Benchmarks by Michael Larabel.
Ryzen 5 8600G Processor: AMD Ryzen 5 8600G @ 5.23GHz (6 Cores / 12 Threads), Motherboard: ASRock B650 Pro RS (2.06.AS03 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 16GB DRAM-6400MT/s F5-6400J3239G16G, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: AMD Phoenix1 512MB, Audio: AMD Rembrandt Radeon HD Audio, Monitor: MX279, Network: Realtek RTL8125 2.5GbE
OS: Ubuntu 23.10, Kernel: 6.7.3-060703-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2402040600.8368a9~oibaf~m (git-8368a97 2024-02-04 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.57), Compiler: GCC 13.2.0, 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,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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: NONE / relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705203Graphics Notes: BAR1 / Visible vRAM Size: 512 MBJava Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)Python Notes: Python 3.11.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Core i3 14100 Processor: Intel Core i3-14100 @ 4.70GHz (4 Cores / 8 Threads) , Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS) , Chipset: Intel Device 7a27 , Memory: 2 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36 , Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: ASUS Intel UHD 730 ADL-S GT1 16GB , Audio: Realtek ALC897 , Monitor: ASUS VP28U
OS: Ubuntu 23.10, Kernel: 6.7.3-060703-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2402040600.8368a9~oibaf~m (git-8368a97 2024-02-04 mantic-oibaf-ppa), Compiler: GCC 13.2.0, 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,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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: NONE / relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x32 - Thermald 2.5.4Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)Python Notes: Python 3.11.6Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Core i5 14500 Changed Processor to Intel Core i5-14500 @ 5.00GHz (14 Cores / 20 Threads) .
Changed Chipset to Intel Raptor Lake-S PCH .
Changed Graphics to ASUS Intel UHD 770 ADL-S GT1 16GB .
Core i5 14600K Changed Processor to Intel Core i5-14600K @ 5.30GHz (14 Cores / 20 Threads) .
Changed Graphics to ASUS Intel RPL-S 16GB .
Processor Change: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x11d - Thermald 2.5.4
Core i9 14900K Changed Processor to Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads) .
New CPU Benchmarks Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution Ryzen 5 8600G Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K AMD Ryzen 5 8600G @ 5.23GHz (6 Cores / 12 Threads) ASRock B650 Pro RS (2.06.AS03 BIOS) AMD Device 14e8 2 x 16GB DRAM-6400MT/s F5-6400J3239G16G Western Digital WD_BLACK SN850X 2000GB AMD Phoenix1 512MB AMD Rembrandt Radeon HD Audio MX279 Realtek RTL8125 2.5GbE Ubuntu 23.10 6.7.3-060703-generic (x86_64) GNOME Shell 45.2 X Server + Wayland 4.6 Mesa 24.1~git2402040600.8368a9~oibaf~m (git-8368a97 2024-02-04 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.57) GCC 13.2.0 ext4 1920x1080 Intel Core i3-14100 @ 4.70GHz (4 Cores / 8 Threads) ASUS PRIME Z790-P WIFI (1402 BIOS) Intel Device 7a27 2 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36 ASUS Intel UHD 730 ADL-S GT1 16GB Realtek ALC897 ASUS VP28U 4.6 Mesa 24.1~git2402040600.8368a9~oibaf~m (git-8368a97 2024-02-04 mantic-oibaf-ppa) Intel Core i5-14500 @ 5.00GHz (14 Cores / 20 Threads) Intel Raptor Lake-S PCH ASUS Intel UHD 770 ADL-S GT1 16GB Intel Core i5-14600K @ 5.30GHz (14 Cores / 20 Threads) ASUS Intel RPL-S 16GB Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads) OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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 -v Disk Details - NONE / relatime,rw / Block Size: 4096 Processor Details - Ryzen 5 8600G: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705203 - Core i3 14100: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x32 - Thermald 2.5.4 - Core i5 14500: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x32 - Thermald 2.5.4 - Core i5 14600K: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x11d - Thermald 2.5.4 - Core i9 14900K: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x11d - Thermald 2.5.4 Graphics Details - Ryzen 5 8600G: BAR1 / Visible vRAM Size: 512 MB Java Details - OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10) Python Details - Python 3.11.6 Security Details - Ryzen 5 8600G: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Core i3 14100: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Core i5 14500: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Core i5 14600K: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Core i9 14900K: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 5 8600G Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Logarithmic Result Overview Phoronix Test Suite John The Ripper toyBrot Fractal Generator Cpuminer-Opt TensorFlow Lite asmFish m-queens Stockfish N-Queens Memcached C-Ray OpenSSL GpuTest 7-Zip Compression nginx IndigoBench Aircrack-ng Chaos Group V-RAY NAMD Tachyon WebP2 Image Encode Blender Embree Timed Linux Kernel Compilation GLmark2 Timed LLVM Compilation Timed Node.js Compilation LAMMPS Molecular Dynamics Simulator SVT-HEVC ASTC Encoder Timed Godot Game Engine Compilation CockroachDB LeelaChessZero Timed FFmpeg Compilation uvg266 x264 PostgreSQL Apache HTTP Server ParaView OSPRay Studio Primesieve Appleseed Timed Mesa Compilation Xmrig OpenVKL Kvazaar rays1bench RocksDB ScyllaDB NCNN SVT-VP9 libavif avifenc OSPRay Timed ImageMagick Compilation Intel Open Image Denoise ctx_clock Speedb VKMark Apache CouchDB GraphicsMagick Darktable yquake2 SVT-AV1 Apache Spark TPC-H Stargate Digital Audio Workstation Unigine Superposition GravityMark Unvanquished Y-Cruncher VVenC Warsow DDraceNetwork Perl Benchmarks QuantLib OpenRadioss Unigine Valley easyWave librsvg Xonotic x265 Whisper.cpp Pennant Helsing Quicksilver PyTorch Xcompact3d Incompact3d NAS Parallel Benchmarks ClickHouse OpenVINO Timed GDB GNU Debugger Compilation WireGuard + Linux Networking Stack Stress Test rav1e Coremark CloverLeaf DaCapo Benchmark Ngspice SQLite Speedtest RawTherapee Apache Spark TPC-DS Zstd Compression miniFE JPEG XL Decoding libjxl Liquid-DSP FFmpeg Llamafile TensorFlow ET: Legacy PyBench LuaRadio PHPBench Algebraic Multi-Grid Benchmark Z3 Theorem Prover SQLite JPEG XL libjxl Llama.cpp Timed Apache Compilation Numpy Benchmark PyHPC Benchmarks Node.js V8 Web Tooling Benchmark G'MIC C-Blosc GNU Radio Renaissance Cryptsetup Redis libxsmm LibRaw eSpeak-NG Speech Engine WebP Image Encode SecureMark WavPack Audio Encoding libjpeg-turbo tjbench Git Ogg Audio Encoding LAME MP3 Encoding Optcarrot High Performance Conjugate Gradient simdjson LZ4 Compression FLAC Audio Encoding TSCP Selenium Inkscape RNNoise GEGL PyPerformance GIMP OpenSCAD GNU Octave Benchmark Sudokut
New CPU Benchmarks selenium: Speedometer - Firefox selenium: Speedometer - Google Chrome selenium: Octane - Firefox selenium: Octane - Google Chrome selenium: PSPDFKit WASM - Firefox selenium: PSPDFKit WASM - Google Chrome selenium: WASM collisionDetection - Firefox selenium: WASM collisionDetection - Google Chrome selenium: WASM imageConvolute - Firefox selenium: WASM imageConvolute - Google Chrome selenium: Kraken - Firefox selenium: Kraken - Google Chrome unigine-super: 1920 x 1080 - Fullscreen - Low - OpenGL unigine-valley: 1920 x 1080 - Fullscreen - OpenGL gravitymark: 1920 x 1080 - Vulkan 3dmark: 1920 x 1080 etlegacy: 1920 x 1080 yquake2: OpenGL 3.x - Off - Off - 1920 x 1080 yquake2: OpenGL 3.x - Off - On - 1920 x 1080 yquake2: OpenGL 3.x - On - Off - 1920 x 1080 yquake2: OpenGL 3.x - On - On - 1920 x 1080 yquake2: Vulkan - Off - Off - 1920 x 1080 yquake2: Vulkan - Off - On - 1920 x 1080 yquake2: Vulkan - On - Off - 1920 x 1080 yquake2: Vulkan - On - On - 1920 x 1080 ddnet: 1920 x 1080 - Fullscreen - Vulkan - Default - Multeasymap ddnet: 1920 x 1080 - Fullscreen - Vulkan - Default - RaiNyMore2 ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - Multeasymap ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - RaiNyMore2 warsow: 1920 x 1080 xonotic: 1920 x 1080 - Low xonotic: 1920 x 1080 - High xonotic: 1920 x 1080 - Ultra xonotic: 1920 x 1080 - Ultimate unvanquished: 1920 x 1080 - Medium unvanquished: 1920 x 1080 - High unvanquished: 1920 x 1080 - Ultra paraview: Many Spheres - 1920 x 1080 paraview: Many Spheres - 1920 x 1080 paraview: Wavelet Contour - 1920 x 1080 paraview: Wavelet Contour - 1920 x 1080 paraview: Wavelet Volume - 1920 x 1080 paraview: Wavelet Volume - 1920 x 1080 glmark2: 1920 x 1080 gputest: Furmark - 1920 x 1080 - Fullscreen gputest: TessMark - 1920 x 1080 - Fullscreen gputest: GiMark - 1920 x 1080 - Fullscreen gputest: Pixmark Piano - 1920 x 1080 - Fullscreen gputest: Pixmark Volplosion - 1920 x 1080 - Fullscreen gputest: Triangle - 1920 x 1080 - Fullscreen gputest: Plot3D - 1920 x 1080 - Fullscreen vkmark: 1920 x 1080 - Mailbox openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m ncnn: CPU - vision_transformer ncnn: CPU - FastestDet lczero: BLAS lczero: Eigen pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 256 - ResNet-50 pyhpc: CPU - Numpy - 4194304 - Equation of State pyhpc: CPU - Numpy - 4194304 - Isoneutral Mixing whisper-cpp: ggml-base.en - 2016 State of the Union whisper-cpp: ggml-small.en - 2016 State of the Union llama-cpp: llama-2-7b.Q4_0.gguf llama-cpp: llama-2-13b.Q4_0.gguf llamafile: mistral-7b-instruct-v0.2.Q8_0 - CPU llamafile: llava-v1.5-7b-q4 - CPU tensorflow: CPU - 1 - ResNet-50 tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: NASNet Mobile tensorflow-lite: SqueezeNet tensorflow-lite: Inception ResNet V2 tensorflow-lite: Inception V4 blender: BMW27 - CPU-Only blender: Fishy Cat - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only openvkl: vklBenchmarkCPU ISPC embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj embree: Pathtracer ISPC - Crown ospray: gravity_spheres_volume/dim_512/ao/real_time ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/pathtracer/real_time ospray: particle_volume/ao/real_time ospray: particle_volume/scivis/real_time ospray: particle_volume/pathtracer/real_time ospray-studio: 1 - 1080p - 1 - Path Tracer - CPU ospray-studio: 1 - 1080p - 32 - Path Tracer - CPU ospray-studio: 1 - 4K - 1 - Path Tracer - CPU ospray-studio: 1 - 4K - 32 - Path Tracer - CPU ospray-studio: 2 - 1080p - 1 - Path Tracer - CPU ospray-studio: 2 - 1080p - 32 - Path Tracer - CPU ospray-studio: 2 - 4K - 1 - Path Tracer - CPU ospray-studio: 2 - 4K - 32 - Path Tracer - CPU ospray-studio: 3 - 1080p - 1 - Path Tracer - CPU ospray-studio: 3 - 1080p - 32 - Path Tracer - CPU ospray-studio: 3 - 4K - 1 - Path Tracer - CPU ospray-studio: 3 - 4K - 32 - Path Tracer - CPU appleseed: Emily appleseed: Disney Material appleseed: Material Tester indigobench: CPU - Supercar indigobench: CPU - Bedroom v-ray: CPU rays1bench: Large Scene toybrot: OpenMP toybrot: C++ Tasks toybrot: C++ Threads toybrot: TBB build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-gdb: Time To Compile build-llvm: Ninja build-llvm: Unix Makefiles build-imagemagick: Time To Compile build-nodejs: Time To Compile build-godot: Time To Compile build-mesa: Time To Compile build-apache: Time To Compile build-ffmpeg: Time To Compile amg: lammps: Rhodopsin Protein easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 hpcg: 104 104 104 - 60 openradioss: Bird Strike on Windshield openradioss: Rubber O-Ring Seal Installation openradioss: Cell Phone Drop Test gromacs: MPI CPU - water_GMX50_bare namd: ATPase Simulation - 327,506 Atoms npb: BT.C npb: EP.C npb: FT.C npb: SP.B npb: SP.C npb: MG.C npb: CG.C cloverleaf: clover_bm cloverleaf: clover_bm64_short minife: Small libxsmm: 32 libxsmm: 64 quicksilver: CORAL2 P1 quicksilver: CORAL2 P2 quicksilver: CTS2 pennant: leblancbig pennant: sedovbig n-queens: Elapsed Time m-queens: Time To Solve incompact3d: input.i3d 129 Cells Per Direction incompact3d: input.i3d 193 Cells Per Direction xmrig: Monero - 1M xmrig: Wownero - 1M xmrig: CryptoNight-Femto UPX2 - 1M xmrig: CryptoNight-Heavy - 1M xmrig: KawPow - 1M xmrig: GhostRider - 1M cpuminer-opt: scrypt cpuminer-opt: Triple SHA-256, Onecoin cpuminer-opt: Quad SHA-256, Pyrite cpuminer-opt: Myriad-Groestl cpuminer-opt: Magi cpuminer-opt: Blake-2 S cpuminer-opt: Garlicoin cpuminer-opt: Ringcoin cpuminer-opt: Deepcoin cpuminer-opt: Skeincoin cpuminer-opt: LBC, LBRY Credits cryptsetup: PBKDF2-sha512 cryptsetup: PBKDF2-whirlpool cryptsetup: AES-XTS 256b Encryption cryptsetup: AES-XTS 256b Decryption cryptsetup: Serpent-XTS 256b Encryption cryptsetup: Serpent-XTS 256b Decryption cryptsetup: Twofish-XTS 256b Encryption cryptsetup: Twofish-XTS 256b Decryption cryptsetup: AES-XTS 512b Encryption cryptsetup: AES-XTS 512b Decryption cryptsetup: Serpent-XTS 512b Encryption cryptsetup: Serpent-XTS 512b Decryption cryptsetup: Twofish-XTS 512b Encryption cryptsetup: Twofish-XTS 512b Decryption openssl: RSA4096 openssl: RSA4096 openssl: SHA256 openssl: SHA512 openssl: AES-128-GCM openssl: AES-256-GCM openssl: ChaCha20 openssl: ChaCha20-Poly1305 y-cruncher: 500M y-cruncher: 1B aircrack-ng: john-the-ripper: MD5 john-the-ripper: Blowfish john-the-ripper: HMAC-SHA512 john-the-ripper: bcrypt john-the-ripper: WPA PSK helsing: 12 digit primesieve: 1e12 sudokut: Total Time stockfish: Total Time asmfish: 1024 Hash Memory, 26 Depth tachyon: Total Time tscp: AI Chess Performance c-ray: Total Time - 4K, 16 Rays Per Pixel jpegxl: JPEG - 80 jpegxl: JPEG - 90 jpegxl: JPEG - 100 jpegxl: PNG - 80 jpegxl: PNG - 90 jpegxl: PNG - 100 jpegxl-decode: 1 jpegxl-decode: All webp: Default webp: Quality 100 webp: Quality 100, Highest Compression webp: Quality 100, Lossless webp2: Default webp2: Quality 75, Compression Effort 7 webp2: Quality 95, Compression Effort 7 webp2: Quality 100, Compression Effort 5 avifenc: 0 avifenc: 2 avifenc: 6 avifenc: 6, Lossless avifenc: 10, Lossless graphics-magick: HWB Color Space graphics-magick: Noise-Gaussian graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Swirl astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive tjbench: Decompression Throughput x264: Bosphorus 1080p x264: Bosphorus 4K x265: Bosphorus 1080p x265: Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 4K svt-hevc: 1 - Bosphorus 4K svt-hevc: 7 - Bosphorus 4K svt-hevc: 10 - Bosphorus 4K svt-vp9: Visual Quality Optimized - Bosphorus 4K svt-vp9: PSNR/SSIM Optimized - Bosphorus 4K svt-vp9: VMAF Optimized - Bosphorus 4K kvazaar: Bosphorus 4K - Medium kvazaar: Bosphorus 4K - Very Fast kvazaar: Bosphorus 4K - Super Fast kvazaar: Bosphorus 4K - Ultra Fast rav1e: 10 rav1e: 6 rav1e: 5 rav1e: 1 vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Super Fast uvg266: Bosphorus 4K - Ultra Fast ffmpeg: libx265 - Live ffmpeg: libx265 - Upload ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand encode-ogg: WAV To Ogg encode-flac: WAV To FLAC encode-mp3: WAV To MP3 encode-wavpack: WAV To WavPack espeak: Text-To-Speech Synthesis rnnoise: blosc: blosclz shuffle - 256MB blosc: blosclz noshuffle - 256MB blosc: blosclz bitshuffle - 256MB apache: 1000 sqlite: 1 sqlite: 2 sqlite-speedtest: Timed Time - Size 1,000 memcached: 1:100 memcached: 1:10 redis: SET - 50 redis: GET - 50 couchdb: 100 - 1000 - 30 couchdb: 100 - 3000 - 30 couchdb: 300 - 1000 - 30 couchdb: 300 - 3000 - 30 couchdb: 500 - 1000 - 30 couchdb: 500 - 3000 - 30 rocksdb: Rand Read rocksdb: Read While Writing rocksdb: Read Rand Write Rand rocksdb: Update Rand speedb: Rand Read speedb: Read While Writing speedb: Read Rand Write Rand speedb: Update Rand scylladb: Writes nginx: 500 nginx: 1000 renaissance: Rand Forest renaissance: Finagle HTTP Requests dacapobench: Eclipse dacapobench: Apache Tomcat dacapobench: Jython dacapobench: Tradebeans dacapobench: Tradesoap dacapobench: GraphChi dacapobench: jMonkeyEngine spark-tpch: 10 - Geometric Mean Of All Queries spark-tpch: 10 - Q01 spark-tpch: 10 - Q02 spark-tpch: 10 - Q03 spark-tpch: 10 - Q04 spark-tpch: 10 - Q05 spark-tpch: 10 - Q06 spark-tpch: 10 - Q07 spark-tpch: 10 - Q08 spark-tpch: 10 - Q09 spark-tpch: 10 - Q10 spark-tpch: 10 - Q11 spark-tpch: 10 - Q12 spark-tpch: 10 - Q13 spark-tpch: 10 - Q14 spark-tpch: 10 - Q15 spark-tpch: 10 - Q16 spark-tpch: 10 - Q17 spark-tpch: 10 - Q18 spark-tpch: 10 - Q19 spark-tpch: 10 - Q20 spark-tpch: 10 - Q21 spark-tpch: 10 - Q22 spark-tpcds: 10 - Q01 spark-tpcds: 10 - Q02 spark-tpcds: 10 - Q03 spark-tpcds: 10 - Q04 spark-tpcds: 10 - Q05 spark-tpcds: 10 - Q06 spark-tpcds: 10 - Q07 spark-tpcds: 10 - Q08 spark-tpcds: 10 - Q09 spark-tpcds: 10 - Q10 spark-tpcds: 10 - Q12 spark-tpcds: 10 - Q13 spark-tpcds: 10 - Q14 spark-tpcds: 10 - Q15 spark-tpcds: 10 - Q17 spark-tpcds: 10 - Q18 spark-tpcds: 10 - Q19 spark-tpcds: 10 - Q20 spark-tpcds: 10 - Q21 spark-tpcds: 10 - Q22 spark-tpcds: 10 - Q23 spark-tpcds: 10 - Q24 spark-tpcds: 10 - Q25 spark-tpcds: 10 - Q26 spark-tpcds: 10 - Q27 spark-tpcds: 10 - Q28 spark-tpcds: 10 - Q29 spark-tpcds: 10 - Q30 spark-tpcds: 10 - Q31 spark-tpcds: 10 - Q32 spark-tpcds: 10 - Q33 spark-tpcds: 10 - Q34 spark-tpcds: 10 - Q35 spark-tpcds: 10 - Q36 spark-tpcds: 10 - Q37 spark-tpcds: 10 - Q38 spark-tpcds: 10 - Q39 spark-tpcds: 10 - Q40 spark-tpcds: 10 - Q41 spark-tpcds: 10 - Q42 spark-tpcds: 10 - Q43 spark-tpcds: 10 - Q44 spark-tpcds: 10 - Q45 spark-tpcds: 10 - Q46 spark-tpcds: 10 - Q47 spark-tpcds: 10 - Q48 spark-tpcds: 10 - Q49 spark-tpcds: 10 - Q50 spark-tpcds: 10 - Q51 spark-tpcds: 10 - Q52 spark-tpcds: 10 - Q53 spark-tpcds: 10 - Q54 spark-tpcds: 10 - Q55 spark-tpcds: 10 - Q56 spark-tpcds: 10 - Q57 spark-tpcds: 10 - Q58 spark-tpcds: 10 - Q59 spark-tpcds: 10 - Q60 spark-tpcds: 10 - Q61 spark-tpcds: 10 - Q62 spark-tpcds: 10 - Q63 spark-tpcds: 10 - Q64 spark-tpcds: 10 - Q65 spark-tpcds: 10 - Q66 spark-tpcds: 10 - Q67 spark-tpcds: 10 - Q68 spark-tpcds: 10 - Q69 spark-tpcds: 10 - Q70 spark-tpcds: 10 - Q71 spark-tpcds: 10 - Q72 spark-tpcds: 10 - Q73 spark-tpcds: 10 - Q74 spark-tpcds: 10 - Q75 spark-tpcds: 10 - Q76 spark-tpcds: 10 - Q77 spark-tpcds: 10 - Q78 spark-tpcds: 10 - Q79 spark-tpcds: 10 - Q80 spark-tpcds: 10 - Q81 spark-tpcds: 10 - Q82 spark-tpcds: 10 - Q83 spark-tpcds: 10 - Q84 spark-tpcds: 10 - Q85 spark-tpcds: 10 - Q86 spark-tpcds: 10 - Q87 spark-tpcds: 10 - Q88 spark-tpcds: 10 - Q89 spark-tpcds: 10 - Q90 spark-tpcds: 10 - Q91 spark-tpcds: 10 - Q92 spark-tpcds: 10 - Q93 spark-tpcds: 10 - Q94 spark-tpcds: 10 - Q95 spark-tpcds: 10 - Q96 spark-tpcds: 10 - Q97 spark-tpcds: 10 - Q98 spark-tpcds: 10 - Q99 spark-tpcds: 10 - Q11 clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, Third Run pgbench: 100 - 800 - Read Write pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 800 - Read Only pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Write pgbench: 100 - 1000 - Read Write - Average Latency pgbench: 100 - 1000 - Read Only pgbench: 100 - 1000 - Read Only - Average Latency cockroach: KV, 95% Reads - 128 cockroach: KV, 50% Reads - 128 compress-7zip: Compression Rating compress-7zip: Decompression Rating compress-lz4: 1 - Compression Speed compress-lz4: 1 - Decompression Speed compress-lz4: 3 - Compression Speed compress-lz4: 3 - Decompression Speed compress-lz4: 9 - Compression Speed compress-lz4: 9 - Decompression Speed compress-zstd: 8, Long Mode - Compression Speed compress-zstd: 8, Long Mode - Decompression Speed compress-zstd: 12 - Compression Speed compress-zstd: 12 - Decompression Speed compress-zstd: 19 - Compression Speed compress-zstd: 19 - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed ctx-clock: Context Switch Time coremark: CoreMark Size 666 - Iterations Per Second synthmark: VoiceMark_100 securemark: SecureMark-TLS z3: 1.smt2 z3: 2.smt2 simdjson: PartialTweets simdjson: LargeRand simdjson: Kostya simdjson: DistinctUserID simdjson: TopTweet numpy: node-web-tooling: pybench: Total For Average Test Times pyperformance: 2to3 pyperformance: chaos pyperformance: crypto_pyaes pyperformance: django_template pyperformance: float pyperformance: go pyperformance: json_loads pyperformance: nbody pyperformance: pathlib pyperformance: pickle_pure_python pyperformance: python_startup pyperformance: raytrace pyperformance: regex_compile phpbench: PHP Benchmark Suite perl-benchmark: Pod2html perl-benchmark: Interpreter ngspice: C2670 ngspice: C7552 liquid-dsp: 2 - 256 - 32 liquid-dsp: 2 - 256 - 512 liquid-dsp: 8 - 256 - 32 liquid-dsp: 8 - 256 - 512 liquid-dsp: 12 - 256 - 32 liquid-dsp: 12 - 256 - 512 libraw: Post-Processing Benchmark luaradio: Five Back to Back FIR Filters luaradio: FM Deemphasis Filter luaradio: Hilbert Transform luaradio: Complex Phase gnuradio: Five Back to Back FIR Filters gnuradio: Signal Source (Cosine) gnuradio: FIR Filter gnuradio: IIR