Intel Core And AMD Ryzen Desktop CPUs Mid 2024 Linux Benchmarks

Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2407074-NE-DESKTOPMI27
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Performance Per
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Date
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  Test
  Duration
Core i3 14100
July 05
  1 Day, 23 Hours, 14 Minutes
Core i5 14400F
July 01
  2 Days, 51 Minutes
Core i5 14500
June 29
  1 Day, 20 Hours, 59 Minutes
Core i5 14600K
July 03
  1 Day, 8 Hours, 42 Minutes
Core i9 14900K
June 27
  1 Day, 7 Hours, 3 Minutes
Ryzen 5 7600
June 26
  1 Day, 10 Hours, 24 Minutes
Ryzen 5 7600X
June 13
  1 Day, 13 Hours, 52 Minutes
Ryzen 5 8400F
June 22
  1 Day, 11 Hours, 15 Minutes
Ryzen 5 8600G
June 24
  1 Day, 11 Hours, 7 Minutes
Ryzen 7 7700
June 21
  1 Day, 6 Hours, 42 Minutes
Ryzen 7 7700X
June 15
  1 Day, 5 Hours, 46 Minutes
Ryzen 7 7800X3D
June 19
  1 Day, 5 Hours, 38 Minutes
Ryzen 7 8700G
June 10
  1 Day, 11 Hours, 4 Minutes
Ryzen 9 7900
June 12
  1 Day, 3 Hours, 19 Minutes
Ryzen 9 7900X
June 16
  1 Day, 5 Hours, 32 Minutes
Ryzen 9 7900X3D
June 06
  1 Day, 12 Hours, 1 Minute
Ryzen 9 7950X
June 09
  1 Day, 1 Hour, 14 Minutes
Ryzen 9 7950X3D
June 08
  1 Day, 6 Hours, 48 Minutes
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  1 Day, 10 Hours, 32 Minutes

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Intel Core And AMD Ryzen Desktop CPUs Mid 2024 Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DIntel Core i3-14100 @ 4.70GHz (4 Cores / 8 Threads)ASUS PRIME Z790-P WIFI (1658 BIOS)Intel Raptor Lake-S PCH2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C362000GB Corsair MP700 PROAMD Radeon RX 7900 GRE 16GBRealtek ALC897ASUS VP28UUbuntu 24.046.10.0-061000rc2-generic (x86_64)GNOME Shell 46.0X Server + Wayland4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext43840x2160Intel Core i5-14400F @ 4.70GHz (10 Cores / 16 Threads)Intel Core i5-14500 @ 5.00GHz (14 Cores / 20 Threads)Intel Core i5-14600K @ 5.30GHz (14 Cores / 20 Threads)Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)AMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (2007 BIOS)AMD Device 14d82 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16GAMD Navi 31 HDMI/DPDELL U2723QEIntel I225-V + Intel Wi-Fi 6EAMD Ryzen 5 7600X 6-Core @ 5.45GHz (6 Cores / 12 Threads)AMD Ryzen 5 8400F 6-Core @ 4.76GHz (6 Cores / 12 Threads)AMD Device 14e8AMD Ryzen 5 8600G @ 5.07GHz (6 Cores / 12 Threads)AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)AMD Device 14d8AMD Ryzen 7 7700X 8-Core @ 5.57GHz (8 Cores / 16 Threads)AMD Ryzen 7 7800X3D 8-Core @ 5.05GHz (8 Cores / 16 Threads)AMD Ryzen 7 8700G @ 5.18GHz (8 Cores / 16 Threads)AMD Device 14e8AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)AMD Device 14d8AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads)AMD Ryzen 9 7900X3D 12-Core @ 5.66GHz (12 Cores / 24 Threads)AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)AMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vProcessor Details- Core i3 14100: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x35 - Thermald 2.5.6- Core i5 14400F: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6- Core i5 14500: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x35 - Thermald 2.5.6- Core i5 14600K: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6- Core i9 14900K: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6- Ryzen 5 7600: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 5 7600X: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 5 8400F: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705205- Ryzen 5 8600G: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705205- Ryzen 7 7700: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 7 7700X: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 7 7800X3D: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 7 8700G: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa705205- Ryzen 9 7900: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 9 7900X: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 9 7900X3D: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 9 7950X: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206- Ryzen 9 7950X3D: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601206Java Details- OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)Python Details- Python 3.12.3Security Details- Core i3 14100: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected- Core i5 14400F: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected- Core i5 14500: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected- Core i5 14600K: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected- Core i9 14900K: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 7600: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 7600X: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 8400F: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 8600G: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 7700: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 7700X: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 7800X3D: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 8700G: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7900: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7900X: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7900X3D: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7950X: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7950X3D: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DLogarithmic Result OverviewPhoronix Test SuiteminiBUDENAMDOpenSSLPrimesieveOSPRay StudioStockfishXmrigAircrack-ngACES DGEMMLuxCoreRenderPennantCpuminer-OptIndigoBenchWhisper.cppBlenderCoremark7-Zip Compressionuvg266Java JMHEmbreeBRL-CADChaos Group V-RAYParallel BZIP2 CompressionC-RayTimed LLVM CompilationIntel Open Image DenoiseQuantLibTimed Linux Kernel CompilationnginxASTC EncoderAppleseedTimed Godot Game Engine CompilationMemcachedOpenVINOOSPRayKvazaarTimed FFmpeg CompilationTimed Mesa CompilationLAMMPS Molecular Dynamics SimulatorTimed Gem5 CompilationStargate Digital Audio WorkstationSPECFEM3DY-CruncherRocksDBSVT-HEVCJPEG-XL libjxlScyllaDBlibavif avifencPostgreSQLSVT-AV1Apache HTTP ServerSVT-VP9OpenRadiossGPAWDarktableCockroachDBPyTorchSpeedbGraphicsMagickx265VVenCASKAPTensorFlowPJSIPDaCapo BenchmarkTimed PHP CompilationApache IoTDBsrsRAN ProjectONNX RuntimePerl Benchmarksdav1dLlamafileLiquid-DSPNAS Parallel BenchmarksJohn The RipperJPEG-XL Decoding libjxlOpenFOAMCloverLeafAOM AV1Xcompact3d Incompact3dClickHouseRawTherapeeFFmpegDuckDBG'MICZ3 Theorem ProverPyBenchLlama.cppPHPBenchZstd CompressionsimdjsonNgspiceRenaissanceRNNoiseNumpy BenchmarkLibRawDeepSpeechRadiance BenchmarkNode.js V8 Web Tooling BenchmarkeSpeak-NG Speech Enginelibjpeg-turbo tjbenchlibxsmmWebP Image EncodeGitGoogle DracoGcrypt LibraryPyPerformanceCryptsetupFLAC Audio EncodingSecureMarkOgg Audio EncodingGEGLLAME MP3 EncodingGIMPSeleniumGNU Octave BenchmarkOpenSCAD

