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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2K 4K 6K 8K 10K SE +/- 12.90, N = 3 SE +/- 39.61, N = 3 SE +/- 95.81, N = 3 SE +/- 13.29, N = 3 SE +/- 6.48, N = 3 SE +/- 45.80, N = 3 SE +/- 36.22, N = 3 SE +/- 7.14, N = 3 SE +/- 0.78, N = 3 5001.1 4343.3 10428.9 2647.5 2955.0 7375.9 6230.7 3264.8 1441.4 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1300 2600 3900 5200 6500 SE +/- 21.26, N = 3 SE +/- 18.24, N = 3 SE +/- 48.35, N = 3 SE +/- 21.13, N = 9 SE +/- 10.40, N = 3 SE +/- 1.47, N = 3 SE +/- 4.62, N = 3 SE +/- 2.40, N = 3 SE +/- 8.67, N = 3 2464.6 2664.4 6125.9 1547.9 1931.0 3411.0 3807.9 1856.2 980.4 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1.2M 2.4M 3.6M 4.8M 6M SE +/- 2529.17, N = 3 SE +/- 190.55, N = 3 SE +/- 1232.94, N = 3 SE +/- 281.48, N = 3 SE +/- 205.26, N = 3 SE +/- 1136.62, N = 3 SE +/- 684.13, N = 3 SE +/- 17585.35, N = 3 SE +/- 1571.22, N = 3 2373027 4762997 1135970 4074700 4169570 1816837 2921880 3118430 5724263
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 60K 120K 180K 240K 300K SE +/- 100.64, N = 3 SE +/- 16.71, N = 3 SE +/- 43.51, N = 3 SE +/- 3.84, N = 3 SE +/- 106.56, N = 3 SE +/- 34.07, N = 3 SE +/- 30.67, N = 3 SE +/- 1839.99, N = 3 SE +/- 15.07, N = 3 123008.0 245753.0 58896.4 214770.0 219756.0 95135.7 150209.0 158491.0 296109.0
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1.4M 2.8M 4.2M 5.6M 7M SE +/- 1905.45, N = 3 SE +/- 578.51, N = 3 SE +/- 923.59, N = 3 SE +/- 458.34, N = 3 SE +/- 126.62, N = 3 SE +/- 382.23, N = 3 SE +/- 361.66, N = 3 SE +/- 12696.85, N = 3 SE +/- 29.06, N = 3 2638347 5259673 1263303 4508767 4611930 2027390 3229520 3421080 6325157
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 90K 180K 270K 360K 450K SE +/- 462.30, N = 3 SE +/- 532.59, N = 3 SE +/- 57.01, N = 3 SE +/- 15.86, N = 3 SE +/- 8.74, N = 3 SE +/- 61.36, N = 3 SE +/- 35.45, N = 3 SE +/- 1950.13, N = 3 SE +/- 24.84, N = 3 182200.0 363563.0 87910.3 313595.0 320776.0 140924.0 221127.0 229350.0 439005.0
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 60K 120K 180K 240K 300K SE +/- 42.47, N = 3 SE +/- 60.96, N = 3 SE +/- 33.91, N = 3 SE +/- 82.74, N = 3 SE +/- 3.18, N = 3 SE +/- 34.15, N = 3 SE +/- 17.37, N = 3 SE +/- 1322.94, N = 3 SE +/- 33.47, N = 3 131843.0 253431.0 62049.1 220048.0 224985.0 101071.0 158767.0 160872.0 301107.0
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 40 80 120 160 200 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.72, N = 3 SE +/- 0.07, N = 3 60.73 160.63 33.47 112.64 115.32 50.96 67.21 70.64 129.54 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 110 220 330 440 550 219.25 435.87 109.01 413.19 423.93 161.78 223.18 272.35 509.29
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.005811, N = 3 SE +/- 0.003150, N = 3 SE +/- 0.019777, N = 3 SE +/- 0.000725, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.006987, N = 3 SE +/- 0.001428, N = 3 SE +/- 0.015181, N = 3 SE +/- 0.000542, N = 3 3.410575 1.483259 6.871543 1.927793 1.881843 4.799675 3.012189 2.641410 1.505559 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.010, N = 3 SE +/- 0.002, N = 3 SE +/- 0.035, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.039, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.001, N = 3 4.433 2.168 8.378 1.914 1.901 5.241 3.659 3.222 1.855
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4K 8K 12K 16K 20K SE +/- 6.44, N = 3 SE +/- 24.32, N = 3 SE +/- 52.31, N = 3 SE +/- 30.05, N = 3 SE +/- 34.20, N = 3 SE +/- 9.91, N = 3 SE +/- 13.43, N = 3 SE +/- 86.18, N = 6 SE +/- 7.62, N = 3 11219 5257 20161 4943 4917 13114 9657 8449 4480
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 70 140 210 280 350 SE +/- 0.33, N = 3 SE +/- 0.76, N = 3 SE +/- 0.16, N = 3 SE +/- 0.96, N = 3 SE +/- 0.80, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 2.21, N = 3 SE +/- 0.78, N = 3 138.99 294.24 74.66 302.54 308.14 116.27 165.46 191.50 329.87
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.001115, N = 3 SE +/- 0.014928, N = 3 SE +/- 0.008920, N = 3 SE +/- 0.003119, N = 3 SE +/- 0.002424, N = 3 SE +/- 0.001307, N = 3 SE +/- 0.003403, N = 3 SE +/- 0.012857, N = 3 SE +/- 0.001615, N = 3 3.314454 1.448287 6.366737 1.879602 1.838658 4.641808 2.950076 2.579806 1.478250 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 160K 320K 480K 640K 800K SE +/- 850.81, N = 3 SE +/- 2580.11, N = 3 SE +/- 432.64, N = 3 SE +/- 144.04, N = 3 SE +/- 156.59, N = 3 SE +/- 1410.86, N = 3 SE +/- 1423.21, N = 3 SE +/- 105.14, N = 3 SE +/- 2585.75, N = 3 404446.83 192530.68 752115.82 175008.14 171977.55 460322.56 304747.31 316163.95 182213.98 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.42, N = 3 SE +/- 0.02, N = 3 34.21 60.70 17.98 67.35 67.26 26.55 37.17 44.62 78.09
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 50 100 150 200 250 SE +/- 0.75, N = 7 SE +/- 0.58, N = 5 SE +/- 1.92, N = 9 SE +/- 0.63, N = 6 SE +/- 0.59, N = 8 SE +/- 0.94, N = 8 SE +/- 0.57, N = 7 SE +/- 0.63, N = 6 SE +/- 0.62, N = 4 116.88 65.80 233.21 67.70 67.54 158.97 116.78 98.00 53.82 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 300 600 900 1200 1500 SE +/- 0.18, N = 3 SE +/- 0.73, N = 3 SE +/- 0.05, N = 3 SE +/- 0.21, N = 3 SE +/- 0.51, N = 3 SE +/- 1.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.11, N = 3 619.66 949.09 316.87 1146.09 1110.59 451.83 567.76 781.44 1364.97
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 70K 140K 210K 280K 350K SE +/- 75.29, N = 3 SE +/- 324.86, N = 3 SE +/- 927.60, N = 3 SE +/- 45.71, N = 3 SE +/- 13.20, N = 3 SE +/- 216.29, N = 3 SE +/- 105.69, N = 3 SE +/- 2189.33, N = 4 SE +/- 9.17, N = 3 154169.0 261519.0 73445.2 250608.0 256052.0 108980.0 182521.0 190488.0 311152.0
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.0154, N = 3 SE +/- 0.0248, N = 3 SE +/- 0.0715, N = 3 SE +/- 0.0011, N = 3 SE +/- 0.0269, N = 3 SE +/- 0.0463, N = 3 SE +/- 0.0108, N = 3 SE +/- 0.0748, N = 3 SE +/- 0.0163, N = 3 12.4453 5.7606 18.8273 4.4903 4.5266 12.6227 9.6674 7.9085 4.6382 MIN: 12.13 / MAX: 12.72 MIN: 5.67 / MAX: 5.88 MIN: 17.29 / MAX: 20.05 MIN: 4.47 / MAX: 4.55 MIN: 4.43 / MAX: 4.62 MIN: 12.03 / MAX: 13.01 MIN: 9.6 / MAX: 9.8 MIN: 7.67 / MAX: 8.47 MIN: 4.6 / MAX: 4.73
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 300 600 900 1200 1500 SE +/- 0.35, N = 3 SE +/- 0.38, N = 3 SE +/- 0.70, N = 3 SE +/- 0.25, N = 3 SE +/- 0.19, N = 3 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 SE +/- 0.22, N = 3 SE +/- 0.34, N = 3 695.52 1124.63 358.47 1287.64 1250.75 517.31 664.57 853.33 1494.84