Filter gnuradio: FM Deemphasis Filter gnuradio: Hilbert Transform git: Time To Complete Common Git Commands optcarrot: Optimized Benchmark gmic: 2D Function Plotting, 1000 Times gmic: Plotting Isosurface Of A 3D Volume, 1000 Times gmic: 3D Elevated Function In Rand Colors, 100 Times openscad: Projector Mount Swivel openscad: Leonardo Phone Case Slim openscad: Pistol openscad: Retro Car openscad: Mini-ITX Case gegl: Rotate 90 Degrees gegl: Scale gegl: Antialias gegl: Cartoon gegl: Color Enhance gegl: Crop gegl: Wavelet Blur gegl: Reflect gegl: Tile Glass inkscape: SVG Files To PNG gimp: unsharp-mask gimp: resize gimp: rotate gimp: auto-levels darktable: Boat - CPU-only darktable: Masskrug - CPU-only darktable: Server Room - CPU-only darktable: Server Rack - CPU-only rsvg: SVG Files To PNG rawtherapee: Total Benchmark Time stargate: 44100 - 512 stargate: 44100 - 1024 stargate: 192000 - 512 stargate: 192000 - 1024 octave-benchmark: quantlib: Single-Threaded quantlib: Multi-Threaded wireguard: Ryzen 5 8600G Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K 320 381 53782 94033 2388 2436 270.3 240.13 19.5 18.25 485.5 379.1 53.9 46.7562 34.1 219.0 1636.0 575.8 1561.9 565.7 1175.9 264.9 1131.0 255.1 972.66 308.02 1190.34 436.02 321.5 889.7456675 361.6748468 311.4312127 233.1452763 501.9 433.4 270.8 34.85 3493.664 141.61 1475.681 137.25 2195.950 6156 2608 11233 4335 1892 3621 483347 43204 5377 9.70 411.89 18471.48 0.30 41.92 95.36 944.29 6.31 539.81 7.38 492.48 8.10 55.88 71.50 1619.09 3.66 198.07 30.27 179.18 22.29 8.00 2.43 2.33 2.06 2.23 3.40 0.70 6.54 30.76 4.82 4.76 11.37 8.00 13.70 5.51 5.23 60.43 2.42 184 138 53.62 31.35 31.35 0.886 1.243 115.00588 339.89951 14.18 7.65 7.18 12.11 14.20 1619.25 3419.94 6787.34 2245.85 30494.5 32920.3 153.95 193.43 0.33 233 13.7660 11.7352 11.1596 2.58860 2.50697 3.18977 2.70852 2.72038 116.500 3124 104957 12348 411717 3187 106000 12521 416647 3760 124303 15069 489814 383.334814 220.858045 206.318183 3.893 1.799 10645 64.07 44601 44487 44317 44588 110.991 1428.513 60.766 800.378 823.259 28.934 637.192 409.902 51.367 17.752 54.226 404794220 6.280 138.916 7.92843 315.10 194.97 106.41 1.108 2.34626 23990.99 1088.33 16230.08 11076.45 11016.99 19896.12 8519.74 79.49 158.46 8770.55 126.5 244.8 11130000 21333333 10450000 39.76545 58.28022 16.242 74.722 23.2760766 86.8292491 4373.6 7028.2 4364.9 4364.6 4371.0 866.5 117.90 39340 22553 4324.48 234.49 53090 1210.57 1317.88 3116.33 12878 6007.95 2790003 953257 3932.2 3923.2 924.4 918.0 581.5 593.1 3609.2 3598.4 927.3 917.9 582.9 592.5 5502.5 137200.8 12845803160 4112831670 90962726183 76121270407 46399620893 32778742440 14.622 32.547 34531.914 1601667 16645 85727667 16647 60981 5.693 17.608 6.669 25697426 29783795 161.3771 2222220 70.410 8.90 8.75 0.72 9.37 9.23 0.90 55.61 224.28 25.23 15.56 4.94 2.03 7.60 0.13 0.06 3.56 141.656 65.577 7.211 10.614 4.933 897 261 182 873 644 95 429 137.2065 49.1250 6.1524 0.6435 297.331999 125.33 29.75 75.83 16.78 109.413 110.792 31.376 3.857 2.00 41.69 85.14 48.86 63.91 61.54 8.99 22.54 28.29 38.65 14.776 5.930 4.362 0.958 4.238 9.030 5.98 17.80 18.84 23.03 150.02 27.00 55.66 55.66 13.121 12.482 5.095 10.265 21.035 14.262 7101.5 5936.8 6848.0 60625.73 7.263 10.726 49.341 1408805.19 1484571.53 3886004.35 5239064.0 77.314 258.607 116.993 403.914 161.926 543.777 51926221 1629293 1566680 560165 53365623 2231066 1687396 458058 65397 62297.98 57841.99 456.8 2215.4 7809 8834 3676 3165 2200 3214 6842 6.96936254 7.23757951 2.60422253 8.97220770 7.83324067 10.31238905 4.81481600 8.12655449 9.30187289 12.35176818 7.94079908 1.97910468 7.17009529 4.93158976 5.70189794 5.34458272 2.36127679 15.05511697 16.09312916 6.01532348 7.18845654 33.46362813 2.76386468 3.09 3.24 2.41 12.32 5.65 4.93 3.44 3.24 3.15 4.08 1.43 3.22 5.57 2.99 10.55 3.79 3.22 1.43 3.38 8.52 13.36 4.96 10.37 3.03 3.60 4.67 10.35 3.27 5.22 3.14 3.84 3.39 4.50 3.21 3.92 4.89 2.25 4.77 1.99 2.35 2.39 1.64 2.68 3.37 5.01 2.85 4.80 5.97 7.11 2.48 2.73 4.31 2.32 3.56 4.16 3.58 3.38 4.2 1.79 2.51 2.72 12.96 4.73 3.98 8.89 3.48 4.07 3.50 3.30 27.25 3.17 5.28 7.14 3.28 4.11 12.22 3.36 12.45 3.25 4.46 2.96 2.86 4.37 2.42 4.85 4.60 3.05 1.97 2.66 2.49 8.24 2.74 2.62 1.88 4.89 1.40 2.67 9.20 178.51 193.47 192.49 20455 39.113 256535 3.119 18400 54.357 255205 3.919 55525.6 42918.8 79739 63363 950.77 6078.7 151.42 5496.2 48.06 5689.0 416.3 2206.1 155.0 2232.8 16.6 1874.5 9.36 1791.8 348 360052.849751 990.061 406418 24.103 56.262 7.52 1.71 5.50 8.91 8.88 722.34 19.05 550 147 37.2 42.2 19.6 44.4 83.4 11 54.9 13.9 172 6.05 163 66.7 1169564 0.07039008 0.00148669 103.244 83.932 97483333 36551667 359776667 119680000 513160000 150746667 56.21 1813.7 476.8 138.9 1191.7 1492.8 5068.1 1451.0 510.1 1118.7 674.0 35.129 183.04 86.931 10.005 38.717 3.940 15.267 48.831 2.247 23.338 29.552 4.229 23.095 61.396 36.453 7.270 40.450 21.580 20.113 22.280 13.184 12.078 11.531 12.080 6.137 3.691 2.667 0.379 17.264 52.890 2.624622 2.732096 1.261872 1.311307 5.901 4207.4 31254.7 169.625 339 380 52722 92112 2435 2666 275.9 219.71 18.3 18.38 506.2 422.4 21.3 21.1634 13.8 147.6 705.8 292.8 685.3 291.6 428.9 61.9 422.6 60.0 406.88 199.61 442.05 140.85 135.2 523.9640444 157.3345591 128.2560205 94.6149179 237.7 167.7 99.1 6.99 700.438 42.72 445.187 52.58 841.210 1622 953 3237 1472 190 604 106666 13107 1978 6.05 658.76 10778.16 0.35 18.01 221.90 589.75 6.76 290.29 13.76 256.25 15.59 21.25 188.07 896.07 4.44 92.39 43.31 132.09 30.27 9.93 2.68 2.17 1.91 2.38 4.43 0.56 7.29 31.22 5.13 4.92 13.35 9.93 14.92 6.26 5.14 116.34 2.33 24 143 39.59 21.55 21.43 1.278 1.695 167.25995 526.38504 14.04 7.24 7.47 13.33 10.04 2766.46 4696.92 9106.78 3826.40 51919.7 55045.1 218.51 293.37 0.23 165 9.5560 8.2784 7.4561 1.56243 1.50738 2.27576 3.38392 3.42142 111.417 4444 146500 17619 572774 4515 148519 17919 581701 5291 173767 21012 680770 570.363845 299.540935 305.914182 2.659 1.091 6966 42.88 67636 67074 66907 66308 160.960 2083.636 78.031 1134.825 1154.635 38.192 904.424 573.704 71.414 21.402 80.876 447645786 4.903 139.766 8.44209 373.94 253.49 129.29 0.967 2.21801 27444.76 925.90 16515.65 12772.01 12572.30 21611.88 7189.84 76.63 142.85 10130.2 131.5 224.2 7609000 13443333 7331667 41.81359 85.56616 28.896 148.366 24.5506611 85.2746379 3160.0 4328.3 3158.7 3163.6 3168.1 637.0 65.72 20117 14147 2582.60 148.70 28710 719.24 767.36 1696.62 6934.52 3063.86 2333676 1075464 5424.5 5510.2 811.1 837.9 562.2 566.8 5063.0 5050.0 812.5 837.5 562.9 566.4 1564.5 101877.9 6435223647 2358996483 34645456393 29812205340 18516124010 12580666570 23.922 53.363 17059.544 537327 10059 22887000 10061 17740 9.345 39.583 7.155 15372267 16703774 212.0466 1902267 101.415 8.79 8.60 0.85 8.93 8.73 0.86 59.05 221.97 21.03 13.54 4.08 1.90 4.68 0.08 0.04 2.22 225.132 101.344 11.677 16.050 6.632 961 178 135 673 1280 82 310 88.0880 34.6203 4.6420 0.4523 248.552036 77.99 18.47 53.62 11.90 79.396 80.083 20.846 2.579 1.31 29.05 60.70 37.64 52.60 50.99 5.46 13.72 16.99 23.54 12.069 4.475 3.391 0.612 3.038 7.063 3.85 10.94 11.62 14.16 120.06 20.37 43.85 43.87 13.800 13.264 5.734 12.987 20.612 14.242 6944.6 6304.9 6400.4 63968.05 8.039 12.345 40.204 1637835.39 1666830.69 3354462.88 4307882.92 63.702 210.240 106.687 377.746 160.789 518.905 31883815 945066 1174337 589684 31566488 1290926 1376966 602476 62020 50764.08 47864.06 528.9 1776.3 8608 15566 2497 4803 3431 3817 6910 11.62108794 12.33913040 3.63349175 15.48780505 13.51992289 17.12556139 9.39756139 14.22283618 15.87435881 20.10515277 13.86025842 3.12642686 12.57355817 6.50192436 10.48037084 10.06264273 3.52510778 26.72470156 27.83461316 10.58227094 12.50536187 55.03084437 4.18654092 3.48 3.49 2.76 16.38 6.99 6.10 3.77 3.53 3.82 4.44 1.53 3.69 7.62 3.21 12.29 4.27 3.49 1.54 3.82 9.42 11.97 6.05 12.15 3.14 3.86 5.52 12.08 3.60 5.62 2.95 4.08 3.78 4.92 3.59 4.59 5.64 2.85 5.65 2.14 2.58 2.80 1.87 3.04 3.77 5.83 3.24 5.78 7.03 8.67 2.68 3.00 5.53 2.55 3.87 4.78 3.94 3.98 4.15 1.98 2.78 3.06 16.23 5.84 4.14 10.80 3.84 4.39 4.13 3.62 38.52 3.72 6.14 8.64 3.67 4.45 14.57 3.62 16.01 3.56 5.67 3.24 3.11 4.71 2.83 5.56 5.52 3.36 2.18 2.88 2.75 9.78 3.02 3.00 2.04 6.03 1.51 3.05 11.82 157.92 166.43 166.58 18780 42.601 253263 3.159 16765 59.649 249008 4.016 42977.7 32484.8 50826 30771 801.54 5008.1 132.46 4657.8 44.44 4904.3 290.1 2043.6 121.3 2049.7 13.5 1730.5 8.41 1669.8 178 211013.824099 951.307 367877 20.582 67.910 5.91 1.56 4.33 6.68 6.77 580.98 20.09 483 154 38.1 41.8 20.9 41.0 82.6 11.5 51.2 9.67 159 7.94 160 80.1 1325816 0.06993522 0.00397133 88.533 76.449 111020000 39503333 388413333 107546667 390466667 108766667 55.08 1055.1 593.0 201.8 1179.7 1246.6 5039.6 1033.9 519.2 1335.3 989.9 40.135 191.52 62.241 9.622 40.280 4.229 16.814 51.780 2.375 25.149 33.168 6.299 25.035 59.371 35.879 6.663 40.154 20.224 20.356 20.915 11.821 11.892 10.047 10.789 9.169 4.611 3.395 0.558 16.732 58.704 2.214406 2.346352 0.994986 1.100985 6.287 4377.1 21258.8 135.563 335 413 56511 98885 2306 2446 258.4 206.45 17.2 17.24 493.5 385.6 25.4 23.6711 17 161.2 791.5 348.2 772.4 346.4 491.6 68.2 482.8 65.9 441.25 230.82 492.86 154.49 155.7 607.9931186 192.6789175 151.3187415 110.7677693 257.1 189.3 110.5 7.27 728.464 50.36 524.812 61.10 977.501 1726 1608 4876 2042 323 887 136134 13948 2040 11.02 538.80 23268.04 0.63 35.80 167.47 790.56 19.77 387.86 15.42 326.63 18.32 28.86 207.49 1165.59 5.15 156.18 102.07 166.52 35.99 10.17 2.96 2.53 2.69 3.15 4.98 1.03 8.52 28.38 5.93 4.52 14.07 10.17 15.85 6.95 8.05 329.24 3.43 19 97 37.99 22.56 22.46 1.191 1.610 234.19059 759.79613 15.33 7.96 8.40 14.49 13.03 2164.89 3444.22 61669.4 3060.68 102399.9 40887.7 136.10 189.40 0.32 248 15.3710 13.7171 11.8451 2.24065 2.15749 3.06061 4.34910 4.40991 127.208 3032 99025 11979 390852 3065 99142 12203 395240 3558 117058 14236 461452 366.98588 198.805082 199.427345 4.777 1.760 11547 58.18 35011 34273 33661 33558 97.306 1226.634 62.040 676.854 696.122 23.702 549.717 349.652 42.820 19.076 48.381 350297633 8.436 139.421 9.97638 338.20 259.76 138.45 1.48040 32355.56 1169.63 21089.20 17846.57 14183.84 29447.19 8607.45 63.85 125.86 12312.1 158.5 271.5 11643333 12610000 10633333 35.08174 265.3281 14.296 74.710 16.4369914 63.9045855 5321.3 6985.6 5322.5 5326.2 5329.2 908.2 124.50 44057 30560 5828.10 294.58 59397 1313.85 1624.66 3907.87 16050 6923.78 2495640 1143488 5761.9 5768.6 859.6 888.4 596.9 601.8 5316.6 5298.9 862.0 888.5 598.4 602.0 2524.6 162443.9 14416473283 