Benchmarks for a future article.
Core i9 12900K Processor: Intel Core i9-12900K @ 6.50GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (0811 BIOS), Chipset: Intel Device 7aa7, Memory: 64GB, Disk: 1000GB Generic, Graphics: ASUS Intel ADL-S GT1 3GB (1550MHz), Audio: Intel Device 7ad0, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x15 - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Core i5 12600K Processor: Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads)Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS)Chipset: Intel Device 7aa7, Memory: 16GBDisk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 1000GB GenericGraphics: ASUS Intel ADL-S GT1 3GB (1450MHz)Audio: Realtek ALC897Monitor: ASUS VP28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x12 - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Core i5 12400 Changed Processor to Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads) .
Core i5 11600K Processor: Intel Core i5-11600K @ 4.90GHz (6 Cores / 12 Threads)Motherboard: ASUS ROG STRIX Z590-I GAMING WIFI (1007 BIOS)Chipset: Intel Tiger Lake-HMemory: 16GB, Disk: 1000GB Sabrent Rocket 4.0 Plus + 1000GBGraphics: ASUS Intel RKL GT1 3GB (1300MHz)Audio: Intel Tiger Lake-H HD AudioMonitor: DELL S2409WNetwork: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x40 - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Core i5 8400 Processor: Intel Core i5-8400 @ 4.00GHz (6 Cores)Motherboard: MSI Z370M MORTAR (MS-7B54) v1.0 (1.80 BIOS)Chipset: Intel 8th Gen CoreMemory: 8GBDisk: 512GB INTEL SSDPEKNW512G8 + 1000GBGraphics: MSI Intel UHD 630 CFL GT2 3GB (1050MHz)Audio: Realtek ALC892Monitor: DELL S2409W, Network: Intel I219-V
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xea - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected
Core i5 9400F Processor: Intel Core i5-9400F @ 4.10GHz (6 Cores)Motherboard: MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS)Chipset: Intel Cannon Lake PCHMemory: 16GBDisk: 256GB SAMSUNG MZVPW256HEGL-000H7 + 1000GBGraphics: MSI NVIDIA NV106 1GBAudio: Realtek ALC887-VDMonitor: MX279Network: Intel I219-V
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.2.2, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Core i3 10100 Processor: Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Motherboard: Gigabyte B460M DS3H (F2 BIOS)Chipset: Intel 10th Gen CoreMemory: 16GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0 + 1000GBGraphics: Gigabyte Intel UHD 630 CML GT2 3GB (1100MHz)Audio: Realtek ALC887-VD, Monitor: DELL S2409WNetwork: Realtek RTL8111/8168/8411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xea - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 3 3300X Processor: AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads)Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS)Chipset: AMD Starship/MatisseMemory: 8GBDisk: 256GB INTEL SSDPEKKW256G7 + 1000GBGraphics: AMD FirePro V3800 512MBAudio: AMD Redwood HDMI AudioMonitor: DELL S2409W, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 3.3 Mesa 21.2.2 (LLVM 12.0.1), Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 7 5700G Processor: AMD Ryzen 7 5700G @ 3.80GHz (8 Cores / 16 Threads)Motherboard: ASUS TUF GAMING B550M-PLUS (WI-FI) (2423 BIOS)Chipset: AMD Renoir/CezanneMemory: 16GBDisk: 1000GB Samsung SSD 980 PRO 1TB + 1000GBGraphics: ASUS AMD Cezanne 512MB (2000/1800MHz)Audio: AMD Renoir Radeon HD AudioMonitor: MX279Network: Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2 (LLVM 12.0.1), Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000cJava Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Xmrig Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org H/s, More Is Better Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2K 4K 6K 8K 10K SE +/- 95.81, N = 3 SE +/- 45.80, N = 3 SE +/- 36.22, N = 3 SE +/- 7.14, N = 3 SE +/- 6.48, N = 3 SE +/- 13.29, N = 3 SE +/- 0.78, N = 3 SE +/- 39.61, N = 3 SE +/- 12.90, N = 3 10428.9 7375.9 6230.7 3264.8 2955.0 2647.5 1441.4 4343.3 5001.1 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.org H/s, More Is Better Xmrig 6.12.1 Variant: Monero - Hash Count: 1M Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1300 2600 3900 5200 6500 SE +/- 48.35, N = 3 SE +/- 1.47, N = 3 SE +/- 4.62, N = 3 SE +/- 2.40, N = 3 SE +/- 10.40, N = 3 SE +/- 21.13, N = 9 SE +/- 8.67, N = 3 SE +/- 18.24, N = 3 SE +/- 21.26, N = 3 6125.9 3411.0 3807.9 1856.2 1931.0 1547.9 980.4 2664.4 2464.6 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. 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.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1.2M 2.4M 3.6M 4.8M 6M SE +/- 1232.94, N = 3 SE +/- 1136.62, N = 3 SE +/- 684.13, N = 3 SE +/- 17585.35, N = 3 SE +/- 205.26, N = 3 SE +/- 281.48, N = 3 SE +/- 1571.22, N = 3 SE +/- 190.55, N = 3 SE +/- 2529.17, N = 3 1135970 1816837 2921880 3118430 4169570 4074700 5724263 4762997 2373027
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 60K 120K 180K 240K 300K SE +/- 43.51, N = 3 SE +/- 34.07, N = 3 SE +/- 30.67, N = 3 SE +/- 1839.99, N = 3 SE +/- 106.56, N = 3 SE +/- 3.84, N = 3 SE +/- 15.07, N = 3 SE +/- 16.71, N = 3 SE +/- 100.64, N = 3 58896.4 95135.7 150209.0 158491.0 219756.0 214770.0 296109.0 245753.0 123008.0
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1.4M 2.8M 4.2M 5.6M 7M SE +/- 923.59, N = 3 SE +/- 382.23, N = 3 SE +/- 361.66, N = 3 SE +/- 12696.85, N = 3 SE +/- 126.62, N = 3 SE +/- 458.34, N = 3 SE +/- 29.06, N = 3 SE +/- 578.51, N = 3 SE +/- 1905.45, N = 3 1263303 2027390 3229520 3421080 4611930 4508767 6325157 5259673 2638347
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 90K 180K 270K 360K 450K SE +/- 57.01, N = 3 SE +/- 61.36, N = 3 SE +/- 35.45, N = 3 SE +/- 1950.13, N = 3 SE +/- 8.74, N = 3 SE +/- 15.86, N = 3 SE +/- 24.84, N = 3 SE +/- 532.59, N = 3 SE +/- 462.30, N = 3 87910.3 140924.0 221127.0 229350.0 320776.0 313595.0 439005.0 363563.0 182200.0
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 60K 120K 180K 240K 300K SE +/- 33.91, N = 3 SE +/- 34.15, N = 3 SE +/- 17.37, N = 3 SE +/- 1322.94, N = 3 SE +/- 3.18, N = 3 SE +/- 82.74, N = 3 SE +/- 33.47, N = 3 SE +/- 60.96, N = 3 SE +/- 42.47, N = 3 62049.1 101071.0 158767.0 160872.0 224985.0 220048.0 301107.0 253431.0 131843.0
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 3.2 Preset: Exhaustive Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.72, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 33.47 50.96 67.21 70.64 115.32 112.64 129.54 160.63 60.73 1. (CXX) g++ options: -O3 -flto -pthread
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 110 220 330 440 550 109.01 161.78 223.18 272.35 423.93 413.19 509.29 435.87 219.25
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 21.10.9 Sample Rate: 480000 - Buffer Size: 1024 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.019777, N = 3 SE +/- 0.006987, N = 3 SE +/- 0.001428, N = 3 SE +/- 0.015181, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.000725, N = 3 SE +/- 0.000542, N = 3 SE +/- 0.003150, N = 3 SE +/- 0.005811, N = 3 6.871543 4.799675 3.012189 2.641410 1.881843 1.927793 1.505559 1.483259 3.410575 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.035, N = 3 SE +/- 0.039, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.010, N = 3 8.378 5.241 3.659 3.222 1.901 1.914 1.855 2.168 4.433
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5 Mode: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 4K 8K 12K 16K 20K SE +/- 52.31, N = 3 SE +/- 9.91, N = 3 SE +/- 13.43, N = 3 SE +/- 86.18, N = 6 SE +/- 34.20, N = 3 SE +/- 30.05, N = 3 SE +/- 7.62, N = 3 SE +/- 24.32, N = 3 SE +/- 6.44, N = 3 20161 13114 9657 8449 4917 4943 4480 5257 11219
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.0 Blend File: BMW27 - Compute: CPU-Only Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 70 140 210 280 350 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 2.21, N = 3 SE +/- 0.80, N = 3 SE +/- 0.96, N = 3 SE +/- 0.78, N = 3 SE +/- 0.76, N = 3 SE +/- 0.33, N = 3 74.66 116.27 165.46 191.50 308.14 302.54 329.87 294.24 138.99
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 21.10.9 Sample Rate: 480000 - Buffer Size: 512 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.008920, N = 3 SE +/- 0.001307, N = 3 SE +/- 0.003403, N = 3 SE +/- 0.012857, N = 3 SE +/- 0.002424, N = 3 SE +/- 0.003119, N = 3 SE +/- 0.001615, N = 3 SE +/- 0.014928, N = 3 SE +/- 0.001115, N = 3 6.366737 4.641808 2.950076 2.579806 1.838658 1.879602 1.478250 1.448287 3.314454 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 160K 320K 480K 640K 800K SE +/- 432.64, N = 3 SE +/- 1410.86, N = 3 SE +/- 1423.21, N = 3 SE +/- 105.14, N = 3 SE +/- 156.59, N = 3 SE +/- 144.04, N = 3 SE +/- 2585.75, N = 3 SE +/- 2580.11, N = 3 SE +/- 850.81, N = 3 752115.82 460322.56 304747.31 316163.95 171977.55 175008.14 182213.98 192530.68 404446.83 1. (CC) gcc options: -O2 -lrt" -lrt
Timed MPlayer Compilation This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.42, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 17.98 26.55 37.17 44.62 67.26 67.35 78.09 60.70 34.21
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 50 100 150 200 250 SE +/- 1.92, N = 9 SE +/- 0.94, N = 8 SE +/- 0.57, N = 7 SE +/- 0.63, N = 6 SE +/- 0.59, N = 8 SE +/- 0.63, N = 6 SE +/- 0.62, N = 4 SE +/- 0.58, N = 5 SE +/- 0.75, N = 7 233.21 158.97 116.78 98.00 67.54 67.70 53.82 65.80 116.88 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Timed Node.js Compilation This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 17.3 Time To Compile Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 300 600 900 1200 1500 SE +/- 0.05, N = 3 SE +/- 1.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.51, N = 3 SE +/- 0.21, N = 3 SE +/- 0.11, N = 3 SE +/- 0.73, N = 3 SE +/- 0.18, N = 3 316.87 451.83 567.76 781.44 1110.59 1146.09 1364.97 949.09 619.66
