Core i9 10900K vs. Ryzen 9 3900X/3950X Linux Benchmarks

Comparison with newest i9 and Ryzen 9

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2006081-NI-2005283PT92
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Audio Encoding 2 Tests
AV1 3 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 39 Tests
Compression Tests 7 Tests
CPU Massive 66 Tests
Creator Workloads 34 Tests
Cryptography 10 Tests
Database Test Suite 3 Tests
Desktop Graphics 5 Tests
Encoding 9 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 60 Tests
NVIDIA GPU Compute 8 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 7 Tests
Common Workstation Benchmarks 10 Tests

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Core i9 10900K
May 20 2020
  1 Day, 16 Hours, 33 Minutes
Ryzen 9 3900X
May 26 2020
  1 Day, 15 Hours, 33 Minutes
Ryzen 9 3950X
May 22 2020
  1 Day, 15 Hours, 25 Minutes
Ryzen 2700X
June 03 2020
  1 Day, 3 Hours, 18 Minutes
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  1 Day, 12 Hours, 42 Minutes

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Core i9 10900K vs. Ryzen 9 3900X/3950X Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionOpenCLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700XIntel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GBSamsung SSD 970 EVO 250GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2060/875MHz)Realtek ALC1220Intel Device 15f3 + Intel Wi-Fi 6 AX201Ubuntu 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 9.3.0ext43840x2160AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1201 BIOS)AMD Starship/MatisseAMD Navi 10 HDMI AudioRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads)ASRock AB350 Gaming-ITX/ac (P5.30 BIOS)AMD 17h32GB1000GB Samsung SSD 970 EVO Plus 1TBASUS NVIDIA GeForce GT 1030 2GB (1227/3003MHz)NVIDIA GP108 HD AudioSyncMasterIntel I211 + Intel Dual Band-AC 3168NGW5.4.0-31-generic (x86_64)GNOME Shell 3.36.2NVIDIA 440.644.6.0OpenCL 1.2 CUDA 10.2.1413840x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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 Disk Details- NONE / errors=remount-ro,relatime,rwProcessor Details- Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- Ryzen 9 3900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- Ryzen 9 3950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- Ryzen 2700X: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x800820dJava Details- Core i9 10900K: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)- Ryzen 9 3900X: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)- Ryzen 9 3950X: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)- Ryzen 2700X: OpenJDK Runtime Environment (build 1.8.0_252-8u252-b09-1ubuntu1-b09)Python Details- Python 2.7.18rc1 + Python 3.8.2Security Details- 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 3900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + 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 2700X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + tsx_async_abort: Not affected Graphics Details- Ryzen 9 3900X, Ryzen 9 3950X: GLAMOROpenCL Details- Ryzen 2700X: GPU Compute Cores: 384

Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700XLogarithmic Result OverviewPhoronix Test Suite 10.8.0Unigine HeavenACES DGEMMrays1benchOpenSSLoneDNN MKL-DNNebizzyIndigoBenchBRL-CADCP2K Molecular DynamicsOpenVKLTimed LLVM CompilationTimed MPlayer Compilation7-Zip CompressionTimed Linux Kernel CompilationTachyonJohn The RipperasmFishSmallptStockfishTesseractCoremarkN-QueensNAMDYafaRayC-RayPrimesieveBLAKE2Hackbenchm-queensTTSIOD 3D RendererTimed FFmpeg CompilationSysbenchx264Go BenchmarksTimed ImageMagick CompilationAppleseedCore-LatencyTungsten RendererPennantUnigine SuperpositionAlgebraic Multi-Grid BenchmarkLULESHGraphicsMagickStress-NGRodiniaBork File EncrypterNumenta Anomaly BenchmarkTimed PHP CompilationXZ CompressionMultichase Pointer ChaserGnuPGPlaidMLOptcarrotx265RedisIPC_benchmarkZstd CompressionFacebook RocksDBTimed GCC CompilationXsbenchSQLite Speedtestdav1dParboilOSBenchFFmpegPerl BenchmarksFFTWTimed MrBayes AnalysisASKAPNebular Empirical Analysis ToolNumpy BenchmarkHierarchical INTegrationBasis UniversalTSCPIORTimed HMMer SearchHigh Performance Conjugate GradientVP9 libvpx EncodingET: LegacyJava Gradle BuildPyBenchRadiance BenchmarkSwetNAS Parallel BenchmarksNettleMlpack Benchmarklibjpeg-turbo tjbenchLibreOfficectx_clockAOBenchGIMPGitlzbenchDeepSpeechGzip CompressionCacheBenchCrypto++FLAC Audio EncodingLAME MP3 EncodingBullet Physics EngineRenaissanceMinionJava SciMarkBotanSeleniumHimeno Benchmark