4681409307 69737447243 60846036767 31136619543 20055596510 20.220 45.653 39758.751 839027 18584 34601000 18562 27516 6.397 24.216 7.066 25739250 32389350 129.0701 2023778 51.534 10.52 10.38 0.90 10.60 10.46 0.91 61.23 242.84 22.36 14.38 4.34 2.00 10.31 0.14 0.07 4.66 138.165 62.096 6.187 9.058 4.231 1230 285 252 1071 1264 167 511 187.8817 70.2720 9.2320 0.6728 264.828789 159.81 31.77 66.21 17.79 129.065 129.505 30.452 3.685 2.18 47.66 107.35 60.88 86.49 83.59 8.20 20.60 25.62 35.42 15.088 5.862 4.530 0.909 4.294 9.171 5.76 16.93 17.96 21.96 131.41 23.56 46.73 46.83 13.003 12.532 5.410 12.207 19.455 13.397 8454.7 7330.3 8041.3 96680.65 8.208 12.330 37.075 2827986.78 2764605.12 3414147.33 4716184.7 85.065 391.771 312.582 1058.352 415.279 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62586 851.85 5307.9 140.88 4944.2 47.29 5209.0 445.9 2174.2 180.5 2173.3 16.8 1882.5 9.61 1806.6 125 260224.192074 1016.59 392146 18.186 61.232 6.36 1.66 4.58 7.10 7.13 653.73 22.23 454 150 35.9 39.4 19.6 38.1 77.9 10.8 47.6 9.11 150 11.6 150 75.2 1409034 0.06566951 0.00150923 77.592 67.171 118056667 41898667 354905000 109051429 465448333 123802000 59.21 1005.2 625.3 215.0 1243.3 1741.1 5304.1 1111.9 567.4 1448.8 1078.3 37.656 203.65 58.473 9.115 38.448 4.005 15.790 48.251 2.224 23.549 34.623 7.000 23.250 57.878 34.067 6.587 38.490 19.329 18.712 20.702 12.267 14.038 9.875 10.650 4.536 2.659 2.036 0.299 33.955 46.470 3.685279 3.971674 1.606636 1.828671 6.061 4628.0 33929.4 148.916 373 461 59372 106505 2228 2316 242.2 199.72 16.2 16.43 462.2 346.7 25.4 23.7070 17.0 32.99 161.3 799 343.1 769.5 340.8 487.3 67.9 478.3 65.6 437.27 228.34 485.58 154.10 155.1 603.1018258 189.0874715 151.7206210 108.4183020 256.4 191.9 111.1 7.16 717.675 49.49 515.783 66.07 1057.164 1740 1661 4936 2059 316 857 135851 14018 1935 12.62 474.55 26168.77 0.54 38.88 154.15 1298.20 12.22 616.90 9.71 509.49 11.76 44.66 134.19 1968.35 7.92 261.23 61.15 261.22 22.94 1432.43 1246.42 1480.35 1671.80 1222.67 2111.87 991.60 1983.74 595.04 869.77 408.17 1726.96 1432.43 808.91 1960.55 9512.32 1809.85 1791.84 41 218 47.94 28.62 29.33 1.110 1.550 232.51869 674.95029 11.78 6.22 5.76 10.23 15.00 73473.5 47311.9 1514207 112425.5 1089237 833115 84.77 117.46 0.41 371 22.0271 19.2336 18.1182 3.45596 3.35139 4.73535 6.86369 6.91786 155.140 1904 64104 7514 242768 1932 65173 7618 246765 2227 75448 8917 290621 246.419425 129.128504 132.074866 7.401 2.632 16856 92.93 27930 26411 26404 26856 67.699 804.739 43.245 454.935 474.235 18.574 369.187 240.182 30.984 15.227 33.873 312805100 10.170 305.011 8.47038 230.43 167.09 92.20 2.40974 34299.99 1747.66 19852.19 16480.76 12094.94 22818.88 7929.40 115.88 134.50 7981.27 125.4 221.8 12040000 13020000 10206667 33.83183 174.9933 10.736 53.599 15.6429614 61.8582662 7528.2 10681.9 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55.57 143.68 1790.63 13.00 883.50 8.89 690.72 11.50 66.19 120.74 2781.48 8.31 381.28 62.82 379.20 21.01 6.73 2.61 2.33 2.18 2.32 4.40 0.87 6.29 83.31 30.88 30.82 8.50 6.73 22.61 5.58 6.57 791.21 4.77 53 218 67.47 42.90 44.30 1.026 1.446 151.56850 447.99120 16.51 8.81 8.52 15.45 14.81 1022.495 1807.78 151640.2 1438.80 259258 19238.6 54.07 75.65 0.65 550 36.5559 32.0915 30.5659 5.32699 5.13286 7.02011 10.1141 10.1614 204.755 1240 41330 4884 159649 1245 41552 4993 161628 1463 48443 5745 187443 171.051728 85.178323 88.786514 11.897 4.078 28015 140.52 16649 16130 15729 15522 44.502 494.933 46.060 289.967 317.430 13.487 237.872 154.326 21.112 16.319 22.093 412479533 18.472 138.150 10.0068 166.84 104.21 62.45 1.166 0.60373 52442.51 3171.89 29498.12 23688.27 16336.12 28836.22 10545.21 43.41 125.40 11309.7 159.1 300.6 19306667 17153333 16314444 26.50005 135.8616 6.448 31.759 11.5623944 51.5391757 9539.5 16940.3 9522.1 9496.5 9507.8 2914.1 308.75 102403 70090 14267 705.65 140053 2902.72 3962.04 9255.90 38463 16563 2738807 1378742 7219.1 7218.3 1042.7 1075.8 722.3 727.0 6634.7 6612.1 1043.2 1075.9 722.2 726.5 5501.4 357282.9 35553653633 11210227940 170936095720 147108468510 69682686637 47493562460 9.820 22.168 68801.044 1926667 46241 73899133 45261 62461 4.784 11.453 6.816 71455195 79849896 53.3377 2321481 23.288 13.06 12.98 1.03 13.65 13.51 1.05 69.97 410.87 27.02 17.18 5.31 2.44 15.67 0.34 0.16 9.66 66.411 32.478 3.287 5.444 3.264 1479 590 538 1918 1566 374 1062 353.2390 130.5852 17.0713 1.5876 318.336260 263.69 69.80 86.57 33.88 200.473 203.750 60.234 6.541 5.92 107.64 190.60 124.72 148.78 140.38 19.34 43.44 54.95 75.42 17.670 7.145 5.528 1.382 7.964 15.720 14.37 38.98 41.47 51.72 173.84 31.71 65.29 65.34 10.794 10.703 4.507 10.137 16.213 12.030 9654.5 7910.6 9395.4 215199.13 7.599 11.076 30.179 6393208.82 6305754.54 4410741.1 5933755.6 183.954 677.068 329.245 1090.313 372.609 1244.200 175191681 4065000 3371519 827798 165948025 6110444 3352089 597250 191361 209170.54 195256.03 382.1 1847.8 6477 3808 2007 16689 9924 2534 6850 4.39587193 5.07292652 1.88990283 6.01879310 5.21171856 6.45415719 3.38455630 5.38927126 5.64264393 7.55801932 5.39632209 1.25405578 4.73665476 2.33472443 4.02377701 3.70464071 1.75124757 9.43516827 9.93134308 4.00071581 4.73588435 18.51886114 1.61768484 2.49 2.34 1.77 8.13 4.14 3.42 2.46 2.40 2.50 2.90 1.05 2.44 3.52 2.23 6.13 3.07 2.51 1.04 2.34 5.16 6.45 2.40 6.00 2.42 2.86 3.77 5.90 2.33 4.20 2.26 2.93 2.41 3.07 2.19 2.68 3.80 1.51 3.67 1.44 1.77 1.76 1.31 2.42 2.54 3.70 2.11 3.65 4.29 5.10 1.86 1.95 3.31 1.81 2.72 3.11 2.76 2.53 2.98 1.38 1.98 1.93 8.95 3.42 2.75 7.83 2.53 2.92 2.37 2.43 13.87 2.42 3.91 5.71 2.69 3.30 7.72 2.43 7.55 2.41 2.92 2.41 2.37 3.63 1.98 3.84 3.17 2.18 1.71 2.12 2.15 4.62 2.19 2.25 1.39 3.71 1.04 1.92 6.00 281.76 306.79 301.69 58242 13.750 1099372 0.727 57800 17.302 860008 1.163 171455.8 112495.7 184399 148887 1021.54 6216.7 167.78 5785.9 55.65 6088.8 706.3 2677.5 259.1 2670.6 21.2 2292.9 11.9 2203.2 128 332565.066357 852.383 471416 13.934 50.011 6.59 1.99 5.35 8.09 6.79 815.93 26.69 376 135 31.3 33.9 16.5 32.8 64.8 9.23 41.0 7.68 125 12.6 127 64.4 1674217 0.05716411 0.00451468 57.124 56.543 141863333 45493333 539666667 173610000 727723333 200110000 71.87 2161.4 748.0 263.1 1499.1 2229.0 6271.8 1337.7 658.6 1719.6 1283.2 31.337 232.74 51.383 7.667 32.008 3.784 13.947 41.667 2.204 22.097 30.511 6.179 19.985 49.916 28.856 5.679 33.408 16.354 16.069 18.596 11.298 12.568 8.755 9.737 2.760 1.716 1.434 0.224 33.174 37.237 5.710439 6.148795 2.481482 2.756269 5.542 5626.6 83573.9 106.025 OpenBenchmarking.org
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Firefox Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 80 160 240 320 400 SE +/- 0.88, N = 3 SE +/- 4.06, N = 3 SE +/- 4.26, N = 3 SE +/- 3.57, N = 6 SE +/- 1.86, N = 3 339 335 373 376 320 1. firefox 122.0
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 100 200 300 400 500 SE +/- 0.88, N = 3 SE +/- 1.53, N = 3 SE +/- 1.86, N = 3 SE +/- 1.33, N = 3 SE +/- 1.00, N = 3 380 413 461 483 381 1. chrome 121.0.6167.139
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Firefox Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 14K 28K 42K 56K 70K SE +/- 105.95, N = 3 SE +/- 403.13, N = 3 SE +/- 646.33, N = 4 SE +/- 307.47, N = 3 SE +/- 168.51, N = 3 52722 56511 59372 65484 53782 1. firefox 122.0
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Google Chrome Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30K 60K 90K 120K 150K SE +/- 224.05, N = 3 SE +/- 150.24, N = 3 SE +/- 170.22, N = 3 SE +/- 379.39, N = 3 SE +/- 241.06, N = 3 92112 98885 106505 117030 94033 1. chrome 121.0.6167.139
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 500 1000 1500 2000 2500 SE +/- 5.24, N = 3 SE +/- 5.51, N = 3 SE +/- 5.61, N = 3 SE +/- 3.18, N = 3 SE +/- 2.40, N = 3 2435 2306 2228 2177 2388 1. firefox 122.0
OpenBenchmarking.org Score, Fewer Is Better Selenium Benchmark: PSPDFKit WASM - Browser: Google Chrome Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 600 1200 1800 2400 3000 SE +/- 5.00, N = 3 SE +/- 10.48, N = 3 SE +/- 3.61, N = 3 SE +/- 2.89, N = 3 SE +/- 4.33, N = 3 2666 2446 2316 2267 2436 1. chrome 121.0.6167.139
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 60 120 180 240 300 SE +/- 0.20, N = 4 SE +/- 0.26, N = 4 SE +/- 0.03, N = 4 SE +/- 0.06, N = 4 SE +/- 0.32, N = 4 275.9 258.4 242.2 214.2 270.3 1. firefox 122.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Google Chrome Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 0.04, N = 5 SE +/- 0.07, N = 5 SE +/- 3.60, N = 15 SE +/- 4.34, N = 15 SE +/- 0.29, N = 4 219.71 206.45 199.72 190.00 240.13 1. chrome 121.0.6167.139
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 5 10 15 20 25 SE +/- 0.03, N = 5 SE +/- 0.00, N = 5 SE +/- 0.04, N = 5 SE +/- 0.02, N = 5 SE +/- 0.04, N = 5 18.3 17.2 16.2 14.3 19.5 1. firefox 122.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 5 10 15 20 25 SE +/- 0.02, N = 6 SE +/- 0.01, N = 6 SE +/- 0.22, N = 15 SE +/- 0.31, N = 15 SE +/- 0.06, N = 6 18.38 17.24 16.43 14.92 18.25 1. chrome 121.0.6167.139
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Firefox Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 110 220 330 440 550 SE +/- 1.17, N = 3 SE +/- 2.46, N = 3 SE +/- 3.62, N = 15 SE +/- 3.15, N = 3 SE +/- 1.48, N = 3 506.2 493.5 462.2 443.7 485.5 1. firefox 122.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 90 180 270 360 450 SE +/- 3.76, N = 3 SE +/- 2.30, N = 3 SE +/- 1.02, N = 4 SE +/- 1.19, N = 4 SE +/- 1.32, N = 4 422.4 385.6 346.7 318.7 379.1 1. chrome 121.0.6167.139
Unigine Superposition This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Superposition 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 12 24 36 48 60 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 21.3 25.4 25.4 27.2 53.9 MAX: 27.7 MAX: 33.4 MAX: 33.5 MAX: 35.6 MAX: 76.8
Unigine Valley This test calculates the average frame-rate within the Valley demo for the Unigine engine, released in February 2013. This engine is extremely demanding on the system's graphics card. Unigine Valley relies upon an OpenGL 3 core profile context. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Valley 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.25, N = 3 21.16 23.67 23.71 25.30 46.76
GravityMark GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPUs and render hundreds of thousands of objects in real-time all using GPU acceleration. GravityMark supports a variety of graphics rendering APIs and optionally supports accelerated ray-tracing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.82 Resolution: 1920 x 1080 - Renderer: Vulkan Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.26, N = 3 13.8 17.0 17.0 18.1 34.1