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. 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.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 70K 140K 210K 280K 350K SE +/- 927.60, N = 3 SE +/- 216.29, N = 3 SE +/- 105.69, N = 3 SE +/- 2189.33, N = 4 SE +/- 13.20, N = 3 SE +/- 45.71, N = 3 SE +/- 9.17, N = 3 SE +/- 324.86, N = 3 SE +/- 75.29, N = 3 73445.2 108980.0 182521.0 190488.0 256052.0 250608.0 311152.0 261519.0 154169.0
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs 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.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Crown Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.0715, N = 3 SE +/- 0.0463, N = 3 SE +/- 0.0108, N = 3 SE +/- 0.0748, N = 3 SE +/- 0.0269, N = 3 SE +/- 0.0011, N = 3 SE +/- 0.0163, N = 3 SE +/- 0.0248, N = 3 SE +/- 0.0154, N = 3 18.8273 12.6227 9.6674 7.9085 4.5266 4.4903 4.6382 5.7606 12.4453 MIN: 17.29 / MAX: 20.05 MIN: 12.03 / MAX: 13.01 MIN: 9.6 / MAX: 9.8 MIN: 7.67 / MAX: 8.47 MIN: 4.43 / MAX: 4.62 MIN: 4.47 / MAX: 4.55 MIN: 4.6 / MAX: 4.73 MIN: 5.67 / MAX: 5.88 MIN: 12.13 / MAX: 12.72
Timed LLVM Compilation This test times how long it takes to build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 13.0 Build System: Ninja Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 300 600 900 1200 1500 SE +/- 0.70, N = 3 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 0.25, N = 3 SE +/- 0.34, N = 3 SE +/- 0.38, N = 3 SE +/- 0.35, N = 3 358.47 517.31 664.57 853.33 1250.75 1287.64 1494.84 1124.63 695.52
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 100 200 300 400 500 SE +/- 0.58, N = 12 SE +/- 0.32, N = 11 SE +/- 0.12, N = 10 SE +/- 0.15, N = 9 SE +/- 0.14, N = 8 SE +/- 0.16, N = 8 SE +/- 0.08, N = 7 SE +/- 0.09, N = 8 SE +/- 0.65, N = 9 475.92 330.12 250.22 187.49 141.64 138.30 114.44 141.05 229.41 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.0 Blend File: Fishy Cat - Compute: CPU-Only Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 100 200 300 400 500 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.79, N = 3 SE +/- 0.76, N = 3 SE +/- 1.00, N = 3 SE +/- 0.38, N = 3 SE +/- 0.59, N = 3 SE +/- 0.10, N = 3 110.24 170.37 238.65 263.93 447.20 441.75 457.99 389.77 184.39
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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 FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 28.57 18.87 15.79 15.23 7.94 7.94 7.87 6.91 15.38 MIN: 25.64 MIN: 17.24 / MAX: 19.23 MIN: 15.63 / MAX: 15.87 MIN: 13.16 / MAX: 15.63 MIN: 7.75 / MAX: 8 MIN: 6.67 / MAX: 8 MIN: 7.75 / MAX: 7.94 MIN: 6.21 / MAX: 7.35 MIN: 15.15 / MAX: 16.39
Stockfish This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 13 Total Time Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 10M 20M 30M 40M 50M SE +/- 478120.04, N = 6 SE +/- 113304.69, N = 3 SE +/- 43155.70, N = 3 SE +/- 199778.09, N = 6 SE +/- 75321.00, N = 3 SE +/- 138520.51, N = 3 SE +/- 8142.79, N = 3 SE +/- 46829.68, N = 3 SE +/- 277180.59, N = 6 47524146 30847674 20746943 19714200 12705452 12551932 11532499 13316671 28156151 -mbmi2 -mbmi2 -mbmi2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -mbmi2 -mbmi2 -mbmi2 -mbmi2 -mbmi2 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 6, Lossless Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 30 60 90 120 150 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.65, N = 3 SE +/- 0.03, N = 3 SE +/- 0.97, N = 5 SE +/- 0.38, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 29.36 42.77 65.46 72.44 97.26 95.99 120.97 104.51 50.91 1. (CXX) g++ options: -O3 -fPIC -lm
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X 4 8 12 16 20 SE +/- 0.02843, N = 15 SE +/- 0.01340, N = 7 SE +/- 0.05588, N = 6 SE +/- 0.05754, N = 5 SE +/- 0.03704, N = 4 SE +/- 0.01241, N = 4 SE +/- 0.01591, N = 4 SE +/- 0.01640, N = 4 3.72173 5.89450 7.79702 8.50054 15.24330 14.85800 14.74550 13.19220 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -ldl Scene: Non-Exponential
Ryzen 7 5700G: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tungsten: line 3: ./tungsten: No such file or directory
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 21.06 Test: Compression Rating Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 30K 60K 90K 120K 150K SE +/- 654.91, N = 3 SE +/- 224.01, N = 3 SE +/- 265.46, N = 3 SE +/- 312.20, N = 3 SE +/- 49.57, N = 3 SE +/- 25.21, N = 3 SE +/- 107.02, N = 3 SE +/- 83.84, N = 3 SE +/- 68.96, N = 3 119413 77975 65237 54435 35140 34124 29288 39967 67217 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 100 200 300 400 500 115.03 171.90 231.89 259.57 441.13 432.62 468.65 380.00 190.88
7-Zip Compression This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 21.06 Test: Decompression Rating Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20K 40K 60K 80K 100K SE +/- 528.22, N = 3 SE +/- 259.95, N = 3 SE +/- 149.29, N = 3 SE +/- 18.22, N = 3 SE +/- 3.93, N = 3 SE +/- 10.48, N = 3 SE +/- 102.49, N = 3 SE +/- 44.76, N = 3 SE +/- 20.88, N = 3 96602 61848 41194 44042 23776 24069 24502 30773 68622 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Timed Mesa Compilation This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 21.0 Time To Compile Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.36, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 25.86 35.85 46.56 62.93 86.11 88.01 104.17 80.21 51.74
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs 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.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Crown Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.1137, N = 3 SE +/- 0.0168, N = 3 SE +/- 0.0326, N = 3 SE +/- 0.0407, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0136, N = 3 SE +/- 0.0081, N = 3 SE +/- 0.0065, N = 3 SE +/- 0.0378, N = 3 20.1572 13.9300 11.4885 8.1741 5.0961 5.0293 5.3309 5.2847 11.5152 MIN: 18.48 / MAX: 21.53 MIN: 13.38 / MAX: 14.31 MIN: 11.36 / MAX: 11.74 MIN: 7.98 / MAX: 8.95 MIN: 5.06 / MAX: 5.17 MIN: 4.98 / MAX: 5.12 MIN: 5.29 / MAX: 5.43 MIN: 5.24 / MAX: 5.38 MIN: 11.25 / MAX: 11.81
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X 13 26 39 52 65 SE +/- 0.06, N = 4 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.33, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 14.39 21.87 31.33 31.57 57.60 56.34 54.21 45.04 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -ldl Scene: Hair
Ryzen 7 5700G: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tungsten: line 3: ./tungsten: No such file or directory
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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.14 Time To Compile Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 40 80 120 160 200 SE +/- 0.46, N = 3 SE +/- 0.83, N = 3 SE +/- 0.54, N = 3 SE +/- 0.31, N = 3 SE +/- 0.89, N = 3 SE +/- 0.96, N = 3 SE +/- 0.70, N = 3 SE +/- 0.39, N = 3 SE +/- 0.30, N = 3 47.85 68.59 92.08 108.49 171.76 172.38 191.51 150.40 86.68
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.6849 1.3698 2.0547 2.7396 3.4245 SE +/- 0.012, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 3.044 2.010 1.491 1.377 0.763 0.765 0.799 1.017 2.160
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X 5 10 15 20 25 SE +/- 0.04022, N = 9 SE +/- 0.01987, N = 6 SE +/- 0.01686, N = 5 SE +/- 0.08781, N = 5 SE +/- 0.01595, N = 3 SE +/- 0.00884, N = 3 SE +/- 0.03002, N = 3 SE +/- 0.01370, N = 3 4.98045 7.05919 9.93768 11.11940 17.83830 17.46130 19.80380 16.73890 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -ldl Scene: Volumetric Caustic
Ryzen 7 5700G: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tungsten: line 3: ./tungsten: No such file or directory
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 80 160 240 320 400 SE +/- 0.55, N = 11 SE +/- 0.23, N = 10 SE +/- 0.13, N = 9 SE +/- 0.14, N = 8 SE +/- 0.10, N = 7 SE +/- 0.09, N = 7 SE +/- 0.07, N = 6 SE +/- 0.12, N = 7 SE +/- 0.35, N = 8 381.57 229.13 201.16 142.86 127.81 122.60 96.87 117.59 161.12 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 80 160 240 320 400 SE +/- 10.38, N = 15 SE +/- 1.53, N = 15 SE +/- 1.18, N = 15 SE +/- 1.14, N = 9 SE +/- 0.95, N = 15 SE +/- 0.95, N = 15 SE +/- 0.67, N = 15 SE +/- 1.16, N = 15 SE +/- 1.17, N = 10 366.29 220.86 197.40 139.69 126.90 121.01 95.51 114.89 155.07 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Timed Wasmer Compilation This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 1.0.2 Time To Compile Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 30 60 90 120 150 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.28, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 32.82 43.37 54.83 68.58 101.99 103.66 121.83 96.19 59.20 1. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity 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 FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 8 16 24 32 40 SE +/- 0.00, N = 6 SE +/- 0.00, N = 5 SE +/- 0.08, N = 4 SE +/- 0.11, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 34.48 23.26 18.27 16.16 9.35 9.35 9.52 10.00 20.83 MIN: 32.26 / MAX: 35.71 MIN: 20 / MAX: 23.81 MIN: 18.18 / MAX: 18.52 MIN: 14.93 / MAX: 17.86 MIN: 9.26 / MAX: 9.43 MIN: 9.09 / MAX: 9.43 MIN: 8.85 / MAX: 9.62 MIN: 8.77 / MAX: 10.2 MIN: 20.41 / MAX: 21.28
