Ryzen 5 5600X Linux Performance

AMD Ryzen 5 5600X initial Linux benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011066-FI-AMDRYZEN960
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Audio Encoding 2 Tests
AV1 4 Tests
Bioinformatics 2 Tests
C++ Boost Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 35 Tests
Compression Tests 3 Tests
CPU Massive 47 Tests
Creator Workloads 47 Tests
Cryptography 4 Tests
Encoding 11 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 26 Tests
Imaging 11 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 13 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 49 Tests
NVIDIA GPU Compute 9 Tests
OCR 2 Tests
Intel oneAPI 6 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 6 Tests
Productivity 5 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 5 Tests
Raytracing 4 Tests
Renderers 12 Tests
Scientific Computing 12 Tests
Server 3 Tests
Server CPU Tests 31 Tests
Single-Threaded 17 Tests
Speech 3 Tests
Telephony 3 Tests
Texture Compression 2 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 4 Tests

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  Test
  Duration
Core i5 10600K
November 01 2020
  12 Hours, 45 Minutes
Core i9 10900K
October 16 2020
  10 Hours, 19 Minutes
Ryzen 5 2600
October 31 2020
  16 Hours, 2 Minutes
Ryzen 5 2600X
October 30 2020
  15 Hours, 31 Minutes
Ryzen 5 3600X
October 29 2020
  12 Hours, 32 Minutes
Ryzen 7 3800XT
October 27 2020
  11 Hours, 40 Minutes
Ryzen 9 3900X
October 18 2020
  10 Hours, 45 Minutes
Ryzen 9 3900XT
October 17 2020
  10 Hours, 27 Minutes
Ryzen 9 3950X
October 15 2020
  9 Hours, 57 Minutes
Ryzen 5 5600X
November 05 2020
  11 Hours, 32 Minutes
Ryzen 9 5900X
October 19 2020
  10 Hours, 19 Minutes
Ryzen 9 5950X
October 21 2020
  8 Hours, 23 Minutes
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  11 Hours, 41 Minutes

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Core i5 10600K

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i9 10900K

Changed Processor to Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads).

Processor Change: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Security Change: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 5 2600

Changed Processor to AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads).

Changed Motherboard to ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS).

Changed Chipset to AMD 17h.

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d
Security Change: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 5 2600X

Changed Processor to AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads).

Ryzen 5 3600X

Changed Processor to AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads).

Changed Chipset to AMD Starship/Matisse.

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Security Change: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 7 3800XT

Changed Processor to AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads).

Ryzen 9 3900X

Changed Processor to AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads).

Ryzen 9 3900XT

Changed Processor to AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads).

Ryzen 9 3950X

Changed Processor to AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads).

Ryzen 5 5600X

Changed Processor to AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads).

Changed Motherboard to ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS).

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009
Security Change: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 5900X

Changed Processor to AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads).

Ryzen 9 5950X

Changed Processor to AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads).

Ryzen 5 5600X Linux PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XIntel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GB2000GB Corsair Force MP600 + 2000GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28UUbuntu 20.045.9.0-050900-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0)1.2.145GCC 9.3.0ext41920x1080Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)AMD 17hAMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads)AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)AMD Starship/MatisseAMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS)Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Core i5 10600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1- Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- Ryzen 5 2600: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 2600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 3600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 7 3800XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 5 5600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 9 5900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 9 5950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009Java Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Python 2.7.18 + Python 3.8.5Security Details- Core i5 10600K: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i9 10900K: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 2600: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 2600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 3600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 3800XT: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3900XT: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 5600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XLogarithmic Result OverviewPhoronix Test SuiteACES DGEMMAircrack-ngIntel Open Image DenoiseJohn The RipperOpenVINOOpenVKLOpenSSLoneDNNTSCPBRL-CADN-QueensChaos Group V-RAYEmbreem-queensTTSIOD 3D RendererSVT-AV1asmFishTachyonYafaRayStockfishSmallptBlenderLuxCoreRenderTimed MPlayer CompilationLAMMPS Molecular Dynamics SimulatorKvazaarNAMDPOV-Rayx265C-RayTimed Linux Kernel CompilationTimed LLVM CompilationTimed FFmpeg Compilation7-Zip Compressionx264TensorFlow LiteAppleseedSunflow Rendering SystemTungsten RendererNeatBenchGROMACSSVT-VP9Timed ImageMagick CompilationGraphicsMagickNumenta Anomaly BenchmarkOCRMyPDFRodiniaASTC EncoderTimed PHP CompilationMobile Neural NetworkBasis UniversalSciMarkNCNNNebular Empirical Analysis ToolWireGuard + Linux Networking Stack Stress TestLibRawdav1dlibavif avifencAOM AV1PlaidMLZstd CompressionTimed GDB GNU Debugger CompilationPolyhedron Fortran BenchmarksDaCapo BenchmarkNumpy BenchmarkVP9 libvpx EncodingTimed Apache CompilationRadiance BenchmarkTimed MAFFT AlignmentTimed MrBayes AnalysisSQLite SpeedtestInkscapelibjpeg-turbo tjbenchCraftyPyPerformanceFhourstonesPerl BenchmarksMonte Carlo Simulations of Ionised NebulaeLibreOfficeHierarchical INTegrationMontage Astronomical Image Mosaic EngineRawTherapeeC-BloscPyBenchTesseract OCRLAME MP3 EncodingGIMPeSpeak-NG Speech EngineDeepSpeechGNU Octave BenchmarkFLAC Audio EncodingWebP Image EncodeCloverLeafFFTEDolfynctx_clockBYTE Unix BenchmarkSeleniumG'MICRNNoiseGEGLBotanTNNMlpack Benchmark

Ryzen 5 5600X Linux Performancemt-dgemm: Sustained Floating-Point Rateaircrack-ng: onednn: Deconvolution Batch deconv_1d - f32 - CPUjohn-the-ripper: MD5openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUoidn: Memorialonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvkl: vklBenchmarkopenssl: RSA 4096-bit Performancejohn-the-ripper: Blowfishtscp: AI Chess Performanceembree: Pathtracer ISPC - Crownbrl-cad: VGR Performance Metricn-queens: Elapsed Timeembree: Pathtracer - Crownv-ray: CPUkvazaar: Bosphorus 4K - Slowscimark2: Dense LU Matrix Factorizationkvazaar: Bosphorus 4K - Mediumm-queens: Time To Solvesvt-av1: Enc Mode 8 - 1080pembree: Pathtracer ISPC - Asian Dragonttsiod-renderer: Phong Rendering With Soft-Shadow Mappingblender: Fishy Cat - CPU-Onlygraphics-magick: Enhancedasmfish: 1024 Hash Memory, 26 Depthtachyon: Total Timeyafaray: Total Time For Sample Scenerodinia: OpenMP LavaMDstockfish: Total Timeonednn: IP Batch 1D - f32 - CPUsvt-av1: Enc Mode 4 - 1080psmallpt: Global Illumination Renderer; 128 Samplestungsten: Volumetric Causticembree: Pathtracer - Asian Dragonblender: Classroom - CPU-Onlyluxcorerender: Rainbow Colors and Prismastcenc: Exhaustivekvazaar: Bosphorus 4K - Ultra Fastbasis: UASTC Level 3build-mplayer: Time To Compileastcenc: Thoroughtungsten: Non-Exponentialkvazaar: Bosphorus 4K - Very Fastluxcorerender: DLSCkvazaar: Bosphorus 1080p - Slowblender: BMW27 - CPU-Onlytensorflow-lite: Inception ResNet V2kvazaar: Bosphorus 1080p - Mediumlammps: Rhodopsin Proteintensorflow-lite: Mobilenet Floattensorflow-lite: Inception V4namd: ATPase Simulation - 327,506 Atomspovray: Trace Timex265: Bosphorus 4Konednn: IP Batch All - f32 - CPUc-ray: Total Time - 4K, 16 Rays Per Pixelgraphics-magick: Resizingbuild-linux-kernel: Time To Compiletensorflow-lite: SqueezeNetrodinia: OpenMP CFD Solvertungsten: Hairbuild-llvm: Time To Compilenumenta-nab: Earthgecko Skylinetensorflow-lite: Mobilenet Quantbuild-ffmpeg: Time To Compileappleseed: Emilybasis: UASTC Level 2compress-7zip: Compress Speed Testx264: H.264 Video Encodingsvt-vp9: Visual Quality Optimized - Bosphorus 1080pappleseed: Disney Materialsunflow: Global Illumination + Image Synthesispolyhedron: linpkncnn: CPU-v2-v2 - mobilenet-v2appleseed: Material Testerneatbench: CPUkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastncnn: CPU - efficientnet-b0gromacs: Water Benchmarknumenta-nab: Relative Entropybuild-imagemagick: Time To Compilemnn: inception-v3mnn: SqueezeNetV1.0ncnn: CPU-v3-v3 - mobilenet-v3numenta-nab: Windowed Gaussianscimark2: Fast Fourier Transformavifenc: 0ocrmypdf: Processing 60 Page PDF Documentncnn: CPU - mobilenetavifenc: 2svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pdav1d: Chimera 1080pmnn: MobileNetV2_224build-php: Time To Compiletensorflow-lite: NASNet Mobilemnn: resnet-v2-50dav1d: Summer Nature 4Kdacapobench: Tradesoapnumenta-nab: Bayesian Changepointrodinia: OpenMP Leukocyteneat: wireguard: ncnn: CPU - squeezenetlibraw: Post-Processing Benchmarkncnn: CPU - yolov4-tinycompress-zstd: 19compress-zstd: 3aom-av1: Speed 8 Realtimencnn: CPU - googlenetaom-av1: Speed 4 Two-Passplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - Inception V3 - CPUncnn: CPU - resnet50tungsten: Water Causticaom-av1: Speed 6 Two-Passbuild-gdb: Time To Compilevpxenc: Speed 5aom-av1: Speed 6 Realtimeplaidml: No - Inference - Mobilenet - CPUperl-benchmark: Pod2htmlradiance: Serialbasis: UASTC Level 0numpy: dacapobench: Jythonbuild-apache: Time To Compileradiance: SMP Parallelpyperformance: raytracemafft: Multiple Sequence Alignment - LSU RNAscimark2: Compositevpxenc: Speed 0mrbayes: Primate Phylogeny Analysissqlite-speedtest: Timed Time - Size 1,000inkscape: SVG Files To PNGpyperformance: nbodygimp: resizetjbench: Decompression Throughputcrafty: Elapsed Timeastcenc: Mediumselenium: ARES-6 - Google Chromebasis: ETC1Sselenium: Speedometer - Google Chromeselenium: StyleBench - Google Chromefhourstones: Complex Connect-4 Solvinggraphics-magick: Rotatepolyhedron: proteinmocassin: Dust 2D tau100.0pyperformance: pathliblibreoffice: 20 Documents To PDFdav1d: Chimera 1080p 10-bithint: FLOATpyperformance: regex_compileselenium: Jetstream 2 - Google Chromemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degrodinia: OpenMP HotSpot3Drawtherapee: Total Benchmark Timeblosc: blosclzselenium: Kraken - Google Chromepyperformance: python_startuppybench: Total For Average Test Timesdacapobench: H2tesseract-ocr: Time To OCR 7 Imagesselenium: WASM collisionDetection - Firefoxwebp: Quality 100, Losslessencode-mp3: WAV To MP3caffe: AlexNet - CPU - 200espeak: Text-To-Speech Synthesisavifenc: 8webp: Quality 100, Highest Compressionperl-benchmark: Interpreterncnn: CPU - resnet18deepspeech: CPUgimp: auto-levelsgimp: rotateoctave-benchmark: encode-flac: WAV To FLACwebp: Quality 100caffe: GoogleNet - CPU - 200avifenc: 10cloverleaf: Lagrangian-Eulerian Hydrodynamicswebp: Defaultffte: N=256, 3D Complex FFT Routinedolfyn: Computational Fluid Dynamicsctx-clock: Context Switch Timebyte: Dhrystone 2gmic: Plotting Isosurface Of A 3D Volume, 1000 Timeswebp: Quality 100, Lossless, Highest Compressiongegl: Scalepolyhedron: airscimark2: Monte Carlornnoise: selenium: WASM collisionDetection - Google Chromegegl: Color Enhanceselenium: Jetstream 2 - Firefoxgegl: Rotate 90 Degreesgegl: Cropselenium: Kraken - Firefoxgegl: Antialiasselenium: WASM imageConvolute - Google Chromegegl: Reflectmlpack: scikit_svmselenium: WASM imageConvolute - Firefoxbotan: Twofishbotan: Blowfishtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1botan: CAST-256selenium: Maze Solver - Firefoxselenium: Maze Solver - Google Chromemlpack: scikit_qdaopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUncnn: CPU - alexnetncnn: CPU - vgg16ncnn: CPU - blazefacencnn: CPU - mnasnetncnn: CPU - shufflenet-v2mnn: mobilenet-v1-1.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 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ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.010830, N = 3SE +/- 0.042599, N = 3SE +/- 0.005947, N = 3SE +/- 0.012114, N = 4SE +/- 0.031404, N = 3SE +/- 0.031737, N = 8SE +/- 0.046914, N = 7SE +/- 0.056961, N = 3SE +/- 0.064485, N = 15SE +/- 0.063332, N = 3SE +/- 0.081541, N = 3SE +/- 0.129211, N = 32.7408915.3032400.9337030.9806012.2852113.0046234.1679654.2365345.4767334.0196497.4312499.0653961. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 2.72 / Avg: 2.74 / Max: 2.75Min: 5.22 / Avg: 5.3 / Max: 5.35Min: 0.93 / Avg: 0.93 / Max: 0.95Min: 0.95 / Avg: 0.98 / Max: 1Min: 2.22 / Avg: 2.29 / Max: 2.33Min: 2.89 / Avg: 3 / Max: 3.13Min: 4.01 / Avg: 4.17 / Max: 4.36Min: 4.13 / Avg: 4.24 / Max: 4.31Min: 5.09 / Avg: 5.48 / Max: 5.89Min: 3.94 / Avg: 4.02 / Max: 4.15Min: 7.27 / Avg: 7.43 / Max: 7.52Min: 8.81 / Avg: 9.07 / Max: 9.21. (CC) gcc options: -O3 -march=native -fopenmp

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X16K32K48K64K80KSE +/- 7.26, N = 3SE +/- 14.95, N = 3SE +/- 7.25, N = 3SE +/- 7.18, N = 3SE +/- 13.11, N = 3SE +/- 22.25, N = 3SE +/- 45.94, N = 3SE +/- 14.11, N = 3SE +/- 24.81, N = 3SE +/- 21.62, N = 3SE +/- 55.59, N = 3SE +/- 44.40, N = 325302.4545909.659919.7910871.2022344.1530745.6142773.9743919.3158788.4732451.2561777.8574570.421. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X13K26K39K52K65KMin: 25294.68 / Avg: 25302.45 / Max: 25316.96Min: 45888.8 / Avg: 45909.65 / Max: 45938.64Min: 9906.94 / Avg: 9919.79 / Max: 9932.05Min: 10860.69 / Avg: 10871.2 / Max: 10884.93Min: 22324.69 / Avg: 22344.15 / Max: 22369.1Min: 30721.28 / Avg: 30745.6 / Max: 30790.04Min: 42728.02 / Avg: 42773.97 / Max: 42865.85Min: 43901.61 / Avg: 43919.31 / Max: 43947.19Min: 58750.5 / Avg: 58788.47 / Max: 58835.11Min: 32412.02 / Avg: 32451.25 / Max: 32486.62Min: 61717.88 / Avg: 61777.85 / Max: 61888.92Min: 74486.58 / Avg: 74570.42 / Max: 74637.661. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.02430, N = 3SE +/- 0.01117, N = 3SE +/- 0.19687, N = 3SE +/- 0.11026, N = 10SE +/- 0.02579, N = 3SE +/- 0.06515, N = 15SE +/- 0.03302, N = 3SE +/- 0.00634, N = 3SE +/- 0.00820, N = 3SE +/- 0.01194, N = 3SE +/- 0.00462, N = 3SE +/- 0.00617, N = 35.459672.9625312.6867011.884506.590164.488763.264373.153042.476064.920772.724672.27610MIN: 5.25MIN: 2.92MIN: 12.17MIN: 11.22MIN: 6.32MIN: 4.22MIN: 3.14MIN: 3.08MIN: 2.42MIN: 4.73MIN: 2.66MIN: 2.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 5.43 / Avg: 5.46 / Max: 5.51Min: 2.95 / Avg: 2.96 / Max: 2.98Min: 12.39 / Avg: 12.69 / Max: 13.06Min: 11.53 / Avg: 11.88 / Max: 12.69Min: 6.55 / Avg: 6.59 / Max: 6.64Min: 4.29 / Avg: 4.49 / Max: 5.23Min: 3.2 / Avg: 3.26 / Max: 3.31Min: 3.14 / Avg: 3.15 / Max: 3.16Min: 2.47 / Avg: 2.48 / Max: 2.49Min: 4.9 / Avg: 4.92 / Max: 4.94Min: 2.72 / Avg: 2.72 / Max: 2.73Min: 2.26 / Avg: 2.28 / Max: 2.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X500K1000K1500K2000K2500KSE +/- 620.08, N = 3SE +/- 10837.18, N = 3SE +/- 543.95, N = 3SE +/- 64.00, N = 3SE +/- 390.65, N = 3SE +/- 1317.78, N = 3SE +/- 1201.85, N = 3SE +/- 1666.67, N = 3SE +/- 9609.02, N = 3SE +/- 1193.14, N = 3SE +/- 2027.59, N = 3SE +/- 577.35, N = 3752998133133340257244300872408399159913666671413667186800096368618406672226000-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X400K800K1200K1600K2000KMin: 752179 / Avg: 752998 / Max: 754214Min: 1320000 / Avg: 1331333.33 / Max: 1353000Min: 402009 / Avg: 402572.33 / Max: 403660Min: 442944 / Avg: 443008 / Max: 443136Min: 723532 / Avg: 724082.67 / Max: 724838Min: 989491 / Avg: 991599 / Max: 994023Min: 1365000 / Avg: 1366666.67 / Max: 1369000Min: 1412000 / Avg: 1413666.67 / Max: 1417000Min: 1849000 / Avg: 1868000 / Max: 1880000Min: 961996 / Avg: 963686 / Max: 965990Min: 1837000 / Avg: 1840666.67 / Max: 1844000Min: 2225000 / Avg: 2226000 / Max: 22270001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3K6K9K12K15KSE +/- 15.37, N = 3SE +/- 17.62, N = 3SE +/- 2.54, N = 3SE +/- 4.78, N = 3SE +/- 10.70, N = 3SE +/- 17.51, N = 3SE +/- 41.23, N = 3SE +/- 36.37, N = 3SE +/- 122.60, N = 3SE +/- 5.04, N = 3SE +/- 11.51, N = 3SE +/- 16.60, N = 35506.569817.082518.632742.775795.797134.909097.748760.8412280.856330.5610933.3313580.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2K4K6K8K10KMin: 5489.53 / Avg: 5506.56 / Max: 5537.23Min: 9786.88 / Avg: 9817.08 / Max: 9847.92Min: 2513.62 / Avg: 2518.63 / Max: 2521.9Min: 2733.7 / Avg: 2742.77 / Max: 2749.91Min: 5774.8 / Avg: 5795.79 / Max: 5809.87Min: 7110.01 / Avg: 7134.9 / Max: 7168.67Min: 9028.98 / Avg: 9097.74 / Max: 9171.53Min: 8689.71 / Avg: 8760.84 / Max: 8809.57Min: 12100.42 / Avg: 12280.85 / Max: 12514.87Min: 6320.66 / Avg: 6330.56 / Max: 6337.17Min: 10921.41 / Avg: 10933.33 / Max: 10956.34Min: 13547.59 / Avg: 13580.75 / Max: 13598.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3K6K9K12K15KSE +/- 16.16, N = 3SE +/- 69.83, N = 3SE +/- 2.99, N = 3SE +/- 2.00, N = 3SE +/- 26.31, N = 3SE +/- 38.82, N = 3SE +/- 28.66, N = 3SE +/- 3.76, N = 3SE +/- 34.34, N = 3SE +/- 3.08, N = 3SE +/- 8.30, N = 3SE +/- 14.40, N = 35477.659817.402515.452728.145700.857092.349125.698748.7912650.246222.6310990.5413518.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2K4K6K8K10KMin: 5450.51 / Avg: 5477.65 / Max: 5506.43Min: 9677.91 / Avg: 9817.4 / Max: 9893.09Min: 2510.18 / Avg: 2515.45 / Max: 2520.54Min: 2724.48 / Avg: 2728.14 / Max: 2731.37Min: 5667.58 / Avg: 5700.85 / Max: 5752.79Min: 7014.79 / Avg: 7092.34 / Max: 7134.37Min: 9092.63 / Avg: 9125.69 / Max: 9182.78Min: 8741.34 / Avg: 8748.79 / Max: 8753.43Min: 12612.9 / Avg: 12650.24 / Max: 12718.83Min: 6217.28 / Avg: 6222.63 / Max: 6227.96Min: 10974.05 / Avg: 10990.54 / Max: 11000.47Min: 13491.95 / Avg: 13518.29 / Max: 13541.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 36.8711.102.683.126.367.6511.0410.4612.896.9711.9113.74
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 6.84 / Avg: 6.87 / Max: 6.92Min: 11.09 / Avg: 11.1 / Max: 11.1Min: 2.68 / Avg: 2.68 / Max: 2.68Min: 3.1 / Avg: 3.12 / Max: 3.15Min: 6.36 / Avg: 6.36 / Max: 6.37Min: 7.64 / Avg: 7.65 / Max: 7.65Min: 11.01 / Avg: 11.04 / Max: 11.07Min: 10.4 / Avg: 10.46 / Max: 10.51Min: 12.85 / Avg: 12.89 / Max: 12.91Min: 6.97 / Avg: 6.97 / Max: 6.98Min: 11.84 / Avg: 11.91 / Max: 11.96Min: 13.73 / Avg: 13.74 / Max: 13.74

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.10039, N = 3SE +/- 0.00812, N = 3SE +/- 0.05307, N = 3SE +/- 0.09746, N = 3SE +/- 0.11188, N = 3SE +/- 0.02969, N = 3SE +/- 0.00218, N = 3SE +/- 0.01077, N = 3SE +/- 0.00337, N = 3SE +/- 0.01096, N = 3SE +/- 0.01329, N = 3SE +/- 0.00365, N = 38.719104.7876618.9968017.585809.023366.865575.084605.253664.297137.603244.716703.71587MIN: 8.56MIN: 4.68MIN: 17.75MIN: 16.17MIN: 8.56MIN: 6.67MIN: 5.02MIN: 5.14MIN: 4.2MIN: 7.37MIN: 4.35MIN: 3.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 8.58 / Avg: 8.72 / Max: 8.92Min: 4.77 / Avg: 4.79 / Max: 4.8Min: 18.92 / Avg: 19 / Max: 19.1Min: 17.42 / Avg: 17.59 / Max: 17.76Min: 8.85 / Avg: 9.02 / Max: 9.23Min: 6.82 / Avg: 6.87 / Max: 6.92Min: 5.08 / Avg: 5.08 / Max: 5.09Min: 5.24 / Avg: 5.25 / Max: 5.27Min: 4.29 / Avg: 4.3 / Max: 4.3Min: 7.59 / Avg: 7.6 / Max: 7.62Min: 4.69 / Avg: 4.72 / Max: 4.73Min: 3.71 / Avg: 3.72 / Max: 3.721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X160320480640800SE +/- 1.39, N = 3SE +/- 2.01, N = 3SE +/- 1.93, N = 3SE +/- 0.57, N = 3SE +/- 1.94, N = 3SE +/- 0.55, N = 3SE +/- 1.41, N = 3SE +/- 0.37, N = 3SE +/- 1.14, N = 3SE +/- 0.23, N = 3SE +/- 0.56, N = 3SE +/- 0.55, N = 3344.92214.09722.40658.70318.34263.00232.66220.22207.12282.75179.87161.22MIN: 339.7MIN: 206.29MIN: 718.59MIN: 654.48MIN: 312.42MIN: 260.82MIN: 229.79MIN: 218.35MIN: 203.26MIN: 281.12MIN: 178.58MIN: 159.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X130260390520650Min: 342.3 / Avg: 344.92 / Max: 347.01Min: 210.4 / Avg: 214.09 / Max: 217.32Min: 720.46 / Avg: 722.4 / Max: 726.26Min: 657.56 / Avg: 658.7 / Max: 659.3Min: 315 / Avg: 318.34 / Max: 321.73Min: 262.42 / Avg: 263 / Max: 264.1Min: 231.03 / Avg: 232.66 / Max: 235.46Min: 219.52 / Avg: 220.22 / Max: 220.77Min: 204.85 / Avg: 207.12 / Max: 208.38Min: 282.35 / Avg: 282.75 / Max: 283.16Min: 179.19 / Avg: 179.87 / Max: 180.97Min: 160.17 / Avg: 161.22 / Max: 162.011. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.55581.11161.66742.22322.779SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.281.930.570.631.291.562.101.972.431.292.202.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 1.27 / Avg: 1.28 / Max: 1.29Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.62 / Avg: 0.63 / Max: 0.63Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.56 / Avg: 1.56 / Max: 1.56Min: 2.09 / Avg: 2.1 / Max: 2.1Min: 1.95 / Avg: 1.97 / Max: 2Min: 2.4 / Avg: 2.43 / Max: 2.47Min: 1.27 / Avg: 1.29 / Max: 1.3Min: 2.19 / Avg: 2.2 / Max: 2.23Min: 2.45 / Avg: 2.47 / Max: 2.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.55131.10261.65392.20522.7565SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.281.930.570.621.281.522.071.992.431.262.192.451. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.91 / Avg: 1.93 / Max: 1.94Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.62 / Avg: 0.62 / Max: 0.63Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.48 / Avg: 1.52 / Max: 1.55Min: 2.06 / Avg: 2.07 / Max: 2.08Min: 1.98 / Avg: 1.99 / Max: 2Min: 2.42 / Avg: 2.43 / Max: 2.46Min: 1.25 / Avg: 1.26 / Max: 1.27Min: 2.19 / Avg: 2.19 / Max: 2.2Min: 2.43 / Avg: 2.45 / Max: 2.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.81451.6292.44353.2584.0725SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.113.340.850.951.681.942.782.623.251.803.063.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 2.11 / Avg: 2.11 / Max: 2.11Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 0.85 / Avg: 0.85 / Max: 0.86Min: 0.95 / Avg: 0.95 / Max: 0.95Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 1.93 / Avg: 1.94 / Max: 1.95Min: 2.76 / Avg: 2.78 / Max: 2.79Min: 2.61 / Avg: 2.62 / Max: 2.63Min: 3.25 / Avg: 3.25 / Max: 3.25Min: 1.79 / Avg: 1.8 / Max: 1.8Min: 3.06 / Avg: 3.06 / Max: 3.06Min: 3.61 / Avg: 3.62 / Max: 3.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.81231.62462.43693.24924.0615SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.103.290.850.951.681.942.782.613.271.783.063.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 2.07 / Avg: 2.1 / Max: 2.12Min: 3.28 / Avg: 3.29 / Max: 3.29Min: 0.85 / Avg: 0.85 / Max: 0.86Min: 0.95 / Avg: 0.95 / Max: 0.96Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 1.93 / Avg: 1.94 / Max: 1.94Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.61 / Avg: 2.61 / Max: 2.62Min: 3.24 / Avg: 3.27 / Max: 3.31Min: 1.77 / Avg: 1.78 / Max: 1.79Min: 3.05 / Avg: 3.06 / Max: 3.07Min: 3.59 / Avg: 3.61 / Max: 3.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.24, N = 3SE +/- 0.49, N = 3SE +/- 0.73, N = 3SE +/- 0.15, N = 3SE +/- 1.28, N = 3SE +/- 0.05, N = 3114.36192.7567.4275.1494.03128.78177.75182.97236.58125.94233.83286.17MIN: 1 / MAX: 458MIN: 1 / MAX: 767MIN: 1 / MAX: 225MIN: 1 / MAX: 251MIN: 1 / MAX: 339MIN: 1 / MAX: 463MIN: 1 / MAX: 634MIN: 1 / MAX: 652MIN: 1 / MAX: 853MIN: 1 / MAX: 503MIN: 1 / MAX: 918MIN: 1 / MAX: 1102
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250Min: 114.33 / Avg: 114.36 / Max: 114.42Min: 192.25 / Avg: 192.75 / Max: 193.42Min: 67.17 / Avg: 67.42 / Max: 67.75Min: 74.58 / Avg: 75.14 / Max: 75.5Min: 93.75 / Avg: 94.03 / Max: 94.17Min: 128.33 / Avg: 128.78 / Max: 129Min: 177.33 / Avg: 177.75 / Max: 178.17Min: 182 / Avg: 182.97 / Max: 183.58Min: 235.58 / Avg: 236.58 / Max: 238Min: 125.75 / Avg: 125.94 / Max: 126.25Min: 231.67 / Avg: 233.83 / Max: 236.08Min: 286.08 / Avg: 286.17 / Max: 286.25

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X10002000300040005000SE +/- 6.82, N = 3SE +/- 13.38, N = 3SE +/- 0.28, N = 3SE +/- 1.43, N = 3SE +/- 0.12, N = 3SE +/- 0.77, N = 3SE +/- 1.56, N = 3SE +/- 2.69, N = 3SE +/- 0.54, N = 3SE +/- 0.64, N = 3SE +/- 0.46, N = 3SE +/- 5.73, N = 32038.23712.31157.01288.71806.42490.63489.83551.04743.42027.33858.34897.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X9001800270036004500Min: 2025.5 / Avg: 2038.17 / Max: 2048.9Min: 3698.8 / Avg: 3712.33 / Max: 3739.1Min: 1156.4 / Avg: 1156.97 / Max: 1157.3Min: 1286.4 / Avg: 1288.67 / Max: 1291.3Min: 1806.2 / Avg: 1806.43 / Max: 1806.6Min: 2489.1 / Avg: 2490.63 / Max: 2491.5Min: 3487.9 / Avg: 3489.8 / Max: 3492.9Min: 3546 / Avg: 3551.03 / Max: 3555.2Min: 4742.8 / Avg: 4743.43 / Max: 4744.5Min: 2026.5 / Avg: 2027.33 / Max: 2028.6Min: 3857.4 / Avg: 3858.3 / Max: 3858.9Min: 4888.4 / Avg: 4897.27 / Max: 49081. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X8K16K24K32K40KSE +/- 1.20, N = 3SE +/- 35.89, N = 3SE +/- 13.53, N = 3SE +/- 9.54, N = 3SE +/- 8.45, N = 3SE +/- 22.65, N = 3SE +/- 49.65, N = 3SE +/- 62.78, N = 3SE +/- 35.59, N = 3SE +/- 10.67, N = 3SE +/- 53.48, N = 3SE +/- 100.07, N = 313022235919113102151048114494202442072928096163013021438305-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X7K14K21K28K35KMin: 13020 / Avg: 13021.67 / Max: 13024Min: 23520 / Avg: 23591.33 / Max: 23634Min: 9086 / Avg: 9112.67 / Max: 9130Min: 10198 / Avg: 10215 / Max: 10231Min: 10468 / Avg: 10481.33 / Max: 10497Min: 14467 / Avg: 14494 / Max: 14539Min: 20174 / Avg: 20244 / Max: 20340Min: 20628 / Avg: 20728.67 / Max: 20844Min: 28051 / Avg: 28095.67 / Max: 28166Min: 16290 / Avg: 16300.67 / Max: 16322Min: 30124 / Avg: 30213.67 / Max: 30309Min: 38150 / Avg: 38304.67 / Max: 384921. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X400K800K1200K1600K2000KSE +/- 2392.41, N = 5SE +/- 2615.51, N = 5SE +/- 26659.00, N = 25SE +/- 3891.87, N = 5SE +/- 2742.19, N = 5SE +/- 11294.71, N = 5SE +/- 3070.42, N = 5SE +/- 9606.45, N = 18SE +/- 4368.74, N = 5SE +/- 2451.81, N = 5SE +/- 2205.85, N = 5SE +/- 21208.90, N = 5148219515727704915201125468132783814018321376972138520614072531900557196007419707761. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X300K600K900K1200K1500KMin: 1476616 / Avg: 1482194.6 / Max: 1488589Min: 1564710 / Avg: 1572769.8 / Max: 1578160Min: 341333 / Avg: 491519.92 / Max: 1024000Min: 1114935 / Avg: 1125468.2 / Max: 1135624Min: 1317650 / Avg: 1327837.8 / Max: 1333602Min: 1380395 / Avg: 1401831.6 / Max: 1434317Min: 1366694 / Avg: 1376971.8 / Max: 1383864Min: 1314505 / Avg: 1385205.72 / Max: 1441827Min: 1397913 / Avg: 1407253 / Max: 1423198Min: 1892707 / Avg: 1900557.4 / Max: 1905806Min: 1953113 / Avg: 1960073.8 / Max: 1967064Min: 1919087 / Avg: 1970775.8 / Max: 20475011. (CC) gcc options: -O3 -march=native

