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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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 Benchmarksunigine-heaven: 1920 x 1080 - Windowed - OpenGLunigine-super: 1920 x 1080 - Windowed - Low - OpenGLmt-dgemm: Sustained Floating-Point Ratemkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: IP Batch 1D - u8s8f32unigine-super: 1920 x 1080 - Windowed - High - OpenGLindigobench: Bedroomselenium: CanvasMark - Google Chromemkl-dnn: Deconvolution Batch deconv_1d - f32john-the-ripper: MD5rays1bench: Large Sceneunigine-super: 1920 x 1080 - Windowed - Ultra - OpenGLmkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Deconvolution Batch deconv_3d - f32rodinia: OpenMP CFD Solveropenssl: RSA 4096-bit Performanceplaidml: No - Inference - VGG19 - CPUebizzy: plaidml: No - Inference - VGG16 - CPUbrl-cad: VGR Performance Metriccp2k: Fayalite-FIST Dataparaview: Wavelet Volume - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160rocksdb: Read While Writingmkl-dnn: IP Batch 1D - f32parboil: OpenMP CUTCPopenvkl: vklBenchmarkbuild-llvm: Time To Compilebuild-mplayer: Time To Compilecompress-7zip: Compress Speed Testbuild-linux-kernel: Time To Compilegraphics-magick: Swirlgraphics-magick: Enhancedstress-ng: Cryptotachyon: Total Timeasmfish: 1024 Hash Memory, 26 Depthsmallpt: Global Illumination Renderer; 128 Samplesstockfish: Total Timego-benchmark: jsontesseract: 3840 x 2160coremark: CoreMark Size 666 - Iterations Per Secondnumenta-nab: Earthgecko Skylinemkl-dnn: IP Batch All - f32tungsten: Volumetric Causticindigobench: Supercarstress-ng: Vector Mathn-queens: Elapsed Timenamd: ATPase Simulation - 327,506 Atomstungsten: Hairc-ray: Total Time - 4K, 16 Rays Per Pixelyafaray: Total Time For Sample Scenehackbench: 1 - Processprimesieve: 1e12 Prime Number Generationblake2: m-queens: Time To Solvettsiod-renderer: Phong Rendering With Soft-Shadow Mappingbuild-ffmpeg: Time To Compilerodinia: OpenMP LavaMDtungsten: Non-Exponentialappleseed: Emilygraphics-magick: Noise-Gaussiansysbench: CPUstress-ng: CPU Stressgraphics-magick: Sharpenhackbench: 1 - Threadbasis: UASTC Level 3x264: H.264 Video Encodingmlpack: scikit_linearridgeregressionbuild-imagemagick: Time To Compilegraphics-magick: Resizingnumenta-nab: Bayesian Changepointcpuminer-opt: m7mmultichase: 256MB Array, 256 Byte Strideappleseed: Disney Materialnumenta-nab: Windowed Gaussiancore-latency: Average Latency Between CPU Corespennant: leblancbigpennant: sedovbigamg: lulesh: ipc-benchmark: FIFO Named Pipe - 4096compress-zstd: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19numenta-nab: Relative Entropyipc-benchmark: Unnamed Pipe - 4096rocksdb: Rand Readmultichase: 1GB Array, 256 Byte Stridemultichase: 1GB Array, 256 Byte Stride, 2 Threadsgo-benchmark: garbagebasis: UASTC Level 2mkl-dnn: Recurrent Neural Network Inference - f32appleseed: Material Testerbork: File Encryption Timebuild-php: Time To Compiledav1d: Summer Nature 1080pcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9dav1d: Chimera 1080pdav1d: Summer Nature 1080pfftw: Float + SSE - 2D FFT Size 4096dav1d: Chimera 1080posbench: Launch Programsnpb: SP.Baskap: tConvolve MPI - Degriddingmultichase: 1GB Array, 256 Byte Stride, 4 Threadsrocksdb: Rand Fill Syncnpb: BT.Cgnupg: 2GB File Encryptionrocksdb: Seq Fillipc-benchmark: Unnamed Unix Domain Socket - 4096graphics-magick: HWB Color Spacerodinia: OpenMP Streamclusteroptcarrot: Optimized Benchmarkaskap: tConvolve MT - Degriddingx265: H.265 1080p Video Encodingstress-ng: Matrix Mathaskap: tConvolve OpenMP - Degriddingdav1d: Summer Nature 4Kjohn-the-ripper: Blowfishredis: SETlibgav1: Summer Nature 1080ptoybrot: TBBtoybrot: C++ Threadstoybrot: C++ Taskscompress-zstd: 3stress-ng: Socket Activitydav1d: Summer Nature 4Kbuild-gcc: Time To Compiletoybrot: OpenMPcompress-zstd: 19xsbench: sqlite-speedtest: Timed Time - Size 1,000dacapobench: Tradebeansmultichase: 4MB Array, 64 Byte Strideosbench: Memory Allocationsipc-benchmark: TCP Socket - 4096perl-benchmark: Pod2htmlffmpeg: H.264 HD To NTSC DVtungsten: Water Causticplaidml: No - Inference - Inception V3 - CPUnettle: poly1305-aesosbench: Create Fileslczero: Eigenperl-benchmark: Interpretermrbayes: Primate Phylogeny Analysisgraphics-magick: Rotateluxcorerender: DLSCneat: blender: Classroom - CPU-Onlynumpy: nettle: chachablender: Pabellon Barcelona - CPU-Onlyhint: FLOATcachebench: Readvpxenc: Speed 5polyhedron: induct2npb: MG.Clibgav1: Chimera 1080p 10-bittscp: AI Chess Performanceblender: Fishy Cat - CPU-Onlyaskap: tConvolve OpenMP - Griddinghmmer: Pfam Database Searchplaidml: No - Inference - DenseNet 201 - CPUluxcorerender: Rainbow Colors and Prismlibgav1: Summer Nature 4Khpcg: lzbench: Crush 0 - Compressionneatbench: CPUjava-gradle-perf: Reactorselenium: ARES-6 - Google Chromecpuminer-opt: sha256tpybench: Total For Average Test Timesvpxenc: Speed 0nettle: aes256java-scimark2: Monte Carlomlpack: scikit_qdapolyhedron: linpkcpuminer-opt: skeinselenium: Maze Solver - Google Chromeblender: Barbershop - CPU-Onlyrenaissance: Genetic Algorithm Using Jenetics + Futuresselenium: ARES-6 - Firefoxlzbench: XZ 0 - Compressionradiance: SMP Parallelnpb: FT.Cswet: Averageradiance: Seriallzbench: Brotli 0 - Decompressionlzbench: Brotli 2 - Decompressionselenium: PSPDFKit WASM - Firefoxaircrack-ng: cpuminer-opt: lbryblender: BMW27 - CPU-Onlyplaidml: No - Inference - Mobilenet - CPUpolyhedron: accpuminer-opt: deeplczero: BLAStjbench: Decompression Throughputembree: Pathtracer - Crownembree: Pathtracer ISPC - Crowncryptopp: Integer + Elliptic Curve Public Key Algorithmsaskap: tConvolve MPI - Griddingselenium: Speedometer - Firefoxselenium: Jetstream - Google Chromebasis: UASTC Level 0gimp: unsharp-maskaskap: tConvolve MT - Griddinggimp: auto-levelsctx-clock: Context Switch Timeaom-av1: Speed 6 Realtimebasis: ETC1Slzbench: Zstd 1 - Decompressionjava-scimark2: Jacobi Successive Over-Relaxationselenium: PSPDFKit WASM - Google Chromeselenium: Octane - Firefoxgimp: resizeselenium: Octane - Google Chromeaobench: 2048 x 2048 - Total Timeselenium: Speedometer - Google Chromelzbench: Crush 0 - Decompressionbullet: 3000 Fallminion: Solitairerenaissance: Akka Unbalanced Cobwebbed Treeselenium: StyleBench - Firefoxaom-av1: Speed 8 Realtimejava-scimark2: Fast Fourier Transformembree: Pathtracer ISPC - Asian Dragonnwchem: C240 Buckyballselenium: Maze Solver - Firefoxgit: Time To Complete Common Git Commandsembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer - Asian Dragonpyperformance: pickle_pure_pythonplaidml: No - Inference - ResNet 50 - CPUnumenta-nab: EXPoSEpolyhedron: fatigue2dav1d: Chimera 1080p 10-bitbullet: 1000 Stackembree: Pathtracer - Asian Dragon Objselenium: CanvasMark - Firefoxselenium: Jetstream - Firefoxdav1d: Chimera 1080p 10-bitrenaissance: Rand Forestlczero: Randdeepspeech: CPUcompress-gzip: Linux Source Tree Archiving To .tar.gzgromacs: Water Benchmarklzbench: Zstd 8 - Decompressionmlpack: scikit_icacachebench: Writefftw: Stock - 2D FFT Size 4096lzbench: Libdeflate 1 - Decompressioncryptopp: Keyed Algorithmslzbench: XZ 0 - Decompressiongimp: rotatecompress-pbzip2: 256MB File Compressionpyperformance: floatbasemark: OpenGL - 3840 x 2160 - Highpyperformance: gobotan: Blowfishselenium: Jetstream 2 - Google Chromeselenium: WASM collisionDetection - Google Chromebotan: AES-256cryptopp: All Algorithmsselenium: StyleBench - Google Chromeselenium: WASM collisionDetection - Firefoxlzbench: Zstd 8 - Compressionpyperformance: raytracedacapobench: Tradesoapbotan: Twofishbuild-gdb: Time To Compiledacapobench: Jythonencode-flac: WAV To FLACselenium: WASM imageConvolute - Firefoxpolyhedron: airlzbench: Zstd 1 - Compressionbotan: KASUMIpyperformance: json_loadsbuild2: Time To Compilepolyhedron: aermodpyperformance: crypto_pyaeslzbench: Libdeflate 1 - Compressionminion: Quasigroupbasis: UASTC Level 2 + RDO Post-Processingselenium: Jetstream 2 - Firefoxbullet: Raytestsgegl: Rotate 90 Degreespolyhedron: rnflowrenaissance: Apache Spark ALSsockperf: Latency Ping Pongencode-mp3: WAV To MP3pyperformance: django_templatebullet: 1000 Convexbotan: CAST-256selenium: Kraken - Firefoxgegl: Reflectlzbench: Brotli 2 - Compressiongegl: Wavelet Blurgegl: Tile Glasspyperformance: 2to3pyperformance: regex_compilebuild-apache: Time To Compileselenium: WebXPRT - Firefoxselenium: Kraken - Google Chromelzbench: Brotli 0 - Compressiongegl: Antialiasbullet: 136 Ragdollsrenaissance: Twitter HTTP Requestsoidn: Memorialfhourstones: Complex Connect-4 Solvingcachebench: Read / Modify / Writeparboil: OpenMP Stencilbullet: Convex Trimeshselenium: WASM imageConvolute - Google Chromesockperf: Throughputgegl: Cartoonparboil: OpenMP LBMhimeno: Poisson Pressure Solveraom-av1: Speed 6 Two-Passgegl: Color Enhancepyperformance: nbodymlpack: scikit_svmbullet: Prim Trimeshnettle: sha512gegl: Cropcryptopp: Unkeyed Algorithmsjava-scimark2: Dense LU Matrix Factorizationpolyhedron: mdbxjava-scimark2: Compositeminion: Gracefulcython-bench: unigine-valley: 1920 x 1080 - Windowed - OpenGLaom-av1: Speed 4 Two-Passpolyhedron: test_fpu2polyhedron: mp_prop_designpolyhedron: gas_dyn2polyhedron: doducpolyhedron: proteinscikit-learn: aom-av1: Speed 0 Two-Passpolyhedron: channel2blosc: blosclzgegl: Scalejava-scimark2: Sparse Matrix Multiplyparaview: Many Spheres - 3840 x 2160paraview: Many Spheres - 3840 x 2160renaissance: Scala Dottyxonotic: 3840 x 2160 - Ultimateparaview: Wavelet Contour - 3840 x 2160paraview: Wavelet Contour - 3840 x 2160rawtherapee: Total Benchmark Timebasemark: Vulkan - 3840 x 2160 - Mediumselenium: WebXPRT - Google Chromexonotic: 3840 x 2160 - Lowbasemark: Vulkan - 3840 x 2160 - Highxonotic: 3840 x 2160 - Ultraxonotic: 3840 x 2160 - Highosbench: Create Processesosbench: Create Threadsselenium: Basemark - Google Chromeselenium: MotionMark - Firefoxselenium: Basemark - Firefoxrocksdb: Rand Fillstress-ng: Context Switchingstress-ng: CPU Cachestress-ng: Atomicredis: GETlibreoffice: 20 Documents To PDFhackbench: 32 - Processmkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: IP Batch All - u8s8f32renaissance: In-Memory Database Shootoutrenaissance: Apache Spark PageRankrenaissance: Savina Reactors.IOrenaissance: Apache Spark Bayesdacapobench: H2libgav1: Chimera 1080pparboil: OpenMP MRI Griddingunigine-super: 1920 x 1080 - Windowed - Medium - OpenGLetlegacy: Renderer2 - 3840 x 2160ior: Read Testior: Write TestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X160.184229.35.3511152.235251.1746677.71.89450333.03768138366781.8234.3169.8554.7692318.2833755.916.0949590619.28192500855.40381.601305.63929118823.309052.718560192.83505.43129.2736500261.7085292692677.7365.7816399694197.852352601913100011431.0337517909.11868790.16556.91106.988664.43594530.7710.3501.2043420.225852.130108.8782.02917.1814.0359.649706.61646.05921.0535.14902299.75345231727065.99694730.921752.24546.509126.494.0525.033126636.066407.7541.813174.8679287.66597.213917.8144227.74623126.7611.960647146282121.92516.56114600976851414444.60446.16878887925.17028.0154164.0029155.12447.704735.6122.326782.60671.3927489700.9226.0233885283.521953.4650.128287526329.217.94914319001260891121917.306180.401946.3272.3862670.622164.78185.20232572770462.5135.377992479413791722866.68781.93177.43716.2558008830.3263958044.92424785.20656.16331115759320.093278814.56223.69469.233725.6610.4744516070.0006672563.7198882.1913.970338.66444.121359.761426.20510613895.037094322.0030.4314.4511256.1431.251623785179.551307.364.2813.352.4734.854.3635313118.3188.10217.471025237608.208093.591258.5162.502.31453435.4473.601249.40436.7351182.36311106.03972233554577.884783908114845911.88938917114.3917.184.3412397378237.10814115.452417.73426377.6349391161.18104258.926.51411.9461142.249.69314425.3142.17717761993.881387387766.1355415327.1701306123.35954755.2844489184.56510449.011930.3920.512612612.45.441.51518.241917.55503317.38624.53836.69131.443.81022316.177514181237.52132.441465.49823150178.3664728.8330.978188453.2136212.4810055566969.11482789.1688241389.5733.11882.559.64187556.522149.132343.45474925.3831961.58181737.6414.41043522889446.24077.05933197.69927.11.95615115.38118.384.9394.5783.229093.440554573.950102.0832.04396332.36912.581654.4893.2226.97438.33.584657175.908715.725.41623352.12324.65824113317.907294779.354332.1112.2331822003.90811.1217312.055905.54480457116.4031240.93711835.727263962978.938165.1511034394.7258794.6650.05589.920.910.782503639.746.764407.9075487302.383.873053.0141.96128635.064176.7032.9328.6749.1339.996.1311.628.7820.3543.4510910.34.8222779.916344.43763.281339.483318.7844013188.231961.62353.309404.07264532.273401381.93398.0959725438.944933416.3904838.8834761074.56231.54759.916563035661607.8422.76230445.253788204.926.40349.161121.26719.02252968.3902894.89215777.2441704.120261583.7354.937194113.6288.5867.37249.66158.638180.33.9300563.539711.9042382.22.03750153.05244130333383.9934.3205.4484.9734413.5403483.915.54107237918.84180368322.337215.883454.05027454214.653472.105884176.08444.77725.9137717356.6067562953480.9262.6019398231317.128377456723113406370.4192521955.18089785.54153.61287.380834.329108652.409.2271.4860318.012243.141105.8013.00516.0508.3346.968674.23941.86120.2845.82758271.18443935725774.90864841.141833.10041.696135.591.9523.301140028.995620.0867.324162.5819877.716152.153078.0073208.77326215.289.8754752222807918.61815.79022123837027836767.27567.95689588123.30128.5551162.9544338.31446.728541.1525.043585.44504.5223782501.6034.8432868588.952114.0770.135373623729.4211.19411619411080041134521.731142.452049.4460.9458011.482350.74196.83203061913270.2582.006337063031631284505.39097.70179.83791.8486487938.9259065756.29038244.70469.19566814131390.112167377.07924.193110.582816.0711.2996915120.0006973573.3447432.4214.001311.21404.011035.025386.08388972627.134973146.5825.7921.4213259.6421.541383191166.421173.095.3273.782.6624.765.1224011424.0251.77620.08850909237.686313.961737.6267.753.21392034.1456.811685.73442.3544174.3828406.69856949071544.74660777130342519.30634287115.7616.565.6711180512229.87476415.723814.86245542.894163924.679100.5225.047.16414.332899.61011.41115219.5745.08515632048.051499344556.8054921430.241133.55283.24800757.33570410480.50484.937.932088.4016.544012066.84.444.70314.865616.69704237.11649.94546.45109.383.91994715.441314038219.07109.481856.14418308463.8539433.4401.134171851.6533242.4547188576618.91297724.59911913710.6162.51310272.41231495.035137.449287.9646075.2151834.96208537.7349.41114293515407.57093.55439948.16526.51.62562105.41421.980.7815.3999.9272105.770075606.11292.0532.01904538.608151970.5603.5626.95545.53.629240162.758711.530.07922060.76629.11128415620.925271745.855837.2092.0796702076.73011.0215513.564003.11688200015.8585610.91370535.352056114989.909159.5827434916.4470554.1356.40499.818.830.76360651.737.538399.9791716829.494.33090.7239.48096638.293161.5952.6727.3851.7743.256.3112.028.3810.3345.1711462.25.0412750.026585.17765.681377.241310.0139727194.102022.72654.351413.46257542.317719180.76396.3926962440.150178527.26634412.0906831182.12157.37777.786756935906453.7433.37750757.532575156.756.52670.31897.211725.81063562.4923349.24910971.4632980.558317553.2728.022609118.1255.2952.61260.42158.578176.25.5376062.634741.3422882.22.66950502.555171771667108.2034.3190.5604.3743110.9144707.419.19137302623.31251130324.193202.903246.41936157024.589091.324664234.25365.63620.9679002645.11410074004743.6146.0091518671715.237503733942321631364.8969711755.16247477.86950.16985.534795.660148736.746.7601.1171913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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