Intel Core And AMD Ryzen Desktop CPUs Mid 2024 Linux Benchmarkswhisper-cpp: ggml-medium.en - 2016 State of the Unionbuild-linux-kernel: allmodconfiglammps: 20k Atomsopenradioss: Chrysler Neon 1Mopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timexmrig: GhostRider - 1Mquantlib: XXSbuild-llvm: Ninjaopenradioss: INIVOL and Fluid Structure Interaction Drop Containerwhisper-cpp: ggml-small.en - 2016 State of the Unionbuild-gem5: Time To Compileblender: Pabellon Barcelona - CPU-Onlyopenssl: RSA4096openssl: RSA4096clickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachebuild-godot: Time To Compilesecuremark: SecureMark-TLSpgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 1000 - Read Writeminibude: OpenMP - BM2minibude: OpenMP - BM2tensorflow: CPU - 64 - ResNet-50stockfish: Chess Benchmarkopenradioss: Bird Strike on Windshieldapache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400astcenc: Very Thoroughbrl-cad: VGR Performance Metricc-ray: 4K - 16gcrypt: openssl: ChaCha20gpaw: Carbon Nanotubeopenradioss: Bumper Beamastcenc: Exhaustiveappleseed: Emilyprimesieve: 1e13speedb: Read While Writingscylladb: Writesopenssl: AES-128-GCMpgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlyospray-studio: 3 - 4K - 16 - Path Tracer - CPUopenssl: AES-256-GCMopenssl: SHA256openssl: ChaCha20-Poly1305openssl: SHA512pennant: sedovbigspecfem3d: Layered Halfspaceospray: particle_volume/scivis/real_timejava-jmh: Throughputapache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400svt-av1: Preset 3 - Bosphorus 4Kospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUwhisper-cpp: ggml-base.en - 2016 State of the Unioncloverleaf: clover_bm64_shortospray: particle_volume/pathtracer/real_timeopenradioss: Rubber O-Ring Seal Installationblender: Junkshop - CPU-Onlyffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandblender: Fishy Cat - CPU-Onlyffmpeg: libx265 - Uploadoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyspecfem3d: Water-layered Halfspacenamd: STMV with 1,066,628 Atomsduckdb: TPC-H Parquetperl-benchmark: Pod2htmlduckdb: IMDBsimdjson: DistinctUserIDnumpy: ospray: particle_volume/ao/real_timeluxcorerender: Danish Mood - CPUmt-dgemm: Sustained Floating-Point Rateopenradioss: Cell Phone Drop Testpyperformance: asyncio_tcp_sslavifenc: 0vvenc: Bosphorus 4K - Fastpytorch: CPU - 64 - ResNet-50pyperformance: async_tree_iorocksdb: Read While Writingblender: BMW27 - CPU-Onlyappleseed: Disney Materialpyperformance: xml_etreecompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedappleseed: Material Testercockroach: KV, 50% Reads - 128cockroach: KV, 60% Reads - 128cockroach: KV, 95% Reads - 128uvg266: Bosphorus 4K - Slowgromacs: MPI CPU - water_GMX50_baresimdjson: Kostyagmic: 2D Function Plotting, 1000 Timesgraphics-magick: Rotatebuild-linux-kernel: defconfigrocksdb: Rand Readstargate: 192000 - 1024simdjson: TopTweetpytorch: CPU - 16 - ResNet-50ngspice: C2670selenium: Jetstream 2 - Firefoxstargate: 192000 - 512uvg266: Bosphorus 4K - Mediumnpb: BT.Cpjsip: OPTIONS, Statefulcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedapache: 1000openfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timenginx: 1000nginx: 500apache: 500aom-av1: Speed 4 Two-Pass - Bosphorus 4Konnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardperl-benchmark: Interpreterjohn-the-ripper: HMAC-SHA512onnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardluxcorerender: LuxCore Benchmark - CPUsimdjson: PartialTweetsaom-av1: Speed 0 Two-Pass - Bosphorus 4Kllamafile: mistral-7b-instruct-v0.2.Q5_K_M - CPUonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardospray-studio: 3 - 4K - 1 - Path Tracer - CPUpyperformance: python_startuponnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardpyperformance: python_startupngspice: C7552simdjson: LargeRandjohn-the-ripper: MD5onnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardincompact3d: input.i3d 193 Cells Per Directionospray-studio: 3 - 1080p - 1 - Path Tracer - CPUcloverleaf: clover_bmospray-studio: 2 - 4K - 1 - Path Tracer - CPUv-ray: CPUospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUluxcorerender: Orange Juice - CPUonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardspecfem3d: Homogeneous Halfspacestargate: 96000 - 512luxcorerender: DLSC - CPUllama-cpp: Meta-Llama-3-8B-Instruct-Q8_0.ggufcryptsetup: Twofish-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: AES-XTS 256b Decryptioncryptsetup: AES-XTS 256b Encryptioncryptsetup: PBKDF2-whirlpoolcryptsetup: PBKDF2-sha512graphics-magick: Sharpenoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlymemcached: 1:10memcached: 1:100ospray: gravity_spheres_volume/dim_512/pathtracer/real_timepjsip: INVITEnamd: ATPase with 327,506 Atomsstargate: 96000 - 1024tensorflow: CPU - 16 - ResNet-50ospray: gravity_spheres_volume/dim_512/ao/real_timeospray-studio: 3 - 1080p - 16 - Path Tracer - CPUospray: gravity_spheres_volume/dim_512/scivis/real_timeindigobench: CPU - Bedroomopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUindigobench: CPU - Supercaropenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUselenium: Jetstream 2 - Google Chromeospray-studio: 1 - 1080p - 16 - Path Tracer - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUgegl: Cartoononnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardgraphics-magick: Enhancedopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Standardopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUgraphics-magick: Noise-Gaussianopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUspeedb: Update Randopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUspeedb: Read Rand Write Randgraphics-magick: HWB Color Spacegraphics-magick: Resizingspeedb: Rand Readrocksdb: Update Randspecfem3d: Mount St. Helensrocksdb: Read Rand Write Randspecfem3d: Tomographic Modelpyperformance: gc_collectselenium: Octane - Firefoxkvazaar: Bosphorus 4K - Slowc-ray: 1080p - 16openscad: Pistolselenium: Octane - Google Chromejpegxl: JPEG - 90build-php: Time To Compileavifenc: 2npb: LU.Cz3: 2.smt2kvazaar: Bosphorus 4K - Mediumliquid-dsp: 1 - 256 - 512astcenc: Thoroughpyperformance: asyncio_websocketsnpb: IS.Dembree: Pathtracer - Crownnode-web-tooling: build-ffmpeg: Time To Compilegmic: 3D Elevated Function In Rand Colors, 100 Timesembree: Pathtracer ISPC - Crownaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingstargate: 44100 - 1024git: Time To Complete Common Git Commandssvt-av1: Preset 5 - Bosphorus 4Kvvenc: Bosphorus 4K - Fasterrawtherapee: Total Benchmark Timex265: Bosphorus 4Klibxsmm: 64renaissance: Savina Reactors.IOstargate: 44100 - 512embree: Pathtracer - Asian Dragonminibude: OpenMP - BM1minibude: OpenMP - BM1ffmpeg: libx265 - Liveliquid-dsp: 16 - 256 - 32coremark: CoreMark Size 666 - Iterations Per Secondlibxsmm: 32selenium: Speedometer - Firefoxselenium: Speedometer 3.0 - Firefoxembree: Pathtracer ISPC - Asian Dragondacapobench: Tradebeansjpegxl: PNG - 90svt-av1: Preset 3 - Bosphorus 1080pespeak: Text-To-Speech Synthesisselenium: Speedometer 3.0 - Google Chromeuvg266: Bosphorus 4K - Very Fastgegl: Wavelet Blurradiance: SMP Paralleluvg266: Bosphorus 4K - Super Fastsynthmark: VoiceMark_100jpegxl-decode: 1vvenc: Bosphorus 1080p - Fastaom-av1: Speed 6 Two-Pass - Bosphorus 4Kjohn-the-ripper: bcryptcpuminer-opt: scryptuvg266: Bosphorus 4K - Ultra Fastliquid-dsp: 16 - 256 - 512gegl: Color Enhancepyperformance: nbodyliquid-dsp: 32 - 256 - 512pyperformance: django_templatecpuminer-opt: Magicpuminer-opt: Ringcoinjpegxl: PNG - 100jpegxl: JPEG - 100pjsip: OPTIONS, Statelessaom-av1: Speed 4 Two-Pass - Bosphorus 1080pliquid-dsp: 32 - 256 - 32cpuminer-opt: Garlicoinopenscad: Mini-ITX Casecpuminer-opt: x20rpennant: leblancbiggegl: Rotate 90 Degreesselenium: Speedometer - Google Chromedeepspeech: CPUnpb: CG.Caom-av1: Speed 0 Two-Pass - Bosphorus 1080pjohn-the-ripper: Blowfishaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Deepcoinpyperformance: raytracebuild-mesa: Time To Compilejohn-the-ripper: WPA PSKselenium: Kraken - Firefoxkvazaar: Bosphorus 4K - Very Fasty-cruncher: 1Bcpuminer-opt: Quad SHA-256, Pyriteaircrack-ng: tjbench: Decompression Throughputpyperformance: crypto_pyaescpuminer-opt: Blake-2 Sliquid-dsp: 1 - 256 - 32webp: Quality 100, Lossless, Highest Compressioncpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditssvt-av1: Preset 8 - Bosphorus 4Kuvg266: Bosphorus 1080p - Slowuvg266: Bosphorus 1080p - Mediumpyperformance: floatpyperformance: pathlibpyperformance: regex_compilepyperformance: gopyperformance: chaoskvazaar: Bosphorus 4K - Super Fastjpegxl-decode: Allpyperformance: goastcenc: Fastduckdb: Clickbenchvvenc: Bosphorus 1080p - Fasterselenium: Kraken - Google Chromesrsran: PUSCH Processor Benchmark, Throughput Totalcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingsvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kopenscad: Leonardo Phone Case Slimkvazaar: Bosphorus 4K - Ultra Fastnpb: SP.Bselenium: WASM imageConvolute - Google Chromesvt-hevc: 10 - Bosphorus 4Ky-cruncher: 500Mgegl: Antialiasencode-ogg: WAV To Oggsvt-av1: Preset 5 - Bosphorus 1080pdav1d: Summer Nature 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kdacapobench: Apache Tomcatpyperformance: json_loadsluxcorerender: Rainbow Colors and Prism - CPUnpb: FT.Csrsran: PDSCH Processor Benchmark, Throughput Totaldacapobench: H2 Database Engineselenium: WASM collisionDetection - Google Chromepybench: Total For Average Test Timespyperformance: pickle_pure_pythonprimesieve: 1e12z3: 1.smt2pyperformance: json_loadssrsran: PUSCH Processor Benchmark, Throughput Threadselenium: WASM collisionDetection - Firefoxkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumincompact3d: input.i3d 129 Cells Per Directiongegl: Reflectencode-flac: WAV To FLACaom-av1: Speed 11 Realtime - Bosphorus 4Kuvg266: Bosphorus 1080p - Very Fastgegl: Tile Glassdav1d: Chimera 1080p 10-bitnpb: EP.Clibraw: Post-Processing Benchmarkwebp: Quality 100, Losslessgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesaom-av1: Speed 6 Two-Pass - Bosphorus 1080paskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingastcenc: Mediumphpbench: PHP Benchmark Suiteuvg266: Bosphorus 1080p - Super Fastgimp: unsharp-maskselenium: PSPDFKit WASM - Google Chromedav1d: Chimera 1080paskap: Hogbom Clean OpenMPuvg266: Bosphorus 1080p - Ultra Fastgimp: resizeavifenc: 6, Losslessselenium: PSPDFKit WASM - Firefoxnpb: MG.Cselenium: WASM imageConvolute - Firefoxsvt-vp9: VMAF Optimized - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Krnnoise: 26 Minute Long Talking Samplegimp: auto-levelssvt-av1: Preset 13 - Bosphorus 4Kgimp: rotateoctave-benchmark: compress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressiongegl: Cropx265: Bosphorus 1080pgegl: Scaleencode-mp3: WAV To MP3draco: Church Facadeavifenc: 6darktable: Boat - CPU-onlysvt-av1: Preset 8 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Very Fastopenscad: Projector Mount Swivelaom-av1: Speed 9 Realtime - Bosphorus 1080pdraco: Lionaom-av1: Speed 11 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080pavifenc: 10, Losslesssrsran: PDSCH Processor Benchmark, Throughput Threadkvazaar: Bosphorus 1080p - Super Fastdarktable: Masskrug - CPU-onlydav1d: Summer Nature 1080pdarktable: Server Room - CPU-onlylammps: Rhodopsin Proteinkvazaar: Bosphorus 1080p - Ultra Fastsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080popenscad: Retro Carsvt-av1: Preset 13 - Bosphorus 1080pwebp: Quality 100webp: Defaultdarktable: Server Rack - CPU-onlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 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Whisper.cpp