Core i9 10900K vs. Ryzen 9 3900X/3950X Linux Benchmarksnwchem: C240 Buckyballpennant: sedovbigpennant: leblancbigselenium: Basemark - Google Chromeselenium: MotionMark - Firefoxselenium: Basemark - Firefoxbuild-gcc: Time To Compilerenaissance: Savina Reactors.IOrenaissance: Akka Unbalanced Cobwebbed Treecryptopp: All Algorithmsplaidml: No - Inference - DenseNet 201 - CPUnumenta-nab: EXPoSEbasis: UASTC Level 2 + RDO Post-Processingrenaissance: Apache Spark PageRankbuild-llvm: Time To Compilepolyhedron: gas_dyn2renaissance: Apache Spark Bayesselenium: WebXPRT - Firefoxselenium: WebXPRT - Google Chromejava-gradle-perf: Reactorpolyhedron: mp_prop_designlczero: BLASblender: Barbershop - CPU-Onlypolyhedron: fatigue2renaissance: Rand Forestlibgav1: Chimera 1080p 10-bitcryptopp: Keyed Algorithmsblender: Pabellon Barcelona - CPU-Onlylczero: Eigenpolyhedron: test_fpu2lczero: Randunigine-super: 1920 x 1080 - Windowed - Medium - OpenGLfftw: Float + SSE - 2D FFT Size 4096plaidml: No - Inference - ResNet 50 - CPUrenaissance: In-Memory Database Shootoutblender: Classroom - CPU-Onlycore-latency: Average Latency Between CPU Corescryptopp: Integer + Elliptic Curve Public Key Algorithmsunigine-heaven: 1920 x 1080 - Windowed - OpenGLlibgav1: Chimera 1080pbrl-cad: VGR Performance Metricselenium: CanvasMark - Firefoxunigine-super: 1920 x 1080 - Windowed - Ultra - OpenGLplaidml: No - Inference - Inception V3 - CPUrocksdb: Rand Fillselenium: Jetstream 2 - Firefoxhint: FLOATnumpy: renaissance: Genetic Algorithm Using Jenetics + Futureshpcg: renaissance: Apache Spark ALSappleseed: Emilyunigine-super: 1920 x 1080 - Windowed - High - OpenGLradiance: Serialunigine-valley: 1920 x 1080 - Windowed - OpenGLunigine-super: 1920 x 1080 - Windowed - Low - OpenGLselenium: Jetstream - Firefoxfftw: Stock - 2D FFT Size 4096plaidml: No - Inference - VGG19 - CPUasmfish: 1024 Hash Memory, 26 Depthselenium: Jetstream - Google Chromecp2k: Fayalite-FIST Datacachebench: Readgromacs: Water Benchmarkpolyhedron: rnflowparboil: OpenMP LBMselenium: Jetstream 2 - Google Chromeplaidml: No - Inference - VGG16 - CPUblender: Fishy Cat - CPU-Onlyamg: plaidml: No - Inference - Mobilenet - CPUhackbench: 32 - Processpolyhedron: channel2mt-dgemm: Sustained Floating-Point Ratenpb: BT.Clibgav1: Summer Nature 4Knumenta-nab: Earthgecko Skylinerenaissance: Scala Dottycachebench: Read / Modify / Writecachebench: Writerocksdb: Rand Fill Syncselenium: ARES-6 - Firefoxmlpack: scikit_qdarocksdb: Read While Writingdav1d: Chimera 1080p 10-bitdav1d: Chimera 1080p 10-bitmkl-dnn: IP Batch All - u8s8f32appleseed: Disney Materialyafaray: Total Time For Sample Sceneappleseed: Material Testerstress-ng: CPU Cacheselenium: StyleBench - Google Chromeparboil: OpenMP MRI Griddingpolyhedron: induct2blender: BMW27 - CPU-Onlyfhourstones: Complex Connect-4 Solvingminion: Quasigroupselenium: Speedometer - Firefoxselenium: CanvasMark - Google Chromeopenvkl: vklBenchmarkbuild-linux-kernel: Time To Compileindigobench: Bedroompolyhedron: proteinbuild-gdb: Time To Compilegegl: Cartoonvpxenc: Speed 0compress-zstd: 19namd: ATPase Simulation - 327,506 Atomsbuild2: Time To Compileindigobench: Supercarmrbayes: Primate Phylogeny Analysisstockfish: Total Timeetlegacy: Renderer2 - 3840 x 2160perl-benchmark: Pod2htmltachyon: Total Timenpb: FT.Cpyperformance: raytracecryptopp: Unkeyed Algorithmscompress-gzip: Linux Source Tree Archiving To .tar.gzselenium: Speedometer - Google Chrometoybrot: OpenMPradiance: SMP Paralleltoybrot: TBBtoybrot: C++ Threadstoybrot: C++ Tasksstress-ng: Context Switchingaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismhimeno: Poisson Pressure Solverselenium: StyleBench - Firefoxminion: Solitairegraphics-magick: Sharpenjohn-the-ripper: MD5graphics-magick: Enhancedgraphics-magick: Noise-Gaussianrocksdb: Rand Readgraphics-magick: Resizinggraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: HWB Color Spacestress-ng: Atomicmkl-dnn: IP Batch All - f32mlpack: scikit_icasqlite-speedtest: Timed Time - Size 1,000gegl: Wavelet Blurnpb: SP.Bpolyhedron: aermodlibreoffice: 20 Documents To PDFrawtherapee: Total Benchmark Timebuild-php: Time To Compilebasemark: Vulkan - 3840 x 2160 - Highperl-benchmark: Interpretergegl: Color Enhancem-queens: Time To Solvemlpack: scikit_linearridgeregressionaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingdeepspeech: CPUselenium: ARES-6 - Google Chromesockperf: Throughputpyperformance: 2to3git: Time To Complete Common Git Commandsbuild-ffmpeg: Time To Compilec-ray: Total Time - 4K, 16 Rays Per Pixelpolyhedron: mdbxrenaissance: Twitter HTTP Requestsembree: Pathtracer - Asian Dragon Objbasis: UASTC Level 3basemark: OpenGL - 3840 x 2160 - Highselenium: Octane - Firefoxembree: Pathtracer ISPC - Asian Dragon Objbasis: ETC1Scpuminer-opt: skeinjava-scimark2: Compositepyperformance: gomkl-dnn: Deconvolution Batch deconv_1d - u8s8f32redis: SETselenium: Octane - Google Chromeencode-flac: WAV To FLACminion: Gracefullibgav1: Summer Nature 1080pxonotic: 3840 x 2160 - Ultimateblosc: blosclzlzbench: XZ 0 - Decompressionlzbench: XZ 0 - Compressioncython-bench: mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Recurrent Neural Network Inference - f32numenta-nab: Bayesian Changepointgegl: Rotate 90 Degreesembree: Pathtracer - Crowncpuminer-opt: m7mcompress-7zip: Compress Speed Testgegl: Antialiasembree: Pathtracer ISPC - Crownpyperformance: django_templatecpuminer-opt: deepparaview: Many Spheres - 3840 x 2160paraview: Many Spheres - 3840 x 2160embree: Pathtracer - Asian Dragonpyperformance: crypto_pyaesjohn-the-ripper: Blowfishpolyhedron: acxonotic: 3840 x 2160 - Ultratesseract: 3840 x 2160sockperf: Latency Ping Pongbuild-mplayer: Time To Compileembree: Pathtracer ISPC - Asian Dragonselenium: Kraken - Google Chromeaobench: 2048 x 2048 - Total Timecpuminer-opt: sha256tcpuminer-opt: lbrypyperformance: nbodypolyhedron: airpyperformance: floatpolyhedron: doducstress-ng: CPU Stressaom-av1: Speed 0 Two-Passaircrack-ng: stress-ng: Cryptostress-ng: Matrix Mathstress-ng: Socket Activitystress-ng: Vector Mathselenium: Kraken - Firefoxxonotic: 3840 x 2160 - Highpyperformance: regex_compileaom-av1: Speed 6 Realtimecompress-zstd: 3gegl: Reflectcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9build-imagemagick: Time To Compilelulesh: coremark: CoreMark Size 666 - Iterations Per Secondgegl: Tile Glassxsbench: ttsiod-renderer: Phong Rendering With Soft-Shadow Mappingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddinglzbench: Zstd 8 - Decompressionlzbench: Zstd 8 - Compressionlzbench: Crush 0 - Decompressionlzbench: Crush 0 - Compressiontungsten: Water Causticbasis: UASTC Level 2pyperformance: json_loadsxonotic: 3840 x 2160 - Lowlzbench: Brotli 2 - Decompressionlzbench: Brotli 2 - Compressionaom-av1: Speed 6 Two-Passvpxenc: Speed 5rodinia: OpenMP Streamclustermlpack: scikit_svmpyperformance: pickle_pure_pythondav1d: Summer Nature 4Kbotan: AES-256lzbench: Libdeflate 1 - Decompressionlzbench: Libdeflate 1 - Compressiondacapobench: Tradebeanslzbench: Brotli 0 - Decompressionlzbench: Brotli 0 - Compressionlzbench: Zstd 1 - Decompressionlzbench: Zstd 1 - Compressionrodinia: OpenMP LavaMDdav1d: Chimera 1080predis: GETdav1d: Summer Nature 4Kcompress-zstd: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19ebizzy: selenium: PSPDFKit WASM - Firefoxpybench: Total For Average Test Timesmkl-dnn: Deconvolution Batch deconv_1d - f32tungsten: Hairbotan: Blowfishbotan: Twofishdav1d: Chimera 1080pbotan: CAST-256botan: KASUMIopenssl: RSA 4096-bit Performancerocksdb: Seq Fillbuild-apache: Time To Compileselenium: Maze Solver - Firefoxdacapobench: H2osbench: Create Threadsnumenta-nab: Relative Entropyrodinia: OpenMP CFD Solverselenium: PSPDFKit WASM - Google Chromeselenium: WASM collisionDetection - Firefoxaom-av1: Speed 4 Two-Passprimesieve: 1e12 Prime Number Generationoidn: Memorialswet: Averageparboil: OpenMP Stencilnpb: MG.Cpolyhedron: linpkmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch 1D - u8s8f32neat: aom-av1: Speed 8 Realtimego-benchmark: jsonselenium: Maze Solver - Google Chromerays1bench: Large Scenegimp: unsharp-maskselenium: WASM collisionDetection - Google Chromeipc-benchmark: Unnamed Pipe - 4096basemark: Vulkan - 3840 x 2160 - Mediumbork: File Encryption Timegimp: auto-levelsgnupg: 2GB File Encryptiondacapobench: Tradesoapgimp: rotatex265: H.265 1080p Video Encodingn-queens: Elapsed Timeselenium: WASM imageConvolute - Firefoxosbench: Create Processessysbench: CPUgo-benchmark: garbageipc-benchmark: Unnamed Unix Domain Socket - 4096numenta-nab: Windowed Gaussianscikit-learn: tungsten: Volumetric Causticsmallpt: Global Illumination Renderer; 128 Samplesipc-benchmark: TCP Socket - 4096neatbench: CPUbasis: UASTC Level 0dav1d: Summer Nature 1080pencode-mp3: WAV To MP3gegl: Cropselenium: WASM imageConvolute - Google Chromegimp: resizedav1d: Summer Nature 1080pdacapobench: Jythontungsten: Non-Exponentialffmpeg: H.264 HD To NTSC DVtjbench: Decompression Throughputx264: H.264 Video Encodingmultichase: 4MB Array, 64 Byte Strideipc-benchmark: FIFO Named Pipe - 4096osbench: Create Fileshmmer: Pfam Database Searchosbench: Memory Allocationsosbench: Launch Programsgegl: Scaleparaview: Wavelet Contour - 3840 x 2160paraview: Wavelet Contour - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160nettle: aes256bullet: Raytestsmultichase: 1GB Array, 256 Byte Stride, 4 Threadsmultichase: 1GB Array, 256 Byte Stride, 2 Threadsmultichase: 1GB Array, 256 Byte Stridehackbench: 1 - Threadmkl-dnn: Deconvolution Batch deconv_3d - u8s8f32multichase: 256MB Array, 256 Byte Stridemkl-dnn: Deconvolution Batch deconv_3d - f32hackbench: 1 - Processcompress-pbzip2: 256MB File Compressionnettle: sha512optcarrot: Optimized Benchmarkparboil: OpenMP CUTCPtscp: AI Chess Performancenettle: chachaior: Read Testior: Write Testblake2: ctx-clock: Context Switch Timenettle: poly1305-aesbullet: Convex Trimeshbullet: Prim Trimeshbullet: 136 Ragdollsbullet: 1000 Convexbullet: 1000 Stackbullet: 3000 Falljava-scimark2: Jacobi Successive Over-Relaxationjava-scimark2: Dense LU Matrix Factorizationjava-scimark2: Sparse Matrix Multiplyjava-scimark2: Fast Fourier Transformjava-scimark2: Monte CarloCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X12612.44227.7463917.8141074.56231.54759.91716.25515777.2449184.5651961.5818173.35624.538573.9502894.892505.43139.991704.120294264188.10249.13378473.6036.691465.49831.25789.168824426.2060728.67231501113.6274897.382968.390338.6697.216377.634939160.18483.731925001418134.39.23656303102.083510613895.03709444.121249.4044.363531654.489299.75345277.7577.884176.703229.3237.526969.116.0939969419258.92855.4034322.000.97812.58165.151103149.13219.28179.5523126.7617.1849.16143.455.35111526329.2134.8590.1651339.48355905.54480457136212.481005556287536.7362.502911882131.44132.4419.0225174.867928108.878164.00291522.7637.654.93719414.45114.3917312.093.4405541045033192.8361.7081.89411.6277.05978.9388.2030.31.2043484.9394.43563.71935260191288.50.0932788165.781611106.03352407.90754828.83313080088182.3637992479413791725661607.841946.321142.242.192.474394.72587910455.28444817513836672693176851414412665298881219230445.2556.911053.2144.92452.1235283.524.576.40353.30947.70481.930.0006672550.05559.6494.051953.461161.1878.3664717.4763962924141.51546.05952.1303.872003.90816.177546.50959.643877618.241942.177453433053.01187121.2672770462.5541537.69941.961286135.37318.784401310910.31385135.064169.85528.015436.06632.36915.4524407.756500232.11117.734238.3123976344.43763.2817.555083.2232574.34398.0959725431.03373.22229.27320.5126779.327.1701025233891789.91.9582.56.134730.920.3545911.8892677.7362670.628781.9394530.77715.7438.944933413325.312866.625.41622.32625.03311.960647517909.11868724.6582639580706.6162164.781307.36188410461213123.694625.17018.3532.27340139082334.6630.4317.30620.91331177.434925.38314822902478783543177661521.053700.923788204.92185.2021.92549590611487603.0376820.2258556.522446.240782.60175.908115.3813755.9143190017.9075.426158.88347616.56118.2831387414.42.9317.18111.1297223355416.40312411256.142.313.309051.1746613.97049.0131000115.481.8211.946343.45471460097404.075.1249.6937.94928899.57372.3810.35027.116.39048327065.996978887912608917.6658.7826.988667.852157593218.36.514671.396.9746.76435.72726.135735.6133195.149024.562237.108141126.495.206146282110.4744514.28156.16331126.0233884.8221961.623188.231305.63981.608093.592.04396350.12846.16844.6042.2452.2352541.8134.769232.0293.118639.74180.402.71856016237851359.761867.37249.664.031443725.660.9371180.7825032.2331823.5846573.8102233.3595471993.887302.382779.911930.391258.5112066.83208.7733078.0071182.12157.37777.78791.84810971.46310480.5041834.9620853.78649.945606.1123349.249444.77743.252980.558271257251.77651.77512456.8146.451856.14421.54724.599119386.0851227.38183084118.1237827.113562.492311.21152.155542.894163158.63853.271803681403834.310.5867569392.053388972627.13497404.011685.7345.122401970.560271.18443982.2544.74161.595180.3219.076618.915.5439823131225.04322.3373146.581.13415159.582743137.44918.84166.4226215.2816.5670.31845.173.93005623729.4224.7685.5411377.24164003.11688200033242.454718857373642.3567.752745421109.38109.4825.8106162.581987105.801162.95443333.3737.728.02260921.42115.7615513.5105.770075100.55015176.0856.6062.03712.0293.55489.9097.6838.91.4860380.7814.32973.34437745672255.20.1121673762.60198406.69429399.97917133.440133.564879174.3826337063031631285906453.742049.44899.6102.422.664916.44705584.957.33570418313033332953577027836714007567431345750757.5353.612851.6556.29060.7668588.955.396.52654.35146.72880.760.0006973556.40446.9681.952114.07924.67963.8539420.0856114928444.70341.86143.1414.32076.73015.441341.69672.413445514.865645.085392033090.7223197.21171913270.25492148.16539.48096682.00310.013972711462.21374438.293205.44828.555128.99538.60815.7238620.087717337.20914.862445.5111806585.17765.6816.697099.9203065.67396.3926962370.41923.56225.91316.5440745.830.241850903428799.81.621026.314841.140.3342519.3063480.9258011.489097.70108652.40711.5440.150178515619.574505.330.07925.04323.3019.8754752521955.18089729.1112590657674.2392350.741173.09171811152811424.193123.30121.9542.31771917772204.1325.7921.73118.83423179.836075.21512972723824660558156356220.284501.602575156.75196.8318.618107237913039233.0524418.0122495.035407.570585.44162.758105.4143483.9116194120.9254.4317512.09068315.79013.5401499349.42.6716.05011.0285694907115.85856113259.643.214.653471.9042314.00137.9331134064.183.9914.332287.9642212383413.468.31411.41111.194351510.61660.949.22726.527.26634425774.908689588110800417.7168.3817.380837.128141313924.07.164504.526.9557.53835.35206.805541.1539945.827587.079229.874764135.594.704222807911.2996915.32769.19566834.8432865.0412022.726194.103454.050215.886313.962.01904570.13567.95667.2753.1003.5397167.3244.973443.0052.513651.73142.452.10588413831911035.025952.61260.428.331522816.070.9137050.763602.0796703.6292403.9199473.2480072048.056829.492750.022088.401737.629794.64297.5724112.8081387.04161.79757.95731.02910635.88211096.6401783.9998013.87644.836587.3833301.718365.63641.782727.905252258251.42553.27380342.2546.891815.56921.19697.187580285.8640026.44185500118.2212397.343622.027226.13152.545494.248758158.57851.132511301379634.311.2168045895.645380487205.36603414.611725.0934.586021950.220213.49134682.2538.599160.954176.2218.556457.719.1951867171227.80324.1933052.121.23615160.964244138.22723.31123.5226109.8517.2854.26342.715.53760622727.1724.1877.8691367.86561491.83242485731703.460470254514842.8568.933615702113.65114.2419.8851121.87407481.477128.45777337.1537.731.27431921.3584.7714986.6101.65895199.345050234.2545.1142.66912.3788.75989.8557.7939.61.1171970.6655.66070.98950373394255.80.1123762646.009111557.65427389.03900533.39213347670170.2884654746331463707734523.741617.76874.0503.293.564966.36440184.457.688167248177166740045595962407177410077301507747139.3250.169853.7658.13261.5858390.195.496.60552.80942.69780.950.0006911554.90634.3042.041657.41892.66664.6171220.2059072928345.23035.44231.5944.272094.15919.650332.60773.683452819.085842.788544713115.9422869.59261992290.86492308.25039.55848178.41308.683122911288.31364338.658190.56026.622326.17637.64020.8580838.579002637.29820.057245.5151506546.76165.3021.430297.2277405.89393.3117643364.89693.83520.96721.3600743.131.131119460469101011.621026.566620.820.3458218.4964743.6177933.9411945.15148736.74725.2442.198074215519.224013.629.71824.11220.8609.8209433711755.16247429.0612653413834.3791924.761164.69171411152911421.390019.04822.0544.39051197802224.1625.5325.51719.21424187.355865.12712982714064661555156356814.967519.762609128.25204.0115.514137302613048942.5551713.6067479.252393.003626.95156.180101.0254707.4129244120.2404.5329312.24390714.39110.9141509351.92.7111.82112.7381691271315.10602310835.783.054.589091.3422812.95738.2423216314.1108.2014.776278.32102268105415.328.57811.69211.194344210.54262.856.76026.227.79722234951.108275070210886546.6958.2735.534795.237144530226.27.197547.696.9547.53835.89526.689587.6240104.407517.197221.087385159.924.720226058811.6335635.08669.22761635.9233225.0421976.572189.673246.419202.906114.172.08416170.20067.81167.3663.0162.6347467.1944.374312.711640.16141.621.3246641320223992.0231083.44279.047.641402711.190.9431350.7887582.1508083.7452954.0477313.3672862073.686834.752784.062134.311752.90275.7878251.2362962.08192.55568.321205.88416307.23311900.3441593.2265612.68798.683687.0733663.798908.1412279.032265.4161844.783631.87218112.4149715.773870.729194.858564732.18763623.293094120111541.47.2068808485.434343088859.21522297.211287.3003.554911917.913453.9824752.5740.24837.4187.255538.86.8722114085192.96573.8822913.85145.264216120.7648.65274402.612.67107.6250.91768814757.57175.4081333.24455581.74477607928716.158681302289350.6486.981408388103.04104.5376.2415249.823655176.257242.25968927.4230.6697.464335111.90363877.41691894.17109.9680.7735.8623.62.435982.56396.18421907401203.90.14877237109.515810803.81366.53562736.441102.5234.1284003751.651171.86862.0204402.74447980.371.65551011755226016521449891351857415589855278574.81111.57565.2073.6844736.278.51779.8160.0010089973.7663.721168.00862.95080.7324824.6053.37475.90868.3752318.41368.5362965155.4812809.39138.5221596514.91415349.30043.64634311137508.47050.538854.0373664815978190.204551.713864.535.4023121.291963.7944694.967068.1667689.26843.12640.441.39343.241100.936529315936.8230751585639388.5911349.30903.2441491914719133.338336.23166119720.5230.40321.08110.905598.1401181242570480135551132.045382.662160456.22117.3930.774529340157610648.5091329.5173450.531367.066423.56148.21795.9211648.58081034.212.42379428.34531.4741814429.125.52170726032914.2538748950.228.404755.7571419.44652795663.935.1615.849339.963511645949.64712.82314.10311.88341.4314.79631.626.32014016442.0547143883071192513.51412.305612.2809809388.673364.908.27240.41888.003396.379.417966.060175.19301076.577.623113652415.9025896.19490.74330347.5962965787.232.40887590.15288.49685.7534.72411.357285.76612.70794.383583.08102.893.3041981103368911.219641.20219.918.701852415.031.0452280.8545402.4135754.2552764.8556774.2130871584.386565.762666.941652.971576.89OpenBenchmarking.org