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 100 200 300 400 500 SE +/- 0.65, N = 9 SE +/- 0.09, N = 8 SE +/- 0.58, N = 12 SE +/- 0.16, N = 8 SE +/- 0.14, N = 8 SE +/- 0.32, N = 11 SE +/- 0.12, N = 10 SE +/- 0.15, N = 9 SE +/- 0.08, N = 7 229.41 141.05 475.92 138.30 141.64 330.12 250.22 187.49 114.44 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 100 200 300 400 500 SE +/- 0.10, N = 3 SE +/- 0.59, N = 3 SE +/- 0.15, N = 3 SE +/- 1.00, N = 3 SE +/- 0.76, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.79, N = 3 SE +/- 0.38, N = 3 184.39 389.77 110.24 441.75 447.20 170.37 238.65 263.93 457.99
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 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 15.38 6.91 28.57 7.94 7.94 18.87 15.79 15.23 7.87 MIN: 15.15 / MAX: 16.39 MIN: 6.21 / MAX: 7.35 MIN: 25.64 MIN: 6.67 / MAX: 8 MIN: 7.75 / MAX: 8 MIN: 17.24 / MAX: 19.23 MIN: 15.63 / MAX: 15.87 MIN: 13.16 / MAX: 15.63 MIN: 7.75 / MAX: 7.94
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 10M 20M 30M 40M 50M SE +/- 277180.59, N = 6 SE +/- 46829.68, N = 3 SE +/- 478120.04, N = 6 SE +/- 138520.51, N = 3 SE +/- 75321.00, N = 3 SE +/- 113304.69, N = 3 SE +/- 43155.70, N = 3 SE +/- 199778.09, N = 6 SE +/- 8142.79, N = 3 28156151 13316671 47524146 12551932 12705452 30847674 20746943 19714200 11532499 -mbmi2 -mbmi2 -mbmi2 -mbmi2 -mbmi2 -mbmi2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.97, N = 5 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.65, N = 3 SE +/- 0.38, N = 3 50.91 104.51 29.36 95.99 97.26 42.77 65.46 72.44 120.97 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 Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4 8 12 16 20 SE +/- 0.01640, N = 4 SE +/- 0.02843, N = 15 SE +/- 0.01241, N = 4 SE +/- 0.03704, N = 4 SE +/- 0.01340, N = 7 SE +/- 0.05588, N = 6 SE +/- 0.05754, N = 5 SE +/- 0.01591, N = 4 13.19220 3.72173 14.85800 15.24330 5.89450 7.79702 8.50054 14.74550 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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=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 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 30K 60K 90K 120K 150K SE +/- 68.96, N = 3 SE +/- 83.84, N = 3 SE +/- 654.91, N = 3 SE +/- 25.21, N = 3 SE +/- 49.57, N = 3 SE +/- 224.01, N = 3 SE +/- 265.46, N = 3 SE +/- 312.20, N = 3 SE +/- 107.02, N = 3 67217 39967 119413 34124 35140 77975 65237 54435 29288 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 100 200 300 400 500 190.88 380.00 115.03 432.62 441.13 171.90 231.89 259.57 468.65
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20K 40K 60K 80K 100K SE +/- 20.88, N = 3 SE +/- 44.76, N = 3 SE +/- 528.22, N = 3 SE +/- 10.48, N = 3 SE +/- 3.93, N = 3 SE +/- 259.95, N = 3 SE +/- 149.29, N = 3 SE +/- 18.22, N = 3 SE +/- 102.49, N = 3 68622 30773 96602 24069 23776 61848 41194 44042 24502 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.36, N = 3 SE +/- 0.11, N = 3 51.74 80.21 25.86 88.01 86.11 35.85 46.56 62.93 104.17
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.0378, N = 3 SE +/- 0.0065, N = 3 SE +/- 0.1137, N = 3 SE +/- 0.0136, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0168, N = 3 SE +/- 0.0326, N = 3 SE +/- 0.0407, N = 3 SE +/- 0.0081, N = 3 11.5152 5.2847 20.1572 5.0293 5.0961 13.9300 11.4885 8.1741 5.3309 MIN: 11.25 / MAX: 11.81 MIN: 5.24 / MAX: 5.38 MIN: 18.48 / MAX: 21.53 MIN: 4.98 / MAX: 5.12 MIN: 5.06 / MAX: 5.17 MIN: 13.38 / MAX: 14.31 MIN: 11.36 / MAX: 11.74 MIN: 7.98 / MAX: 8.95 MIN: 5.29 / MAX: 5.43
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 Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 13 26 39 52 65 SE +/- 0.01, N = 3 SE +/- 0.06, N = 4 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.33, N = 3 SE +/- 0.06, N = 3 45.04 14.39 56.34 57.60 21.87 31.33 31.57 54.21 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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=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 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 40 80 120 160 200 SE +/- 0.30, N = 3 SE +/- 0.39, N = 3 SE +/- 0.46, N = 3 SE +/- 0.96, N = 3 SE +/- 0.89, N = 3 SE +/- 0.83, N = 3 SE +/- 0.54, N = 3 SE +/- 0.31, N = 3 SE +/- 0.70, N = 3 86.68 150.40 47.85 172.38 171.76 68.59 92.08 108.49 191.51
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.6849 1.3698 2.0547 2.7396 3.4245 SE +/- 0.009, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 2.160 1.017 3.044 0.765 0.763 2.010 1.491 1.377 0.799
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 Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.01370, N = 3 SE +/- 0.04022, N = 9 SE +/- 0.00884, N = 3 SE +/- 0.01595, N = 3 SE +/- 0.01987, N = 6 SE +/- 0.01686, N = 5 SE +/- 0.08781, N = 5 SE +/- 0.03002, N = 3 16.73890 4.98045 17.46130 17.83830 7.05919 9.93768 11.11940 19.80380 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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=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 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 80 160 240 320 400 SE +/- 0.35, N = 8 SE +/- 0.12, N = 7 SE +/- 0.55, N = 11 SE +/- 0.09, N = 7 SE +/- 0.10, N = 7 SE +/- 0.23, N = 10 SE +/- 0.13, N = 9 SE +/- 0.14, N = 8 SE +/- 0.07, N = 6 161.12 117.59 381.57 122.60 127.81 229.13 201.16 142.86 96.87 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 80 160 240 320 400 SE +/- 1.17, N = 10 SE +/- 1.16, N = 15 SE +/- 10.38, N = 15 SE +/- 0.95, N = 15 SE +/- 0.95, N = 15 SE +/- 1.53, N = 15 SE +/- 1.18, N = 15 SE +/- 1.14, N = 9 SE +/- 0.67, N = 15 155.07 114.89 366.29 121.01 126.90 220.86 197.40 139.69 95.51 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.16, N = 3 SE +/- 0.28, N = 3 SE +/- 0.27, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 59.20 96.19 32.82 103.66 101.99 43.37 54.83 68.58 121.83 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 8 16 24 32 40 SE +/- 0.00, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 6 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.08, N = 4 SE +/- 0.11, N = 15 SE +/- 0.00, N = 3 20.83 10.00 34.48 9.35 9.35 23.26 18.27 16.16 9.52 MIN: 20.41 / MAX: 21.28 MIN: 8.77 / MAX: 10.2 MIN: 32.26 / MAX: 35.71 MIN: 9.09 / MAX: 9.43 MIN: 9.26 / MAX: 9.43 MIN: 20 / MAX: 23.81 MIN: 18.18 / MAX: 18.52 MIN: 14.93 / MAX: 17.86 MIN: 8.85 / MAX: 9.62