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.1152, N = 3SE +/- 0.0304, N = 3SE +/- 0.0129, N = 3SE +/- 0.0174, N = 3SE +/- 0.0234, N = 3SE +/- 0.0316, N = 3SE +/- 0.0177, N = 3SE +/- 0.0220, N = 3SE +/- 0.1561, N = 3SE +/- 0.1142, N = 3SE +/- 0.0395, N = 3SE +/- 0.1054, N = 39.794617.70415.98126.51248.302511.048214.959415.287319.874610.391219.467923.7842MIN: 9.48 / MAX: 10.12MIN: 17.49 / MAX: 18.13MIN: 5.94 / MAX: 6.09MIN: 6.45 / MAX: 6.62MIN: 8.23 / MAX: 8.46MIN: 10.81 / MAX: 11.32MIN: 14.82 / MAX: 15.29MIN: 15.12 / MAX: 15.64MIN: 19.42 / MAX: 20.41MIN: 9.88 / MAX: 10.68MIN: 19.24 / MAX: 19.87MIN: 23.34 / MAX: 24.54
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 9.57 / Avg: 9.79 / Max: 9.95Min: 17.64 / Avg: 17.7 / Max: 17.74Min: 5.97 / Avg: 5.98 / Max: 6.01Min: 6.48 / Avg: 6.51 / Max: 6.54Min: 8.28 / Avg: 8.3 / Max: 8.35Min: 10.99 / Avg: 11.05 / Max: 11.09Min: 14.93 / Avg: 14.96 / Max: 14.99Min: 15.24 / Avg: 15.29 / Max: 15.31Min: 19.56 / Avg: 19.87 / Max: 20.04Min: 10.16 / Avg: 10.39 / Max: 10.53Min: 19.4 / Avg: 19.47 / Max: 19.53Min: 23.58 / Avg: 23.78 / Max: 23.94

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60K120K180K240K300K101498183810685167530293929131827183744188522248077116652215925267071-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.031, N = 3SE +/- 0.018, N = 3SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.012, N = 3SE +/- 0.014, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 318.75910.35321.62619.42618.01212.9999.2459.0686.70413.4367.2065.6551. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 18.75 / Avg: 18.76 / Max: 18.77Min: 10.35 / Avg: 10.35 / Max: 10.36Min: 21.57 / Avg: 21.63 / Max: 21.67Min: 19.41 / Avg: 19.43 / Max: 19.46Min: 18 / Avg: 18.01 / Max: 18.02Min: 12.97 / Avg: 13 / Max: 13.02Min: 9.22 / Avg: 9.25 / Max: 9.27Min: 9.04 / Avg: 9.07 / Max: 9.09Min: 6.69 / Avg: 6.7 / Max: 6.72Min: 13.43 / Avg: 13.44 / Max: 13.44Min: 7.2 / Avg: 7.21 / Max: 7.22Min: 5.65 / Avg: 5.66 / Max: 5.661. (CC) gcc options: -static -fopenmp -O3 -march=native

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.0261, N = 3SE +/- 0.0182, N = 3SE +/- 0.0595, N = 3SE +/- 0.0168, N = 3SE +/- 0.0259, N = 3SE +/- 0.0479, N = 3SE +/- 0.0537, N = 3SE +/- 0.0477, N = 3SE +/- 0.0376, N = 3SE +/- 0.0102, N = 3SE +/- 0.1287, N = 3SE +/- 0.1569, N = 38.574415.42476.40887.02838.654411.567915.659016.092621.044010.669119.922924.2757MIN: 8.48 / MAX: 8.74MIN: 14.96 / MAX: 15.79MIN: 6.07 / MAX: 6.56MIN: 6.98 / MAX: 7.15MIN: 8.58 / MAX: 8.85MIN: 11.44 / MAX: 11.85MIN: 15.48 / MAX: 16.06MIN: 15.89 / MAX: 16.56MIN: 20.83 / MAX: 21.49MIN: 10.59 / MAX: 10.83MIN: 19.53 / MAX: 20.41MIN: 23.87 / MAX: 25.12
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 8.52 / Avg: 8.57 / Max: 8.6Min: 15.39 / Avg: 15.42 / Max: 15.45Min: 6.29 / Avg: 6.41 / Max: 6.48Min: 7.01 / Avg: 7.03 / Max: 7.06Min: 8.62 / Avg: 8.65 / Max: 8.71Min: 11.51 / Avg: 11.57 / Max: 11.66Min: 15.59 / Avg: 15.66 / Max: 15.77Min: 16.02 / Avg: 16.09 / Max: 16.18Min: 20.97 / Avg: 21.04 / Max: 21.1Min: 10.65 / Avg: 10.67 / Max: 10.68Min: 19.67 / Avg: 19.92 / Max: 20.08Min: 24.08 / Avg: 24.28 / Max: 24.59

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X7K14K21K28K35KSE +/- 22.70, N = 3SE +/- 95.40, N = 3SE +/- 19.88, N = 3SE +/- 17.53, N = 3SE +/- 45.92, N = 3SE +/- 50.98, N = 3SE +/- 51.29, N = 3SE +/- 54.08, N = 3SE +/- 105.68, N = 3SE +/- 53.82, N = 3SE +/- 55.57, N = 3SE +/- 90.96, N = 31126119765872894991140915422209102151728416143102642032561
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X6K12K18K24K30KMin: 11230 / Avg: 11260.67 / Max: 11305Min: 19586 / Avg: 19764.67 / Max: 19912Min: 8701 / Avg: 8728.33 / Max: 8767Min: 9474 / Avg: 9499.33 / Max: 9533Min: 11331 / Avg: 11409 / Max: 11490Min: 15341 / Avg: 15421.67 / Max: 15516Min: 20826 / Avg: 20910 / Max: 21003Min: 21433 / Avg: 21517 / Max: 21618Min: 28242 / Avg: 28416.33 / Max: 28607Min: 14209 / Avg: 14309.67 / Max: 14393Min: 26344 / Avg: 26419.67 / Max: 26528Min: 32428 / Avg: 32561 / Max: 32735

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 33.936.802.913.194.505.967.377.5610.265.168.4710.801. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 3.93 / Avg: 3.93 / Max: 3.94Min: 6.78 / Avg: 6.8 / Max: 6.85Min: 2.9 / Avg: 2.91 / Max: 2.91Min: 3.19 / Avg: 3.19 / Max: 3.2Min: 4.49 / Avg: 4.5 / Max: 4.51Min: 5.95 / Avg: 5.96 / Max: 5.96Min: 7.35 / Avg: 7.37 / Max: 7.39Min: 7.56 / Avg: 7.56 / Max: 7.57Min: 10.24 / Avg: 10.26 / Max: 10.29Min: 5.15 / Avg: 5.16 / Max: 5.16Min: 8.44 / Avg: 8.47 / Max: 8.5Min: 10.77 / Avg: 10.8 / Max: 10.841. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X30060090012001500SE +/- 0.29, N = 3SE +/- 11.39, N = 3SE +/- 2.19, N = 3SE +/- 1.56, N = 3SE +/- 7.05, N = 3SE +/- 26.41, N = 3SE +/- 6.22, N = 3SE +/- 11.76, N = 3SE +/- 11.92, N = 3SE +/- 3.19, N = 3SE +/- 2.29, N = 3SE +/- 3.97, N = 31084.831176.07404.71431.561003.691010.571000.221019.651022.731476.821485.051501.031. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X30060090012001500Min: 1084.3 / Avg: 1084.83 / Max: 1085.29Min: 1153.3 / Avg: 1176.07 / Max: 1187.92Min: 401.41 / Avg: 404.71 / Max: 408.86Min: 428.93 / Avg: 431.56 / Max: 434.33Min: 992.9 / Avg: 1003.69 / Max: 1016.94Min: 963.98 / Avg: 1010.57 / Max: 1055.43Min: 990.15 / Avg: 1000.22 / Max: 1011.58Min: 999.2 / Avg: 1019.65 / Max: 1039.95Min: 1001.48 / Avg: 1022.73 / Max: 1042.7Min: 1470.45 / Avg: 1476.82 / Max: 1480.32Min: 1480.5 / Avg: 1485.05 / Max: 1487.8Min: 1494.36 / Avg: 1501.03 / Max: 1508.111. (CC) gcc options: -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.046.962.973.274.596.077.517.7110.405.258.6010.941. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 4.04 / Avg: 4.04 / Max: 4.05Min: 6.94 / Avg: 6.96 / Max: 7Min: 2.97 / Avg: 2.97 / Max: 2.97Min: 3.26 / Avg: 3.27 / Max: 3.27Min: 4.59 / Avg: 4.59 / Max: 4.59Min: 6.06 / Avg: 6.07 / Max: 6.07Min: 7.49 / Avg: 7.51 / Max: 7.52Min: 7.69 / Avg: 7.71 / Max: 7.73Min: 10.4 / Avg: 10.4 / Max: 10.41Min: 5.25 / Avg: 5.25 / Max: 5.25Min: 8.59 / Avg: 8.6 / Max: 8.61Min: 10.92 / Avg: 10.94 / Max: 10.961. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3108.0659.61104.8093.9990.2365.3446.7445.8233.8470.7437.5429.551. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 108.03 / Avg: 108.06 / Max: 108.08Min: 59.59 / Avg: 59.61 / Max: 59.62Min: 104.69 / Avg: 104.8 / Max: 104.87Min: 93.9 / Avg: 93.99 / Max: 94.05Min: 90.1 / Avg: 90.23 / Max: 90.36Min: 65.18 / Avg: 65.34 / Max: 65.46Min: 46.51 / Avg: 46.74 / Max: 46.87Min: 45.56 / Avg: 45.82 / Max: 46.05Min: 33.75 / Avg: 33.84 / Max: 33.9Min: 70.71 / Avg: 70.74 / Max: 70.78Min: 37.45 / Avg: 37.54 / Max: 37.61Min: 29.37 / Avg: 29.55 / Max: 29.711. (CXX) g++ options: -fopenmp -O2 -march=native

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 321.3838.2313.4214.7418.5128.0035.9536.5943.3322.6043.1548.711. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050Min: 21.27 / Avg: 21.38 / Max: 21.47Min: 38.17 / Avg: 38.23 / Max: 38.3Min: 13.34 / Avg: 13.42 / Max: 13.49Min: 14.68 / Avg: 14.74 / Max: 14.81Min: 18.49 / Avg: 18.51 / Max: 18.53Min: 27.9 / Avg: 28 / Max: 28.15Min: 35.88 / Avg: 35.95 / Max: 35.99Min: 36.43 / Avg: 36.59 / Max: 36.91Min: 43.12 / Avg: 43.33 / Max: 43.44Min: 22.43 / Avg: 22.6 / Max: 22.71Min: 43.1 / Avg: 43.15 / Max: 43.23Min: 48.45 / Avg: 48.71 / Max: 49.011. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.0502, N = 3SE +/- 0.0173, N = 3SE +/- 0.0210, N = 3SE +/- 0.0101, N = 3SE +/- 0.0507, N = 3SE +/- 0.0774, N = 3SE +/- 0.1843, N = 3SE +/- 0.0456, N = 3SE +/- 0.1616, N = 3SE +/- 0.0501, N = 3SE +/- 0.0158, N = 3SE +/- 0.1286, N = 312.337020.42997.11597.58569.512012.400716.525516.832321.663512.177520.479825.5897MIN: 12.23 / MAX: 12.58MIN: 20.28 / MAX: 20.88MIN: 7.05 / MAX: 7.23MIN: 7.54 / MAX: 7.69MIN: 9.4 / MAX: 9.74MIN: 12.25 / MAX: 12.74MIN: 15.44 / MAX: 17.03MIN: 16.65 / MAX: 17.13MIN: 21.35 / MAX: 22.34MIN: 12 / MAX: 12.41MIN: 20.33 / MAX: 20.81MIN: 25.22 / MAX: 26.09
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 12.28 / Avg: 12.34 / Max: 12.44Min: 20.4 / Avg: 20.43 / Max: 20.46Min: 7.07 / Avg: 7.12 / Max: 7.14Min: 7.57 / Avg: 7.59 / Max: 7.6Min: 9.44 / Avg: 9.51 / Max: 9.61Min: 12.31 / Avg: 12.4 / Max: 12.55Min: 16.18 / Avg: 16.53 / Max: 16.8Min: 16.75 / Avg: 16.83 / Max: 16.9Min: 21.47 / Avg: 21.66 / Max: 21.98Min: 12.08 / Avg: 12.18 / Max: 12.25Min: 20.45 / Avg: 20.48 / Max: 20.5Min: 25.33 / Avg: 25.59 / Max: 25.74

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 0.45, N = 3SE +/- 1.29, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 1.57, N = 3SE +/- 0.83, N = 3SE +/- 1.39, N = 3SE +/- 1.05, N = 3SE +/- 0.18, N = 3SE +/- 2.01, N = 3SE +/- 4.72, N = 3417.53706.15285.89305.10420.46545.54670.09684.39829.79576.38873.701025.441. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000Min: 416.63 / Avg: 417.53 / Max: 417.97Min: 703.58 / Avg: 706.15 / Max: 707.46Min: 285.58 / Avg: 285.89 / Max: 286.43Min: 305.03 / Avg: 305.1 / Max: 305.24Min: 420.19 / Avg: 420.46 / Max: 420.91Min: 542.42 / Avg: 545.54 / Max: 547.26Min: 668.67 / Avg: 670.09 / Max: 671.55Min: 681.71 / Avg: 684.39 / Max: 686.39Min: 828.57 / Avg: 829.79 / Max: 831.88Min: 576.07 / Avg: 576.38 / Max: 576.7Min: 870.1 / Avg: 873.7 / Max: 877.04Min: 1020.51 / Avg: 1025.44 / Max: 1034.881. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X80160240320400SE +/- 0.45, N = 3SE +/- 0.98, N = 3SE +/- 0.46, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3288.99162.99366.41334.41271.38200.06146.60141.23107.97233.69124.61102.26
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X70140210280350Min: 288.21 / Avg: 288.99 / Max: 289.76Min: 161.05 / Avg: 162.99 / Max: 164.18Min: 365.54 / Avg: 366.41 / Max: 367.09Min: 334.09 / Avg: 334.41 / Max: 334.7Min: 271.04 / Avg: 271.38 / Max: 271.66Min: 199.96 / Avg: 200.06 / Max: 200.13Min: 146.41 / Avg: 146.6 / Max: 146.93Min: 140.95 / Avg: 141.23 / Max: 141.54Min: 107.94 / Avg: 107.97 / Max: 107.98Min: 233.52 / Avg: 233.69 / Max: 233.98Min: 124.48 / Avg: 124.61 / Max: 124.68Min: 102.14 / Avg: 102.26 / Max: 102.41

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 31502691191311572152983014071763304201. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X70140210280350Min: 131 / Avg: 131.33 / Max: 132Min: 215 / Avg: 215.33 / Max: 216Min: 419 / Avg: 420 / Max: 4221. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X13M26M39M52M65MSE +/- 67429.43, N = 3SE +/- 439150.46, N = 3SE +/- 127286.07, N = 3SE +/- 225356.28, N = 3SE +/- 31310.34, N = 3SE +/- 148329.91, N = 3SE +/- 139565.35, N = 3SE +/- 457800.10, N = 3SE +/- 711272.98, N = 4SE +/- 238676.97, N = 3SE +/- 623050.05, N = 3SE +/- 122568.73, N = 3222944784039245917002246188687502174715429158077388368734008230952929484272751924934871259943519
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X10M20M30M40M50MMin: 22213510 / Avg: 22294478.33 / Max: 22428361Min: 39823314 / Avg: 40392458.67 / Max: 41256354Min: 16801111 / Avg: 17002246 / Max: 17237957Min: 18419578 / Avg: 18868749.67 / Max: 19125584Min: 21715536 / Avg: 21747154.33 / Max: 21809774Min: 28970790 / Avg: 29158077 / Max: 29450964Min: 38652044 / Avg: 38836872.67 / Max: 39110434Min: 39168312 / Avg: 40082308.67 / Max: 40586215Min: 51785361 / Avg: 52929484 / Max: 54947247Min: 26985516 / Avg: 27275192.33 / Max: 27748612Min: 48427999 / Avg: 49348712.33 / Max: 50536248Min: 59800340 / Avg: 59943518.67 / Max: 60187428

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 1.56, N = 4SE +/- 0.15, N = 3SE +/- 2.15, N = 3SE +/- 3.50, N = 12SE +/- 0.13, N = 3SE +/- 0.87, N = 3SE +/- 1.12, N = 3SE +/- 0.11, N = 3SE +/- 0.47, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3120.6465.98153.10148.75117.5687.9473.9760.1246.3799.6652.3643.461. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 118.77 / Avg: 120.64 / Max: 125.28Min: 65.71 / Avg: 65.98 / Max: 66.24Min: 150.55 / Avg: 153.1 / Max: 157.38Min: 137.79 / Avg: 148.75 / Max: 173.19Min: 117.3 / Avg: 117.56 / Max: 117.7Min: 86.35 / Avg: 87.94 / Max: 89.33Min: 71.94 / Avg: 73.97 / Max: 75.82Min: 59.9 / Avg: 60.12 / Max: 60.26Min: 45.62 / Avg: 46.37 / Max: 47.25Min: 99.25 / Avg: 99.66 / Max: 99.95Min: 52.09 / Avg: 52.36 / Max: 52.51Min: 43.27 / Avg: 43.46 / Max: 43.611. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 1.12, N = 3SE +/- 0.20, N = 3SE +/- 1.04, N = 3SE +/- 0.49, N = 3SE +/- 0.22, N = 3SE +/- 0.21, N = 3SE +/- 0.27, N = 3SE +/- 0.56, N = 3SE +/- 0.49, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3198.11109.47231.83212.24180.78133.84103.71100.5579.70146.3280.3966.151. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 196.53 / Avg: 198.11 / Max: 200.29Min: 109.08 / Avg: 109.47 / Max: 109.71Min: 230.33 / Avg: 231.83 / Max: 233.83Min: 211.49 / Avg: 212.24 / Max: 213.16Min: 180.47 / Avg: 180.78 / Max: 181.2Min: 133.45 / Avg: 133.84 / Max: 134.15Min: 103.22 / Avg: 103.71 / Max: 104.14Min: 99.68 / Avg: 100.55 / Max: 101.6Min: 78.73 / Avg: 79.7 / Max: 80.33Min: 146 / Avg: 146.32 / Max: 146.69Min: 80.24 / Avg: 80.39 / Max: 80.53Min: 65.93 / Avg: 66.15 / Max: 66.471. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X80160240320400SE +/- 0.79, N = 3SE +/- 0.85, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.41, N = 3SE +/- 0.13, N = 3306.48170.15362.26330.16309.61227.00164.71159.41120.53231.62123.34103.621. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300Min: 304.94 / Avg: 306.48 / Max: 307.54Min: 169.27 / Avg: 170.15 / Max: 171.85Min: 362.05 / Avg: 362.26 / Max: 362.42Min: 329.94 / Avg: 330.16 / Max: 330.4Min: 309.42 / Avg: 309.61 / Max: 309.86Min: 226.46 / Avg: 227 / Max: 227.33Min: 164.59 / Avg: 164.71 / Max: 164.84Min: 158.99 / Avg: 159.41 / Max: 159.74Min: 120.25 / Avg: 120.53 / Max: 120.7Min: 231.4 / Avg: 231.62 / Max: 231.87Min: 122.73 / Avg: 123.34 / Max: 124.12Min: 103.36 / Avg: 103.62 / Max: 103.761. (CXX) g++ options: -O2 -lOpenCL

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X12M24M36M48M60MSE +/- 21979.47, N = 3SE +/- 66368.72, N = 3SE +/- 72737.67, N = 3SE +/- 72351.59, N = 3SE +/- 72350.39, N = 3SE +/- 154542.53, N = 3SE +/- 69587.97, N = 3SE +/- 140100.66, N = 3SE +/- 127032.63, N = 3SE +/- 136771.99, N = 3SE +/- 241698.18, N = 3SE +/- 325858.19, N = 31965307935726813162385191814593020871771278084413812431138915395524073672458435145601255567423501. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X10M20M30M40M50MMin: 19609400 / Avg: 19653079 / Max: 19679208Min: 35626785 / Avg: 35726813 / Max: 35852393Min: 16165768 / Avg: 16238518.67 / Max: 16383994Min: 18001663 / Avg: 18145930.33 / Max: 18227783Min: 20728584 / Avg: 20871771.33 / Max: 20961442Min: 27506325 / Avg: 27808441 / Max: 28016020Min: 37992306 / Avg: 38124311.33 / Max: 38228503Min: 38724178 / Avg: 38915395.33 / Max: 39188378Min: 52267350 / Avg: 52407367.33 / Max: 52660974Min: 24437612 / Avg: 24584351.33 / Max: 24857647Min: 45331522 / Avg: 45601255 / Max: 46083522Min: 56156385 / Avg: 56742350 / Max: 572823841. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01019, N = 3SE +/- 0.01927, N = 3SE +/- 0.01746, N = 3SE +/- 0.01059, N = 3SE +/- 0.04407, N = 15SE +/- 0.06254, N = 15SE +/- 0.04241, N = 7SE +/- 0.01604, N = 3SE +/- 0.03194, N = 3SE +/- 0.02155, N = 3SE +/- 0.01689, N = 3SE +/- 0.00620, N = 34.336473.2856210.444809.610055.736876.236463.800314.813804.039264.223373.003383.20910MIN: 4.21MIN: 3.02MIN: 10.22MIN: 9.21MIN: 5.47MIN: 5.63MIN: 3.45MIN: 4.58MIN: 3.77MIN: 4.01MIN: 2.77MIN: 3.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 4.32 / Avg: 4.34 / Max: 4.36Min: 3.25 / Avg: 3.29 / Max: 3.31Min: 10.42 / Avg: 10.44 / Max: 10.48Min: 9.59 / Avg: 9.61 / Max: 9.63Min: 5.59 / Avg: 5.74 / Max: 6.29Min: 5.78 / Avg: 6.24 / Max: 6.57Min: 3.69 / Avg: 3.8 / Max: 4.01Min: 4.78 / Avg: 4.81 / Max: 4.84Min: 3.98 / Avg: 4.04 / Max: 4.09Min: 4.2 / Avg: 4.22 / Max: 4.27Min: 2.98 / Avg: 3 / Max: 3.03Min: 3.2 / Avg: 3.21 / Max: 3.221. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 3SE +/- 0.000, N = 3SE +/- 0.009, N = 3SE +/- 0.020, N = 32.7074.3201.7521.9162.4653.3474.4114.4935.3202.9615.3156.0631. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 2.69 / Avg: 2.71 / Max: 2.71Min: 4.31 / Avg: 4.32 / Max: 4.33Min: 1.75 / Avg: 1.75 / Max: 1.75Min: 1.91 / Avg: 1.92 / Max: 1.92Min: 2.46 / Avg: 2.47 / Max: 2.47Min: 3.33 / Avg: 3.35 / Max: 3.37Min: 4.41 / Avg: 4.41 / Max: 4.42Min: 4.48 / Avg: 4.49 / Max: 4.51Min: 5.3 / Avg: 5.32 / Max: 5.34Min: 2.96 / Avg: 2.96 / Max: 2.96Min: 5.3 / Avg: 5.32 / Max: 5.33Min: 6.04 / Avg: 6.06 / Max: 6.11. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Smallpt

Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.057, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.017, N = 3SE +/- 0.019, N = 3SE +/- 0.022, N = 314.2047.90517.03115.45913.5179.8477.0926.9445.20011.6066.1604.9371. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 14.13 / Avg: 14.2 / Max: 14.32Min: 7.88 / Avg: 7.91 / Max: 7.93Min: 17.02 / Avg: 17.03 / Max: 17.05Min: 15.45 / Avg: 15.46 / Max: 15.47Min: 13.51 / Avg: 13.52 / Max: 13.52Min: 9.84 / Avg: 9.85 / Max: 9.85Min: 7.08 / Avg: 7.09 / Max: 7.1Min: 6.93 / Avg: 6.94 / Max: 6.96Min: 5.2 / Avg: 5.2 / Max: 5.21Min: 11.57 / Avg: 11.61 / Max: 11.63Min: 6.12 / Avg: 6.16 / Max: 6.19Min: 4.91 / Avg: 4.94 / Max: 4.981. (CXX) g++ options: -fopenmp -O3

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.00733, N = 3SE +/- 0.01244, N = 3SE +/- 0.04612, N = 3SE +/- 0.03970, N = 3SE +/- 0.02071, N = 3SE +/- 0.02615, N = 3SE +/- 0.01161, N = 3SE +/- 0.01628, N = 3SE +/- 0.00557, N = 3SE +/- 0.01067, N = 3SE +/- 0.01483, N = 3SE +/- 0.00440, N = 312.232207.0072816.8367015.2225013.511409.879307.421957.249605.6144010.250305.956644.96614-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 12.22 / Avg: 12.23 / Max: 12.25Min: 6.99 / Avg: 7.01 / Max: 7.03Min: 16.75 / Avg: 16.84 / Max: 16.9Min: 15.14 / Avg: 15.22 / Max: 15.27Min: 13.47 / Avg: 13.51 / Max: 13.55Min: 9.84 / Avg: 9.88 / Max: 9.93Min: 7.4 / Avg: 7.42 / Max: 7.44Min: 7.22 / Avg: 7.25 / Max: 7.28Min: 5.61 / Avg: 5.61 / Max: 5.63Min: 10.23 / Avg: 10.25 / Max: 10.27Min: 5.93 / Avg: 5.96 / Max: 5.98Min: 4.96 / Avg: 4.97 / Max: 4.971. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.0117, N = 3SE +/- 0.1053, N = 3SE +/- 0.0269, N = 3SE +/- 0.0569, N = 3SE +/- 0.0493, N = 3SE +/- 0.0407, N = 3SE +/- 0.1165, N = 3SE +/- 0.0456, N = 3SE +/- 0.1585, N = 3SE +/- 0.0495, N = 3SE +/- 0.0945, N = 3SE +/- 0.1295, N = 310.072917.63077.39937.99659.630312.521016.843016.990021.869211.923120.378925.0722MIN: 10.02 / MAX: 10.19MIN: 17.35 / MAX: 18.02MIN: 7.33 / MAX: 7.55MIN: 7.89 / MAX: 8.21MIN: 9.54 / MAX: 9.84MIN: 12.41 / MAX: 12.79MIN: 16.53 / MAX: 17.33MIN: 16.82 / MAX: 17.33MIN: 21.44 / MAX: 22.58MIN: 11.25 / MAX: 12.08MIN: 20.06 / MAX: 20.8MIN: 24.83 / MAX: 25.95
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 10.05 / Avg: 10.07 / Max: 10.09Min: 17.42 / Avg: 17.63 / Max: 17.77Min: 7.36 / Avg: 7.4 / Max: 7.45Min: 7.92 / Avg: 8 / Max: 8.11Min: 9.57 / Avg: 9.63 / Max: 9.73Min: 12.47 / Avg: 12.52 / Max: 12.6Min: 16.63 / Avg: 16.84 / Max: 17.02Min: 16.92 / Avg: 16.99 / Max: 17.08Min: 21.58 / Avg: 21.87 / Max: 22.13Min: 11.82 / Avg: 11.92 / Max: 11.98Min: 20.22 / Avg: 20.38 / Max: 20.54Min: 24.92 / Avg: 25.07 / Max: 25.33

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X160320480640800SE +/- 1.21, N = 3SE +/- 0.66, N = 3SE +/- 0.96, N = 3SE +/- 1.30, N = 3SE +/- 0.62, N = 3SE +/- 0.22, N = 3SE +/- 0.42, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.50, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 3631.26352.16765.16695.98596.32433.37317.03303.72230.94525.71277.96226.15
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X130260390520650Min: 629.41 / Avg: 631.26 / Max: 633.53Min: 351.1 / Avg: 352.16 / Max: 353.36Min: 763.94 / Avg: 765.16 / Max: 767.06Min: 693.59 / Avg: 695.98 / Max: 698.07Min: 595.18 / Avg: 596.32 / Max: 597.31Min: 433.06 / Avg: 433.37 / Max: 433.79Min: 316.2 / Avg: 317.03 / Max: 317.56Min: 303.44 / Avg: 303.72 / Max: 304.19Min: 230.68 / Avg: 230.94 / Max: 231.16Min: 525.15 / Avg: 525.71 / Max: 526.71Min: 277.47 / Avg: 277.96 / Max: 278.54Min: 225.93 / Avg: 226.15 / Max: 226.33

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.85731.71462.57193.42924.2865SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.402.461.141.261.421.932.642.733.641.673.133.81MIN: 1.37 / MAX: 1.45MIN: 2.39 / MAX: 2.52MIN: 1.11 / MAX: 1.2MIN: 1.22 / MAX: 1.32MIN: 1.38 / MAX: 1.47MIN: 1.89 / MAX: 1.98MIN: 2.59 / MAX: 2.68MIN: 2.68 / MAX: 2.76MIN: 3.55 / MAX: 3.67MIN: 1.62 / MAX: 1.73MIN: 3.07 / MAX: 3.18MIN: 3.73 / MAX: 3.9
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 1.39 / Avg: 1.4 / Max: 1.42Min: 2.43 / Avg: 2.46 / Max: 2.49Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 1.25 / Avg: 1.26 / Max: 1.26Min: 1.41 / Avg: 1.42 / Max: 1.43Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 2.63 / Avg: 2.64 / Max: 2.66Min: 2.72 / Avg: 2.73 / Max: 2.73Min: 3.61 / Avg: 3.64 / Max: 3.65Min: 1.66 / Avg: 1.67 / Max: 1.67Min: 3.12 / Avg: 3.13 / Max: 3.14Min: 3.79 / Avg: 3.81 / Max: 3.82