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: Low - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X50100150200250SE +/- 0.68, N = 3SE +/- 1.74, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3229.3180.3176.237.4MAX: 328.9MAX: 269.1MAX: 259.9MAX: 48.1
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Windowed - Quality: Low - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200Min: 228 / Avg: 229.33 / Max: 230.2Min: 177 / Avg: 180.3 / Max: 182.9Min: 176 / Avg: 176.17 / Max: 176.3Min: 37.3 / Avg: 37.37 / Max: 37.4

ACES DGEMM

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

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1.2462.4923.7384.9846.23SE +/- 0.032335, N = 3SE +/- 0.051575, N = 3SE +/- 0.075216, N = 15SE +/- 0.000887, N = 35.3511153.9300565.5376060.9176881. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Core, More Is BetterACES DGEMM 1.0Performance Per Core - Sustained Floating-Point RateCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.12040.24080.36120.48160.6020.53510.32750.34610.11471. 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.orgGFLOP/s Per Thread, More Is BetterACES DGEMM 1.0Performance Per Thread - Sustained Floating-Point RateCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.06020.12040.18060.24080.3010.26760.16380.17310.05741. 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.orgGFLOP/s Per GHz, More Is BetterACES DGEMM 1.0Performance Per Clock - Sustained Floating-Point RateCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.35550.7111.06651.4221.77751.0101.0301.5800.2481. 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.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810Min: 5.29 / Avg: 5.35 / Max: 5.39Min: 3.83 / Avg: 3.93 / Max: 4Min: 5.08 / Avg: 5.54 / Max: 6.08Min: 0.92 / Avg: 0.92 / Max: 0.921. (CC) gcc options: -O3 -march=native -fopenmp