Helsing Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Helsing 1.0-beta Digit Range: 12 digit Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.011, N = 9 SE +/- 0.014, N = 8 SE +/- 0.014, N = 7 SE +/- 0.013, N = 6 SE +/- 0.009, N = 5 SE +/- 0.012, N = 5 SE +/- 0.017, N = 5 SE +/- 0.021, N = 5 SE +/- 0.011, N = 7 3.070 4.664 6.156 6.665 10.571 10.407 10.857 11.162 5.540 1. (CC) gcc options: -O2 -pthread
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 60K 120K 180K 240K 300K SE +/- 64.72, N = 3 SE +/- 58.76, N = 3 SE +/- 5.04, N = 3 SE +/- 354.80, N = 3 SE +/- 221.16, N = 3 SE +/- 790.25, N = 5 SE +/- 253.73, N = 3 SE +/- 9.98, N = 3 SE +/- 66.28, N = 3 279362.3 180864.3 135401.2 137118.9 108892.3 110437.3 81709.8 78471.9 164935.1 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.6.0 Test: Boat - Acceleration: CPU-only Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.009, N = 9 SE +/- 0.013, N = 8 SE +/- 0.006, N = 7 SE +/- 0.007, N = 6 SE +/- 0.012, N = 5 SE +/- 0.035, N = 5 SE +/- 0.020, N = 5 SE +/- 0.007, N = 5 SE +/- 0.014, N = 7 2.690 3.880 5.283 5.514 7.380 7.497 9.562 7.797 5.117
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 900 1800 2700 3600 4500 SE +/- 16.47, N = 3 SE +/- 0.87, N = 3 SE +/- 0.30, N = 3 SE +/- 23.87, N = 3 SE +/- 0.15, N = 3 SE +/- 17.58, N = 5 SE +/- 5.12, N = 3 SE +/- 0.30, N = 3 SE +/- 0.72, N = 3 4284.4 2785.9 2092.3 2176.7 1684.2 1705.3 1239.9 1212.6 2543.0 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 300 600 900 1200 1500 SE +/- 14.13, N = 4 SE +/- 8.95, N = 3 SE +/- 4.41, N = 3 SE +/- 4.06, N = 9 SE +/- 8.41, N = 3 SE +/- 8.84, N = 3 SE +/- 2.19, N = 3 SE +/- 6.17, N = 3 SE +/- 6.61, N = 4 1135 959 754 352 1212 1033 735 600 642 1. (CXX) g++ options: -flto -pthread
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.10 Model: yolov4 - Device: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 150 300 450 600 750 SE +/- 1.92, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 3.24, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.76, N = 3 SE +/- 11.90, N = 9 SE +/- 0.29, N = 3 672 458 302 332 233 222 246 204 295 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 20.44 15.31 12.93 11.25 7.48 7.65 6.31 6.81 10.27
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.6.0 Test: Server Room - Acceleration: CPU-only Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.005, N = 9 SE +/- 0.003, N = 9 SE +/- 0.002, N = 8 SE +/- 0.038, N = 15 SE +/- 0.002, N = 6 SE +/- 0.008, N = 6 SE +/- 0.003, N = 6 SE +/- 0.008, N = 6 SE +/- 0.011, N = 7 2.019 2.781 3.361 4.412 4.875 5.178 6.525 5.195 4.147
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 24.66 18.61 15.83 13.83 9.38 9.51 7.65 8.75 12.59
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.25, N = 6 SE +/- 0.33, N = 6 SE +/- 0.25, N = 4 SE +/- 0.39, N = 4 SE +/- 0.25, N = 10 SE +/- 0.31, N = 7 SE +/- 0.31, N = 5 SE +/- 0.43, N = 4 SE +/- 0.37, N = 5 93.45 75.55 51.58 48.44 32.97 33.16 29.41 34.84 63.62 1. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
Primesieve Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 7.7 1e12 Prime Number Generation Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 12 24 36 48 60 SE +/- 0.05, N = 4 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.30, N = 4 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 16.34 24.25 29.81 26.55 39.30 38.41 51.14 43.96 21.33 1. (CXX) g++ options: -O3
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 400 800 1200 1600 2000 SE +/- 11.46, N = 3 SE +/- 14.15, N = 6 SE +/- 15.72, N = 3 SE +/- 7.97, N = 5 SE +/- 15.98, N = 3 SE +/- 5.51, N = 3 SE +/- 4.93, N = 3 SE +/- 2.60, N = 3 SE +/- 6.64, N = 3 1841 1449 1415 751 1138 954 594 589 599 1. (CXX) g++ options: -flto -pthread
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.2 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.52, N = 5 SE +/- 0.15, N = 5 SE +/- 0.02, N = 5 SE +/- 0.03, N = 4 SE +/- 0.29, N = 4 SE +/- 0.05, N = 4 SE +/- 0.04, N = 3 SE +/- 0.31, N = 3 SE +/- 0.13, N = 4 76.65 76.88 66.61 54.93 24.67 39.40 32.43 30.80 56.34 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.6.0 Test: Masskrug - Acceleration: CPU-only Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.007, N = 9 SE +/- 0.009, N = 8 SE +/- 0.003, N = 7 SE +/- 0.004, N = 6 SE +/- 0.007, N = 5 SE +/- 0.009, N = 5 SE +/- 0.006, N = 5 SE +/- 0.012, N = 5 SE +/- 0.006, N = 7 2.894 3.912 4.468 5.646 7.221 7.747 8.912 7.501 5.209
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.040, N = 10 SE +/- 0.035, N = 9 SE +/- 0.012, N = 9 SE +/- 0.015, N = 8 SE +/- 0.007, N = 8 SE +/- 0.019, N = 8 SE +/- 0.004, N = 7 SE +/- 0.014, N = 7 SE +/- 0.018, N = 9 9.564 5.867 6.730 6.060 4.381 4.377 3.195 3.387 6.969 1. (CXX) g++ options: -O3 -lm
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 20210720 Target: CPU - Model: vgg16 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.36, N = 15 SE +/- 0.30, N = 15 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 32.63 35.55 35.18 91.74 69.70 81.79 97.35 64.34 69.45 MIN: 29.92 / MAX: 55.47 MIN: 34 / MAX: 40.19 MIN: 35.02 / MAX: 41.41 MIN: 91.4 / MAX: 98.33 MIN: 69.39 / MAX: 74.06 MIN: 81.48 / MAX: 86.88 MIN: 97.01 / MAX: 106.3 MIN: 63.54 / MAX: 130.33 MIN: 68.58 / MAX: 79.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.2 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 12.07 10.56 8.76 6.99 4.89 5.23 4.06 5.52 8.54 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.2 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 15 30 45 60 75 SE +/- 0.32, N = 5 SE +/- 0.23, N = 5 SE +/- 0.04, N = 5 SE +/- 0.02, N = 4 SE +/- 0.21, N = 7 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.25, N = 3 SE +/- 0.11, N = 4 68.37 68.40 60.36 49.52 23.28 36.13 29.06 31.17 51.58 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
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 20210720 Target: CPU - Model: mobilenet Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 7 14 21 28 35 SE +/- 0.28, N = 15 SE +/- 0.31, N = 15 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 10.90 12.63 9.96 18.88 19.30 20.96 28.46 17.20 15.18 MIN: 9.22 / MAX: 13.46 MIN: 10.87 / MAX: 14.26 MIN: 9.86 / MAX: 10.4 MIN: 18.61 / MAX: 26.33 MIN: 19.08 / MAX: 28.59 MIN: 20.82 / MAX: 22.12 MIN: 28.21 / MAX: 28.96 MIN: 16.8 / MAX: 79.68 MIN: 14.72 / MAX: 23.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.2 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 12 24 36 48 60 SE +/- 0.37, N = 4 SE +/- 0.13, N = 4 SE +/- 0.02, N = 4 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 4 49.61 51.20 43.60 36.60 18.07 26.05 21.03 25.49 40.17 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.10 Model: fcn-resnet101-11 - Device: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 0.29, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 3.26, N = 12 SE +/- 4.56, N = 12 98 67 43 67 36 35 45 37 58 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 6 12 18 24 30 SE +/- 0.180, N = 10 SE +/- 0.197, N = 3 SE +/- 0.066, N = 3 SE +/- 0.174, N = 3 SE +/- 0.005, N = 3 SE +/- 0.069, N = 3 SE +/- 0.070, N = 3 SE +/- 0.017, N = 3 SE +/- 0.157, N = 3 23.631 19.212 16.594 14.830 8.910 9.045 8.498 9.919 16.435 1. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
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 20210720 Target: CPU-v2-v2 - Model: mobilenet-v2 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.10, N = 15 SE +/- 0.11, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.30 3.89 2.65 5.29 5.14 5.67 7.33 4.04 3.83 MIN: 2.71 / MAX: 5.56 MIN: 3.04 / MAX: 12.07 MIN: 2.59 / MAX: 3.43 MIN: 5.08 / MAX: 5.98 MIN: 5.07 / MAX: 5.98 MIN: 5.49 / MAX: 15.02 MIN: 7.21 / MAX: 8.36 MIN: 3.95 / MAX: 4.89 MIN: 3.71 / MAX: 4.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 10 20 30 40 50 SE +/- 0.52, N = 4 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 43.7 35.9 35.8 29.5 22.9 19.9 16.2 20.6 32.0 1. (CC) gcc options: -O3 -pthread -lz -llzma
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 3.2 Preset: Thorough Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 4 8 12 16 20 SE +/- 0.0080, N = 6 SE +/- 0.0052, N = 5 SE +/- 0.0015, N = 5 SE +/- 0.0174, N = 5 SE +/- 0.0063, N = 3 SE +/- 0.0057, N = 3 SE +/- 0.0030, N = 3 SE +/- 0.0016, N = 3 SE +/- 0.0033, N = 5 6.9266 8.9876 7.0855 7.0393 12.7817 12.5039 14.2021 17.6462 6.6652 1. (CXX) g++ options: -O3 -flto -pthread
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 20210720 Target: CPU - Model: efficientnet-b0 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.15, N = 15 SE +/- 0.16, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 5.08 6.08 3.71 6.67 6.86 7.39 9.79 6.33 5.00 MIN: 4.26 / MAX: 6.52 MIN: 4.84 / MAX: 13.57 MIN: 3.66 / MAX: 4.5 MIN: 6.52 / MAX: 7.52 MIN: 6.8 / MAX: 7.03 MIN: 7.32 / MAX: 7.91 MIN: 9.68 / MAX: 10.05 MIN: 6.15 / MAX: 7.07 MIN: 4.83 / MAX: 7.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 9 18 27 36 45 SE +/- 0.31, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 39.0 32.9 27.0 24.4 18.0 16.0 15.1 17.5 28.4 1. (CC) gcc options: -O3 -pthread -lz -llzma
Timed GDB GNU Debugger Compilation This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 10.2 Time To Compile Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.61, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 SE +/- 0.52, N = 3 SE +/- 0.48, N = 3 SE +/- 0.38, N = 3 SE +/- 0.41, N = 3 44.79 52.29 61.60 72.18 102.73 104.10 114.89 89.07 61.23
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 36.66 45.70 51.28 61.83 81.84 82.05 93.85 76.78 60.88 1. RawTherapee, version 5.8, command line.
