Big Comparison Core i9 10900K vs. Ryzen 9 3950X Linux Benchmarks

Tests fot a future article on Phoronix by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2005266-PTS-BIGCOMPA76
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Audio Encoding 2 Tests
AV1 4 Tests
Bioinformatics 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 10 Tests
C/C++ Compiler Tests 40 Tests
Compression Tests 7 Tests
CPU Massive 66 Tests
Creator Workloads 35 Tests
Cryptography 11 Tests
Database Test Suite 3 Tests
Desktop Graphics 5 Tests
Encoding 10 Tests
Fortran Tests 5 Tests
Game Development 4 Tests
HPC - High Performance Computing 25 Tests
Imaging 5 Tests
Java 5 Tests
Common Kernel Benchmarks 8 Tests
Linear Algebra 2 Tests
Machine Learning 7 Tests
Molecular Dynamics 6 Tests
MPI Benchmarks 6 Tests
Multi-Core 61 Tests
NVIDIA GPU Compute 6 Tests
Intel oneAPI 4 Tests
OpenCL 3 Tests
OpenGL Demos Test Suite 3 Tests
OpenMPI Tests 11 Tests
Productivity 3 Tests
Programmer / Developer System Benchmarks 18 Tests
Python 7 Tests
Raytracing 4 Tests
Renderers 13 Tests
Scientific Computing 13 Tests
Server 6 Tests
Server CPU Tests 38 Tests
Single-Threaded 25 Tests
Unigine Test Suite 3 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 10 Tests

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Core i9 10900K
May 20 2020
  1 Day, 17 Hours, 30 Minutes
Ryzen 9 3950X
May 22 2020
  1 Day, 16 Hours, 22 Minutes
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  1 Day, 16 Hours, 56 Minutes
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Big Comparison Core i9 10900K vs. Ryzen 9 3950X Linux BenchmarksOpenBenchmarking.orgPhoronix Test Suite 10.4.0m1Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1201 BIOS)Intel Comet Lake PCHAMD Starship/Matisse16GBSamsung SSD 970 EVO 250GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2060/875MHz)Realtek ALC1220AMD Navi 10 HDMI AudioIntel Device 15f3 + Intel Wi-Fi 6 AX201Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.7.0-999-generic (x86_64) 20200519GNOME Shell 3.36.1X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.0.4 (LLVM 9.0.1)GCC 9.3.0ext43840x2160ProcessorsMotherboardsChipsetsMemoryDiskGraphicsAudiosNetworksOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionBig Comparison Core I9 10900K Vs. Ryzen 9 3950X Linux Benchmarks PerformanceSystem Logs- --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,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 - NONE / errors=remount-ro,relatime,rw- Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- Ryzen 9 3950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)- Python 2.7.18rc1 + Python 3.8.2- Core i9 10900K: itlb_multihit: KVM: Mitigation of Split huge pages + 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 + 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 + tsx_async_abort: Not affected - Ryzen 9 3950X: GLAMOR