3DMark Wild Life Extreme This test profile only automates the vendor build of 3DMark with its command-line / JSON support. If you do not have a licensed copy of the necessary 3DMark binaries in your Phoronix Test Suite download cache on your system, this test profile will not do anything and simply fail. You must have already obtained the proper licensed binaries from UL for this test profile to work -- this test profile simply automates the firing of the 3DMark benchmark at your desired resolution and capturing the results within the Phoronix Test Suite while you must already have the necessary 3DMark files on your system. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better 3DMark Wild Life Extreme 1.1.2.1 Resolution: 1920 x 1080 Core i5 14600K 8 16 24 32 40 SE +/- 0.09, N = 3 32.99
Resolution: 1920 x 1080
Ryzen 5 8600G: The test quit with a non-zero exit status. E: cat: result.json: No such file or directory
Core i3 14100: The test quit with a non-zero exit status. E: cat: result.json: No such file or directory
Core i5 14500: The test quit with a non-zero exit status. E: cat: result.json: No such file or directory
Core i9 14900K: The test quit with a non-zero exit status. E: cat: result.json: No such file or directory
ET: Legacy ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better ET: Legacy 2.81 Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 0.41, N = 3 SE +/- 0.15, N = 3 SE +/- 0.35, N = 3 SE +/- 0.12, N = 3 SE +/- 1.65, N = 3 147.6 161.2 161.3 173.8 219.0
yquake2 This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: OpenGL 3.x - AF: Off - MSAA: Off - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 2.38, N = 12 SE +/- 5.22, N = 12 SE +/- 0.67, N = 12 SE +/- 1.05, N = 12 SE +/- 23.91, N = 15 705.8 791.5 799.0 844.7 1636.0 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: OpenGL 3.x - AF: Off - MSAA: On - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 120 240 360 480 600 SE +/- 0.11, N = 10 SE +/- 0.49, N = 10 SE +/- 0.22, N = 10 SE +/- 0.58, N = 10 SE +/- 0.93, N = 11 292.8 348.2 343.1 375.1 575.8 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: OpenGL 3.x - AF: On - MSAA: Off - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 1.97, N = 12 SE +/- 2.17, N = 12 SE +/- 0.59, N = 12 SE +/- 1.39, N = 12 SE +/- 10.14, N = 13 685.3 772.4 769.5 814.9 1561.9 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: OpenGL 3.x - AF: On - MSAA: On - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 120 240 360 480 600 SE +/- 0.16, N = 10 SE +/- 0.16, N = 10 SE +/- 0.21, N = 10 SE +/- 0.56, N = 10 SE +/- 0.39, N = 11 291.6 346.4 340.8 372.8 565.7 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: Vulkan - AF: Off - MSAA: Off - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.28, N = 11 SE +/- 0.64, N = 11 SE +/- 0.15, N = 11 SE +/- 0.37, N = 11 SE +/- 2.22, N = 12 428.9 491.6 487.3 526.2 1175.9 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: Vulkan - AF: Off - MSAA: On - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 60 120 180 240 300 SE +/- 0.02, N = 5 SE +/- 0.02, N = 5 SE +/- 0.02, N = 5 SE +/- 0.07, N = 5 SE +/- 1.46, N = 9 61.9 68.2 67.9 71.0 264.9 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: Vulkan - AF: On - MSAA: Off - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.44, N = 11 SE +/- 0.76, N = 11 SE +/- 0.22, N = 11 SE +/- 0.67, N = 11 SE +/- 2.24, N = 12 422.6 482.8 478.3 515.5 1131.0 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.org Frames Per Second, More Is Better yquake2 8.10 Renderer: Vulkan - AF: On - MSAA: On - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 60 120 180 240 300 SE +/- 0.03, N = 4 SE +/- 0.04, N = 5 SE +/- 0.05, N = 5 SE +/- 0.05, N = 5 SE +/- 0.45, N = 9 60.0 65.9 65.6 68.7 255.1 1. (CC) gcc options: -shared -lm -ldl -rdynamic -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
DDraceNetwork This is a test of DDraceNetwork, an open-source cooperative platformer. Vulkan or OpenGL 3.3 is used for rendering, with fallbacks for older OpenGL versions. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 16.3.2 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.31, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 SE +/- 0.10, N = 3 SE +/- 9.23, N = 15 406.88 441.25 437.27 460.73 972.66 1. (CXX) g++ options: -O3 -lrt -ldl -lvulkan -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0 -fuse-ld=gold
OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 16.3.2 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 70 140 210 280 350 SE +/- 0.47, N = 3 SE +/- 0.13, N = 3 SE +/- 0.29, N = 3 SE +/- 0.33, N = 3 SE +/- 6.62, N = 13 199.61 230.82 228.34 243.01 308.02 1. (CXX) g++ options: -O3 -lrt -ldl -lvulkan -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0 -fuse-ld=gold
OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 16.3.2 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 13.85, N = 15 442.05 492.86 485.58 511.61 1190.34 1. (CXX) g++ options: -O3 -lrt -ldl -lvulkan -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0 -fuse-ld=gold
OpenBenchmarking.org Frames Per Second, More Is Better DDraceNetwork 16.3.2 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 90 180 270 360 450 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 4.95, N = 4 140.85 154.49 154.10 161.39 436.02 1. (CXX) g++ options: -O3 -lrt -ldl -lvulkan -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0 -fuse-ld=gold
Warsow This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Warsow 2.5 Beta Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 70 140 210 280 350 SE +/- 0.29, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.30, N = 3 SE +/- 3.93, N = 4 135.2 155.7 155.1 161.5 321.5
Xonotic This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game for this open-source first person shooter title. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Low Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.94, N = 3 SE +/- 0.15, N = 3 SE +/- 4.17, N = 3 SE +/- 6.05, N = 3 SE +/- 7.29, N = 3 523.96 607.99 603.10 652.28 889.75 MIN: 219 / MAX: 961 MIN: 236 / MAX: 1083 MIN: 233 / MAX: 1057 MIN: 243 / MAX: 1125 MIN: 485 / MAX: 1639
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: High Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 80 160 240 320 400 SE +/- 0.04, N = 3 SE +/- 1.75, N = 3 SE +/- 1.99, N = 3 SE +/- 0.43, N = 3 SE +/- 3.10, N = 3 157.33 192.68 189.09 198.51 361.67 MIN: 75 / MAX: 200 MIN: 83 / MAX: 261 MIN: 84 / MAX: 256 MIN: 90 / MAX: 267 MIN: 191 / MAX: 608
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Ultra Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 70 140 210 280 350 SE +/- 0.05, N = 3 SE +/- 1.19, N = 3 SE +/- 1.32, N = 3 SE +/- 1.51, N = 3 SE +/- 2.37, N = 3 128.26 151.32 151.72 159.96 311.43 MIN: 60 / MAX: 181 MIN: 69 / MAX: 230 MIN: 70 / MAX: 231 MIN: 72 / MAX: 246 MIN: 165 / MAX: 514
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Ultimate Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 0.81, N = 3 SE +/- 0.02, N = 3 SE +/- 0.91, N = 3 SE +/- 0.10, N = 3 SE +/- 1.46, N = 3 94.61 110.77 108.42 116.45 233.15 MIN: 40 / MAX: 139 MIN: 47 / MAX: 170 MIN: 45 / MAX: 167 MIN: 49 / MAX: 178 MIN: 92 / MAX: 438
Unvanquished Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 (id Tech 3) engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source, cross-platform shooter game. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Medium Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 110 220 330 440 550 SE +/- 1.23, N = 3 SE +/- 0.90, N = 3 SE +/- 2.84, N = 4 SE +/- 2.43, N = 3 SE +/- 4.93, N = 3 237.7 257.1 256.4 235.4 501.9
OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: High Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 90 180 270 360 450 SE +/- 0.10, N = 3 SE +/- 1.44, N = 15 SE +/- 0.06, N = 3 SE +/- 1.62, N = 3 SE +/- 3.23, N = 3 167.7 189.3 191.9 183.4 433.4
OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Ultra Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 60 120 180 240 300 SE +/- 0.03, N = 3 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 SE +/- 0.48, N = 3 SE +/- 2.87, N = 5 99.1 110.5 111.1 115.9 270.8
ParaView This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames / Sec, More Is Better ParaView 5.10.1 Test: Many Spheres - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 8 16 24 32 40 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 6.99 7.27 7.16 7.74 34.85
MiPolys / Sec
OpenBenchmarking.org MiPolys / Sec, More Is Better ParaView 5.10.1 Test: Many Spheres - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 700 1400 2100 2800 3500 SE +/- 0.27, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.65, N = 3 700.44 728.46 717.68 776.30 3493.66
Result
OpenBenchmarking.org Frames / Sec, More Is Better ParaView 5.10.1 Test: Wavelet Contour - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 4 SE +/- 0.87, N = 5 42.72 50.36 49.49 53.24 141.61
MiPolys / Sec
OpenBenchmarking.org MiPolys / Sec, More Is Better ParaView 5.10.1 Test: Wavelet Contour - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.47, N = 3 SE +/- 0.08, N = 4 SE +/- 9.10, N = 5 445.19 524.81 515.78 554.87 1475.68
Result
OpenBenchmarking.org Frames / Sec, More Is Better ParaView 5.10.1 Test: Wavelet Volume - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30 60 90 120 150 SE +/- 0.02, N = 4 SE +/- 0.19, N = 4 SE +/- 0.10, N = 4 SE +/- 0.71, N = 4 SE +/- 4.50, N = 15 52.58 61.10 66.07 68.28 137.25
MiVoxels / Sec
OpenBenchmarking.org MiVoxels / Sec, More Is Better ParaView 5.10.1 Test: Wavelet Volume - Resolution: 1920 x 1080 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 500 1000 1500 2000 2500 SE +/- 0.25, N = 4 SE +/- 3.06, N = 4 SE +/- 1.68, N = 4 SE +/- 11.40, N = 4 SE +/- 71.92, N = 15 841.21 977.50 1057.16 1092.45 2195.95
GpuTest GpuTest is a cross-platform OpenGL benchmark developed at Geeks3D.com that offers tech demos such as FurMark, TessMark, and other workloads to stress various areas of GPUs and drivers. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Points, More Is Better GpuTest 0.7.0 Test: Furmark - Resolution: 1920 x 1080 - Mode: Fullscreen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 600 1200 1800 2400 3000 SE +/- 99.48, N = 15 SE +/- 20.59, N = 15 SE +/- 0.00, N = 3 SE +/- 20.30, N = 15 SE +/- 29.83, N = 15 953 1608 1661 1722 2608