oneDNN MKL-DNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215SE +/- 0.00462, N = 3SE +/- 0.00115, N = 3SE +/- 0.00324, N = 3SE +/- 0.05743, N = 32.235253.539712.6347411.35720MIN: 2.2MIN: 3.43MIN: 2.54MIN: 10.991. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215Min: 2.23 / Avg: 2.24 / Max: 2.24Min: 3.54 / Avg: 3.54 / Max: 3.54Min: 2.63 / Avg: 2.63 / Max: 2.64Min: 11.29 / Avg: 11.36 / Max: 11.471. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1.29542.59083.88625.18166.477SE +/- 0.00032, N = 3SE +/- 0.00324, N = 3SE +/- 0.00126, N = 3SE +/- 0.00332, N = 31.174661.904231.342285.75714MIN: 1.16MIN: 1.84MIN: 1.31MIN: 5.51. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810Min: 1.17 / Avg: 1.17 / Max: 1.18Min: 1.9 / Avg: 1.9 / Max: 1.91Min: 1.34 / Avg: 1.34 / Max: 1.34Min: 5.75 / Avg: 5.76 / Max: 5.761. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

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: High - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 377.782.282.22.5MAX: 98.8MAX: 99MAX: 99.2
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Windowed - Quality: High - Renderer: OpenGLCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1632486480Min: 77.5 / Avg: 77.73 / Max: 78Min: 82.2 / Avg: 82.23 / Max: 82.3Min: 82.2 / Avg: 82.23 / Max: 82.3Min: 2.4 / Avg: 2.47 / Max: 2.5

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.60051.2011.80152.4023.0025SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 31.8942.0372.6690.773
OpenBenchmarking.orgM samples/s Per Core, More Is BetterIndigoBench 4.0.64Performance Per Core - Scene: BedroomCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.04260.08520.12780.17040.2130.18940.16980.16680.09661. 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.orgM samples/s Per Thread, More Is BetterIndigoBench 4.0.64Performance Per Thread - Scene: BedroomCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.02130.04260.06390.08520.10650.09470.08490.08340.04831. 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.orgM samples/s Per GHz, More Is BetterIndigoBench 4.0.64Performance Per Clock - Scene: BedroomCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.17160.34320.51480.68640.8580.35740.53610.76260.20891. 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.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810Min: 1.89 / Avg: 1.89 / Max: 1.9Min: 2.03 / Avg: 2.04 / Max: 2.04Min: 2.66 / Avg: 2.67 / Max: 2.68Min: 0.77 / Avg: 0.77 / Max: 0.77

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4K8K12K16K20KSE +/- 15.60, N = 3SE +/- 20.70, N = 3SE +/- 9.02, N = 3SE +/- 22.67, N = 3503350155050169181. chrome 83.0.4103.61
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3K6K9K12K15KMin: 5005 / Avg: 5032.67 / Max: 5059Min: 4992 / Avg: 5014.67 / Max: 5056Min: 5036 / Avg: 5050.33 / Max: 5067Min: 16894 / Avg: 16917.67 / Max: 169631. chrome 83.0.4103.61

oneDNN MKL-DNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810SE +/- 0.00362, N = 3SE +/- 0.01797, N = 3SE +/- 0.00650, N = 3SE +/- 0.00325, N = 33.037683.052442.555178.50913MIN: 3MIN: 2.98MIN: 2.49MIN: 8.081. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215Min: 3.03 / Avg: 3.04 / Max: 3.04Min: 3.03 / Avg: 3.05 / Max: 3.09Min: 2.54 / Avg: 2.56 / Max: 2.57Min: 8.5 / Avg: 8.51 / Max: 8.521. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X400K800K1200K1600K2000KSE +/- 333.33, N = 3SE +/- 2848.00, N = 3SE +/- 1666.67, N = 3SE +/- 1118.10, N = 31383667130333317716675522601. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Core, More Is BetterJohn The Ripper 1.9.0-jumbo-1Performance Per Core - Test: MD5Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30K60K90K120K150K138366.70108611.08110729.1969032.501. 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.orgReal C/S Per Thread, More Is BetterJohn The Ripper 1.9.0-jumbo-1Performance Per Thread - Test: MD5Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X15K30K45K60K75K69183.3554305.5455364.5934516.251. 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.orgReal C/S Per GHz, More Is BetterJohn The Ripper 1.9.0-jumbo-1Performance Per Clock - Test: MD5Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X110K220K330K440K550K261069.25342982.37506190.57149259.461. 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 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X300K600K900K1200K1500KMin: 1383000 / Avg: 1383666.67 / Max: 1384000Min: 1300000 / Avg: 1303333.33 / Max: 1309000Min: 1770000 / Avg: 1771666.67 / Max: 1775000Min: 551116 / Avg: 552260 / Max: 5544961. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 381.8283.99108.2035.16
OpenBenchmarking.orgmrays/s Per Core, More Is Betterrays1bench 2020-01-09Performance Per Core - Large SceneCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2468108.187.006.764.401. 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.orgmrays/s Per Thread, More Is Betterrays1bench 2020-01-09Performance Per Thread - Large SceneCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.92031.84062.76093.68124.60154.093.503.382.201. 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.orgmrays/s Per GHz, More Is Betterrays1bench 2020-01-09Performance Per Clock - Large SceneCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X71421283515.4422.1030.919.501. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 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.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100Min: 81.81 / Avg: 81.82 / Max: 81.82Min: 83.9 / Avg: 83.99 / Max: 84.07Min: 108.03 / Avg: 108.2 / Max: 108.32Min: 35.14 / Avg: 35.16 / Max: 35.18

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

oneDNN MKL-DNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X110220330440550SE +/- 0.89, N = 3SE +/- 0.54, N = 3SE +/- 0.30, N = 3SE +/- 4.36, N = 3169.86205.45190.56508.47MIN: 165.86MIN: 202.71MIN: 188.28MIN: 486.231. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X90180270360450Min: 168.7 / Avg: 169.85 / Max: 171.61Min: 204.51 / Avg: 205.45 / Max: 206.39Min: 189.98 / Avg: 190.56 / Max: 190.99Min: 500.1 / Avg: 508.47 / Max: 514.771. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215SE +/- 0.00813, N = 3SE +/- 0.02163, N = 3SE +/- 0.00690, N = 3SE +/- 0.01532, N = 34.769234.973444.3743112.70790MIN: 4.73MIN: 4.87MIN: 4.28MIN: 12.231. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X48121620Min: 4.75 / Avg: 4.77 / Max: 4.78Min: 4.93 / Avg: 4.97 / Max: 5Min: 4.36 / Avg: 4.37 / Max: 4.38Min: 12.68 / Avg: 12.71 / Max: 12.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenMP CFD SolverCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 318.2813.5410.9131.471. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 2.4Performance Per Core - Test: OpenMP CFD SolverCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X60120180240300182.83162.48174.62251.791. 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 BetterRodinia 2.4Performance Per Thread - Test: OpenMP CFD SolverCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X110220330440550365.66324.96349.25503.581. 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.orgSeconds x GHz, Fewer Is BetterRodinia 2.4Performance Per Clock - Test: OpenMP CFD SolverCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30609012015096.9051.4538.20116.451. 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 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 BetterRodinia 2.4Test: OpenMP CFD SolverCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X714212835Min: 18.24 / Avg: 18.28 / Max: 18.31Min: 13.52 / Avg: 13.54 / Max: 13.57Min: 10.89 / Avg: 10.91 / Max: 10.95Min: 31.26 / Avg: 31.47 / Max: 31.761. (CXX) g++ options: -O2 -lOpenCL