Core i9 10900K vs. Ryzen 9 3950X ComparisonPhoronix Test Suite 10.4.0m1Baseline+56.1%+56.1%+112.2%+112.2%+168.3%+168.3%224.2%176.9%163.9%148.7%148.6%105.7%105.2%98.5%90.4%79.1%77.2%75.7%74.3%73.9%71.7%71.4%70.7%68%67.5%65%63.2%58.8%57.3%55.3%54.5%53.1%50.2%49.9%49.8%49.1%48.7%48.6%48.3%45.4%45.3%44.1%43.5%43.5%43.2%43%42.9%42.6%41.7%41.3%40.9%40.7%40.4%40.1%40.1%40%39.9%39.6%39.3%38.5%38.4%38.2%37.8%37.4%36.8%36.6%36%35%34.9%33.6%33.5%32.2%32.1%31.7%30.7%30.5%30%29.8%29.1%29.1%28.8%28%27.7%27.6%26.8%26.4%26.4%26.3%25.3%24.9%24.4%24.2%23.6%23.5%23.4%22.2%22.1%21.5%21.5%21.5%21.3%20.9%20.5%20.4%20.2%20.1%20%20%19.3%19.3%19.1%18.9%18.1%17.8%16.8%16.5%16.5%15.8%15.5%15.1%14.5%14.5%13.4%13.1%13%12.9%11.8%11.7%10.8%10.6%10.3%10.2%10%9%8.8%8.6%8.4%7.8%7.8%7.3%7.1%6.7%6.2%6.1%5.8%5.6%5.2%5.1%5.1%4.9%4.6%4.1%4.1%4%4%3.8%3.7%3.5%3.5%3.4%3.2%3.2%2.9%2.8%2.6%2.3%2.3%2.2%2.1%AtomicFayalite-FIST DataWavelet Volume - 3840 x 2160Wavelet Volume - 3840 x 2160m7mOpenMP CUTCPscikit_linearridgeregressionSwirl89.6%Rand Fill Syncmyr-gr78.1%CryptoO.M.GD.B.d - u8s8f32Time To SolveS.N.172.6%TBBC++ ThreadsC++ TasksEP.C69.7%Create Processes69.6%OpenMPOpenMP CFD SolverF.E.T67.4%EP.D67.4%Total Time - 4.1.R.P.PTradebeans64%Chimera 1080p63.8%CPU CacheOpenGL - 3840 x 2160 - Medium63%2.A.2.B.S60.7%Apache Spark Bayes60.1%SP.BH.2.H.T.N.D57.8%Vector MathA.L.B.C.C56.9%Unnamed Pipe - 4096FIFO Named Pipe - 4096Elapsed TimeEigen51.8%1.A.2.B.S51%DLSCG.I.R.1.SClassroom - CPU-OnlyPabellon Barcelona - CPU-OnlyEnhancedHairSavina Reactors.IOinduct247.8%C.1.1.b47.5%O.S47.4%1.A.2.B.S.2.T46.9%Fishy Cat - CPU-Only1.P.N.GGET45.2%LPOP45.2%R.C.a.PSummer Nature 4K44.1%Noise-GaussianDisney MaterialCPUMotionMark - Firefox43.1%Total TimeTotal TimeUASTC Level 3SharpenRead41.6%C.u.1.0.3.s.i.i.C.L.1Bedroom2.F.E40.8%OpenMP LavaMDEmilyResizingRand Read1.A.2.B.S.4.T40%3CPU StressTime To CompileMonte CarloSET39.1%IP Batch 1D - f3238.7%C.S.TBarbershop - CPU-OnlyTime To CompileG.A.U.J.F38.1%Launch Programs38%Create Threads37.8%B.CCoreMark Size 666 - I.P.Spoly1305-aes37.4%LPUSH37.4%chacha37.1%Time To CompileContext SwitchingSocket Activityac35.7%Pathtracer - CrownBMW27 - CPU-OnlyChimera 1080p34.9%1 - Thread34.3%FLOAT34.2%Reactor33.7%T.T.F.S.S1 - Process33.6%jsonaes25632.4%Large SceneUASTC Level 2linpk32%Maze Solver - Google ChromeSpeed 6 Realtime31.7%19tConvolve MT - Gridding30.7%V.P.MSADD30.3%1920 x 1080 - Windowed - Low - OpenGL30.1%tConvolve MPI - Gridding30.1%Time To Compile1.H.M.2.DFloat + SSE - 2D FFT Size 409629.4%Timed Time - Size 1,00029.4%CPUBasemark - Google ChromeC240 BuckyballSpeed 8 Realtime28.2%pickle_pure_python28.1%MD5fatigue227.8%Material TesterSupercarO.B27.4%H.2.V.EWater BenchmarkVolumetric CausticH225.9%R.4.b.Pchaos25.3%S.N.125.2%Read TestChimera 1080p24.8%Rand24.8%Matrix MathRead While WritingRand Forest23.9%unsharp-mask23.7%float23.6%HWB Color SpaceOpenGL - 3840 x 2160 - HighW.c - Google ChromeMemory Allocations23.3%StyleBench - Firefox23.2%A.C.P23%S.N.122.6%deepPathtracer - Asian DragonI.M.D.S22%go21.9%21.8%Rotate21.6%vklBenchmarkPathtracer - Asian Dragon ObjNo - Inference - Inception V3 - CPUraytrace21.3%CPUNo - Inference - VGG16 - CPUJython20.8%A.U.C.T20.8%auto-levels20.6%lbryPod2html20.5%airtConvolve MT - Degridding20.3%json_loads20.2%Time To Compileaermod20.1%skeinTime To CompileMaze Solver - FirefoxBlowfishNo - Inference - VGG19 - CPUrnflow19.2%Speed 519.2%Tradesoap19.1%AES-256Latency Ping Pong19%Average19%D.B.d - f32P.D.S18.8%django_template18.8%XZ 0 - Compression18.6%Brotli 0 - Decompression18.5%Wavelet Blur18.2%3840 x 216018.1%P.R.W.S.S.MApache Spark ALS17.9%D.B.d - u8s8f3217.9%tConvolve MPI - Degridding17.9%Tile Glass17.9%W.c - FirefoxT.F.A.T.T17.6%2to317.4%P.I.O.A.3.V.1.T17%Reflect16.9%crypto_pyaes16.8%Non-ExponentialWebXPRT - Firefox16.7%ARES-6 - Firefox16.7%Latency Under Loadregex_compile16.5%sha256tBrotli 2 - Decompression16.4%Rotate 90 Degrees16.3%Antialias16.2%Blowfish16.1%I.E.C.P.K.A16.1%C.1.1.b15.9%BT.C15.8%U.U.D.S - 409615.8%L.S.T.A.T.t.g15.8%Earthgecko SkylineCrush 0 - Decompression15.7%C.1.1.b15.7%ARES-6 - Google Chrome15.6%No - Inference - DenseNet 201 - CPUC.C.4.S15.5%Time To Compile15.2%H.2.1.V.E15.2%Relative EntropyCrush 0 - Compression14.9%2048 x 2048 - Total Time14.6%Windowed GaussianMemorialIP Batch 1D - u8s8f3214.3%Write14.2%KASUMI14.2%Libdeflate 1 - Decompression14.2%A.S.P14.1%Cartoon13.8%Jetstream - Google Chrome13.7%Zstd 1 - Decompression13.6%PSPDFKit WASM - Firefox13.6%Twofish13.5%IP Batch All - f32Keyed Algorithms13.2%Pathtracer ISPC - CrownTime To Compile13%P.P.SRenderer2 - 3840 x 216012.8%CAST-25612.6%tConvolve OpenMP - Degridding12.5%nbody12.3%Octane - Firefox12.3%tConvolve OpenMP - Gridding12.2%R.N.N.T - f3212.2%Speed 6 Two-Pass12%Write TestTime To CompileCrop11.4%P.P.A11.4%Create Files11.1%Seq Fill10.8%Water CausticF.F.TUASTC Level 010.5%32 - Process10.4%mdbx10.3%4.A.6.B.Sscikit_qda10.3%10.2%Summer Nature 4Krotate10.1%Octane - Google Chrome10%R.M.WAll Algorithms10%Zstd 8 - Decompression9.9%1920 x 1080 - Windowed - OpenGL9.8%Color Enhance9.7%TCP Socket - 40969%resize9%D.B.d - f32T.T.C.C.G.C8.9%scikit_svmPSPDFKit WASM - Google Chrome8.8%Quasigroup8.8%Jetstream - Firefox8.7%OpenMP Stenciltest_fpu2mp_prop_design8.4%68.4%Throughput8.3%Zstd 1 - Compression8.3%Speed 4 Two-Pass8.1%C.u.1.0.3.s.i.i.C.L.98%Stock - 2D FFT Size 40967.9%Jetstream 2 - Google Chrome7.9%ATPase Simulation - 327,506 Atomspathlib7.6%SerialD.T7.2%WAV To FLAC7.2%7.1%SMP Parallel57%doduc7%Libdeflate 1 - Compression7%python_startup7%D.L.M.F6.8%106.8%Jetstream 2 - Firefox6.7%Zstd 8 - Compressionprotein6.5%1000 Stack6.2%16.2%Graceful1920 x 1080 - Windowed - High - OpenGLSummer Nature 4KSpeed 05.3%R.N.N.I - f32garbageleblancbig5%Brotli 2 - Compression5%Kraken - Google ChromeUnkeyed Algorithms4.9%Speedometer - Firefox4.7%Pathtracer ISPC - Asian Dragon ObjScale4.6%IP Batch All - u8s8f324.5%T.H.R4.5%1000 Convex4.5%gas_dyn24.5%Solitaire4.3%Pathtracer ISPC - Asian DragonFT.C1920 x 1080 - Windowed - Medium - OpenGLJ.S.O.RMG.C3.9%136 RagdollsRand FillInterpreter3.6%S.F.P.RblosclzW.i - Firefox3840 x 2160 - Ultimate3.3%EXPoSE3.3%Many Spheres - 3840 x 2160Many Spheres - 3840 x 21602.D.T.P3.2%Speed 0 Two-Pass2.9%C.S.TCanvasMark - Firefox2.8%Vulkan - 3840 x 2160 - MediumOpenMP LBMU.L.2.R.P.P2.3%WebXPRT - Google Chrome2.3%Speedometer - Google Chrome3840 x 2160 - LowBrotli 0 - CompressionScala Dotty2.1%Time To Compile2.1%CompositeRaytests2%Stress-NGebizzyCP2K Molecular DynamicsParaViewParaViewCpuminer-OptParboilMlpack BenchmarkGraphicsMagickBLAKE2Facebook RocksDBCpuminer-OptStress-NGParboiloneDNN MKL-DNNm-queenslibgav1toyBrot Fractal GeneratortoyBrot Fractal GeneratortoyBrot Fractal GeneratorNAS Parallel BenchmarksOSBenchtoyBrot Fractal GeneratorRodiniaBork File EncrypterNAS Parallel BenchmarksC-RayDaCapo Benchmarklibgav1Stress-NGBasemark GPUMultichase Pointer ChaserRenaissanceNAS Parallel BenchmarksFFmpegStress-NGCore-LatencyIPC_benchmarkIPC_benchmarkN-QueensLeelaChessZeroMultichase Pointer ChaserLuxCoreRenderSmallptBlenderBlenderGraphicsMagickTungsten RendererRenaissancePolyhedron Fortran Benchmarkslibgav1RodiniaMultichase Pointer ChaserBlenderPrimesieveRedisRedisLuxCoreRenderlibgav1GraphicsMagickAppleseedNeatBenchSeleniumTachyonStockfishBasis UniversalGraphicsMagickCacheBenchZstd CompressionIndigoBenchGnuPGRodiniaAppleseedGraphicsMagickFacebook RocksDBMultichase Pointer ChaserZstd CompressionStress-NGTimed MPlayer CompilationJava SciMarkRedisoneDNN MKL-DNN7-Zip CompressionBlenderTimed LLVM CompilationRenaissanceOSBenchOSBenchNumenta Anomaly BenchmarkCoremarkNettleRedisNettleTimed Linux Kernel CompilationStress-NGStress-NGPolyhedron Fortran BenchmarksEmbreeBlenderdav1dHackbenchHierarchical INTegrationJava Gradle BuildYafaRayHackbenchGo BenchmarksNettlerays1benchBasis UniversalPolyhedron Fortran BenchmarksSeleniumAOM AV1Zstd CompressionASKAPBRL-CADRedisUnigine SuperpositionASKAPTimed FFmpeg CompilationasmFishFFTWSQLite SpeedtestSysbenchSeleniumNWChemAOM AV1PyPerformanceJohn The RipperPolyhedron Fortran BenchmarksAppleseedIndigoBenchOptcarrotAircrack-ngx264GROMACSTungsten RendererDaCapo BenchmarkOpenSSLPyPerformancedav1dIORdav1dLeelaChessZeroStress-NGFacebook RocksDBRenaissanceGIMPPyPerformanceGraphicsMagickBasemark GPUSeleniumOSBenchSeleniumTSCPdav1dCpuminer-OptEmbreeRenaissancePyPerformanceLULESHGraphicsMagickOpenVKLEmbreePlaidMLPyPerformanceDeepSpeechPlaidMLDaCapo BenchmarkRenaissanceGIMPCpuminer-OptPerl BenchmarksPolyhedron Fortran BenchmarksASKAPPyPerformanceBuild2Polyhedron Fortran BenchmarksCpuminer-OptTimed ImageMagick CompilationSeleniumJohn The RipperPlaidMLPolyhedron Fortran BenchmarksVP9 libvpx EncodingDaCapo BenchmarkBotanSockperfSwetoneDNN MKL-DNNTimed HMMer SearchPyPerformancelzbenchlzbenchGEGLTesseractTTSIOD 3D RendererRenaissanceoneDNN MKL-DNNASKAPGEGLSeleniumPyBenchPyPerformanceG'MICGEGLPyPerformanceTungsten RendererSeleniumSeleniumSockperfPyPerformanceCpuminer-OptlzbenchGEGLGEGLBotanCrypto++dav1dNAS Parallel BenchmarksIPC_benchmarkGzip CompressionNumenta Anomaly Benchmarklzbenchdav1dSeleniumPlaidMLFhourstonesTimed GDB GNU Debugger Compilationx265Numenta Anomaly BenchmarklzbenchAOBenchNumenta Anomaly BenchmarkIntel Open Image DenoiseoneDNN MKL-DNNCacheBenchBotanlzbenchRenaissanceGEGLSeleniumlzbenchSeleniumBotanoneDNN MKL-DNNCrypto++EmbreeTimed Apache CompilationHimeno BenchmarkAlgebraic Multi-Grid BenchmarkET: LegacyBotanASKAPPyPerformanceSeleniumASKAPoneDNN MKL-DNNAOM AV1IORTimed PHP CompilationGEGLTimed MrBayes AnalysisOSBenchFacebook RocksDBTungsten RendererJava SciMarkBasis UniversalHackbenchPolyhedron Fortran BenchmarksMultichase Pointer ChaserMlpack BenchmarkCython benchmarkdav1dGIMPSeleniumCacheBenchCrypto++lzbenchUnigine ValleyGEGLIPC_benchmarkGIMPoneDNN MKL-DNNGitMlpack BenchmarkSeleniumMinionSeleniumParboilPolyhedron Fortran BenchmarksPolyhedron Fortran Benchmarksrav1eSockperflzbenchAOM AV1XZ CompressionFFTWSeleniumNebular Empirical Analysis ToolNAMDPyPerformanceRadiance Benchmarklibjpeg-turbo tjbenchFLAC Audio EncodingNumpy BenchmarkRadiance Benchmarkrav1ePolyhedron Fortran BenchmarkslzbenchPyPerformanceJava SciMarkrav1eSeleniumlzbenchPolyhedron Fortran BenchmarksBullet Physics Enginerav1eScikit-LearnMinionUnigine Superpositiondav1dVP9 libvpx EncodingoneDNN MKL-DNNHigh Performance Conjugate GradientGo BenchmarksPennantlzbenchSeleniumCrypto++SeleniumEmbreeGEGLoneDNN MKL-DNNRenaissanceBullet Physics EnginePolyhedron Fortran BenchmarksMinionEmbreeNAS Parallel BenchmarksUnigine SuperpositionJava SciMarkNAS Parallel BenchmarksBullet Physics EngineFacebook RocksDBPerl BenchmarksACES DGEMMC-BloscSeleniumXonoticNumenta Anomaly BenchmarkParaViewParaViewLibreOfficeAOM AV1ctx_clockSeleniumBasemark GPUParboilBasis UniversalSeleniumSeleniumXonoticlzbenchRenaissanceTimed GCC CompilationJava SciMarkBullet Physics EngineCore i9 10900KRyzen 9 3950X