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 3900XRyzen 9 3950X3K6K9K12K15K12612.412066.89794.61. (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 3900XRyzen 9 3950X30K60K90K120K150K126124.0144801.6156713.61. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X70K140K210K280K350K252248.0289603.2313427.21. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X14K28K42K56K70K66845.7245853.8434281.101. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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 3900XRyzen 9 3950XRyzen 2700X9001800270036004500SE +/- 3.54, N = 3SE +/- 2.42, N = 3SE +/- 0.87, N = 3SE +/- 0.31, N = 34227.753208.774297.57275.791. (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 3900XRyzen 9 3950XRyzen 2700X15K30K45K60K75K42277.4638505.2868761.152206.301. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgHydro Cycle Time - Seconds x Thread, Fewer Is BetterPennant 1.0.1Performance Per Thread - Test: sedovbigCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30K60K90K120K150K84554.9277010.55137522.304412.611. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgHydro Cycle Time - Seconds x GHz, Fewer Is BetterPennant 1.0.1Performance Per Clock - Test: sedovbigCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X5K10K15K20K25K22407.0512193.3415041.501020.421. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X7001400210028003500Min: 4223.15 / Avg: 4227.75 / Max: 4234.7Min: 3203.95 / Avg: 3208.77 / Max: 3211.43Min: 4295.89 / Avg: 4297.57 / Max: 4298.81Min: 275.17 / Avg: 275.79 / Max: 276.211. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X9001800270036004500SE +/- 7.07, N = 3SE +/- 2.68, N = 3SE +/- 0.22, N = 3SE +/- 0.10, N = 33917.813078.014112.81251.241. (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 3900XRyzen 9 3950XRyzen 2700X14K28K42K56K70K39178.1436936.0865804.932009.891. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgHydro Cycle Time - Seconds x Thread, Fewer Is BetterPennant 1.0.1Performance Per Thread - Test: leblancbigCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30K60K90K120K150K78356.2873872.17131609.864019.781. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgHydro Cycle Time - Seconds x GHz, Fewer Is BetterPennant 1.0.1Performance Per Clock - Test: leblancbigCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4K8K12K16K20K20764.4111696.4314394.83929.571. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X7001400210028003500Min: 3906.08 / Avg: 3917.81 / Max: 3930.52Min: 3072.84 / Avg: 3078.01 / Max: 3081.83Min: 4112.37 / Avg: 4112.81 / Max: 4113.09Min: 251.1 / Avg: 251.24 / Max: 251.421. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