OpenSSL

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

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X10002000300040005000SE +/- 2.49, N = 3SE +/- 1.03, N = 3SE +/- 1.60, N = 3SE +/- 0.81, N = 33755.93483.94707.41648.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second Per Core, More Is BetterOpenSSL 1.1.1Performance Per Core - RSA 4096-bit PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X80160240320400375.59290.33294.21206.061. 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.orgSigns Per Second Per Thread, More Is BetterOpenSSL 1.1.1Performance Per Thread - RSA 4096-bit PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200187.80145.16147.11103.031. 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.orgSigns Per Second Per GHz, More Is BetterOpenSSL 1.1.1Performance Per Clock - RSA 4096-bit PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30060090012001500708.66916.821344.97445.541. 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 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X8001600240032004000Min: 3751.4 / Avg: 3755.87 / Max: 3760Min: 3482.3 / Avg: 3483.87 / Max: 3485.8Min: 4705.4 / Avg: 4707.43 / Max: 4710.6Min: 1646.9 / Avg: 1648.47 / Max: 1649.61. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: VGG19 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X510152025SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 316.0915.5419.196.87
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: VGG19 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.36230.72461.08691.44921.81151.61001.30001.20000.85881. 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: VGG19 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.1810.3620.5430.7240.9050.80450.64750.59970.42941. 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: VGG19 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1.2332.4663.6994.9326.1653.044.095.481.861. 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: VGG19 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X510152025Min: 15.97 / Avg: 16.09 / Max: 16.19Min: 15.35 / Avg: 15.54 / Max: 15.66Min: 19 / Avg: 19.19 / Max: 19.39Min: 6.78 / Avg: 6.87 / Max: 6.95

ebizzy

This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X300K600K900K1200K1500KSE +/- 7103.67, N = 4SE +/- 3545.14, N = 3SE +/- 5979.86, N = 3SE +/- 1392.61, N = 3495906107237913730265293401. (CC) gcc options: -pthread -lpthread -O3 -march=native
OpenBenchmarking.orgRecords/s Per Core, More Is Betterebizzy 0.3Performance Per CoreCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20K40K60K80K100K49590.6089364.9285814.1366167.501. 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.orgRecords/s Per Thread, More Is Betterebizzy 0.3Performance Per ThreadCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X10K20K30K40K50K24795.3044682.4642907.0633083.751. 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.orgRecords/s Per GHz, More Is Betterebizzy 0.3Performance Per ClockCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X80K160K240K320K400K93567.17282205.00392293.14143064.861. 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.orgRecords/s, More Is Betterebizzy 0.3Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X200K400K600K800K1000KMin: 483105 / Avg: 495906 / Max: 515115Min: 1068176 / Avg: 1072379.33 / Max: 1079426Min: 1364541 / Avg: 1373026.33 / Max: 1384568Min: 527549 / Avg: 529340.33 / Max: 5320831. (CC) gcc options: -pthread -lpthread -O3 -march=native

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: VGG16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X612182430SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 319.2818.8423.318.65
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: VGG16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.43430.86861.30291.73722.17151.931.571.461.081. 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: VGG16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.21690.43380.65070.86761.08450.96400.78500.72840.54061. 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: VGG16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2468103.644.966.662.341. 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: VGG16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X510152025Min: 19.15 / Avg: 19.28 / Max: 19.47Min: 18.78 / Avg: 18.84 / Max: 18.96Min: 22.96 / Avg: 23.31 / Max: 23.58Min: 8.51 / Avg: 8.65 / Max: 8.8

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

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. This test profile currently makes use of the OpenMP implementation and using the Fayalite-FIST molecular dynamics run and measures the total time to complete. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 6.1Fayalite-FIST DataCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000855.40322.34324.19573.88
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterCP2K Molecular Dynamics 6.1Performance Per Core - Fayalite-FIST DataCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10K8554.033868.045187.094591.061. 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 BetterCP2K Molecular Dynamics 6.1Performance Per Thread - Fayalite-FIST DataCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4K8K12K16K20K17108.067736.0910374.189182.111. 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 BetterCP2K Molecular Dynamics 6.1Performance Per Clock - Fayalite-FIST DataCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X100020003000400050004533.641224.881134.682123.361. 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

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 3840 x 2160Core i9 10900KRyzen 9 3900XRyzen 9 3950X50100150200250SE +/- 1.02, N = 3SE +/- 2.65, N = 3SE +/- 2.14, N = 1581.60215.88202.90
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 3840 x 2160Core i9 10900KRyzen 9 3900XRyzen 9 3950X4080120160200Min: 80.32 / Avg: 81.6 / Max: 83.62Min: 211.38 / Avg: 215.88 / Max: 220.57Min: 188.38 / Avg: 202.9 / Max: 217.37

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 3840 x 2160Core i9 10900KRyzen 9 3900XRyzen 9 3950X7001400210028003500SE +/- 16.36, N = 3SE +/- 42.49, N = 3SE +/- 34.29, N = 151305.643454.053246.42
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 3840 x 2160Core i9 10900KRyzen 9 3900XRyzen 9 3950X6001200180024003000Min: 1285.11 / Avg: 1305.64 / Max: 1337.98Min: 3382.07 / Avg: 3454.05 / Max: 3529.16Min: 3014.04 / Avg: 3246.42 / Max: 3477.87