Big Comparison Core i9 10900K vs. Ryzen 9 3950X Linux Benchmarkspennant: sedovbigpennant: leblancbignwchem: C240 Buckyballselenium: Basemark - Google Chromeselenium: Basemark - Firefoxrenaissance: Akka Unbalanced Cobwebbed Treeselenium: MotionMark - Firefoxbuild-gcc: Time To Compilecryptopp: All Algorithmsnumenta-nab: EXPoSEplaidml: No - Inference - DenseNet 201 - CPUrenaissance: Savina Reactors.IObasis: UASTC Level 2 + RDO Post-Processingrenaissance: Apache Spark Bayesselenium: WebXPRT - Firefoxselenium: WebXPRT - Google Chromelczero: BLASjava-gradle-perf: Reactorbuild-llvm: Time To Compilepolyhedron: gas_dyn2blender: Barbershop - CPU-Onlyrenaissance: Apache Spark PageRankrenaissance: Rand Forestcryptopp: Keyed Algorithmscore-latency: Average Latency Between CPU Coresselenium: CanvasMark - Firefoxlibgav1: Chimera 1080p 10-bitblender: Pabellon Barcelona - CPU-Onlylczero: Eigenlczero: Randrenaissance: Genetic Algorithm Using Jenetics + Futuresfftw: Float + SSE - 2D FFT Size 4096libgav1: Chimera 1080procksdb: Rand Fillcryptopp: Integer + Elliptic Curve Public Key Algorithmsselenium: MotionMark - Google Chromeplaidml: No - Inference - ResNet 50 - CPUblender: Classroom - CPU-Onlyrenaissance: In-Memory Database Shootoutunigine-heaven: 1920 x 1080 - Windowed - OpenGLpolyhedron: test_fpu2hpcg: brl-cad: VGR Performance Metricplaidml: No - Inference - Inception V3 - CPUselenium: Jetstream 2 - Firefoxamg: cachebench: Readnumpy: cp2k: Fayalite-FIST Dataunigine-valley: 1920 x 1080 - Windowed - OpenGLhint: FLOATfftw: Stock - 2D FFT Size 4096unigine-super: 1920 x 1080 - Windowed - Ultra - OpenGLunigine-super: 1920 x 1080 - Windowed - High - OpenGLasmfish: 1024 Hash Memory, 26 Depthunigine-super: 1920 x 1080 - Windowed - Medium - OpenGLunigine-super: 1920 x 1080 - Windowed - Low - OpenGLrocksdb: Rand Fill Syncradiance: Serialselenium: Jetstream - Firefoxrocksdb: Read While Writingselenium: Jetstream - Google Chromeappleseed: Emilypolyhedron: mp_prop_designgromacs: Water Benchmarkparboil: OpenMP LBMparboil: OpenMP MRI Griddingblender: Fishy Cat - CPU-Onlyselenium: Jetstream 2 - Google Chromepolyhedron: channel2polyhedron: fatigue2libgav1: Summer Nature 4Kplaidml: No - Inference - VGG19 - CPUnumenta-nab: Earthgecko Skylinerenaissance: Scala Dottyplaidml: No - Inference - Mobilenet - CPUmt-dgemm: Sustained Floating-Point Ratecachebench: Writecachebench: Read / Modify / Writenpb: BT.Cnpb: EP.Dmlpack: scikit_qdaselenium: ARES-6 - Firefoxplaidml: No - Inference - VGG16 - CPUdav1d: Chimera 1080p 10-bitdav1d: Chimera 1080p 10-bitfhourstones: Complex Connect-4 Solvingselenium: StyleBench - Google Chromerav1e: 1blender: BMW27 - CPU-Onlyrenaissance: Apache Spark ALSappleseed: Disney Materialbuild-linux-kernel: Time To Compilecompress-gzip: Linux Source Tree Archiving To .tar.gzminion: Quasigroupappleseed: Material Testeryafaray: Total Time For Sample Scenepolyhedron: rnflowrav1e: 5pyperformance: python_startupstress-ng: CPU Cachestress-ng: Atomicopenvkl: vklBenchmarkgegl: Cartoonbuild-gdb: Time To Compileselenium: Speedometer - Firefoxbuild2: Time To Compilecpuminer-opt: myr-grcompress-zstd: 19vpxenc: Speed 0perl-benchmark: Pod2htmlhackbench: 32 - Processcryptopp: Unkeyed Algorithmssockperf: Latency Under Loadaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingmrbayes: Primate Phylogeny Analysispyperformance: raytracestockfish: Total Timeetlegacy: Renderer2 - 3840 x 2160selenium: CanvasMark - Google Chromemkl-dnn: Deconvolution Batch deconv_1d - u8s8f32toybrot: OpenMPhimeno: Poisson Pressure Solvernamd: ATPase Simulation - 327,506 Atomstoybrot: TBBtoybrot: C++ Threadstoybrot: C++ Tasksluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismindigobench: Bedroomindigobench: Supercarpolyhedron: induct2graphics-magick: Sharpenjohn-the-ripper: MD5graphics-magick: Enhancedgraphics-magick: Noise-Gaussianrocksdb: Rand Readgraphics-magick: Resizinggraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: HWB Color Spaceselenium: Speedometer - Google Chromemkl-dnn: IP Batch All - f32radiance: SMP Parallelmkl-dnn: IP Batch All - u8s8f32selenium: StyleBench - Firefoxaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddinggegl: Wavelet Blurminion: Solitairetachyon: Total Timemlpack: scikit_icanpb: SP.Bperl-benchmark: Interpreterbasemark: Vulkan - 3840 x 2160 - Highrawtherapee: Total Benchmark Timegegl: Color Enhancepolyhedron: proteinmlpack: scikit_linearridgeregressionsqlite-speedtest: Timed Time - Size 1,000cpuminer-opt: skeingit: Time To Complete Common Git Commandsdeepspeech: CPUbasemark: OpenGL - 3840 x 2160 - Highpyperformance: 2to3libreoffice: 20 Documents To PDFselenium: ARES-6 - Google Chromem-queens: Time To Solverenaissance: Twitter HTTP Requestsembree: Pathtracer - Asian Dragon Objselenium: Octane - Firefoxjava-scimark2: Compositegmic: Plotting Isosurface Of A 3D Volume, 1000 Timesbuild-php: Time To Compileembree: Pathtracer ISPC - Asian Dragon Objparaview: Many Spheres - 3840 x 2160paraview: Many Spheres - 3840 x 2160basis: ETC1Sc-ray: Total Time - 4K, 16 Rays Per Pixelselenium: Octane - Google Chromepyperformance: gosockperf: Throughputencode-flac: WAV To FLACminion: Gracefulbuild-ffmpeg: Time To Compilebasis: UASTC Level 3blosc: blosclzxonotic: 3840 x 2160 - Ultimaterav1e: 6libgav1: Summer Nature 1080pnpb: FT.Cmkl-dnn: Recurrent Neural Network Training - f32cython-bench: mkl-dnn: Recurrent Neural Network Inference - f32cpuminer-opt: m7mlzbench: XZ 0 - Compressionlzbench: XZ 0 - Decompressionstress-ng: Context Switchinggegl: Rotate 90 Degreeslulesh: gegl: Antialiasembree: Pathtracer - Crowncpuminer-opt: deepcompress-7zip: Compress Speed Testpyperformance: django_templateembree: Pathtracer ISPC - Crownxonotic: 3840 x 2160 - Ultrapolyhedron: doducpyperformance: crypto_pyaestesseract: 3840 x 2160redis: LPUSHembree: Pathtracer - Asian Dragonredis: SETnumenta-nab: Bayesian Changepointcpuminer-opt: sha256tcpuminer-opt: lbrypolyhedron: mdbxpyperformance: chaosstress-ng: CPU Stressjohn-the-ripper: Blowfishaircrack-ng: stress-ng: Matrix Mathstress-ng: Cryptostress-ng: Socket Activitystress-ng: Vector Mathaom-av1: Speed 0 Two-Passxonotic: 3840 x 2160 - Highembree: Pathtracer ISPC - Asian Dragonaobench: 2048 x 2048 - Total Timepolyhedron: airlzbench: Zstd 8 - Compressionlzbench: Zstd 8 - Decompressionpyperformance: regex_compilepolyhedron: aermoddacapobench: Tradebeanspyperformance: nbodycoremark: CoreMark Size 666 - Iterations Per Secondaom-av1: Speed 6 Realtimecompress-zstd: 3lzbench: Crush 0 - Compressionlzbench: Crush 0 - Decompressiongegl: Reflectselenium: Kraken - Firefoxselenium: Kraken - Google Chromepyperformance: floatpyperformance: json_loadsrav1e: 10gegl: Tile Glassredis: SADDsmhasher: t1ha0_aes_avx2smhasher: t1ha0_aes_avx2xonotic: 3840 x 2160 - Lowbuild-mplayer: Time To Compilepyperformance: pathlibaom-av1: Speed 6 Two-Passlzbench: Brotli 2 - Decompressionlzbench: Brotli 2 - Compressionttsiod-renderer: Phong Rendering With Soft-Shadow Mappingdacapobench: H2xsbench: ebizzy: tungsten: Water Causticmlpack: scikit_svmcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9lzbench: Libdeflate 1 - Compressionlzbench: Libdeflate 1 - Decompressionbuild-imagemagick: Time To Compilebotan: AES-256pyperformance: pickle_pure_pythonbasis: UASTC Level 2lzbench: Brotli 0 - Decompressionlzbench: Brotli 0 - Compressionvpxenc: Speed 5lzbench: Zstd 1 - Decompressionlzbench: Zstd 1 - Compressionrodinia: OpenMP Streamclustermkl-dnn: Deconvolution Batch deconv_1d - f32botan: Blowfishbotan: Twofishbotan: CAST-256botan: KASUMIopenssl: RSA 4096-bit Performancedav1d: Summer Nature 4Krocksdb: Seq Fillpolyhedron: acpybench: Total For Average Test Timesbuild-apache: Time To Compileselenium: PSPDFKit WASM - Firefoxcompress-zstd: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19dav1d: Summer Nature 4Kdav1d: Chimera 1080pselenium: Maze Solver - Firefoxrodinia: OpenMP LavaMDselenium: WASM collisionDetection - Firefoxaom-av1: Speed 4 Two-Passselenium: PSPDFKit WASM - Google Chromeparboil: OpenMP Stenciltungsten: Hairoidn: Memorialdav1d: Chimera 1080pnpb: MG.Cpolyhedron: linpknumenta-nab: Relative Entropymkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch 1D - u8s8f32osbench: Create Threadsswet: Averagebasemark: OpenGL - 3840 x 2160 - Mediumgo-benchmark: jsonrodinia: OpenMP CFD Solverselenium: Maze Solver - Google Chromeprimesieve: 1e12 Prime Number Generationaom-av1: Speed 8 Realtimesockperf: Latency Ping Pongselenium: WASM collisionDetection - Google Chromeneat: gimp: unsharp-maskaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingsmhasher: MeowHashsmhasher: MeowHashbasemark: Vulkan - 3840 x 2160 - Mediumredis: GETsmhasher: Spooky32smhasher: Spooky32bork: File Encryption Timegimp: auto-levelsrays1bench: Large Sceneredis: LPOPdacapobench: Tradesoapgimp: rotatesysbench: CPUsmhasher: fasthash32smhasher: fasthash32selenium: WASM imageConvolute - Firefoxsmhasher: t1ha2_atoncesmhasher: t1ha2_atoncegnupg: 2GB File Encryptiongo-benchmark: garbagex265: H.265 1080p Video Encodingn-queens: Elapsed Timescikit-learn: neatbench: CPUsmhasher: wyhashsmhasher: wyhashipc-benchmark: Unnamed Unix Domain Socket - 4096numenta-nab: Windowed Gaussiangegl: Cropselenium: WASM imageConvolute - Google Chromeipc-benchmark: TCP Socket - 4096encode-mp3: WAV To MP3basis: UASTC Level 0npb: EP.Csmallpt: Global Illumination Renderer; 128 Samplesdacapobench: Jythongimp: resizetungsten: Volumetric Caustictjbench: Decompression Throughputdav1d: Summer Nature 1080pffmpeg: H.264 HD To NTSC DVparaview: Wavelet Volume - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160dav1d: Summer Nature 1080posbench: Create Filesipc-benchmark: FIFO Named Pipe - 4096ipc-benchmark: Unnamed Pipe - 4096osbench: Memory Allocationsosbench: Create Processesosbench: Launch Programsgegl: Scaleparaview: Wavelet Contour - 3840 x 2160paraview: Wavelet Contour - 3840 x 2160tungsten: Non-Exponentialhmmer: Pfam Database Searchnettle: aes256x264: H.264 Video Encodingbullet: Raytestsmultichase: 1GB Array, 256 Byte Stride, 4 Threadsmultichase: 1GB Array, 256 Byte Stride, 2 Threadsmultichase: 1GB Array, 256 Byte Stridecompress-pbzip2: 256MB File Compressionmkl-dnn: Deconvolution Batch deconv_3d - u8s8f32multichase: 256MB Array, 256 Byte Stridemkl-dnn: Deconvolution Batch deconv_3d - f32nettle: sha512multichase: 4MB Array, 64 Byte Stridehackbench: 1 - Threadhackbench: 1 - Processoptcarrot: Optimized Benchmarkparboil: OpenMP CUTCPtscp: AI Chess Performancenettle: chachaior: Write Testior: Read Testctx-clock: Context Switch Timenettle: poly1305-aesblake2: bullet: 136 Ragdollsbullet: 1000 Convexbullet: 1000 Stackbullet: 3000 Fallbullet: Prim Trimeshbullet: Convex Trimeshjava-scimark2: Monte Carlojava-scimark2: Fast Fourier Transformjava-scimark2: Sparse Matrix Multiplyjava-scimark2: Dense LU Matrix Factorizationjava-scimark2: Jacobi Successive Over-RelaxationCore i9 10900KRyzen 9 3950X4227.7463917.81412612.41074.56759.919184.565231.54716.2551961.581817624.5383.3515777.244573.9501704.120294264378188.102505.43139.99473.602894.8921465.498789.16882497.211418131.25426.206072315011249.4042748983.736563036377.63493917.38338.662968.390160.18428.674.363531925009.23102.08323126.764322.00444.12855.403176.703510613895.037096969.134.377.739969419113.6229.32875577.884237.522911882258.92299.75345249.130.978165.15110354.937194179.55149.13243.4536.6934.8516.0990.1651339.48317.185.35111536212.48100555655905.54480457126329.211791.9362.5036.7319.28131.44132.4417312.037.60.205114.391654.489174.86792861.70828.83393.440554164.002915108.87812.580.6706.0422.76230445.25192.8378.93877.05910484.9391762730.38.200.0932788149.161407.90754817.4231946.321142.2463.71935235260191288.55033121.267800884394.7258791.204347992479413791722.192.471.8944.43514.451751383667269317685141441266529888121913056.9110182.36319.02251041953.461161.1852.12355.28444865.781653.215283.520.0006672581.9353.30950.05511.624.0544.9244534341.51578.3664759.642416.40317.4759.6492003.90816.1775387763053.0116.00647.70418.24196344.43763.2842.17752.130541531876396297.69941.96128646.05946.50910910.3318.78440131.622135.3711106.03169.85535.06428.0154407.75511385661607.8432.36911.96064732.11115.4524123976500238.317.7342398.09597256.1383.2431.03372289561.4217.55502770462.536.066102523389173.8779.84730.922325745911.88962670.622677.738781.9394530.770.35438.944933420.512627.1701.9510418841334.57247889.9517909.11868725.312866.613161225.416715.7779.382.518.33.46024.6583071108.1746158.7332.315532.273401329.27314.44.66908233706.6162615263958049590623.694620.9122.326290148225.0334925.38333125.17078354330.43177661517.3063.03768556.522446.240175.908115.3813755.9177.4314319004.3476017.907114821.925185.20700.925.421.053414.42.93138716.40312420.225811.12782.6011256.142.3116.5613.309051.174668.883476972233554304.94310001118.2835.417.18149.013.222343.454713.97011.9461307.362164.7851.81340764.97404.073788204.9241.07315360.875.1249.69381.823942561.2528899.57327065.996931.9947842.5227.132.06517287.647.94978887972.3810.3508.78218.318892.8124.54812608917.6656.76435.727215759326.9746.5141828.537.85233196.1356.98866237.108141671.394.5621305.63981.60735.6110.4744511462821146009756.16331116.39048326.0233884.8221961.623188.235.149024.2818093.59126.492.04396350.12846.16844.6043.1182.2352541.8134.76923639.745.2062.2452.029180.402.71856016237851359.761249.66867.371443725.664.032.2331823.5846573.8102233.3595470.7825030.9371181258.511930.392779.917302.381993.884297.5724112.8089794.61387.04757.9511096.640161.79731.0291783.999801644.8363.8710635.882587.3832727.905252258380251.425365.63641.78342.253301.7181815.569697.187580152.541379621.19285.864001855001725.0932123951.136804585494.24875817.34226.133622.027158.57826.444.5860225113011.2195.64526109.853052.12414.61324.193160.954380487205.366036457.734.382.251867171118.2176.25148538.599218.553615702227.80213.49134653.271.236160.96424431.274319123.52138.22742.7146.8924.1819.1977.8691367.86517.285.53760631703.46047025461491.83242485722727.171070.7068.9342.8523.31113.65114.2414986.637.70.19384.771950.220121.87407445.11433.392101.658951128.45777381.477150.6266.4637.15747139.32234.2589.85588.75999.3470.6659898.8539.67.790.1123762654.263389.03900514.9491617.76874.05070.98942750373394255.8505069.5926476704966.3644011.117194654746331463703.293.562.6695.66021.3524817716674004559596240717741007730150713350.1698170.28819.885184.41657.41892.66661.58557.68816746.009153.768390.190.0006911580.9552.80954.90612.372.0458.1325447145.23064.6171273.682836.60520.2034.3042094.15919.6503345283115.9418.73542.69719.08586546.76165.3042.78831.594492302285907298.25039.55848135.44232.60711288.3308.68312291.49778.4111557.65190.56038.65826.6223838.57431367734523.7437.6409.820943337.29820.8580151509002645.520.0572393.31176436.5697.2364.89691666744.7821.43021992290.8626.176119460469104.271006620.822774058218.49677933.944743.6111945.15148736.740.34442.198074221.360031.1311.6211117141555.494064101711755.16247419.224013.611452929.718725.2743.110222.03.24129.0612357409.7544.390511920.96715.54.16780222834.37932932653413137302621.390019.2124.112271129820.8605865.12742419.04866155525.53156356825.5172.55517479.252393.003156.180101.0254707.4187.3512924415.8989420.240130415.514204.01519.764.514.967351.92.71150915.10602313.606712.73626.9510835.783.0514.3914.589091.3422812.243907816912713187.04232163110.9144.111.82138.243.835278.321012.95714.7761164.691924.76415.322609128.258.57811.692108.202716044.92344210.54234951.108226.211.19475070262.856.7608.27326.210886546.6957.53835.895214453026.9547.1971077.265.23740106.6895.53479221.087385547.697.1973246.419202.90587.6211.6335632260588226810569.22761627.79722235.9233225.0421976.572189.674.407515.0866114.17159.922.08416170.20067.81167.3662.6347467.1944.37431640.164.7203.0162.711141.621.3246641320223992.023279.041083.441402711.197.642.1508083.7452954.0477313.3672860.7887580.9431351752.902134.312784.066834.752073.68OpenBenchmarking.org