OpenBenchmarking.org Points, More Is Better GpuTest 0.7.0 Test: TessMark - Resolution: 1920 x 1080 - Mode: Fullscreen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 2K 4K 6K 8K 10K SE +/- 273.89, N = 15 SE +/- 59.96, N = 4 SE +/- 0.33, N = 3 SE +/- 61.67, N = 4 SE +/- 122.79, N = 3 3237 4876 4936 5189 11233
OpenBenchmarking.org Points, More Is Better GpuTest 0.7.0 Test: GiMark - Resolution: 1920 x 1080 - Mode: Fullscreen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 900 1800 2700 3600 4500 SE +/- 101.28, N = 15 SE +/- 19.17, N = 3 SE +/- 0.00, N = 3 SE +/- 20.33, N = 3 SE +/- 3.28, N = 3 1472 2042 2059 2169 4335
OpenBenchmarking.org Points, More Is Better GpuTest 0.7.0 Test: Pixmark Piano - Resolution: 1920 x 1080 - Mode: Fullscreen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 18.07, N = 15 SE +/- 3.21, N = 15 SE +/- 4.00, N = 15 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 190 323 316 351 1892
OpenBenchmarking.org Points, More Is Better GpuTest 0.7.0 Test: Pixmark Volplosion - Resolution: 1920 x 1080 - Mode: Fullscreen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 800 1600 2400 3200 4000 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 10.87, N = 15 SE +/- 0.33, N = 3 SE +/- 43.66, N = 15 604 887 857 946 3621
OpenBenchmarking.org Points, More Is Better GpuTest 0.7.0 Test: Triangle - Resolution: 1920 x 1080 - Mode: Fullscreen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 100K 200K 300K 400K 500K SE +/- 9579.29, N = 15 SE +/- 1501.50, N = 5 SE +/- 1637.46, N = 3 SE +/- 1009.15, N = 15 SE +/- 4833.28, N = 15 106666 136134 135851 141583 483347
OpenBenchmarking.org Points, More Is Better GpuTest 0.7.0 Test: Plot3D - Resolution: 1920 x 1080 - Mode: Fullscreen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 9K 18K 27K 36K 45K SE +/- 297.33, N = 15 SE +/- 1.53, N = 3 SE +/- 118.83, N = 3 SE +/- 0.33, N = 3 SE +/- 518.07, N = 3 13107 13948 14018 14612 43204
VKMark VKMark is a collection of open-source Vulkan tests / rendering benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VKMark Score, More Is Better VKMark 2022-05-16 Resolution: 1920 x 1080 - Present Mode: Mailbox Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 1200 2400 3600 4800 6000 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 1.20, N = 3 SE +/- 0.67, N = 3 SE +/- 0.88, N = 3 1978 2040 1935 2117 5377 1. (CXX) g++ options: -pthread -ldl -std=c++14 -O0 -MD -MQ -MF
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 12 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 6.05 11.02 12.62 18.88 9.70 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 140 280 420 560 700 SE +/- 0.71, N = 3 SE +/- 0.57, N = 3 SE +/- 6.21, N = 12 SE +/- 3.13, N = 3 SE +/- 1.54, N = 3 658.76 538.80 474.55 422.62 411.89 MIN: 616.78 / MAX: 667.63 MIN: 261.91 / MAX: 1049.13 MIN: 220 / MAX: 983.35 MIN: 257.09 / MAX: 1092.61 MIN: 386.74 / MAX: 421.34 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 8K 16K 24K 32K 40K SE +/- 20.77, N = 3 SE +/- 5.00, N = 3 SE +/- 2.55, N = 3 SE +/- 251.33, N = 3 SE +/- 166.06, N = 3 10778.16 23268.04 26168.77 38286.41 18471.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 0.1418 0.2836 0.4254 0.5672 0.709 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 0.35 0.63 0.54 0.56 0.30 MIN: 0.21 / MAX: 4.47 MIN: 0.33 / MAX: 3.17 MIN: 0.28 / MAX: 9.74 MIN: 0.26 / MAX: 7.08 MIN: 0.17 / MAX: 4.02 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.28, N = 3 SE +/- 0.17, N = 3 18.01 35.80 38.88 55.57 41.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 0.24, N = 3 SE +/- 0.48, N = 3 SE +/- 0.74, N = 3 SE +/- 0.76, N = 3 SE +/- 0.37, N = 3 221.90 167.47 154.15 143.68 95.36 MIN: 215.17 / MAX: 242.26 MIN: 148.81 / MAX: 198.81 MIN: 79.16 / MAX: 230.96 MIN: 70.31 / MAX: 357.8 MIN: 73.39 / MAX: 116.19 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.55, N = 3 SE +/- 19.54, N = 15 SE +/- 0.79, N = 3 SE +/- 5.68, N = 3 SE +/- 9.61, N = 3 589.75 790.56 1298.20 1790.63 944.29 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.36, N = 15 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 6.76 19.77 12.22 13.00 6.31 MIN: 4.19 / MAX: 13.49 MIN: 7.78 / MAX: 91.26 MIN: 6.79 / MAX: 172.36 MIN: 6.44 / MAX: 76.68 MIN: 3.22 / MAX: 12.16 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.41, N = 3 SE +/- 3.82, N = 3 SE +/- 7.23, N = 3 SE +/- 4.80, N = 3 SE +/- 4.36, N = 3 290.29 387.86 616.90 883.50 539.81 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 13.76 15.42 9.71 8.89 7.38 MIN: 8.46 / MAX: 21.67 MIN: 8.5 / MAX: 27.3 MIN: 5.64 / MAX: 20.63 MIN: 3.73 / MAX: 67.87 MIN: 3.95 / MAX: 16.08 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 150 300 450 600 750 SE +/- 1.85, N = 12 SE +/- 3.48, N = 3 SE +/- 0.86, N = 3 SE +/- 3.24, N = 3 SE +/- 4.58, N = 3 256.25 326.63 509.49 690.72 492.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 5 10 15 20 25 SE +/- 0.12, N = 12 SE +/- 0.19, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 15.59 18.32 11.76 11.50 8.10 MIN: 9.36 / MAX: 21.87 MIN: 9.74 / MAX: 24.8 MIN: 5.75 / MAX: 26.15 MIN: 4.96 / MAX: 60.39 MIN: 5.71 / MAX: 13.6 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 15 30 45 60 75 SE +/- 0.10, N = 3 SE +/- 0.30, N = 3 SE +/- 0.08, N = 3 SE +/- 0.55, N = 3 SE +/- 0.51, N = 3 21.25 28.86 44.66 66.19 55.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 0.92, N = 3 SE +/- 2.12, N = 3 SE +/- 0.23, N = 3 SE +/- 1.01, N = 3 SE +/- 0.66, N = 3 188.07 207.49 134.19 120.74 71.50 MIN: 109.21 / MAX: 199.09 MIN: 89.53 / MAX: 288.4 MIN: 61.3 / MAX: 242.72 MIN: 84.72 / MAX: 349.33 MIN: 60.71 / MAX: 80.2 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 600 1200 1800 2400 3000 SE +/- 0.50, N = 3 SE +/- 11.92, N = 4 SE +/- 3.95, N = 3 SE +/- 14.83, N = 3 SE +/- 19.95, N = 3 896.07 1165.59 1968.35 2781.48 1619.09 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.05, N = 4 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 4.44 5.15 7.92 8.31 3.66 MIN: 2.75 / MAX: 11.67 MIN: 2.8 / MAX: 9.34 MIN: 4.43 / MAX: 53.1 MIN: 4.23 / MAX: 43.99 MIN: 2 / MAX: 9.29 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 80 160 240 320 400 SE +/- 0.76, N = 15 SE +/- 1.00, N = 3 SE +/- 0.09, N = 3 SE +/- 3.18, N = 3 SE +/- 2.21, N = 15 92.39 156.18 261.23 381.28 198.07 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 20 40 60 80 100 SE +/- 0.36, N = 15 SE +/- 0.66, N = 3 SE +/- 0.03, N = 3 SE +/- 0.52, N = 3 SE +/- 0.35, N = 15 43.31 102.07 61.15 62.82 30.27 MIN: 24.03 / MAX: 56.11 MIN: 56.45 / MAX: 146.44 MIN: 31.67 / MAX: 367.04 MIN: 29.76 / MAX: 307.01 MIN: 18.55 / MAX: 121.43 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 80 160 240 320 400 SE +/- 0.29, N = 3 SE +/- 1.67, N = 6 SE +/- 2.21, N = 3 SE +/- 0.77, N = 3 SE +/- 1.40, N = 9 132.09 166.52 261.22 379.20 179.18 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.35, N = 6 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 9 30.27 35.99 22.94 21.01 22.29 MIN: 24.31 / MAX: 36.1 MIN: 18.35 / MAX: 58.66 MIN: 14.66 / MAX: 59.69 MIN: 8.58 / MAX: 139.57 MIN: 11.59 / MAX: 32.52 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -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 20230517 Target: CPU - Model: mobilenet Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.00, N = 3 SE +/- 0.21, N = 12 SE +/- 0.21, N = 3 SE +/- 0.29, N = 9 SE +/- 0.08, N = 14 9.93 10.17 1432.43 6.73 8.00 MIN: 1357.37 / MAX: 1448.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.00, N = 3 SE +/- 0.03, N = 12 SE +/- 0.61, N = 3 SE +/- 0.06, N = 9 SE +/- 0.03, N = 14 2.68 2.96 1246.42 2.61 2.43 MIN: 681.68 / MAX: 1260.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.00, N = 3 SE +/- 0.08, N = 12 SE +/- 0.07, N = 3 SE +/- 0.11, N = 9 SE +/- 0.02, N = 14 2.17 2.53 1480.35 2.33 2.33 MIN: 1464 / MAX: 1492.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: shufflenet-v2 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.00, N = 3 SE +/- 0.09, N = 12 SE +/- 0.67, N = 3 SE +/- 0.11, N = 9 SE +/- 0.01, N = 14 1.91 2.69 1671.80 2.18 2.06 MIN: 1128 / MAX: 1684 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mnasnet Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.00, N = 3 SE +/- 0.06, N = 12 SE +/- 1.63, N = 3 SE +/- 0.07, N = 9 SE +/- 0.03, N = 14 2.38 3.15 1222.67 2.32 2.23 MIN: 580 / MAX: 1236 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: efficientnet-b0 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 500 1000 1500 2000 2500 SE +/- 0.00, N = 3 SE +/- 0.09, N = 12 SE +/- 0.88, N = 3 SE +/- 0.86, N = 9 SE +/- 0.04, N = 14 4.43 4.98 2111.87 4.40 3.40 MIN: 1488.7 / MAX: 2128 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: blazeface Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.00, N = 3 SE +/- 0.03, N = 12 SE +/- 0.63, N = 3 SE +/- 0.02, N = 9 SE +/- 0.01, N = 14 0.56 1.03 991.60 0.87 0.70 MIN: 484 / MAX: 1008 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: googlenet Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.00, N = 3 SE +/- 0.12, N = 12 SE +/- 0.74, N = 3 SE +/- 0.12, N = 9 SE +/- 0.10, N = 14 7.29 8.52 1983.74 6.29 6.54 MIN: 1440.01 / MAX: 1996.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vgg16 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 130 260 390 520 650 SE +/- 0.01, N = 3 SE +/- 1.43, N = 12 SE +/- 0.19, N = 3 SE +/- 63.98, N = 9 SE +/- 0.12, N = 14 31.22 28.38 595.04 83.31 30.76 MIN: 584.02 / MAX: 623.97 MIN: 18.43 / MAX: 604.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet18 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.00, N = 3 SE +/- 0.11, N = 12 SE +/- 1.32, N = 3 SE +/- 13.39, N = 9 SE +/- 0.08, N = 14 5.13 5.93 869.77 30.88 4.82 MIN: 347.98 / MAX: 899.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: alexnet Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 90 180 270 360 450 SE +/- 0.00, N = 3 SE +/- 0.03, N = 12 SE +/- 0.02, N = 3 SE +/- 26.88, N = 9 SE +/- 0.03, N = 14 4.92 4.52 408.17 30.82 4.76 MIN: 403.97 / MAX: 420.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet50 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.00, N = 3 SE +/- 0.57, N = 12 SE +/- 0.82, N = 3 SE +/- 0.11, N = 9 SE +/- 0.10, N = 14 13.35 14.07 1726.96 8.50 11.37 MIN: 1107.99 / MAX: 1748.