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.6.2Model: ggml-medium.en - Input: 2016 State of the UnionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D7001400210028003500SE +/- 1.86, N = 3SE +/- 2.75, N = 3SE +/- 0.59, N = 3SE +/- 0.36, N = 3SE +/- 1.35, N = 3SE +/- 0.85, N = 3SE +/- 0.93, N = 3SE +/- 0.43, N = 3SE +/- 1.35, N = 3SE +/- 0.44, N = 3SE +/- 0.40, N = 3SE +/- 0.38, N = 3SE +/- 2.07, N = 3SE +/- 0.67, N = 3SE +/- 9.29, N = 3SE +/- 0.72, N = 3SE +/- 0.62, N = 3SE +/- 0.51, N = 31882.913279.842747.612063.141321.861213.152264.591273.521237.14956.67917.061001.631733.23801.311135.01764.22614.39989.22-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 1.10, N = 3SE +/- 4.26, N = 3SE +/- 0.64, N = 3SE +/- 1.07, N = 3SE +/- 0.18, N = 3SE +/- 0.46, N = 3SE +/- 0.38, N = 3SE +/- 0.84, N = 3SE +/- 0.32, N = 3SE +/- 0.29, N = 3SE +/- 0.16, N = 3SE +/- 0.44, N = 3SE +/- 0.61, N = 3SE +/- 1.15, N = 3SE +/- 0.39, N = 3SE +/- 0.58, N = 3SE +/- 0.29, N = 3SE +/- 0.31, N = 32919.991852.921619.091035.68701.341755.651652.641874.591827.911346.231283.921334.291448.601010.93876.06912.07674.26692.79

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.003, N = 3SE +/- 0.014, N = 3SE +/- 0.011, N = 3SE +/- 0.028, N = 3SE +/- 0.089, N = 3SE +/- 0.004, N = 3SE +/- 0.041, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.021, N = 3SE +/- 0.074, N = 8SE +/- 0.029, N = 3SE +/- 0.011, N = 3SE +/- 0.032, N = 3SE +/- 0.224, N = 3SE +/- 0.035, N = 34.8965.6205.93810.06516.3206.8115.5176.3546.5458.9669.3718.8048.37611.55212.95812.52516.97416.6511. (CXX) g++ options: -O3 -lm -ldl

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 3.39, N = 3SE +/- 7.57, N = 3SE +/- 2.63, N = 3SE +/- 2.73, N = 3SE +/- 0.20, N = 3SE +/- 1.17, N = 3SE +/- 1.50, N = 3SE +/- 1.57, N = 3SE +/- 1.09, N = 3SE +/- 1.54, N = 3SE +/- 1.02, N = 3SE +/- 0.94, N = 3SE +/- 0.99, N = 3SE +/- 0.52, N = 3SE +/- 0.37, N = 3SE +/- 2.38, N = 3SE +/- 0.14, N = 3SE +/- 1.79, N = 31249.141454.231185.46946.71695.751024.841010.031018.601005.07887.86883.65882.97857.36803.78794.60759.33761.06721.43

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60012001800240030002643.832802.152061.022179.781747.582666.282663.722653.982660.772553.492529.452150.442551.012187.052159.981912.862119.261867.831. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350321.79327.34274.02232.30202.75284.44274.50298.92297.94241.69240.60224.62259.69219.33209.90196.42195.62185.461. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8001600240032004000SE +/- 1.77, N = 3SE +/- 1.28, N = 3SE +/- 0.64, N = 3SE +/- 8.10, N = 3SE +/- 11.25, N = 2SE +/- 4.91, N = 3SE +/- 3.55, N = 3SE +/- 2.76, N = 3SE +/- 7.73, N = 3SE +/- 18.26, N = 3SE +/- 11.29, N = 3SE +/- 2.37, N = 3SE +/- 4.92, N = 3SE +/- 15.27, N = 3SE +/- 10.61, N = 3SE +/- 7.18, N = 3SE +/- 10.05, N = 3SE +/- 12.12, N = 3615.1898.7903.11958.82794.61420.61447.9856.9894.51743.21773.61818.8921.72822.82986.12789.53516.93531.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

QuantLib

OpenBenchmarking.orgtasks/s, More Is BetterQuantLib 1.35-devSize: XXSCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.00037, N = 3SE +/- 0.01444, N = 3SE +/- 0.00865, N = 3SE +/- 0.02944, N = 3SE +/- 0.05472, N = 3SE +/- 0.00151, N = 3SE +/- 0.00158, N = 3SE +/- 0.00226, N = 3SE +/- 0.00122, N = 3SE +/- 0.00707, N = 3SE +/- 0.01290, N = 3SE +/- 0.00232, N = 3SE +/- 0.00129, N = 3SE +/- 0.00547, N = 3SE +/- 0.02428, N = 3SE +/- 0.01612, N = 3SE +/- 0.01885, N = 3SE +/- 0.00788, N = 33.800335.792816.618239.7878613.468306.591706.898316.096926.223308.117368.572778.564787.5065810.5036012.1810012.3908014.4801015.393101. (CXX) g++ options: -O3 -march=native -fPIE -pie

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 0.30, N = 3SE +/- 2.19, N = 3SE +/- 0.70, N = 3SE +/- 0.60, N = 3SE +/- 0.48, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.38, N = 3SE +/- 0.17, N = 3SE +/- 0.39, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 31327.19880.00758.37492.59337.02797.31762.06869.23848.63624.42605.35603.53679.32457.69411.99416.02331.31326.15

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D160320480640800SE +/- 2.44, N = 3SE +/- 6.86, N = 3SE +/- 1.63, N = 3SE +/- 2.79, N = 3SE +/- 1.00, N = 3SE +/- 0.66, N = 3SE +/- 7.40, N = 3SE +/- 0.23, N = 3SE +/- 0.35, N = 3SE +/- 0.69, N = 3SE +/- 0.49, N = 3SE +/- 4.14, N = 3SE +/- 0.43, N = 3SE +/- 0.66, N = 3SE +/- 2.14, N = 3SE +/- 3.94, N = 9SE +/- 2.28, N = 3SE +/- 1.70, N = 3735.75751.25648.36445.05293.14542.39532.93596.24580.71472.19461.35445.54507.53334.58312.50308.20269.31250.17

Whisper.cpp

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.6.2Model: ggml-small.en - Input: 2016 State of the UnionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.66, N = 3SE +/- 7.34, N = 3SE +/- 1.10, N = 3SE +/- 0.51, N = 3SE +/- 0.81, N = 3SE +/- 0.44, N = 3SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.19, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.37, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 1.14, N = 3SE +/- 0.36, N = 3SE +/- 0.10, N = 3SE +/- 1.01, N = 3610.511129.51861.41666.05438.21402.51719.57415.76402.65316.67303.84324.86556.93267.51372.93257.93213.00323.92-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.64, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.33, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.99, N = 3SE +/- 0.30, N = 3SE +/- 0.77, N = 3844.87575.28500.25343.15247.04531.01504.80575.27560.06424.06409.74418.69456.70324.56297.51302.62249.42248.48

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.96, N = 3SE +/- 1.19, N = 3SE +/- 0.52, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.76, N = 3SE +/- 0.97, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.89, N = 3SE +/- 0.64, N = 3SE +/- 0.30, N = 3SE +/- 0.43, N = 3SE +/- 0.42, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3794.87518.35452.90280.37187.23425.10402.40467.64456.42329.03305.85327.61357.53249.38206.18217.74154.62163.27

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80K160K240K320K400KSE +/- 482.29, N = 3SE +/- 1180.41, N = 3SE +/- 20.24, N = 9SE +/- 1636.02, N = 3SE +/- 906.72, N = 3SE +/- 245.88, N = 3SE +/- 323.73, N = 3SE +/- 55.28, N = 3SE +/- 112.09, N = 3SE +/- 178.37, N = 3SE +/- 329.79, N = 3SE +/- 71.59, N = 3SE +/- 110.97, N = 3SE +/- 262.50, N = 3SE +/- 769.22, N = 3SE +/- 277.64, N = 3SE +/- 637.71, N = 3SE +/- 502.93, N = 399855.4147820.0162403.6233617.1330864.3144881.6141617.8132830.7136653.3193242.2197800.3181261.5181087.3269274.7291492.8276165.0390553.3373708.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 4.69, N = 3SE +/- 20.70, N = 3SE +/- 32.06, N = 9SE +/- 29.87, N = 3SE +/- 33.98, N = 3SE +/- 7.93, N = 3SE +/- 4.93, N = 3SE +/- 9.46, N = 3SE +/- 5.17, N = 3SE +/- 7.40, N = 3SE +/- 9.72, N = 3SE +/- 11.82, N = 3SE +/- 2.25, N = 3SE +/- 9.30, N = 3SE +/- 73.63, N = 3SE +/- 15.05, N = 3SE +/- 35.97, N = 3SE +/- 32.48, N = 31536.92348.02563.23614.45128.35598.45682.15358.75476.97149.07899.36981.06953.19237.811618.310314.015041.113765.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.62, N = 3SE +/- 0.82, N = 3SE +/- 2.18, N = 3SE +/- 2.56, N = 4SE +/- 1.57, N = 3SE +/- 1.24, N = 3SE +/- 1.34, N = 7SE +/- 1.36, N = 3SE +/- 1.82, N = 3SE +/- 1.76, N = 3SE +/- 0.24, N = 3SE +/- 1.88, N = 3SE +/- 3.77, N = 3SE +/- 1.99, N = 3SE +/- 3.24, N = 3SE +/- 2.57, N = 12SE +/- 1.69, N = 3SE +/- 1.82, N = 12163.13210.09223.58274.29300.48223.33219.89200.63202.38249.21252.23265.67211.08266.26279.10292.70268.97301.24MIN: 4.62 / MAX: 10000MIN: 7.82 / MAX: 10000MIN: 9.13 / MAX: 7500MIN: 13.38 / MAX: 10000MIN: 19.44 / MAX: 10000MIN: 7.91 / MAX: 10000MIN: 7.62 / MAX: 12000MIN: 7.53 / MAX: 8571.43MIN: 7.69 / MAX: 8571.43MIN: 10.37 / MAX: 10000MIN: 10.92 / MAX: 12000MIN: 9.99 / MAX: 10000MIN: 9.21 / MAX: 8571.43MIN: 13.57 / MAX: 8571.43MIN: 16.01 / MAX: 12000MIN: 14.71 / MAX: 10000MIN: 20.25 / MAX: 10000MIN: 14.75 / MAX: 12000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.98, N = 3SE +/- 2.09, N = 3SE +/- 0.71, N = 3SE +/- 1.81, N = 4SE +/- 2.75, N = 3SE +/- 0.98, N = 3SE +/- 1.38, N = 7SE +/- 1.33, N = 3SE +/- 2.04, N = 3SE +/- 1.10, N = 3SE +/- 2.29, N = 3SE +/- 1.84, N = 3SE +/- 1.72, N = 3SE +/- 1.13, N = 3SE +/- 1.73, N = 3SE +/- 2.66, N = 12SE +/- 0.77, N = 3SE +/- 2.75, N = 12161.99209.87221.58272.24303.13221.99216.93200.59201.99245.21248.23271.11215.23260.36277.81291.16272.22298.82MIN: 4.67 / MAX: 10000MIN: 7.89 / MAX: 8571.43MIN: 9.24 / MAX: 8571.43MIN: 14.27 / MAX: 10000MIN: 22.36 / MAX: 10000MIN: 7.91 / MAX: 10000MIN: 7.34 / MAX: 10000MIN: 7.5 / MAX: 10000MIN: 7.68 / MAX: 10000MIN: 10.25 / MAX: 12000MIN: 10.94 / MAX: 12000MIN: 10.01 / MAX: 12000MIN: 9.25 / MAX: 10000MIN: 13.78 / MAX: 7500MIN: 16.12 / MAX: 8571.43MIN: 14.8 / MAX: 12000MIN: 19.99 / MAX: 10000MIN: 19.87 / MAX: 10000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60120180240300SE +/- 1.41, N = 3SE +/- 1.61, N = 3SE +/- 2.40, N = 3SE +/- 2.99, N = 4SE +/- 3.18, N = 3SE +/- 2.00, N = 3SE +/- 1.73, N = 7SE +/- 0.17, N = 3SE +/- 1.69, N = 3SE +/- 1.77, N = 3SE +/- 1.52, N = 3SE +/- 0.56, N = 3SE +/- 0.82, N = 3SE +/- 1.29, N = 3SE +/- 2.02, N = 3SE +/- 2.39, N = 12SE +/- 0.59, N = 3SE +/- 2.57, N = 12150.27194.82210.92252.15267.84203.75194.59182.30185.77224.61227.48242.53196.37243.02245.31251.52239.33265.64MIN: 4.58 / MAX: 10000MIN: 7.83 / MAX: 8571.43MIN: 9.09 / MAX: 8571.43MIN: 13.57 / MAX: 10000MIN: 18 / MAX: 8571.43MIN: 7.73 / MAX: 10000MIN: 7.45 / MAX: 10000MIN: 7.38 / MAX: 8571.43MIN: 7.55 / MAX: 10000MIN: 10.11 / MAX: 10000MIN: 10.76 / MAX: 10000MIN: 10.09 / MAX: 10000MIN: 9.04 / MAX: 8571.43MIN: 13.18 / MAX: 8571.43MIN: 15.67 / MAX: 8571.43MIN: 14.43 / MAX: 10000MIN: 12.14 / MAX: 8571.43MIN: 12.19 / MAX: 10000