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: Read While WritingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X800K1600K2400K3200K4000KSE +/- 23468.81, N = 15SE +/- 24056.85, N = 3SE +/- 44137.34, N = 3SE +/- 11607.42, N = 329118822745421361570214083881. (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: Read While WritingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X60K120K180K240K300K291188.20228785.08225981.38176048.501. 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: Read While WritingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30K60K90K120K150K145594.10114392.54112990.6988024.251. 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: Read While WritingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X200K400K600K800K1000K549411.70722479.211033057.71380645.411. 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: Read While WritingCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X600K1200K1800K2400K3000KMin: 2830621 / Avg: 2911882 / Max: 3100290Min: 2710039 / Avg: 2745420.67 / Max: 2791348Min: 3550804 / Avg: 3615702.33 / Max: 3699973Min: 1386925 / Avg: 1408388.33 / Max: 14267811. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

oneDNN MKL-DNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810SE +/- 0.01183, N = 3SE +/- 0.00289, N = 3SE +/- 0.00333, N = 3SE +/- 0.03813, N = 33.309054.653474.589098.40475MIN: 3.03MIN: 4.44MIN: 4.38MIN: 7.791. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215Min: 3.29 / Avg: 3.31 / Max: 3.33Min: 4.65 / Avg: 4.65 / Max: 4.66Min: 4.58 / Avg: 4.59 / Max: 4.6Min: 8.33 / Avg: 8.4 / Max: 8.461. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP CUTCPCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.74341.48682.23022.97363.717SE +/- 0.001089, N = 3SE +/- 0.005196, N = 3SE +/- 0.004000, N = 3SE +/- 0.045911, N = 32.7185602.1058841.3246643.3041981. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterParboil 2.5Performance Per Core - Test: OpenMP CUTCPCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X61218243027.1925.2721.2026.431. 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 BetterParboil 2.5Performance Per Thread - Test: OpenMP CUTCPCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X122436486054.3750.5442.3952.871. 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 BetterParboil 2.5Performance Per Clock - Test: OpenMP CUTCPCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4812162014.4088.0024.63612.2261. 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 BetterParboil 2.5Test: OpenMP CUTCPCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810Min: 2.72 / Avg: 2.72 / Max: 2.72Min: 2.1 / Avg: 2.11 / Max: 2.12Min: 1.32 / Avg: 1.32 / Max: 1.33Min: 3.26 / Avg: 3.3 / Max: 3.41. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X50100150200250SE +/- 0.49, N = 3SE +/- 1.81, N = 3SE +/- 0.21, N = 3SE +/- 1.38, N = 3192.83176.08234.2594.17MIN: 1 / MAX: 779MIN: 1 / MAX: 635MIN: 1 / MAX: 828MIN: 1 / MAX: 310
OpenBenchmarking.orgItems / Sec Per Core, More Is BetterOpenVKL 0.9Performance Per Core - Benchmark: vklBenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X51015202519.2814.6714.6411.771. 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.orgItems / Sec Per Thread, More Is BetterOpenVKL 0.9Performance Per Thread - Benchmark: vklBenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X36912159.647.347.325.891. 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.orgItems / Sec Per GHz, More Is BetterOpenVKL 0.9Performance Per Clock - Benchmark: vklBenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X153045607536.3846.3466.9325.451. 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 4. Ryzen 2700X: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200Min: 192.08 / Avg: 192.83 / Max: 193.75Min: 172.67 / Avg: 176.08 / Max: 178.83Min: 233.83 / Avg: 234.25 / Max: 234.5Min: 91.42 / Avg: 94.17 / Max: 95.67

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

Timed MPlayer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1224364860SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 329.2725.9120.9751.71
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed MPlayer Compilation 1.4Performance Per Core - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X90180270360450292.73310.96335.47413.701. 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 MPlayer Compilation 1.4Performance Per Thread - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000585.46621.91670.94827.411. 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 MPlayer Compilation 1.4Performance Per Clock - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200155.1598.4773.39191.341. 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 MPlayer Compilation 1.4Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1020304050Min: 29.22 / Avg: 29.27 / Max: 29.32Min: 25.89 / Avg: 25.91 / Max: 25.95Min: 20.91 / Avg: 20.97 / Max: 21.03Min: 51.67 / Avg: 51.71 / Max: 51.74

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20K40K60K80K100KSE +/- 226.30, N = 3SE +/- 293.67, N = 3SE +/- 347.43, N = 3SE +/- 231.34, N = 3650027717390026366481. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS Per Core, More Is Better7-Zip Compression 16.02Performance Per Core - Compress Speed TestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X140028004200560070006500.206431.085626.634581.001. 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.orgMIPS Per Thread, More Is Better7-Zip Compression 16.02Performance Per Thread - Compress Speed TestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X70014002100280035003250.103215.542813.312290.501. 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.orgMIPS Per GHz, More Is Better7-Zip Compression 16.02Performance Per Clock - Compress Speed TestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X6K12K18K24K30K12264.5320308.6825721.719904.861. 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.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X16K32K48K64K80KMin: 64708 / Avg: 65002 / Max: 65447Min: 76862 / Avg: 77173 / Max: 77760Min: 89376 / Avg: 90025.67 / Max: 90564Min: 36309 / Avg: 36647.67 / Max: 370901. (CXX) g++ options: -pipe -lpthread

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100SE +/- 0.31, N = 3SE +/- 0.49, N = 3SE +/- 0.43, N = 9SE +/- 0.44, N = 361.7156.6145.11109.97
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed Linux Kernel Compilation 5.4Performance Per Core - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000617.08679.27721.82879.741. 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 Linux Kernel Compilation 5.4Performance Per Thread - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4008001200160020001234.161358.541443.651759.491. 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.orgSeconds x GHz, Fewer Is BetterTimed Linux Kernel Compilation 5.4Performance Per Clock - Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X90180270360450327.05215.10157.90406.881. 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 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 Linux Kernel Compilation 5.4Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100Min: 61.34 / Avg: 61.71 / Max: 62.33Min: 56.05 / Avg: 56.61 / Max: 57.59Min: 43.99 / Avg: 45.11 / Max: 48.29Min: 109.36 / Avg: 109.97 / Max: 110.82

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 352975610074151. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: SwirlCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X142842567052.9063.0062.9451.881. 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.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: SwirlCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X71421283526.4531.5031.4725.941. 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.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: SwirlCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X6012018024030099.81198.95287.71112.161. 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.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000Min: 528 / Avg: 529 / Max: 530Min: 755 / Avg: 756 / Max: 757Min: 1006 / Avg: 1006.67 / Max: 10071. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X901802703604502692954001651. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: EnhancedCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X61218243026.9024.5825.0020.631. 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.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: EnhancedCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X369121513.4512.2912.5010.311. 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.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: EnhancedCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30609012015050.7577.63114.2944.591. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 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

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X10002000300040005000SE +/- 1.07, N = 3SE +/- 9.69, N = 3SE +/- 8.17, N = 3SE +/- 8.80, N = 32677.733480.924743.611963.791. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Core, More Is BetterStress-NG 0.11.07Performance Per Core - Test: CryptoCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X60120180240300267.77290.08296.48245.471. 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.orgBogo Ops/s Per Thread, More Is BetterStress-NG 0.11.07Performance Per Thread - Test: CryptoCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X306090120150133.89145.04148.24122.741. 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.orgBogo Ops/s Per GHz, More Is BetterStress-NG 0.11.07Performance Per Clock - Test: CryptoCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30060090012001500505.23916.031355.32530.751. 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.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X8001600240032004000Min: 2675.6 / Avg: 2677.73 / Max: 2679.04Min: 3468.65 / Avg: 3480.92 / Max: 3500.06Min: 4733.09 / Avg: 4743.61 / Max: 4759.7Min: 1946.27 / Avg: 1963.79 / Max: 1973.981. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Tachyon