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigCore i9 10900KRyzen 9 3950X9001800270036004500SE +/- 3.54, N = 3SE +/- 0.87, N = 34227.754297.571. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds x Core, Fewer Is BetterPennant 1.0.1Performance Per Core - Test: sedovbigCore i9 10900KRyzen 9 3950X15K30K45K60K75K42277.4668761.151. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgHydro Cycle Time - Seconds x Thread, Fewer Is BetterPennant 1.0.1Performance Per Thread - Test: sedovbigCore i9 10900KRyzen 9 3950X30K60K90K120K150K84554.92137522.301. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgHydro Cycle Time - Seconds x GHz, Fewer Is BetterPennant 1.0.1Performance Per Clock - Test: sedovbigCore i9 10900KRyzen 9 3950X5K10K15K20K25K22407.0515041.501. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigCore i9 10900KRyzen 9 3950X7001400210028003500Min: 4223.15 / Avg: 4227.75 / Max: 4234.7Min: 4295.89 / Avg: 4297.57 / Max: 4298.811. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigCore i9 10900KRyzen 9 3950X9001800270036004500SE +/- 7.07, N = 3SE +/- 0.22, N = 33917.814112.811. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds x Core, Fewer Is BetterPennant 1.0.1Performance Per Core - Test: leblancbigCore i9 10900KRyzen 9 3950X14K28K42K56K70K39178.1465804.931. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgHydro Cycle Time - Seconds x Thread, Fewer Is BetterPennant 1.0.1Performance Per Thread - Test: leblancbigCore i9 10900KRyzen 9 3950X30K60K90K120K150K78356.28131609.861. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgHydro Cycle Time - Seconds x GHz, Fewer Is BetterPennant 1.0.1Performance Per Clock - Test: leblancbigCore i9 10900KRyzen 9 3950X4K8K12K16K20K20764.4114394.831. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigCore i9 10900KRyzen 9 3950X7001400210028003500Min: 3906.08 / Avg: 3917.81 / Max: 3930.52Min: 4112.37 / Avg: 4112.81 / Max: 4113.091. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