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D150300450600750SE +/- 0.15, N = 3SE +/- 1.17, N = 3SE +/- 0.26, N = 3SE +/- 0.37, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.44, N = 3675.25454.20390.35262.03181.52407.90389.05449.05437.77322.73311.44311.61354.88243.50218.41220.52176.55175.39

SecureMark

SecureMark is an objective, standardized benchmarking framework for measuring the efficiency of cryptographic processing solutions developed by EEMBC. SecureMark-TLS is benchmarking Transport Layer Security performance with a focus on IoT/edge computing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D100K200K300K400K500KSE +/- 541.86, N = 3SE +/- 1276.50, N = 3SE +/- 814.88, N = 3SE +/- 175.72, N = 3SE +/- 1835.35, N = 3SE +/- 1853.64, N = 3SE +/- 848.80, N = 3SE +/- 612.99, N = 3SE +/- 489.09, N = 3SE +/- 236.48, N = 3SE +/- 913.89, N = 3SE +/- 137.18, N = 3SE +/- 644.84, N = 3SE +/- 239.73, N = 3SE +/- 2297.28, N = 3SE +/- 8722.88, N = 9SE +/- 1300.53, N = 3SE +/- 1382.59, N = 33780333715964014414279434763304239204530313912504136024445144516823973664246314498384321964339394418874151961. (CC) gcc options: -pedantic -O3

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average LatencyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1428425670SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.71, N = 12SE +/- 0.29, N = 7SE +/- 2.04, N = 9SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.10, N = 3SE +/- 0.54, N = 12SE +/- 0.25, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.99, N = 10SE +/- 0.52, N = 12SE +/- 0.55, N = 12SE +/- 1.15, N = 9SE +/- 0.24, N = 364.2744.2639.7231.6833.5447.2749.4453.7452.2638.8537.2835.3244.2234.1231.9032.4229.7639.411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read WriteCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D7K14K21K28K35KSE +/- 14.75, N = 3SE +/- 52.88, N = 3SE +/- 413.66, N = 12SE +/- 280.75, N = 7SE +/- 1633.77, N = 9SE +/- 46.64, N = 3SE +/- 114.45, N = 3SE +/- 131.81, N = 3SE +/- 35.11, N = 3SE +/- 332.00, N = 12SE +/- 177.77, N = 3SE +/- 147.73, N = 3SE +/- 76.46, N = 3SE +/- 771.43, N = 10SE +/- 458.43, N = 12SE +/- 470.43, N = 12SE +/- 1074.79, N = 9SE +/- 153.03, N = 31556022596252553157730605211552022618609191342579326827283142261329510314303092933938253761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1224364860SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.033, N = 3SE +/- 0.015, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.014, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.059, N = 3SE +/- 0.062, N = 3SE +/- 0.071, N = 3SE +/- 0.023, N = 3SE +/- 0.025, N = 36.5128.6359.03912.50819.70519.24320.41117.80918.40825.96427.21225.30924.12834.90039.27337.92253.36351.7181. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.83, N = 3SE +/- 0.36, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.36, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 1.47, N = 3SE +/- 1.53, N = 3SE +/- 1.78, N = 3SE +/- 0.57, N = 3SE +/- 0.63, N = 3162.79215.88225.97312.70492.62481.06510.27445.22460.21649.11680.31632.72603.20872.51981.82948.051334.081292.961. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1020304050SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 316.5319.5221.5027.6636.3726.3123.8625.5526.0431.5732.8232.4528.8536.6138.2138.5244.0442.48

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 1024 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10M20M30M40M50MSE +/- 59486.20, N = 12SE +/- 103912.04, N = 8SE +/- 154824.02, N = 5SE +/- 274008.99, N = 15SE +/- 852035.89, N = 12SE +/- 144013.33, N = 3SE +/- 129900.64, N = 15SE +/- 178379.10, N = 3SE +/- 188064.97, N = 4SE +/- 212431.61, N = 6SE +/- 251178.72, N = 5SE +/- 301792.22, N = 3SE +/- 259540.84, N = 3SE +/- 113002.17, N = 3SE +/- 316794.65, N = 15SE +/- 320356.74, N = 6SE +/- 421469.15, N = 3SE +/- 828652.10, N = 1580544721240969714029688241946163827141716829348166522011503320615419052214395302408850323138694183519032920350235502698339241374703381446112489-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80160240320400SE +/- 0.29, N = 3SE +/- 3.62, N = 3SE +/- 3.36, N = 3SE +/- 1.63, N = 3SE +/- 0.61, N = 3SE +/- 0.37, N = 3SE +/- 0.49, N = 3SE +/- 0.99, N = 3SE +/- 0.19, N = 3SE +/- 0.71, N = 3SE +/- 0.21, N = 3SE +/- 0.62, N = 3SE +/- 0.59, N = 3SE +/- 0.48, N = 3SE +/- 0.24, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.27, N = 3376.32362.62338.60233.00173.56284.11274.51310.62299.87232.33225.38220.50245.37182.40167.31169.75145.44141.14

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 10.58, N = 3SE +/- 4.04, N = 3SE +/- 3.70, N = 3SE +/- 3.79, N = 3SE +/- 5.55, N = 3SE +/- 1.46, N = 3SE +/- 0.44, N = 3SE +/- 6.32, N = 3SE +/- 4.54, N = 3SE +/- 7.63, N = 3SE +/- 7.49, N = 3SE +/- 6.04, N = 3SE +/- 9.11, N = 3SE +/- 4.08, N = 3SE +/- 2.78, N = 3SE +/- 4.25, N = 3SE +/- 0.69, N = 3SE +/- 2.36, N = 3885.79575.26479.81359.85312.48502.67523.48510.09515.60396.83402.65403.43441.52350.06352.01348.49343.62328.96MAX: 28433.49MAX: 27809.83MAX: 28070.02MAX: 27676.49MAX: 27596.75MAX: 27496.58MAX: 28436.15MAX: 28579.77MAX: 27523.17MAX: 27999.39MAX: 28173.6MAX: 27932.17MAX: 28272.88MAX: 27940.86MAX: 27652.01MAX: 27470.82MAX: 27247.95MAX: 27801.57

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20M40M60M80M100MSE +/- 129034.23, N = 3SE +/- 149141.59, N = 3SE +/- 113386.64, N = 3SE +/- 306840.47, N = 3SE +/- 719452.89, N = 3SE +/- 166311.84, N = 3SE +/- 102620.41, N = 3SE +/- 405937.66, N = 3SE +/- 185101.82, N = 3SE +/- 429607.10, N = 3SE +/- 487362.37, N = 3SE +/- 470104.43, N = 3SE +/- 389675.44, N = 3SE +/- 344253.35, N = 3SE +/- 332030.88, N = 3SE +/- 662812.69, N = 3SE +/- 220956.54, N = 3SE +/- 21290.26, N = 3260567994138768049455908662861927869725248165268459673044684362746832878586373745860573758648501539521736801726969499071698065597208357473423096

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.63671.27341.91012.54683.1835SE +/- 0.0068, N = 3SE +/- 0.0101, N = 7SE +/- 0.0103, N = 12SE +/- 0.0067, N = 3SE +/- 0.0107, N = 3SE +/- 0.0002, N = 3SE +/- 0.0004, N = 3SE +/- 0.0006, N = 3SE +/- 0.0002, N = 3SE +/- 0.0006, N = 3SE +/- 0.0009, N = 3SE +/- 0.0010, N = 3SE +/- 0.0003, N = 3SE +/- 0.0010, N = 3SE +/- 0.0029, N = 3SE +/- 0.0014, N = 3SE +/- 0.0028, N = 3SE +/- 0.0030, N = 30.74951.07621.13791.68422.40491.03161.01700.97451.00191.34491.43211.27901.22591.78432.05251.94212.82982.53991. (CXX) g++ options: -O3 -flto -pthread