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 3900XRyzen 9 3950XRyzen 2700X30060090012001500SE +/- 33.67, N = 9SE +/- 48.20, N = 9SE +/- 35.92, N = 9SE +/- 14.51, N = 121074.561182.121387.04962.081. chrome 83.0.4103.61
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000Min: 950.64 / Avg: 1074.56 / Max: 1250.93Min: 1032.47 / Avg: 1182.12 / Max: 1494.43Min: 1242.52 / Avg: 1387.04 / Max: 1528.63Min: 872.5 / Avg: 962.08 / Max: 1020.271. chrome 83.0.4103.61

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X50100150200250SE +/- 26.64, N = 6SE +/- 8.63, N = 6SE +/- 13.00, N = 9SE +/- 4.87, N = 9231.54157.37161.79192.551. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200Min: 118.93 / Avg: 231.54 / Max: 291.07Min: 124.38 / Avg: 157.37 / Max: 188.52Min: 105.65 / Avg: 161.79 / Max: 224.69Min: 169.41 / Avg: 192.55 / Max: 219.21. firefox 76.0.1

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000SE +/- 18.46, N = 9SE +/- 10.68, N = 12SE +/- 12.24, N = 9SE +/- 7.75, N = 6759.91777.78757.95568.321. firefox 76.0.1
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X140280420560700Min: 661.44 / Avg: 759.91 / Max: 827.99Min: 721.2 / Avg: 777.78 / Max: 865.05Min: 677.19 / Avg: 757.95 / Max: 801.86Min: 540.78 / Avg: 568.32 / Max: 590.581. 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 3900XRyzen 9 3950XRyzen 2700X30060090012001500SE +/- 1.03, N = 3SE +/- 0.62, N = 3SE +/- 1.36, N = 3SE +/- 0.94, N = 3716.26791.85731.031205.88
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed GCC Compilation 9.3.0Performance Per Core - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15K7162.559502.1811696.469647.071. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed GCC Compilation 9.3.0Performance Per Thread - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X5K10K15K20K25K14325.1019004.3523392.9319294.141. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed GCC Compilation 9.3.0Performance Per Clock - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X100020003000400050003796.153009.022558.604461.771. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000Min: 714.24 / Avg: 716.25 / Max: 717.66Min: 791 / Avg: 791.85 / Max: 793.06Min: 728.59 / Avg: 731.03 / Max: 733.31Min: 1204.05 / Avg: 1205.88 / Max: 1207.18

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 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15KSE +/- 140.82, N = 5SE +/- 146.57, N = 20SE +/- 130.33, N = 25SE +/- 188.63, N = 2015777.2410971.4610635.8816307.23
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Savina Reactors.IOCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X40K80K120K160K200K157772.44131657.56170174.11130457.861. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Savina Reactors.IOCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X70K140K210K280K350K315544.88263315.11340348.22260915.731. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Savina Reactors.IOCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20K40K60K80K100K83619.3941691.5637225.5960336.761. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IOCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15KMin: 15356.57 / Avg: 15777.24 / Max: 16142.33Min: 9545.25 / Avg: 10971.46 / Max: 11907.49Min: 9014.37 / Avg: 10635.88 / Max: 11728.39Min: 14740.64 / Avg: 16307.23 / Max: 17872.56

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15KSE +/- 77.78, N = 20SE +/- 73.90, N = 5SE +/- 87.47, N = 5SE +/- 167.64, N = 69184.5710480.5011096.6411900.34
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X40K80K120K160K200K91845.65125766.05177546.2495202.751. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X80K160K240K320K400K183691.30251532.10355092.48190405.501. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X10K20K30K40K50K48678.2039825.9238838.2444031.271. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10KMin: 8373.34 / Avg: 9184.57 / Max: 9948.11Min: 10319.27 / Avg: 10480.5 / Max: 10713.76Min: 10831.09 / Avg: 11096.64 / Max: 11369.24Min: 11571.18 / Avg: 11900.34 / Max: 12549.68

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 3900XRyzen 9 3950XRyzen 2700X400800120016002000SE +/- 0.44, N = 3SE +/- 2.12, N = 3SE +/- 1.19, N = 3SE +/- 2.91, N = 31961.581834.961784.001593.231. (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 3900XRyzen 9 3950XRyzen 2700X4080120160200196.16152.91111.50199.151. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgMiB/second Per Thread, More Is BetterCrypto++ 8.2Performance Per Thread - Test: All AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2040608010098.0876.4655.7599.581. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgMiB/second Per GHz, More Is BetterCrypto++ 8.2Performance Per Clock - Test: All AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X110220330440550370.11482.88509.71430.601. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: All AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30060090012001500Min: 1960.74 / Avg: 1961.58 / Max: 1962.26Min: 1832.08 / Avg: 1834.96 / Max: 1839.08Min: 1781.81 / Avg: 1784 / Max: 1785.88Min: 1587.94 / Avg: 1593.23 / Max: 1597.981. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

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 3900XRyzen 9 3950XRyzen 2700X0.87081.74162.61243.48324.354SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 33.353.783.872.68
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.07540.15080.22620.30160.3770.33500.31500.24190.33501. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.03770.07540.11310.15080.18850.16750.15750.12090.16751. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.24980.49960.74940.99921.2490.63210.99471.11000.72431. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810Min: 3.33 / Avg: 3.35 / Max: 3.36Min: 3.78 / Avg: 3.78 / Max: 3.79Min: 3.82 / Avg: 3.87 / Max: 3.9Min: 2.67 / Avg: 2.68 / Max: 2.68

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 3900XRyzen 9 3950XRyzen 2700X2004006008001000SE +/- 1.51, N = 3SE +/- 2.38, N = 3SE +/- 3.61, N = 3SE +/- 1.18, N = 3624.54649.95644.84798.68
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Core - Detector: EXPoSECore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10K6245.387799.3410317.386389.461. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Thread - Detector: EXPoSECore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4K8K12K16K20K12490.7615598.6820634.7512778.931. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Clock - Detector: EXPoSECore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X70014002100280035003310.052469.792256.932955.131. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSECore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X140280420560700Min: 621.96 / Avg: 624.54 / Max: 627.18Min: 645.27 / Avg: 649.95 / Max: 653.07Min: 637.71 / Avg: 644.84 / Max: 649.38Min: 796.78 / Avg: 798.68 / Max: 800.84

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 3900XRyzen 9 3950XRyzen 2700X150300450600750SE +/- 0.41, N = 3SE +/- 1.80, N = 3SE +/- 0.82, N = 3SE +/- 2.53, N = 3573.95606.11587.38687.071. (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 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10K5739.507273.349398.135496.581. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterBasis Universal 1.12Performance Per Thread - Settings: UASTC Level 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4K8K12K16K20K11479.0014546.6918796.2610993.171. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterBasis Universal 1.12Performance Per Clock - Settings: UASTC Level 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X70014002100280035003041.942303.232055.842542.171. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X120240360480600Min: 573.25 / Avg: 573.95 / Max: 574.68Min: 603.07 / Avg: 606.11 / Max: 609.29Min: 586.06 / Avg: 587.38 / Max: 588.87Min: 683.28 / Avg: 687.07 / Max: 691.871. (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 PageRankCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X8001600240032004000SE +/- 26.21, N = 5SE +/- 39.85, N = 25SE +/- 44.27, N = 25SE +/- 37.32, N = 252894.893349.253301.723663.80
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Apache Spark PageRankCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X11K22K33K44K55K28948.9240190.9952827.4929310.381. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Apache Spark PageRankCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20K40K60K80K100K57897.8480381.98105654.9858620.771. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Apache Spark PageRankCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15K15342.9312727.1511556.0113556.051. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X6001200180024003000Min: 2844.62 / Avg: 2894.89 / Max: 2976.9Min: 3030.05 / Avg: 3349.25 / Max: 3921.32Min: 2813.15 / Avg: 3301.72 / Max: 3715.83Min: 3378.4 / Avg: 3663.8 / Max: 3956.63