NWChem

NWChem is an open-source high performance computational chemistry package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0Input: C240 BuckyballCore i9 10900KRyzen 9 3950X3K6K9K12K15K12612.49794.61. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterNWChem 7.0Performance Per Core - Input: C240 BuckyballCore i9 10900KRyzen 9 3950X30K60K90K120K150K126124.0156713.61. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterNWChem 7.0Performance Per Thread - Input: C240 BuckyballCore i9 10900KRyzen 9 3950X70K140K210K280K350K252248.0313427.21. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterNWChem 7.0Performance Per Clock - Input: C240 BuckyballCore i9 10900KRyzen 9 3950X14K28K42K56K70K66845.7234281.101. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: Google ChromeCore i9 10900KRyzen 9 3950X30060090012001500SE +/- 33.67, N = 9SE +/- 35.92, N = 91074.561387.041. chrome 83.0.4103.61
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: Google ChromeCore i9 10900KRyzen 9 3950X2004006008001000Min: 950.64 / Avg: 1074.56 / Max: 1250.93Min: 1242.52 / Avg: 1387.04 / Max: 1528.631. chrome 83.0.4103.61

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i9 10900KRyzen 9 3950X160320480640800SE +/- 18.46, N = 9SE +/- 12.24, N = 9759.91757.951. firefox 76.0.1
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i9 10900KRyzen 9 3950X130260390520650Min: 661.44 / Avg: 759.91 / Max: 827.99Min: 677.19 / Avg: 757.95 / Max: 801.861. firefox 76.0.1

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3950X2K4K6K8K10KSE +/- 77.78, N = 20SE +/- 87.47, N = 59184.5711096.64
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3950X40K80K120K160K200K91845.65177546.241. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3950X80K160K240K320K400K183691.30355092.481. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3950X10K20K30K40K50K48678.2038838.241. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3950X2K4K6K8K10KMin: 8373.34 / Avg: 9184.57 / Max: 9948.11Min: 10831.09 / Avg: 11096.64 / Max: 11369.24

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: MotionMark - Browser: FirefoxCore i9 10900KRyzen 9 3950X50100150200250SE +/- 26.64, N = 6SE +/- 13.00, N = 9231.54161.791. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxCore i9 10900KRyzen 9 3950X4080120160200Min: 118.93 / Avg: 231.54 / Max: 291.07Min: 105.65 / Avg: 161.79 / Max: 224.691. firefox 76.0.1

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileCore i9 10900KRyzen 9 3950X160320480640800SE +/- 1.03, N = 3SE +/- 1.36, N = 3716.26731.03
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed GCC Compilation 9.3.0Performance Per Core - Time To CompileCore i9 10900KRyzen 9 3950X3K6K9K12K15K7162.5511696.461. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed GCC Compilation 9.3.0Performance Per Thread - Time To CompileCore i9 10900KRyzen 9 3950X5K10K15K20K25K14325.1023392.931. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed GCC Compilation 9.3.0Performance Per Clock - Time To CompileCore i9 10900KRyzen 9 3950X80016002400320040003796.152558.601. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileCore i9 10900KRyzen 9 3950X130260390520650Min: 714.24 / Avg: 716.25 / Max: 717.66Min: 728.59 / Avg: 731.03 / Max: 733.31