BRL-CAD

BRL-CAD 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 7.38.2VGR Performance MetricCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D100K200K300K400K500K1013651761991941523070254536781672071775111655871664002187552330582148552154052706403126032984184195803962491. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6

C-Ray

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 2.0Resolution: 4K - Rays Per Pixel: 16Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D100200300400500SE +/- 0.38, N = 3SE +/- 1.04, N = 3SE +/- 0.90, N = 3SE +/- 1.01, N = 3SE +/- 0.28, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.45, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3461.65298.43253.69172.42118.97297.74281.80315.16306.57228.25213.96244.12236.99171.48145.21155.33108.40116.851. (CC) gcc options: -lpthread -lm

Gcrypt Library

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.10.3Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.28, N = 3SE +/- 0.68, N = 3SE +/- 0.45, N = 3SE +/- 0.19, N = 3SE +/- 0.43, N = 3SE +/- 0.40, N = 3SE +/- 0.66, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.13, N = 3SE +/- 0.40, N = 3SE +/- 1.05, N = 3SE +/- 0.62, N = 3SE +/- 1.84, N = 3SE +/- 1.30, N = 12SE +/- 0.64, N = 3SE +/- 1.98, N = 12176.15179.30165.44155.50138.58165.72158.33179.59167.93159.11153.94169.61165.80157.17156.62157.94156.29158.361. (CC) gcc options: -O2 -fvisibility=hidden

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30000M60000M90000M120000M150000MSE +/- 276014.13, N = 3SE +/- 185844089.92, N = 3SE +/- 4963378.21, N = 3SE +/- 719620.33, N = 3SE +/- 365344152.36, N = 3SE +/- 9095351.45, N = 3SE +/- 1046506763.46, N = 12SE +/- 7381377.70, N = 3SE +/- 7878136.43, N = 3SE +/- 3967916.19, N = 3SE +/- 11144301.20, N = 3SE +/- 19249061.18, N = 3SE +/- 26453519.80, N = 3SE +/- 16810381.02, N = 3SE +/- 42097198.81, N = 3SE +/- 9581152.64, N = 3SE +/- 51100601.36, N = 3SE +/- 9991781.59, N = 31815804832327278120147313783362434418588490063368833890499758062174513867271446668209900483187656476710431653069874425400650414191936292124813391441462930102485664107975699088831372451943771309305806871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80160240320400SE +/- 0.40, N = 3SE +/- 0.82, N = 3SE +/- 1.14, N = 3SE +/- 0.76, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 1.38, N = 3SE +/- 0.45, N = 3SE +/- 0.05, N = 3SE +/- 0.49, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3319.39358.79288.21217.81153.79225.30218.45237.35233.41192.87188.94179.93202.61159.27149.40140.67136.85125.331. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.36, N = 3SE +/- 3.19, N = 12SE +/- 1.64, N = 3SE +/- 0.45, N = 3SE +/- 0.59, N = 3SE +/- 0.53, N = 3SE +/- 0.24, N = 3SE +/- 1.16, N = 3SE +/- 0.21, N = 3SE +/- 1.71, N = 3SE +/- 0.91, N = 3SE +/- 0.35, N = 3SE +/- 1.79, N = 3SE +/- 1.19, N = 4SE +/- 1.00, N = 7SE +/- 0.96, N = 3SE +/- 0.92, N = 5SE +/- 1.14, N = 3214.24238.43222.30154.16118.92150.07144.41172.04170.16131.48128.21133.09150.14113.51106.09110.5292.5795.51

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.39010.78021.17031.56041.9505SE +/- 0.0024, N = 3SE +/- 0.0086, N = 3SE +/- 0.0066, N = 6SE +/- 0.0032, N = 3SE +/- 0.0024, N = 3SE +/- 0.0002, N = 3SE +/- 0.0004, N = 3SE +/- 0.0002, N = 3SE +/- 0.0002, N = 3SE +/- 0.0001, N = 3SE +/- 0.0004, N = 3SE +/- 0.0004, N = 3SE +/- 0.0002, N = 3SE +/- 0.0006, N = 3SE +/- 0.0003, N = 3SE +/- 0.0001, N = 3SE +/- 0.0005, N = 3SE +/- 0.0006, N = 30.44930.64400.67781.02841.47420.63230.62290.59710.61440.82460.87730.78340.75171.09271.25191.18901.73361.55481. (CXX) g++ options: -O3 -flto -pthread

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D130260390520650596.72400.66362.86249.34178.43339.11322.99369.57359.48262.38249.11261.12284.53201.90177.52184.44140.70146.21

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D100200300400500SE +/- 0.37, N = 3SE +/- 3.77, N = 3SE +/- 0.55, N = 3SE +/- 0.36, N = 3SE +/- 0.83, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3464.16298.80288.44193.45143.38206.52208.05224.53219.53161.75148.04165.13183.27125.14104.43111.4276.6085.101. (CXX) g++ options: -O3

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.3M2.6M3.9M5.2M6.5MSE +/- 9696.83, N = 3SE +/- 91678.43, N = 15SE +/- 139363.89, N = 15SE +/- 164236.10, N = 15SE +/- 260118.12, N = 15SE +/- 2896.30, N = 3SE +/- 17965.84, N = 15SE +/- 11592.71, N = 3SE +/- 27913.78, N = 3SE +/- 7843.44, N = 3SE +/- 14479.19, N = 3SE +/- 26566.51, N = 15SE +/- 31656.54, N = 15SE +/- 44799.44, N = 3SE +/- 52571.15, N = 12SE +/- 41819.43, N = 15SE +/- 37896.20, N = 12SE +/- 22528.84, N = 31231689263372729643003898776595835923698662255174223345222621473110260325873533157412899281397983940724044115459546248654746611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

ScyllaDB

This is a benchmark of ScyllaDB and is making use of Apache Cassandra's cassandra-stress for conducting the benchmark. ScyllaDB is an open-source distributed NoSQL data store that is compatible with Apache Cassandra while focusing on higher throughput and lower latency. ScyllaDB uses a sharded design on each node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: WritesCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 176.88, N = 3SE +/- 251.40, N = 3SE +/- 422.05, N = 3SE +/- 478.31, N = 3SE +/- 40.83, N = 3SE +/- 163.50, N = 3SE +/- 91.01, N = 3SE +/- 171.05, N = 3SE +/- 300.11, N = 3SE +/- 208.65, N = 3SE +/- 271.55, N = 3SE +/- 358.01, N = 3SE +/- 959.72, N = 12SE +/- 281.47, N = 3SE +/- 464.62, N = 3SE +/- 339.92, N = 3SE +/- 348.95, N = 3SE +/- 295.62, N = 35932867837897151198161768557416157361666896851390068933678780972596110869120455114115157663152262

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60000M120000M180000M240000M300000MSE +/- 13052535.37, N = 3SE +/- 578272219.60, N = 4SE +/- 47796128.65, N = 3SE +/- 24435383.09, N = 3SE +/- 175339343.36, N = 3SE +/- 30285231.65, N = 3SE +/- 40673855.84, N = 3SE +/- 37963496.22, N = 3SE +/- 24892267.64, N = 3SE +/- 41102005.12, N = 3SE +/- 14343060.71, N = 3SE +/- 25438028.29, N = 3SE +/- 50249958.52, N = 3SE +/- 109434681.69, N = 3SE +/- 110200292.69, N = 3SE +/- 68522252.28, N = 3SE +/- 123482353.88, N = 3SE +/- 547481804.77, N = 33315411644756053086448706299565401029324844601549281362839859435214710117990445792170527813947859923871289044374871370831578031266424651771228930881771717048957172011099882401885898568102683551045872526979062931. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average LatencyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.91641.83282.74923.66564.582SE +/- 0.012, N = 3SE +/- 0.028, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.025, N = 12SE +/- 0.025, N = 12SE +/- 0.018, N = 3SE +/- 0.004, N = 3SE +/- 0.031, N = 3SE +/- 0.023, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 34.0732.7792.4612.0951.1993.1793.3993.5803.4882.5172.4661.5412.9811.3481.2861.0920.9790.8181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read OnlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D300K600K900K1200K1500KSE +/- 735.78, N = 3SE +/- 3544.01, N = 3SE +/- 771.81, N = 3SE +/- 1167.08, N = 3SE +/- 1027.15, N = 3SE +/- 2447.71, N = 12SE +/- 2080.30, N = 12SE +/- 1431.77, N = 3SE +/- 362.17, N = 3SE +/- 4932.20, N = 3SE +/- 3708.68, N = 3SE +/- 1912.43, N = 3SE +/- 561.97, N = 3SE +/- 5764.46, N = 3SE +/- 707.99, N = 3SE +/- 2622.79, N = 3SE +/- 7980.52, N = 3SE +/- 5012.23, N = 3245535359922406252477266834360314751294390279361286718397441405515649076335482742113777708916226102138512232861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80K160K240K320K400KSE +/- 85.91, N = 3SE +/- 3533.94, N = 3SE +/- 1077.20, N = 3SE +/- 242.44, N = 3SE +/- 787.24, N = 3SE +/- 115.60, N = 3SE +/- 94.87, N = 3SE +/- 121.32, N = 3SE +/- 68.76, N = 3SE +/- 220.83, N = 3SE +/- 191.92, N = 3SE +/- 439.36, N = 3SE +/- 153.06, N = 3SE +/- 191.37, N = 3SE +/- 95.67, N = 3SE +/- 402.93, N = 3SE +/- 59.08, N = 3SE +/- 40.32, N = 3369669245638230130146501995782194512081032403842340001639861566541633451793311205441052671106237916883592