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.28, N = 365.7862.6046.01109.521. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTachyon 0.99b6Performance Per Core - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2004006008001000657.82751.22736.15876.131. 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 BetterTachyon 0.99b6Performance Per Thread - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4008001200160020001315.631502.451472.291752.251. 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.orgSeconds x GHz, Fewer Is BetterTachyon 0.99b6Performance Per Clock - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X90180270360450348.64237.89161.03405.211. 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 BetterTachyon 0.99b6Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100Min: 65.75 / Avg: 65.78 / Max: 65.85Min: 62.35 / Avg: 62.6 / Max: 62.76Min: 45.88 / Avg: 46.01 / Max: 46.17Min: 109.2 / Avg: 109.52 / Max: 110.071. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X11M22M33M44M55MSE +/- 535781.83, N = 5SE +/- 651123.15, N = 3SE +/- 180631.09, N = 3SE +/- 168853.47, N = 339969419398231315186717122114085
OpenBenchmarking.orgNodes/second Per Core, More Is BetterasmFish 2018-07-23Performance Per Core - 1024 Hash Memory, 26 DepthCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X900K1800K2700K3600K4500K3996941.903318594.253241698.192764260.631. 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.orgNodes/second Per Thread, More Is BetterasmFish 2018-07-23Performance Per Thread - 1024 Hash Memory, 26 DepthCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X400K800K1200K1600K2000K1998470.951659297.131620849.091382130.311. 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.orgNodes/second Per GHz, More Is BetterasmFish 2018-07-23Performance Per Clock - 1024 Hash Memory, 26 DepthCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3M6M9M12M15M7541399.8110479771.3214819191.715976779.731. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 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.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X9M18M27M36M45MMin: 38802550 / Avg: 39969419.2 / Max: 41782119Min: 39125656 / Avg: 39823131 / Max: 41124250Min: 51601453 / Avg: 51867171.33 / Max: 52211993Min: 21854370 / Avg: 22114085.33 / Max: 22430880

Smallpt

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.010, N = 37.8527.1285.23712.2801. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterSmallpt 1.0Performance Per Core - Global Illumination Renderer; 128 SamplesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2040608010078.5285.5483.7998.241. 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 BetterSmallpt 1.0Performance Per Thread - Global Illumination Renderer; 128 SamplesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200157.04171.07167.58196.481. 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 BetterSmallpt 1.0Performance Per Clock - Global Illumination Renderer; 128 SamplesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X102030405041.6227.0918.3345.441. 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 BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X48121620Min: 7.84 / Avg: 7.85 / Max: 7.86Min: 7.12 / Avg: 7.13 / Max: 7.14Min: 5.23 / Avg: 5.24 / Max: 5.24Min: 12.26 / Avg: 12.28 / Max: 12.291. (CXX) g++ options: -fopenmp -O3

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X11M22M33M44M55MSE +/- 351330.08, N = 3SE +/- 192616.28, N = 3SE +/- 138016.08, N = 3SE +/- 147359.01, N = 3352601913774567250373394219074011. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterStockfish 9Performance Per Core - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X800K1600K2400K3200K4000K3526019.103145472.673148337.132738425.131. 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.orgNodes Per Second Per Thread, More Is BetterStockfish 9Performance Per Thread - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X400K800K1200K1600K2000K1763009.551572736.331574168.561369212.561. 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.orgNodes Per Second Per GHz, More Is BetterStockfish 9Performance Per Clock - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3M6M9M12M15M6652866.239933071.5814392398.295920919.191. 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.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X9M18M27M36M45MMin: 34590508 / Avg: 35260191 / Max: 35779266Min: 37441203 / Avg: 37745672.33 / Max: 38102301Min: 50103175 / Avg: 50373394 / Max: 50557305Min: 21658928 / Avg: 21907400.67 / Max: 221688961. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

Go Benchmarks

Benchmark for monitoring real time performance of the Go implementation for HTTP, JSON and garbage testing per iteration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: jsonCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1.1M2.2M3.3M4.4M5.5MSE +/- 10581.43, N = 3SE +/- 1575.33, N = 3SE +/- 1202.00, N = 3SE +/- 2591.61, N = 33100011311340623216315279566
OpenBenchmarking.orgNanoseconds/Operation x Core, Fewer Is BetterGo BenchmarksPerformance Per Core - Test: jsonCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X9M18M27M36M45M310001103736087237146096422365281. 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.orgNanoseconds/Operation x Thread, Fewer Is BetterGo BenchmarksPerformance Per Thread - Test: jsonCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20M40M60M80M100M620002207472174474292192844730561. 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.orgNanoseconds/Operation x GHz, Fewer Is BetterGo BenchmarksPerformance Per Clock - Test: jsonCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4M8M12M16M20M16430058.311830942.88125708.519534394.21. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 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.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: jsonCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X900K1800K2700K3600K4500KMin: 3079450 / Avg: 3100010.67 / Max: 3114632Min: 3110558 / Avg: 3113405.67 / Max: 3115997Min: 2319797 / Avg: 2321631 / Max: 2323894Min: 5275414 / Avg: 5279566 / Max: 5284329

Tesseract

Tesseract is a fork of Cube 2 Sauerbraten with numerous graphics and game-play improvements. Tesseract has been in development since 2012 while its first release happened in May of 2014. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 3840 x 2160Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X90180270360450SE +/- 7.06, N = 3SE +/- 2.83, N = 3SE +/- 2.38, N = 3SE +/- 1.00, N = 3431.03370.42364.90190.20
OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 3840 x 2160Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X80160240320400Min: 418.94 / Avg: 431.03 / Max: 443.41Min: 364.87 / Avg: 370.42 / Max: 374.16Min: 360.17 / Avg: 364.9 / Max: 367.74Min: 188.37 / Avg: 190.2 / Max: 191.8

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X150K300K450K600K750KSE +/- 1190.05, N = 3SE +/- 670.75, N = 3SE +/- 961.40, N = 3SE +/- 541.33, N = 3517909.12521955.18711755.16315936.821. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Core, More Is BetterCoremark 1.0Performance Per Core - CoreMark Size 666 - Iterations Per SecondCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X11K22K33K44K55K51790.9143496.2744484.7039492.101. 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.orgIterations/Sec Per Thread, More Is BetterCoremark 1.0Performance Per Thread - CoreMark Size 666 - Iterations Per SecondCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X6K12K18K24K30K25895.4621748.1322242.3519746.051. 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.orgIterations/Sec Per GHz, More Is BetterCoremark 1.0Performance Per Clock - CoreMark Size 666 - Iterations Per SecondCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X40K80K120K160K200K97718.70137356.63203358.6285388.331. 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.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X120K240K360K480K600KMin: 515618.96 / Avg: 517909.12 / Max: 519615.48Min: 521210.37 / Avg: 521955.18 / Max: 523293.84Min: 710295.59 / Avg: 711755.16 / Max: 713568.96Min: 315146.74 / Avg: 315936.82 / Max: 316972.911. (CC) gcc options: -O2 -lrt" -lrt