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: All AlgorithmsCore i9 10900KRyzen 9 3950X400800120016002000SE +/- 0.44, N = 3SE +/- 1.19, N = 31961.581784.001. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second Per Core, More Is BetterCrypto++ 8.2Performance Per Core - Test: All AlgorithmsCore i9 10900KRyzen 9 3950X4080120160200196.16111.501. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgMiB/second Per Thread, More Is BetterCrypto++ 8.2Performance Per Thread - Test: All AlgorithmsCore i9 10900KRyzen 9 3950X2040608010098.0855.751. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgMiB/second Per GHz, More Is BetterCrypto++ 8.2Performance Per Clock - Test: All AlgorithmsCore i9 10900KRyzen 9 3950X110220330440550370.11509.711. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: All AlgorithmsCore i9 10900KRyzen 9 3950X30060090012001500Min: 1960.74 / Avg: 1961.58 / Max: 1962.26Min: 1781.81 / Avg: 1784 / Max: 1785.881. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

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: EXPoSECore i9 10900KRyzen 9 3950X140280420560700SE +/- 1.51, N = 3SE +/- 3.61, N = 3624.54644.84
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Core - Detector: EXPoSECore i9 10900KRyzen 9 3950X2K4K6K8K10K6245.3810317.381. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Thread - Detector: EXPoSECore i9 10900KRyzen 9 3950X4K8K12K16K20K12490.7620634.751. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Clock - Detector: EXPoSECore i9 10900KRyzen 9 3950X70014002100280035003310.052256.931. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSECore i9 10900KRyzen 9 3950X110220330440550Min: 621.96 / Avg: 624.54 / Max: 627.18Min: 637.71 / Avg: 644.84 / Max: 649.38

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: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3950X0.87081.74162.61243.48324.354SE +/- 0.01, N = 3SE +/- 0.03, N = 33.353.87
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3950X0.07540.15080.22620.30160.3770.33500.24191. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3950X0.03770.07540.11310.15080.18850.16750.12091. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3950X0.24980.49960.74940.99921.2490.63211.11001. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3950X246810Min: 3.33 / Avg: 3.35 / Max: 3.36Min: 3.82 / Avg: 3.87 / Max: 3.9

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IOCore i9 10900KRyzen 9 3950X3K6K9K12K15KSE +/- 140.82, N = 5SE +/- 130.33, N = 2515777.2410635.88
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Savina Reactors.IOCore i9 10900KRyzen 9 3950X40K80K120K160K200K157772.44170174.111. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Savina Reactors.IOCore i9 10900KRyzen 9 3950X70K140K210K280K350K315544.88340348.221. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Savina Reactors.IOCore i9 10900KRyzen 9 3950X20K40K60K80K100K83619.3937225.591. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IOCore i9 10900KRyzen 9 3950X3K6K9K12K15KMin: 15356.57 / Avg: 15777.24 / Max: 16142.33Min: 9014.37 / Avg: 10635.88 / Max: 11728.39

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 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3950X130260390520650SE +/- 0.41, N = 3SE +/- 0.82, N = 3573.95587.381. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterBasis Universal 1.12Performance Per Core - Settings: UASTC Level 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3950X2K4K6K8K10K5739.509398.131. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterBasis Universal 1.12Performance Per Thread - Settings: UASTC Level 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3950X4K8K12K16K20K11479.0018796.261. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterBasis Universal 1.12Performance Per Clock - Settings: UASTC Level 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3950X70014002100280035003041.942055.841. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3950X100200300400500Min: 573.25 / Avg: 573.95 / Max: 574.68Min: 586.06 / Avg: 587.38 / Max: 588.871. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesCore i9 10900KRyzen 9 3950X6001200180024003000SE +/- 12.37, N = 17SE +/- 107.08, N = 251704.122727.91
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Apache Spark BayesCore i9 10900KRyzen 9 3950X9K18K27K36K45K17041.2043646.481. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Apache Spark BayesCore i9 10900KRyzen 9 3950X20K40K60K80K100K34082.4087292.961. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Apache Spark BayesCore i9 10900KRyzen 9 3950X2K4K6K8K10K9031.849547.671. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesCore i9 10900KRyzen 9 3950X5001000150020002500Min: 1610.87 / Avg: 1704.12 / Max: 1822.07Min: 1716.25 / Avg: 2727.91 / Max: 3119.58

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: WebXPRT - Browser: FirefoxCore i9 10900KRyzen 9 3950X60120180240300SE +/- 1.20, N = 32942521. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxCore i9 10900KRyzen 9 3950X50100150200250Min: 250 / Avg: 252.33 / Max: 2541. firefox 76.0.1

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeCore i9 10900KRyzen 9 3950X60120180240300SE +/- 1.20, N = 32642581. chrome 83.0.4103.61
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeCore i9 10900KRyzen 9 3950X50100150200250Min: 262 / Avg: 264.33 / Max: 2661. chrome 83.0.4103.61

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.25Backend: BLASCore i9 10900KRyzen 9 3950X80160240320400SE +/- 1.53, N = 3SE +/- 4.96, N = 53783801. (CXX) g++ options: -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.25Performance Per Core - Backend: BLASCore i9 10900KRyzen 9 3950X91827364537.8023.751. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.25Performance Per Thread - Backend: BLASCore i9 10900KRyzen 9 3950X51015202518.9011.881. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.25Performance Per Clock - Backend: BLASCore i9 10900KRyzen 9 3950X2040608010071.32108.571. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.25Backend: BLASCore i9 10900KRyzen 9 3950X70140210280350Min: 375 / Avg: 378 / Max: 380Min: 367 / Avg: 380.4 / Max: 3971. (CXX) g++ options: -pthread

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorCore i9 10900KRyzen 9 3950X50100150200250SE +/- 3.04, N = 3SE +/- 3.37, N = 9188.10251.43
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterJava Gradle BuildPerformance Per Core - Gradle Build: ReactorCore i9 10900KRyzen 9 3950X90018002700360045001881.024022.801. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterJava Gradle BuildPerformance Per Thread - Gradle Build: ReactorCore i9 10900KRyzen 9 3950X2K4K6K8K10K3762.048045.601. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterJava Gradle BuildPerformance Per Clock - Gradle Build: ReactorCore i9 10900KRyzen 9 3950X2004006008001000996.94879.991. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorCore i9 10900KRyzen 9 3950X50100150200250Min: 182.63 / Avg: 188.1 / Max: 193.11Min: 236.16 / Avg: 251.43 / Max: 265.69

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 i9 10900KRyzen 9 3950X110220330440550SE +/- 3.16, N = 3SE +/- 0.79, N = 3505.43365.64
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Core - Time To CompileCore i9 10900KRyzen 9 3950X130026003900520065005054.315850.181. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Thread - Time To CompileCore i9 10900KRyzen 9 3950X3K6K9K12K15K10108.6211700.351. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Clock - Time To CompileCore i9 10900KRyzen 9 3950X60012001800240030002678.781279.731. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i9 10900KRyzen 9 3950X90180270360450Min: 499.15 / Avg: 505.43 / Max: 509.14Min: 364.26 / Avg: 365.64 / Max: 367.01

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: gas_dyn2Core i9 10900KRyzen 9 3950X102030405039.9941.78
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Core - Benchmark: gas_dyn2Core i9 10900KRyzen 9 3950X140280420560700399.90668.481. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Thread - Benchmark: gas_dyn2Core i9 10900KRyzen 9 3950X30060090012001500799.801336.961. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Clock - Benchmark: gas_dyn2Core i9 10900KRyzen 9 3950X50100150200250211.95146.231. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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 2.82Blend File: Barbershop - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X100200300400500SE +/- 0.23, N = 3SE +/- 0.29, N = 3473.60342.25
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterBlender 2.82Performance Per Core - Blend File: Barbershop - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X12002400360048006000473654761. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterBlender 2.82Performance Per Thread - Blend File: Barbershop - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X2K4K6K8K10K9472109521. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterBlender 2.82Performance Per Clock - Blend File: Barbershop - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X50010001500200025002510.081197.881. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Barbershop - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X80160240320400Min: 473.13 / Avg: 473.6 / Max: 473.85Min: 341.87 / Avg: 342.25 / Max: 342.81

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankCore i9 10900KRyzen 9 3950X7001400210028003500SE +/- 26.21, N = 5SE +/- 44.27, N = 252894.893301.72
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Apache Spark PageRankCore i9 10900KRyzen 9 3950X11K22K33K44K55K28948.9252827.491. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Apache Spark PageRankCore i9 10900KRyzen 9 3950X20K40K60K80K100K57897.84105654.981. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Apache Spark PageRankCore i9 10900KRyzen 9 3950X3K6K9K12K15K15342.9311556.011. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankCore i9 10900KRyzen 9 3950X6001200180024003000Min: 2844.62 / Avg: 2894.89 / Max: 2976.9Min: 2813.15 / Avg: 3301.72 / Max: 3715.83