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 20210720 Target: CPU-v3-v3 - Model: mobilenet-v3 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.08, N = 15 SE +/- 0.07, N = 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 2.78 3.20 2.42 4.06 4.16 4.46 6.00 3.71 3.21 MIN: 2.4 / MAX: 10.46 MIN: 2.67 / MAX: 4.5 MIN: 2.38 / MAX: 3.21 MIN: 3.95 / MAX: 4.78 MIN: 4.11 / MAX: 5.04 MIN: 4.34 / MAX: 12.32 MIN: 5.9 / MAX: 7.05 MIN: 3.55 / MAX: 62.26 MIN: 3.09 / MAX: 3.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 6 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.026, N = 6 SE +/- 0.032, N = 5 SE +/- 0.033, N = 4 SE +/- 0.011, N = 4 SE +/- 0.095, N = 3 SE +/- 0.056, N = 3 SE +/- 0.087, N = 3 SE +/- 0.086, N = 3 SE +/- 0.015, N = 5 8.247 9.867 12.332 12.771 19.735 19.239 20.370 17.774 11.434 1. (CXX) g++ options: -O3 -fPIC -lm
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: DenseNet Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 900 1800 2700 3600 4500 SE +/- 3.43, N = 3 SE +/- 5.94, N = 3 SE +/- 1.01, N = 3 SE +/- 2.25, N = 3 SE +/- 13.58, N = 3 SE +/- 8.31, N = 3 SE +/- 4.42, N = 3 SE +/- 3.31, N = 3 SE +/- 1.49, N = 3 1733.72 1974.00 2369.35 3069.09 4263.13 4156.36 4163.43 3433.26 2774.51 MIN: 1690.5 / MAX: 1836.99 MIN: 1895.01 / MAX: 2094.31 MIN: 2323.03 / MAX: 2425.47 MIN: 3030.29 / MAX: 3145.18 MIN: 4159.44 / MAX: 4438.71 MIN: 4063.47 / MAX: 4299.7 MIN: 4140.74 / MAX: 4290.56 MIN: 3360.22 / MAX: 3517.39 MIN: 2740.22 / MAX: 2848.41 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 13 26 39 52 65 SE +/- 0.44, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 57.73 52.79 45.27 42.77 23.70 24.06 27.70 30.03 50.02 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
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 20210720 Target: CPU - Model: resnet50 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 9 18 27 36 45 SE +/- 0.04, N = 15 SE +/- 0.14, N = 15 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.19, N = 3 18.23 19.54 16.74 33.49 30.88 33.24 40.44 28.91 23.98 MIN: 17.75 / MAX: 19.32 MIN: 17.46 / MAX: 24.68 MIN: 16.59 / MAX: 17.05 MIN: 32.99 / MAX: 34.12 MIN: 30.63 / MAX: 31.2 MIN: 33 / MAX: 36.99 MIN: 40.25 / MAX: 54.24 MIN: 28.53 / MAX: 94.85 MIN: 23.37 / MAX: 32.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.2 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 4 8 12 16 20 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 6 SE +/- 0.05, N = 15 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 14.54 13.15 11.15 10.11 6.55 7.05 6.07 7.10 10.12 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
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 20210720 Target: CPU - Model: yolov4-tiny Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 9 18 27 36 45 SE +/- 0.24, N = 15 SE +/- 0.27, N = 15 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.58, N = 3 16.24 17.02 16.68 29.41 29.46 31.85 38.60 26.37 24.11 MIN: 14.78 / MAX: 32.95 MIN: 15.52 / MAX: 20.89 MIN: 16.53 / MAX: 17.3 MIN: 29.09 / MAX: 37.13 MIN: 29.3 / MAX: 29.79 MIN: 31.71 / MAX: 32.25 MIN: 38.46 / MAX: 46.54 MIN: 25.97 / MAX: 88.43 MIN: 22.76 / MAX: 25.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
XZ Compression This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 12 24 36 48 60 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.39, N = 3 SE +/- 0.32, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.44, N = 3 21.71 25.77 33.01 36.52 47.04 51.33 49.57 46.19 31.13 1. (CC) gcc options: -fvisibility=hidden -O2
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 Core i9 12900K Core i5 12600K Core i5 12400 11K 22K 33K 44K 55K SE +/- 213.61, N = 3 SE +/- 347.90, N = 3 SE +/- 242.86, N = 15 50983.86 32917.19 22304.51 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -ldl -lm -pthread
Core i5 11600K: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Core i5 8400: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Core i5 9400F: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Core i3 10100: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Ryzen 3 3300X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Ryzen 7 5700G: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 900 1800 2700 3600 4500 SE +/- 14.73, N = 10 SE +/- 18.22, N = 20 SE +/- 12.86, N = 9 SE +/- 13.92, N = 8 SE +/- 20.29, N = 7 SE +/- 18.64, N = 7 SE +/- 36.10, N = 7 SE +/- 26.94, N = 7 SE +/- 28.62, N = 8 1900 2184 2344 3145 4010 3999 4342 4296 3338
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X 9 18 27 36 45 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 18.29 21.70 25.83 29.44 39.44 39.86 41.39 33.74 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=skylake -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -ldl Scene: Water Caustic
Ryzen 7 5700G: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tungsten: line 3: ./tungsten: No such file or directory
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.10 Model: shufflenet-v2-10 - Device: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 10K 20K 30K 40K 50K SE +/- 194.60, N = 3 SE +/- 43.00, N = 3 SE +/- 108.93, N = 3 SE +/- 60.61, N = 3 SE +/- 0.67, N = 3 SE +/- 82.56, N = 3 SE +/- 47.03, N = 3 SE +/- 56.96, N = 3 SE +/- 244.37, N = 3 46690 39771 29274 30336 23537 23649 26824 20731 28359 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 200 400 600 800 1000 SE +/- 0.87, N = 4 SE +/- 0.50, N = 4 SE +/- 0.85, N = 4 SE +/- 0.95, N = 4 SE +/- 1.15, N = 3 SE +/- 2.03, N = 3 SE +/- 1.15, N = 3 SE +/- 9.96, N = 3 SE +/- 3.00, N = 3 499 528 590 692 1120 1095 951 962 760
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 70 140 210 280 350 SE +/- 0.51, N = 5 SE +/- 0.18, N = 5 SE +/- 0.13, N = 4 SE +/- 0.33, N = 3 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 4 153.15 161.01 180.98 256.62 339.47 333.39 309.97 240.59 218.13 MIN: 149.14 / MAX: 158.84 MIN: 157.47 / MAX: 164.46 MIN: 176.1 / MAX: 183.84 MIN: 254.45 / MAX: 259.91 MIN: 337.97 / MAX: 341.05 MIN: 331.4 / MAX: 336.66 MIN: 308.55 / MAX: 311.1 MIN: 239.2 / MAX: 253.31 MIN: 217.82 / MAX: 218.62 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
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 20210720 Target: CPU - Model: squeezenet_ssd Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 7 14 21 28 35 SE +/- 0.10, N = 15 SE +/- 0.75, N = 15 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 13.35 17.09 14.93 21.32 27.20 28.30 29.30 24.88 18.32 MIN: 12.43 / MAX: 33.5 MIN: 13.76 / MAX: 56.35 MIN: 14.8 / MAX: 21.08 MIN: 20.76 / MAX: 106.81 MIN: 26.96 / MAX: 27.39 MIN: 28.03 / MAX: 35.26 MIN: 28.93 / MAX: 29.78 MIN: 24.3 / MAX: 91.65 MIN: 17.9 / MAX: 19.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: mnasnet Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1.179 2.358 3.537 4.716 5.895 SE +/- 0.09, N = 13 SE +/- 0.09, N = 14 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 3.00 3.45 2.41 3.40 3.92 4.06 5.24 3.67 2.99 MIN: 2.51 / MAX: 10.7 MIN: 2.88 / MAX: 10.91 MIN: 2.37 / MAX: 3.19 MIN: 3.3 / MAX: 4.29 MIN: 3.83 / MAX: 4.82 MIN: 3.97 / MAX: 14.48 MIN: 5.18 / MAX: 5.46 MIN: 3.54 / MAX: 4.22 MIN: 2.87 / MAX: 3.