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 3900XRyzen 9 3950XRyzen 2700X2004006008001000SE +/- 3.16, N = 3SE +/- 3.47, N = 3SE +/- 0.79, N = 3SE +/- 2.13, N = 3505.43444.78365.64908.14
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Core - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X160032004800640080005054.315337.325850.187265.131. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Thread - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15K10108.6210674.6511700.3514530.261. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Clock - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X70014002100280035002678.781690.151279.733360.121. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X160320480640800Min: 499.15 / Avg: 505.43 / Max: 509.14Min: 437.87 / Avg: 444.78 / Max: 448.82Min: 364.26 / Avg: 365.64 / Max: 367.01Min: 903.89 / Avg: 908.14 / Max: 910.36

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 3900XRyzen 9 3950X102030405039.9943.2541.78
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Core - Benchmark: gas_dyn2Core i9 10900KRyzen 9 3900XRyzen 9 3950X140280420560700399.90519.00668.481. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X30060090012001500799.801038.001336.961. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X50100150200250211.95164.35146.231. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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 3900XRyzen 9 3950XRyzen 2700X6001200180024003000SE +/- 12.37, N = 17SE +/- 84.09, N = 25SE +/- 107.08, N = 25SE +/- 14.24, N = 51704.122980.562727.912279.03
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Apache Spark BayesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X9K18K27K36K45K17041.2035766.7043646.4818232.261. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Apache Spark BayesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20K40K60K80K100K34082.4071533.3987292.9636464.511. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Apache Spark BayesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10K9031.8411326.129547.678432.421. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X5001000150020002500Min: 1610.87 / Avg: 1704.12 / Max: 1822.07Min: 1810.68 / Avg: 2980.56 / Max: 3308.31Min: 1716.25 / Avg: 2727.91 / Max: 3119.58Min: 2241.28 / Avg: 2279.03 / Max: 2327.34

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 3900XRyzen 9 3950X60120180240300SE +/- 1.20, N = 32942712521. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950X50100150200250Min: 250 / Avg: 252.33 / Max: 2541. firefox 76.0.1

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3950X60120180240300SE +/- 1.20, N = 3SE +/- 0.88, N = 32642572581. chrome 83.0.4103.61
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3950X50100150200250Min: 262 / Avg: 264.33 / Max: 266Min: 256 / Avg: 257.33 / Max: 2591. chrome 83.0.4103.61

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 3900XRyzen 9 3950XRyzen 2700X60120180240300SE +/- 3.04, N = 3SE +/- 2.94, N = 3SE +/- 3.37, N = 9SE +/- 4.34, N = 9188.10251.78251.43265.42
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterJava Gradle BuildPerformance Per Core - Gradle Build: ReactorCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X90018002700360045001881.023021.314022.802123.331. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterJava Gradle BuildPerformance Per Thread - Gradle Build: ReactorCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10K3762.046042.628045.604246.661. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterJava Gradle BuildPerformance Per Clock - Gradle Build: ReactorCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000996.94956.75879.99982.041. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X50100150200250Min: 182.63 / Avg: 188.1 / Max: 193.11Min: 245.99 / Avg: 251.78 / Max: 255.63Min: 236.16 / Avg: 251.43 / Max: 265.69Min: 254.67 / Avg: 265.42 / Max: 291.11

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: mp_prop_designCore i9 10900KRyzen 9 3900XRyzen 9 3950X122436486049.1351.7753.27
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Core - Benchmark: mp_prop_designCore i9 10900KRyzen 9 3900XRyzen 9 3950X2004006008001000491.30621.24852.321. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Thread - Benchmark: mp_prop_designCore i9 10900KRyzen 9 3900XRyzen 9 3950X400800120016002000982.601242.481704.641. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Clock - Benchmark: mp_prop_designCore i9 10900KRyzen 9 3900XRyzen 9 3950X60120180240300260.39196.73186.451. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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 3900XRyzen 9 3950X110220330440550SE +/- 1.53, N = 3SE +/- 3.71, N = 3SE +/- 4.96, N = 53785123801. (CXX) g++ options: -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.25Performance Per Core - Backend: BLASCore i9 10900KRyzen 9 3900XRyzen 9 3950X102030405037.8042.6723.751. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X51015202518.9021.3311.881. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X30609012015071.32134.74108.571. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X90180270360450Min: 375 / Avg: 378 / Max: 380Min: 507 / Avg: 511.67 / Max: 519Min: 367 / Avg: 380.4 / Max: 3971. (CXX) g++ options: -pthread

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 3900XRyzen 9 3950X100200300400500SE +/- 0.23, N = 3SE +/- 0.33, N = 3SE +/- 0.29, N = 3473.60456.81342.25
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterBlender 2.82Performance Per Core - Blend File: Barbershop - Compute: CPU-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3950X120024003600480060004736.005481.725476.001. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X2K4K6K8K10K9472.0010963.4410952.001. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X50010001500200025002510.081735.881197.881. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X80160240320400Min: 473.13 / Avg: 473.6 / Max: 473.85Min: 456.19 / Avg: 456.81 / Max: 457.32Min: 341.87 / Avg: 342.25 / Max: 342.81

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: fatigue2Core i9 10900KRyzen 9 3900XRyzen 9 3950X112233445536.6946.4546.89
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Core - Benchmark: fatigue2Core i9 10900KRyzen 9 3900XRyzen 9 3950X160320480640800366.90557.40750.241. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Thread - Benchmark: fatigue2Core i9 10900KRyzen 9 3900XRyzen 9 3950X30060090012001500733.801114.801500.481. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Clock - Benchmark: fatigue2Core i9 10900KRyzen 9 3900XRyzen 9 3950X4080120160200194.46176.51164.121. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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: Random ForestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X400800120016002000SE +/- 11.50, N = 5SE +/- 16.72, N = 25SE +/- 15.00, N = 25SE +/- 16.77, N = 51465.501856.141815.571844.78
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Random ForestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X6K12K18K24K30K14654.9822273.7329049.1014758.261. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Random ForestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X12K24K36K48K60K29309.9644547.4658098.2129516.531. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Random ForestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X170034005100680085007767.147053.356354.496825.701. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30060090012001500Min: 1433.85 / Avg: 1465.5 / Max: 1497.52Min: 1684.62 / Avg: 1856.14 / Max: 2035.11Min: 1665.21 / Avg: 1815.57 / Max: 1964.93Min: 1787.49 / Avg: 1844.78 / Max: 1885.49