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.011, N = 7 SE +/- 0.021, N = 5 SE +/- 0.011, N = 9 SE +/- 0.012, N = 5 SE +/- 0.009, N = 5 SE +/- 0.014, N = 8 SE +/- 0.014, N = 7 SE +/- 0.013, N = 6 SE +/- 0.017, N = 5 5.540 11.162 3.070 10.407 10.571 4.664 6.156 6.665 10.857 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 60K 120K 180K 240K 300K SE +/- 66.28, N = 3 SE +/- 9.98, N = 3 SE +/- 64.72, N = 3 SE +/- 790.25, N = 5 SE +/- 221.16, N = 3 SE +/- 58.76, N = 3 SE +/- 5.04, N = 3 SE +/- 354.80, N = 3 SE +/- 253.73, N = 3 164935.1 78471.9 279362.3 110437.3 108892.3 180864.3 135401.2 137118.9 81709.8 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.014, N = 7 SE +/- 0.007, N = 5 SE +/- 0.009, N = 9 SE +/- 0.035, N = 5 SE +/- 0.012, N = 5 SE +/- 0.013, N = 8 SE +/- 0.006, N = 7 SE +/- 0.007, N = 6 SE +/- 0.020, N = 5 5.117 7.797 2.690 7.497 7.380 3.880 5.283 5.514 9.562
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 900 1800 2700 3600 4500 SE +/- 0.72, N = 3 SE +/- 0.30, N = 3 SE +/- 16.47, N = 3 SE +/- 17.58, N = 5 SE +/- 0.15, N = 3 SE +/- 0.87, N = 3 SE +/- 0.30, N = 3 SE +/- 23.87, N = 3 SE +/- 5.12, N = 3 2543.0 1212.6 4284.4 1705.3 1684.2 2785.9 2092.3 2176.7 1239.9 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 300 600 900 1200 1500 SE +/- 6.61, N = 4 SE +/- 6.17, N = 3 SE +/- 14.13, N = 4 SE +/- 8.84, N = 3 SE +/- 8.41, N = 3 SE +/- 8.95, N = 3 SE +/- 4.41, N = 3 SE +/- 4.06, N = 9 SE +/- 2.19, N = 3 642 600 1135 1033 1212 959 754 352 735 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 150 300 450 600 750 SE +/- 0.29, N = 3 SE +/- 11.90, N = 9 SE +/- 1.92, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.17, N = 3 SE +/- 0.00, N = 3 SE +/- 3.24, N = 3 SE +/- 0.76, N = 3 295 204 672 222 233 458 302 332 246 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 10.27 6.81 20.44 7.65 7.48 15.31 12.93 11.25 6.31
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.011, N = 7 SE +/- 0.008, N = 6 SE +/- 0.005, N = 9 SE +/- 0.008, N = 6 SE +/- 0.002, N = 6 SE +/- 0.003, N = 9 SE +/- 0.002, N = 8 SE +/- 0.038, N = 15 SE +/- 0.003, N = 6 4.147 5.195 2.019 5.178 4.875 2.781 3.361 4.412 6.525
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 6 12 18 24 30 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 12.59 8.75 24.66 9.51 9.38 18.61 15.83 13.83 7.65
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.37, N = 5 SE +/- 0.43, N = 4 SE +/- 0.25, N = 6 SE +/- 0.31, N = 7 SE +/- 0.25, N = 10 SE +/- 0.33, N = 6 SE +/- 0.25, N = 4 SE +/- 0.39, N = 4 SE +/- 0.31, N = 5 63.62 34.84 93.45 33.16 32.97 75.55 51.58 48.44 29.41 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 12 24 36 48 60 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 4 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.30, N = 4 SE +/- 0.13, N = 3 21.33 43.96 16.34 38.41 39.30 24.25 29.81 26.55 51.14 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 400 800 1200 1600 2000 SE +/- 6.64, N = 3 SE +/- 2.60, N = 3 SE +/- 11.46, N = 3 SE +/- 5.51, N = 3 SE +/- 15.98, N = 3 SE +/- 14.15, N = 6 SE +/- 15.72, N = 3 SE +/- 7.97, N = 5 SE +/- 4.93, N = 3 599 589 1841 954 1138 1449 1415 751 594 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.13, N = 4 SE +/- 0.31, N = 3 SE +/- 0.52, N = 5 SE +/- 0.05, N = 4 SE +/- 0.29, N = 4 SE +/- 0.15, N = 5 SE +/- 0.02, N = 5 SE +/- 0.03, N = 4 SE +/- 0.04, N = 3 56.34 30.80 76.65 39.40 24.67 76.88 66.61 54.93 32.43 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.006, N = 7 SE +/- 0.012, N = 5 SE +/- 0.007, N = 9 SE +/- 0.009, N = 5 SE +/- 0.007, N = 5 SE +/- 0.009, N = 8 SE +/- 0.003, N = 7 SE +/- 0.004, N = 6 SE +/- 0.006, N = 5 5.209 7.501 2.894 7.747 7.221 3.912 4.468 5.646 8.912
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.018, N = 9 SE +/- 0.014, N = 7 SE +/- 0.040, N = 10 SE +/- 0.019, N = 8 SE +/- 0.007, N = 8 SE +/- 0.035, N = 9 SE +/- 0.012, N = 9 SE +/- 0.015, N = 8 SE +/- 0.004, N = 7 6.969 3.387 9.564 4.377 4.381 5.867 6.730 6.060 3.195 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 SE +/- 0.36, N = 15 SE +/- 0.12, N = 3 SE +/- 0.18, N = 3 SE +/- 0.30, N = 15 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 69.45 64.34 32.63 81.79 69.70 35.55 35.18 91.74 97.35 MIN: 68.58 / MAX: 79.46 MIN: 63.54 / MAX: 130.33 MIN: 29.92 / MAX: 55.47 MIN: 81.48 / MAX: 86.88 MIN: 69.39 / MAX: 74.06 MIN: 34 / MAX: 40.19 MIN: 35.02 / MAX: 41.41 MIN: 91.4 / MAX: 98.33 MIN: 97.01 / MAX: 106.3 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 8.54 5.52 12.07 5.23 4.89 10.56 8.76 6.99 4.06 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 15 30 45 60 75 SE +/- 0.11, N = 4 SE +/- 0.25, N = 3 SE +/- 0.32, N = 5 SE +/- 0.02, N = 3 SE +/- 0.21, N = 7 SE +/- 0.23, N = 5 SE +/- 0.04, N = 5 SE +/- 0.02, N = 4 SE +/- 0.02, N = 3 51.58 31.17 68.37 36.13 23.28 68.40 60.36 49.52 29.06 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.28, N = 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.31, N = 15 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 15.18 17.20 10.90 20.96 19.30 12.63 9.96 18.88 28.46 MIN: 14.72 / MAX: 23.86 MIN: 16.8 / MAX: 79.68 MIN: 9.22 / MAX: 13.46 MIN: 20.82 / MAX: 22.12 MIN: 19.08 / MAX: 28.59 MIN: 10.87 / MAX: 14.26 MIN: 9.86 / MAX: 10.4 MIN: 18.61 / MAX: 26.33 MIN: 28.21 / MAX: 28.96 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 12 24 36 48 60 SE +/- 0.06, N = 4 SE +/- 0.18, N = 3 SE +/- 0.37, N = 4 SE +/- 0.00, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 4 SE +/- 0.02, N = 4 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 40.17 25.49 49.61 26.05 18.07 51.20 43.60 36.60 21.03 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 4.56, N = 12 SE +/- 3.26, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 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 58 37 98 35 36 67 43 67 45 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 6 12 18 24 30 SE +/- 0.157, N = 3 SE +/- 0.017, N = 3 SE +/- 0.180, N = 10 SE +/- 0.069, N = 3 SE +/- 0.005, N = 3 SE +/- 0.197, N = 3 SE +/- 0.066, N = 3 SE +/- 0.174, N = 3 SE +/- 0.070, N = 3 16.435 9.919 23.631 9.045 8.910 19.212 16.594 14.830 8.498 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 3.83 4.04 3.30 5.67 5.14 3.89 2.65 5.29 7.33 MIN: 3.71 / MAX: 4.69 MIN: 3.95 / MAX: 4.89 MIN: 2.71 / MAX: 5.56 MIN: 5.49 / MAX: 15.02 MIN: 5.07 / MAX: 5.98 MIN: 3.04 / MAX: 12.07 MIN: 2.59 / MAX: 3.43 MIN: 5.08 / MAX: 5.98 MIN: 7.21 / MAX: 8.36 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 10 20 30 40 50 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.52, N = 4 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 32.0 20.6 43.7 19.9 22.9 35.9 35.8 29.5 16.2 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4 8 12 16 20 SE +/- 0.0033, N = 5 SE +/- 0.0016, N = 3 SE +/- 0.0080, N = 6 SE +/- 0.0057, N = 3 SE +/- 0.0063, N = 3 SE +/- 0.0052, N = 5 SE +/- 0.0015, N = 5 SE +/- 0.0174, N = 5 SE +/- 0.0030, N = 3 6.6652 17.6462 6.9266 12.5039 12.7817 8.9876 7.0855 7.0393 14.2021 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 5.00 6.33 5.08 7.39 6.86 6.08 3.71 6.67 9.79 MIN: 4.83 / MAX: 7.65 MIN: 6.15 / MAX: 7.07 MIN: 4.26 / MAX: 6.52 MIN: 7.32 / MAX: 7.91 MIN: 6.8 / MAX: 7.03 MIN: 4.84 / MAX: 13.57 MIN: 3.66 / MAX: 4.5 MIN: 6.52 / MAX: 7.52 MIN: 9.68 / MAX: 10.05 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.31, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 28.4 17.5 39.0 16.0 18.0 32.9 27.0 24.4 15.1 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 30 60 90 120 150 SE +/- 0.41, N = 3 SE +/- 0.38, N = 3 SE +/- 0.08, N = 3 SE +/- 0.52, N = 3 SE +/- 0.40, N = 3 SE +/- 0.61, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.48, N = 3 61.23 89.07 44.79 104.10 102.73 52.29 61.60 72.18 114.89
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 60.88 76.78 36.66 82.05 81.84 45.70 51.28 61.83 93.85 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 3.21 3.71 2.78 4.46 4.16 3.20 2.42 4.06 6.00 MIN: 3.09 / MAX: 3.86 MIN: 3.55 / MAX: 62.26 MIN: 2.4 / MAX: 10.46 MIN: 4.34 / MAX: 12.32 MIN: 4.11 / MAX: 5.04 MIN: 2.67 / MAX: 4.5 MIN: 2.38 / MAX: 3.21 MIN: 3.95 / MAX: 4.78 MIN: 5.9 / MAX: 7.05 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.015, N = 5 SE +/- 0.086, N = 3 SE +/- 0.026, N = 6 SE +/- 0.056, N = 3 SE +/- 0.095, N = 3 SE +/- 0.032, N = 5 SE +/- 0.033, N = 4 SE +/- 0.011, N = 4 SE +/- 0.087, N = 3 11.434 17.774 8.247 19.239 19.735 9.867 12.332 12.771 20.370 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 900 1800 2700 3600 4500 SE +/- 1.49, N = 3 SE +/- 3.31, N = 3 SE +/- 3.43, N = 3 SE +/- 8.31, N = 3 SE +/- 13.58, N = 3 SE +/- 5.94, N = 3 SE +/- 1.01, N = 3 SE +/- 2.25, N = 3 SE +/- 4.42, N = 3 2774.51 3433.26 1733.72 4156.36 4263.13 1974.00 2369.35 3069.09 4163.43 MIN: 2740.22 / MAX: 2848.41 MIN: 3360.22 / MAX: 3517.39 MIN: 1690.5 / MAX: 1836.99 MIN: 4063.47 / MAX: 4299.7 MIN: 4159.44 / MAX: 4438.71 MIN: 1895.01 / MAX: 2094.31 MIN: 2323.03 / MAX: 2425.47 MIN: 3030.29 / MAX: 3145.18 MIN: 4140.74 / MAX: 4290.56 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 13 26 39 52 65 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.44, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 50.02 30.03 57.73 24.06 23.70 52.79 45.27 42.77 27.70 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 9 18 27 36 45 SE +/- 0.19, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 15 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 15 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 23.98 28.91 18.23 33.24 30.88 19.54 16.74 33.49 40.44 MIN: 23.37 / MAX: 32.38 MIN: 28.53 / MAX: 94.85 MIN: 17.75 / MAX: 19.32 MIN: 33 / MAX: 36.99 MIN: 30.63 / MAX: 31.2 MIN: 17.46 / MAX: 24.68 MIN: 16.59 / MAX: 17.05 MIN: 32.99 / MAX: 34.12 MIN: 40.25 / MAX: 54.24 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 6 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 15 10.12 7.10 14.54 7.05 6.55 13.15 11.15 10.11 6.07 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 9 18 27 36 45 SE +/- 0.58, N = 3 SE +/- 0.14, N = 3 SE +/- 0.24, N = 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.27, N = 15 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 24.11 26.37 16.24 31.85 29.46 17.02 16.68 29.41 38.60 MIN: 22.76 / MAX: 25.47 MIN: 25.97 / MAX: 88.43 MIN: 14.78 / MAX: 32.95 MIN: 31.71 / MAX: 32.25 MIN: 29.3 / MAX: 29.79 MIN: 15.52 / MAX: 20.89 MIN: 16.53 / MAX: 17.3 MIN: 29.09 / MAX: 37.13 MIN: 38.46 / MAX: 46.54 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 12 24 36 48 60 SE +/- 0.44, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.32, N = 3 SE +/- 0.39, N = 3 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 31.13 46.19 21.71 51.33 47.04 25.77 33.01 36.52 49.57 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 900 1800 2700 3600 4500 SE +/- 28.62, N = 8 SE +/- 26.94, N = 7 SE +/- 14.73, N = 10 SE +/- 18.64, N = 7 SE +/- 20.29, N = 7 SE +/- 18.22, N = 20 SE +/- 12.86, N = 9 SE +/- 13.92, N = 8 SE +/- 36.10, N = 7 3338 4296 1900 3999 4010 2184 2344 3145 4342
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 Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 9 18 27 36 45 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 33.74 18.29 39.86 39.44 21.70 25.83 29.44 41.39 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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=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 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 10K 20K 30K 40K 50K SE +/- 244.37, N = 3 SE +/- 56.96, N = 3 SE +/- 194.60, N = 3 SE +/- 82.56, N = 3 SE +/- 0.67, N = 3 SE +/- 43.00, N = 3 SE +/- 108.93, N = 3 SE +/- 60.61, N = 3 SE +/- 47.03, N = 3 28359 20731 46690 23649 23537 39771 29274 30336 26824 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 200 400 600 800 1000 SE +/- 3.00, N = 3 SE +/- 9.96, N = 3 SE +/- 0.87, N = 4 SE +/- 2.03, N = 3 SE +/- 1.15, N = 3 SE +/- 0.50, N = 4 SE +/- 0.85, N = 4 SE +/- 0.95, N = 4 SE +/- 1.15, N = 3 760 962 499 1095 1120 528 590 692 951
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 70 140 210 280 350 SE +/- 0.07, N = 4 SE +/- 0.22, N = 3 SE +/- 0.51, N = 5 SE +/- 0.11, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 5 SE +/- 0.13, N = 4 SE +/- 0.33, N = 3 SE +/- 0.16, N = 3 218.13 240.59 153.15 333.39 339.47 161.01 180.98 256.62 309.97 MIN: 217.82 / MAX: 218.62 MIN: 239.2 / MAX: 253.31 MIN: 149.14 / MAX: 158.84 MIN: 331.4 / MAX: 336.66 MIN: 337.97 / MAX: 341.05 MIN: 157.47 / MAX: 164.46 MIN: 176.1 / MAX: 183.84 MIN: 254.45 / MAX: 259.91 MIN: 308.55 / MAX: 311.1 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.75, N = 15 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 18.32 24.88 13.35 28.30 27.20 17.09 14.93 21.32 29.30 MIN: 17.9 / MAX: 19.21 MIN: 24.3 / MAX: 91.65 MIN: 12.43 / MAX: 33.5 MIN: 28.03 / MAX: 35.26 MIN: 26.96 / MAX: 27.39 MIN: 13.76 / MAX: 56.35 MIN: 14.8 / MAX: 21.08 MIN: 20.76 / MAX: 106.81 MIN: 28.93 / MAX: 29.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: mnasnet Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1.179 2.358 3.537 4.716 5.895 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 13 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 14 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 2.99 3.67 3.00 4.06 3.92 3.45 2.41 3.40 5.24 MIN: 2.87 / MAX: 3.93 MIN: 3.54 / MAX: 4.22 MIN: 2.51 / MAX: 10.7 MIN: 3.97 / MAX: 14.48 MIN: 3.83 / MAX: 4.82 MIN: 2.88 / MAX: 10.91 MIN: 2.37 / MAX: 3.19 MIN: 3.3 / MAX: 4.29 MIN: 5.18 / MAX: 5.