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: alexnet Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 4 8 12 16 20 SE +/- 0.04, N = 15 SE +/- 0.04, N = 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 8.97 9.20 8.21 17.76 13.00 14.38 15.97 13.83 13.98 MIN: 8.76 / MAX: 15.98 MIN: 9.11 / MAX: 69.46 MIN: 8.14 / MAX: 9.36 MIN: 17.67 / MAX: 18.16 MIN: 12.94 / MAX: 13.18 MIN: 14.25 / MAX: 24.11 MIN: 15.74 / MAX: 16.26 MIN: 13.62 / MAX: 77 MIN: 13.4 / MAX: 14.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: resnet18 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.04, N = 15 SE +/- 0.17, N = 15 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.62, N = 3 10.83 10.97 9.68 19.54 16.96 18.54 20.84 15.11 15.09 MIN: 10.44 / MAX: 17.26 MIN: 9.31 / MAX: 19.91 MIN: 9.58 / MAX: 10.16 MIN: 19.36 / MAX: 27.34 MIN: 16.87 / MAX: 17.14 MIN: 18.42 / MAX: 25.89 MIN: 20.72 / MAX: 21.06 MIN: 15.01 / MAX: 16.6 MIN: 14.34 / MAX: 16.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: googlenet Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.32, N = 15 SE +/- 0.22, N = 15 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.25, N = 3 SE +/- 0.44, N = 3 9.77 11.10 9.14 15.69 16.05 17.14 19.53 14.20 13.14 MIN: 7.94 / MAX: 16.95 MIN: 8.95 / MAX: 16.88 MIN: 9.01 / MAX: 9.4 MIN: 15.5 / MAX: 16.15 MIN: 15.9 / MAX: 16.27 MIN: 16.98 / MAX: 18.31 MIN: 19.33 / MAX: 20.06 MIN: 13.6 / MAX: 77.96 MIN: 12.54 / MAX: 14.82 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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, More Is Better srsRAN 21.10 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 30 60 90 120 150 SE +/- 0.05, N = 4 SE +/- 0.19, N = 4 SE +/- 0.23, N = 3 SE +/- 0.09, N = 4 SE +/- 0.23, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.47, N = 3 92.4 86.5 78.4 113.4 53.2 55.0 57.9 60.5 76.3 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v2 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.10, N = 9 SE +/- 0.03, N = 9 SE +/- 0.03, N = 9 SE +/- 0.24, N = 8 SE +/- 0.03, N = 7 SE +/- 0.29, N = 7 SE +/- 0.06, N = 7 SE +/- 0.27, N = 7 SE +/- 0.08, N = 8 40.81 43.17 48.18 53.36 85.04 83.96 74.65 69.94 53.90 MIN: 39.54 / MAX: 42.45 MIN: 42.1 / MAX: 44.39 MIN: 46.96 / MAX: 49.11 MIN: 52.02 / MAX: 55.15 MIN: 84.69 / MAX: 85.77 MIN: 83.12 / MAX: 87.16 MIN: 74.18 / MAX: 75.25 MIN: 68.3 / MAX: 79.6 MIN: 53.51 / MAX: 54.47 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 14 28 42 56 70 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 SE +/- 0.25, N = 3 31.21 34.25 40.04 41.04 64.47 62.95 63.36 55.12 38.26
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 1.0 Throughput Test: DistinctUserID Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.06, N = 11 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 15 7.64 7.30 6.56 5.93 3.72 3.78 4.04 4.39 5.47 1. (CXX) g++ options: -O3
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 9.32 8.80 8.16 5.85 5.62 4.54 5.01 5.99 7.00
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Google Chrome Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20K 40K 60K 80K 100K SE +/- 645.28, N = 3 SE +/- 162.20, N = 3 SE +/- 274.81, N = 3 SE +/- 270.52, N = 3 SE +/- 104.51, N = 3 SE +/- 60.96, N = 3 SE +/- 421.76, N = 3 SE +/- 116.05, N = 3 SE +/- 163.68, N = 3 99096 94330 83897 75068 48338 48946 53629 59075 75943 1. chrome 96.0.4664.110
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.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.0801 0.1602 0.2403 0.3204 0.4005 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 4 SE +/- 0.000, N = 4 0.174 0.184 0.195 0.213 0.356 0.343 0.330 0.313 0.278
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 200 400 600 800 1000 SE +/- 1.51, N = 3 SE +/- 0.43, N = 3 SE +/- 1.75, N = 3 SE +/- 2.02, N = 3 SE +/- 2.13, N = 3 SE +/- 1.89, N = 3 SE +/- 1.13, N = 3 SE +/- 1.71, N = 3 SE +/- 0.99, N = 3 429.1 456.6 507.1 536.6 876.8 862.6 758.6 628.5 508.7 1. chrome 96.0.4664.110
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 300K 600K 900K 1200K 1500K SE +/- 5465.24, N = 4 SE +/- 2958.80, N = 4 SE +/- 1357.44, N = 4 SE +/- 3447.76, N = 3 SE +/- 881.56, N = 3 SE +/- 1081.79, N = 3 SE +/- 595.98, N = 3 SE +/- 3058.44, N = 3 SE +/- 2302.38, N = 3 1422068 1345390 1211698 1157330 710322 724916 827829 754471 902784
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.0 Algorithm: SHA256 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5000M 10000M 15000M 20000M 25000M SE +/- 12372809.64, N = 3 SE +/- 18429785.49, N = 3 SE +/- 15500411.55, N = 3 SE +/- 71670732.08, N = 3 SE +/- 230354.78, N = 3 SE +/- 149860.53, N = 3 SE +/- 238326.30, N = 3 SE +/- 6264661.26, N = 3 SE +/- 15833242.57, N = 3 24194561627 14784567497 8761398953 6961705463 1945793213 1992066567 1430848187 5737760317 14094024590 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.3562 0.7124 1.0686 1.4248 1.781 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.797 0.829 0.928 1.031 1.583 1.568 1.428 1.158 1.032
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: MobileNet v2 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 80 160 240 320 400 SE +/- 0.36, N = 4 SE +/- 1.14, N = 4 SE +/- 0.27, N = 4 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.74, N = 3 SE +/- 0.11, N = 3 178.68 193.89 211.29 268.74 354.73 345.78 339.06 274.77 244.86 MIN: 168.53 / MAX: 247.44 MIN: 180.78 / MAX: 254.16 MIN: 205.1 / MAX: 218.73 MIN: 266.31 / MAX: 274.11 MIN: 352.67 / MAX: 357.2 MIN: 343.82 / MAX: 355.1 MIN: 338.34 / MAX: 339.92 MIN: 271.34 / MAX: 299.71 MIN: 244.03 / MAX: 247.02 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: MobileNetV2_224 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.8944 1.7888 2.6832 3.5776 4.472 SE +/- 0.013, N = 3 SE +/- 0.029, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 15 SE +/- 0.016, N = 3 SE +/- 0.017, N = 3 SE +/- 0.007, N = 3 SE +/- 0.028, N = 3 SE +/- 0.036, N = 3 2.442 2.259 2.020 2.472 2.855 3.027 3.975 2.741 2.409 MIN: 2.39 / MAX: 9.39 MIN: 2.21 / MAX: 3.04 MIN: 1.99 / MAX: 9.3 MIN: 2.38 / MAX: 3.64 MIN: 2.74 / MAX: 3.68 MIN: 2.85 / MAX: 11.15 MIN: 3.92 / MAX: 5.02 MIN: 2.69 / MAX: 43.03 MIN: 2.31 / MAX: 3.24 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 70 140 210 280 350 SE +/- 1.76, N = 3 SE +/- 2.03, N = 3 SE +/- 1.33, N = 3 SE +/- 2.40, N = 3 SE +/- 0.67, N = 3 SE +/- 2.00, N = 3 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 0.58, N = 3 303 290 262 221 154 158 156 187 218 1. chrome 96.0.4664.110
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 14 28 42 56 70 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 64.30 62.60 56.20 49.60 32.70 33.10 34.57 43.23 47.40 1. chrome 96.0.4664.110
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 1.0 Throughput Test: LargeRandom Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.3893 0.7786 1.1679 1.5572 1.9465 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.73 1.62 1.46 1.28 0.88 0.88 0.94 1.01 1.27 1. (CXX) g++ options: -O3
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 8 16 24 32 40 SE +/- 0.05, N = 6 SE +/- 0.09, N = 6 SE +/- 0.04, N = 6 SE +/- 0.16, N = 6 SE +/- 0.06, N = 6 SE +/- 0.19, N = 6 SE +/- 0.12, N = 6 SE +/- 0.19, N = 6 SE +/- 0.11, N = 6 17.97 18.97 21.01 25.03 35.24 34.65 32.31 27.62 23.09 1. chrome 96.0.4664.110
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 1.0 Throughput Test: PartialTweets Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 6.61 6.23 5.57 5.24 3.39 3.47 3.59 3.91 4.70 1. (CXX) g++ options: -O3
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.