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50000M100000M150000M200000M250000MSE +/- 7055191.19, N = 3SE +/- 201963468.67, N = 3SE +/- 5234445.92, N = 3SE +/- 240122194.86, N = 3SE +/- 220704096.88, N = 3SE +/- 9454984.17, N = 3SE +/- 9470023.07, N = 3SE +/- 6088472.70, N = 3SE +/- 5166601.46, N = 3SE +/- 39066473.49, N = 3SE +/- 36966056.95, N = 3SE +/- 21405097.50, N = 3SE +/- 69039683.61, N = 3SE +/- 98483896.80, N = 3SE +/- 22791706.81, N = 3SE +/- 127802093.71, N = 3SE +/- 182364119.11, N = 3SE +/- 80124320.10, N = 328585037913493707645376267676080389656733693136476021010844594121378730171781078818380277809172820901104726946231168590098871083208379971037161667701477597275031717214207101613420902632296947979602163039730801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8000M16000M24000M32000M40000MSE +/- 6502197.17, N = 3SE +/- 97305728.30, N = 3SE +/- 33200088.36, N = 3SE +/- 30922761.58, N = 3SE +/- 89374930.56, N = 3SE +/- 3685909.09, N = 3SE +/- 13502528.77, N = 3SE +/- 3391571.64, N = 3SE +/- 6822513.93, N = 3SE +/- 10733656.97, N = 3SE +/- 4554506.72, N = 3SE +/- 10419605.49, N = 3SE +/- 2227506.24, N = 3SE +/- 2829908.78, N = 3SE +/- 21433294.52, N = 3SE +/- 5370923.05, N = 3SE +/- 5122503.72, N = 3SE +/- 18484712.72, N = 3622339426311314584210143932005202081306335033258423793132029993301266025121312356319230127395267131743356088018276562437160776066571644378251323422051187268759006402503172930036112717797336851035171. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20000M40000M60000M80000M100000MSE +/- 5907951.10, N = 3SE +/- 3918977.44, N = 3SE +/- 1082739.55, N = 3SE +/- 49349478.88, N = 3SE +/- 13289468.51, N = 3SE +/- 2341933.82, N = 3SE +/- 11217202.57, N = 3SE +/- 16156481.90, N = 3SE +/- 385914.54, N = 3SE +/- 3684291.80, N = 3SE +/- 1655657.06, N = 3SE +/- 4906768.27, N = 3SE +/- 11002950.94, N = 3SE +/- 18619696.43, N = 3SE +/- 10704194.70, N = 3SE +/- 8961382.10, N = 3SE +/- 12662614.40, N = 3SE +/- 13171812.34, N = 31213522229718479094553204671882572996306821343419797367356297228273077335247733156132047342694868304769700641049651649337463339092204453802302764824923840729507220136912865430397503846853926505690001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3000M6000M9000M12000M15000MSE +/- 1499159.12, N = 3SE +/- 37251720.56, N = 3SE +/- 2463000.86, N = 3SE +/- 30702394.69, N = 3SE +/- 6755660.56, N = 3SE +/- 204732.05, N = 3SE +/- 458672.32, N = 3SE +/- 498910.56, N = 3SE +/- 563975.61, N = 3SE +/- 761930.95, N = 3SE +/- 1285033.74, N = 3SE +/- 2257851.60, N = 3SE +/- 1465298.21, N = 3SE +/- 825091.09, N = 3SE +/- 37202545.39, N = 3SE +/- 2093715.33, N = 3SE +/- 1796377.88, N = 3SE +/- 538336.46, N = 32256544047366146698347238365106737647163103389341374288925723412305728340058338274130110360568268794359198886835065063923543557955376771418538679927303800591757311688134707107766647501. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.17, N = 3SE +/- 23.52, N = 9SE +/- 27.47, N = 6SE +/- 4.95, N = 12SE +/- 2.92, N = 12SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.21, N = 386.65244.23239.97192.32142.7254.8953.4957.6556.8147.6646.8942.0049.5437.8436.9131.0434.9827.101. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Layered HalfspaceCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60120180240300SE +/- 1.55, N = 3SE +/- 1.71, N = 3SE +/- 1.91, N = 3SE +/- 0.94, N = 3SE +/- 0.60, N = 15SE +/- 1.70, N = 5SE +/- 1.50, N = 3SE +/- 0.54, N = 3SE +/- 0.05, N = 3SE +/- 1.50, N = 3SE +/- 0.78, N = 3SE +/- 0.89, N = 3SE +/- 0.80, N = 3SE +/- 0.89, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3253.46234.28193.22142.3493.69162.95156.51175.21170.54130.41126.46126.14139.2399.7490.4392.5976.8475.411. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00489, N = 3SE +/- 0.00854, N = 3SE +/- 0.00358, N = 3SE +/- 0.00992, N = 3SE +/- 0.01260, N = 3SE +/- 0.00304, N = 3SE +/- 0.00205, N = 3SE +/- 0.00439, N = 3SE +/- 0.00395, N = 3SE +/- 0.00044, N = 3SE +/- 0.00545, N = 3SE +/- 0.00201, N = 3SE +/- 0.00369, N = 3SE +/- 0.00388, N = 3SE +/- 0.00364, N = 3SE +/- 0.00225, N = 3SE +/- 0.00473, N = 3SE +/- 0.00561, N = 33.081864.189664.363786.690989.633863.428913.588703.108233.201404.533784.782854.358334.232106.125126.918136.548199.189328.69155

Java JMH

This very basic test profile runs the stock benchmark of the Java JMH benchmark via Maven. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20000M40000M60000M80000M100000M17666508143.5530687178999.1836809450548.6251266949678.1580500396106.4728623768615.2427489634774.2526927010708.2327809283196.2038875182524.8339729127568.6035580241573.9834401257374.1454540585452.6256669628391.7052478665956.8278444159112.4668371256990.99

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D100200300400500SE +/- 3.82, N = 3SE +/- 3.31, N = 3SE +/- 1.36, N = 3SE +/- 4.57, N = 3SE +/- 3.10, N = 3SE +/- 4.02, N = 3SE +/- 2.69, N = 3SE +/- 5.40, N = 3SE +/- 4.54, N = 3SE +/- 1.00, N = 3SE +/- 3.34, N = 3SE +/- 0.58, N = 3SE +/- 2.79, N = 3SE +/- 0.90, N = 3SE +/- 1.16, N = 3SE +/- 5.45, N = 5SE +/- 2.55, N = 3SE +/- 5.03, N = 3447.21311.33283.98244.45225.01283.63289.10288.92285.17256.71250.47256.79262.45241.47238.91231.84235.02233.19MAX: 28312.3MAX: 27288MAX: 27976.11MAX: 27697.62MAX: 26849.04MAX: 27510.5MAX: 26954.05MAX: 27202.04MAX: 26949.15MAX: 26916.29MAX: 27820.07MAX: 27003.83MAX: 26976.99MAX: 26941.92MAX: 26837.19MAX: 26972.9MAX: 26740.41MAX: 27612.44

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D15M30M45M60M75MSE +/- 213434.05, N = 3SE +/- 425645.32, N = 3SE +/- 392499.59, N = 3SE +/- 505256.95, N = 3SE +/- 384174.37, N = 3SE +/- 773670.85, N = 3SE +/- 564090.85, N = 3SE +/- 596085.82, N = 3SE +/- 624287.82, N = 3SE +/- 334104.85, N = 3SE +/- 336865.02, N = 3SE +/- 131946.71, N = 3SE +/- 325638.55, N = 3SE +/- 61190.61, N = 3SE +/- 201167.30, N = 3SE +/- 771885.04, N = 5SE +/- 244618.28, N = 3SE +/- 767232.09, N = 3351341444722865955137316653685007172843455153469527975665290385254077240621899606322210462503330602637226663415467730025690511256892853169385919

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 3 - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 3SE +/- 0.010, N = 3SE +/- 0.019, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.011, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 31.8772.5882.8514.0705.1883.5223.4913.2363.3244.2784.5424.1813.7825.2025.7905.4716.7916.1941. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70K140K210K280K350KSE +/- 84.43, N = 3SE +/- 266.85, N = 3SE +/- 596.97, N = 3SE +/- 1036.54, N = 3SE +/- 318.51, N = 3SE +/- 150.43, N = 3SE +/- 209.12, N = 3SE +/- 97.74, N = 3SE +/- 405.79, N = 3SE +/- 132.37, N = 3SE +/- 243.47, N = 3SE +/- 208.81, N = 3SE +/- 186.90, N = 3SE +/- 161.91, N = 3SE +/- 139.11, N = 3SE +/- 475.71, N = 3SE +/- 33.51, N = 3SE +/- 172.31, N = 33155602139971983821239768654218811017844620542819966014064813438914041715344010295490286954096831772562

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70K140K210K280K350KSE +/- 181.00, N = 3SE +/- 2052.21, N = 3SE +/- 440.18, N = 3SE +/- 203.77, N = 3SE +/- 170.39, N = 3SE +/- 21.17, N = 3SE +/- 311.77, N = 3SE +/- 131.20, N = 3SE +/- 160.63, N = 3SE +/- 64.43, N = 3SE +/- 177.53, N = 3SE +/- 193.51, N = 3SE +/- 193.22, N = 3SE +/- 181.20, N = 3SE +/- 34.71, N = 3SE +/- 223.84, N = 3SE +/- 135.44, N = 3SE +/- 85.99, N = 33122352092671961121241468494418634517648620327319707013934813242313932215173910247089596938496757270438

Whisper.cpp

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.6.2Model: ggml-base.en - Input: 2016 State of the UnionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.20, N = 3SE +/- 1.47, N = 3SE +/- 0.53, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3198.59337.26275.43216.64157.82131.60213.49137.09132.65105.31100.14106.66175.6994.19121.6791.6680.18108.98-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni-mavx512f -mavx512cd -mavx512vl -mavx512dq -mavx512bw -mavx512vbmi -mavx512vnni1. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread -msse3 -mssse3 -mavx -mf16c -mfma -mavx2

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3143.23142.51125.33128.40125.36158.39160.94154.12153.22158.47157.78157.29153.42156.89156.93157.73157.95157.751. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/pathtracer/real_timeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.45, N = 3SE +/- 0.93, N = 3SE +/- 0.03, N = 3SE +/- 0.61, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 1.98, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.68, N = 3SE +/- 0.42, N = 3SE +/- 0.76, N = 3SE +/- 0.50, N = 3101.70118.75121.14147.34187.07135.88141.84115.05119.96163.67164.90150.18138.38189.05197.85184.86217.69206.80

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.70, N = 3SE +/- 3.72, N = 3SE +/- 1.00, N = 3SE +/- 0.24, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 3SE +/- 0.28, N = 3SE +/- 0.42, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.26, N = 3260.27303.03264.83167.13110.62155.65147.68188.16183.50123.19118.84115.45152.3688.5377.3281.8862.4264.91