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X70140210280350SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.37, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3306.90170.21337.70306.32274.19199.87145.09140.27105.63231.33121.94101.251. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300Min: 306.79 / Avg: 306.9 / Max: 307.1Min: 170.01 / Avg: 170.21 / Max: 170.38Min: 337.25 / Avg: 337.7 / Max: 337.93Min: 306.27 / Avg: 306.32 / Max: 306.35Min: 274.12 / Avg: 274.19 / Max: 274.28Min: 199.76 / Avg: 199.87 / Max: 199.95Min: 144.99 / Avg: 145.09 / Max: 145.15Min: 140.07 / Avg: 140.27 / Max: 140.45Min: 105.51 / Avg: 105.63 / Max: 105.74Min: 230.86 / Avg: 231.33 / Max: 232.06Min: 121.83 / Avg: 121.94 / Max: 122Min: 100.97 / Avg: 101.25 / Max: 101.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 320.8535.2514.7416.1722.8430.1336.0836.8745.9226.2241.7048.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050Min: 20.8 / Avg: 20.85 / Max: 20.88Min: 35.17 / Avg: 35.25 / Max: 35.3Min: 14.72 / Avg: 14.74 / Max: 14.77Min: 16.15 / Avg: 16.17 / Max: 16.21Min: 22.82 / Avg: 22.84 / Max: 22.87Min: 30 / Avg: 30.13 / Max: 30.2Min: 35.97 / Avg: 36.08 / Max: 36.28Min: 36.75 / Avg: 36.87 / Max: 37.02Min: 45.62 / Avg: 45.92 / Max: 46.18Min: 26.16 / Avg: 26.22 / Max: 26.26Min: 41.63 / Avg: 41.7 / Max: 41.77Min: 48.77 / Avg: 48.99 / Max: 49.151. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 380.0846.5493.8684.7373.8354.9741.2740.6731.6560.7333.8028.261. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 80.06 / Avg: 80.08 / Max: 80.1Min: 46.53 / Avg: 46.54 / Max: 46.55Min: 93.83 / Avg: 93.86 / Max: 93.91Min: 84.68 / Avg: 84.73 / Max: 84.79Min: 73.77 / Avg: 73.83 / Max: 73.88Min: 54.87 / Avg: 54.97 / Max: 55.03Min: 41.14 / Avg: 41.27 / Max: 41.44Min: 40.66 / Avg: 40.67 / Max: 40.67Min: 31.58 / Avg: 31.65 / Max: 31.76Min: 60.69 / Avg: 60.73 / Max: 60.76Min: 33.77 / Avg: 33.8 / Max: 33.83Min: 28.18 / Avg: 28.26 / Max: 28.321. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1428425670SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 347.8329.0462.7457.5543.9033.9325.7725.0620.7838.5722.0219.02
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1224364860Min: 47.76 / Avg: 47.83 / Max: 47.9Min: 28.97 / Avg: 29.04 / Max: 29.08Min: 62.7 / Avg: 62.74 / Max: 62.81Min: 57.51 / Avg: 57.55 / Max: 57.58Min: 43.87 / Avg: 43.9 / Max: 43.94Min: 33.81 / Avg: 33.93 / Max: 34.03Min: 25.69 / Avg: 25.77 / Max: 25.84Min: 25.04 / Avg: 25.06 / Max: 25.09Min: 20.72 / Avg: 20.78 / Max: 20.85Min: 38.53 / Avg: 38.57 / Max: 38.64Min: 22.02 / Avg: 22.02 / Max: 22.03Min: 19 / Avg: 19.02 / Max: 19.05

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 338.0121.3142.1738.3934.3725.1318.3917.8113.5528.8915.4112.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645Min: 37.99 / Avg: 38.01 / Max: 38.02Min: 21.31 / Avg: 21.31 / Max: 21.32Min: 42.15 / Avg: 42.17 / Max: 42.2Min: 38.32 / Avg: 38.39 / Max: 38.43Min: 34.33 / Avg: 34.37 / Max: 34.4Min: 25.1 / Avg: 25.13 / Max: 25.16Min: 18.36 / Avg: 18.39 / Max: 18.42Min: 17.79 / Avg: 17.81 / Max: 17.82Min: 13.54 / Avg: 13.55 / Max: 13.55Min: 28.84 / Avg: 28.89 / Max: 28.92Min: 15.36 / Avg: 15.41 / Max: 15.44Min: 12.82 / Avg: 12.85 / Max: 12.871. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01150, N = 3SE +/- 0.01251, N = 3SE +/- 0.03130, N = 3SE +/- 0.03677, N = 3SE +/- 0.02845, N = 3SE +/- 0.01889, N = 3SE +/- 0.00415, N = 3SE +/- 0.08565, N = 14SE +/- 0.00924, N = 3SE +/- 0.00390, N = 3SE +/- 0.01327, N = 3SE +/- 0.00273, N = 38.899845.1460312.4271011.2984010.437807.583435.809235.793384.384737.464494.683103.78827-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 8.88 / Avg: 8.9 / Max: 8.92Min: 5.13 / Avg: 5.15 / Max: 5.17Min: 12.39 / Avg: 12.43 / Max: 12.49Min: 11.25 / Avg: 11.3 / Max: 11.37Min: 10.39 / Avg: 10.44 / Max: 10.49Min: 7.55 / Avg: 7.58 / Max: 7.61Min: 5.8 / Avg: 5.81 / Max: 5.82Min: 5.69 / Avg: 5.79 / Max: 6.91Min: 4.38 / Avg: 4.38 / Max: 4.4Min: 7.46 / Avg: 7.46 / Max: 7.47Min: 4.67 / Avg: 4.68 / Max: 4.71Min: 3.78 / Avg: 3.79 / Max: 3.791. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 311.4719.578.118.9012.7516.9520.6421.1625.1714.6323.7426.591. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 11.46 / Avg: 11.47 / Max: 11.47Min: 19.43 / Avg: 19.57 / Max: 19.71Min: 8.11 / Avg: 8.11 / Max: 8.12Min: 8.9 / Avg: 8.9 / Max: 8.91Min: 12.74 / Avg: 12.75 / Max: 12.76Min: 16.92 / Avg: 16.95 / Max: 16.99Min: 20.6 / Avg: 20.64 / Max: 20.68Min: 21.12 / Avg: 21.16 / Max: 21.19Min: 25.14 / Avg: 25.17 / Max: 25.21Min: 14.62 / Avg: 14.63 / Max: 14.64Min: 23.7 / Avg: 23.74 / Max: 23.76Min: 26.56 / Avg: 26.59 / Max: 26.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.80781.61562.42343.23124.039SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.262.211.101.221.331.802.402.503.291.612.933.59MIN: 1.22 / MAX: 1.28MIN: 2.12 / MAX: 2.33MIN: 1.06 / MAX: 1.11MIN: 1.17 / MAX: 1.23MIN: 1.26 / MAX: 1.37MIN: 1.72 / MAX: 1.86MIN: 2.29 / MAX: 2.49MIN: 2.39 / MAX: 2.58MIN: 3.15 / MAX: 3.44MIN: 1.53 / MAX: 1.65MIN: 2.79 / MAX: 3.06MIN: 3.43 / MAX: 3.83
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 1.26 / Avg: 1.26 / Max: 1.26Min: 2.18 / Avg: 2.21 / Max: 2.26Min: 1.09 / Avg: 1.1 / Max: 1.1Min: 1.21 / Avg: 1.22 / Max: 1.22Min: 1.31 / Avg: 1.33 / Max: 1.35Min: 1.78 / Avg: 1.8 / Max: 1.82Min: 2.38 / Avg: 2.4 / Max: 2.41Min: 2.48 / Avg: 2.5 / Max: 2.51Min: 3.27 / Avg: 3.29 / Max: 3.32Min: 1.61 / Avg: 1.61 / Max: 1.61Min: 2.91 / Avg: 2.93 / Max: 2.94Min: 3.56 / Avg: 3.59 / Max: 3.63

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 316.1228.3911.8113.0217.8925.5427.3427.6636.2620.4730.5638.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240Min: 16.09 / Avg: 16.12 / Max: 16.15Min: 28.31 / Avg: 28.39 / Max: 28.47Min: 11.8 / Avg: 11.81 / Max: 11.82Min: 13.01 / Avg: 13.02 / Max: 13.02Min: 17.87 / Avg: 17.89 / Max: 17.9Min: 25.4 / Avg: 25.54 / Max: 25.62Min: 27.29 / Avg: 27.34 / Max: 27.38Min: 27.59 / Avg: 27.66 / Max: 27.71Min: 36.21 / Avg: 36.26 / Max: 36.3Min: 20.39 / Avg: 20.47 / Max: 20.53Min: 30.35 / Avg: 30.56 / Max: 30.72Min: 38.39 / Avg: 38.43 / Max: 38.481. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 0.24, N = 3SE +/- 0.13, N = 3SE +/- 0.71, N = 3SE +/- 0.48, N = 3SE +/- 0.67, N = 3SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3203.69114.70254.58230.28205.38150.76111.61106.8081.77178.1795.0278.28
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250Min: 203.29 / Avg: 203.69 / Max: 204.12Min: 114.46 / Avg: 114.7 / Max: 114.88Min: 253.21 / Avg: 254.58 / Max: 255.59Min: 229.43 / Avg: 230.28 / Max: 231.08Min: 204.34 / Avg: 205.38 / Max: 206.62Min: 150.46 / Avg: 150.76 / Max: 151.08Min: 111.03 / Avg: 111.61 / Max: 112.12Min: 106.22 / Avg: 106.8 / Max: 107.44Min: 81.43 / Avg: 81.77 / Max: 82.33Min: 177.96 / Avg: 178.17 / Max: 178.46Min: 94.85 / Avg: 95.02 / Max: 95.23Min: 78.08 / Avg: 78.28 / Max: 78.4

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X800K1600K2400K3200K4000KSE +/- 2574.96, N = 3SE +/- 151.69, N = 3SE +/- 5186.93, N = 3SE +/- 453.22, N = 3SE +/- 752.71, N = 3SE +/- 651.16, N = 3SE +/- 594.04, N = 3SE +/- 568.71, N = 3SE +/- 289.04, N = 3SE +/- 979.40, N = 3SE +/- 569.48, N = 3SE +/- 427.88, N = 3393806321395933834677344683733566932351497179501317610101288407294600015980131212237
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X700K1400K2100K2800K3500KMin: 3933380 / Avg: 3938063.33 / Max: 3942260Min: 2139290 / Avg: 2139593.33 / Max: 2139750Min: 3824600 / Avg: 3834676.67 / Max: 3841850Min: 3445970 / Avg: 3446836.67 / Max: 3447500Min: 3355240 / Avg: 3356693.33 / Max: 3357760Min: 2350200 / Avg: 2351496.67 / Max: 2352250Min: 1794040 / Avg: 1795013.33 / Max: 1796090Min: 1759900 / Avg: 1761010 / Max: 1761780Min: 1287850 / Avg: 1288406.67 / Max: 1288820Min: 2944130 / Avg: 2946000 / Max: 2947440Min: 1596940 / Avg: 1598013.33 / Max: 1598880Min: 1211520 / Avg: 1212236.67 / Max: 1213000

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 316.6729.3612.1313.3918.3626.2028.1328.5637.1620.9831.4739.371. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240Min: 16.63 / Avg: 16.67 / Max: 16.74Min: 29.32 / Avg: 29.36 / Max: 29.41Min: 12.1 / Avg: 12.13 / Max: 12.16Min: 13.37 / Avg: 13.39 / Max: 13.41Min: 18.34 / Avg: 18.36 / Max: 18.37Min: 26.16 / Avg: 26.2 / Max: 26.25Min: 28.11 / Avg: 28.13 / Max: 28.15Min: 28.45 / Avg: 28.56 / Max: 28.67Min: 37.14 / Avg: 37.16 / Max: 37.17Min: 20.87 / Avg: 20.98 / Max: 21.08Min: 31.44 / Avg: 31.47 / Max: 31.49Min: 39.31 / Avg: 39.37 / Max: 39.491. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.018, N = 3SE +/- 0.035, N = 3SE +/- 0.032, N = 15SE +/- 0.039, N = 3SE +/- 0.012, N = 3SE +/- 0.073, N = 3SE +/- 0.087, N = 3SE +/- 0.144, N = 3SE +/- 0.251, N = 15SE +/- 0.083, N = 3SE +/- 0.117, N = 3SE +/- 0.065, N = 35.2938.7014.0354.5765.2666.8809.2629.48711.5416.05210.71913.0911. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 5.27 / Avg: 5.29 / Max: 5.33Min: 8.65 / Avg: 8.7 / Max: 8.77Min: 3.8 / Avg: 4.03 / Max: 4.18Min: 4.51 / Avg: 4.58 / Max: 4.64Min: 5.25 / Avg: 5.27 / Max: 5.29Min: 6.74 / Avg: 6.88 / Max: 6.98Min: 9.17 / Avg: 9.26 / Max: 9.44Min: 9.21 / Avg: 9.49 / Max: 9.68Min: 9.22 / Avg: 11.54 / Max: 12.35Min: 5.9 / Avg: 6.05 / Max: 6.18Min: 10.49 / Avg: 10.72 / Max: 10.88Min: 13 / Avg: 13.09 / Max: 13.211. (CXX) g++ options: -O3 -pthread -lm

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X40K80K120K160K200KSE +/- 52.68, N = 3SE +/- 153.73, N = 3SE +/- 394.42, N = 3SE +/- 12.10, N = 3SE +/- 32.84, N = 3SE +/- 54.42, N = 3SE +/- 43.17, N = 3SE +/- 28.10, N = 3SE +/- 58.97, N = 3SE +/- 28.62, N = 3SE +/- 47.41, N = 3SE +/- 43.98, N = 3202481.0114230.0195793.0175332.0171301.0120735.093903.692214.266530.3150133.083458.762588.7
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X40K80K120K160K200KMin: 202380 / Avg: 202481.33 / Max: 202557Min: 113971 / Avg: 114230 / Max: 114503Min: 195013 / Avg: 195793 / Max: 196285Min: 175309 / Avg: 175332 / Max: 175350Min: 171248 / Avg: 171300.67 / Max: 171361Min: 120645 / Avg: 120735 / Max: 120833Min: 93850.4 / Avg: 93903.6 / Max: 93989.1Min: 92161 / Avg: 92214.17 / Max: 92256.5Min: 66456.7 / Avg: 66530.3 / Max: 66646.9Min: 150088 / Avg: 150132.67 / Max: 150186Min: 83371.6 / Avg: 83458.73 / Max: 83534.7Min: 62505.8 / Avg: 62588.7 / Max: 62655.6

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X900K1800K2700K3600K4500KSE +/- 2267.19, N = 3SE +/- 212.21, N = 3SE +/- 5758.27, N = 3SE +/- 1831.95, N = 3SE +/- 2496.69, N = 3SE +/- 1145.44, N = 3SE +/- 793.87, N = 3SE +/- 699.74, N = 3SE +/- 902.45, N = 3SE +/- 515.65, N = 3SE +/- 185.20, N = 3SE +/- 792.49, N = 3435082323729304238377381864037131072600840199907019619401432403326758017803801346957
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X800K1600K2400K3200K4000KMin: 4347380 / Avg: 4350823.33 / Max: 4355100Min: 2372520 / Avg: 2372930 / Max: 2373230Min: 4231280 / Avg: 4238376.67 / Max: 4249780Min: 3815550 / Avg: 3818640 / Max: 3821890Min: 3710590 / Avg: 3713106.67 / Max: 3718100Min: 2598690 / Avg: 2600840 / Max: 2602600Min: 1997890 / Avg: 1999070 / Max: 2000580Min: 1960770 / Avg: 1961940 / Max: 1963190Min: 1430940 / Avg: 1432403.33 / Max: 1434050Min: 3267020 / Avg: 3267580 / Max: 3268610Min: 1780180 / Avg: 1780380 / Max: 1780750Min: 1345410 / Avg: 1346956.67 / Max: 1348030

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.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.77671.55342.33013.10683.8835SE +/- 0.00373, N = 3SE +/- 0.00955, N = 3SE +/- 0.00108, N = 3SE +/- 0.00019, N = 3SE +/- 0.00119, N = 3SE +/- 0.00102, N = 3SE +/- 0.00121, N = 3SE +/- 0.00173, N = 3SE +/- 0.00338, N = 3SE +/- 0.00099, N = 3SE +/- 0.00218, N = 3SE +/- 0.00545, N = 32.085591.236073.452093.161042.869952.117111.544881.495261.149972.379351.274081.07098
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 2.08 / Avg: 2.09 / Max: 2.09Min: 1.22 / Avg: 1.24 / Max: 1.25Min: 3.45 / Avg: 3.45 / Max: 3.45Min: 3.16 / Avg: 3.16 / Max: 3.16Min: 2.87 / Avg: 2.87 / Max: 2.87Min: 2.12 / Avg: 2.12 / Max: 2.12Min: 1.54 / Avg: 1.54 / Max: 1.55Min: 1.49 / Avg: 1.5 / Max: 1.5Min: 1.14 / Avg: 1.15 / Max: 1.15Min: 2.38 / Avg: 2.38 / Max: 2.38Min: 1.27 / Avg: 1.27 / Max: 1.28Min: 1.07 / Avg: 1.07 / Max: 1.08

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1632486480SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 359.3433.7374.1567.3358.7342.7731.5330.5823.5150.2227.4223.011. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1428425670Min: 59.18 / Avg: 59.34 / Max: 59.58Min: 33.24 / Avg: 33.73 / Max: 34.04Min: 74.01 / Avg: 74.15 / Max: 74.32Min: 67.24 / Avg: 67.33 / Max: 67.41Min: 58.68 / Avg: 58.73 / Max: 58.79Min: 42.75 / Avg: 42.77 / Max: 42.78Min: 31.5 / Avg: 31.53 / Max: 31.59Min: 30.51 / Avg: 30.58 / Max: 30.69Min: 23.43 / Avg: 23.51 / Max: 23.57Min: 50.09 / Avg: 50.22 / Max: 50.37Min: 27.18 / Avg: 27.42 / Max: 27.59Min: 22.94 / Avg: 23.01 / Max: 23.11. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.18, N = 4SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 312.5618.818.309.1011.7012.4819.3719.6523.0914.4723.5426.501. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 12.04 / Avg: 12.56 / Max: 12.83Min: 18.62 / Avg: 18.81 / Max: 18.93Min: 8.25 / Avg: 8.3 / Max: 8.34Min: 8.97 / Avg: 9.1 / Max: 9.36Min: 11.54 / Avg: 11.7 / Max: 11.84Min: 12.36 / Avg: 12.48 / Max: 12.65Min: 19.33 / Avg: 19.37 / Max: 19.39Min: 19.48 / Avg: 19.65 / Max: 19.98Min: 23 / Avg: 23.09 / Max: 23.17Min: 14.25 / Avg: 14.47 / Max: 14.6Min: 23.22 / Avg: 23.54 / Max: 23.72Min: 26.42 / Avg: 26.5 / Max: 26.611. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 2.13, N = 3SE +/- 0.50, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 364.9457.17145.40132.8871.4664.0251.4256.2347.4768.3748.4145.74MIN: 63.43MIN: 56.54MIN: 139.35MIN: 128.55MIN: 70MIN: 62.9MIN: 50.48MIN: 55.46MIN: 46.54MIN: 67.42MIN: 47.56MIN: 44.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 64.8 / Avg: 64.94 / Max: 65.04Min: 57.01 / Avg: 57.17 / Max: 57.26Min: 141.4 / Avg: 145.4 / Max: 148.65Min: 131.9 / Avg: 132.88 / Max: 133.57Min: 71.33 / Avg: 71.46 / Max: 71.63Min: 63.95 / Avg: 64.02 / Max: 64.07Min: 51.26 / Avg: 51.42 / Max: 51.56Min: 56.16 / Avg: 56.23 / Max: 56.29Min: 47.42 / Avg: 47.47 / Max: 47.56Min: 68.26 / Avg: 68.37 / Max: 68.53Min: 48.07 / Avg: 48.41 / Max: 48.63Min: 45.56 / Avg: 45.74 / Max: 46.031. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 394.6052.1395.4686.8282.4460.0242.8942.0331.3371.9037.7830.221. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 94.54 / Avg: 94.6 / Max: 94.65Min: 52.1 / Avg: 52.13 / Max: 52.16Min: 95.22 / Avg: 95.46 / Max: 95.74Min: 86.74 / Avg: 86.82 / Max: 86.94Min: 82.4 / Avg: 82.44 / Max: 82.5Min: 60 / Avg: 60.02 / Max: 60.05Min: 42.8 / Avg: 42.89 / Max: 42.94Min: 41.93 / Avg: 42.03 / Max: 42.11Min: 31.19 / Avg: 31.33 / Max: 31.45Min: 71.87 / Avg: 71.9 / Max: 71.94Min: 37.64 / Avg: 37.78 / Max: 37.91Min: 30.07 / Avg: 30.22 / Max: 30.361. (CC) gcc options: -lm -lpthread -O3

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X400800120016002000SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.45, N = 3SE +/- 1.86, N = 3SE +/- 2.03, N = 3SE +/- 1.73, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 373912646006387601031143214151829915161018931. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X30060090012001500Min: 736 / Avg: 738.67 / Max: 741Min: 1263 / Avg: 1263.67 / Max: 1265Min: 600 / Avg: 600.33 / Max: 601Min: 637 / Avg: 637.67 / Max: 638Min: 758 / Avg: 760.33 / Max: 763Min: 1029 / Avg: 1031.33 / Max: 1035Min: 1428 / Avg: 1431.67 / Max: 1435Min: 1826 / Avg: 1829 / Max: 1832Min: 913 / Avg: 914.67 / Max: 916Min: 1891 / Avg: 1893.33 / Max: 18951. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.71, N = 3SE +/- 0.50, N = 3SE +/- 0.83, N = 3SE +/- 0.64, N = 3SE +/- 0.56, N = 3SE +/- 0.51, N = 3SE +/- 0.50, N = 3SE +/- 0.60, N = 3SE +/- 0.56, N = 3SE +/- 0.56, N = 3SE +/- 0.47, N = 3SE +/- 0.64, N = 3106.4363.95142.56130.23100.4076.6957.9156.7847.3689.8452.2745.42
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 105.7 / Avg: 106.43 / Max: 107.84Min: 63.17 / Avg: 63.95 / Max: 64.89Min: 141.68 / Avg: 142.56 / Max: 144.21Min: 129.57 / Avg: 130.23 / Max: 131.51Min: 99.28 / Avg: 100.4 / Max: 101.05Min: 76.13 / Avg: 76.69 / Max: 77.71Min: 57.37 / Avg: 57.91 / Max: 58.91Min: 55.77 / Avg: 56.78 / Max: 57.83Min: 46.57 / Avg: 47.36 / Max: 48.44Min: 89.25 / Avg: 89.84 / Max: 90.96Min: 51.79 / Avg: 52.27 / Max: 53.2Min: 44.44 / Avg: 45.42 / Max: 46.63

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60K120K180K240K300KSE +/- 9.85, N = 3SE +/- 7.51, N = 3SE +/- 866.41, N = 3SE +/- 41.39, N = 3SE +/- 12.72, N = 3SE +/- 92.04, N = 3SE +/- 17.57, N = 3SE +/- 149.12, N = 3SE +/- 47.83, N = 3SE +/- 81.10, N = 3SE +/- 69.62, N = 3SE +/- 64.29, N = 3296354.0167595.0288755.0258726.0251199.0180202.0138101.0135602.0100527.0220801.0123127.094678.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50K100K150K200K250KMin: 296340 / Avg: 296354 / Max: 296373Min: 167582 / Avg: 167595 / Max: 167608Min: 287210 / Avg: 288755 / Max: 290207Min: 258667 / Avg: 258726.33 / Max: 258806Min: 251184 / Avg: 251198.67 / Max: 251224Min: 180023 / Avg: 180202.33 / Max: 180328Min: 138066 / Avg: 138100.67 / Max: 138123Min: 135351 / Avg: 135602 / Max: 135867Min: 100479 / Avg: 100527.33 / Max: 100623Min: 220643 / Avg: 220801.33 / Max: 220911Min: 123030 / Avg: 123127 / Max: 123262Min: 94552.9 / Avg: 94678.17 / Max: 94765.9

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 328.4918.3431.7830.5027.1622.2913.6013.2910.8221.2812.1710.271. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 28.43 / Avg: 28.49 / Max: 28.55Min: 18.31 / Avg: 18.34 / Max: 18.38Min: 31.55 / Avg: 31.78 / Max: 32.14Min: 30.22 / Avg: 30.5 / Max: 30.64Min: 27.13 / Avg: 27.16 / Max: 27.21Min: 22.02 / Avg: 22.29 / Max: 22.47Min: 13.57 / Avg: 13.6 / Max: 13.64Min: 13.26 / Avg: 13.29 / Max: 13.33Min: 10.81 / Avg: 10.82 / Max: 10.83Min: 21.13 / Avg: 21.28 / Max: 21.42Min: 12.13 / Avg: 12.17 / Max: 12.23Min: 10.15 / Avg: 10.27 / Max: 10.351. (CXX) g++ options: -O2 -lOpenCL

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 335.6820.0740.5936.9633.1724.3717.9317.3813.5427.2015.6813.14-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240Min: 35.58 / Avg: 35.68 / Max: 35.8Min: 20 / Avg: 20.07 / Max: 20.21Min: 40.49 / Avg: 40.59 / Max: 40.74Min: 36.9 / Avg: 36.96 / Max: 37.02Min: 33.08 / Avg: 33.17 / Max: 33.23Min: 24.37 / Avg: 24.37 / Max: 24.38Min: 17.91 / Avg: 17.93 / Max: 17.95Min: 17.26 / Avg: 17.38 / Max: 17.5Min: 13.53 / Avg: 13.54 / Max: 13.56Min: 27.15 / Avg: 27.2 / Max: 27.24Min: 15.66 / Avg: 15.68 / Max: 15.7Min: 13.13 / Avg: 13.14 / Max: 13.151. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 0.78, N = 3SE +/- 2.33, N = 3SE +/- 3.27, N = 3SE +/- 3.63, N = 3SE +/- 1.66, N = 3SE +/- 0.22, N = 3SE +/- 3.29, N = 3SE +/- 2.72, N = 3SE +/- 4.14, N = 3SE +/- 1.76, N = 3SE +/- 1.43, N = 3SE +/- 4.08, N = 3807.29506.571114.221024.46748.56586.16446.18432.30364.33687.97402.44361.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000Min: 805.73 / Avg: 807.29 / Max: 808.21Min: 502.06 / Avg: 506.57 / Max: 509.8Min: 1110.08 / Avg: 1114.22 / Max: 1120.68Min: 1020.47 / Avg: 1024.46 / Max: 1031.72Min: 745.26 / Avg: 748.56 / Max: 750.47Min: 585.88 / Avg: 586.16 / Max: 586.61Min: 441.82 / Avg: 446.18 / Max: 452.62Min: 428.79 / Avg: 432.3 / Max: 437.66Min: 356.08 / Avg: 364.33 / Max: 369.01Min: 685.21 / Avg: 687.97 / Max: 691.25Min: 400.02 / Avg: 402.44 / Max: 404.97Min: 354.73 / Avg: 361.17 / Max: 368.72

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 2.07, N = 3SE +/- 1.08, N = 15SE +/- 0.82, N = 3SE +/- 2.62, N = 3SE +/- 0.81, N = 3SE +/- 1.55, N = 3SE +/- 0.34, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3152.5693.11209.27193.62150.81113.8086.3083.1977.85121.6970.6167.90
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 148.43 / Avg: 152.56 / Max: 154.93Min: 87.79 / Avg: 93.11 / Max: 98.95Min: 208.05 / Avg: 209.27 / Max: 210.83Min: 189.64 / Avg: 193.62 / Max: 198.56Min: 149.58 / Avg: 150.81 / Max: 152.33Min: 112.21 / Avg: 113.8 / Max: 116.9Min: 85.66 / Avg: 86.3 / Max: 86.84Min: 82.72 / Avg: 83.19 / Max: 83.93Min: 76.89 / Avg: 77.85 / Max: 78.83Min: 121.56 / Avg: 121.69 / Max: 121.86Min: 70.43 / Avg: 70.61 / Max: 70.84Min: 67.54 / Avg: 67.9 / Max: 68.44

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X40K80K120K160K200KSE +/- 26.52, N = 3SE +/- 268.60, N = 3SE +/- 120.14, N = 3SE +/- 77.44, N = 3SE +/- 18.84, N = 3SE +/- 113.90, N = 3SE +/- 68.68, N = 3SE +/- 14.97, N = 3SE +/- 29.88, N = 3SE +/- 45.21, N = 3SE +/- 56.67, N = 3SE +/- 45.89, N = 3205404.0117619.0209204.0188045.0175736.0123482.096280.294517.068497.9164490.091290.467914.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X40K80K120K160K200KMin: 205354 / Avg: 205404.33 / Max: 205444Min: 117083 / Avg: 117619.33 / Max: 117914Min: 208993 / Avg: 209204.33 / Max: 209409Min: 187904 / Avg: 188045 / Max: 188171Min: 175708 / Avg: 175736.33 / Max: 175772Min: 123311 / Avg: 123482.33 / Max: 123698Min: 96153.1 / Avg: 96280.17 / Max: 96388.9Min: 94490.5 / Avg: 94517 / Max: 94542.3Min: 68438.2 / Avg: 68497.87 / Max: 68530.5Min: 164416 / Avg: 164490 / Max: 164572Min: 91212.1 / Avg: 91290.37 / Max: 91400.5Min: 67824.6 / Avg: 67914.53 / Max: 67975.4

Timed FFmpeg Compilation

This test times how long it takes to build FFmpeg. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 370.3444.8791.6883.9765.2751.2440.4839.5233.4756.2234.1629.82
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 70.26 / Avg: 70.34 / Max: 70.46Min: 44.75 / Avg: 44.87 / Max: 44.93Min: 91.54 / Avg: 91.67 / Max: 91.76Min: 83.84 / Avg: 83.97 / Max: 84.1Min: 64.97 / Avg: 65.27 / Max: 65.43Min: 51.17 / Avg: 51.24 / Max: 51.3Min: 40.38 / Avg: 40.48 / Max: 40.59Min: 39.36 / Avg: 39.52 / Max: 39.71Min: 33.28 / Avg: 33.47 / Max: 33.67Min: 56.16 / Avg: 56.22 / Max: 56.33Min: 34.1 / Avg: 34.16 / Max: 34.24Min: 29.65 / Avg: 29.82 / Max: 29.92

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X130260390520650511.74299.91590.16539.89470.18349.40267.07259.33208.36397.24224.29192.18