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: alexnet Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 15 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 13.98 13.83 8.97 14.38 13.00 9.20 8.21 17.76 15.97 MIN: 13.4 / MAX: 14.38 MIN: 13.62 / MAX: 77 MIN: 8.76 / MAX: 15.98 MIN: 14.25 / MAX: 24.11 MIN: 12.94 / MAX: 13.18 MIN: 9.11 / MAX: 69.46 MIN: 8.14 / MAX: 9.36 MIN: 17.67 / MAX: 18.16 MIN: 15.74 / MAX: 16.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: resnet18 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.62, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 15 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.17, N = 15 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 15.09 15.11 10.83 18.54 16.96 10.97 9.68 19.54 20.84 MIN: 14.34 / MAX: 16.96 MIN: 15.01 / MAX: 16.6 MIN: 10.44 / MAX: 17.26 MIN: 18.42 / MAX: 25.89 MIN: 16.87 / MAX: 17.14 MIN: 9.31 / MAX: 19.91 MIN: 9.58 / MAX: 10.16 MIN: 19.36 / MAX: 27.34 MIN: 20.72 / MAX: 21.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20210720 Target: CPU - Model: googlenet Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.44, N = 3 SE +/- 0.25, N = 3 SE +/- 0.32, N = 15 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.22, N = 15 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 13.14 14.20 9.77 17.14 16.05 11.10 9.14 15.69 19.53 MIN: 12.54 / MAX: 14.82 MIN: 13.6 / MAX: 77.96 MIN: 7.94 / MAX: 16.95 MIN: 16.98 / MAX: 18.31 MIN: 15.9 / MAX: 16.27 MIN: 8.95 / MAX: 16.88 MIN: 9.01 / MAX: 9.4 MIN: 15.5 / MAX: 16.15 MIN: 19.33 / MAX: 20.06 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 30 60 90 120 150 SE +/- 0.47, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 4 SE +/- 0.03, N = 3 SE +/- 0.23, N = 3 SE +/- 0.19, N = 4 SE +/- 0.23, N = 3 SE +/- 0.09, N = 4 SE +/- 0.03, N = 3 76.3 60.5 92.4 55.0 53.2 86.5 78.4 113.4 57.9 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.08, N = 8 SE +/- 0.27, N = 7 SE +/- 0.10, N = 9 SE +/- 0.29, N = 7 SE +/- 0.03, N = 7 SE +/- 0.03, N = 9 SE +/- 0.03, N = 9 SE +/- 0.24, N = 8 SE +/- 0.06, N = 7 53.90 69.94 40.81 83.96 85.04 43.17 48.18 53.36 74.65 MIN: 53.51 / MAX: 54.47 MIN: 68.3 / MAX: 79.6 MIN: 39.54 / MAX: 42.45 MIN: 83.12 / MAX: 87.16 MIN: 84.69 / MAX: 85.77 MIN: 42.1 / MAX: 44.39 MIN: 46.96 / MAX: 49.11 MIN: 52.02 / MAX: 55.15 MIN: 74.18 / MAX: 75.25 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 14 28 42 56 70 SE +/- 0.25, N = 3 SE +/- 0.22, N = 3 SE +/- 0.04, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 38.26 55.12 31.21 62.95 64.47 34.25 40.04 41.04 63.36
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.05, N = 15 SE +/- 0.00, N = 3 SE +/- 0.06, N = 11 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 +/- 0.00, N = 3 5.47 4.39 7.64 3.78 3.72 7.30 6.56 5.93 4.04 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 7.00 5.99 9.32 4.54 5.62 8.80 8.16 5.85 5.01
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20K 40K 60K 80K 100K SE +/- 163.68, N = 3 SE +/- 116.05, N = 3 SE +/- 645.28, N = 3 SE +/- 60.96, N = 3 SE +/- 104.51, N = 3 SE +/- 162.20, N = 3 SE +/- 274.81, N = 3 SE +/- 270.52, N = 3 SE +/- 421.76, N = 3 75943 59075 99096 48946 48338 94330 83897 75068 53629 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.0801 0.1602 0.2403 0.3204 0.4005 SE +/- 0.000, N = 4 SE +/- 0.002, N = 4 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 0.278 0.313 0.174 0.343 0.356 0.184 0.195 0.213 0.330
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 200 400 600 800 1000 SE +/- 0.99, N = 3 SE +/- 1.71, N = 3 SE +/- 1.51, N = 3 SE +/- 1.89, N = 3 SE +/- 2.13, N = 3 SE +/- 0.43, N = 3 SE +/- 1.75, N = 3 SE +/- 2.02, N = 3 SE +/- 1.13, N = 3 508.7 628.5 429.1 862.6 876.8 456.6 507.1 536.6 758.6 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 300K 600K 900K 1200K 1500K SE +/- 2302.38, N = 3 SE +/- 3058.44, N = 3 SE +/- 5465.24, N = 4 SE +/- 1081.79, N = 3 SE +/- 881.56, N = 3 SE +/- 2958.80, N = 4 SE +/- 1357.44, N = 4 SE +/- 3447.76, N = 3 SE +/- 595.98, N = 3 902784 754471 1422068 724916 710322 1345390 1211698 1157330 827829
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5000M 10000M 15000M 20000M 25000M SE +/- 15833242.57, N = 3 SE +/- 6264661.26, N = 3 SE +/- 12372809.64, N = 3 SE +/- 149860.53, N = 3 SE +/- 230354.78, N = 3 SE +/- 18429785.49, N = 3 SE +/- 15500411.55, N = 3 SE +/- 71670732.08, N = 3 SE +/- 238326.30, N = 3 14094024590 5737760317 24194561627 1992066567 1945793213 14784567497 8761398953 6961705463 1430848187 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.3562 0.7124 1.0686 1.4248 1.781 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 1.032 1.158 0.797 1.568 1.583 0.829 0.928 1.031 1.428
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 80 160 240 320 400 SE +/- 0.11, N = 3 SE +/- 0.74, N = 3 SE +/- 0.36, N = 4 SE +/- 0.16, N = 3 SE +/- 0.35, N = 3 SE +/- 1.14, N = 4 SE +/- 0.27, N = 4 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 244.86 274.77 178.68 345.78 354.73 193.89 211.29 268.74 339.06 MIN: 244.03 / MAX: 247.02 MIN: 271.34 / MAX: 299.71 MIN: 168.53 / MAX: 247.44 MIN: 343.82 / MAX: 355.1 MIN: 352.67 / MAX: 357.2 MIN: 180.78 / MAX: 254.16 MIN: 205.1 / MAX: 218.73 MIN: 266.31 / MAX: 274.11 MIN: 338.34 / MAX: 339.92 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.8944 1.7888 2.6832 3.5776 4.472 SE +/- 0.036, N = 3 SE +/- 0.028, N = 3 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 SE +/- 0.016, N = 3 SE +/- 0.029, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 15 SE +/- 0.007, N = 3 2.409 2.741 2.442 3.027 2.855 2.259 2.020 2.472 3.975 MIN: 2.31 / MAX: 3.24 MIN: 2.69 / MAX: 43.03 MIN: 2.39 / MAX: 9.39 MIN: 2.85 / MAX: 11.15 MIN: 2.74 / MAX: 3.68 MIN: 2.21 / MAX: 3.04 MIN: 1.99 / MAX: 9.3 MIN: 2.38 / MAX: 3.64 MIN: 3.92 / MAX: 5.02 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 70 140 210 280 350 SE +/- 0.58, N = 3 SE +/- 0.58, N = 3 SE +/- 1.76, N = 3 SE +/- 2.00, N = 3 SE +/- 0.67, N = 3 SE +/- 2.03, N = 3 SE +/- 1.33, N = 3 SE +/- 2.40, N = 3 SE +/- 0.88, N = 3 218 187 303 158 154 290 262 221 156 1. chrome 96.0.4664.110