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestCore i9 10900KRyzen 9 3950X400800120016002000SE +/- 11.50, N = 5SE +/- 15.00, N = 251465.501815.57
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Random ForestCore i9 10900KRyzen 9 3950X6K12K18K24K30K14654.9829049.101. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Random ForestCore i9 10900KRyzen 9 3950X12K24K36K48K60K29309.9658098.211. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Random ForestCore i9 10900KRyzen 9 3950X170034005100680085007767.146354.491. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestCore i9 10900KRyzen 9 3950X30060090012001500Min: 1433.85 / Avg: 1465.5 / Max: 1497.52Min: 1665.21 / Avg: 1815.57 / Max: 1964.93

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3950X2004006008001000SE +/- 0.18, N = 3SE +/- 1.06, N = 3789.17697.191. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second Per Core, More Is BetterCrypto++ 8.2Performance Per Core - Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3950X2040608010078.9243.571. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgMiB/second Per Thread, More Is BetterCrypto++ 8.2Performance Per Thread - Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3950X91827364539.4621.791. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgMiB/second Per GHz, More Is BetterCrypto++ 8.2Performance Per Clock - Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3950X4080120160200148.9199.21. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3950X140280420560700Min: 788.8 / Avg: 789.17 / Max: 789.36Min: 695.65 / Avg: 697.19 / Max: 699.231. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Core-Latency

This is a test of core-latency, which measures the latency between all core combinations on the system processor(s). Reported is the average latency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns, Fewer Is BetterCore-LatencyAverage Latency Between CPU CoresCore i9 10900KRyzen 9 3950X30609012015097.21152.54MIN: 20.27 / MAX: 148.07MIN: 43.27 / MAX: 177.911. (CXX) g++ options: -std=c++11 -pthread -O3
OpenBenchmarking.orgns x Core, Fewer Is BetterCore-LatencyPerformance Per Core - Average Latency Between CPU CoresCore i9 10900KRyzen 9 3950X5001000150020002500972.102440.641. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgns x Thread, Fewer Is BetterCore-LatencyPerformance Per Thread - Average Latency Between CPU CoresCore i9 10900KRyzen 9 3950X100020003000400050001944.204881.281. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgns x GHz, Fewer Is BetterCore-LatencyPerformance Per Clock - Average Latency Between CPU CoresCore i9 10900KRyzen 9 3950X120240360480600515.21533.891. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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: CanvasMark - Browser: FirefoxCore i9 10900KRyzen 9 3950X3K6K9K12K15KSE +/- 136.13, N = 3SE +/- 165.75, N = 1214181137961. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i9 10900KRyzen 9 3950X2K4K6K8K10KMin: 13924 / Avg: 14181.33 / Max: 14387Min: 12837 / Avg: 13795.58 / Max: 143791. firefox 76.0.1

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitCore i9 10900KRyzen 9 3950X714212835SE +/- 0.05, N = 3SE +/- 0.04, N = 331.2521.191. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS Per Core, More Is Betterlibgav1 2019-10-05Performance Per Core - Video Input: Chimera 1080p 10-bitCore i9 10900KRyzen 9 3950X0.70431.40862.11292.81723.52153.131.321. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgFPS Per Thread, More Is Betterlibgav1 2019-10-05Performance Per Thread - Video Input: Chimera 1080p 10-bitCore i9 10900KRyzen 9 3950X0.3510.7021.0531.4041.7551.56000.66221. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgFPS Per GHz, More Is Betterlibgav1 2019-10-05Performance Per Clock - Video Input: Chimera 1080p 10-bitCore i9 10900KRyzen 9 3950X2468105.906.051. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitCore i9 10900KRyzen 9 3950X714212835Min: 31.16 / Avg: 31.25 / Max: 31.32Min: 21.13 / Avg: 21.19 / Max: 21.271. (CXX) g++ options: -O3 -lpthread

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 2.82Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X90180270360450SE +/- 0.52, N = 3SE +/- 0.15, N = 3426.20285.86
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterBlender 2.82Performance Per Core - Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X100020003000400050004262.004573.761. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterBlender 2.82Performance Per Thread - Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X2K4K6K8K10K8524.009147.521. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterBlender 2.82Performance Per Clock - Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X50010001500200025002258.861000.511. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X80160240320400Min: 425.46 / Avg: 426.2 / Max: 427.2Min: 285.66 / Avg: 285.86 / Max: 286.16

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.25Backend: EigenCore i9 10900KRyzen 9 3950X130260390520650SE +/- 9.02, N = 3SE +/- 4.04, N = 36074001. (CXX) g++ options: -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.25Performance Per Core - Backend: EigenCore i9 10900KRyzen 9 3950X142842567060.725.01. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.25Performance Per Thread - Backend: EigenCore i9 10900KRyzen 9 3950X71421283530.3512.501. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.25Performance Per Clock - Backend: EigenCore i9 10900KRyzen 9 3950X306090120150114.53114.291. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.25Backend: EigenCore i9 10900KRyzen 9 3950X110220330440550Min: 593 / Avg: 607.33 / Max: 624Min: 392 / Avg: 400 / Max: 4051. (CXX) g++ options: -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.25Backend: RandomCore i9 10900KRyzen 9 3950X50K100K150K200K250KSE +/- 473.05, N = 3SE +/- 51.41, N = 32315011855001. (CXX) g++ options: -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.25Performance Per Core - Backend: RandomCore i9 10900KRyzen 9 3950X5K10K15K20K25K23150.1011593.751. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.25Performance Per Thread - Backend: RandomCore i9 10900KRyzen 9 3950X2K4K6K8K10K11575.055796.881. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.25Performance Per Clock - Backend: RandomCore i9 10900KRyzen 9 3950X11K22K33K44K55K43679.4353000.001. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.25Backend: RandomCore i9 10900KRyzen 9 3950X40K80K120K160K200KMin: 230642 / Avg: 231500.67 / Max: 232274Min: 185430 / Avg: 185499.67 / Max: 1856001. (CXX) g++ options: -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + FuturesCore i9 10900KRyzen 9 3950X400800120016002000SE +/- 9.89, N = 25SE +/- 13.66, N = 51249.401725.09
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Genetic Algorithm Using Jenetics + FuturesCore i9 10900KRyzen 9 3950X6K12K18K24K30K12494.0427601.491. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Genetic Algorithm Using Jenetics + FuturesCore i9 10900KRyzen 9 3950X12K24K36K48K60K24988.0855202.981. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Genetic Algorithm Using Jenetics + FuturesCore i9 10900KRyzen 9 3950X140028004200560070006621.846037.831. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + FuturesCore i9 10900KRyzen 9 3950X30060090012001500Min: 1169.27 / Avg: 1249.4 / Max: 1354.36Min: 1674.61 / Avg: 1725.09 / Max: 1755.8

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3950X6K12K18K24K30KSE +/- 258.29, N = 327489212391. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops Per Core, More Is BetterFFTW 3.3.6Performance Per Core - Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3950X60012001800240030002748.901327.441. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgMflops Per Thread, More Is BetterFFTW 3.3.6Performance Per Thread - Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3950X300600900120015001374.45663.721. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgMflops Per GHz, More Is BetterFFTW 3.3.6Performance Per Clock - Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3950X130026003900520065005186.606068.291. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3950X5K10K15K20K25KMin: 27059 / Avg: 27489.33 / Max: 279521. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pCore i9 10900KRyzen 9 3950X20406080100SE +/- 2.10, N = 12SE +/- 0.01, N = 383.7351.131. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS Per Core, More Is Betterlibgav1 2019-10-05Performance Per Core - Video Input: Chimera 1080pCore i9 10900KRyzen 9 3950X2468108.373.201. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgFPS Per Thread, More Is Betterlibgav1 2019-10-05Performance Per Thread - Video Input: Chimera 1080pCore i9 10900KRyzen 9 3950X0.94281.88562.82843.77124.7144.191.601. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgFPS Per GHz, More Is Betterlibgav1 2019-10-05Performance Per Clock - Video Input: Chimera 1080pCore i9 10900KRyzen 9 3950X4812162015.8014.611. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pCore i9 10900KRyzen 9 3950X1632486480Min: 60.59 / Avg: 83.73 / Max: 85.93Min: 51.11 / Avg: 51.13 / Max: 51.161. (CXX) g++ options: -O3 -lpthread