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 341.4025.1848.5643.9338.6729.3222.8822.6318.3031.6718.7215.961. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050Min: 41.39 / Avg: 41.4 / Max: 41.41Min: 25.17 / Avg: 25.18 / Max: 25.18Min: 48.5 / Avg: 48.56 / Max: 48.61Min: 43.89 / Avg: 43.93 / Max: 43.96Min: 38.62 / Avg: 38.67 / Max: 38.7Min: 29.23 / Avg: 29.32 / Max: 29.4Min: 22.86 / Avg: 22.88 / Max: 22.92Min: 22.55 / Avg: 22.63 / Max: 22.72Min: 18.22 / Avg: 18.3 / Max: 18.43Min: 31.63 / Avg: 31.67 / Max: 31.69Min: 18.66 / Avg: 18.72 / Max: 18.75Min: 15.9 / Avg: 15.96 / Max: 16.011. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20K40K60K80K100KSE +/- 325.15, N = 3SE +/- 35.83, N = 3SE +/- 39.73, N = 3SE +/- 179.41, N = 3SE +/- 44.51, N = 3SE +/- 139.97, N = 3SE +/- 286.83, N = 3SE +/- 28.54, N = 3SE +/- 191.60, N = 3SE +/- 206.95, N = 3SE +/- 80.31, N = 3SE +/- 79.67, N = 34189764772314293352643855563707690977550900715413289437947791. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X16K32K48K64K80KMin: 41501 / Avg: 41897.33 / Max: 42542Min: 64730 / Avg: 64771.67 / Max: 64843Min: 31364 / Avg: 31428.67 / Max: 31501Min: 33198 / Avg: 33526 / Max: 33816Min: 43773 / Avg: 43855 / Max: 43926Min: 56100 / Avg: 56370 / Max: 56569Min: 76339 / Avg: 76908.67 / Max: 77252Min: 77516 / Avg: 77550.33 / Max: 77607Min: 89770 / Avg: 90071.33 / Max: 90427Min: 53748 / Avg: 54131.67 / Max: 54458Min: 89291 / Avg: 89437 / Max: 89568Min: 94666 / Avg: 94779.33 / Max: 949331. (CXX) g++ options: -pipe -lpthread

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.59, N = 3SE +/- 1.27, N = 3SE +/- 0.57, N = 3SE +/- 0.50, N = 3SE +/- 1.15, N = 3SE +/- 0.83, N = 3SE +/- 1.56, N = 3SE +/- 2.00, N = 4SE +/- 1.78, N = 3SE +/- 1.17, N = 4SE +/- 2.62, N = 3SE +/- 2.09, N = 675.14126.1957.5862.2077.1998.32136.32139.09162.4993.58158.81172.751. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 73.98 / Avg: 75.14 / Max: 75.91Min: 123.68 / Avg: 126.19 / Max: 127.72Min: 56.46 / Avg: 57.58 / Max: 58.32Min: 61.23 / Avg: 62.2 / Max: 62.92Min: 75.09 / Avg: 77.19 / Max: 79.04Min: 96.71 / Avg: 98.32 / Max: 99.47Min: 133.22 / Avg: 136.32 / Max: 138.16Min: 133.14 / Avg: 139.09 / Max: 141.7Min: 158.99 / Avg: 162.49 / Max: 164.77Min: 90.46 / Avg: 93.58 / Max: 95.44Min: 153.9 / Avg: 158.81 / Max: 162.83Min: 162.7 / Avg: 172.75 / Max: 176.871. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.53, N = 3SE +/- 0.55, N = 3SE +/- 0.23, N = 3SE +/- 0.45, N = 3122.76186.0175.5881.38109.32119.86180.89180.29200.83126.80206.64220.351. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 122.52 / Avg: 122.76 / Max: 123Min: 185.76 / Avg: 186.01 / Max: 186.34Min: 75.26 / Avg: 75.58 / Max: 76.04Min: 81.3 / Avg: 81.38 / Max: 81.42Min: 109.15 / Avg: 109.32 / Max: 109.49Min: 119.55 / Avg: 119.86 / Max: 120.22Min: 179.96 / Avg: 180.89 / Max: 181.38Min: 179.8 / Avg: 180.29 / Max: 181.1Min: 199.93 / Avg: 200.83 / Max: 201.75Min: 126.1 / Avg: 126.83 / Max: 127.9Min: 206.26 / Avg: 206.64 / Max: 207.04Min: 219.54 / Avg: 220.35 / Max: 221.081. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X70140210280350305.77178.12342.04317.67291.01214.51161.51156.53119.86258.69142.65117.67

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.40640.81281.21921.62562.032SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.024, N = 3SE +/- 0.027, N = 3SE +/- 0.011, N = 15SE +/- 0.012, N = 6SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.016, N = 3SE +/- 0.006, N = 15SE +/- 0.008, N = 41.2950.7811.8061.5911.3401.0070.8420.8050.6971.0190.6840.627MIN: 1.2 / MAX: 1.71MIN: 0.71 / MAX: 1.21MIN: 1.62 / MAX: 2.45MIN: 1.42 / MAX: 2.11MIN: 1.16 / MAX: 1.86MIN: 0.88 / MAX: 1.38MIN: 0.73 / MAX: 1.13MIN: 0.69 / MAX: 1.14MIN: 0.57 / MAX: 1.33MIN: 0.95 / MAX: 1.37MIN: 0.56 / MAX: 0.94MIN: 0.5 / MAX: 1.04
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 1.29 / Avg: 1.3 / Max: 1.31Min: 0.78 / Avg: 0.78 / Max: 0.79Min: 1.76 / Avg: 1.81 / Max: 1.83Min: 1.56 / Avg: 1.59 / Max: 1.65Min: 1.27 / Avg: 1.34 / Max: 1.4Min: 0.96 / Avg: 1.01 / Max: 1.03Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 0.79 / Avg: 0.8 / Max: 0.81Min: 0.69 / Avg: 0.7 / Max: 0.71Min: 1 / Avg: 1.02 / Max: 1.05Min: 0.65 / Avg: 0.68 / Max: 0.72Min: 0.61 / Avg: 0.63 / Max: 0.65

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.991.982.973.964.952.642.284.404.343.133.123.203.223.031.551.531.54

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.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.335.068.848.055.645.555.405.395.823.104.144.37MIN: 5.16 / MAX: 6.82MIN: 4.97 / MAX: 6.13MIN: 8.31 / MAX: 46.7MIN: 7.71 / MAX: 22.06MIN: 5.52 / MAX: 7.35MIN: 5.45 / MAX: 10.07MIN: 5.25 / MAX: 6.16MIN: 5.23 / MAX: 6.48MIN: 5.69 / MAX: 6.18MIN: 3.03 / MAX: 4.25MIN: 4.08 / MAX: 5.04MIN: 4.29 / MAX: 5.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 5.32 / Avg: 5.33 / Max: 5.34Min: 5.05 / Avg: 5.06 / Max: 5.07Min: 8.52 / Avg: 8.84 / Max: 9.25Min: 7.92 / Avg: 8.05 / Max: 8.19Min: 5.61 / Avg: 5.64 / Max: 5.66Min: 5.54 / Avg: 5.55 / Max: 5.56Min: 5.33 / Avg: 5.4 / Max: 5.47Min: 5.34 / Avg: 5.39 / Max: 5.45Min: 5.8 / Avg: 5.82 / Max: 5.84Min: 3.08 / Avg: 3.1 / Max: 3.12Min: 4.12 / Avg: 4.14 / Max: 4.16Min: 4.36 / Avg: 4.37 / Max: 4.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X70140210280350282.58166.41315.83289.14265.42199.43160.13155.82125.26225.90134.45111.39

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 314.418.310.811.518.921.924.725.127.322.028.330.3
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 14.2 / Avg: 14.37 / Max: 14.5Min: 18.2 / Avg: 18.27 / Max: 18.3Min: 10.7 / Avg: 10.77 / Max: 10.8Min: 11.3 / Avg: 11.5 / Max: 11.7Min: 18.7 / Avg: 18.87 / Max: 19Min: 21.7 / Avg: 21.9 / Max: 22Min: 24.6 / Avg: 24.73 / Max: 25Min: 24.9 / Avg: 25.13 / Max: 25.5Min: 27.1 / Avg: 27.27 / Max: 27.4Min: 21.9 / Avg: 21.97 / Max: 22Min: 28.3 / Avg: 28.33 / Max: 28.4Min: 30.2 / Avg: 30.33 / Max: 30.5

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.42, N = 379.10129.6456.0261.8185.57112.90117.56119.07145.9199.92130.30155.811. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 79.01 / Avg: 79.1 / Max: 79.22Min: 129.42 / Avg: 129.64 / Max: 129.79Min: 55.71 / Avg: 56.02 / Max: 56.24Min: 61.62 / Avg: 61.81 / Max: 61.99Min: 85.34 / Avg: 85.57 / Max: 85.71Min: 112.35 / Avg: 112.9 / Max: 113.74Min: 117.16 / Avg: 117.56 / Max: 117.9Min: 118.75 / Avg: 119.07 / Max: 119.27Min: 145.74 / Avg: 145.91 / Max: 146.13Min: 99.67 / Avg: 99.92 / Max: 100.19Min: 130.08 / Avg: 130.3 / Max: 130.57Min: 155.2 / Avg: 155.81 / Max: 156.611. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 343.8269.9031.3734.6348.1460.1062.5063.2682.2455.5669.6386.941. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1632486480Min: 43.81 / Avg: 43.82 / Max: 43.83Min: 69.84 / Avg: 69.9 / Max: 69.94Min: 31.31 / Avg: 31.37 / Max: 31.45Min: 34.6 / Avg: 34.63 / Max: 34.68Min: 48.03 / Avg: 48.14 / Max: 48.24Min: 59.89 / Avg: 60.1 / Max: 60.45Min: 62.33 / Avg: 62.5 / Max: 62.62Min: 63.1 / Avg: 63.26 / Max: 63.51Min: 82.13 / Avg: 82.24 / Max: 82.36Min: 55.38 / Avg: 55.56 / Max: 55.83Min: 69.11 / Avg: 69.63 / Max: 70.24Min: 86.71 / Avg: 86.94 / Max: 87.121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 36.835.8911.7110.637.367.016.616.627.104.245.195.25MIN: 6.75 / MAX: 8.34MIN: 5.82 / MAX: 7.01MIN: 11.18 / MAX: 12.89MIN: 10.28 / MAX: 12.43MIN: 7.22 / MAX: 8.57MIN: 6.92 / MAX: 8.19MIN: 6.48 / MAX: 7.84MIN: 6.51 / MAX: 7.75MIN: 6.88 / MAX: 8.39MIN: 4.15 / MAX: 5.32MIN: 5.01 / MAX: 5.68MIN: 5.19 / MAX: 9.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.78 / Avg: 6.83 / Max: 6.88Min: 5.86 / Avg: 5.89 / Max: 5.91Min: 11.23 / Avg: 11.71 / Max: 12.42Min: 10.35 / Avg: 10.63 / Max: 10.93Min: 7.29 / Avg: 7.36 / Max: 7.46Min: 6.99 / Avg: 7.01 / Max: 7.03Min: 6.53 / Avg: 6.61 / Max: 6.67Min: 6.58 / Avg: 6.62 / Max: 6.67Min: 6.97 / Avg: 7.1 / Max: 7.31Min: 4.18 / Avg: 4.24 / Max: 4.27Min: 5.05 / Avg: 5.19 / Max: 5.35Min: 5.24 / Avg: 5.25 / Max: 5.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.29030.58060.87091.16121.4515SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 30.8420.9770.4690.5040.7330.8231.1331.1361.2360.8761.2841.2901. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 0.97 / Avg: 0.98 / Max: 0.99Min: 0.47 / Avg: 0.47 / Max: 0.47Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 1.13 / Avg: 1.13 / Max: 1.13Min: 1.13 / Avg: 1.14 / Max: 1.14Min: 1.23 / Avg: 1.24 / Max: 1.24Min: 0.87 / Avg: 0.88 / Max: 0.88Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.28 / Avg: 1.29 / Max: 1.31. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.52, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 15SE +/- 0.09, N = 324.8016.9933.5130.3824.8119.0116.2616.0314.7320.2413.2512.24
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 24.36 / Avg: 24.8 / Max: 25.6Min: 16.72 / Avg: 16.99 / Max: 17.15Min: 33.45 / Avg: 33.51 / Max: 33.56Min: 29.55 / Avg: 30.37 / Max: 31.35Min: 24.57 / Avg: 24.81 / Max: 25.05Min: 18.73 / Avg: 19.01 / Max: 19.32Min: 16.19 / Avg: 16.26 / Max: 16.37Min: 15.57 / Avg: 16.03 / Max: 16.3Min: 14.64 / Avg: 14.73 / Max: 14.78Min: 20 / Avg: 20.23 / Max: 20.68Min: 12.65 / Avg: 13.25 / Max: 14.37Min: 12.06 / Avg: 12.23 / Max: 12.34

Timed ImageMagick Compilation

This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 335.4324.7448.6545.1333.4527.9723.2222.7720.5829.8219.5218.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050Min: 35.13 / Avg: 35.43 / Max: 35.58Min: 24.64 / Avg: 24.74 / Max: 24.89Min: 48.52 / Avg: 48.65 / Max: 48.79Min: 44.87 / Avg: 45.13 / Max: 45.31Min: 33.35 / Avg: 33.45 / Max: 33.5Min: 27.87 / Avg: 27.96 / Max: 28.14Min: 22.88 / Avg: 23.22 / Max: 23.44Min: 22.61 / Avg: 22.77 / Max: 22.94Min: 20.31 / Avg: 20.58 / Max: 20.73Min: 29.75 / Avg: 29.82 / Max: 29.88Min: 19.44 / Avg: 19.52 / Max: 19.62Min: 18 / Avg: 18.17 / Max: 18.29

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1632486480SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.83, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.58, N = 3SE +/- 0.15, N = 8SE +/- 0.16, N = 3SE +/- 0.28, N = 3SE +/- 0.41, N = 3SE +/- 0.17, N = 15SE +/- 0.08, N = 338.4729.4371.5766.4636.0232.4631.5532.4836.9831.6526.8826.80MIN: 38.12 / MAX: 51.85MIN: 29.01 / MAX: 39.64MIN: 69.74 / MAX: 86.54MIN: 66.03 / MAX: 79.02MIN: 35.38 / MAX: 46.54MIN: 31.11 / MAX: 44.49MIN: 30.42 / MAX: 44.63MIN: 31.9 / MAX: 45.8MIN: 35.45 / MAX: 47.52MIN: 30.81 / MAX: 42.27MIN: 25.86 / MAX: 39.31MIN: 26.49 / MAX: 39.31. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1428425670Min: 38.23 / Avg: 38.47 / Max: 38.62Min: 29.3 / Avg: 29.43 / Max: 29.68Min: 69.97 / Avg: 71.57 / Max: 72.72Min: 66.22 / Avg: 66.46 / Max: 66.63Min: 35.55 / Avg: 36.02 / Max: 36.26Min: 31.31 / Avg: 32.46 / Max: 33.17Min: 30.95 / Avg: 31.55 / Max: 32.15Min: 32.22 / Avg: 32.48 / Max: 32.78Min: 36.43 / Avg: 36.98 / Max: 37.33Min: 31.07 / Avg: 31.65 / Max: 32.44Min: 26.16 / Avg: 26.88 / Max: 28Min: 26.64 / Avg: 26.8 / Max: 26.91. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.021, N = 3SE +/- 0.060, N = 3SE +/- 0.027, N = 3SE +/- 0.048, N = 3SE +/- 0.084, N = 3SE +/- 0.080, N = 3SE +/- 0.076, N = 8SE +/- 0.100, N = 3SE +/- 0.082, N = 3SE +/- 0.052, N = 3SE +/- 0.062, N = 15SE +/- 0.059, N = 35.6514.33111.52510.6476.5626.0347.2347.2358.1624.9216.1116.448MIN: 5.51 / MAX: 10.9MIN: 4.15 / MAX: 16.62MIN: 11.38 / MAX: 27.5MIN: 10.44 / MAX: 23.54MIN: 6.33 / MAX: 8.06MIN: 5.82 / MAX: 15.84MIN: 6.68 / MAX: 15.68MIN: 6.96 / MAX: 9.38MIN: 7.83 / MAX: 11.13MIN: 4.74 / MAX: 6.94MIN: 5.64 / MAX: 17.69MIN: 6.19 / MAX: 16.361. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 5.61 / Avg: 5.65 / Max: 5.69Min: 4.24 / Avg: 4.33 / Max: 4.45Min: 11.47 / Avg: 11.53 / Max: 11.56Min: 10.57 / Avg: 10.65 / Max: 10.74Min: 6.4 / Avg: 6.56 / Max: 6.68Min: 5.89 / Avg: 6.03 / Max: 6.17Min: 6.8 / Avg: 7.23 / Max: 7.41Min: 7.04 / Avg: 7.23 / Max: 7.37Min: 8.02 / Avg: 8.16 / Max: 8.31Min: 4.87 / Avg: 4.92 / Max: 5.03Min: 5.7 / Avg: 6.11 / Max: 6.54Min: 6.36 / Avg: 6.45 / Max: 6.561. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.414.007.657.105.084.834.754.755.152.903.994.16MIN: 4.31 / MAX: 5.93MIN: 3.91 / MAX: 4.67MIN: 7.51 / MAX: 10.63MIN: 6.89 / MAX: 24.51MIN: 4.97 / MAX: 6.88MIN: 4.73 / MAX: 5.7MIN: 4.68 / MAX: 5.93MIN: 4.7 / MAX: 5.67MIN: 5.03 / MAX: 5.6MIN: 2.87 / MAX: 4.06MIN: 3.93 / MAX: 4.83MIN: 4.11 / MAX: 5.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 4.39 / Avg: 4.41 / Max: 4.43Min: 3.98 / Avg: 4 / Max: 4.01Min: 7.6 / Avg: 7.65 / Max: 7.69Min: 6.99 / Avg: 7.1 / Max: 7.27Min: 5.06 / Avg: 5.08 / Max: 5.1Min: 4.83 / Avg: 4.83 / Max: 4.83Min: 4.73 / Avg: 4.75 / Max: 4.76Min: 4.74 / Avg: 4.75 / Max: 4.76Min: 5.09 / Avg: 5.15 / Max: 5.21Min: 2.9 / Avg: 2.9 / Max: 2.91Min: 3.98 / Avg: 3.99 / Max: 4Min: 4.14 / Avg: 4.16 / Max: 4.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.134, N = 3SE +/- 0.019, N = 3SE +/- 0.124, N = 3SE +/- 0.150, N = 3SE +/- 0.092, N = 3SE +/- 0.050, N = 3SE +/- 0.090, N = 3SE +/- 0.109, N = 3SE +/- 0.041, N = 3SE +/- 0.038, N = 3SE +/- 0.051, N = 3SE +/- 0.024, N = 314.1298.09917.54815.75313.9829.6258.6138.1877.27612.3087.4956.764
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 13.96 / Avg: 14.13 / Max: 14.39Min: 8.07 / Avg: 8.1 / Max: 8.14Min: 17.39 / Avg: 17.55 / Max: 17.79Min: 15.5 / Avg: 15.75 / Max: 16.02Min: 13.83 / Avg: 13.98 / Max: 14.15Min: 9.55 / Avg: 9.63 / Max: 9.72Min: 8.45 / Avg: 8.61 / Max: 8.77Min: 7.98 / Avg: 8.19 / Max: 8.36Min: 7.23 / Avg: 7.28 / Max: 7.36Min: 12.27 / Avg: 12.31 / Max: 12.39Min: 7.41 / Avg: 7.5 / Max: 7.58Min: 6.72 / Avg: 6.76 / Max: 6.8

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X110220330440550SE +/- 2.26, N = 3SE +/- 1.18, N = 3SE +/- 1.75, N = 3SE +/- 1.16, N = 3SE +/- 6.73, N = 3SE +/- 2.43, N = 3SE +/- 16.54, N = 3SE +/- 6.33, N = 3SE +/- 4.86, N = 3SE +/- 4.76, N = 3SE +/- 1.54, N = 3SE +/- 3.07, N = 3265.78390.00200.98201.06306.45262.48310.86371.29374.19338.34495.79521.051. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X90180270360450Min: 261.33 / Avg: 265.78 / Max: 268.73Min: 387.64 / Avg: 390 / Max: 391.18Min: 198.56 / Avg: 200.98 / Max: 204.39Min: 199.78 / Avg: 201.06 / Max: 203.38Min: 297.33 / Avg: 306.45 / Max: 319.58Min: 258.37 / Avg: 262.48 / Max: 266.78Min: 280.74 / Avg: 310.86 / Max: 337.75Min: 364.22 / Avg: 371.29 / Max: 383.92Min: 367.53 / Avg: 374.19 / Max: 383.66Min: 332.4 / Avg: 338.34 / Max: 347.75Min: 493.45 / Avg: 495.79 / Max: 498.7Min: 514.91 / Avg: 521.05 / Max: 524.421. (CC) gcc options: -lm

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.63, N = 3SE +/- 0.08, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.44, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.39, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 3106.4171.86135.74124.21101.9780.8868.1867.3059.4088.1458.6552.751. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 105.55 / Avg: 106.41 / Max: 107.64Min: 71.69 / Avg: 71.86 / Max: 71.96Min: 135.33 / Avg: 135.74 / Max: 136.41Min: 123.68 / Avg: 124.21 / Max: 124.77Min: 101.92 / Avg: 101.97 / Max: 101.99Min: 80.65 / Avg: 80.88 / Max: 81.18Min: 67.55 / Avg: 68.18 / Max: 69.03Min: 67.05 / Avg: 67.3 / Max: 67.5Min: 59.28 / Avg: 59.4 / Max: 59.49Min: 87.46 / Avg: 88.14 / Max: 88.79Min: 58.55 / Avg: 58.65 / Max: 58.73Min: 52.31 / Avg: 52.75 / Max: 53.241. (CXX) g++ options: -O3 -fPIC

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 329.5019.8440.0836.4930.1524.0321.0320.5618.7325.3117.1915.58
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240Min: 29.44 / Avg: 29.5 / Max: 29.57Min: 19.63 / Avg: 19.84 / Max: 20.06Min: 39.97 / Avg: 40.08 / Max: 40.23Min: 36.42 / Avg: 36.48 / Max: 36.56Min: 30.03 / Avg: 30.15 / Max: 30.22Min: 23.95 / Avg: 24.03 / Max: 24.09Min: 20.83 / Avg: 21.03 / Max: 21.15Min: 20.37 / Avg: 20.56 / Max: 20.9Min: 18.54 / Avg: 18.73 / Max: 19.08Min: 25.16 / Avg: 25.31 / Max: 25.44Min: 17 / Avg: 17.19 / Max: 17.3Min: 15.48 / Avg: 15.58 / Max: 15.69

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.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 318.7916.4131.6829.3818.8317.0816.4916.5017.1212.8512.3612.65MIN: 18.56 / MAX: 29.54MIN: 16.34 / MAX: 17.53MIN: 28.97 / MAX: 33.4MIN: 27.24 / MAX: 87.03MIN: 18.42 / MAX: 19.87MIN: 16.45 / MAX: 18.57MIN: 16.16 / MAX: 16.99MIN: 16.21 / MAX: 16.8MIN: 16.58 / MAX: 50.65MIN: 12.75 / MAX: 14.82MIN: 12.07 / MAX: 31.33MIN: 12.38 / MAX: 13.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 18.72 / Avg: 18.79 / Max: 18.88Min: 16.39 / Avg: 16.41 / Max: 16.43Min: 31.56 / Avg: 31.68 / Max: 31.85Min: 29.19 / Avg: 29.38 / Max: 29.59Min: 18.58 / Avg: 18.83 / Max: 18.95Min: 16.69 / Avg: 17.08 / Max: 17.34Min: 16.3 / Avg: 16.49 / Max: 16.81Min: 16.37 / Avg: 16.5 / Max: 16.62Min: 16.84 / Avg: 17.12 / Max: 17.32Min: 12.82 / Avg: 12.85 / Max: 12.88Min: 12.3 / Avg: 12.36 / Max: 12.39Min: 12.47 / Avg: 12.65 / Max: 12.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.28, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 363.9042.7781.8874.5161.3448.5241.1140.4335.6853.5335.2132.201. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1632486480Min: 63.52 / Avg: 63.9 / Max: 64.44Min: 42.55 / Avg: 42.77 / Max: 43.06Min: 81.76 / Avg: 81.88 / Max: 82.01Min: 74.05 / Avg: 74.51 / Max: 74.88Min: 61.05 / Avg: 61.34 / Max: 61.51Min: 48.29 / Avg: 48.52 / Max: 48.71Min: 40.91 / Avg: 41.11 / Max: 41.25Min: 40.27 / Avg: 40.43 / Max: 40.55Min: 35.61 / Avg: 35.67 / Max: 35.71Min: 53.35 / Avg: 53.53 / Max: 53.69Min: 35.08 / Avg: 35.21 / Max: 35.35Min: 32.02 / Avg: 32.2 / Max: 32.391. (CXX) g++ options: -O3 -fPIC

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 1.83, N = 3SE +/- 2.55, N = 5SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 1.35, N = 3SE +/- 1.38, N = 3SE +/- 3.37, N = 3SE +/- 3.32, N = 3SE +/- 0.25, N = 3SE +/- 2.49, N = 3SE +/- 3.76, N = 3SE +/- 2.17, N = 10154.53210.0892.9999.99134.25149.99202.63198.20217.13153.90226.26234.141. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 150.87 / Avg: 154.53 / Max: 156.58Min: 199.93 / Avg: 210.08 / Max: 213.52Min: 92.15 / Avg: 92.99 / Max: 93.46Min: 98.72 / Avg: 99.99 / Max: 100.74Min: 131.67 / Avg: 134.25 / Max: 136.24Min: 147.28 / Avg: 149.99 / Max: 151.82Min: 195.89 / Avg: 202.63 / Max: 206.04Min: 191.57 / Avg: 198.2 / Max: 201.82Min: 216.84 / Avg: 217.13 / Max: 217.63Min: 148.96 / Avg: 153.9 / Max: 156.86Min: 218.74 / Avg: 226.26 / Max: 230.06Min: 214.67 / Avg: 234.14 / Max: 236.971. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 0.99, N = 3SE +/- 1.31, N = 3SE +/- 0.46, N = 3SE +/- 0.77, N = 3SE +/- 1.71, N = 3SE +/- 1.57, N = 3SE +/- 1.67, N = 3SE +/- 0.26, N = 3SE +/- 1.50, N = 3SE +/- 0.25, N = 3SE +/- 0.38, N = 3SE +/- 2.14, N = 3550.52785.87316.11335.74438.49514.32586.78585.47619.21545.09661.39688.70MIN: 404.15 / MAX: 850.71MIN: 607.56 / MAX: 1067.02MIN: 240.35 / MAX: 513.8MIN: 254.48 / MAX: 557.97MIN: 334.01 / MAX: 673.67MIN: 394.76 / MAX: 717.47MIN: 461.53 / MAX: 717.45MIN: 461.07 / MAX: 715.8MIN: 475.8 / MAX: 778.14MIN: 401.83 / MAX: 840.98MIN: 505.19 / MAX: 829.84MIN: 524.41 / MAX: 874.261. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X140280420560700Min: 548.6 / Avg: 550.52 / Max: 551.91Min: 783.96 / Avg: 785.87 / Max: 788.39Min: 315.29 / Avg: 316.11 / Max: 316.89Min: 334.22 / Avg: 335.74 / Max: 336.71Min: 435.59 / Avg: 438.49 / Max: 441.51Min: 511.59 / Avg: 514.32 / Max: 517.03Min: 584.06 / Avg: 586.78 / Max: 589.83Min: 585.02 / Avg: 585.47 / Max: 585.93Min: 616.85 / Avg: 619.21 / Max: 621.98Min: 544.83 / Avg: 545.09 / Max: 545.6Min: 660.69 / Avg: 661.39 / Max: 662.01Min: 684.46 / Avg: 688.7 / Max: 691.351. (CC) gcc options: -pthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.015, N = 3SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.026, N = 3SE +/- 0.049, N = 3SE +/- 0.053, N = 3SE +/- 0.026, N = 8SE +/- 0.022, N = 3SE +/- 0.010, N = 3SE +/- 0.017, N = 3SE +/- 0.016, N = 15SE +/- 0.012, N = 33.4012.8236.6066.1293.9603.3753.9884.0225.7162.6913.0583.849MIN: 3.33 / MAX: 5.99MIN: 2.75 / MAX: 4.11MIN: 6.48 / MAX: 21.66MIN: 6.04 / MAX: 8.3MIN: 3.84 / MAX: 5.18MIN: 3.24 / MAX: 13.21MIN: 3.78 / MAX: 15.56MIN: 3.91 / MAX: 6.2MIN: 5.49 / MAX: 6.8MIN: 2.63 / MAX: 4.15MIN: 2.86 / MAX: 15.6MIN: 3.7 / MAX: 14.251. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 3.37 / Avg: 3.4 / Max: 3.42Min: 2.8 / Avg: 2.82 / Max: 2.84Min: 6.59 / Avg: 6.61 / Max: 6.63Min: 6.09 / Avg: 6.13 / Max: 6.18Min: 3.87 / Avg: 3.96 / Max: 4.03Min: 3.27 / Avg: 3.37 / Max: 3.43Min: 3.85 / Avg: 3.99 / Max: 4.11Min: 3.98 / Avg: 4.02 / Max: 4.05Min: 5.7 / Avg: 5.72 / Max: 5.73Min: 2.67 / Avg: 2.69 / Max: 2.72Min: 2.94 / Avg: 3.06 / Max: 3.19Min: 3.83 / Avg: 3.85 / Max: 3.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 366.2647.7991.4184.4764.4154.1446.7946.2742.3755.9640.1237.37
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 66.21 / Avg: 66.26 / Max: 66.35Min: 47.58 / Avg: 47.79 / Max: 48.03Min: 91.31 / Avg: 91.41 / Max: 91.48Min: 84.25 / Avg: 84.47 / Max: 84.66Min: 64.31 / Avg: 64.41 / Max: 64.54Min: 54.02 / Avg: 54.14 / Max: 54.33Min: 46.39 / Avg: 46.79 / Max: 47.3Min: 46.1 / Avg: 46.27 / Max: 46.43Min: 42.25 / Avg: 42.37 / Max: 42.57Min: 55.8 / Avg: 55.96 / Max: 56.09Min: 39.74 / Avg: 40.12 / Max: 40.53Min: 37.28 / Avg: 37.37 / Max: 37.52

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50K100K150K200K250KSE +/- 40.25, N = 3SE +/- 273.40, N = 3SE +/- 1326.69, N = 3SE +/- 297.43, N = 3SE +/- 192.72, N = 3SE +/- 928.82, N = 3SE +/- 186.00, N = 3SE +/- 739.92, N = 3SE +/- 197.01, N = 3SE +/- 95.69, N = 3SE +/- 519.62, N = 3SE +/- 317.75, N = 3236704147694248092222099213644156768140368139014117199180417122229106372
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X40K80K120K160K200KMin: 236638 / Avg: 236704.33 / Max: 236777Min: 147283 / Avg: 147694.33 / Max: 148212Min: 246274 / Avg: 248092.33 / Max: 250675Min: 221515 / Avg: 222099.33 / Max: 222488Min: 213284 / Avg: 213644.33 / Max: 213943Min: 154926 / Avg: 156767.67 / Max: 157899Min: 139997 / Avg: 140368 / Max: 140577Min: 138173 / Avg: 139014 / Max: 140489Min: 116879 / Avg: 117198.67 / Max: 117558Min: 180277 / Avg: 180417 / Max: 180600Min: 121326 / Avg: 122229 / Max: 123126Min: 105755 / Avg: 106371.67 / Max: 106813