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 50 100 150 200 250 SE +/- 1.44, N = 3 SE +/- 0.57, N = 3 SE +/- 0.40, N = 3 SE +/- 1.90, N = 3 SE +/- 0.36, N = 3 SE +/- 2.61, N = 3 SE +/- 2.99, N = 3 SE +/- 0.08, N = 3 SE +/- 0.52, N = 3 109.51 118.61 129.84 152.37 201.05 200.21 212.11 182.91 142.73
simdjson This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GB/s, More Is Better simdjson 1.0 Throughput Test: Kostya Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1.0688 2.1376 3.2064 4.2752 5.344 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4.75 4.56 4.10 3.71 2.49 2.46 2.60 2.77 3.67 1. (CXX) g++ options: -O3
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 21.10 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 40 80 120 160 200 SE +/- 0.25, N = 4 SE +/- 0.94, N = 4 SE +/- 0.26, N = 3 SE +/- 0.18, N = 4 SE +/- 0.28, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 201.8 188.6 169.0 173.8 105.9 109.4 116.0 106.2 155.1 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
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.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.0585 0.117 0.1755 0.234 0.2925 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 4 SE +/- 0.000, N = 4 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.137 0.144 0.159 0.183 0.260 0.255 0.244 0.244 0.193
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.5.4 Test: Object Detection Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 13K 26K 39K 52K 65K SE +/- 1178.15, N = 12 SE +/- 563.33, N = 15 SE +/- 383.94, N = 4 SE +/- 412.47, N = 15 SE +/- 158.56, N = 3 SE +/- 343.10, N = 3 SE +/- 424.39, N = 15 SE +/- 435.22, N = 8 SE +/- 845.01, N = 3 50173 52105 31560 35236 42641 41734 46684 51745 59877 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -fPIC -shared 1. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.24 Test: resize Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.045, N = 8 SE +/- 0.048, N = 7 SE +/- 0.060, N = 6 SE +/- 0.048, N = 15 SE +/- 0.060, N = 15 SE +/- 0.059, N = 15 SE +/- 0.064, N = 15 SE +/- 0.060, N = 15 SE +/- 0.056, N = 15 5.208 5.403 5.990 6.496 9.868 9.727 9.694 8.448 7.178
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 60 120 180 240 300 SE +/- 2.27, N = 3 SE +/- 1.37, N = 3 SE +/- 1.07, N = 2 SE +/- 1.09, N = 3 SE +/- 0.40, N = 3 SE +/- 1.25, N = 3 SE +/- 0.88, N = 3 SE +/- 0.52, N = 3 SE +/- 1.50, N = 3 261.80 250.65 225.26 199.13 139.61 140.77 138.47 156.29 203.58 1. chrome 96.0.4664.110
rav1e Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.5 Speed: 10 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.075, N = 15 SE +/- 0.083, N = 15 SE +/- 0.078, N = 9 SE +/- 0.063, N = 5 SE +/- 0.065, N = 5 SE +/- 0.071, N = 5 SE +/- 0.067, N = 6 SE +/- 0.054, N = 11 SE +/- 0.063, N = 5 12.024 10.361 9.496 8.996 6.378 6.432 6.715 7.371 9.968
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: inception-v3 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 10 20 30 40 50 SE +/- 0.60, N = 3 SE +/- 1.43, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 15 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.48, N = 3 SE +/- 0.43, N = 3 23.70 28.90 23.10 29.28 27.20 28.48 43.11 30.71 32.02 MIN: 22.6 / MAX: 36.07 MIN: 26.47 / MAX: 35.83 MIN: 22.88 / MAX: 30.06 MIN: 27.49 / MAX: 39 MIN: 26.79 / MAX: 33.66 MIN: 28.05 / MAX: 39.92 MIN: 42.88 / MAX: 52.4 MIN: 29.91 / MAX: 79.18 MIN: 30.58 / MAX: 42.6 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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 Samples / Second, More Is Better srsRAN 21.10 Test: OFDM_Test Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 40M 80M 120M 160M 200M SE +/- 907377.17, N = 3 SE +/- 1201388.09, N = 3 SE +/- 2061386.50, N = 15 SE +/- 371184.29, N = 3 SE +/- 560753.46, N = 3 SE +/- 788106.03, N = 3 SE +/- 895048.11, N = 3 SE +/- 185592.15, N = 3 SE +/- 970108.81, N = 3 195700000 184100000 152760000 189733333 106733333 110566667 114133333 143933333 171233333 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.24 Test: rotate Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 4 8 12 16 20 SE +/- 0.004, N = 5 SE +/- 0.005, N = 5 SE +/- 0.017, N = 5 SE +/- 0.006, N = 5 SE +/- 0.003, N = 4 SE +/- 0.010, N = 4 SE +/- 0.008, N = 4 SE +/- 0.019, N = 4 SE +/- 0.016, N = 5 7.479 7.718 8.518 8.923 13.684 13.520 12.084 10.914 9.072
Chia Blockchain VDF Chia is a blockchain and smart transaction platform based on proofs of space and time rather than proofs of work with other cryptocurrencies. This test profile is benchmarking the CPU performance for Chia VDF performance using the Chia VDF benchmark. The Chia VDF is for the Chia Verifiable Delay Function (Proof of Time). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org IPS, More Is Better Chia Blockchain VDF 1.0.1 Test: Square Plain C++ Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 50K 100K 150K 200K 250K SE +/- 648.93, N = 3 SE +/- 33.33, N = 3 SE +/- 120.19, N = 3 SE +/- 321.46, N = 3 SE +/- 100.00, N = 3 SE +/- 1117.04, N = 3 SE +/- 166.67, N = 3 SE +/- 585.95, N = 3 SE +/- 648.93, N = 3 225167 213133 190733 203900 123200 124633 134767 166500 206933 1. (CXX) g++ options: -flto -no-pie -lgmpxx -lgmp -lboost_system -pthread
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: 3 - Compression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.46, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.60, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 SE +/- 0.66, N = 3 SE +/- 0.51, N = 3 77.95 74.01 66.28 68.05 42.68 44.44 50.14 48.66 68.08 1. (CC) gcc options: -O3
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: resnet-v2-50 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 8 16 24 32 40 SE +/- 1.09, N = 3 SE +/- 1.19, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 15 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 20.01 18.76 19.89 27.19 24.05 25.31 34.23 22.96 22.63 MIN: 18.57 / MAX: 31.93 MIN: 17.48 / MAX: 23.66 MIN: 19.77 / MAX: 36.32 MIN: 25.6 / MAX: 66.51 MIN: 23.67 / MAX: 30.81 MIN: 25.07 / MAX: 30.92 MIN: 34.06 / MAX: 43.92 MIN: 22.46 / MAX: 79.22 MIN: 22.2 / MAX: 24.32 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
JPEG XL libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: JPEG - Encode Speed: 8 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 10 20 30 40 50 SE +/- 0.27, N = 6 SE +/- 0.23, N = 6 SE +/- 0.11, N = 6 SE +/- 0.06, N = 5 SE +/- 0.03, N = 4 SE +/- 0.02, N = 4 SE +/- 0.06, N = 4 SE +/- 0.13, N = 4 SE +/- 0.02, N = 5 42.66 41.15 35.77 34.91 23.43 23.90 25.05 23.49 34.35 1. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: SqueezeNetV1.0 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.147, N = 3 SE +/- 0.203, N = 3 SE +/- 0.008, N = 3 SE +/- 0.011, N = 15 SE +/- 0.034, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 SE +/- 0.017, N = 3 SE +/- 0.086, N = 3 4.255 4.546 3.530 4.040 4.526 4.582 6.404 4.119 4.623 MIN: 3.9 / MAX: 12.18 MIN: 4.31 / MAX: 5.04 MIN: 3.48 / MAX: 6.67 MIN: 3.89 / MAX: 13.15 MIN: 4.41 / MAX: 4.83 MIN: 4.49 / MAX: 11.84 MIN: 6.34 / MAX: 6.71 MIN: 4.07 / MAX: 47.61 MIN: 4.46 / MAX: 15.11 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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: 9 - Compression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 20 40 60 80 100 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.35, N = 15 SE +/- 0.56, N = 3 76.47 72.30 64.74 66.52 42.49 43.19 49.14 49.60 66.92 1. (CC) gcc options: -O3
Cython Benchmark Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Cython Benchmark 0.29.21 Test: N-Queens Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 6 12 18 24 30 SE +/- 0.02, N = 4 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 14.07 14.90 16.54 18.53 25.06 24.86 22.81 23.94 17.52
SecureMark SecureMark is an objective, standardized benchmarking framework for measuring the efficiency of cryptographic processing solutions developed by EEMBC. SecureMark-TLS is benchmarking Transport Layer Security performance with a focus on IoT/edge computing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org marks, More Is Better SecureMark 1.0.4 Benchmark: SecureMark-TLS Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 80K 160K 240K 320K 400K SE +/- 508.54, N = 3 SE +/- 427.66, N = 3 SE +/- 204.22, N = 3 SE +/- 30.83, N = 3 SE +/- 1392.64, N = 3 SE +/- 474.85, N = 3 SE +/- 251.11, N = 3 SE +/- 142.80, N = 3 SE +/- 2040.73, N = 3 389601 367882 329402 328476 220087 225590 248797 230191 308627 1. (CC) gcc options: -pedantic -O3