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillCore i9 10900KRyzen 9 3950X150K300K450K600K750KSE +/- 27594.22, N = 15SE +/- 26686.09, N = 156563036804581. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s Per Core, More Is BetterFacebook RocksDB 6.3.6Performance Per Core - Test: Random FillCore i9 10900KRyzen 9 3950X14K28K42K56K70K65630.3042528.631. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgOp/s Per Thread, More Is BetterFacebook RocksDB 6.3.6Performance Per Thread - Test: Random FillCore i9 10900KRyzen 9 3950X7K14K21K28K35K32815.1521264.311. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgOp/s Per GHz, More Is BetterFacebook RocksDB 6.3.6Performance Per Clock - Test: Random FillCore i9 10900KRyzen 9 3950X40K80K120K160K200K123830.75194416.571. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillCore i9 10900KRyzen 9 3950X120K240K360K480K600KMin: 570551 / Avg: 656303.27 / Max: 897976Min: 561684 / Avg: 680457.73 / Max: 8947631. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3950X14002800420056007000SE +/- 3.25, N = 3SE +/- 69.75, N = 46377.635494.251. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second Per Core, More Is BetterCrypto++ 8.2Performance Per Core - Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3950X140280420560700637.76343.391. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgMiB/second Per Thread, More Is BetterCrypto++ 8.2Performance Per Thread - Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3950X70140210280350318.88171.701. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgMiB/second Per GHz, More Is BetterCrypto++ 8.2Performance Per Clock - Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3950X300600900120015001203.331569.791. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3950X11002200330044005500Min: 6372.2 / Avg: 6377.63 / Max: 6383.43Min: 5367.68 / Avg: 5494.25 / Max: 5670.621. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

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: MotionMark - Browser: Google ChromeCore i9 10900KRyzen 9 3950X0.2250.450.6750.91.125111. chrome 83.0.4103.61

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 i9 10900KRyzen 9 3950X246810SE +/- 0.03, N = 3SE +/- 0.05, N = 37.387.34
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3950X0.16610.33220.49830.66440.83050.73800.45881. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3950X0.0830.1660.2490.3320.4150.36900.22941. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3950X0.47250.9451.41751.892.36251.392.101. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3950X3691215Min: 7.33 / Avg: 7.38 / Max: 7.41Min: 7.25 / Avg: 7.34 / Max: 7.41

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 2.82Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X70140210280350SE +/- 0.37, N = 3SE +/- 0.11, N = 3338.66226.13
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterBlender 2.82Performance Per Core - Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X80016002400320040003386.603618.081. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterBlender 2.82Performance Per Thread - Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X160032004800640080006773.207236.161. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterBlender 2.82Performance Per Clock - Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X4008001200160020001794.90791.461. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3950X60120180240300Min: 338.25 / Avg: 338.66 / Max: 339.41Min: 225.94 / Avg: 226.13 / Max: 226.33

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3950X8001600240032004000SE +/- 72.40, N = 25SE +/- 20.57, N = 52968.393622.03
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3950X12K24K36K48K60K29683.9057952.431. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3950X20K40K60K80K100K59367.80115904.861. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3950X3K6K9K12K15K15732.4712677.101. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3950X6001200180024003000Min: 2566.94 / Avg: 2968.39 / Max: 3339.1Min: 3565.82 / Avg: 3622.03 / Max: 3677.2

Unigine Heaven

This test calculates the average frame-rate within the Heaven demo for the Unigine engine. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1080 - Mode: Windowed - Renderer: OpenGLCore i9 10900KRyzen 9 3950X4080120160200SE +/- 0.06, N = 3SE +/- 0.16, N = 3160.18158.58
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1080 - Mode: Windowed - Renderer: OpenGLCore i9 10900KRyzen 9 3950X306090120150Min: 160.08 / Avg: 160.18 / Max: 160.28Min: 158.31 / Avg: 158.58 / Max: 158.87

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: test_fpu2Core i9 10900KRyzen 9 3950X71421283528.6726.44
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Core - Benchmark: test_fpu2Core i9 10900KRyzen 9 3950X90180270360450286.70423.041. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Thread - Benchmark: test_fpu2Core i9 10900KRyzen 9 3950X2004006008001000573.40846.081. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Clock - Benchmark: test_fpu2Core i9 10900KRyzen 9 3950X306090120150151.9592.541. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 10900KRyzen 9 3950X1.03192.06383.09574.12765.1595SE +/- 0.00722, N = 3SE +/- 0.00102, N = 34.363534.586021. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Core, More Is BetterHigh Performance Conjugate Gradient 3.1Performance Per CoreCore i9 10900KRyzen 9 3950X0.09820.19640.29460.39280.4910.43640.28661. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgGFLOP/s Per Thread, More Is BetterHigh Performance Conjugate Gradient 3.1Performance Per ThreadCore i9 10900KRyzen 9 3950X0.04910.09820.14730.19640.24550.21820.14331. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgGFLOP/s Per GHz, More Is BetterHigh Performance Conjugate Gradient 3.1Performance Per ClockCore i9 10900KRyzen 9 3950X0.29480.58960.88441.17921.4740.82331.31001. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 10900KRyzen 9 3950X246810Min: 4.35 / Avg: 4.36 / Max: 4.38Min: 4.58 / Avg: 4.59 / Max: 4.591. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

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 i9 10900KRyzen 9 3950X50K100K150K200K250K192500251130-lXi -luuid1. (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 -lm
OpenBenchmarking.orgVGR Performance Metric Per Core, More Is BetterBRL-CAD 7.30.8Performance Per Core - VGR Performance MetricCore i9 10900KRyzen 9 3950X4K8K12K16K20K19250.0015695.631. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgVGR Performance Metric Per Thread, More Is BetterBRL-CAD 7.30.8Performance Per Thread - VGR Performance MetricCore i9 10900KRyzen 9 3950X2K4K6K8K10K9625.007847.811. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgVGR Performance Metric Per GHz, More Is BetterBRL-CAD 7.30.8Performance Per Clock - VGR Performance MetricCore i9 10900KRyzen 9 3950X15K30K45K60K75K36320.7571751.431. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3950X3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 39.2311.21
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3950X0.20770.41540.62310.83081.03850.92300.70061. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3950X0.10380.20760.31140.41520.5190.46150.35031. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3950X0.721.442.162.883.61.743.201. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3950X3691215Min: 9.2 / Avg: 9.23 / Max: 9.27Min: 11.16 / Avg: 11.21 / Max: 11.25

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 i9 10900KRyzen 9 3950X20406080100SE +/- 0.35, N = 3SE +/- 0.45, N = 3102.0895.651. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i9 10900KRyzen 9 3950X20406080100Min: 101.38 / Avg: 102.08 / Max: 102.53Min: 94.77 / Avg: 95.65 / Max: 96.281. firefox 76.0.1

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkCore i9 10900KRyzen 9 3950X6K12K18K24K30KSE +/- 185.38, N = 3SE +/- 7.19, N = 323126.7626109.851. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit Per Core, More Is BetterAlgebraic Multi-Grid BenchmarkPerformance Per CoreCore i9 10900KRyzen 9 3950X50010001500200025002312.681631.871. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgFigure Of Merit Per Thread, More Is BetterAlgebraic Multi-Grid BenchmarkPerformance Per ThreadCore i9 10900KRyzen 9 3950X20040060080010001156.34815.931. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgFigure Of Merit Per GHz, More Is BetterAlgebraic Multi-Grid BenchmarkPerformance Per ClockCore i9 10900KRyzen 9 3950X160032004800640080004363.547459.961. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkCore i9 10900KRyzen 9 3950X5K10K15K20K25KMin: 22756.52 / Avg: 23126.76 / Max: 23328.93Min: 26101.08 / Avg: 26109.85 / Max: 26124.11. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: ReadCore i9 10900KRyzen 9 3950X9001800270036004500SE +/- 0.09, N = 3SE +/- 33.95, N = 74322.003052.12MIN: 4313.62 / MAX: 4326.38MIN: 3011.38 / MAX: 3255.591. (CC) gcc options: -lrt
OpenBenchmarking.orgMB/s Per Core, More Is BetterCacheBenchPerformance Per Core - Test: ReadCore i9 10900KRyzen 9 3950X90180270360450432.20190.761. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgMB/s Per Thread, More Is BetterCacheBenchPerformance Per Thread - Test: ReadCore i9 10900KRyzen 9 3950X50100150200250216.1095.381. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgMB/s Per GHz, More Is BetterCacheBenchPerformance Per Clock - Test: ReadCore i9 10900KRyzen 9 3950X2004006008001000815.47872.031. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50
OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: ReadCore i9 10900KRyzen 9 3950X8001600240032004000Min: 4321.82 / Avg: 4322 / Max: 4322.11Min: 3012.96 / Avg: 3052.12 / Max: 3255.471. (CC) gcc options: -lrt

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 i9 10900KRyzen 9 3950X100200300400500SE +/- 3.41, N = 3SE +/- 3.33, N = 3444.12414.61
OpenBenchmarking.orgScore Per Core, More Is BetterNumpy BenchmarkPerformance Per CoreCore i9 10900KRyzen 9 3950X102030405044.4125.911. Core i9 10900K: Detected core count of 102. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgScore Per Thread, More Is BetterNumpy BenchmarkPerformance Per ThreadCore i9 10900KRyzen 9 3950X51015202522.2112.961. Core i9 10900K: Detected thread count of 202. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgScore Per GHz, More Is BetterNumpy BenchmarkPerformance Per ClockCore i9 10900KRyzen 9 3950X306090120150