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 3900XRyzen 9 3950X714212835SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 331.2521.5421.191. (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 3900XRyzen 9 3950X0.70431.40862.11292.81723.52153.131.801.321. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X0.3510.7021.0531.4041.7551.56000.89750.66221. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X2468105.905.676.051. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X714212835Min: 31.16 / Avg: 31.25 / Max: 31.32Min: 21.53 / Avg: 21.54 / Max: 21.56Min: 21.13 / Avg: 21.19 / Max: 21.271. (CXX) g++ options: -O3 -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: Keyed AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000SE +/- 0.18, N = 3SE +/- 0.98, N = 3SE +/- 1.06, N = 3SE +/- 0.44, N = 3789.17724.60697.19631.871. (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 3900XRyzen 9 3950XRyzen 2700X2040608010078.9260.3843.5778.981. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgMiB/second Per Thread, More Is BetterCrypto++ 8.2Performance Per Thread - Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X91827364539.4630.1921.7939.491. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgMiB/second Per GHz, More Is BetterCrypto++ 8.2Performance Per Clock - Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200148.90190.68199.20170.781. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X140280420560700Min: 788.8 / Avg: 789.17 / Max: 789.36Min: 723.51 / Avg: 724.6 / Max: 726.56Min: 695.65 / Avg: 697.19 / Max: 699.23Min: 631 / Avg: 631.87 / Max: 632.371. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

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 3900XRyzen 9 3950X90180270360450SE +/- 0.52, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 3426.20386.08285.86
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterBlender 2.82Performance Per Core - Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3950X100020003000400050004262.004632.964573.761. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X2K4K6K8K10K8524.009265.929147.521. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X50010001500200025002258.861467.101000.511. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X80160240320400Min: 425.46 / Avg: 426.2 / Max: 427.2Min: 386.07 / Avg: 386.08 / Max: 386.11Min: 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 3900XRyzen 9 3950X130260390520650SE +/- 9.02, N = 3SE +/- 1.76, N = 3SE +/- 4.04, N = 36075124001. (CXX) g++ options: -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.25Performance Per Core - Backend: EigenCore i9 10900KRyzen 9 3900XRyzen 9 3950X142842567060.7042.6725.001. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X71421283530.3521.3312.501. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X306090120150114.53134.74114.291. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X110220330440550Min: 593 / Avg: 607.33 / Max: 624Min: 509 / Avg: 512.33 / Max: 515Min: 392 / Avg: 400 / Max: 4051. (CXX) g++ options: -pthread

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 3900XRyzen 9 3950X71421283528.6727.3826.44
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPolyhedron Fortran BenchmarksPerformance Per Core - Benchmark: test_fpu2Core i9 10900KRyzen 9 3900XRyzen 9 3950X90180270360450286.70328.56423.041. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X2004006008001000573.40657.12846.081. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X306090120150151.95104.0492.541. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50

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: RandomCore i9 10900KRyzen 9 3900XRyzen 9 3950X50K100K150K200K250KSE +/- 473.05, N = 3SE +/- 90.51, N = 3SE +/- 51.41, N = 32315011830841855001. (CXX) g++ options: -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.25Performance Per Core - Backend: RandomCore i9 10900KRyzen 9 3900XRyzen 9 3950X5K10K15K20K25K23150.1015257.0011593.751. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X2K4K6K8K10K11575.057628.505796.881. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X11K22K33K44K55K43679.4348180.0053000.001. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X40K80K120K160K200KMin: 230642 / Avg: 231500.67 / Max: 232274Min: 182917 / Avg: 183084 / Max: 183228Min: 185430 / Avg: 185499.67 / Max: 1856001. (CXX) g++ options: -pthread

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Windowed - Quality: Medium - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X306090120150SE +/- 0.55, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.26, N = 12113.6118.1118.212.4MAX: 149.9MAX: 150.2MAX: 150.3MAX: 18.7
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Windowed - Quality: Medium - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100Min: 112.7 / Avg: 113.57 / Max: 114.6Min: 118 / Avg: 118.07 / Max: 118.1Min: 118.1 / Avg: 118.17 / Max: 118.2Min: 11 / Avg: 12.44 / Max: 14.5

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 3900XRyzen 9 3950XRyzen 2700X6K12K18K24K30KSE +/- 258.29, N = 3SE +/- 174.33, N = 3SE +/- 39.01, N = 3274892378221239149711. (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 3900XRyzen 9 3950XRyzen 2700X60012001800240030002748.901981.831327.441871.381. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgMflops Per Thread, More Is BetterFFTW 3.3.6Performance Per Thread - Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X300600900120015001374.45990.92663.72935.691. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgMflops Per GHz, More Is BetterFFTW 3.3.6Performance Per Clock - Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X130026003900520065005186.606258.426068.294046.221. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X5K10K15K20K25KMin: 27059 / Avg: 27489.33 / Max: 27952Min: 23607 / Avg: 23782.33 / Max: 24131Min: 14913 / Avg: 14970.67 / Max: 150451. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 3900XRyzen 9 3950XRyzen 2700X246810SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 37.387.117.345.77
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.16610.33220.49830.66440.83050.73800.59250.45880.72131. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.0830.1660.2490.3320.4150.36900.29630.22940.36061. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.47250.9451.41751.892.36251.391.872.101.561. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215Min: 7.33 / Avg: 7.38 / Max: 7.41Min: 7.04 / Avg: 7.11 / Max: 7.23Min: 7.25 / Avg: 7.34 / Max: 7.41Min: 5.74 / Avg: 5.77 / Max: 5.82

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 3900XRyzen 9 3950XRyzen 2700X8001600240032004000SE +/- 72.40, N = 25SE +/- 59.88, N = 25SE +/- 20.57, N = 5SE +/- 25.34, N = 52968.393562.493622.033870.73
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X12K24K36K48K60K29683.9042749.9057952.4330965.831. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20K40K60K80K100K59367.8085499.81115904.8661931.661. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15K15732.4713537.4712677.1014321.701. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X7001400210028003500Min: 2566.94 / Avg: 2968.39 / Max: 3339.1Min: 3188.37 / Avg: 3562.49 / Max: 4664.16Min: 3565.82 / Avg: 3622.03 / Max: 3677.2Min: 3799.2 / Avg: 3870.73 / Max: 3946.11

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 3900XRyzen 9 3950X70140210280350SE +/- 0.37, N = 3SE +/- 0.80, N = 3SE +/- 0.11, N = 3338.66311.21226.13
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterBlender 2.82Performance Per Core - Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3950X80016002400320040003386.603734.523618.081. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X160032004800640080006773.207469.047236.161. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X4008001200160020001794.901182.60791.461. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X60120180240300Min: 338.25 / Avg: 338.66 / Max: 339.41Min: 310.22 / Avg: 311.21 / Max: 312.79Min: 225.94 / Avg: 226.13 / Max: 226.33

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 3900XRyzen 9 3950XRyzen 2700X408012016020097.21152.15152.54194.86MIN: 20.27 / MAX: 148.07MIN: 43.16 / MAX: 177.74MIN: 43.27 / MAX: 177.91MIN: 37.67 / MAX: 332.141. (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 3900XRyzen 9 3950XRyzen 2700X5001000150020002500972.101825.802440.641558.871. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgns x Thread, Fewer Is BetterCore-LatencyPerformance Per Thread - Average Latency Between CPU CoresCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X100020003000400050001944.203651.604881.283117.741. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgns x GHz, Fewer Is BetterCore-LatencyPerformance Per Clock - Average Latency Between CPU CoresCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X160320480640800515.21578.17533.89720.981. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70