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 14 28 42 56 70 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.32, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 47.40 43.23 64.30 33.10 32.70 62.60 56.20 49.60 34.57 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 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 1.27 1.01 1.73 0.88 0.88 1.62 1.46 1.28 0.94 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 8 16 24 32 40 SE +/- 0.11, N = 6 SE +/- 0.19, N = 6 SE +/- 0.05, N = 6 SE +/- 0.19, N = 6 SE +/- 0.06, N = 6 SE +/- 0.09, N = 6 SE +/- 0.04, N = 6 SE +/- 0.16, N = 6 SE +/- 0.12, N = 6 23.09 27.62 17.97 34.65 35.24 18.97 21.01 25.03 32.31 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 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 4.70 3.91 6.61 3.47 3.39 6.23 5.57 5.24 3.59 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 50 100 150 200 250 SE +/- 0.52, N = 3 SE +/- 0.08, N = 3 SE +/- 1.44, N = 3 SE +/- 2.61, N = 3 SE +/- 0.36, N = 3 SE +/- 0.57, N = 3 SE +/- 0.40, N = 3 SE +/- 1.90, N = 3 SE +/- 2.99, N = 3 142.73 182.91 109.51 200.21 201.05 118.61 129.84 152.37 212.11
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1.0688 2.1376 3.2064 4.2752 5.344 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.67 2.77 4.75 2.46 2.49 4.56 4.10 3.71 2.60 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 40 80 120 160 200 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.25, N = 4 SE +/- 0.07, N = 3 SE +/- 0.28, N = 3 SE +/- 0.94, N = 4 SE +/- 0.26, N = 3 SE +/- 0.18, N = 4 SE +/- 0.09, N = 3 155.1 106.2 201.8 109.4 105.9 188.6 169.0 173.8 116.0 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 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 = 4 SE +/- 0.000, N = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 0.193 0.244 0.137 0.255 0.260 0.144 0.159 0.183 0.244
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 13K 26K 39K 52K 65K SE +/- 845.01, N = 3 SE +/- 435.22, N = 8 SE +/- 1178.15, N = 12 SE +/- 343.10, N = 3 SE +/- 158.56, N = 3 SE +/- 563.33, N = 15 SE +/- 383.94, N = 4 SE +/- 412.47, N = 15 SE +/- 424.39, N = 15 59877 51745 50173 41734 42641 52105 31560 35236 46684 -fPIC -shared -ldl -lm -lpthread -lrt -fPIC -shared -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -fPIC -shared -fPIC -shared -fPIC -shared -ldl -lm -lpthread -lrt 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.056, N = 15 SE +/- 0.060, N = 15 SE +/- 0.045, N = 8 SE +/- 0.059, N = 15 SE +/- 0.060, N = 15 SE +/- 0.048, N = 7 SE +/- 0.060, N = 6 SE +/- 0.048, N = 15 SE +/- 0.064, N = 15 7.178 8.448 5.208 9.727 9.868 5.403 5.990 6.496 9.694
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 60 120 180 240 300 SE +/- 1.50, N = 3 SE +/- 0.52, N = 3 SE +/- 2.27, N = 3 SE +/- 1.25, N = 3 SE +/- 0.40, N = 3 SE +/- 1.37, N = 3 SE +/- 1.07, N = 2 SE +/- 1.09, N = 3 SE +/- 0.88, N = 3 203.58 156.29 261.80 140.77 139.61 250.65 225.26 199.13 138.47 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.063, N = 5 SE +/- 0.054, N = 11 SE +/- 0.075, N = 15 SE +/- 0.071, N = 5 SE +/- 0.065, N = 5 SE +/- 0.083, N = 15 SE +/- 0.078, N = 9 SE +/- 0.063, N = 5 SE +/- 0.067, N = 6 9.968 7.371 12.024 6.432 6.378 10.361 9.496 8.996 6.715
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 10 20 30 40 50 SE +/- 0.43, N = 3 SE +/- 0.48, N = 3 SE +/- 0.60, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 1.43, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 15 SE +/- 0.02, N = 3 32.02 30.71 23.70 28.48 27.20 28.90 23.10 29.28 43.11 MIN: 30.58 / MAX: 42.6 MIN: 29.91 / MAX: 79.18 MIN: 22.6 / MAX: 36.07 MIN: 28.05 / MAX: 39.92 MIN: 26.79 / MAX: 33.66 MIN: 26.47 / MAX: 35.83 MIN: 22.88 / MAX: 30.06 MIN: 27.49 / MAX: 39 MIN: 42.88 / MAX: 52.4 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 40M 80M 120M 160M 200M SE +/- 970108.81, N = 3 SE +/- 185592.15, N = 3 SE +/- 907377.17, N = 3 SE +/- 788106.03, N = 3 SE +/- 560753.46, N = 3 SE +/- 1201388.09, N = 3 SE +/- 2061386.50, N = 15 SE +/- 371184.29, N = 3 SE +/- 895048.11, N = 3 171233333 143933333 195700000 110566667 106733333 184100000 152760000 189733333 114133333 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4 8 12 16 20 SE +/- 0.016, N = 5 SE +/- 0.019, N = 4 SE +/- 0.004, N = 5 SE +/- 0.010, N = 4 SE +/- 0.003, N = 4 SE +/- 0.005, N = 5 SE +/- 0.017, N = 5 SE +/- 0.006, N = 5 SE +/- 0.008, N = 4 9.072 10.914 7.479 13.520 13.684 7.718 8.518 8.923 12.084
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++ Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 50K 100K 150K 200K 250K SE +/- 648.93, N = 3 SE +/- 585.95, N = 3 SE +/- 648.93, N = 3 SE +/- 1117.04, N = 3 SE +/- 100.00, N = 3 SE +/- 33.33, N = 3 SE +/- 120.19, N = 3 SE +/- 321.46, N = 3 SE +/- 166.67, N = 3 206933 166500 225167 124633 123200 213133 190733 203900 134767 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.51, N = 3 SE +/- 0.66, N = 3 SE +/- 0.46, N = 3 SE +/- 0.08, N = 3 SE +/- 0.60, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 68.08 48.66 77.95 44.44 42.68 74.01 66.28 68.05 50.14 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 8 16 24 32 40 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 1.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 1.19, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 15 SE +/- 0.02, N = 3 22.63 22.96 20.01 25.31 24.05 18.76 19.89 27.19 34.23 MIN: 22.2 / MAX: 24.32 MIN: 22.46 / MAX: 79.22 MIN: 18.57 / MAX: 31.93 MIN: 25.07 / MAX: 30.92 MIN: 23.67 / MAX: 30.81 MIN: 17.48 / MAX: 23.66 MIN: 19.77 / MAX: 36.32 MIN: 25.6 / MAX: 66.51 MIN: 34.06 / MAX: 43.92 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 10 20 30 40 50 SE +/- 0.02, N = 5 SE +/- 0.13, N = 4 SE +/- 0.27, N = 6 SE +/- 0.02, N = 4 SE +/- 0.03, N = 4 SE +/- 0.23, N = 6 SE +/- 0.11, N = 6 SE +/- 0.06, N = 5 SE +/- 0.06, N = 4 34.35 23.49 42.66 23.90 23.43 41.15 35.77 34.91 25.05 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.086, N = 3 SE +/- 0.017, N = 3 SE +/- 0.147, N = 3 SE +/- 0.007, N = 3 SE +/- 0.034, N = 3 SE +/- 0.203, N = 3 SE +/- 0.008, N = 3 SE +/- 0.011, N = 15 SE +/- 0.006, N = 3 4.623 4.119 4.255 4.582 4.526 4.546 3.530 4.040 6.404 MIN: 4.46 / MAX: 15.11 MIN: 4.07 / MAX: 47.61 MIN: 3.9 / MAX: 12.18 MIN: 4.49 / MAX: 11.84 MIN: 4.41 / MAX: 4.83 MIN: 4.31 / MAX: 5.04 MIN: 3.48 / MAX: 6.67 MIN: 3.89 / MAX: 13.15 MIN: 6.34 / MAX: 6.71 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 20 40 60 80 100 SE +/- 0.56, N = 3 SE +/- 0.35, N = 15 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 66.92 49.60 76.47 43.19 42.49 72.30 64.74 66.52 49.14 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 4 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 4 SE +/- 0.01, N = 4 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 17.52 23.94 14.07 24.86 25.06 14.90 16.54 18.53 22.81