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300 600 900 1200 1500 SE +/- 0.00, N = 3 SE +/- 0.21, N = 12 SE +/- 0.21, N = 3 SE +/- 0.29, N = 9 SE +/- 0.08, N = 14 9.93 10.17 1432.43 6.73 8.00 MIN: 1357.37 / MAX: 1448.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: yolov4-tiny Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.01, N = 3 SE +/- 0.25, N = 12 SE +/- 0.05, N = 3 SE +/- 9.96, N = 9 SE +/- 0.18, N = 14 14.92 15.85 808.91 22.61 13.70 MIN: 799.66 / MAX: 828.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: squeezenet_ssd Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.03, N = 3 SE +/- 0.14, N = 12 SE +/- 0.03, N = 3 SE +/- 0.16, N = 9 SE +/- 0.06, N = 14 6.26 6.95 1960.55 5.58 5.51 MIN: 1952.01 / MAX: 1984 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: regnety_400m Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 2K 4K 6K 8K 10K SE +/- 0.01, N = 3 SE +/- 0.29, N = 12 SE +/- 2.01, N = 3 SE +/- 0.30, N = 9 SE +/- 0.03, N = 14 5.14 8.05 9512.32 6.57 5.23 MIN: 8912 / MAX: 9540 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vision_transformer Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.02, N = 3 SE +/- 34.24, N = 12 SE +/- 0.22, N = 3 SE +/- 122.16, N = 9 SE +/- 0.04, N = 14 116.34 329.24 1809.85 791.21 60.43 MIN: 86.63 / MAX: 2142.64 MIN: 1796 / MAX: 1848 MIN: 46.29 / MAX: 1860 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: FastestDet Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.00, N = 3 SE +/- 0.13, N = 12 SE +/- 0.76, N = 3 SE +/- 1.36, N = 9 SE +/- 0.03, N = 14 2.33 3.43 1791.84 4.77 2.42 MIN: 1264 / MAX: 1808 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 0.30 Backend: BLAS Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 40 80 120 160 200 SE +/- 0.33, N = 3 SE +/- 0.24, N = 9 SE +/- 0.50, N = 4 SE +/- 0.53, N = 9 SE +/- 2.31, N = 3 24 19 41 53 184 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.30 Backend: Eigen Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 1.56, N = 5 SE +/- 0.58, N = 3 SE +/- 2.65, N = 3 SE +/- 2.48, N = 4 SE +/- 1.45, N = 3 143 97 218 218 138 1. (CXX) g++ options: -flto -pthread
PyTorch This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 15 30 45 60 75 SE +/- 0.10, N = 3 SE +/- 0.76, N = 15 SE +/- 0.80, N = 15 SE +/- 1.91, N = 15 SE +/- 0.50, N = 3 39.59 37.99 47.94 67.47 53.62 MIN: 38.69 / MAX: 39.92 MIN: 31.27 / MAX: 47.47 MIN: 34.03 / MAX: 50.73 MIN: 30.23 / MAX: 74.07 MIN: 34.14 / MAX: 55.79
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 10 20 30 40 50 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 15 SE +/- 0.65, N = 15 SE +/- 0.09, N = 3 21.55 22.56 28.62 42.90 31.35 MIN: 19.56 / MAX: 21.7 MIN: 22.09 / MAX: 27.12 MIN: 26.28 / MAX: 29.85 MIN: 9.78 / MAX: 48.3 MIN: 28.42 / MAX: 32.32
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 10 20 30 40 50 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 21.43 22.46 29.33 44.30 31.35 MIN: 19.69 / MAX: 21.73 MIN: 22.16 / MAX: 26.85 MIN: 28.38 / MAX: 29.82 MIN: 9.8 / MAX: 45.78 MIN: 28.32 / MAX: 32.2
PyHPC Benchmarks PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 0.2876 0.5752 0.8628 1.1504 1.438 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 1.278 1.191 1.110 1.026 0.886
OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 0.3814 0.7628 1.1442 1.5256 1.907 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 1.695 1.610 1.550 1.446 1.243
Whisper.cpp Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.4 Model: ggml-base.en - Input: 2016 State of the Union Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 0.33, N = 3 SE +/- 2.51, N = 3 SE +/- 4.29, N = 12 SE +/- 0.84, N = 3 SE +/- 0.57, N = 3 167.26 234.19 232.52 151.57 115.01 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.org Seconds, Fewer Is Better Whisper.cpp 1.4 Model: ggml-small.en - Input: 2016 State of the Union Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 160 320 480 640 800 SE +/- 1.13, N = 3 SE +/- 1.08, N = 3 SE +/- 7.64, N = 9 SE +/- 2.39, N = 3 SE +/- 1.27, N = 3 526.39 759.80 674.95 447.99 339.90 1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
Llama.cpp Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Tokens Per Second, More Is Better Llama.cpp b1808 Model: llama-2-7b.Q4_0.gguf Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.16, N = 5 SE +/- 0.17, N = 15 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 14.04 15.33 11.78 16.51 14.18 1. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas
OpenBenchmarking.org Tokens Per Second, More Is Better Llama.cpp b1808 Model: llama-2-13b.Q4_0.gguf Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 7.24 7.96 6.22 8.81 7.65 1. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas
Llamafile Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.6 Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 11 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.47 8.40 5.76 8.52 7.18
OpenBenchmarking.org Tokens Per Second, More Is Better Llamafile 0.6 Test: llava-v1.5-7b-q4 - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.43, N = 15 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 13.33 14.49 10.23 15.45 12.11
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 4 8 12 16 20 SE +/- 0.01, N = 4 SE +/- 0.11, N = 9 SE +/- 0.01, N = 5 SE +/- 0.16, N = 5 SE +/- 0.02, N = 5 10.04 13.03 15.00 14.81 14.20
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Float Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 16K 32K 48K 64K 80K SE +/- 4.93, N = 3 SE +/- 22.34, N = 5 SE +/- 1336.50, N = 15 SE +/- 11.30, N = 5 SE +/- 3.05, N = 3 2766.46 2164.89 73473.50 1022.50 1619.25
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 10K 20K 30K 40K 50K SE +/- 1.95, N = 3 SE +/- 43.34, N = 3 SE +/- 370.26, N = 9 SE +/- 23.01, N = 3 SE +/- 26.83, N = 9 4696.92 3444.22 47311.90 1807.78 3419.94
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: NASNet Mobile Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 300K 600K 900K 1200K 1500K SE +/- 38.08, N = 3 SE +/- 3554.71, N = 15 SE +/- 76703.31, N = 15 SE +/- 15512.89, N = 15 SE +/- 27.39, N = 3 9106.78 61669.40 1514207.00 151640.20 6787.34
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: SqueezeNet Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 20K 40K 60K 80K 100K SE +/- 7.79, N = 3 SE +/- 41.80, N = 3 SE +/- 1932.18, N = 15 SE +/- 13.23, N = 3 SE +/- 24.66, N = 3 3826.40 3060.68 112425.50 1438.80 2245.85
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200K 400K 600K 800K 1000K SE +/- 23.99, N = 3 SE +/- 18559.68, N = 15 SE +/- 9656.03, N = 15 SE +/- 16317.05, N = 15 SE +/- 313.07, N = 3 51919.7 102399.9 1089237.0 259258.0 30494.5
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception V4 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200K 400K 600K 800K 1000K SE +/- 63.30, N = 3 SE +/- 440.15, N = 3 SE +/- 12907.75, N = 15 SE +/- 187.60, N = 5 SE +/- 319.14, N = 3 55045.1 40887.7 833115.0 19238.6 32920.3
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 50 100 150 200 250 SE +/- 0.11, N = 3 SE +/- 0.70, N = 3 SE +/- 0.18, N = 3 SE +/- 0.32, N = 3 SE +/- 0.46, N = 3 218.51 136.10 84.77 54.07 153.95
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 60 120 180 240 300 SE +/- 0.31, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.56, N = 3 293.37 189.40 117.46 75.65 193.43
Intel Open Image Denoise OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 0.1463 0.2926 0.4389 0.5852 0.7315 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 0.23 0.32 0.41 0.65 0.33
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 120 240 360 480 600 SE +/- 0.00, N = 3 SE +/- 1.53, N = 3 SE +/- 0.67, N = 3 SE +/- 3.79, N = 3 SE +/- 0.33, N = 3 165 248 371 550 233 MIN: 11 / MAX: 2594 MIN: 16 / MAX: 3541 MIN: 25 / MAX: 5114 MIN: 36 / MAX: 7642 MIN: 16 / MAX: 3330
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 8 16 24 32 40 SE +/- 0.0040, N = 3 SE +/- 0.1345, N = 7 SE +/- 0.0147, N = 3 SE +/- 0.0494, N = 3 SE +/- 0.0792, N = 3 9.5560 15.3710 22.0271 36.5559 13.7660 MIN: 9.52 / MAX: 9.65 MIN: 15.12 / MAX: 20.86 MIN: 21.71 / MAX: 23.27 MIN: 35.81 / MAX: 38.05 MIN: 13.55 / MAX: 14.1
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 7 14 21 28 35 SE +/- 0.0029, N = 3 SE +/- 0.1472, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.0394, N = 3 SE +/- 0.0470, N = 3 8.2784 13.7171 19.2336 32.0915 11.7352 MIN: 8.25 / MAX: 8.38 MIN: 13.21 / MAX: 18.25 MIN: 18.95 / MAX: 19.88 MIN: 31.56 / MAX: 33.37 MIN: 11.51 / MAX: 11.99
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 7 14 21 28 35 SE +/- 0.0039, N = 3 SE +/- 0.1403, N = 4 SE +/- 0.0200, N = 3 SE +/- 0.0250, N = 3 SE +/- 0.0875, N = 3 7.4561 11.8451 18.1182 30.5659 11.1596 MIN: 7.41 / MAX: 7.56 MIN: 11.61 / MAX: 16.82 MIN: 17.72 / MAX: 19.15 MIN: 29.95 / MAX: 32.39 MIN: 10.93 / MAX: 11.72
OSPRay Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 1.1986 2.3972 3.5958 4.7944 5.993 SE +/- 0.00248, N = 3 SE +/- 0.01192, N = 3 SE +/- 0.00739, N = 3 SE +/- 0.01573, N = 3 SE +/- 0.01344, N = 3 1.56243 2.24065 3.45596 5.32699 2.58860
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 1.1549 2.3098 3.4647 4.6196 5.7745 SE +/- 0.00521, N = 3 SE +/- 0.00855, N = 3 SE +/- 0.00222, N = 3 SE +/- 0.01103, N = 3 SE +/- 0.01164, N = 3 1.50738 2.15749 3.35139 5.13286 2.50697
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 2 4 6 8 10 SE +/- 0.00359, N = 3 SE +/- 0.03295, N = 5 SE +/- 0.00853, N = 3 SE +/- 0.00838, N = 3 SE +/- 0.01215, N = 3 2.27576 3.06061 4.73535 7.02011 3.18977
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 3 6 9 12 15 SE +/- 0.00116, N = 3 SE +/- 0.00098, N = 3 SE +/- 0.01439, N = 3 SE +/- 0.00582, N = 3 SE +/- 0.00866, N = 3 3.38392 4.34910 6.86369 10.11410 2.70852
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 3 6 9 12 15 SE +/- 0.00097, N = 3 SE +/- 0.00256, N = 3 SE +/- 0.00132, N = 3 SE +/- 0.02622, N = 3 SE +/- 0.00065, N = 3 3.42142 4.40991 6.91786 10.16140 2.72038
OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 1.12, N = 3 SE +/- 0.09, N = 3 111.42 127.21 155.14 204.76 116.50
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 1000 2000 3000 4000 5000 SE +/- 1.53, N = 3 SE +/- 11.72, N = 3 SE +/- 8.67, N = 3 SE +/- 8.74, N = 3 SE +/- 28.49, N = 3 4444 3032 1904 1240 3124
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30K 60K 90K 120K 150K SE +/- 148.20, N = 3 SE +/- 453.01, N = 3 SE +/- 273.38, N = 3 SE +/- 226.42, N = 3 SE +/- 617.77, N = 3 146500 99025 64104 41330 104957