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.9241 1.8482 2.7723 3.6964 4.6205 SE +/- 0.017, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.011, N = 15 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.010, N = 3 SE +/- 0.035, N = 3 2.887 2.365 2.830 3.666 3.327 3.423 4.107 3.160 2.337 MIN: 2.84 / MAX: 7.74 MIN: 2.34 / MAX: 2.6 MIN: 2.81 / MAX: 3.08 MIN: 3.47 / MAX: 12.5 MIN: 3.27 / MAX: 3.51 MIN: 3.36 / MAX: 4.6 MIN: 4.08 / MAX: 4.41 MIN: 3.12 / MAX: 31.5 MIN: 2.26 / MAX: 2.58 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.24 Test: auto-levels Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 4 8 12 16 20 SE +/- 0.018, N = 5 SE +/- 0.029, N = 5 SE +/- 0.016, N = 5 SE +/- 0.007, N = 5 SE +/- 0.010, N = 4 SE +/- 0.001, N = 4 SE +/- 0.021, N = 4 SE +/- 0.059, N = 4 SE +/- 0.009, N = 5 8.007 8.236 8.902 9.252 13.729 13.546 12.542 11.626 9.889
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, More Is Better srsRAN 21.10 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 40 80 120 160 200 SE +/- 0.18, N = 3 SE +/- 0.48, N = 4 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.38, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 161.9 152.3 136.5 185.6 108.6 111.0 115.0 151.1 168.5 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 21.10 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 130 260 390 520 650 SE +/- 3.11, N = 3 SE +/- 3.85, N = 3 SE +/- 0.78, N = 3 SE +/- 2.04, N = 3 SE +/- 0.33, N = 3 SE +/- 0.95, N = 3 SE +/- 0.38, N = 3 SE +/- 1.80, N = 3 SE +/- 0.50, N = 3 621.1 587.8 522.5 490.3 368.5 373.1 388.2 401.9 538.0 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 21.10 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 40 80 120 160 200 SE +/- 0.71, N = 3 SE +/- 0.45, N = 3 SE +/- 0.50, N = 3 SE +/- 0.61, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.53, N = 3 SE +/- 0.61, N = 3 182.3 173.5 154.7 200.6 119.4 121.2 127.1 160.2 178.2 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
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.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.0347 0.0694 0.1041 0.1388 0.1735 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.092 0.094 0.105 0.108 0.154 0.153 0.139 0.125 0.111
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 21.10 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 130 260 390 520 650 SE +/- 3.84, N = 4 SE +/- 1.62, N = 4 SE +/- 1.06, N = 4 SE +/- 0.88, N = 4 SE +/- 0.23, N = 3 SE +/- 0.76, N = 3 SE +/- 0.35, N = 3 SE +/- 2.88, N = 3 SE +/- 1.65, N = 4 623.1 593.2 534.0 494.3 372.4 379.7 399.3 399.1 536.2 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 21.10 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 120 240 360 480 600 SE +/- 4.35, N = 5 SE +/- 2.08, N = 4 SE +/- 3.21, N = 4 SE +/- 1.56, N = 4 SE +/- 0.29, N = 3 SE +/- 1.46, N = 3 SE +/- 0.32, N = 4 SE +/- 1.64, N = 4 SE +/- 1.07, N = 4 568.1 538.4 478.8 453.7 340.6 348.6 367.5 375.3 491.5 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3M 6M 9M 12M 15M SE +/- 29295.13, N = 4 SE +/- 10715.53, N = 4 SE +/- 14452.06, N = 3 SE +/- 15181.16, N = 3 SE +/- 7828.13, N = 3 SE +/- 39880.73, N = 3 SE +/- 8939.22, N = 3 SE +/- 15087.44, N = 3 SE +/- 11999.62, N = 3 12633117 11890651 10631427 10448670 7614249 7774578 8206058 8828760 11022827 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
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 21.10 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 120 240 360 480 600 SE +/- 1.36, N = 3 SE +/- 5.75, N = 4 SE +/- 1.07, N = 3 SE +/- 0.38, N = 3 SE +/- 0.43, N = 3 SE +/- 0.67, N = 3 SE +/- 0.78, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 551.0 523.5 470.9 450.6 336.3 342.4 355.5 376.0 491.4 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
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: 9 - Decompression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3K 6K 9K 12K 15K SE +/- 259.08, N = 3 SE +/- 18.97, N = 3 SE +/- 22.86, N = 3 SE +/- 4.42, N = 3 SE +/- 22.68, N = 3 SE +/- 3.30, N = 3 SE +/- 10.23, N = 3 SE +/- 11.50, N = 15 SE +/- 3.39, N = 3 11991.2 13475.5 12982.9 8251.9 10420.6 9110.2 9390.4 10514.2 12083.4 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3K 6K 9K 12K 15K SE +/- 275.85, N = 3 SE +/- 15.80, N = 3 SE +/- 16.48, N = 3 SE +/- 12.08, N = 3 SE +/- 10.12, N = 3 SE +/- 5.26, N = 3 SE +/- 6.83, N = 3 SE +/- 37.63, N = 3 SE +/- 54.05, N = 3 12007.7 13431.3 12950.9 8238.2 10428.6 9103.1 9388.8 10294.7 12031.8 1. (CC) gcc options: -O3
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.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.4327 0.8654 1.2981 1.7308 2.1635 SE +/- 0.007, N = 15 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.011, N = 3 SE +/- 0.012, N = 15 SE +/- 0.015, N = 9 SE +/- 0.021, N = 3 SE +/- 0.016, N = 3 SE +/- 0.013, N = 8 1.217 1.193 1.324 1.720 1.772 1.923 1.772 1.657 1.493
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.4354 0.8708 1.3062 1.7416 2.177 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.013, N = 15 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 1.225 1.209 1.338 1.644 1.899 1.935 1.812 1.553 1.354
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.24 Test: unsharp-mask Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 4 8 12 16 20 SE +/- 0.022, N = 5 SE +/- 0.013, N = 5 SE +/- 0.007, N = 5 SE +/- 0.017, N = 4 SE +/- 0.011, N = 3 SE +/- 0.011, N = 3 SE +/- 0.025, N = 3 SE +/- 0.043, N = 4 SE +/- 0.022, N = 4 9.906 10.015 10.426 11.318 15.833 15.795 15.782 13.229 11.748
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: mobilenetV3 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.3944 0.7888 1.1832 1.5776 1.972 SE +/- 0.007, N = 3 SE +/- 0.016, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 15 SE +/- 0.011, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 1.162 1.199 1.103 1.140 1.480 1.487 1.753 1.261 1.233 MIN: 1.13 / MAX: 3.35 MIN: 1.17 / MAX: 1.52 MIN: 1.08 / MAX: 1.25 MIN: 1.02 / MAX: 1.81 MIN: 1.41 / MAX: 2.81 MIN: 1.42 / MAX: 2.65 MIN: 1.73 / MAX: 2.14 MIN: 1.24 / MAX: 1.54 MIN: 1.19 / MAX: 1.42 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
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 20210720 Target: CPU - Model: shufflenet-v2 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.9293 1.8586 2.7879 3.7172 4.6465 SE +/- 0.10, N = 14 SE +/- 0.08, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 2.96 3.19 2.87 2.97 3.95 3.95 4.13 3.11 2.60 MIN: 2.51 / MAX: 4.26 MIN: 2.8 / MAX: 4.41 MIN: 2.82 / MAX: 3.62 MIN: 2.89 / MAX: 3.8 MIN: 3.86 / MAX: 10.95 MIN: 3.81 / MAX: 11.08 MIN: 4.06 / MAX: 5.03 MIN: 3.05 / MAX: 11.08 MIN: 2.51 / MAX: 3.91 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1000 2000 3000 4000 5000 SE +/- 2.83, N = 4 SE +/- 3.82, N = 3 SE +/- 3.32, N = 3 SE +/- 14.01, N = 3 SE +/- 5.22, N = 3 SE +/- 8.34, N = 3 SE +/- 1.53, N = 3 SE +/- 8.40, N = 3 SE +/- 8.93, N = 3 4550.2 4483.2 4096.0 4190.3 2952.3 2879.8 3274.5 3434.9 3927.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
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, More Is Better srsRAN 21.10 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 50 100 150 200 250 SE +/- 0.99, N = 4 SE +/- 0.59, N = 4 SE +/- 0.55, N = 4 SE +/- 0.10, N = 4 SE +/- 0.46, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.47, N = 3 SE +/- 0.48, N = 4 225.2 213.7 190.2 212.4 142.6 146.5 153.1 171.4 187.8 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
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 20210720 Target: CPU - Model: regnety_400m Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3 6 9 12 15 SE +/- 0.25, N = 15 SE +/- 0.23, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 6.87 7.39 5.97 7.07 8.06 8.03 9.42 7.12 6.80 MIN: 5.93 / MAX: 21.93 MIN: 6.21 / MAX: 9.31 MIN: 5.92 / MAX: 6.73 MIN: 6.96 / MAX: 7.56 MIN: 7.99 / MAX: 8.52 MIN: 7.97 / MAX: 12.38 MIN: 9.36 / MAX: 9.63 MIN: 6.98 / MAX: 7.34 MIN: 6.59 / MAX: 7.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Unpacking Firefox This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.05, N = 4 SE +/- 0.04, N = 4 SE +/- 0.08, N = 4 SE +/- 0.09, N = 4 SE +/- 0.18, N = 4 SE +/- 0.16, N = 4 SE +/- 0.20, N = 4 SE +/- 0.16, N = 4 SE +/- 0.06, N = 4 13.24 13.86 15.61 14.77 20.81 20.41 18.67 17.59 14.29
Zstd Compression This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1000 2000 3000 4000 5000 SE +/- 2.88, N = 3 SE +/- 3.15, N = 3 SE +/- 1.52, N = 3 SE +/- 8.35, N = 3 SE +/- 4.18, N = 3 SE +/- 7.41, N = 3 SE +/- 1.11, N = 3 SE +/- 4.77, N = 3 SE +/- 21.38, N = 3 4679.8 4604.2 4218.0 4264.6 3053.5 2980.0 3357.3 3467.3 3939.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
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.