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.50, N = 3SE +/- 0.47, N = 3SE +/- 1.00, N = 3SE +/- 0.95, N = 3SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.47, N = 3SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.47, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3323.64206.95182.86117.7577.98183.44174.82195.32190.02138.77132.73135.61147.79103.2690.0392.1768.0769.52

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: PlatformCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 342.5645.7847.7355.5265.8061.4062.1355.8158.0466.5368.4362.5359.4368.2270.2766.2374.8168.921. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Video On DemandCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 342.5845.9047.6455.5565.8361.4662.1755.8958.0566.4868.4462.5159.3868.2570.2866.1674.8468.951. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.44, N = 3SE +/- 0.50, N = 3SE +/- 0.88, N = 3SE +/- 0.25, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 3SE +/- 0.55, N = 3SE +/- 0.27, N = 3SE +/- 0.56, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 3SE +/- 0.61, N = 3SE +/- 0.26, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3314.08207.38183.90115.5077.62171.54161.51186.67182.37132.29123.02130.13141.16100.4783.4687.7862.5565.84

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: UploadCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 320.0322.6324.0127.6932.7229.6429.9026.9528.0432.4633.5130.4028.9933.4734.5032.6036.7633.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.0990.1980.2970.3960.495SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.110.160.180.270.380.170.180.170.170.230.240.220.220.300.340.320.440.42

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Water-layered HalfspaceCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.75, N = 3SE +/- 1.28, N = 3SE +/- 1.42, N = 3SE +/- 0.16, N = 3SE +/- 0.93, N = 3SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 0.28, N = 3SE +/- 0.27, N = 3SE +/- 0.60, N = 3SE +/- 0.73, N = 3SE +/- 0.36, N = 3SE +/- 0.56, N = 3SE +/- 0.84, N = 3SE +/- 0.16, N = 3SE +/- 0.88, N = 3SE +/- 0.61, N = 3SE +/- 0.45, N = 3223.86209.93172.78129.5085.06151.94145.62161.18158.37125.80121.28113.27134.2797.6489.1887.6476.0372.521. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.18450.3690.55350.7380.9225SE +/- 0.00011, N = 3SE +/- 0.00037, N = 3SE +/- 0.00034, N = 3SE +/- 0.00070, N = 3SE +/- 0.00142, N = 3SE +/- 0.00029, N = 3SE +/- 0.00437, N = 3SE +/- 0.00004, N = 3SE +/- 0.00006, N = 3SE +/- 0.00042, N = 3SE +/- 0.00011, N = 3SE +/- 0.00024, N = 3SE +/- 0.00012, N = 3SE +/- 0.00009, N = 3SE +/- 0.00097, N = 3SE +/- 0.00085, N = 3SE +/- 0.00048, N = 3SE +/- 0.00017, N = 30.114130.137300.207690.301380.442640.397150.412770.374440.381750.492460.523610.497200.468870.613470.703350.664290.820170.80974

DuckDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 1.0Benchmark: TPC-H ParquetCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.33, N = 3SE +/- 0.30, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.52, N = 3SE +/- 0.48, N = 3SE +/- 0.06, N = 3SE +/- 0.90, N = 3123.09114.9799.8193.5282.51103.4299.82111.02105.0496.2893.31101.70103.9594.0091.9396.2490.2892.571. (CXX) g++ options: -O3 -ldl

Perl Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.01690.03380.05070.06760.0845SE +/- 0.00019724, N = 3SE +/- 0.00218182, N = 12SE +/- 0.00008439, N = 3SE +/- 0.00057068, N = 3SE +/- 0.00010851, N = 3SE +/- 0.00123307, N = 13SE +/- 0.00024209, N = 3SE +/- 0.00030558, N = 3SE +/- 0.00029666, N = 3SE +/- 0.00046050, N = 3SE +/- 0.00016252, N = 3SE +/- 0.00016063, N = 3SE +/- 0.00013333, N = 3SE +/- 0.00075546, N = 15SE +/- 0.00026359, N = 3SE +/- 0.00153695, N = 15SE +/- 0.00037718, N = 3SE +/- 0.00194056, N = 150.069087350.074982830.064021330.061162740.054128710.066408850.061443560.071586030.068062910.063088440.061022840.069691210.068069430.063432850.061606960.065075660.060895450.06837483

DuckDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 1.0Benchmark: IMDBCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.26, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3138.70109.43101.3485.1476.00105.16107.46115.30111.1292.5990.0196.36104.5784.8881.0385.5276.8179.831. (CXX) g++ options: -O3 -ldl

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.01, N = 3SE +/- 0.13, N = 15SE +/- 0.00, N = 3SE +/- 0.10, N = 12SE +/- 0.18, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 7SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 4SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 15SE +/- 0.05, N = 3SE +/- 0.02, N = 36.736.077.187.117.639.199.708.378.929.499.878.789.069.679.929.709.679.001. (CXX) g++ options: -O3

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 1.02, N = 3SE +/- 1.19, N = 3SE +/- 1.71, N = 3SE +/- 5.75, N = 3SE +/- 2.93, N = 3SE +/- 3.56, N = 3SE +/- 2.26, N = 3SE +/- 3.14, N = 3SE +/- 0.94, N = 3SE +/- 4.70, N = 3SE +/- 3.28, N = 3SE +/- 2.49, N = 3SE +/- 1.69, N = 3SE +/- 1.35, N = 3SE +/- 10.07, N = 3SE +/- 6.78, N = 15SE +/- 1.16, N = 3SE +/- 0.95, N = 3550.56573.04611.61651.96778.63737.80782.66656.04692.10768.49793.30724.33695.67781.58771.70775.97780.26751.10

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00367, N = 3SE +/- 0.00502, N = 3SE +/- 0.00966, N = 3SE +/- 0.01469, N = 3SE +/- 0.01651, N = 3SE +/- 0.00157, N = 3SE +/- 0.00135, N = 3SE +/- 0.00084, N = 3SE +/- 0.00060, N = 3SE +/- 0.00212, N = 3SE +/- 0.00338, N = 3SE +/- 0.00357, N = 3SE +/- 0.00377, N = 3SE +/- 0.00935, N = 3SE +/- 0.00778, N = 3SE +/- 0.00201, N = 3SE +/- 0.00567, N = 3SE +/- 0.00429, N = 33.109254.233324.376676.750309.638943.442033.600943.118023.209474.545314.802524.361324.238696.178556.919426.599239.205148.71012

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.02152.0433.06454.0865.1075SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 30.611.141.332.273.611.441.571.291.362.062.182.101.862.763.233.144.544.39MIN: 0.12 / MAX: 0.89MIN: 0.27 / MAX: 1.48MIN: 0.34 / MAX: 1.69MIN: 0.75 / MAX: 2.66MIN: 1.43 / MAX: 4.1MIN: 0.39 / MAX: 1.8MIN: 0.43 / MAX: 1.94MIN: 0.33 / MAX: 1.65MIN: 0.34 / MAX: 1.75MIN: 0.65 / MAX: 2.46MIN: 0.69 / MAX: 2.62MIN: 0.64 / MAX: 2.53MIN: 0.55 / MAX: 2.28MIN: 0.98 / MAX: 3.23MIN: 1.23 / MAX: 3.73MIN: 1.18 / MAX: 3.64MIN: 1.96 / MAX: 5.11MIN: 1.87 / MAX: 4.96

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 i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.029557, N = 15SE +/- 0.020052, N = 3SE +/- 0.016137, N = 3SE +/- 0.010373, N = 3SE +/- 0.028892, N = 3SE +/- 0.042842, N = 3SE +/- 0.023906, N = 3SE +/- 0.023535, N = 3SE +/- 0.027880, N = 15SE +/- 0.071248, N = 3SE +/- 0.054098, N = 3SE +/- 0.074084, N = 4SE +/- 0.029270, N = 15SE +/- 0.065950, N = 3SE +/- 0.056268, N = 15SE +/- 0.064230, N = 15SE +/- 0.045998, N = 3SE +/- 0.042557, N = 32.0545542.8926572.8628564.0157086.9392154.0079883.9960473.3083053.2938015.5102335.5063256.1116173.8138297.6803998.2529247.96264611.19840810.4629921. (CC) gcc options: -O3 -march=native -fopenmp

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.60, N = 3SE +/- 1.36, N = 12SE +/- 1.45, N = 3SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.49, N = 3SE +/- 0.14, N = 3SE +/- 0.68, N = 3SE +/- 0.39, N = 3SE +/- 0.50, N = 5130.50160.24138.6196.6762.8194.2490.86101.4298.8975.1272.4571.1780.1964.0258.6556.3151.1846.54

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_sslCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 1.00, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 3.84, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 0.00, N = 3SE +/- 1.67, N = 3SE +/- 1.20, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 1.45, N = 3SE +/- 1.20, N = 3SE +/- 2.85, N = 3SE +/- 3.21, N = 3SE +/- 2.08, N = 3916949870813690646620727690636614589684633609582615584

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.11, N = 3SE +/- 0.26, N = 3SE +/- 1.04, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.29, N = 3SE +/- 0.25, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.47, N = 3SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3237.80156.34136.1195.3069.12136.47138.16145.32140.29111.13105.17117.15121.6991.6083.6488.7167.7974.771. (CXX) g++ options: -O3 -fPIC -lm