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 80K 160K 240K 320K 400K SE +/- 2040.73, N = 3 SE +/- 142.80, N = 3 SE +/- 508.54, N = 3 SE +/- 474.85, N = 3 SE +/- 1392.64, N = 3 SE +/- 427.66, N = 3 SE +/- 204.22, N = 3 SE +/- 30.83, N = 3 SE +/- 251.11, N = 3 308627 230191 389601 225590 220087 367882 329402 328476 248797 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.9241 1.8482 2.7723 3.6964 4.6205 SE +/- 0.035, N = 3 SE +/- 0.010, N = 3 SE +/- 0.017, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.011, N = 15 SE +/- 0.001, N = 3 2.337 3.160 2.887 3.423 3.327 2.365 2.830 3.666 4.107 MIN: 2.26 / MAX: 2.58 MIN: 3.12 / MAX: 31.5 MIN: 2.84 / MAX: 7.74 MIN: 3.36 / MAX: 4.6 MIN: 3.27 / MAX: 3.51 MIN: 2.34 / MAX: 2.6 MIN: 2.81 / MAX: 3.08 MIN: 3.47 / MAX: 12.5 MIN: 4.08 / MAX: 4.41 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4 8 12 16 20 SE +/- 0.009, N = 5 SE +/- 0.059, N = 4 SE +/- 0.018, N = 5 SE +/- 0.001, N = 4 SE +/- 0.010, N = 4 SE +/- 0.029, N = 5 SE +/- 0.016, N = 5 SE +/- 0.007, N = 5 SE +/- 0.021, N = 4 9.889 11.626 8.007 13.546 13.729 8.236 8.902 9.252 12.542
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 SE +/- 0.48, N = 4 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.38, N = 3 168.5 151.1 161.9 111.0 108.6 152.3 136.5 185.6 115.0 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 130 260 390 520 650 SE +/- 0.50, N = 3 SE +/- 1.80, N = 3 SE +/- 3.11, N = 3 SE +/- 0.95, N = 3 SE +/- 0.33, N = 3 SE +/- 3.85, N = 3 SE +/- 0.78, N = 3 SE +/- 2.04, N = 3 SE +/- 0.38, N = 3 538.0 401.9 621.1 373.1 368.5 587.8 522.5 490.3 388.2 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 40 80 120 160 200 SE +/- 0.61, N = 3 SE +/- 0.53, N = 3 SE +/- 0.71, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.45, N = 3 SE +/- 0.50, N = 3 SE +/- 0.61, N = 3 SE +/- 0.12, N = 3 178.2 160.2 182.3 121.2 119.4 173.5 154.7 200.6 127.1 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.0347 0.0694 0.1041 0.1388 0.1735 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.111 0.125 0.092 0.153 0.154 0.094 0.105 0.108 0.139
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 130 260 390 520 650 SE +/- 1.65, N = 4 SE +/- 2.88, N = 3 SE +/- 3.84, N = 4 SE +/- 0.76, N = 3 SE +/- 0.23, N = 3 SE +/- 1.62, N = 4 SE +/- 1.06, N = 4 SE +/- 0.88, N = 4 SE +/- 0.35, N = 3 536.2 399.1 623.1 379.7 372.4 593.2 534.0 494.3 399.3 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 120 240 360 480 600 SE +/- 1.07, N = 4 SE +/- 1.64, N = 4 SE +/- 4.35, N = 5 SE +/- 1.46, N = 3 SE +/- 0.29, N = 3 SE +/- 2.08, N = 4 SE +/- 3.21, N = 4 SE +/- 1.56, N = 4 SE +/- 0.32, N = 4 491.5 375.3 568.1 348.6 340.6 538.4 478.8 453.7 367.5 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3M 6M 9M 12M 15M SE +/- 11999.62, N = 3 SE +/- 15087.44, N = 3 SE +/- 29295.13, N = 4 SE +/- 39880.73, N = 3 SE +/- 7828.13, N = 3 SE +/- 10715.53, N = 4 SE +/- 14452.06, N = 3 SE +/- 15181.16, N = 3 SE +/- 8939.22, N = 3 11022827 8828760 12633117 7774578 7614249 11890651 10631427 10448670 8206058 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 120 240 360 480 600 SE +/- 0.18, N = 3 SE +/- 0.10, N = 3 SE +/- 1.36, N = 3 SE +/- 0.67, N = 3 SE +/- 0.43, N = 3 SE +/- 5.75, N = 4 SE +/- 1.07, N = 3 SE +/- 0.38, N = 3 SE +/- 0.78, N = 3 491.4 376.0 551.0 342.4 336.3 523.5 470.9 450.6 355.5 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3K 6K 9K 12K 15K SE +/- 3.39, N = 3 SE +/- 11.50, N = 15 SE +/- 259.08, N = 3 SE +/- 3.30, N = 3 SE +/- 22.68, N = 3 SE +/- 18.97, N = 3 SE +/- 22.86, N = 3 SE +/- 4.42, N = 3 SE +/- 10.23, N = 3 12083.4 10514.2 11991.2 9110.2 10420.6 13475.5 12982.9 8251.9 9390.4 1. (CC) gcc options: -O3
OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3K 6K 9K 12K 15K SE +/- 54.05, N = 3 SE +/- 37.63, N = 3 SE +/- 275.85, N = 3 SE +/- 5.26, N = 3 SE +/- 10.12, N = 3 SE +/- 15.80, N = 3 SE +/- 16.48, N = 3 SE +/- 12.08, N = 3 SE +/- 6.83, N = 3 12031.8 10294.7 12007.7 9103.1 10428.6 13431.3 12950.9 8238.2 9388.8 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.4327 0.8654 1.2981 1.7308 2.1635 SE +/- 0.013, N = 8 SE +/- 0.016, N = 3 SE +/- 0.007, N = 15 SE +/- 0.015, N = 9 SE +/- 0.012, N = 15 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.011, N = 3 SE +/- 0.021, N = 3 1.493 1.657 1.217 1.923 1.772 1.193 1.324 1.720 1.772
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.4354 0.8708 1.3062 1.7416 2.177 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.013, N = 15 SE +/- 0.010, N = 3 SE +/- 0.007, N = 3 1.354 1.553 1.225 1.935 1.899 1.209 1.338 1.644 1.812
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 4 8 12 16 20 SE +/- 0.022, N = 4 SE +/- 0.043, N = 4 SE +/- 0.022, N = 5 SE +/- 0.011, N = 3 SE +/- 0.011, N = 3 SE +/- 0.013, N = 5 SE +/- 0.007, N = 5 SE +/- 0.017, N = 4 SE +/- 0.025, N = 3 11.748 13.229 9.906 15.795 15.833 10.015 10.426 11.318 15.782
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.3944 0.7888 1.1832 1.5776 1.972 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.011, N = 3 SE +/- 0.016, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 15 SE +/- 0.003, N = 3 1.233 1.261 1.162 1.487 1.480 1.199 1.103 1.140 1.753 MIN: 1.19 / MAX: 1.42 MIN: 1.24 / MAX: 1.54 MIN: 1.13 / MAX: 3.35 MIN: 1.42 / MAX: 2.65 MIN: 1.41 / MAX: 2.81 MIN: 1.17 / MAX: 1.52 MIN: 1.08 / MAX: 1.25 MIN: 1.02 / MAX: 1.81 MIN: 1.73 / MAX: 2.14 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.9293 1.8586 2.7879 3.7172 4.6465 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 14 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 2.60 3.11 2.96 3.95 3.95 3.19 2.87 2.97 4.13 MIN: 2.51 / MAX: 3.91 MIN: 3.05 / MAX: 11.08 MIN: 2.51 / MAX: 4.26 MIN: 3.81 / MAX: 11.08 MIN: 3.86 / MAX: 10.95 MIN: 2.8 / MAX: 4.41 MIN: 2.82 / MAX: 3.62 MIN: 2.89 / MAX: 3.8 MIN: 4.06 / MAX: 5.03 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1000 2000 3000 4000 5000 SE +/- 8.93, N = 3 SE +/- 8.40, N = 3 SE +/- 2.83, N = 4 SE +/- 8.34, N = 3 SE +/- 5.22, N = 3 SE +/- 3.82, N = 3 SE +/- 3.32, N = 3 SE +/- 14.01, N = 3 SE +/- 1.53, N = 3 3927.2 3434.9 4550.2 2879.8 2952.3 4483.2 4096.0 4190.3 3274.5 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 50 100 150 200 250 SE +/- 0.48, N = 4 SE +/- 0.47, N = 3 SE +/- 0.99, N = 4 SE +/- 0.12, N = 3 SE +/- 0.46, N = 3 SE +/- 0.59, N = 4 SE +/- 0.55, N = 4 SE +/- 0.10, N = 4 SE +/- 0.15, N = 3 187.8 171.4 225.2 146.5 142.6 213.7 190.2 212.4 153.1 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.23, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6.80 7.12 6.87 8.03 8.06 7.39 5.97 7.07 9.42 MIN: 6.59 / MAX: 7.57 MIN: 6.98 / MAX: 7.34 MIN: 5.93 / MAX: 21.93 MIN: 7.97 / MAX: 12.38 MIN: 7.99 / MAX: 8.52 MIN: 6.21 / MAX: 9.31 MIN: 5.92 / MAX: 6.73 MIN: 6.96 / MAX: 7.56 MIN: 9.36 / MAX: 9.63 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.06, N = 4 SE +/- 0.16, N = 4 SE +/- 0.05, N = 4 SE +/- 0.16, N = 4 SE +/- 0.18, N = 4 SE +/- 0.04, N = 4 SE +/- 0.08, N = 4 SE +/- 0.09, N = 4 SE +/- 0.20, N = 4 14.29 17.59 13.24 20.41 20.81 13.86 15.61 14.77 18.67