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1326395265SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 8SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.43, N = 3SE +/- 0.16, N = 15SE +/- 0.07, N = 332.4825.3158.1552.9730.2629.5333.0733.4742.1325.0427.0628.38MIN: 32.23 / MAX: 45.55MIN: 24.65 / MAX: 37.66MIN: 56.86 / MAX: 79.06MIN: 51.97 / MAX: 66.22MIN: 29.77 / MAX: 40.96MIN: 29.08 / MAX: 40.82MIN: 31.66 / MAX: 46.35MIN: 32.67 / MAX: 45.9MIN: 39.26 / MAX: 53.15MIN: 24.34 / MAX: 37.43MIN: 26.09 / MAX: 38.76MIN: 27.72 / MAX: 40.811. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455Min: 32.44 / Avg: 32.48 / Max: 32.52Min: 24.8 / Avg: 25.31 / Max: 25.6Min: 57.82 / Avg: 58.15 / Max: 58.64Min: 52.71 / Avg: 52.97 / Max: 53.16Min: 29.92 / Avg: 30.26 / Max: 30.43Min: 29.24 / Avg: 29.53 / Max: 29.78Min: 32.15 / Avg: 33.07 / Max: 33.95Min: 33.22 / Avg: 33.47 / Max: 33.86Min: 41.88 / Avg: 42.13 / Max: 42.41Min: 24.56 / Avg: 25.04 / Max: 25.89Min: 26.31 / Avg: 27.06 / Max: 28.07Min: 28.3 / Avg: 28.38 / Max: 28.511. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 0.14, N = 3SE +/- 0.66, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.61, N = 3SE +/- 0.44, N = 3SE +/- 0.17, N = 3SE +/- 0.62, N = 3143.26183.5499.86105.81145.19171.17197.62197.64201.96173.18228.06231.45MIN: 134.31 / MAX: 160.76MIN: 147.87 / MAX: 191.59MIN: 89.89 / MAX: 105.63MIN: 92.09 / MAX: 111.8MIN: 138.55 / MAX: 159.76MIN: 153.68 / MAX: 184.63MIN: 158.2 / MAX: 208.72MIN: 160.44 / MAX: 207.45MIN: 138.19 / MAX: 209.94MIN: 163.49 / MAX: 194.95MIN: 183.97 / MAX: 245.09MIN: 167.76 / MAX: 241.461. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 143.02 / Avg: 143.26 / Max: 143.5Min: 182.23 / Avg: 183.54 / Max: 184.29Min: 99.71 / Avg: 99.86 / Max: 100.02Min: 105.67 / Avg: 105.81 / Max: 105.93Min: 145.11 / Avg: 145.19 / Max: 145.32Min: 170.91 / Avg: 171.17 / Max: 171.45Min: 197.39 / Avg: 197.62 / Max: 197.92Min: 197.5 / Avg: 197.64 / Max: 197.88Min: 200.84 / Avg: 201.96 / Max: 202.91Min: 172.45 / Avg: 173.18 / Max: 173.97Min: 227.9 / Avg: 228.06 / Max: 228.4Min: 230.53 / Avg: 231.45 / Max: 232.631. (CC) gcc options: -pthread

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X14002800420056007000SE +/- 25.86, N = 3SE +/- 28.48, N = 4SE +/- 76.42, N = 4SE +/- 86.81, N = 3SE +/- 23.88, N = 3SE +/- 18.51, N = 4SE +/- 43.45, N = 4SE +/- 22.93, N = 4SE +/- 45.31, N = 4SE +/- 20.13, N = 4SE +/- 36.22, N = 4397728846357597843953663338933483460353128362925
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X11002200330044005500Min: 3926 / Avg: 3976.67 / Max: 4011Min: 2845 / Avg: 2883.75 / Max: 2967Min: 6183 / Avg: 6357 / Max: 6508Min: 5845 / Avg: 5977.67 / Max: 6141Min: 4347 / Avg: 4394.67 / Max: 4421Min: 3363 / Avg: 3388.5 / Max: 3443Min: 3264 / Avg: 3348.25 / Max: 3463Min: 3402 / Avg: 3459.75 / Max: 3500Min: 3405 / Avg: 3530.75 / Max: 3598Min: 2806 / Avg: 2835.5 / Max: 2895Min: 2836 / Avg: 2924.5 / Max: 3001

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.64, N = 3SE +/- 0.34, N = 15SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 344.9433.1449.3744.8136.3432.7228.1326.8625.6631.0422.7722.20
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050Min: 43.66 / Avg: 44.94 / Max: 45.59Min: 31.23 / Avg: 33.14 / Max: 35.04Min: 49.15 / Avg: 49.37 / Max: 49.54Min: 44.5 / Avg: 44.81 / Max: 45.15Min: 36 / Avg: 36.34 / Max: 36.59Min: 32.43 / Avg: 32.72 / Max: 32.9Min: 27.86 / Avg: 28.13 / Max: 28.54Min: 26.67 / Avg: 26.85 / Max: 26.95Min: 25.43 / Avg: 25.66 / Max: 25.8Min: 30.6 / Avg: 31.04 / Max: 31.43Min: 22.65 / Avg: 22.77 / Max: 22.9Min: 22.07 / Avg: 22.2 / Max: 22.29

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.68, N = 3SE +/- 0.09, N = 3SE +/- 1.64, N = 3SE +/- 1.24, N = 3SE +/- 1.10, N = 3SE +/- 0.45, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.56, N = 3SE +/- 0.28, N = 3SE +/- 0.08, N = 3SE +/- 0.90, N = 3131.4082.98154.76141.02127.40118.7488.5986.7977.78106.4072.5669.811. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 130.31 / Avg: 131.4 / Max: 132.65Min: 82.84 / Avg: 82.98 / Max: 83.15Min: 152.45 / Avg: 154.76 / Max: 157.94Min: 139.5 / Avg: 141.02 / Max: 143.47Min: 126.24 / Avg: 127.4 / Max: 129.61Min: 118.06 / Avg: 118.74 / Max: 119.59Min: 88.32 / Avg: 88.59 / Max: 89.06Min: 86.51 / Avg: 86.79 / Max: 87Min: 76.68 / Avg: 77.78 / Max: 78.55Min: 105.87 / Avg: 106.4 / Max: 106.82Min: 72.41 / Avg: 72.56 / Max: 72.7Min: 68.79 / Avg: 69.81 / Max: 71.61. (CXX) g++ options: -O2 -lOpenCL

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 319.6814.2322.7520.8818.0514.9713.4813.2312.2415.1711.0210.361. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 19.62 / Avg: 19.68 / Max: 19.8Min: 14.19 / Avg: 14.23 / Max: 14.31Min: 22.7 / Avg: 22.75 / Max: 22.78Min: 20.88 / Avg: 20.88 / Max: 20.88Min: 18.02 / Avg: 18.05 / Max: 18.07Min: 14.84 / Avg: 14.97 / Max: 15.09Min: 13.32 / Avg: 13.48 / Max: 13.67Min: 13.06 / Avg: 13.23 / Max: 13.37Min: 12.19 / Avg: 12.24 / Max: 12.28Min: 15.13 / Avg: 15.17 / Max: 15.19Min: 10.98 / Avg: 11.02 / Max: 11.07Min: 10.3 / Avg: 10.36 / Max: 10.441. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 1.09, N = 3SE +/- 2.90, N = 3SE +/- 0.93, N = 3SE +/- 0.24, N = 3SE +/- 1.74, N = 3SE +/- 1.15, N = 3SE +/- 1.09, N = 3SE +/- 1.11, N = 3SE +/- 0.54, N = 3SE +/- 0.63, N = 3SE +/- 1.11, N = 3SE +/- 0.35, N = 3174.72176.74281.74264.87197.37183.72196.12194.85195.78129.38155.88149.62
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250Min: 172.88 / Avg: 174.72 / Max: 176.64Min: 172.51 / Avg: 176.74 / Max: 182.29Min: 280.53 / Avg: 281.74 / Max: 283.56Min: 264.42 / Avg: 264.86 / Max: 265.26Min: 194.04 / Avg: 197.37 / Max: 199.92Min: 181.55 / Avg: 183.72 / Max: 185.47Min: 194.06 / Avg: 196.12 / Max: 197.76Min: 192.95 / Avg: 194.85 / Max: 196.79Min: 194.74 / Avg: 195.78 / Max: 196.56Min: 128.17 / Avg: 129.37 / Max: 130.29Min: 154.54 / Avg: 155.88 / Max: 158.09Min: 148.93 / Avg: 149.62 / Max: 150.04

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.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.35, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 316.1714.0426.9025.3817.8816.2915.9516.3915.9712.3712.9513.30MIN: 15.98 / MAX: 27.23MIN: 13.85 / MAX: 15.37MIN: 25.24 / MAX: 30.17MIN: 23.56 / MAX: 136.33MIN: 17.74 / MAX: 19.69MIN: 15.98 / MAX: 18.5MIN: 15.58 / MAX: 16.48MIN: 15.95 / MAX: 85.44MIN: 15.54 / MAX: 16.76MIN: 12.21 / MAX: 26.56MIN: 12.49 / MAX: 14.61MIN: 12.97 / MAX: 13.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 16.05 / Avg: 16.17 / Max: 16.27Min: 14.03 / Avg: 14.04 / Max: 14.06Min: 26.64 / Avg: 26.9 / Max: 27.1Min: 24.86 / Avg: 25.38 / Max: 26.06Min: 17.86 / Avg: 17.88 / Max: 17.92Min: 16.09 / Avg: 16.29 / Max: 16.42Min: 15.79 / Avg: 15.95 / Max: 16.15Min: 16.28 / Avg: 16.39 / Max: 16.57Min: 15.89 / Avg: 15.97 / Max: 16.04Min: 12.36 / Avg: 12.37 / Max: 12.38Min: 12.7 / Avg: 12.95 / Max: 13.26Min: 13.26 / Avg: 13.3 / Max: 13.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1224364860SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 336.9441.5026.2828.6839.0241.7643.1943.5944.5749.1253.4254.991. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455Min: 36.49 / Avg: 36.94 / Max: 37.28Min: 41.37 / Avg: 41.5 / Max: 41.68Min: 26.16 / Avg: 26.28 / Max: 26.36Min: 28.35 / Avg: 28.68 / Max: 28.97Min: 38.94 / Avg: 39.02 / Max: 39.16Min: 41.37 / Avg: 41.76 / Max: 42.06Min: 43.05 / Avg: 43.19 / Max: 43.33Min: 43.53 / Avg: 43.59 / Max: 43.67Min: 44.22 / Avg: 44.57 / Max: 45.01Min: 49.02 / Avg: 49.12 / Max: 49.19Min: 53.34 / Avg: 53.42 / Max: 53.5Min: 54.68 / Avg: 54.99 / Max: 55.261. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.40, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 327.7925.0042.5139.3429.7928.0328.9028.6829.0820.3921.8122.63MIN: 27.7 / MAX: 29.86MIN: 24.78 / MAX: 25.84MIN: 38.92 / MAX: 51.84MIN: 36.42 / MAX: 50.8MIN: 29.39 / MAX: 54.87MIN: 27.86 / MAX: 28.69MIN: 28.52 / MAX: 83.18MIN: 28.4 / MAX: 37.04MIN: 28.81 / MAX: 29.7MIN: 20.15 / MAX: 21.63MIN: 21.37 / MAX: 22.7MIN: 22.14 / MAX: 23.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645Min: 27.78 / Avg: 27.79 / Max: 27.81Min: 24.97 / Avg: 25 / Max: 25.03Min: 41.74 / Avg: 42.51 / Max: 43.09Min: 39.13 / Avg: 39.34 / Max: 39.44Min: 29.77 / Avg: 29.79 / Max: 29.81Min: 27.98 / Avg: 28.03 / Max: 28.07Min: 28.69 / Avg: 28.9 / Max: 29.05Min: 28.62 / Avg: 28.68 / Max: 28.77Min: 29.06 / Avg: 29.08 / Max: 29.12Min: 20.26 / Avg: 20.39 / Max: 20.52Min: 21.59 / Avg: 21.81 / Max: 21.98Min: 22.42 / Avg: 22.63 / Max: 22.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 337.230.321.622.127.032.338.738.939.533.544.644.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645Min: 37.2 / Avg: 37.23 / Max: 37.3Min: 30.3 / Avg: 30.33 / Max: 30.4Min: 21.6 / Avg: 21.6 / Max: 21.6Min: 22 / Avg: 22.07 / Max: 22.1Min: 32.3 / Avg: 32.3 / Max: 32.3Min: 38.6 / Avg: 38.7 / Max: 38.8Min: 38.9 / Avg: 38.9 / Max: 38.9Min: 39.5 / Avg: 39.53 / Max: 39.6Min: 33.5 / Avg: 33.5 / Max: 33.5Min: 44.6 / Avg: 44.63 / Max: 44.7Min: 44.1 / Avg: 44.2 / Max: 44.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X13002600390052006500SE +/- 10.49, N = 3SE +/- 3.56, N = 3SE +/- 5.74, N = 3SE +/- 20.88, N = 3SE +/- 5.02, N = 3SE +/- 16.97, N = 3SE +/- 11.08, N = 3SE +/- 9.17, N = 3SE +/- 11.36, N = 3SE +/- 6.00, N = 3SE +/- 1.96, N = 3SE +/- 17.79, N = 33633.42922.33204.63309.94561.34265.94499.84483.54059.16000.45879.84896.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X10002000300040005000Min: 3614.1 / Avg: 3633.37 / Max: 3650.2Min: 2915.5 / Avg: 2922.3 / Max: 2927.5Min: 3193.4 / Avg: 3204.63 / Max: 3212.3Min: 3271.3 / Avg: 3309.9 / Max: 3343Min: 4551.9 / Avg: 4561.27 / Max: 4569.1Min: 4241.7 / Avg: 4265.87 / Max: 4298.6Min: 4479.3 / Avg: 4499.83 / Max: 4517.3Min: 4468.7 / Avg: 4483.53 / Max: 4500.3Min: 4042.2 / Avg: 4059.1 / Max: 4080.7Min: 5991.9 / Avg: 6000.43 / Max: 6012Min: 5876 / Avg: 5879.83 / Max: 5882.5Min: 4866.5 / Avg: 4896.1 / Max: 49281. (CC) gcc options: -O3 -pthread -lz -llzma

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1224364860SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 3SE +/- 0.59, N = 345.8149.0425.9929.8138.2038.5938.0338.3238.9051.5353.1952.941. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455Min: 45.73 / Avg: 45.81 / Max: 45.91Min: 48.9 / Avg: 49.04 / Max: 49.25Min: 25.7 / Avg: 25.99 / Max: 26.27Min: 29.65 / Avg: 29.81 / Max: 29.93Min: 37.9 / Avg: 38.2 / Max: 38.37Min: 38.43 / Avg: 38.59 / Max: 38.72Min: 37.78 / Avg: 38.03 / Max: 38.24Min: 38.1 / Avg: 38.32 / Max: 38.71Min: 38.51 / Avg: 38.9 / Max: 39.24Min: 51.03 / Avg: 51.53 / Max: 52.03Min: 52.23 / Avg: 53.19 / Max: 53.81Min: 51.92 / Avg: 52.94 / Max: 53.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.43, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 2SE +/- 0.06, N = 314.9213.2823.0921.2117.0316.0517.3817.3119.2411.3912.6813.43MIN: 14.77 / MAX: 16.85MIN: 12.98 / MAX: 14.24MIN: 22.46 / MAX: 50.46MIN: 20.85 / MAX: 39.97MIN: 16.81 / MAX: 18.21MIN: 15.94 / MAX: 25.37MIN: 16.96 / MAX: 17.94MIN: 16.92 / MAX: 19.54MIN: 18.5 / MAX: 19.94MIN: 11.27 / MAX: 12.52MIN: 12.51 / MAX: 13.3MIN: 13.03 / MAX: 14.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 14.84 / Avg: 14.92 / Max: 15Min: 13.25 / Avg: 13.28 / Max: 13.3Min: 22.53 / Avg: 23.09 / Max: 23.94Min: 21.03 / Avg: 21.21 / Max: 21.55Min: 16.91 / Avg: 17.03 / Max: 17.17Min: 16.03 / Avg: 16.05 / Max: 16.08Min: 17.37 / Avg: 17.38 / Max: 17.38Min: 17.3 / Avg: 17.31 / Max: 17.31Min: 19.12 / Avg: 19.24 / Max: 19.4Min: 11.37 / Avg: 11.39 / Max: 11.41Min: 12.65 / Avg: 12.68 / Max: 12.7Min: 13.35 / Avg: 13.43 / Max: 13.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.76051.5212.28153.0423.8025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.612.921.701.852.562.712.682.712.723.203.363.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 2.6 / Avg: 2.61 / Max: 2.61Min: 2.89 / Avg: 2.92 / Max: 2.95Min: 1.69 / Avg: 1.7 / Max: 1.7Min: 1.84 / Avg: 1.85 / Max: 1.85Min: 2.54 / Avg: 2.56 / Max: 2.58Min: 2.69 / Avg: 2.71 / Max: 2.72Min: 2.66 / Avg: 2.68 / Max: 2.7Min: 2.68 / Avg: 2.71 / Max: 2.72Min: 2.72 / Avg: 2.72 / Max: 2.73Min: 3.18 / Avg: 3.2 / Max: 3.21Min: 3.32 / Avg: 3.36 / Max: 3.39Min: 3.34 / Avg: 3.38 / Max: 3.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 36.487.385.665.986.596.927.147.037.2210.3611.0811.24
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.45 / Avg: 6.48 / Max: 6.52Min: 7.29 / Avg: 7.38 / Max: 7.43Min: 5.65 / Avg: 5.66 / Max: 5.67Min: 5.96 / Avg: 5.98 / Max: 6Min: 6.57 / Avg: 6.59 / Max: 6.62Min: 6.86 / Avg: 6.92 / Max: 7.03Min: 7.13 / Avg: 7.14 / Max: 7.15Min: 6.93 / Avg: 7.03 / Max: 7.11Min: 7.19 / Avg: 7.22 / Max: 7.26Min: 10.34 / Avg: 10.36 / Max: 10.37Min: 10.79 / Avg: 11.08 / Max: 11.37Min: 11.15 / Avg: 11.24 / Max: 11.34

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 37.889.216.356.828.949.7910.5910.6111.1510.2712.4312.61
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 7.85 / Avg: 7.88 / Max: 7.9Min: 9.1 / Avg: 9.21 / Max: 9.27Min: 6.33 / Avg: 6.35 / Max: 6.36Min: 6.82 / Avg: 6.82 / Max: 6.82Min: 8.9 / Avg: 8.94 / Max: 8.99Min: 9.78 / Avg: 9.79 / Max: 9.81Min: 10.57 / Avg: 10.59 / Max: 10.64Min: 10.56 / Avg: 10.61 / Max: 10.68Min: 11.08 / Avg: 11.15 / Max: 11.19Min: 10.24 / Avg: 10.27 / Max: 10.29Min: 12.32 / Avg: 12.43 / Max: 12.5Min: 12.57 / Avg: 12.61 / Max: 12.65

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.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.38, N = 3SE +/- 0.22, N = 329.2024.2847.0443.7731.6028.4727.8227.6629.9124.7824.2925.48MIN: 28.94 / MAX: 30.06MIN: 23.97 / MAX: 25.62MIN: 46.55 / MAX: 79.05MIN: 43.19 / MAX: 66.44MIN: 31.38 / MAX: 32.98MIN: 28.22 / MAX: 30.66MIN: 27.35 / MAX: 28.71MIN: 27.41 / MAX: 33.56MIN: 29.44 / MAX: 31.38MIN: 24.6 / MAX: 36.85MIN: 23.69 / MAX: 27.95MIN: 24.9 / MAX: 41.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050Min: 29.17 / Avg: 29.2 / Max: 29.25Min: 24.22 / Avg: 24.28 / Max: 24.37Min: 46.81 / Avg: 47.04 / Max: 47.22Min: 43.35 / Avg: 43.77 / Max: 44.16Min: 31.5 / Avg: 31.6 / Max: 31.78Min: 28.31 / Avg: 28.47 / Max: 28.64Min: 27.54 / Avg: 27.82 / Max: 28.2Min: 27.61 / Avg: 27.66 / Max: 27.71Min: 29.71 / Avg: 29.91 / Max: 30.21Min: 24.7 / Avg: 24.78 / Max: 24.84Min: 23.79 / Avg: 24.29 / Max: 25.03Min: 25.19 / Avg: 25.48 / Max: 25.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 329.8023.5837.5634.8830.4825.8824.1123.8321.2326.6321.2519.47-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240Min: 29.68 / Avg: 29.8 / Max: 29.89Min: 23.51 / Avg: 23.58 / Max: 23.64Min: 37.2 / Avg: 37.56 / Max: 37.84Min: 34.51 / Avg: 34.88 / Max: 35.22Min: 30.39 / Avg: 30.48 / Max: 30.56Min: 25.83 / Avg: 25.88 / Max: 25.92Min: 24.04 / Avg: 24.11 / Max: 24.21Min: 23.63 / Avg: 23.83 / Max: 23.94Min: 21.17 / Avg: 21.23 / Max: 21.28Min: 26.55 / Avg: 26.63 / Max: 26.79Min: 21.17 / Avg: 21.25 / Max: 21.38Min: 19.44 / Avg: 19.47 / Max: 19.531. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1.18352.3673.55054.7345.9175SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.174.652.742.983.974.204.164.184.185.065.265.241. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 4.15 / Avg: 4.17 / Max: 4.18Min: 4.59 / Avg: 4.65 / Max: 4.72Min: 2.73 / Avg: 2.74 / Max: 2.75Min: 2.96 / Avg: 2.98 / Max: 2.99Min: 3.97 / Avg: 3.97 / Max: 3.98Min: 4.17 / Avg: 4.2 / Max: 4.21Min: 4.11 / Avg: 4.16 / Max: 4.19Min: 4.13 / Avg: 4.18 / Max: 4.22Min: 4.15 / Avg: 4.18 / Max: 4.22Min: 5.05 / Avg: 5.06 / Max: 5.07Min: 5.25 / Avg: 5.26 / Max: 5.27Min: 5.23 / Avg: 5.24 / Max: 5.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.27, N = 3SE +/- 0.31, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3110.0387.43157.41137.80109.6499.0694.9394.0390.5599.3183.5882.47
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 109.61 / Avg: 110.03 / Max: 110.54Min: 86.81 / Avg: 87.43 / Max: 87.82Min: 157.2 / Avg: 157.41 / Max: 157.73Min: 137.61 / Avg: 137.8 / Max: 138.12Min: 109.3 / Avg: 109.64 / Max: 109.99Min: 98.92 / Avg: 99.06 / Max: 99.2Min: 94.85 / Avg: 94.92 / Max: 95.03Min: 94.03 / Avg: 94.03 / Max: 94.04Min: 90.5 / Avg: 90.55 / Max: 90.59Min: 99.06 / Avg: 99.31 / Max: 99.68Min: 83.3 / Avg: 83.58 / Max: 83.82Min: 82.14 / Avg: 82.47 / Max: 82.82

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.36, N = 3SE +/- 0.20, N = 328.6630.3417.3419.3025.9926.9925.8325.6425.3732.8331.1230.811. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 28.47 / Avg: 28.66 / Max: 28.85Min: 30.2 / Avg: 30.34 / Max: 30.52Min: 17.26 / Avg: 17.34 / Max: 17.41Min: 19.05 / Avg: 19.3 / Max: 19.51Min: 25.89 / Avg: 25.99 / Max: 26.14Min: 26.82 / Avg: 26.99 / Max: 27.31Min: 25.71 / Avg: 25.83 / Max: 25.95Min: 25.52 / Avg: 25.64 / Max: 25.77Min: 25.31 / Avg: 25.37 / Max: 25.45Min: 32.64 / Avg: 32.83 / Max: 33.12Min: 30.49 / Avg: 31.12 / Max: 31.75Min: 30.48 / Avg: 30.81 / Max: 31.181. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 321.7025.6713.5814.8419.2619.4719.8219.6419.4724.5325.3025.451. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 21.57 / Avg: 21.7 / Max: 21.8Min: 25.33 / Avg: 25.67 / Max: 26.05Min: 13.54 / Avg: 13.58 / Max: 13.64Min: 14.77 / Avg: 14.84 / Max: 14.9Min: 19.13 / Avg: 19.26 / Max: 19.36Min: 19.23 / Avg: 19.47 / Max: 19.68Min: 19.7 / Avg: 19.82 / Max: 20.04Min: 19.58 / Avg: 19.64 / Max: 19.69Min: 19.33 / Avg: 19.47 / Max: 19.65Min: 24.43 / Avg: 24.53 / Max: 24.63Min: 25.16 / Avg: 25.3 / Max: 25.53Min: 25.21 / Avg: 25.45 / Max: 25.581. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 314.4817.0612.5713.2314.7615.6516.4016.3816.8520.3423.2023.64
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 14.35 / Avg: 14.48 / Max: 14.57Min: 17.02 / Avg: 17.06 / Max: 17.12Min: 12.55 / Avg: 12.57 / Max: 12.59Min: 13.2 / Avg: 13.23 / Max: 13.25Min: 14.73 / Avg: 14.76 / Max: 14.83Min: 15.57 / Avg: 15.65 / Max: 15.72Min: 16.28 / Avg: 16.4 / Max: 16.52Min: 16.2 / Avg: 16.38 / Max: 16.53Min: 16.83 / Avg: 16.85 / Max: 16.86Min: 20.16 / Avg: 20.34 / Max: 20.46Min: 22.86 / Avg: 23.2 / Max: 23.44Min: 23.58 / Avg: 23.64 / Max: 23.73

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.0360.0720.1080.1440.18SE +/- 0.00016538, N = 3SE +/- 0.00032095, N = 3SE +/- 0.00040584, N = 3SE +/- 0.00034204, N = 3SE +/- 0.00138595, N = 3SE +/- 0.00131011, N = 15SE +/- 0.00086563, N = 3SE +/- 0.00093524, N = 3SE +/- 0.00118276, N = 3SE +/- 0.00010732, N = 3SE +/- 0.00117965, N = 15SE +/- 0.00107634, N = 30.100639760.097657810.159787460.148295770.116432470.110188770.110959950.113382120.110595130.089303340.085733400.08659397
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X12345Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.11 / Avg: 0.12 / Max: 0.12Min: 0.1 / Avg: 0.11 / Max: 0.12Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.09 / Max: 0.09

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000611.64588.16788.88737.38549.02529.70546.89526.46522.74437.95430.24426.53

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.002, N = 3SE +/- 0.033, N = 3SE +/- 0.028, N = 3SE +/- 0.034, N = 3SE +/- 0.015, N = 3SE +/- 0.025, N = 3SE +/- 0.105, N = 3SE +/- 0.081, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 37.5956.3719.7038.9547.6206.7976.7156.7606.3656.1415.4265.2521. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 7.59 / Avg: 7.59 / Max: 7.6Min: 6.33 / Avg: 6.37 / Max: 6.44Min: 9.66 / Avg: 9.7 / Max: 9.76Min: 8.89 / Avg: 8.95 / Max: 9.01Min: 7.59 / Avg: 7.62 / Max: 7.65Min: 6.75 / Avg: 6.8 / Max: 6.83Min: 6.59 / Avg: 6.71 / Max: 6.92Min: 6.6 / Avg: 6.76 / Max: 6.86Min: 6.36 / Avg: 6.37 / Max: 6.37Min: 6.14 / Avg: 6.14 / Max: 6.14Min: 5.42 / Avg: 5.43 / Max: 5.44Min: 5.24 / Avg: 5.25 / Max: 5.271. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X120240360480600SE +/- 0.84, N = 3SE +/- 2.16, N = 3SE +/- 0.13, N = 3SE +/- 0.51, N = 3SE +/- 1.99, N = 3SE +/- 2.64, N = 3SE +/- 3.07, N = 3SE +/- 1.51, N = 3SE +/- 2.57, N = 3SE +/- 0.60, N = 3SE +/- 2.53, N = 3SE +/- 6.57, N = 3413.80451.53299.09318.91415.99432.12409.49425.55422.17543.12550.69542.76
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X100200300400500Min: 412.91 / Avg: 413.8 / Max: 415.48Min: 447.88 / Avg: 451.53 / Max: 455.36Min: 298.91 / Avg: 299.09 / Max: 299.33Min: 317.9 / Avg: 318.91 / Max: 319.5Min: 412.02 / Avg: 415.99 / Max: 418.32Min: 427.21 / Avg: 432.12 / Max: 436.24Min: 405.48 / Avg: 409.49 / Max: 415.52Min: 422.55 / Avg: 425.55 / Max: 427.33Min: 418.29 / Avg: 422.17 / Max: 427.03Min: 542.19 / Avg: 543.12 / Max: 544.24Min: 547.45 / Avg: 550.69 / Max: 555.67Min: 529.63 / Avg: 542.76 / Max: 549.85

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X12002400360048006000SE +/- 26.51, N = 4SE +/- 25.71, N = 4SE +/- 38.39, N = 4SE +/- 26.26, N = 4SE +/- 17.11, N = 4SE +/- 27.52, N = 4SE +/- 11.74, N = 4SE +/- 23.65, N = 4SE +/- 15.68, N = 4SE +/- 33.87, N = 4SE +/- 20.69, N = 4SE +/- 27.26, N = 4367633195626523242153965399039633946331330683066
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X10002000300040005000Min: 3603 / Avg: 3675.75 / Max: 3724Min: 3263 / Avg: 3318.5 / Max: 3368Min: 5555 / Avg: 5625.5 / Max: 5729Min: 5172 / Avg: 5232.25 / Max: 5282Min: 4177 / Avg: 4214.5 / Max: 4254Min: 3925 / Avg: 3964.75 / Max: 4044Min: 3968 / Avg: 3990.25 / Max: 4012Min: 3900 / Avg: 3962.5 / Max: 4015Min: 3900 / Avg: 3946.25 / Max: 3969Min: 3254 / Avg: 3312.5 / Max: 3409Min: 3011 / Avg: 3068.25 / Max: 3108Min: 3015 / Avg: 3066 / Max: 3143

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 321.4818.0431.4628.5322.7321.2020.9220.6720.2119.2817.2917.19
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 21.33 / Avg: 21.48 / Max: 21.56Min: 17.94 / Avg: 18.04 / Max: 18.17Min: 31.36 / Avg: 31.46 / Max: 31.53Min: 28.47 / Avg: 28.53 / Max: 28.62Min: 22.65 / Avg: 22.72 / Max: 22.82Min: 21.12 / Avg: 21.2 / Max: 21.37Min: 20.88 / Avg: 20.92 / Max: 20.98Min: 20.53 / Avg: 20.67 / Max: 20.76Min: 20.09 / Avg: 20.21 / Max: 20.29Min: 19.25 / Avg: 19.28 / Max: 19.31Min: 17.25 / Avg: 17.29 / Max: 17.33Min: 17.13 / Avg: 17.19 / Max: 17.3

