN: 4.66 / MAX: 5.22 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 Core i9 13900K Ryzen 7 5800X3D Ryzen 9 5950X Ryzen 9 7950X Ryzen 9 7950X3D 9 18 27 36 45 26.46 36.63 38.38 23.48 22.36 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.