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 3900XRyzen 9 3950XRyzen 2700X14002800420056007000SE +/- 3.25, N = 3SE +/- 4.81, N = 3SE +/- 69.75, N = 4SE +/- 9.24, N = 36377.635542.895494.254732.191. (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 3900XRyzen 9 3950XRyzen 2700X140280420560700637.76461.91343.39591.521. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgMiB/second Per Thread, More Is BetterCrypto++ 8.2Performance Per Thread - Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X70140210280350318.88230.95171.70295.761. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgMiB/second Per GHz, More Is BetterCrypto++ 8.2Performance Per Clock - Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X300600900120015001203.331458.661569.791278.971. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X11002200330044005500Min: 6372.2 / Avg: 6377.63 / Max: 6383.43Min: 5533.3 / Avg: 5542.89 / Max: 5548.17Min: 5367.68 / Avg: 5494.25 / Max: 5670.62Min: 4717.89 / Avg: 4732.19 / Max: 4749.471. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

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 3900XRyzen 9 3950XRyzen 2700X4080120160200SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3160.18158.64158.5823.29
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1080 - Mode: Windowed - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X306090120150Min: 160.08 / Avg: 160.18 / Max: 160.28Min: 158.49 / Avg: 158.64 / Max: 158.74Min: 158.31 / Avg: 158.58 / Max: 158.87Min: 23.28 / Avg: 23.29 / Max: 23.31

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 3900XRyzen 9 3950X20406080100SE +/- 2.10, N = 12SE +/- 0.02, N = 3SE +/- 0.01, N = 383.7353.2751.131. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS Per Core, More Is Betterlibgav1 2019-10-05Performance Per Core - Video Input: Chimera 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3950X2468108.374.443.201. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. 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 3900XRyzen 9 3950X0.94281.88562.82843.77124.7144.192.221.601. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. 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 3900XRyzen 9 3950X4812162015.8014.0214.611. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. 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 3900XRyzen 9 3950X1632486480Min: 60.59 / Avg: 83.73 / Max: 85.93Min: 53.22 / Avg: 53.27 / Max: 53.29Min: 51.11 / Avg: 51.13 / Max: 51.161. (CXX) g++ options: -O3 -lpthread

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 3900XRyzen 9 3950XRyzen 2700X50K100K150K200K250K19250018036825113094120-lXi -luuid-lXi -luuid-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 3900XRyzen 9 3950XRyzen 2700X4K8K12K16K20K19250.0015030.6715695.6311765.001. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgVGR Performance Metric Per Thread, More Is BetterBRL-CAD 7.30.8Performance Per Thread - VGR Performance MetricCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10K9625.007515.337847.815882.501. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgVGR Performance Metric Per GHz, More Is BetterBRL-CAD 7.30.8Performance Per Clock - VGR Performance MetricCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X15K30K45K60K75K36320.7547465.2671751.4325437.841. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70

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 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15KSE +/- 136.13, N = 3SE +/- 130.04, N = 3SE +/- 165.75, N = 12SE +/- 45.43, N = 3141811403813796111541. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10KMin: 13924 / Avg: 14181.33 / Max: 14387Min: 13860 / Avg: 14037.67 / Max: 14291Min: 12837 / Avg: 13795.58 / Max: 14379Min: 11063 / Avg: 11153.67 / Max: 112041. firefox 76.0.1

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Windowed - Quality: Ultra - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X816243240SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 534.334.334.31.4MAX: 40.7MAX: 40.7MAX: 40.7
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Windowed - Quality: Ultra - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X714212835Min: 34.3 / Avg: 34.33 / Max: 34.4Min: 34.3 / Avg: 34.3 / Max: 34.3Min: 34.3 / Avg: 34.33 / Max: 34.4Min: 1.4 / Avg: 1.42 / Max: 1.5

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 3900XRyzen 9 3950XRyzen 2700X3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 39.2310.5811.217.20
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.20770.41540.62310.83081.03850.92300.88170.70060.90001. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgFPS Per Thread, More Is BetterPlaidMLPerformance Per Thread - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.10380.20760.31140.41520.5190.46150.44080.35030.45001. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgFPS Per GHz, More Is BetterPlaidMLPerformance Per Clock - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.721.442.162.883.61.742.783.201.951. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215Min: 9.2 / Avg: 9.23 / Max: 9.27Min: 10.53 / Avg: 10.58 / Max: 10.64Min: 11.16 / Avg: 11.21 / Max: 11.25Min: 7.14 / Avg: 7.2 / Max: 7.23

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 3900XRyzen 9 3950XRyzen 2700X150K300K450K600K750KSE +/- 27594.22, N = 15SE +/- 25404.12, N = 15SE +/- 26686.09, N = 15SE +/- 2530.50, N = 36563036756936804586880841. (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 3900XRyzen 9 3950XRyzen 2700X20K40K60K80K100K65630.3056307.7542528.6386010.501. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgOp/s Per Thread, More Is BetterFacebook RocksDB 6.3.6Performance Per Thread - Test: Random FillCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X9K18K27K36K45K32815.1528153.8821264.3143005.251. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgOp/s Per GHz, More Is BetterFacebook RocksDB 6.3.6Performance Per Clock - Test: Random FillCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X40K80K120K160K200K123830.75177813.95194416.57185968.651. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X120K240K360K480K600KMin: 570551 / Avg: 656303.27 / Max: 897976Min: 546396 / Avg: 675693.07 / Max: 929290Min: 561684 / Avg: 680457.73 / Max: 894763Min: 683979 / Avg: 688083.67 / Max: 6927001. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100SE +/- 0.35, N = 3SE +/- 1.16, N = 3SE +/- 0.45, N = 3SE +/- 0.19, N = 3102.0892.0595.6585.431. firefox 76.0.1
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100Min: 101.38 / Avg: 102.08 / Max: 102.53Min: 90.12 / Avg: 92.05 / Max: 94.13Min: 94.77 / Avg: 95.65 / Max: 96.28Min: 85.06 / Avg: 85.43 / Max: 85.631. firefox 76.0.1

Hierarchical INTegration

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

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X110M220M330M440M550MSE +/- 782794.53, N = 3SE +/- 5307717.77, N = 4SE +/- 556299.47, N = 3SE +/- 1572631.09, N = 3510613895.04388972627.13380487205.37343088859.221. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs Per Core, More Is BetterHierarchical INTegration 1.0Performance Per Core - Test: FLOATCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X11M22M33M44M55M51061389.5032414385.5923780450.3442886107.401. Core i9 10900K: Detected core count of 102. Ryzen 9 3900X: Detected core count of 123. Ryzen 9 3950X: Detected core count of 164. Ryzen 2700X: Detected core count of 8
OpenBenchmarking.orgQUIPs Per Thread, More Is BetterHierarchical INTegration 1.0Performance Per Thread - Test: FLOATCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X5M10M15M20M25M25530694.7516207192.8011890225.1721443053.701. Core i9 10900K: Detected thread count of 202. Ryzen 9 3900X: Detected thread count of 243. Ryzen 9 3950X: Detected thread count of 324. Ryzen 2700X: Detected thread count of 16
OpenBenchmarking.orgQUIPs Per GHz, More Is BetterHierarchical INTegration 1.0Performance Per Clock - Test: FLOATCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20M40M60M80M100M96342244.35102361217.67108710630.1092726718.711. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 3900X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80 3. Ryzen 9 3950X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X90M180M270M360M450MMin: 509048314.53 / Avg: 510613895.04 / Max: 511401166.8Min: 373161936.1 / Avg: 388972627.13 / Max: 396013233.49Min: 379375357.53 / Avg: 380487205.37 / Max: 381078528.4Min: 340190686 / Avg: 343088859.22 / Max: 345596222.551. (CC) gcc options: -O3 -march=native -lm

Numpy Benchmark

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