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 6.2.0 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.024, N = 7 SE +/- 0.020, N = 7 SE +/- 0.017, N = 7 SE +/- 0.015, N = 7 SE +/- 0.042, N = 6 SE +/- 0.029, N = 6 SE +/- 0.041, N = 6 SE +/- 0.061, N = 6 SE +/- 0.018, N = 7 4.895 4.932 5.452 5.731 7.477 7.631 7.018 6.783 5.854
JPEG XL libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: PNG - Encode Speed: 8 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.2453 0.4906 0.7359 0.9812 1.2265 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.09 1.06 0.95 0.99 0.71 0.70 0.76 0.84 1.03 1. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
Unpacking The Linux Kernel This test measures how long it takes to extract the .tar.xz Linux kernel package. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1.3372 2.6744 4.0116 5.3488 6.686 SE +/- 0.006, N = 8 SE +/- 0.007, N = 8 SE +/- 0.013, N = 8 SE +/- 0.006, N = 8 SE +/- 0.039, N = 6 SE +/- 0.021, N = 7 SE +/- 0.013, N = 7 SE +/- 0.036, N = 7 SE +/- 0.012, N = 8 3.827 3.967 4.441 4.209 5.943 5.796 5.444 4.903 4.112
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 5 10 15 20 25 SE +/- 0.00, N = 4 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 SE +/- 0.07, N = 4 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 4 SE +/- 0.00, N = 4 12.52 13.18 14.66 14.98 19.38 18.95 17.59 16.40 13.66 1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark that is part of libjpeg-turbo, a JPEG image codec library optimized for SIMD instructions on modern CPU architectures. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.1.0 Test: Decompression Throughput Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 60 120 180 240 300 SE +/- 0.84, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.95, N = 3 SE +/- 0.96, N = 3 SE +/- 0.20, N = 3 SE +/- 0.73, N = 3 SE +/- 0.22, N = 3 SE +/- 0.37, N = 3 277.50 261.90 234.39 245.12 179.33 183.73 197.15 223.88 253.06 -lm -lm -lm -lm 1. (CC) gcc options: -O3 -rdynamic
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, More Is Better srsRAN 21.10 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 50 100 150 200 250 SE +/- 0.97, N = 5 SE +/- 0.21, N = 4 SE +/- 0.73, N = 4 SE +/- 0.18, N = 4 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 4 SE +/- 1.08, N = 4 SE +/- 0.43, N = 4 206.3 194.5 172.4 196.2 135.1 138.4 144.6 162.2 180.5 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp 1. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lmbedcrypto -lbladeRF -lpthread -lm -lfftw3f
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.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.6374 1.2748 1.9122 2.5496 3.187 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 1.953 1.879 1.861 2.423 2.652 2.833 2.620 2.571 2.207
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.2 Model: squeezenetv1.1 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.797 1.594 2.391 3.188 3.985 SE +/- 0.265, N = 3 SE +/- 0.172, N = 3 SE +/- 0.007, N = 3 SE +/- 0.012, N = 15 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.021, N = 3 SE +/- 0.044, N = 3 2.843 2.577 2.354 2.703 2.813 2.784 3.542 2.740 2.798 MIN: 2.28 / MAX: 3.69 MIN: 2.38 / MAX: 9.24 MIN: 2.32 / MAX: 2.59 MIN: 2.57 / MAX: 11.59 MIN: 2.72 / MAX: 3.32 MIN: 2.68 / MAX: 3.32 MIN: 3.49 / MAX: 3.83 MIN: 2.69 / MAX: 42.68 MIN: 2.7 / MAX: 3.25 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 2 4 6 8 10 SE +/- 0.007, N = 7 SE +/- 0.002, N = 7 SE +/- 0.003, N = 6 SE +/- 0.006, N = 7 SE +/- 0.008, N = 6 SE +/- 0.007, N = 6 SE +/- 0.010, N = 6 SE +/- 0.014, N = 6 SE +/- 0.005, N = 7 5.235 5.539 6.190 5.776 7.793 7.646 7.023 7.093 5.605 1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
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.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.394 0.788 1.182 1.576 1.97 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.014, N = 5 SE +/- 0.007, N = 3 SE +/- 0.018, N = 4 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 1.296 1.216 1.319 1.751 1.427 1.556 1.469 1.453 1.280
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: ETC2 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 50 100 150 200 250 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.25, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 238.43 225.21 201.76 216.61 170.03 173.16 181.70 184.42 229.53 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Chia Blockchain VDF Chia is a blockchain and smart transaction platform based on proofs of space and time rather than proofs of work with other cryptocurrencies. This test profile is benchmarking the CPU performance for Chia VDF performance using the Chia VDF benchmark. The Chia VDF is for the Chia Verifiable Delay Function (Proof of Time). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org IPS, More Is Better Chia Blockchain VDF 1.0.1 Test: Square Assembly Optimized Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 50K 100K 150K 200K 250K SE +/- 1121.51, N = 3 SE +/- 2216.85, N = 3 SE +/- 2425.79, N = 3 SE +/- 317.98, N = 3 SE +/- 1286.25, N = 3 SE +/- 832.67, N = 3 SE +/- 1211.52, N = 3 SE +/- 185.59, N = 3 SE +/- 264.58, N = 3 255567 245533 221167 240833 188133 191900 202633 204233 232100 1. (CXX) g++ options: -flto -no-pie -lgmpxx -lgmp -lboost_system -pthread
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Google Chrome Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 800 1600 2400 3200 4000 SE +/- 28.05, N = 3 SE +/- 10.33, N = 3 SE +/- 32.53, N = 3 SE +/- 0.33, N = 3 SE +/- 3.79, N = 3 SE +/- 6.12, N = 3 SE +/- 6.36, N = 3 SE +/- 13.00, N = 3 SE +/- 4.10, N = 3 2595 2617 2700 2794 3433 3515 3378 3091 2788 1. chrome 96.0.4664.110
Etcpak Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpx/s, More Is Better Etcpak 0.7 Configuration: DXT1 Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 400 800 1200 1600 2000 SE +/- 27.84, N = 15 SE +/- 23.05, N = 15 SE +/- 23.38, N = 15 SE +/- 1.57, N = 9 SE +/- 1.39, N = 8 SE +/- 1.25, N = 8 SE +/- 1.62, N = 8 SE +/- 4.96, N = 8 SE +/- 0.38, N = 9 1655.33 1556.07 1386.75 1523.19 1242.40 1245.82 1294.98 1372.97 1474.96 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
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.
OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark Core i9 12900K Core i5 12600K Core i5 12400 5 10 15 20 25 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 21.61 19.90 17.64
Core i5 11600K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Error: Cannot find module 'web-tooling-benchmark-0.5.3/dist/cli.js'
Core i5 8400: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Error: Cannot find module 'web-tooling-benchmark-0.5.3/dist/cli.js'
Core i5 9400F: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Error: Cannot find module 'web-tooling-benchmark-0.5.3/dist/cli.js'
Core i3 10100: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Error: Cannot find module 'web-tooling-benchmark-0.5.3/dist/cli.js'
Ryzen 3 3300X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Error: Cannot find module 'web-tooling-benchmark-0.5.3/dist/cli.js'
Ryzen 7 5700G: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Error: Cannot find module 'web-tooling-benchmark-0.5.3/dist/cli.js'
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.5.4 Test: DNN - Deep Neural Network Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 3K 6K 9K 12K 15K SE +/- 165.18, N = 15 SE +/- 324.13, N = 12 SE +/- 255.92, N = 15 SE +/- 466.13, N = 12 SE +/- 60.86, N = 13 SE +/- 95.47, N = 5 SE +/- 137.53, N = 4 SE +/- 43.43, N = 5 SE +/- 203.05, N = 15 8841 10012 10349 11629 8975 10214 11746 11022 7447 -fPIC -shared -fPIC -shared -fPIC -shared -fPIC -shared -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -fPIC -shared 1. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3
ONNX Runtime ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.10 Model: super-resolution-10 - Device: CPU Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 1000 2000 3000 4000 5000 SE +/- 1.20, N = 3 SE +/- 2.24, N = 3 SE +/- 6.25, N = 3 SE +/- 125.55, N = 12 SE +/- 9.96, N = 3 SE +/- 21.08, N = 3 SE +/- 4.76, N = 3 SE +/- 181.62, N = 12 SE +/- 250.26, N = 12 4677 4215 2986 4478 2222 2264 2922 2314 3854 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
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 20210720 Target: CPU - Model: blazeface Core i9 12900K Core i5 12600K Core i5 12400 Core i5 11600K Core i5 8400 Core i5 9400F Core i3 10100 Ryzen 3 3300X Ryzen 7 5700G 0.342 0.684 1.026 1.368 1.71 SE +/- 0.06, N = 15 SE +/- 0.04, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 1.37 1.43 1.08 1.12 1.39 1.37 1.51 1.52 1.21 MIN: 1.09 / MAX: 1.82 MIN: 1.13 / MAX: 1.69 MIN: 1.06 / MAX: 1.24 MIN: 1.09 / MAX: 1.53 MIN: 1.36 / MAX: 1.51 MIN: 1.34 / MAX: 2.6 MIN: 1.48 / MAX: 1.63 MIN: 1.32 / MAX: 65.44 MIN: 1.17 / MAX: 1.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Core i9 12900K Processor: Intel Core i9-12900K @ 6.50GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (0811 BIOS), Chipset: Intel Device 7aa7, Memory: 64GB, Disk: 1000GB Generic, Graphics: ASUS Intel ADL-S GT1 3GB (1550MHz), Audio: Intel Device 7ad0, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x15 - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 January 2022 18:13 by user pts.
Core i5 12600K Processor: Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads), Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 1000GB Generic, Graphics: ASUS Intel ADL-S GT1 3GB (1450MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x12 - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 January 2022 12:23 by user pts.
Core i5 12400 Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 1000GB Generic, Graphics: ASUS Intel ADL-S GT1 3GB (1450MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x12 - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 January 2022 06:13 by user pts.
Core i5 11600K Processor: Intel Core i5-11600K @ 4.90GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG STRIX Z590-I GAMING WIFI (1007 BIOS), Chipset: Intel Tiger Lake-H, Memory: 16GB, Disk: 1000GB Sabrent Rocket 4.0 Plus + 1000GB, Graphics: ASUS Intel RKL GT1 3GB (1300MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: DELL S2409W, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x40 - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 January 2022 19:11 by user pts.
Core i5 8400 Processor: Intel Core i5-8400 @ 4.00GHz (6 Cores), Motherboard: MSI Z370M MORTAR (MS-7B54) v1.0 (1.80 BIOS), Chipset: Intel 8th Gen Core, Memory: 8GB, Disk: 512GB INTEL SSDPEKNW512G8 + 1000GB, Graphics: MSI Intel UHD 630 CFL GT2 3GB (1050MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xea - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected
Testing initiated at 7 January 2022 14:40 by user pts.
Core i5 9400F Processor: Intel Core i5-9400F @ 4.10GHz (6 Cores), Motherboard: MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 256GB SAMSUNG MZVPW256HEGL-000H7 + 1000GB, Graphics: MSI NVIDIA NV106 1GB, Audio: Realtek ALC887-VD, Monitor: MX279, Network: Intel I219-V
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.2.2, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xea - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected
Testing initiated at 8 January 2022 14:48 by user pts.
Core i3 10100 Processor: Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads), Motherboard: Gigabyte B460M DS3H (F2 BIOS), Chipset: Intel 10th Gen Core, Memory: 16GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0 + 1000GB, Graphics: Gigabyte Intel UHD 630 CML GT2 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xea - Thermald 2.4.6Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 9 January 2022 08:53 by user pts.
Ryzen 3 3300X Processor: AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads), Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 256GB INTEL SSDPEKKW256G7 + 1000GB, Graphics: AMD FirePro V3800 512MB, Audio: AMD Redwood HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 3.3 Mesa 21.2.2 (LLVM 12.0.1), Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 January 2022 05:32 by user pts.
Ryzen 7 5700G Processor: AMD Ryzen 7 5700G @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS TUF GAMING B550M-PLUS (WI-FI) (2423 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 1000GB Samsung SSD 980 PRO 1TB + 1000GB, Graphics: ASUS AMD Cezanne 512MB (2000/1800MHz), Audio: AMD Renoir Radeon HD Audio, Monitor: MX279, Network: Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 21.10, Kernel: 5.16.0-051600rc8-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.2 (LLVM 12.0.1), Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000cJava Notes: OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.21.10)Python Notes: Python 3.9.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 January 2022 20:12 by user pts.