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250192.56183.25243.89233.40172.48167.36171.79170.08169.17133.29134.28135.23

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X140280420560700SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3373353627582427406428413417352344344
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X110220330440550Min: 352 / Avg: 352.67 / Max: 353Min: 625 / Avg: 626.67 / Max: 628Min: 580 / Avg: 581.67 / Max: 584Min: 405 / Avg: 405.67 / Max: 407Min: 412 / Avg: 413.33 / Max: 414Min: 351 / Avg: 351.67 / Max: 352Min: 343 / Avg: 343.67 / Max: 344

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNACore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.020, N = 3SE +/- 0.081, N = 3SE +/- 0.042, N = 3SE +/- 0.030, N = 3SE +/- 0.050, N = 3SE +/- 0.029, N = 3SE +/- 0.017, N = 3SE +/- 0.048, N = 3SE +/- 0.041, N = 3SE +/- 0.063, N = 3SE +/- 0.029, N = 3SE +/- 0.044, N = 38.7508.70213.23912.58611.42411.0188.9078.9738.5918.5157.3657.3501. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNACore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 8.73 / Avg: 8.75 / Max: 8.79Min: 8.58 / Avg: 8.7 / Max: 8.86Min: 13.18 / Avg: 13.24 / Max: 13.32Min: 12.55 / Avg: 12.59 / Max: 12.65Min: 11.36 / Avg: 11.42 / Max: 11.52Min: 10.96 / Avg: 11.02 / Max: 11.06Min: 8.88 / Avg: 8.91 / Max: 8.94Min: 8.91 / Avg: 8.97 / Max: 9.07Min: 8.52 / Avg: 8.59 / Max: 8.66Min: 8.43 / Avg: 8.52 / Max: 8.64Min: 7.33 / Avg: 7.36 / Max: 7.42Min: 7.26 / Avg: 7.35 / Max: 7.411. (CC) gcc options: -std=c99 -O3 -lm -lpthread

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 0.30, N = 3SE +/- 7.35, N = 3SE +/- 2.37, N = 3SE +/- 0.98, N = 3SE +/- 3.31, N = 3SE +/- 7.80, N = 3SE +/- 11.67, N = 3SE +/- 10.13, N = 3SE +/- 6.32, N = 3SE +/- 0.93, N = 3SE +/- 1.55, N = 3SE +/- 3.00, N = 3741.22829.30494.99528.11716.75732.75717.42743.57751.35830.95871.93885.601. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X160320480640800Min: 740.69 / Avg: 741.22 / Max: 741.73Min: 814.6 / Avg: 829.3 / Max: 836.98Min: 490.26 / Avg: 494.99 / Max: 497.62Min: 526.76 / Avg: 528.11 / Max: 530.01Min: 713.06 / Avg: 716.75 / Max: 723.36Min: 721.55 / Avg: 732.75 / Max: 747.76Min: 694.09 / Avg: 717.42 / Max: 729.65Min: 724.18 / Avg: 743.57 / Max: 758.36Min: 742.02 / Avg: 751.35 / Max: 763.4Min: 829.12 / Avg: 830.95 / Max: 832.18Min: 868.85 / Avg: 871.93 / Max: 873.75Min: 880.45 / Avg: 885.6 / Max: 890.831. (CC) gcc options: -lm

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 37.888.085.435.897.698.087.737.807.839.689.519.501. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 7.87 / Avg: 7.88 / Max: 7.9Min: 8.07 / Avg: 8.08 / Max: 8.09Min: 5.41 / Avg: 5.43 / Max: 5.44Min: 5.87 / Avg: 5.89 / Max: 5.92Min: 7.67 / Avg: 7.69 / Max: 7.72Min: 8.05 / Avg: 8.08 / Max: 8.1Min: 7.68 / Avg: 7.73 / Max: 7.77Min: 7.77 / Avg: 7.8 / Max: 7.82Min: 7.82 / Avg: 7.83 / Max: 7.84Min: 9.66 / Avg: 9.68 / Max: 9.69Min: 9.47 / Avg: 9.51 / Max: 9.59Min: 9.49 / Avg: 9.5 / Max: 9.511. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.69, N = 3SE +/- 0.47, N = 3SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.39, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 368.8363.6397.1387.2769.2566.9172.7469.9470.2454.5356.9961.58-mmpx-mmpx-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-mmpx-msse4a -msha-msse4a -msha1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 68.61 / Avg: 68.83 / Max: 69.08Min: 63.49 / Avg: 63.63 / Max: 63.87Min: 96.37 / Avg: 97.13 / Max: 98.5Min: 86.77 / Avg: 87.27 / Max: 88.2Min: 68.8 / Avg: 69.25 / Max: 69.59Min: 66.63 / Avg: 66.91 / Max: 67.18Min: 72.65 / Avg: 72.74 / Max: 72.81Min: 69.86 / Avg: 69.94 / Max: 70.09Min: 69.81 / Avg: 70.24 / Max: 71.02Min: 54.29 / Avg: 54.53 / Max: 54.72Min: 56.72 / Avg: 56.99 / Max: 57.21Min: 61.54 / Avg: 61.58 / Max: 61.641. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1632486480SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.26, N = 3SE +/- 0.68, N = 3SE +/- 0.09, N = 3SE +/- 0.47, N = 3SE +/- 0.34, N = 3SE +/- 0.08, N = 3SE +/- 0.71, N = 3SE +/- 0.18, N = 349.0546.5673.9369.1157.3053.9855.7856.7755.0743.0641.5442.681. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1428425670Min: 48.93 / Avg: 49.05 / Max: 49.22Min: 46.49 / Avg: 46.56 / Max: 46.69Min: 73.7 / Avg: 73.93 / Max: 74.18Min: 68.64 / Avg: 69.11 / Max: 69.61Min: 56.81 / Avg: 57.3 / Max: 57.66Min: 52.74 / Avg: 53.98 / Max: 55.11Min: 55.6 / Avg: 55.78 / Max: 55.9Min: 55.86 / Avg: 56.77 / Max: 57.39Min: 54.43 / Avg: 55.07 / Max: 55.57Min: 42.95 / Avg: 43.06 / Max: 43.23Min: 40.83 / Avg: 41.54 / Max: 42.95Min: 42.34 / Avg: 42.68 / Max: 42.961. (CC) gcc options: -O2 -ldl -lz -lpthread

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 320.8619.8631.7028.4923.8823.7824.2123.7823.9217.8418.3218.551. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 20.8 / Avg: 20.86 / Max: 20.99Min: 19.76 / Avg: 19.86 / Max: 20.02Min: 31.57 / Avg: 31.7 / Max: 31.96Min: 28.4 / Avg: 28.49 / Max: 28.64Min: 23.8 / Avg: 23.88 / Max: 23.92Min: 23.72 / Avg: 23.78 / Max: 23.85Min: 24.07 / Avg: 24.21 / Max: 24.33Min: 23.56 / Avg: 23.78 / Max: 24.17Min: 23.64 / Avg: 23.92 / Max: 24.12Min: 17.69 / Avg: 17.84 / Max: 18Min: 18.25 / Avg: 18.32 / Max: 18.38Min: 18.49 / Avg: 18.55 / Max: 18.591. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.20, N = 398.793.0156.0142.0105.0100.0103.0101.0102.090.188.789.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 98.6 / Avg: 98.7 / Max: 98.9Min: 92.9 / Avg: 92.97 / Max: 93Min: 155 / Avg: 156.33 / Max: 158Min: 103 / Avg: 103.33 / Max: 104Min: 89.8 / Avg: 90.1 / Max: 90.3Min: 88.4 / Avg: 88.73 / Max: 89.2Min: 88.7 / Avg: 89.03 / Max: 89.4

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.124, N = 3SE +/- 0.050, N = 3SE +/- 0.154, N = 3SE +/- 0.130, N = 3SE +/- 0.080, N = 3SE +/- 0.088, N = 3SE +/- 0.030, N = 3SE +/- 0.053, N = 3SE +/- 0.053, N = 3SE +/- 0.037, N = 3SE +/- 0.064, N = 3SE +/- 0.085, N = 37.9266.80410.8649.6688.2367.6737.4917.3817.2896.8276.3446.298
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 7.79 / Avg: 7.93 / Max: 8.17Min: 6.73 / Avg: 6.8 / Max: 6.9Min: 10.7 / Avg: 10.86 / Max: 11.17Min: 9.49 / Avg: 9.67 / Max: 9.92Min: 8.11 / Avg: 8.24 / Max: 8.38Min: 7.55 / Avg: 7.67 / Max: 7.84Min: 7.44 / Avg: 7.49 / Max: 7.55Min: 7.3 / Avg: 7.38 / Max: 7.48Min: 7.19 / Avg: 7.29 / Max: 7.38Min: 6.78 / Avg: 6.83 / Max: 6.9Min: 6.23 / Avg: 6.34 / Max: 6.45Min: 6.19 / Avg: 6.3 / Max: 6.47

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 0.15, N = 3SE +/- 0.36, N = 3SE +/- 0.11, N = 3SE +/- 0.32, N = 3SE +/- 0.23, N = 3SE +/- 2.30, N = 3SE +/- 0.79, N = 3SE +/- 0.03, N = 3SE +/- 3.33, N = 4SE +/- 0.53, N = 3SE +/- 0.76, N = 3SE +/- 0.44, N = 3223.57237.26164.17176.66221.22232.69229.31221.00225.71276.46281.15281.53-lm-lm1. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250Min: 223.28 / Avg: 223.57 / Max: 223.78Min: 236.71 / Avg: 237.26 / Max: 237.93Min: 163.96 / Avg: 164.17 / Max: 164.3Min: 176.04 / Avg: 176.66 / Max: 177.13Min: 220.92 / Avg: 221.22 / Max: 221.67Min: 228.17 / Avg: 232.69 / Max: 235.7Min: 228.35 / Avg: 229.31 / Max: 230.87Min: 220.97 / Avg: 221 / Max: 221.06Min: 220.92 / Avg: 225.71 / Max: 235.56Min: 275.42 / Avg: 276.46 / Max: 277.19Min: 279.95 / Avg: 281.15 / Max: 282.54Min: 280.89 / Avg: 281.53 / Max: 282.371. (CC) gcc options: -O3 -rdynamic

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2M4M6M8M10MSE +/- 7610.57, N = 3SE +/- 18480.02, N = 3SE +/- 19360.82, N = 3SE +/- 91197.02, N = 5SE +/- 45342.43, N = 3SE +/- 24969.38, N = 3SE +/- 33192.92, N = 3SE +/- 124855.19, N = 3SE +/- 28955.96, N = 3SE +/- 12610.07, N = 3SE +/- 9488.88, N = 3SE +/- 46067.71, N = 391961541008741867184037221279891201888052879268070907152891954031119196211404838115195671. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2M4M6M8M10MMin: 9183542 / Avg: 9196153.67 / Max: 9209840Min: 10051593 / Avg: 10087418 / Max: 10113202Min: 6687747 / Avg: 6718402.67 / Max: 6754217Min: 6870615 / Avg: 7221279.4 / Max: 7396466Min: 8848984 / Avg: 8912018 / Max: 8999996Min: 8755388 / Avg: 8805287.33 / Max: 8831955Min: 9203245 / Avg: 9268070 / Max: 9312876Min: 8919264 / Avg: 9071528.33 / Max: 9319061Min: 9154967 / Avg: 9195402.67 / Max: 9251524Min: 11167421 / Avg: 11191962 / Max: 11209267Min: 11393789 / Avg: 11404838 / Max: 11423725Min: 11451403 / Avg: 11519567.33 / Max: 116073331. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.456.807.096.449.607.987.077.046.278.096.015.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 9.45 / Avg: 9.45 / Max: 9.45Min: 6.76 / Avg: 6.8 / Max: 6.87Min: 7.08 / Avg: 7.09 / Max: 7.09Min: 6.44 / Avg: 6.44 / Max: 6.45Min: 9.59 / Avg: 9.6 / Max: 9.62Min: 7.91 / Avg: 7.98 / Max: 8.07Min: 7.05 / Avg: 7.07 / Max: 7.08Min: 6.95 / Avg: 7.04 / Max: 7.08Min: 6.19 / Avg: 6.27 / Max: 6.31Min: 8.08 / Avg: 8.09 / Max: 8.1Min: 5.97 / Avg: 6.01 / Max: 6.04Min: 5.59 / Avg: 5.6 / Max: 5.611. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 317.0515.8225.1923.2918.9718.0618.5618.3818.5114.9714.8114.751. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 16.79 / Avg: 17.05 / Max: 17.37Min: 15.56 / Avg: 15.82 / Max: 16.13Min: 25.12 / Avg: 25.19 / Max: 25.23Min: 23.11 / Avg: 23.29 / Max: 23.39Min: 18.89 / Avg: 18.97 / Max: 19.05Min: 17.86 / Avg: 18.06 / Max: 18.16Min: 18.38 / Avg: 18.56 / Max: 18.9Min: 18.28 / Avg: 18.38 / Max: 18.5Min: 18.42 / Avg: 18.51 / Max: 18.64Min: 14.82 / Avg: 14.97 / Max: 15.12Min: 14.76 / Avg: 14.81 / Max: 14.88Min: 14.67 / Avg: 14.75 / Max: 14.811. chrome 86.0.4240.75

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1428425670SE +/- 0.14, N = 3SE +/- 0.38, N = 3SE +/- 0.33, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.64, N = 3SE +/- 0.38, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 352.4143.3062.7357.8151.3545.8344.3543.5542.2643.6637.4036.781. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1224364860Min: 52.22 / Avg: 52.41 / Max: 52.68Min: 42.78 / Avg: 43.3 / Max: 44.04Min: 62.29 / Avg: 62.73 / Max: 63.38Min: 57.75 / Avg: 57.81 / Max: 57.9Min: 51.1 / Avg: 51.35 / Max: 51.61Min: 45.61 / Avg: 45.83 / Max: 45.94Min: 44.03 / Avg: 44.35 / Max: 44.7Min: 42.61 / Avg: 43.55 / Max: 44.79Min: 41.53 / Avg: 42.25 / Max: 42.77Min: 43.53 / Avg: 43.66 / Max: 43.78Min: 37.1 / Avg: 37.39 / Max: 37.84Min: 36.68 / Avg: 36.78 / Max: 36.951. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.33, N = 3SE +/- 0.68, N = 3SE +/- 0.56, N = 3SE +/- 0.25, N = 3SE +/- 0.58, N = 3SE +/- 0.32, N = 3135.00138.0097.95106.00136.50143.20140.20142.40141.80163.20167.00167.001. chrome 86.0.4240.75
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 134 / Avg: 134.67 / Max: 135Min: 137 / Avg: 138 / Max: 139Min: 97.41 / Avg: 97.95 / Max: 98.44Min: 105.7 / Avg: 105.97 / Max: 106.1Min: 136.2 / Avg: 136.5 / Max: 137Min: 142.9 / Avg: 143.23 / Max: 143.8Min: 139.7 / Avg: 140.17 / Max: 140.8Min: 141 / Avg: 142.37 / Max: 143.1Min: 141 / Avg: 141.83 / Max: 142.9Min: 162.9 / Avg: 163.2 / Max: 163.7Min: 166 / Avg: 167 / Max: 168Min: 166.5 / Avg: 167.03 / Max: 167.61. chrome 86.0.4240.75

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 336.8035.2026.2829.0035.3336.5036.2036.3036.4043.4544.8044.401. chrome 86.0.4240.75
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645Min: 36.6 / Avg: 36.8 / Max: 37Min: 34.9 / Avg: 35.23 / Max: 35.7Min: 25.7 / Avg: 26.28 / Max: 26.72Min: 28.8 / Avg: 29.03 / Max: 29.3Min: 35.2 / Avg: 35.33 / Max: 35.4Min: 36.4 / Avg: 36.47 / Max: 36.5Min: 35.9 / Avg: 36.2 / Max: 36.4Min: 35.8 / Avg: 36.3 / Max: 36.7Min: 36.1 / Avg: 36.43 / Max: 36.8Min: 43.3 / Avg: 43.45 / Max: 43.54Min: 44.6 / Avg: 44.8 / Max: 44.9Min: 44.2 / Avg: 44.37 / Max: 44.71. chrome 86.0.4240.75

Fhourstones

This integer benchmark solves positions in the game of Connect-4, as played on a vertical 7x6 board. By default, it uses a 64Mb transposition table with the twobig replacement strategy. Positions are represented as 64-bit bitboards, and the hash function is computed using a single 64-bit modulo operation, giving 64-bit machines a slight edge. The alpha-beta searcher sorts moves dynamically based on the history heuristic. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKpos / sec, More Is BetterFhourstones 3.1Complex Connect-4 SolvingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4K8K12K16K20KSE +/- 15.81, N = 3SE +/- 15.99, N = 3SE +/- 45.17, N = 3SE +/- 63.16, N = 3SE +/- 25.69, N = 3SE +/- 32.40, N = 3SE +/- 104.27, N = 3SE +/- 155.45, N = 8SE +/- 67.33, N = 3SE +/- 185.84, N = 3SE +/- 46.12, N = 3SE +/- 274.41, N = 315846.117624.811869.613100.015263.716160.115451.015572.815875.820100.720018.520223.01. (CC) gcc options: -O3
OpenBenchmarking.orgKpos / sec, More Is BetterFhourstones 3.1Complex Connect-4 SolvingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4K8K12K16K20KMin: 15827.7 / Avg: 15846.13 / Max: 15877.6Min: 17596.3 / Avg: 17624.8 / Max: 17651.6Min: 11781.6 / Avg: 11869.63 / Max: 11931.2Min: 12978.8 / Avg: 13099.97 / Max: 13191.5Min: 15212.4 / Avg: 15263.73 / Max: 15291.3Min: 16095.3 / Avg: 16160.1 / Max: 16193.3Min: 15250 / Avg: 15450.97 / Max: 15599.7Min: 14980.9 / Avg: 15572.84 / Max: 16163.9Min: 15808.1 / Avg: 15875.83 / Max: 16010.5Min: 19733.6 / Avg: 20100.73 / Max: 20334.5Min: 19941.9 / Avg: 20018.53 / Max: 20101.3Min: 19921 / Avg: 20223.03 / Max: 20770.91. (CC) gcc options: -O3

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 1.00, N = 3SE +/- 2.65, N = 3SE +/- 0.88, N = 3SE +/- 3.51, N = 3SE +/- 12.84, N = 3SE +/- 9.68, N = 3SE +/- 6.01, N = 3SE +/- 8.11, N = 38629456236577547947667267991035105610421. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000Min: 861 / Avg: 862.33 / Max: 864Min: 943 / Avg: 944.67 / Max: 947Min: 621 / Avg: 623 / Max: 624Min: 653 / Avg: 657 / Max: 662Min: 753 / Avg: 754.33 / Max: 756Min: 787 / Avg: 794 / Max: 798Min: 740 / Avg: 765.67 / Max: 779Min: 715 / Avg: 725.67 / Max: 745Min: 1023 / Avg: 1034.67 / Max: 1043Min: 1027 / Avg: 1041.67 / Max: 10551. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4812162012.3511.6415.6114.5112.1411.5412.2312.1212.039.409.289.22

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 2.56, N = 5SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 2.19, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 32071662792532332112112051992031791801. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250Min: 204 / Avg: 206.8 / Max: 217Min: 278 / Avg: 279.33 / Max: 280Min: 210 / Avg: 210.67 / Max: 211Min: 204 / Avg: 204.67 / Max: 205Min: 200 / Avg: 202.67 / Max: 207Min: 178 / Avg: 179.33 / Max: 182Min: 179 / Avg: 179.67 / Max: 1801. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 315.214.321.319.916.115.215.815.415.613.212.712.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 15.2 / Avg: 15.2 / Max: 15.2Min: 14.2 / Avg: 14.27 / Max: 14.3Min: 21.3 / Avg: 21.3 / Max: 21.3Min: 19.9 / Avg: 19.93 / Max: 20Min: 16 / Avg: 16.07 / Max: 16.1Min: 15.2 / Avg: 15.23 / Max: 15.3Min: 15.8 / Avg: 15.83 / Max: 15.9Min: 15.3 / Avg: 15.4 / Max: 15.5Min: 15.5 / Avg: 15.57 / Max: 15.6Min: 13.2 / Avg: 13.2 / Max: 13.2Min: 12.6 / Avg: 12.67 / Max: 12.7Min: 12.7 / Avg: 12.7 / Max: 12.7

LibreOffice

Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.062, N = 22SE +/- 0.062, N = 23SE +/- 0.058, N = 22SE +/- 0.052, N = 22SE +/- 0.051, N = 22SE +/- 0.050, N = 20SE +/- 0.040, N = 25SE +/- 0.053, N = 25SE +/- 0.046, N = 25SE +/- 0.063, N = 22SE +/- 0.044, N = 25SE +/- 0.047, N = 236.5686.2898.5427.8796.4816.2076.5066.3556.4125.2655.1425.1261. LibreOffice 7.0.1.2 00(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.4 / Avg: 6.57 / Max: 7.81Min: 6.06 / Avg: 6.29 / Max: 7.57Min: 8.42 / Avg: 8.54 / Max: 9.74Min: 7.68 / Avg: 7.88 / Max: 8.94Min: 6.35 / Avg: 6.48 / Max: 7.53Min: 5.98 / Avg: 6.21 / Max: 7.07Min: 6.3 / Avg: 6.51 / Max: 7.33Min: 6.11 / Avg: 6.36 / Max: 7.48Min: 6.16 / Avg: 6.41 / Max: 7.32Min: 5.15 / Avg: 5.26 / Max: 6.59Min: 4.98 / Avg: 5.14 / Max: 6.14Min: 4.94 / Avg: 5.13 / Max: 6.111. LibreOffice 7.0.1.2 00(Build:2)

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.29, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3102.72131.9480.0986.4897.93105.06110.59110.90113.75117.34128.47133.14MIN: 66.79 / MAX: 241.72MIN: 84.38 / MAX: 304.84MIN: 53.02 / MAX: 189.9MIN: 57.16 / MAX: 200.8MIN: 63.93 / MAX: 233.22MIN: 69.5 / MAX: 241.03MIN: 74.04 / MAX: 240.86MIN: 74.1 / MAX: 238.95MIN: 77.63 / MAX: 233.82MIN: 77.76 / MAX: 285.64MIN: 88.05 / MAX: 273.02MIN: 92.76 / MAX: 272.061. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 102.61 / Avg: 102.72 / Max: 102.89Min: 131.66 / Avg: 131.94 / Max: 132.14Min: 80.02 / Avg: 80.09 / Max: 80.22Min: 86.41 / Avg: 86.48 / Max: 86.55Min: 97.82 / Avg: 97.93 / Max: 98.1Min: 104.91 / Avg: 105.06 / Max: 105.19Min: 110.47 / Avg: 110.59 / Max: 110.67Min: 110.37 / Avg: 110.9 / Max: 111.62Min: 113.18 / Avg: 113.75 / Max: 114.04Min: 117.21 / Avg: 117.34 / Max: 117.54Min: 128.16 / Avg: 128.47 / Max: 128.88Min: 132.73 / Avg: 133.14 / Max: 133.411. (CC) gcc options: -pthread

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X110M220M330M440M550MSE +/- 345078.13, N = 3SE +/- 667086.01, N = 3SE +/- 209117.75, N = 3SE +/- 776522.58, N = 3SE +/- 140508.36, N = 3SE +/- 821909.63, N = 3SE +/- 425188.38, N = 3SE +/- 3810394.29, N = 3SE +/- 265333.27, N = 3SE +/- 648578.86, N = 3SE +/- 1730487.00, N = 3SE +/- 6320318.74, N = 3481073602.70511718743.40322438360.17344830613.40390856008.08406360022.76401445819.03385672695.95406108737.68509667296.91517301573.26535283139.781. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X90M180M270M360M450MMin: 480414622.32 / Avg: 481073602.7 / Max: 481580703.12Min: 510397230.92 / Avg: 511718743.4 / Max: 512538291.31Min: 322137574.55 / Avg: 322438360.17 / Max: 322840420.84Min: 343993771.67 / Avg: 344830613.4 / Max: 346382054.08Min: 390575108.12 / Avg: 390856008.08 / Max: 391003472.69Min: 405259325.91 / Avg: 406360022.76 / Max: 407967705.63Min: 400602356.14 / Avg: 401445819.03 / Max: 401961269.42Min: 378051925.06 / Avg: 385672695.95 / Max: 389497301.13Min: 405579047.72 / Avg: 406108737.68 / Max: 406401451.13Min: 508452223.95 / Avg: 509667296.91 / Max: 510668104.13Min: 514599910.47 / Avg: 517301573.26 / Max: 520525775.78Min: 523014509.79 / Avg: 535283139.78 / Max: 544053706.981. (CC) gcc options: -O3 -march=native -lm

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3140134204189158150158153153126123123
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 157 / Avg: 157.67 / Max: 158Min: 149 / Avg: 150 / Max: 151Min: 153 / Avg: 153.33 / Max: 154Min: 123 / Avg: 123.33 / Max: 124

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 1.02, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.44, N = 3SE +/- 0.55, N = 3SE +/- 0.58, N = 3SE +/- 0.54, N = 3SE +/- 0.80, N = 3SE +/- 0.12, N = 3SE +/- 0.47, N = 3SE +/- 0.57, N = 3SE +/- 0.77, N = 3153.24163.68114.18125.80148.98155.62151.42152.93152.15185.20188.92187.721. chrome 86.0.4240.75
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 151.43 / Avg: 153.24 / Max: 154.95Min: 162.77 / Avg: 163.68 / Max: 164.75Min: 113.69 / Avg: 114.18 / Max: 114.81Min: 125.05 / Avg: 125.8 / Max: 126.58Min: 148.17 / Avg: 148.98 / Max: 150.03Min: 154.52 / Avg: 155.62 / Max: 156.48Min: 150.35 / Avg: 151.42 / Max: 152.04Min: 151.85 / Avg: 152.93 / Max: 154.49Min: 151.91 / Avg: 152.15 / Max: 152.32Min: 184.52 / Avg: 185.2 / Max: 186.1Min: 187.79 / Avg: 188.92 / Max: 189.58Min: 186.21 / Avg: 187.72 / Max: 188.711. chrome 86.0.4240.75

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.50, N = 3SE +/- 0.79, N = 3SE +/- 0.04, N = 3SE +/- 0.34, N = 3SE +/- 0.03, N = 3SE +/- 0.53, N = 3SE +/- 0.17, N = 370.2866.3794.1288.0172.0969.1971.6268.8969.7058.1457.3657.721. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 70.09 / Avg: 70.28 / Max: 70.45Min: 66.19 / Avg: 66.37 / Max: 66.73Min: 94.09 / Avg: 94.12 / Max: 94.14Min: 87.78 / Avg: 88.01 / Max: 88.14Min: 71.55 / Avg: 72.09 / Max: 72.61Min: 68.2 / Avg: 69.19 / Max: 69.71Min: 70.29 / Avg: 71.62 / Max: 73.01Min: 68.85 / Avg: 68.89 / Max: 68.96Min: 69.28 / Avg: 69.7 / Max: 70.37Min: 58.09 / Avg: 58.14 / Max: 58.21Min: 56.33 / Avg: 57.35 / Max: 58.1Min: 57.4 / Avg: 57.72 / Max: 57.991. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 1.07, N = 3SE +/- 0.83, N = 3SE +/- 0.24, N = 3SE +/- 0.87, N = 3SE +/- 0.24, N = 3SE +/- 1.07, N = 3SE +/- 0.37, N = 3SE +/- 0.88, N = 15SE +/- 1.56, N = 12SE +/- 0.77, N = 691.9083.89104.3199.3187.0980.9481.1079.7679.9370.5666.7463.861. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 91.82 / Avg: 91.9 / Max: 91.99Min: 83.81 / Avg: 83.89 / Max: 83.99Min: 103.14 / Avg: 104.31 / Max: 106.45Min: 98 / Avg: 99.31 / Max: 100.86Min: 86.66 / Avg: 87.09 / Max: 87.5Min: 80 / Avg: 80.94 / Max: 82.68Min: 80.64 / Avg: 81.1 / Max: 81.42Min: 77.65 / Avg: 79.76 / Max: 81.13Min: 79.4 / Avg: 79.92 / Max: 80.63Min: 66.71 / Avg: 70.56 / Max: 76.15Min: 61.14 / Avg: 66.74 / Max: 81.24Min: 62.27 / Avg: 63.86 / Max: 66.631. (CXX) g++ options: -O2 -lOpenCL

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 360.9353.6774.6568.6163.4157.8454.3453.5152.3953.2945.8546.341. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1428425670Min: 60.92 / Avg: 60.93 / Max: 60.94Min: 53.66 / Avg: 53.67 / Max: 53.69Min: 74.61 / Avg: 74.65 / Max: 74.72Min: 68.55 / Avg: 68.61 / Max: 68.64Min: 63.35 / Avg: 63.41 / Max: 63.49Min: 57.74 / Avg: 57.84 / Max: 57.91Min: 54.27 / Avg: 54.34 / Max: 54.39Min: 53.41 / Avg: 53.51 / Max: 53.58Min: 52.36 / Avg: 52.39 / Max: 52.45Min: 53.28 / Avg: 53.29 / Max: 53.3Min: 45.83 / Avg: 45.85 / Max: 45.89Min: 46.14 / Avg: 46.34 / Max: 46.461. RawTherapee, version 5.8, command line.