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 4K 8K 12K 16K 20K SE +/- 10.71, N = 3 SE +/- 87.52, N = 3 SE +/- 33.29, N = 3 SE +/- 11.41, N = 3 SE +/- 66.77, N = 3 17619 11979 7514 4884 12348
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 120K 240K 360K 480K 600K SE +/- 387.57, N = 3 SE +/- 290.33, N = 3 SE +/- 2624.17, N = 3 SE +/- 340.90, N = 3 SE +/- 809.35, N = 3 572774 390852 242768 159649 411717
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 1000 2000 3000 4000 5000 SE +/- 1.00, N = 3 SE +/- 16.17, N = 3 SE +/- 8.21, N = 3 SE +/- 5.03, N = 3 SE +/- 30.47, N = 3 4515 3065 1932 1245 3187
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30K 60K 90K 120K 150K SE +/- 98.48, N = 3 SE +/- 700.11, N = 3 SE +/- 148.44, N = 3 SE +/- 185.94, N = 3 SE +/- 526.04, N = 3 148519 99142 65173 41552 106000
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 4K 8K 12K 16K 20K SE +/- 19.41, N = 3 SE +/- 13.35, N = 3 SE +/- 102.03, N = 3 SE +/- 14.05, N = 3 SE +/- 66.34, N = 3 17919 12203 7618 4993 12521
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 120K 240K 360K 480K 600K SE +/- 583.15, N = 3 SE +/- 503.59, N = 3 SE +/- 1638.50, N = 3 SE +/- 777.51, N = 3 SE +/- 740.87, N = 3 581701 395240 246765 161628 416647
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 1100 2200 3300 4400 5500 SE +/- 3.06, N = 3 SE +/- 30.88, N = 3 SE +/- 26.06, N = 3 SE +/- 12.98, N = 3 SE +/- 33.56, N = 3 5291 3558 2227 1463 3760
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 40K 80K 120K 160K 200K SE +/- 74.52, N = 3 SE +/- 414.72, N = 3 SE +/- 159.06, N = 3 SE +/- 217.01, N = 3 SE +/- 563.52, N = 3 173767 117058 75448 48443 124303
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 5K 10K 15K 20K 25K SE +/- 7.64, N = 3 SE +/- 2.65, N = 3 SE +/- 55.81, N = 3 SE +/- 20.30, N = 3 SE +/- 107.16, N = 3 21012 14236 8917 5745 15069
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 150K 300K 450K 600K 750K SE +/- 152.43, N = 3 SE +/- 365.92, N = 3 SE +/- 645.62, N = 3 SE +/- 220.99, N = 3 SE +/- 1147.62, N = 3 680770 461452 290621 187443 489814
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 70 140 210 280 350 299.54 198.81 129.13 85.18 220.86
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 70 140 210 280 350 305.91 199.43 132.07 88.79 206.32
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 0.9176 1.8352 2.7528 3.6704 4.588 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.040, N = 5 SE +/- 0.014, N = 3 1.091 1.760 2.632 4.078 1.799
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 5.02 Mode: CPU Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 6K 12K 18K 24K 30K SE +/- 49.20, N = 3 SE +/- 131.17, N = 3 SE +/- 62.03, N = 3 SE +/- 303.72, N = 4 SE +/- 43.88, N = 3 6966 11547 16856 28015 10645
rays1bench This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.73, N = 15 SE +/- 0.36, N = 5 SE +/- 1.37, N = 15 SE +/- 0.11, N = 4 42.88 58.18 92.93 140.52 64.07
toyBrot Fractal Generator ToyBrot is a Mandelbrot fractal generator supporting C++ threads/tasks, OpenMP, Intel Threaded Building Blocks (TBB), and other targets. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: OpenMP Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 14K 28K 42K 56K 70K SE +/- 4.36, N = 3 SE +/- 391.37, N = 4 SE +/- 146.07, N = 3 SE +/- 107.79, N = 3 SE +/- 7.69, N = 3 67636 35011 27930 16649 44601 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: C++ Tasks Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 14K 28K 42K 56K 70K SE +/- 18.98, N = 3 SE +/- 333.67, N = 6 SE +/- 139.60, N = 3 SE +/- 74.97, N = 4 SE +/- 62.61, N = 3 67074 34273 26411 16130 44487 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: C++ Threads Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 14K 28K 42K 56K 70K SE +/- 12.10, N = 3 SE +/- 369.38, N = 5 SE +/- 188.36, N = 3 SE +/- 40.97, N = 4 SE +/- 32.13, N = 3 66907 33661 26404 15729 44317 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: TBB Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 14K 28K 42K 56K 70K SE +/- 44.80, N = 3 SE +/- 283.09, N = 8 SE +/- 176.04, N = 15 SE +/- 159.64, N = 4 SE +/- 504.97, N = 4 66308 33558 26856 15522 44588 1. (CXX) g++ options: -O3 -lpthread
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 40 80 120 160 200 SE +/- 0.71, N = 3 SE +/- 0.54, N = 3 SE +/- 0.79, N = 4 SE +/- 0.39, N = 8 SE +/- 0.71, N = 3 160.96 97.31 67.70 44.50 110.99
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 400 800 1200 1600 2000 SE +/- 0.91, N = 3 SE +/- 0.32, N = 3 SE +/- 6.91, N = 3 SE +/- 1.07, N = 3 SE +/- 0.46, N = 3 2083.64 1226.63 804.74 494.93 1428.51
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.18, N = 3 SE +/- 0.76, N = 3 SE +/- 0.69, N = 3 SE +/- 0.53, N = 3 SE +/- 0.67, N = 3 1154.64 696.12 474.24 317.43 823.26
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 19.8.1 Time To Compile Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 200 400 600 800 1000 SE +/- 0.20, N = 3 SE +/- 0.51, N = 3 SE +/- 0.24, N = 3 SE +/- 0.60, N = 3 SE +/- 0.95, N = 3 904.42 549.72 369.19 237.87 637.19
Timed Godot Game Engine Compilation This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Godot Game Engine Compilation 4.0 Time To Compile Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 120 240 360 480 600 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 1.49, N = 3 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 573.70 349.65 240.18 154.33 409.90
Timed Mesa Compilation This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 21.0 Time To Compile Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.46, N = 5 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 SE +/- 0.39, N = 3 71.41 42.82 30.98 21.11 51.37
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 100M 200M 300M 400M 500M SE +/- 701792.74, N = 7 SE +/- 3198643.76, N = 3 SE +/- 1921308.98, N = 3 SE +/- 1921080.26, N = 3 SE +/- 143988.29, N = 5 447645786 350297633 312805100 412479533 404794220 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
easyWave The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 70 140 210 280 350 SE +/- 0.04, N = 3 SE +/- 0.51, N = 3 SE +/- 0.55, N = 3 SE +/- 0.97, N = 3 SE +/- 0.19, N = 3 139.77 139.42 305.01 138.15 138.92 1. (CXX) g++ options: -O3 -fopenmp
High Performance Conjugate Gradient HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 3 6 9 12 15 SE +/- 0.00545, N = 3 SE +/- 0.01012, N = 3 SE +/- 0.00762, N = 3 SE +/- 0.00243, N = 3 SE +/- 0.00381, N = 3 8.44209 9.97638 8.47038 10.00680 7.92843 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 80 160 240 320 400 SE +/- 0.97, N = 3 SE +/- 2.94, N = 3 SE +/- 2.41, N = 3 SE +/- 0.58, N = 3 SE +/- 1.35, N = 3 373.94 338.20 230.43 166.84 315.10
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 60 120 180 240 300 SE +/- 0.23, N = 3 SE +/- 1.46, N = 3 SE +/- 1.85, N = 5 SE +/- 0.30, N = 3 SE +/- 0.08, N = 3 253.49 259.76 167.09 104.21 194.97
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30 60 90 120 150 SE +/- 0.48, N = 3 SE +/- 1.45, N = 4 SE +/- 0.80, N = 15 SE +/- 0.66, N = 3 SE +/- 0.60, N = 3 129.29 138.45 92.20 62.45 106.41
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Core i3 14100 Core i9 14900K Ryzen 5 8600G 0.2624 0.5248 0.7872 1.0496 1.312 SE +/- 0.008, N = 12 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.967 1.166 1.108 1. (CXX) g++ options: -O3
Implementation: MPI CPU - Input: water_GMX50_bare
Core i5 14500: The test quit with a non-zero exit status. E: Fatal error:
Core i5 14600K: The test quit with a non-zero exit status. E: Fatal error:
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 0.5422 1.0844 1.6266 2.1688 2.711 SE +/- 0.00101, N = 3 SE +/- 0.00246, N = 3 SE +/- 0.08728, N = 15 SE +/- 0.00044, N = 3 SE +/- 0.00085, N = 3 2.21801 1.48040 2.40974 0.60373 2.34626
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 11K 22K 33K 44K 55K SE +/- 9.76, N = 3 SE +/- 185.25, N = 3 SE +/- 21.13, N = 3 SE +/- 68.20, N = 3 SE +/- 18.67, N = 3 27444.76 32355.56 34299.99 52442.51 23990.99 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 700 1400 2100 2800 3500 SE +/- 9.68, N = 5 SE +/- 14.36, N = 15 SE +/- 17.66, N = 15 SE +/- 43.47, N = 15 SE +/- 8.89, N = 6 925.90 1169.63 1747.66 3171.89 1088.33 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 6K 12K 18K 24K 30K SE +/- 90.55, N = 3 SE +/- 128.50, N = 15 SE +/- 404.00, N = 15 SE +/- 224.87, N = 4 SE +/- 196.38, N = 3 16515.65 21089.20 19852.19 29498.12 16230.08 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 5K 10K 15K 20K 25K SE +/- 12.14, N = 3 SE +/- 109.62, N = 3 SE +/- 28.62, N = 3 SE +/- 66.79, N = 4 SE +/- 3.16, N = 3 12772.01 17846.57 16480.76 23688.27 11076.45 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 3K 6K 9K 12K 15K SE +/- 10.19, N = 3 SE +/- 28.09, N = 3 SE +/- 23.13, N = 3 SE +/- 11.24, N = 3 SE +/- 4.05, N = 3 12572.30 14183.84 12094.94 16336.12 11016.99 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 6K 12K 18K 24K 30K SE +/- 9.85, N = 5 SE +/- 23.58, N = 6 SE +/- 481.79, N = 15 SE +/- 38.79, N = 6 SE +/- 16.53, N = 5 21611.88 29447.19 22818.88 28836.22 19896.12 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 2K 4K 6K 8K 10K SE +/- 133.49, N = 15 SE +/- 70.04, N = 13 SE +/- 168.54, N = 15 SE +/- 21.63, N = 4 SE +/- 27.46, N = 3 7189.84 8607.45 7929.40 10545.21 8519.74 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 30 60 90 120 150 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 76.63 63.85 115.88 43.41 79.49 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 40 80 120 160 200 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 142.85 125.86 134.50 125.40 158.46 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
miniFE MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 3K 6K 9K 12K 15K SE +/- 0.77, N = 3 SE +/- 9.97, N = 3 SE +/- 9.52, N = 3 SE +/- 105.72, N = 3 SE +/- 9.98, N = 3 10130.20 12312.10 7981.27 11309.70 8770.55 1. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
libxsmm Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 Core i3 14100 Core i5 14500 Core i5 14600K Core i9 14900K Ryzen 5 8600G 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 0.24, N = 3 SE +/- 0.24, N = 3 SE +/- 0.03, N = 3 SE +/- 0.55, N = 3 131.5 158.5 125.4 159.1 126.5 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2