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200SE +/- 1.08, N = 6SE +/- 0.29, N = 3SE +/- 0.19, N = 3SE +/- 0.82, N = 390.1785.5477.87175.41
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Core - Detector: Earthgecko SkylineCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30060090012001500901.651026.491245.901403.261. 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.orgSeconds x Thread, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Thread - Detector: Earthgecko SkylineCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X60012001800240030001803.302052.982491.812806.531. 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.orgSeconds x GHz, Fewer Is BetterNumenta Anomaly Benchmark 1.1Performance Per Clock - Detector: Earthgecko SkylineCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X140280420560700477.88325.06272.54649.011. Core i9 10900K: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.30 2. Ryzen 9 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: Earthgecko SkylineCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X306090120150Min: 88.14 / Avg: 90.16 / Max: 94.51Min: 85.1 / Avg: 85.54 / Max: 86.1Min: 77.57 / Avg: 77.87 / Max: 78.22Min: 174.03 / Avg: 175.41 / Max: 176.86

oneDNN MKL-DNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 356.9153.6150.17111.58MIN: 56.17MIN: 52.74MIN: 49.23MIN: 107.671. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32Core i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X20406080100Min: 56.81 / Avg: 56.91 / Max: 56.96Min: 53.55 / Avg: 53.61 / Max: 53.7Min: 50.05 / Avg: 50.17 / Max: 50.37Min: 111.43 / Avg: 111.57 / Max: 111.771. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X3691215SE +/- 0.01179, N = 3SE +/- 0.00626, N = 3SE +/- 0.05024, N = 3SE +/- 0.01729, N = 36.988667.380835.5347912.30560-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTungsten Renderer 0.2.2Performance Per Core - Scene: Volumetric CausticCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2040608010069.8988.5788.5698.451. 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 BetterTungsten Renderer 0.2.2Performance Per Thread - Scene: Volumetric CausticCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X4080120160200139.77177.14177.11196.891. 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 BetterTungsten Renderer 0.2.2Performance Per Clock - Scene: Volumetric CausticCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X102030405037.0428.0519.3745.531. 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 BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X48121620Min: 6.97 / Avg: 6.99 / Max: 7Min: 7.37 / Avg: 7.38 / Max: 7.39Min: 5.43 / Avg: 5.53 / Max: 5.59Min: 12.27 / Avg: 12.31 / Max: 12.331. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X1.27352.5473.82055.0946.3675SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 34.4354.3295.6602.563
OpenBenchmarking.orgM samples/s Per Core, More Is BetterIndigoBench 4.0.64Performance Per Core - Scene: SupercarCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.09980.19960.29940.39920.4990.44350.36080.35380.32041. 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.orgM samples/s Per Thread, More Is BetterIndigoBench 4.0.64Performance Per Thread - Scene: SupercarCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.04990.09980.14970.19960.24950.22180.18040.17690.16021. 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.orgM samples/s Per GHz, More Is BetterIndigoBench 4.0.64Performance Per Clock - Scene: SupercarCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.36450.7291.09351.4581.82250.83681.14001.62000.69271. 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.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810Min: 4.43 / Avg: 4.44 / Max: 4.44Min: 4.32 / Avg: 4.33 / Max: 4.33Min: 5.66 / Avg: 5.66 / Max: 5.67Min: 2.56 / Avg: 2.56 / Max: 2.56

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30K60K90K120K150KSE +/- 5.31, N = 3SE +/- 26.99, N = 3SE +/- 101.17, N = 3SE +/- 36.35, N = 394530.77108652.40148736.7467689.261. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Core, More Is BetterStress-NG 0.11.07Performance Per Core - Test: Vector MathCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X2K4K6K8K10K9453.089054.379296.058461.161. 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.orgBogo Ops/s Per Thread, More Is BetterStress-NG 0.11.07Performance Per Thread - Test: Vector MathCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X100020003000400050004726.544527.184648.024230.581. 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.orgBogo Ops/s Per GHz, More Is BetterStress-NG 0.11.07Performance Per Clock - Test: Vector MathCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X9K18K27K36K45K17835.9928592.7442496.2118294.391. 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.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X30K60K90K120K150KMin: 94520.92 / Avg: 94530.77 / Max: 94539.12Min: 108621.13 / Avg: 108652.4 / Max: 108706.14Min: 148608.86 / Avg: 148736.74 / Max: 148936.47Min: 67619.95 / Avg: 67689.26 / Max: 67742.91. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

N-Queens

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

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X48121620SE +/- 0.001, N = 3SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.020, N = 310.3509.2276.76014.7961. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterN-Queens 1.0Performance Per Core - Elapsed TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X306090120150103.50110.72108.16118.371. 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 BetterN-Queens 1.0Performance Per Thread - Elapsed TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X50100150200250207.00221.45216.32236.741. 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.orgSeconds x GHz, Fewer Is BetterN-Queens 1.0Performance Per Clock - Elapsed TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X122436486054.8635.0623.6654.751. 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 BetterN-Queens 1.0Elapsed TimeCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X48121620Min: 10.35 / Avg: 10.35 / Max: 10.35Min: 9.2 / Avg: 9.23 / Max: 9.26Min: 6.75 / Avg: 6.76 / Max: 6.77Min: 14.77 / Avg: 14.8 / Max: 14.831. (CC) gcc options: -static -fopenmp -O3 -march=native

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.13ATPase Simulation - 327,506 AtomsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X0.54811.09621.64432.19242.7405SE +/- 0.00248, N = 3SE +/- 0.00117, N = 3SE +/- 0.00216, N = 3SE +/- 0.00591, N = 31.204341.486031.117192.43598
OpenBenchmarking.orgdays/ns x Core, Fewer Is BetterNAMD 2.13Performance Per Core - ATPase Simulation - 327,506 AtomsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X51015202512.0417.8317.8819.491. 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.orgdays/ns x Thread, Fewer Is BetterNAMD 2.13Performance Per Thread - ATPase Simulation - 327,506 AtomsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X91827364524.0935.6735.7538.981. 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.orgdays/ns x GHz, Fewer Is BetterNAMD 2.13Performance Per Clock - ATPase Simulation - 327,506 AtomsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X36912156.3835.6473.9109.0131. 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.orgdays/ns, Fewer Is BetterNAMD 2.13ATPase Simulation - 327,506 AtomsCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X246810Min: 1.2 / Avg: 1.2 / Max: 1.21Min: 1.48 / Avg: 1.49 / Max: 1.49Min: 1.11 / Avg: 1.12 / Max: 1.12Min: 2.42 / Avg: 2.44 / Max: 2.44

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 2700X714212835SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 320.2318.0113.6129.52-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2