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3K6K9K12K15KSE +/- 9.56, N = 3SE +/- 18.50, N = 3SE +/- 7.55, N = 3SE +/- 27.57, N = 3SE +/- 13.28, N = 3SE +/- 21.12, N = 3SE +/- 27.76, N = 3SE +/- 32.32, N = 3SE +/- 23.94, N = 3SE +/- 62.37, N = 3SE +/- 62.90, N = 3SE +/- 40.83, N = 310868.210815.89570.99986.411552.011505.511595.211473.911474.915561.014645.414032.51. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3K6K9K12K15KMin: 10853.8 / Avg: 10868.2 / Max: 10886.3Min: 10795.8 / Avg: 10815.83 / Max: 10852.8Min: 9556.5 / Avg: 9570.93 / Max: 9582Min: 9931.8 / Avg: 9986.37 / Max: 10020.5Min: 11538.4 / Avg: 11552.03 / Max: 11578.6Min: 11477.5 / Avg: 11505.5 / Max: 11546.9Min: 11544.4 / Avg: 11595.17 / Max: 11640Min: 11437.6 / Avg: 11473.93 / Max: 11538.4Min: 11438.6 / Avg: 11474.93 / Max: 11520.1Min: 15472 / Avg: 15561 / Max: 15681.2Min: 14528.5 / Avg: 14645.43 / Max: 14744.1Min: 13957.4 / Avg: 14032.5 / Max: 14097.81. (CXX) g++ options: -rdynamic

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 4.28, N = 3SE +/- 3.99, N = 3SE +/- 4.02, N = 3SE +/- 3.45, N = 3SE +/- 1.07, N = 3SE +/- 2.82, N = 3SE +/- 6.66, N = 3SE +/- 3.42, N = 3SE +/- 2.40, N = 3SE +/- 0.93, N = 3SE +/- 4.52, N = 3SE +/- 3.47, N = 3757.0754.9953.1878.4721.3686.9715.3705.8700.5606.8589.9590.11. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000Min: 750.8 / Avg: 757 / Max: 765.2Min: 747.2 / Avg: 754.87 / Max: 760.6Min: 946.4 / Avg: 953.1 / Max: 960.3Min: 871.5 / Avg: 878.37 / Max: 882.4Min: 719.5 / Avg: 721.3 / Max: 723.2Min: 681.3 / Avg: 686.93 / Max: 689.9Min: 703.3 / Avg: 715.3 / Max: 726.3Min: 701.3 / Avg: 705.8 / Max: 712.5Min: 695.7 / Avg: 700.47 / Max: 703.4Min: 605 / Avg: 606.83 / Max: 608Min: 581.2 / Avg: 589.87 / Max: 596.4Min: 584.2 / Avg: 590.07 / Max: 596.21. chrome 86.0.4240.75

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 36.936.7410.308.717.537.198.128.018.107.216.386.42
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.93 / Avg: 6.93 / Max: 6.94Min: 6.73 / Avg: 6.74 / Max: 6.75Min: 10.2 / Avg: 10.27 / Max: 10.3Min: 8.69 / Avg: 8.71 / Max: 8.74Min: 7.52 / Avg: 7.53 / Max: 7.54Min: 7.1 / Avg: 7.19 / Max: 7.25Min: 8.1 / Avg: 8.12 / Max: 8.15Min: 7.97 / Avg: 8.01 / Max: 8.07Min: 8.09 / Avg: 8.1 / Max: 8.12Min: 7.07 / Avg: 7.21 / Max: 7.31Min: 6.37 / Avg: 6.38 / Max: 6.39Min: 6.38 / Avg: 6.42 / Max: 6.47

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 1.67, N = 3SE +/- 9.53, N = 3SE +/- 2.96, N = 3SE +/- 1.86, N = 3SE +/- 5.81, N = 3SE +/- 14.81, N = 3SE +/- 3.48, N = 3SE +/- 11.59, N = 3SE +/- 1.15, N = 3SE +/- 6.36, N = 3SE +/- 4.04, N = 382077311591062888871888866876739730718
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000Min: 818 / Avg: 819.67 / Max: 823Min: 1145 / Avg: 1158.67 / Max: 1177Min: 1056 / Avg: 1061.67 / Max: 1066Min: 886 / Avg: 888.33 / Max: 892Min: 862 / Avg: 871.33 / Max: 882Min: 860 / Avg: 888.33 / Max: 910Min: 860 / Avg: 865.67 / Max: 872Min: 862 / Avg: 876 / Max: 899Min: 737 / Avg: 739 / Max: 741Min: 719 / Avg: 730.33 / Max: 741Min: 710 / Avg: 718 / Max: 723

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X9001800270036004500SE +/- 43.74, N = 20SE +/- 51.94, N = 20SE +/- 40.19, N = 9SE +/- 38.38, N = 4SE +/- 37.27, N = 4SE +/- 25.42, N = 20SE +/- 39.66, N = 4SE +/- 36.35, N = 4SE +/- 29.31, N = 4SE +/- 29.79, N = 4SE +/- 12.57, N = 4277827474061355930902908313030503255251926562712
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X7001400210028003500Min: 2413 / Avg: 2777.7 / Max: 3077Min: 2389 / Avg: 2747.2 / Max: 3290Min: 3876 / Avg: 4061.44 / Max: 4280Min: 3491 / Avg: 3559.25 / Max: 3669Min: 3003 / Avg: 3089.5 / Max: 3163Min: 2713 / Avg: 2908.05 / Max: 3195Min: 3040 / Avg: 3129.5 / Max: 3204Min: 3163 / Avg: 3254.5 / Max: 3338Min: 2446 / Avg: 2519.25 / Max: 2570Min: 2581 / Avg: 2656 / Max: 2711Min: 2677 / Avg: 2711.75 / Max: 2733

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 320.3519.1729.1426.8222.6221.7523.0723.0022.7418.1119.3819.35
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430Min: 20.32 / Avg: 20.35 / Max: 20.37Min: 19.14 / Avg: 19.17 / Max: 19.24Min: 29.05 / Avg: 29.14 / Max: 29.29Min: 26.67 / Avg: 26.82 / Max: 26.91Min: 22.54 / Avg: 22.62 / Max: 22.76Min: 21.61 / Avg: 21.75 / Max: 22.02Min: 22.93 / Avg: 23.07 / Max: 23.24Min: 22.98 / Avg: 23 / Max: 23.04Min: 22.66 / Avg: 22.74 / Max: 22.82Min: 18.1 / Avg: 18.11 / Max: 18.13Min: 19.18 / Avg: 19.38 / Max: 19.52Min: 19.12 / Avg: 19.35 / Max: 19.59

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X100200300400500SE +/- 0.19, N = 3SE +/- 3.03, N = 3SE +/- 2.09, N = 3SE +/- 4.23, N = 3SE +/- 1.70, N = 3SE +/- 1.95, N = 3SE +/- 5.47, N = 3SE +/- 2.91, N = 3SE +/- 0.71, N = 3SE +/- 0.37, N = 3SE +/- 4.99, N = 3SE +/- 4.25, N = 3450.8419.1468.8438.5367.7347.7369.6360.7362.2306.9291.4297.71. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X80160240320400Min: 450.4 / Avg: 450.77 / Max: 451Min: 416 / Avg: 419.13 / Max: 425.2Min: 465 / Avg: 468.77 / Max: 472.2Min: 432.4 / Avg: 438.47 / Max: 446.6Min: 364.3 / Avg: 367.67 / Max: 369.8Min: 345.7 / Avg: 347.7 / Max: 351.6Min: 360.5 / Avg: 369.57 / Max: 379.4Min: 355 / Avg: 360.7 / Max: 364.6Min: 360.9 / Avg: 362.23 / Max: 363.3Min: 306.4 / Avg: 306.87 / Max: 307.6Min: 282.1 / Avg: 291.4 / Max: 299.2Min: 289.3 / Avg: 297.73 / Max: 302.81. firefox 81.0

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 315.4515.0820.2318.7615.6215.0415.2614.8615.6413.2612.6312.761. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 15.36 / Avg: 15.45 / Max: 15.51Min: 15.06 / Avg: 15.08 / Max: 15.11Min: 19.89 / Avg: 20.23 / Max: 20.41Min: 18.62 / Avg: 18.76 / Max: 18.98Min: 15.56 / Avg: 15.62 / Max: 15.73Min: 14.77 / Avg: 15.04 / Max: 15.2Min: 15.07 / Avg: 15.26 / Max: 15.51Min: 14.81 / Avg: 14.85 / Max: 14.89Min: 15.49 / Avg: 15.64 / Max: 15.87Min: 13.03 / Avg: 13.26 / Max: 13.46Min: 12.35 / Avg: 12.63 / Max: 12.96Min: 12.57 / Avg: 12.76 / Max: 12.961. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.017, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.040, N = 3SE +/- 0.031, N = 3SE +/- 0.076, N = 3SE +/- 0.110, N = 3SE +/- 0.097, N = 3SE +/- 0.054, N = 3SE +/- 0.003, N = 3SE +/- 0.027, N = 3SE +/- 0.014, N = 37.3976.9668.8128.2137.0676.6587.0816.9646.8945.7375.6215.5621. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 7.37 / Avg: 7.4 / Max: 7.43Min: 6.96 / Avg: 6.97 / Max: 6.97Min: 8.8 / Avg: 8.81 / Max: 8.83Min: 8.15 / Avg: 8.21 / Max: 8.29Min: 7.02 / Avg: 7.07 / Max: 7.12Min: 6.58 / Avg: 6.66 / Max: 6.81Min: 6.87 / Avg: 7.08 / Max: 7.24Min: 6.77 / Avg: 6.96 / Max: 7.08Min: 6.83 / Avg: 6.89 / Max: 7Min: 5.73 / Avg: 5.74 / Max: 5.74Min: 5.58 / Avg: 5.62 / Max: 5.67Min: 5.54 / Avg: 5.56 / Max: 5.591. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X30K60K90K120K150KSE +/- 179.78, N = 3SE +/- 271.18, N = 3SE +/- 104.94, N = 3SE +/- 105.66, N = 3SE +/- 328.34, N = 3SE +/- 989.81, N = 8SE +/- 97.95, N = 3SE +/- 46.94, N = 3SE +/- 37.78, N = 3SE +/- 89.09, N = 3SE +/- 478.94, N = 3SE +/- 473.56, N = 3895847531311747010834497587961291073561058031056177425478347809241. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20K40K60K80K100KMin: 89393 / Avg: 89583.67 / Max: 89943Min: 74772 / Avg: 75312.67 / Max: 75620Min: 117274 / Avg: 117470 / Max: 117633Min: 108160 / Avg: 108344 / Max: 108526Min: 96931 / Avg: 97587 / Max: 97941Min: 94688 / Avg: 96129.38 / Max: 103031Min: 107245 / Avg: 107355.67 / Max: 107551Min: 105718 / Avg: 105803 / Max: 105880Min: 105548 / Avg: 105617.33 / Max: 105678Min: 74077 / Avg: 74254.33 / Max: 74358Min: 77422 / Avg: 78347 / Max: 79025Min: 79992 / Avg: 80924 / Max: 815361. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.12, N = 4SE +/- 0.14, N = 4SE +/- 0.27, N = 4SE +/- 0.12, N = 4SE +/- 0.06, N = 4SE +/- 0.11, N = 4SE +/- 0.14, N = 4SE +/- 0.38, N = 4SE +/- 0.11, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 4SE +/- 0.06, N = 426.7725.3033.3830.8327.4826.0826.8126.7126.6821.6521.3221.461. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 26.45 / Avg: 26.77 / Max: 26.97Min: 24.89 / Avg: 25.3 / Max: 25.47Min: 32.95 / Avg: 33.38 / Max: 34.18Min: 30.55 / Avg: 30.83 / Max: 31.06Min: 27.33 / Avg: 27.48 / Max: 27.57Min: 25.91 / Avg: 26.08 / Max: 26.4Min: 26.58 / Avg: 26.81 / Max: 27.22Min: 25.81 / Avg: 26.71 / Max: 27.48Min: 26.33 / Avg: 26.68 / Max: 26.81Min: 21.46 / Avg: 21.65 / Max: 21.85Min: 21.08 / Avg: 21.32 / Max: 21.48Min: 21.35 / Avg: 21.46 / Max: 21.571. (CC) gcc options: -O2 -std=c99

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.019, N = 3SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.008, N = 3SE +/- 0.054, N = 3SE +/- 0.005, N = 3SE +/- 0.012, N = 3SE +/- 0.024, N = 35.4344.5386.6436.1535.3224.7334.6164.5864.4534.8644.2644.2581. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 5.41 / Avg: 5.43 / Max: 5.46Min: 4.52 / Avg: 4.54 / Max: 4.56Min: 6.62 / Avg: 6.64 / Max: 6.68Min: 6.12 / Avg: 6.15 / Max: 6.18Min: 5.31 / Avg: 5.32 / Max: 5.33Min: 4.7 / Avg: 4.73 / Max: 4.76Min: 4.58 / Avg: 4.62 / Max: 4.66Min: 4.57 / Avg: 4.59 / Max: 4.6Min: 4.35 / Avg: 4.45 / Max: 4.52Min: 4.85 / Avg: 4.86 / Max: 4.87Min: 4.25 / Avg: 4.26 / Max: 4.29Min: 4.21 / Avg: 4.26 / Max: 4.291. (CXX) g++ options: -O3 -fPIC

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.025, N = 3SE +/- 0.078, N = 3SE +/- 0.067, N = 3SE +/- 0.056, N = 3SE +/- 0.087, N = 5SE +/- 0.002, N = 3SE +/- 0.033, N = 3SE +/- 0.019, N = 36.3876.0248.2907.7536.9166.5676.8046.5556.7485.4545.3405.3341. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.38 / Avg: 6.39 / Max: 6.39Min: 6 / Avg: 6.02 / Max: 6.05Min: 8.28 / Avg: 8.29 / Max: 8.3Min: 7.74 / Avg: 7.75 / Max: 7.77Min: 6.87 / Avg: 6.92 / Max: 6.95Min: 6.44 / Avg: 6.57 / Max: 6.71Min: 6.74 / Avg: 6.8 / Max: 6.94Min: 6.44 / Avg: 6.56 / Max: 6.62Min: 6.47 / Avg: 6.75 / Max: 6.93Min: 5.45 / Avg: 5.45 / Max: 5.46Min: 5.28 / Avg: 5.34 / Max: 5.38Min: 5.3 / Avg: 5.33 / Max: 5.371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.00020.00040.00060.00080.001SE +/- 0.00000106, N = 3SE +/- 0.00000313, N = 3SE +/- 0.00000511, N = 3SE +/- 0.00000413, N = 3SE +/- 0.00000757, N = 3SE +/- 0.00001084, N = 3SE +/- 0.00000316, N = 3SE +/- 0.00000610, N = 15SE +/- 0.00000624, N = 13SE +/- 0.00000439, N = 3SE +/- 0.00000408, N = 3SE +/- 0.00001012, N = 30.000732810.000702280.001008300.000884590.000735480.000699960.000749990.000753640.000768620.000686380.000650210.00064973
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X12345Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0

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.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 2SE +/- 0.15, N = 3SE +/- 0.02, N = 314.8913.5619.6618.4017.5716.9216.7016.4817.9112.7113.3214.62MIN: 14.8 / MAX: 16.25MIN: 13.34 / MAX: 23.75MIN: 19.19 / MAX: 72.97MIN: 18.12 / MAX: 32.57MIN: 17.45 / MAX: 19.63MIN: 16.79 / MAX: 26.29MIN: 16.36 / MAX: 72.05MIN: 16.31 / MAX: 28.36MIN: 17.65 / MAX: 28.08MIN: 12.62 / MAX: 13.55MIN: 13.09 / MAX: 14.66MIN: 14.51 / MAX: 15.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 14.87 / Avg: 14.89 / Max: 14.91Min: 13.52 / Avg: 13.56 / Max: 13.59Min: 19.42 / Avg: 19.66 / Max: 20.12Min: 18.26 / Avg: 18.4 / Max: 18.58Min: 17.54 / Avg: 17.57 / Max: 17.58Min: 16.9 / Avg: 16.92 / Max: 16.96Min: 16.56 / Avg: 16.7 / Max: 16.95Min: 16.43 / Avg: 16.48 / Max: 16.51Min: 17.78 / Avg: 17.91 / Max: 18.07Min: 12.7 / Avg: 12.71 / Max: 12.71Min: 13.17 / Avg: 13.32 / Max: 13.62Min: 14.6 / Avg: 14.62 / Max: 14.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.19, N = 3SE +/- 1.00, N = 3SE +/- 0.34, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.32, N = 3SE +/- 0.37, N = 3SE +/- 0.51, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 364.0778.0276.0969.0657.7061.2465.3765.5863.2350.5058.4059.65
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1530456075Min: 63.86 / Avg: 64.07 / Max: 64.45Min: 77.02 / Avg: 78.02 / Max: 80.01Min: 75.68 / Avg: 76.09 / Max: 76.76Min: 68.34 / Avg: 69.06 / Max: 69.92Min: 57.5 / Avg: 57.7 / Max: 57.97Min: 60.87 / Avg: 61.24 / Max: 61.74Min: 65.04 / Avg: 65.37 / Max: 66.02Min: 64.86 / Avg: 65.58 / Max: 66.08Min: 62.49 / Avg: 63.23 / Max: 64.2Min: 50.21 / Avg: 50.5 / Max: 50.8Min: 58.2 / Avg: 58.4 / Max: 58.6Min: 59.43 / Avg: 59.65 / Max: 59.89

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.093, N = 15SE +/- 0.014, N = 3SE +/- 0.008, N = 3SE +/- 0.026, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.019, N = 3SE +/- 0.031, N = 3SE +/- 0.018, N = 3SE +/- 0.023, N = 3SE +/- 0.007, N = 3SE +/- 0.026, N = 311.20310.44214.81213.45311.59011.23911.91611.87612.2509.5939.91510.314
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 11 / Avg: 11.2 / Max: 11.93Min: 10.42 / Avg: 10.44 / Max: 10.47Min: 14.8 / Avg: 14.81 / Max: 14.83Min: 13.4 / Avg: 13.45 / Max: 13.49Min: 11.58 / Avg: 11.59 / Max: 11.6Min: 11.23 / Avg: 11.24 / Max: 11.26Min: 11.89 / Avg: 11.92 / Max: 11.95Min: 11.84 / Avg: 11.88 / Max: 11.94Min: 12.21 / Avg: 12.25 / Max: 12.27Min: 9.57 / Avg: 9.59 / Max: 9.64Min: 9.9 / Avg: 9.91 / Max: 9.92Min: 10.26 / Avg: 10.31 / Max: 10.35

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.009, N = 3SE +/- 0.022, N = 3SE +/- 0.047, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 3SE +/- 0.026, N = 3SE +/- 0.004, N = 3SE +/- 0.076, N = 3SE +/- 0.069, N = 3SE +/- 0.007, N = 3SE +/- 0.036, N = 3SE +/- 0.033, N = 310.81810.40414.22012.83811.13010.81111.14511.11611.2659.2249.3209.431
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X48121620Min: 10.8 / Avg: 10.82 / Max: 10.83Min: 10.38 / Avg: 10.4 / Max: 10.45Min: 14.15 / Avg: 14.22 / Max: 14.31Min: 12.83 / Avg: 12.84 / Max: 12.84Min: 11.1 / Avg: 11.13 / Max: 11.15Min: 10.78 / Avg: 10.81 / Max: 10.86Min: 11.14 / Avg: 11.14 / Max: 11.15Min: 10.97 / Avg: 11.12 / Max: 11.23Min: 11.13 / Avg: 11.27 / Max: 11.34Min: 9.22 / Avg: 9.22 / Max: 9.24Min: 9.26 / Avg: 9.32 / Max: 9.38Min: 9.36 / Avg: 9.43 / Max: 9.46

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.031, N = 5SE +/- 0.012, N = 5SE +/- 0.023, N = 5SE +/- 0.019, N = 5SE +/- 0.020, N = 5SE +/- 0.057, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.045, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.034, N = 56.1905.8977.9277.5206.5736.4846.7556.5956.4695.2065.1935.180
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.16 / Avg: 6.19 / Max: 6.31Min: 5.87 / Avg: 5.9 / Max: 5.94Min: 7.88 / Avg: 7.93 / Max: 8Min: 7.47 / Avg: 7.52 / Max: 7.59Min: 6.52 / Avg: 6.57 / Max: 6.63Min: 6.35 / Avg: 6.48 / Max: 6.69Min: 6.67 / Avg: 6.75 / Max: 6.84Min: 6.44 / Avg: 6.6 / Max: 6.72Min: 6.31 / Avg: 6.47 / Max: 6.57Min: 5.15 / Avg: 5.21 / Max: 5.33Min: 5.05 / Avg: 5.19 / Max: 5.34Min: 5.08 / Avg: 5.18 / Max: 5.29

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.017, N = 5SE +/- 0.014, N = 5SE +/- 0.007, N = 5SE +/- 0.016, N = 5SE +/- 0.016, N = 5SE +/- 0.028, N = 5SE +/- 0.039, N = 5SE +/- 0.034, N = 5SE +/- 0.026, N = 5SE +/- 0.002, N = 5SE +/- 0.033, N = 5SE +/- 0.038, N = 57.5877.1739.7489.1247.6957.3407.5797.5387.4556.5986.4406.3731. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 7.55 / Avg: 7.59 / Max: 7.63Min: 7.15 / Avg: 7.17 / Max: 7.22Min: 9.72 / Avg: 9.75 / Max: 9.76Min: 9.1 / Avg: 9.12 / Max: 9.19Min: 7.67 / Avg: 7.69 / Max: 7.76Min: 7.26 / Avg: 7.34 / Max: 7.43Min: 7.46 / Avg: 7.58 / Max: 7.66Min: 7.44 / Avg: 7.54 / Max: 7.63Min: 7.39 / Avg: 7.45 / Max: 7.53Min: 6.6 / Avg: 6.6 / Max: 6.6Min: 6.33 / Avg: 6.44 / Max: 6.52Min: 6.23 / Avg: 6.37 / Max: 6.451. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.58971.17941.76912.35882.9485SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.016, N = 3SE +/- 0.023, N = 3SE +/- 0.015, N = 3SE +/- 0.029, N = 3SE +/- 0.001, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 32.1152.0092.6212.4422.1892.0992.1752.0882.1611.8211.7431.7291. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 2.11 / Avg: 2.12 / Max: 2.12Min: 1.99 / Avg: 2.01 / Max: 2.02Min: 2.62 / Avg: 2.62 / Max: 2.62Min: 2.43 / Avg: 2.44 / Max: 2.47Min: 2.19 / Avg: 2.19 / Max: 2.19Min: 2.08 / Avg: 2.1 / Max: 2.13Min: 2.13 / Avg: 2.18 / Max: 2.21Min: 2.06 / Avg: 2.09 / Max: 2.1Min: 2.1 / Avg: 2.16 / Max: 2.2Min: 1.82 / Avg: 1.82 / Max: 1.82Min: 1.73 / Avg: 1.74 / Max: 1.75Min: 1.71 / Avg: 1.73 / Max: 1.761. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60K120K180K240K300KSE +/- 166.99, N = 3SE +/- 174.69, N = 3SE +/- 384.97, N = 3SE +/- 584.46, N = 3SE +/- 1054.43, N = 3SE +/- 142.32, N = 3SE +/- 477.83, N = 3SE +/- 462.71, N = 3SE +/- 702.33, N = 3SE +/- 166.56, N = 3SE +/- 437.17, N = 3SE +/- 392.51, N = 32316831960742936832691132379082344402627382589722651311937362006762142391. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50K100K150K200K250KMin: 231479 / Avg: 231683 / Max: 232014Min: 195812 / Avg: 196073.67 / Max: 196405Min: 292933 / Avg: 293683.33 / Max: 294208Min: 268060 / Avg: 269113 / Max: 270079Min: 236225 / Avg: 237908 / Max: 239850Min: 234219 / Avg: 234440.33 / Max: 234706Min: 262077 / Avg: 262737.67 / Max: 263666Min: 258200 / Avg: 258972.33 / Max: 259800Min: 263790 / Avg: 265130.67 / Max: 266164Min: 193485 / Avg: 193735.67 / Max: 194051Min: 199929 / Avg: 200676 / Max: 201443Min: 213742 / Avg: 214239.33 / Max: 2150141. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.014, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.027, N = 3SE +/- 0.020, N = 3SE +/- 0.060, N = 3SE +/- 0.023, N = 3SE +/- 0.011, N = 3SE +/- 0.015, N = 3SE +/- 0.019, N = 35.1024.3796.2525.8204.9704.4564.3954.3364.3054.5744.1384.1331. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 5.08 / Avg: 5.1 / Max: 5.12Min: 4.35 / Avg: 4.38 / Max: 4.41Min: 6.24 / Avg: 6.25 / Max: 6.26Min: 5.81 / Avg: 5.82 / Max: 5.83Min: 4.96 / Avg: 4.97 / Max: 4.98Min: 4.42 / Avg: 4.46 / Max: 4.51Min: 4.37 / Avg: 4.4 / Max: 4.44Min: 4.27 / Avg: 4.34 / Max: 4.46Min: 4.26 / Avg: 4.31 / Max: 4.33Min: 4.56 / Avg: 4.57 / Max: 4.6Min: 4.11 / Avg: 4.14 / Max: 4.16Min: 4.1 / Avg: 4.13 / Max: 4.161. (CXX) g++ options: -O3 -fPIC

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1.2692.5383.8075.0766.345SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.045.644.534.544.905.063.893.993.864.513.733.851. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 4.03 / Avg: 4.04 / Max: 4.05Min: 5.63 / Avg: 5.64 / Max: 5.65Min: 4.52 / Avg: 4.53 / Max: 4.54Min: 4.53 / Avg: 4.54 / Max: 4.54Min: 4.89 / Avg: 4.9 / Max: 4.91Min: 5.05 / Avg: 5.06 / Max: 5.06Min: 3.88 / Avg: 3.89 / Max: 3.9Min: 3.98 / Avg: 3.99 / Max: 3.99Min: 3.86 / Avg: 3.86 / Max: 3.87Min: 4.51 / Avg: 4.51 / Max: 4.52Min: 3.71 / Avg: 3.73 / Max: 3.74Min: 3.81 / Avg: 3.85 / Max: 3.861. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.38880.77761.16641.55521.944SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 31.3741.2941.7281.6151.4341.3671.4141.3651.3691.1771.1531.1451. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 1.37 / Avg: 1.37 / Max: 1.38Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.73 / Avg: 1.73 / Max: 1.73Min: 1.61 / Avg: 1.62 / Max: 1.62Min: 1.42 / Avg: 1.43 / Max: 1.44Min: 1.36 / Avg: 1.37 / Max: 1.38Min: 1.39 / Avg: 1.41 / Max: 1.43Min: 1.36 / Avg: 1.37 / Max: 1.37Min: 1.36 / Avg: 1.37 / Max: 1.38Min: 1.18 / Avg: 1.18 / Max: 1.18Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 1.13 / Avg: 1.15 / Max: 1.151. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X8K16K24K32K40KSE +/- 77.79, N = 3SE +/- 25.33, N = 3SE +/- 347.09, N = 12SE +/- 103.15, N = 3SE +/- 18.52, N = 3SE +/- 29.41, N = 3SE +/- 29.89, N = 3SE +/- 98.83, N = 3SE +/- 34.63, N = 3SE +/- 32.74, N = 3SE +/- 18.60, N = 3SE +/- 39.63, N = 334083.3725630.0131041.6532899.6934238.2337466.4836851.9035670.0138565.5336604.3637925.6236137.491. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X7K14K21K28K35KMin: 33946.15 / Avg: 34083.37 / Max: 34215.49Min: 25580.24 / Avg: 25630.01 / Max: 25663.08Min: 27362.94 / Avg: 31041.65 / Max: 31788.85Min: 32693.79 / Avg: 32899.69 / Max: 33013.79Min: 34211.41 / Avg: 34238.23 / Max: 34273.76Min: 37410.5 / Avg: 37466.48 / Max: 37510.08Min: 36800.26 / Avg: 36851.9 / Max: 36903.79Min: 35474.9 / Avg: 35670.01 / Max: 35795Min: 38496.47 / Avg: 38565.53 / Max: 38604.6Min: 36557.3 / Avg: 36604.36 / Max: 36667.33Min: 37889.99 / Avg: 37925.62 / Max: 37952.68Min: 36069.22 / Avg: 36137.49 / Max: 36206.511. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 317.1316.4019.2818.0316.1515.3816.1315.6415.5713.1412.8412.82
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 17.09 / Avg: 17.13 / Max: 17.16Min: 16.28 / Avg: 16.4 / Max: 16.6Min: 19.16 / Avg: 19.28 / Max: 19.4Min: 17.85 / Avg: 18.03 / Max: 18.14Min: 16.05 / Avg: 16.15 / Max: 16.32Min: 15.32 / Avg: 15.38 / Max: 15.42Min: 15.7 / Avg: 16.13 / Max: 16.38Min: 15.31 / Avg: 15.64 / Max: 15.96Min: 15.28 / Avg: 15.57 / Max: 15.79Min: 13.12 / Avg: 13.14 / Max: 13.15Min: 12.74 / Avg: 12.84 / Max: 12.93Min: 12.78 / Avg: 12.82 / Max: 12.9

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.67, N = 3SE +/- 2.00, N = 3SE +/- 4.79, N = 15178150204180190156190177175148148136
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 177 / Avg: 178.33 / Max: 179Min: 146 / Avg: 150 / Max: 152Min: 152 / Avg: 177.33 / Max: 190

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X12M24M36M48M60MSE +/- 24227.92, N = 3SE +/- 574257.00, N = 3SE +/- 223179.51, N = 3SE +/- 314239.01, N = 3SE +/- 415561.11, N = 3SE +/- 523372.80, N = 3SE +/- 438932.99, N = 3SE +/- 566907.60, N = 3SE +/- 529964.65, N = 5SE +/- 138240.46, N = 3SE +/- 501860.59, N = 3SE +/- 250264.91, N = 347964784.252005432.937514301.840472566.043647479.344883700.944081890.744714220.644123395.754945549.955937330.156105538.1
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X10M20M30M40M50MMin: 47916491.8 / Avg: 47964784.2 / Max: 47992374.1Min: 50859809 / Avg: 52005432.93 / Max: 52648762Min: 37068588.7 / Avg: 37514301.77 / Max: 37757947.1Min: 39897965.8 / Avg: 40472566 / Max: 40980352.9Min: 42865302.1 / Avg: 43647479.3 / Max: 44281924.1Min: 43837468.3 / Avg: 44883700.87 / Max: 45435195.6Min: 43608204.8 / Avg: 44081890.67 / Max: 44958813.9Min: 43940296.2 / Avg: 44714220.57 / Max: 45818771.4Min: 42120927.5 / Avg: 44123395.74 / Max: 45192923Min: 54712808.9 / Avg: 54945549.9 / Max: 55191168.2Min: 55169822.1 / Avg: 55937330.1 / Max: 56881254.4Min: 55607205 / Avg: 56105538.1 / Max: 56395271.5

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 317.3516.0523.4221.7618.6617.7718.2018.2718.3316.2715.9715.741. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 17.22 / Avg: 17.35 / Max: 17.52Min: 15.73 / Avg: 16.05 / Max: 16.21Min: 23.39 / Avg: 23.41 / Max: 23.47Min: 21.59 / Avg: 21.76 / Max: 21.87Min: 18.48 / Avg: 18.66 / Max: 18.83Min: 17.51 / Avg: 17.77 / Max: 18.08Min: 18.15 / Avg: 18.2 / Max: 18.23Min: 17.97 / Avg: 18.27 / Max: 18.79Min: 18.12 / Avg: 18.33 / Max: 18.69Min: 16.12 / Avg: 16.27 / Max: 16.45Min: 15.7 / Avg: 15.97 / Max: 16.22Min: 15.46 / Avg: 15.74 / Max: 15.921. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 333.1631.1240.3038.0332.5331.2032.0132.5832.3027.9127.6227.271. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240Min: 33.01 / Avg: 33.16 / Max: 33.27Min: 31.04 / Avg: 31.12 / Max: 31.18Min: 40.29 / Avg: 40.3 / Max: 40.34Min: 37.97 / Avg: 38.03 / Max: 38.14Min: 32.42 / Avg: 32.53 / Max: 32.61Min: 31.09 / Avg: 31.2 / Max: 31.34Min: 31.86 / Avg: 32.01 / Max: 32.13Min: 32.53 / Avg: 32.58 / Max: 32.61Min: 32.11 / Avg: 32.3 / Max: 32.43Min: 27.87 / Avg: 27.91 / Max: 27.96Min: 27.48 / Avg: 27.62 / Max: 27.72Min: 27.25 / Avg: 27.27 / Max: 27.311. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.011, N = 3SE +/- 0.048, N = 3SE +/- 0.032, N = 3SE +/- 0.048, N = 3SE +/- 0.012, N = 3SE +/- 0.034, N = 3SE +/- 0.023, N = 3SE +/- 0.032, N = 3SE +/- 0.013, N = 3SE +/- 0.015, N = 3SE +/- 0.053, N = 3SE +/- 0.032, N = 35.6395.3116.7696.2005.5285.2385.5505.4565.4994.6364.5934.641
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 5.62 / Avg: 5.64 / Max: 5.66Min: 5.22 / Avg: 5.31 / Max: 5.38Min: 6.73 / Avg: 6.77 / Max: 6.83Min: 6.1 / Avg: 6.2 / Max: 6.25Min: 5.51 / Avg: 5.53 / Max: 5.55Min: 5.18 / Avg: 5.24 / Max: 5.3Min: 5.51 / Avg: 5.55 / Max: 5.59Min: 5.4 / Avg: 5.46 / Max: 5.51Min: 5.47 / Avg: 5.5 / Max: 5.51Min: 4.61 / Avg: 4.64 / Max: 4.66Min: 4.53 / Avg: 4.59 / Max: 4.7Min: 4.61 / Avg: 4.64 / Max: 4.7