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1000 2000 3000 4000 5000 SE +/- 21.38, N = 3 SE +/- 4.77, N = 3 SE +/- 2.88, N = 3 SE +/- 7.41, N = 3 SE +/- 4.18, N = 3 SE +/- 3.15, N = 3 SE +/- 1.52, N = 3 SE +/- 8.35, N = 3 SE +/- 1.11, N = 3 3939.8 3467.3 4679.8 2980.0 3053.5 4604.2 4218.0 4264.6 3357.3 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.018, N = 7 SE +/- 0.061, N = 6 SE +/- 0.024, N = 7 SE +/- 0.029, N = 6 SE +/- 0.042, N = 6 SE +/- 0.020, N = 7 SE +/- 0.017, N = 7 SE +/- 0.015, N = 7 SE +/- 0.041, N = 6 5.854 6.783 4.895 7.631 7.477 4.932 5.452 5.731 7.018
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.2453 0.4906 0.7359 0.9812 1.2265 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.03 0.84 1.09 0.70 0.71 1.06 0.95 0.99 0.76 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1.3372 2.6744 4.0116 5.3488 6.686 SE +/- 0.012, N = 8 SE +/- 0.036, N = 7 SE +/- 0.006, N = 8 SE +/- 0.021, N = 7 SE +/- 0.039, N = 6 SE +/- 0.007, N = 8 SE +/- 0.013, N = 8 SE +/- 0.006, N = 8 SE +/- 0.013, N = 7 4.112 4.903 3.827 5.796 5.943 3.967 4.441 4.209 5.444
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 5 10 15 20 25 SE +/- 0.00, N = 4 SE +/- 0.08, N = 4 SE +/- 0.00, N = 4 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 4 SE +/- 0.02, N = 4 SE +/- 0.07, N = 4 SE +/- 0.05, N = 3 13.66 16.40 12.52 18.95 19.38 13.18 14.66 14.98 17.59 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 60 120 180 240 300 SE +/- 0.37, N = 3 SE +/- 0.22, N = 3 SE +/- 0.84, N = 3 SE +/- 0.20, N = 3 SE +/- 0.96, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.95, N = 3 SE +/- 0.73, N = 3 253.06 223.88 277.50 183.73 179.33 261.90 234.39 245.12 197.15 -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 50 100 150 200 250 SE +/- 0.43, N = 4 SE +/- 1.08, N = 4 SE +/- 0.97, N = 5 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.21, N = 4 SE +/- 0.73, N = 4 SE +/- 0.18, N = 4 SE +/- 0.20, N = 4 180.5 162.2 206.3 138.4 135.1 194.5 172.4 196.2 144.6 -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -lconfig++ -lsctp -mavx512f -mavx512cd -mavx512bw -mavx512dq -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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.6374 1.2748 1.9122 2.5496 3.187 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 2.207 2.571 1.953 2.833 2.652 1.879 1.861 2.423 2.620
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.797 1.594 2.391 3.188 3.985 SE +/- 0.044, N = 3 SE +/- 0.021, N = 3 SE +/- 0.265, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.172, N = 3 SE +/- 0.007, N = 3 SE +/- 0.012, N = 15 SE +/- 0.010, N = 3 2.798 2.740 2.843 2.784 2.813 2.577 2.354 2.703 3.542 MIN: 2.7 / MAX: 3.25 MIN: 2.69 / MAX: 42.68 MIN: 2.28 / MAX: 3.69 MIN: 2.68 / MAX: 3.32 MIN: 2.72 / MAX: 3.32 MIN: 2.38 / MAX: 9.24 MIN: 2.32 / MAX: 2.59 MIN: 2.57 / MAX: 11.59 MIN: 3.49 / MAX: 3.83 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 2 4 6 8 10 SE +/- 0.005, N = 7 SE +/- 0.014, N = 6 SE +/- 0.007, N = 7 SE +/- 0.007, N = 6 SE +/- 0.008, N = 6 SE +/- 0.002, N = 7 SE +/- 0.003, N = 6 SE +/- 0.006, N = 7 SE +/- 0.010, N = 6 5.605 7.093 5.235 7.646 7.793 5.539 6.190 5.776 7.023 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.394 0.788 1.182 1.576 1.97 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 SE +/- 0.018, N = 4 SE +/- 0.000, N = 3 SE +/- 0.014, N = 5 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 1.280 1.453 1.296 1.556 1.427 1.216 1.319 1.751 1.469
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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 50 100 150 200 250 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.25, N = 3 229.53 184.42 238.43 173.16 170.03 225.21 201.76 216.61 181.70 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 50K 100K 150K 200K 250K SE +/- 264.58, N = 3 SE +/- 185.59, N = 3 SE +/- 1121.51, N = 3 SE +/- 832.67, N = 3 SE +/- 1286.25, N = 3 SE +/- 2216.85, N = 3 SE +/- 2425.79, N = 3 SE +/- 317.98, N = 3 SE +/- 1211.52, N = 3 232100 204233 255567 191900 188133 245533 221167 240833 202633 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 800 1600 2400 3200 4000 SE +/- 4.10, N = 3 SE +/- 13.00, N = 3 SE +/- 28.05, N = 3 SE +/- 6.12, N = 3 SE +/- 3.79, N = 3 SE +/- 10.33, N = 3 SE +/- 32.53, N = 3 SE +/- 0.33, N = 3 SE +/- 6.36, N = 3 2788 3091 2595 3515 3433 2617 2700 2794 3378 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 400 800 1200 1600 2000 SE +/- 0.38, N = 9 SE +/- 4.96, N = 8 SE +/- 27.84, N = 15 SE +/- 1.25, N = 8 SE +/- 1.39, N = 8 SE +/- 23.05, N = 15 SE +/- 23.38, N = 15 SE +/- 1.57, N = 9 SE +/- 1.62, N = 8 1474.96 1372.97 1655.33 1245.82 1242.40 1556.07 1386.75 1523.19 1294.98 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 3K 6K 9K 12K 15K SE +/- 203.05, N = 15 SE +/- 43.43, N = 5 SE +/- 165.18, N = 15 SE +/- 95.47, N = 5 SE +/- 60.86, N = 13 SE +/- 324.13, N = 12 SE +/- 255.92, N = 15 SE +/- 466.13, N = 12 SE +/- 137.53, N = 4 7447 11022 8841 10214 8975 10012 10349 11629 11746 -fPIC -shared -ldl -lm -lpthread -lrt -fPIC -shared -ldl -lm -lpthread -lrt -ldl -lm -lpthread -lrt -fPIC -shared -fPIC -shared -fPIC -shared -ldl -lm -lpthread -lrt 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 1000 2000 3000 4000 5000 SE +/- 250.26, N = 12 SE +/- 181.62, N = 12 SE +/- 1.20, N = 3 SE +/- 21.08, N = 3 SE +/- 9.96, N = 3 SE +/- 2.24, N = 3 SE +/- 6.25, N = 3 SE +/- 125.55, N = 12 SE +/- 4.76, N = 3 3854 2314 4677 2264 2222 4215 2986 4478 2922 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 Ryzen 7 5700G Ryzen 3 3300X Core i9 12900K Core i5 9400F Core i5 8400 Core i5 12600K Core i5 12400 Core i5 11600K Core i3 10100 0.342 0.684 1.026 1.368 1.71 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.21 1.52 1.37 1.37 1.39 1.43 1.08 1.12 1.51 MIN: 1.17 / MAX: 1.35 MIN: 1.32 / MAX: 65.44 MIN: 1.09 / MAX: 1.82 MIN: 1.34 / MAX: 2.6 MIN: 1.36 / MAX: 1.51 MIN: 1.13 / MAX: 1.69 MIN: 1.06 / MAX: 1.24 MIN: 1.09 / MAX: 1.53 MIN: 1.48 / MAX: 1.63 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.