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.450.91.351.82.252.001.991.821.701.631.551.601.571.591.371.361.36

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.10, N = 3SE +/- 1.85, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.69, N = 3SE +/- 2.65, N = 3SE +/- 2.11, N = 3SE +/- 0.92, N = 3SE +/- 3.26, N = 3SE +/- 0.67, N = 3SE +/- 0.65, N = 3165.10179.16131.78140.76159.39168.24159.96163.05165.36185.18189.65192.121. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 164.89 / Avg: 165.1 / Max: 165.21Min: 175.46 / Avg: 179.16 / Max: 181.07Min: 131.74 / Avg: 131.78 / Max: 131.81Min: 140.3 / Avg: 140.76 / Max: 141.05Min: 159.34 / Avg: 159.39 / Max: 159.45Min: 167.42 / Avg: 168.24 / Max: 169.61Min: 154.69 / Avg: 159.96 / Max: 163.05Min: 158.83 / Avg: 163.05 / Max: 165.3Min: 164.2 / Avg: 165.36 / Max: 167.18Min: 178.66 / Avg: 185.18 / Max: 188.51Min: 188.97 / Avg: 189.65 / Max: 191Min: 191.15 / Avg: 192.12 / Max: 193.361. (CC) gcc options: -lm

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 322.3721.0621.1920.0418.2617.3418.5217.4117.2415.8815.6115.371. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 22.37 / Avg: 22.37 / Max: 22.37Min: 21.03 / Avg: 21.06 / Max: 21.12Min: 21.18 / Avg: 21.19 / Max: 21.21Min: 19.79 / Avg: 20.04 / Max: 20.5Min: 18.12 / Avg: 18.26 / Max: 18.34Min: 17.09 / Avg: 17.34 / Max: 17.48Min: 18.5 / Avg: 18.52 / Max: 18.57Min: 16.99 / Avg: 17.41 / Max: 17.84Min: 17.12 / Avg: 17.24 / Max: 17.3Min: 15.88 / Avg: 15.88 / Max: 15.89Min: 15.57 / Avg: 15.61 / Max: 15.64Min: 15.26 / Avg: 15.37 / Max: 15.471. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X80160240320400SE +/- 0.44, N = 3SE +/- 2.33, N = 3SE +/- 0.32, N = 3SE +/- 0.64, N = 3SE +/- 1.93, N = 3SE +/- 1.54, N = 3SE +/- 4.54, N = 3SE +/- 2.39, N = 3SE +/- 1.69, N = 3SE +/- 0.08, N = 3SE +/- 1.47, N = 3SE +/- 0.81, N = 3368.44340.68360.75334.70285.66270.45280.25270.84280.03260.76253.65254.151. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X70140210280350Min: 367.57 / Avg: 368.44 / Max: 368.92Min: 338.01 / Avg: 340.68 / Max: 345.32Min: 360.38 / Avg: 360.75 / Max: 361.38Min: 333.44 / Avg: 334.7 / Max: 335.42Min: 281.8 / Avg: 285.66 / Max: 287.63Min: 268.72 / Avg: 270.45 / Max: 273.53Min: 274.7 / Avg: 280.25 / Max: 289.24Min: 266.07 / Avg: 270.84 / Max: 273.34Min: 276.69 / Avg: 280.03 / Max: 282.11Min: 260.65 / Avg: 260.76 / Max: 260.92Min: 251.19 / Avg: 253.65 / Max: 256.26Min: 252.97 / Avg: 254.15 / Max: 255.71. chrome 86.0.4240.75

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1530456075SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.52, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 352.5349.2365.3160.6955.2152.4554.6753.6954.0946.1545.0545.05
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1326395265Min: 52.43 / Avg: 52.53 / Max: 52.65Min: 49.04 / Avg: 49.23 / Max: 49.52Min: 65.22 / Avg: 65.31 / Max: 65.47Min: 60.62 / Avg: 60.69 / Max: 60.82Min: 55.08 / Avg: 55.21 / Max: 55.28Min: 52.02 / Avg: 52.45 / Max: 52.89Min: 54.51 / Avg: 54.67 / Max: 54.87Min: 53.3 / Avg: 53.69 / Max: 54Min: 53.07 / Avg: 54.09 / Max: 54.75Min: 46.11 / Avg: 46.15 / Max: 46.19Min: 44.79 / Avg: 45.05 / Max: 45.44Min: 44.98 / Avg: 45.05 / Max: 45.08

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 1.47, N = 4SE +/- 1.49, N = 3SE +/- 0.34, N = 3SE +/- 0.16, N = 3SE +/- 0.64, N = 3SE +/- 1.14, N = 3SE +/- 0.62, N = 3SE +/- 1.43, N = 3SE +/- 0.23, N = 3SE +/- 0.48, N = 3SE +/- 0.95, N = 3SE +/- 0.97, N = 3106.60113.6981.6089.87105.77107.56105.14107.15105.02115.92117.14117.721. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100Min: 102.54 / Avg: 106.6 / Max: 109.49Min: 111.87 / Avg: 113.69 / Max: 116.65Min: 81.05 / Avg: 81.6 / Max: 82.22Min: 89.64 / Avg: 89.87 / Max: 90.19Min: 104.74 / Avg: 105.77 / Max: 106.94Min: 105.86 / Avg: 107.56 / Max: 109.72Min: 104.34 / Avg: 105.14 / Max: 106.37Min: 105.16 / Avg: 107.15 / Max: 109.91Min: 104.6 / Avg: 105.02 / Max: 105.38Min: 115.35 / Avg: 115.92 / Max: 116.88Min: 115.49 / Avg: 117.14 / Max: 118.79Min: 116.59 / Avg: 117.72 / Max: 119.641. firefox 81.0

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 335.1032.3644.1240.6838.5536.4637.4637.1937.2331.9830.8830.85
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645Min: 35.08 / Avg: 35.09 / Max: 35.11Min: 32.15 / Avg: 32.35 / Max: 32.55Min: 44.05 / Avg: 44.12 / Max: 44.18Min: 40.65 / Avg: 40.68 / Max: 40.7Min: 38.49 / Avg: 38.55 / Max: 38.61Min: 36.36 / Avg: 36.46 / Max: 36.54Min: 37.37 / Avg: 37.46 / Max: 37.58Min: 36.9 / Avg: 37.19 / Max: 37.41Min: 37.07 / Avg: 37.23 / Max: 37.35Min: 31.95 / Avg: 31.98 / Max: 32.04Min: 30.85 / Avg: 30.88 / Max: 30.96Min: 30.81 / Avg: 30.85 / Max: 30.88

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.089, N = 3SE +/- 0.094, N = 3SE +/- 0.126, N = 3SE +/- 0.066, N = 3SE +/- 0.080, N = 3SE +/- 0.041, N = 3SE +/- 0.049, N = 3SE +/- 0.092, N = 3SE +/- 0.083, N = 3SE +/- 0.045, N = 3SE +/- 0.098, N = 3SE +/- 0.062, N = 37.6817.4619.6238.7378.0267.7578.0577.9438.0746.7526.7476.842
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215Min: 7.59 / Avg: 7.68 / Max: 7.86Min: 7.27 / Avg: 7.46 / Max: 7.56Min: 9.49 / Avg: 9.62 / Max: 9.87Min: 8.66 / Avg: 8.74 / Max: 8.87Min: 7.93 / Avg: 8.03 / Max: 8.19Min: 7.69 / Avg: 7.76 / Max: 7.83Min: 8.01 / Avg: 8.06 / Max: 8.16Min: 7.85 / Avg: 7.94 / Max: 8.13Min: 7.99 / Avg: 8.07 / Max: 8.24Min: 6.68 / Avg: 6.75 / Max: 6.83Min: 6.62 / Avg: 6.75 / Max: 6.94Min: 6.77 / Avg: 6.84 / Max: 6.97

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 2.60, N = 3SE +/- 2.78, N = 3SE +/- 8.29, N = 3SE +/- 5.26, N = 3SE +/- 2.86, N = 3SE +/- 1.77, N = 3SE +/- 5.46, N = 3SE +/- 2.56, N = 3SE +/- 6.74, N = 3SE +/- 1.57, N = 3SE +/- 1.65, N = 3SE +/- 4.47, N = 3745.5709.4940.0856.8737.2708.1745.9714.9731.0664.5663.0673.11. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X160320480640800Min: 740.4 / Avg: 745.5 / Max: 748.9Min: 704.4 / Avg: 709.43 / Max: 714Min: 925.5 / Avg: 940.03 / Max: 954.2Min: 846.5 / Avg: 856.8 / Max: 863.8Min: 733.9 / Avg: 737.2 / Max: 742.9Min: 704.6 / Avg: 708.07 / Max: 710.4Min: 735.9 / Avg: 745.87 / Max: 754.7Min: 711.1 / Avg: 714.93 / Max: 719.8Min: 723.8 / Avg: 731.03 / Max: 744.5Min: 661.4 / Avg: 664.47 / Max: 666.6Min: 661.2 / Avg: 663 / Max: 666.3Min: 664.9 / Avg: 673.07 / Max: 680.31. firefox 81.0

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 334.1231.7343.2539.7536.7534.7436.7835.9936.6430.8930.5630.74
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645Min: 34.09 / Avg: 34.12 / Max: 34.16Min: 31.7 / Avg: 31.73 / Max: 31.78Min: 43.23 / Avg: 43.25 / Max: 43.27Min: 39.66 / Avg: 39.75 / Max: 39.85Min: 36.66 / Avg: 36.75 / Max: 36.92Min: 34.64 / Avg: 34.74 / Max: 34.8Min: 36.71 / Avg: 36.78 / Max: 36.85Min: 35.82 / Avg: 35.99 / Max: 36.11Min: 36.56 / Avg: 36.64 / Max: 36.73Min: 30.82 / Avg: 30.89 / Max: 30.99Min: 30.45 / Avg: 30.56 / Max: 30.68Min: 30.7 / Avg: 30.74 / Max: 30.77

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.11, N = 3SE +/- 0.42, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.36, N = 4SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 329.4227.7534.0832.3527.9026.4628.5027.0927.3224.6324.2424.571. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 29.29 / Avg: 29.42 / Max: 29.63Min: 26.96 / Avg: 27.75 / Max: 28.41Min: 33.86 / Avg: 34.08 / Max: 34.21Min: 31.8 / Avg: 32.35 / Max: 32.68Min: 27.54 / Avg: 27.9 / Max: 28.09Min: 26.01 / Avg: 26.46 / Max: 26.82Min: 28.39 / Avg: 28.5 / Max: 28.59Min: 26.02 / Avg: 27.09 / Max: 27.53Min: 26.94 / Avg: 27.32 / Max: 27.63Min: 24.51 / Avg: 24.63 / Max: 24.79Min: 23.74 / Avg: 24.24 / Max: 24.89Min: 23.93 / Avg: 24.57 / Max: 251. chrome 86.0.4240.75

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 327.0425.4534.0931.5229.6728.3629.4729.0729.1825.0624.5324.67
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 27 / Avg: 27.04 / Max: 27.07Min: 25.36 / Avg: 25.45 / Max: 25.53Min: 34.07 / Avg: 34.09 / Max: 34.1Min: 31.33 / Avg: 31.52 / Max: 31.89Min: 29.61 / Avg: 29.67 / Max: 29.74Min: 28.22 / Avg: 28.36 / Max: 28.53Min: 29.13 / Avg: 29.46 / Max: 29.78Min: 28.81 / Avg: 29.07 / Max: 29.35Min: 28.96 / Avg: 29.18 / Max: 29.3Min: 25.01 / Avg: 25.06 / Max: 25.15Min: 24.32 / Avg: 24.53 / Max: 24.82Min: 24.63 / Avg: 24.67 / Max: 24.73

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 322.3820.3621.8220.1519.1018.4318.7918.9019.1316.7916.4816.17
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025Min: 22.36 / Avg: 22.38 / Max: 22.4Min: 20.35 / Avg: 20.36 / Max: 20.37Min: 21.64 / Avg: 21.82 / Max: 22.04Min: 20.07 / Avg: 20.15 / Max: 20.25Min: 19.02 / Avg: 19.1 / Max: 19.24Min: 18.27 / Avg: 18.43 / Max: 18.51Min: 18.64 / Avg: 18.79 / Max: 19.07Min: 18.47 / Avg: 18.9 / Max: 19.21Min: 19 / Avg: 19.13 / Max: 19.29Min: 16.77 / Avg: 16.79 / Max: 16.81Min: 16.42 / Avg: 16.48 / Max: 16.6Min: 15.81 / Avg: 16.17 / Max: 16.54

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.44, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 329.026.833.230.827.025.426.726.226.924.424.124.11. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X714212835Min: 28.7 / Avg: 29.03 / Max: 29.2Min: 26.6 / Avg: 26.77 / Max: 27Min: 32.4 / Avg: 33.2 / Max: 33.9Min: 30.2 / Avg: 30.8 / Max: 31.3Min: 26.8 / Avg: 26.97 / Max: 27.1Min: 25.2 / Avg: 25.4 / Max: 25.7Min: 26.4 / Avg: 26.7 / Max: 27Min: 26 / Avg: 26.2 / Max: 26.5Min: 26.8 / Avg: 26.93 / Max: 27Min: 24.3 / Avg: 24.37 / Max: 24.4Min: 23.7 / Avg: 24.13 / Max: 24.7Min: 24 / Avg: 24.13 / Max: 24.31. firefox 81.0

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X100200300400500SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.36, N = 3SE +/- 1.82, N = 3SE +/- 1.90, N = 3SE +/- 4.92, N = 3SE +/- 0.11, N = 3SE +/- 0.67, N = 3SE +/- 3.56, N = 3SE +/- 0.94, N = 3SE +/- 0.97, N = 3SE +/- 0.69, N = 3420.58446.45343.93370.26390.47411.27403.65393.72400.12453.52461.36465.901. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X80160240320400Min: 420.43 / Avg: 420.58 / Max: 420.82Min: 445.96 / Avg: 446.45 / Max: 446.98Min: 343.22 / Avg: 343.93 / Max: 344.39Min: 368.35 / Avg: 370.26 / Max: 373.9Min: 387.81 / Avg: 390.47 / Max: 394.15Min: 406.22 / Avg: 411.27 / Max: 421.1Min: 403.43 / Avg: 403.65 / Max: 403.79Min: 393.03 / Avg: 393.72 / Max: 395.06Min: 396.51 / Avg: 400.12 / Max: 407.23Min: 451.67 / Avg: 453.52 / Max: 454.73Min: 459.43 / Avg: 461.36 / Max: 462.4Min: 464.84 / Avg: 465.9 / Max: 467.21. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X120240360480600SE +/- 0.37, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.88, N = 3SE +/- 3.10, N = 3SE +/- 3.75, N = 3SE +/- 0.08, N = 3SE +/- 6.64, N = 3SE +/- 5.13, N = 3SE +/- 0.32, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3523.67556.85420.79455.95480.70499.69492.74488.01501.99539.22548.75550.631. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X100200300400500Min: 522.94 / Avg: 523.67 / Max: 524.09Min: 556.67 / Avg: 556.85 / Max: 557.08Min: 420.53 / Avg: 420.79 / Max: 421Min: 454.19 / Avg: 455.95 / Max: 456.95Min: 474.5 / Avg: 480.7 / Max: 483.92Min: 495.53 / Avg: 499.69 / Max: 507.18Min: 492.57 / Avg: 492.74 / Max: 492.82Min: 480.05 / Avg: 488.01 / Max: 501.19Min: 495.84 / Avg: 501.99 / Max: 512.17Min: 538.7 / Avg: 539.22 / Max: 539.81Min: 548.47 / Avg: 548.75 / Max: 549.23Min: 549.98 / Avg: 550.63 / Max: 551.71. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X70140210280350SE +/- 0.14, N = 3SE +/- 1.24, N = 3SE +/- 0.40, N = 3SE +/- 0.39, N = 3SE +/- 0.19, N = 3SE +/- 2.89, N = 3SE +/- 0.28, N = 3SE +/- 0.84, N = 3SE +/- 0.44, N = 3SE +/- 0.21, N = 3SE +/- 1.79, N = 3SE +/- 1.61, N = 3294.97282.65300.34282.94257.80246.79256.34255.51258.83227.66227.29228.34MIN: 294.25 / MAX: 296.33MIN: 278.48 / MAX: 286.84MIN: 287.66 / MAX: 320.52MIN: 268.15 / MAX: 299.88MIN: 253.88 / MAX: 275.98MIN: 240.1 / MAX: 270.64MIN: 249.57 / MAX: 278.25MIN: 242.62 / MAX: 276.95MIN: 245.84 / MAX: 277.3MIN: 226.8 / MAX: 237.29MIN: 221.13 / MAX: 240.21MIN: 221.95 / MAX: 262.931. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250Min: 294.68 / Avg: 294.97 / Max: 295.13Min: 280.25 / Avg: 282.64 / Max: 284.42Min: 299.58 / Avg: 300.34 / Max: 300.91Min: 282.4 / Avg: 282.94 / Max: 283.71Min: 257.44 / Avg: 257.8 / Max: 258.07Min: 241.03 / Avg: 246.79 / Max: 250.07Min: 255.81 / Avg: 256.34 / Max: 256.77Min: 254.32 / Avg: 255.51 / Max: 257.12Min: 257.95 / Avg: 258.83 / Max: 259.38Min: 227.24 / Avg: 227.66 / Max: 227.94Min: 223.89 / Avg: 227.29 / Max: 229.97Min: 225.34 / Avg: 228.34 / Max: 230.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 0.10, N = 3SE +/- 3.74, N = 3SE +/- 0.44, N = 3SE +/- 0.38, N = 3SE +/- 0.65, N = 3SE +/- 1.57, N = 3SE +/- 0.80, N = 3SE +/- 2.02, N = 12SE +/- 0.29, N = 3SE +/- 0.04, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3278.41261.56278.62260.66240.28231.37235.52236.45240.34216.96215.55213.84MIN: 278.09 / MAX: 284.76MIN: 253.09 / MAX: 270.4MIN: 276.97 / MAX: 280.86MIN: 259.28 / MAX: 263.02MIN: 237.48 / MAX: 242.43MIN: 228.01 / MAX: 242MIN: 233.06 / MAX: 238.56MIN: 224.41 / MAX: 244.45MIN: 239.2 / MAX: 249.7MIN: 216.75 / MAX: 217.19MIN: 214.45 / MAX: 216.73MIN: 213.22 / MAX: 214.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X50100150200250Min: 278.29 / Avg: 278.41 / Max: 278.62Min: 254.18 / Avg: 261.56 / Max: 266.29Min: 277.76 / Avg: 278.62 / Max: 279.18Min: 260.08 / Avg: 260.66 / Max: 261.37Min: 239.15 / Avg: 240.27 / Max: 241.4Min: 228.28 / Avg: 231.37 / Max: 233.37Min: 233.92 / Avg: 235.52 / Max: 236.38Min: 224.85 / Avg: 236.45 / Max: 242.78Min: 239.79 / Avg: 240.34 / Max: 240.75Min: 216.89 / Avg: 216.96 / Max: 217.03Min: 214.61 / Avg: 215.55 / Max: 216.49Min: 213.38 / Avg: 213.84 / Max: 214.21. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.63, N = 3SE +/- 0.09, N = 3SE +/- 0.49, N = 3SE +/- 0.21, N = 3SE +/- 2.75, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 3SE +/- 0.60, N = 3SE +/- 0.37, N = 3165.64176.07137.69148.86157.47168.05162.65159.83157.12169.18173.79177.011. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150Min: 165.59 / Avg: 165.64 / Max: 165.7Min: 176.02 / Avg: 176.07 / Max: 176.12Min: 137.64 / Avg: 137.69 / Max: 137.72Min: 148.19 / Avg: 148.86 / Max: 150.11Min: 157.35 / Avg: 157.47 / Max: 157.64Min: 167.52 / Avg: 168.04 / Max: 169.02Min: 162.35 / Avg: 162.65 / Max: 163.05Min: 157.08 / Avg: 159.83 / Max: 165.33Min: 156.82 / Avg: 157.12 / Max: 157.62Min: 169.16 / Avg: 169.18 / Max: 169.21Min: 172.74 / Avg: 173.79 / Max: 174.83Min: 176.28 / Avg: 177.01 / Max: 177.381. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1.23752.4753.71254.956.1875SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 45.45.55.25.04.44.34.44.44.54.34.34.41. firefox 81.0
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 5.3 / Avg: 5.37 / Max: 5.4Min: 5.5 / Avg: 5.5 / Max: 5.5Min: 5.1 / Avg: 5.17 / Max: 5.2Min: 4.9 / Avg: 4.97 / Max: 5Min: 4.3 / Avg: 4.37 / Max: 4.4Min: 4.3 / Avg: 4.33 / Max: 4.4Min: 4.3 / Avg: 4.37 / Max: 4.4Min: 4.4 / Avg: 4.4 / Max: 4.4Min: 4.4 / Avg: 4.47 / Max: 4.5Min: 4.2 / Avg: 4.27 / Max: 4.3Min: 4.2 / Avg: 4.3 / Max: 4.4Min: 4.2 / Avg: 4.35 / Max: 4.51. firefox 81.0

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1.14752.2953.44254.595.7375SE +/- 0.03, N = 3SE +/- 0.05, N = 9SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.15.05.04.64.24.24.24.24.34.04.04.01. chrome 86.0.4240.75
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810Min: 5.1 / Avg: 5.13 / Max: 5.2Min: 4.8 / Avg: 5 / Max: 5.2Min: 4.5 / Avg: 4.57 / Max: 4.6Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.1 / Avg: 4.17 / Max: 4.2Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.2 / Avg: 4.27 / Max: 4.3Min: 3.9 / Avg: 3.97 / Max: 4Min: 3.9 / Avg: 3.97 / Max: 41. chrome 86.0.4240.75

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 1.19, N = 3SE +/- 1.02, N = 4SE +/- 0.04, N = 3SE +/- 0.57, N = 3SE +/- 0.81, N = 3SE +/- 0.44, N = 3SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.70, N = 3SE +/- 0.86, N = 369.0162.6475.3472.4766.2566.4667.7968.1669.6462.7960.4562.55
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1428425670Min: 68.88 / Avg: 69.01 / Max: 69.09Min: 62.41 / Avg: 62.64 / Max: 63.06Min: 74.11 / Avg: 75.34 / Max: 77.72Min: 70.72 / Avg: 72.47 / Max: 75.35Min: 66.17 / Avg: 66.25 / Max: 66.29Min: 65.58 / Avg: 66.46 / Max: 67.52Min: 66.44 / Avg: 67.79 / Max: 69.25Min: 67.61 / Avg: 68.16 / Max: 69.03Min: 69.16 / Avg: 69.64 / Max: 69.94Min: 62.49 / Avg: 62.79 / Max: 63.02Min: 59.46 / Avg: 60.45 / Max: 61.8Min: 61.68 / Avg: 62.55 / Max: 64.26

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.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 5 5600X0.14180.28360.42540.56720.709SE +/- 0.00, N = 30.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 5600X0.13950.2790.41850.5580.6975SE +/- 0.00, N = 30.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 5 5600X7001400210028003500SE +/- 39.99, N = 33144.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURyzen 5 5600X7001400210028003500SE +/- 9.00, N = 33087.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURyzen 5 5600X5001000150020002500SE +/- 5.27, N = 32244.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 5 5600X5001000150020002500SE +/- 2.11, N = 32225.201. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 5 5600X48121620SE +/- 0.08, N = 315.30MIN: 15.06 / MAX: 15.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 5 5600X1428425670SE +/- 0.18, N = 361.72MIN: 60.76 / MAX: 66.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 5 5600X0.22050.4410.66150.8821.1025SE +/- 0.00, N = 30.98MIN: 0.97 / MAX: 1.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 5 5600X0.64581.29161.93742.58323.229SE +/- 0.02, N = 32.87MIN: 2.79 / MAX: 7.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ryzen 5 5600X0.48830.97661.46491.95322.4415SE +/- 0.01, N = 32.17MIN: 2.14 / MAX: 2.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 5 5600X0.96591.93182.89773.86364.8295SE +/- 0.002, N = 34.293MIN: 4.25 / MAX: 4.641. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

229 Results Shown

ACES DGEMM
Aircrack-ng
oneDNN
John The Ripper
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP32 - CPU
Intel Open Image Denoise
oneDNN:
  Deconvolution Batch deconv_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
OpenVINO:
  Person Detection 0106 FP16 - CPU
  Person Detection 0106 FP32 - CPU
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
OpenVKL
OpenSSL
John The Ripper
TSCP
Embree
BRL-CAD
N-Queens
Embree
Chaos Group V-RAY
Kvazaar
SciMark
Kvazaar
m-queens
SVT-AV1
Embree
TTSIOD 3D Renderer
Blender
GraphicsMagick
asmFish
Tachyon
YafaRay
Rodinia
Stockfish
oneDNN
SVT-AV1
Smallpt
Tungsten Renderer
Embree
Blender
LuxCoreRender
ASTC Encoder
Kvazaar
Basis Universal
Timed MPlayer Compilation
ASTC Encoder
Tungsten Renderer
Kvazaar
LuxCoreRender
Kvazaar
Blender
TensorFlow Lite
Kvazaar
LAMMPS Molecular Dynamics Simulator
TensorFlow Lite:
  Mobilenet Float
  Inception V4
NAMD
POV-Ray
x265
oneDNN
C-Ray
GraphicsMagick
Timed Linux Kernel Compilation
TensorFlow Lite
Rodinia
Tungsten Renderer
Timed LLVM Compilation
Numenta Anomaly Benchmark
TensorFlow Lite
Timed FFmpeg Compilation
Appleseed
Basis Universal
7-Zip Compression
x264
SVT-VP9
Appleseed
Sunflow Rendering System
Polyhedron Fortran Benchmarks
NCNN
Appleseed
NeatBench
Kvazaar:
  Bosphorus 1080p - Ultra Fast
  Bosphorus 1080p - Very Fast
NCNN
GROMACS
Numenta Anomaly Benchmark
Timed ImageMagick Compilation
Mobile Neural Network:
  inception-v3
  SqueezeNetV1.0
NCNN
Numenta Anomaly Benchmark
SciMark
libavif avifenc
OCRMyPDF
NCNN
libavif avifenc
SVT-VP9
dav1d
Mobile Neural Network
Timed PHP Compilation
TensorFlow Lite
Mobile Neural Network
dav1d
DaCapo Benchmark
Numenta Anomaly Benchmark
Rodinia
Nebular Empirical Analysis Tool
WireGuard + Linux Networking Stack Stress Test
NCNN
LibRaw
NCNN
Zstd Compression:
  19
  3
AOM AV1
NCNN
AOM AV1
PlaidML:
  No - Inference - ResNet 50 - CPU
  No - Inference - Inception V3 - CPU
NCNN
Tungsten Renderer
AOM AV1
Timed GDB GNU Debugger Compilation
VP9 libvpx Encoding
AOM AV1
PlaidML
Perl Benchmarks
Radiance Benchmark
Basis Universal
Numpy Benchmark
DaCapo Benchmark
Timed Apache Compilation
Radiance Benchmark
PyPerformance
Timed MAFFT Alignment
SciMark
VP9 libvpx Encoding
Timed MrBayes Analysis
SQLite Speedtest
Inkscape
PyPerformance
GIMP
libjpeg-turbo tjbench
Crafty
ASTC Encoder
Selenium
Basis Universal
Selenium:
  Speedometer - Google Chrome
  StyleBench - Google Chrome
Fhourstones
GraphicsMagick
Polyhedron Fortran Benchmarks
Monte Carlo Simulations of Ionised Nebulae
PyPerformance
LibreOffice
dav1d
Hierarchical INTegration
PyPerformance
Selenium
Montage Astronomical Image Mosaic Engine
Rodinia
RawTherapee
C-Blosc
Selenium
PyPerformance
PyBench
DaCapo Benchmark
Tesseract OCR
Selenium
WebP Image Encode
LAME MP3 Encoding
Caffe
eSpeak-NG Speech Engine
libavif avifenc
WebP Image Encode
Perl Benchmarks
NCNN
DeepSpeech
GIMP:
  auto-levels
  rotate
GNU Octave Benchmark
FLAC Audio Encoding
WebP Image Encode
Caffe
libavif avifenc
CloverLeaf
WebP Image Encode
FFTE
Dolfyn
ctx_clock
BYTE Unix Benchmark
G'MIC
WebP Image Encode
GEGL
Polyhedron Fortran Benchmarks
SciMark
RNNoise
Selenium
GEGL
Selenium
GEGL:
  Rotate 90 Degrees
  Crop
Selenium
GEGL
Selenium
GEGL
Mlpack Benchmark
Selenium
Botan:
  Twofish
  Blowfish
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
Botan
Selenium:
  Maze Solver - Firefox
  Maze Solver - Google Chrome
Mlpack Benchmark
OpenVINO:
  Age Gender Recognition Retail 0013 FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Person Detection 0106 FP32 - CPU
  Person Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
  Face Detection 0106 FP16 - CPU
NCNN:
  CPU - alexnet
  CPU - vgg16
  CPU - blazeface
  CPU - mnasnet
  CPU - shufflenet-v2
Mobile Neural Network

Core i5 10600K

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 1 November 2020 09:16 by user phoronix.

Core i9 10900K

Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 16 October 2020 21:33 by user phoronix.

Ryzen 5 2600

Processor: AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 31 October 2020 11:19 by user phoronix.

Ryzen 5 2600X

Processor: AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 30 October 2020 10:12 by user phoronix.

Ryzen 5 3600X

Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 October 2020 10:56 by user phoronix.

Ryzen 7 3800XT

Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 27 October 2020 16:13 by user phoronix.

Ryzen 9 3900X

Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 18 October 2020 14:22 by user phoronix.

Ryzen 9 3900XT

Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 17 October 2020 19:02 by user phoronix.

Ryzen 9 3950X

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 15 October 2020 14:23 by user phoronix.

Ryzen 5 5600X

Processor: AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 5 November 2020 20:13 by user phoronix.

Ryzen 9 5900X

Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 19 October 2020 20:47 by user phoronix.

Ryzen 9 5950X

Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 21 October 2020 21:08 by user phoronix.