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.003, N = 3SE +/- 0.014, N = 3SE +/- 0.019, N = 3SE +/- 0.030, N = 3SE +/- 0.019, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.013, N = 3SE +/- 0.017, N = 3SE +/- 0.017, N = 3SE +/- 0.020, N = 3SE +/- 0.007, N = 3SE +/- 0.030, N = 3SE +/- 0.030, N = 3SE +/- 0.034, N = 3SE +/- 0.049, N = 3SE +/- 0.031, N = 32.8613.9914.4046.3187.7904.6094.5164.2754.3995.5735.8955.3744.9506.5457.2046.9068.3607.7131. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.05, N = 3SE +/- 0.16, N = 7SE +/- 0.17, N = 10SE +/- 0.08, N = 3SE +/- 0.29, N = 3SE +/- 0.16, N = 3SE +/- 1.58, N = 15SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.46, N = 3SE +/- 0.67, N = 3SE +/- 0.25, N = 3SE +/- 1.51, N = 15SE +/- 0.36, N = 3SE +/- 1.00, N = 12SE +/- 0.25, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 320.3818.2022.6729.0942.5535.5025.0531.1432.2245.9647.1745.3131.6142.6434.2843.2750.6238.44MIN: 19.1 / MAX: 21.24MIN: 17.35 / MAX: 19.51MIN: 20.23 / MAX: 25.88MIN: 25.01 / MAX: 29.31MIN: 11.69 / MAX: 43.54MIN: 28.95 / MAX: 36.04MIN: 19.1 / MAX: 33.14MIN: 29.55 / MAX: 31.6MIN: 26.05 / MAX: 32.57MIN: 34.5 / MAX: 47.23MIN: 30.15 / MAX: 48.24MIN: 41.52 / MAX: 48.34MIN: 24.24 / MAX: 37.99MIN: 40.85 / MAX: 44.08MIN: 31.49 / MAX: 45.33MIN: 35.61 / MAX: 44.15MIN: 49.04 / MAX: 52.37MIN: 37.44 / MAX: 39.43

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_ioCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D160320480640800SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 0.00, N = 3SE +/- 1.15, N = 3SE +/- 5.29, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 0.58, N = 3SE +/- 8.33, N = 3SE +/- 7.88, N = 3SE +/- 0.88, N = 3SE +/- 4.84, N = 3653640596605517702679760730685673547729688688614683590

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 9.0Test: Read While WritingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1000K2000K3000K4000K5000KSE +/- 6927.73, N = 3SE +/- 33048.88, N = 15SE +/- 56642.51, N = 12SE +/- 47342.14, N = 15SE +/- 75274.87, N = 15SE +/- 2651.46, N = 3SE +/- 17603.44, N = 3SE +/- 12414.13, N = 3SE +/- 4920.90, N = 3SE +/- 23188.42, N = 3SE +/- 16029.79, N = 3SE +/- 1493.97, N = 3SE +/- 30089.94, N = 3SE +/- 25124.89, N = 3SE +/- 15083.78, N = 3SE +/- 16890.35, N = 3SE +/- 50461.54, N = 3SE +/- 62430.50, N = 3939682175830020832272787765427990218665421780989172085517269522485579260085425323702197201315842932231933292374453211145637631. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.56, N = 3SE +/- 0.51, N = 3SE +/- 0.80, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3SE +/- 0.19, N = 3SE +/- 0.40, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3234.66153.00132.3584.5855.93138.57131.15151.31146.87106.1398.99106.19113.3279.9766.7870.7050.1652.76

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350324.79216.72196.37129.2090.24209.14199.04222.21216.07159.08149.96161.71167.03121.28103.76109.5577.8482.89

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etreeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.00, N = 3SE +/- 0.31, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 333.535.431.329.726.436.734.638.936.535.034.438.436.835.335.036.434.835.2

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5001000150020002500SE +/- 0.49, N = 3SE +/- 13.13, N = 3SE +/- 0.97, N = 3SE +/- 6.01, N = 3SE +/- 0.76, N = 3SE +/- 6.05, N = 3SE +/- 3.47, N = 3SE +/- 1.64, N = 3SE +/- 6.16, N = 3SE +/- 2.69, N = 3SE +/- 4.83, N = 3SE +/- 5.60, N = 3SE +/- 1.86, N = 3SE +/- 0.67, N = 3SE +/- 25.26, N = 3SE +/- 15.00, N = 12SE +/- 4.48, N = 15SE +/- 3.17, N = 131664.51609.71795.01934.32168.01890.91978.71716.41824.01956.31985.11806.81852.11982.31952.11987.21970.02039.01. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 12SE +/- 0.11, N = 15SE +/- 0.23, N = 138.338.809.5010.2011.7011.0011.509.8210.3011.3011.6013.6010.3012.4013.5013.4013.1014.001. (CC) gcc options: -O3 -pthread -lz -llzma

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350323.29218.31197.89133.7494.10189.82181.49205.95201.04146.64138.40149.28155.39127.35113.61118.9492.6996.30

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D15K30K45K60K75KSE +/- 33.45, N = 3SE +/- 76.57, N = 3SE +/- 59.85, N = 3SE +/- 41.23, N = 3SE +/- 202.16, N = 3SE +/- 111.87, N = 3SE +/- 29.14, N = 3SE +/- 24.14, N = 3SE +/- 47.43, N = 3SE +/- 114.90, N = 3SE +/- 136.89, N = 3SE +/- 26.81, N = 3SE +/- 87.72, N = 3SE +/- 23.87, N = 3SE +/- 303.29, N = 3SE +/- 92.68, N = 3SE +/- 157.25, N = 3SE +/- 97.78, N = 330490.642243.046788.460340.470273.046126.944261.841162.542129.054984.056204.356408.347612.859125.360434.860932.369148.968654.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 34.89, N = 3SE +/- 130.32, N = 3SE +/- 370.93, N = 3SE +/- 64.12, N = 3SE +/- 212.93, N = 3SE +/- 186.41, N = 3SE +/- 9.38, N = 3SE +/- 17.63, N = 3SE +/- 108.98, N = 3SE +/- 117.21, N = 3SE +/- 94.66, N = 3SE +/- 58.89, N = 3SE +/- 272.71, N = 3SE +/- 43.79, N = 3SE +/- 137.86, N = 3SE +/- 128.05, N = 3SE +/- 343.74, N = 3SE +/- 81.99, N = 332323.545283.150447.669270.184621.750075.247745.544411.845898.260333.462561.562064.451871.866013.967281.868093.079302.778316.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KSE +/- 21.85, N = 3SE +/- 115.39, N = 3SE +/- 318.56, N = 3SE +/- 224.49, N = 3SE +/- 141.39, N = 3SE +/- 249.28, N = 3SE +/- 75.14, N = 3SE +/- 190.74, N = 3SE +/- 304.87, N = 3SE +/- 235.48, N = 3SE +/- 225.05, N = 3SE +/- 111.54, N = 3SE +/- 51.52, N = 3SE +/- 151.88, N = 3SE +/- 151.05, N = 3SE +/- 147.83, N = 3SE +/- 860.94, N = 3SE +/- 205.04, N = 341766.361046.967435.9110934.2158026.264600.961725.356469.658366.283649.187099.883760.869386.094302.598444.499762.0129993.2125291.3

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 4K - Video Preset: SlowCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.593.974.376.8210.174.854.744.514.636.206.645.965.507.798.998.5112.7611.35

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareCore i3 14100Core i5 14400FCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.6461.2921.9382.5843.23SE +/- 0.009, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 30.9220.9781.1001.3011.3541.2411.2721.5831.6471.8891.4952.2142.3922.4332.7312.8711. (CXX) g++ options: -O3 -lm

Implementation: MPI CPU - Input: water_GMX50_bare

Core i5 14500: The test quit with a non-zero exit status. E: Fatal error:

Core i5 14600K: The test quit with a non-zero exit status. E: Fatal error:

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 15SE +/- 0.03, N = 3SE +/- 0.01, N = 34.274.294.584.805.275.715.995.285.625.926.055.535.645.985.775.785.975.661. (CXX) g++ options: -O3

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.49, N = 3SE +/- 0.10, N = 3SE +/- 0.63, N = 3SE +/- 0.33, N = 3SE +/- 0.34, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.46, N = 3SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.63, N = 15SE +/- 0.37, N = 3SE +/- 0.77, N = 764.9363.7859.8255.8949.7786.7386.7495.5889.0683.1783.8489.8490.8683.6985.3384.6279.7585.69

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: RotateCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80160240320400SE +/- 2.42, N = 15SE +/- 4.41, N = 15SE +/- 3.60, N = 15SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 1.68, N = 4SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 1.89, N = 5SE +/- 2.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 32702492873213541611701351421661711591421691711711701661. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.58, N = 3SE +/- 0.28, N = 3SE +/- 0.16, N = 3SE +/- 0.96, N = 3SE +/- 0.58, N = 4SE +/- 0.43, N = 3SE +/- 0.35, N = 3SE +/- 0.49, N = 3SE +/- 0.53, N = 3SE +/- 0.33, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 0.49, N = 3SE +/- 0.37, N = 3SE +/- 0.30, N = 3SE +/- 0.41, N = 3SE +/- 0.33, N = 3SE +/- 0.34, N = 3206.28132.87117.3979.8654.85128.04120.38137.41133.41100.3095.4799.65107.9077.3967.6871.0054.5356.15

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 9.0Test: Random ReadCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30M60M90M120M150MSE +/- 566942.62, N = 15SE +/- 292748.41, N = 3SE +/- 896667.28, N = 3SE +/- 1018642.86, N = 15SE +/- 1102791.29, N = 15SE +/- 89875.09, N = 3SE +/- 41777.41, N = 3SE +/- 117968.19, N = 3SE +/- 33027.17, N = 3SE +/- 183729.53, N = 3SE +/- 128245.32, N = 3SE +/- 791857.51, N = 3SE +/- 121639.18, N = 3SE +/- 111734.55, N = 3SE +/- 146010.43, N = 3SE +/- 63308.88, N = 3SE +/- 454859.07, N = 3SE +/- 229383.82, N = 326640120507841116247701592234872139804499515660305016622148732864500846056714263170764061654914986116770789211036100634779994568971390188621326649471. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.84391.68782.53173.37564.2195SE +/- 0.000636, N = 3SE +/- 0.005363, N = 3SE +/- 0.008505, N = 3SE +/- 0.005959, N = 3SE +/- 0.001293, N = 3SE +/- 0.002955, N = 3SE +/- 0.001790, N = 3SE +/- 0.003806, N = 3SE +/- 0.001386, N = 3SE +/- 0.001653, N = 3SE +/- 0.005397, N = 3SE +/- 0.004076, N = 3SE +/- 0.003944, N = 3SE +/- 0.004914, N = 3SE +/- 0.004268, N = 3SE +/- 0.012766, N = 3SE +/- 0.027710, N = 11SE +/- 0.032286, N = 71.0727991.4828441.8068022.4174662.6969641.4992471.5643541.2901301.3441152.1242192.2106652.0509281.9053362.5448782.8103122.5715783.7507713.5708971. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00, N = 3SE +/- 0.14, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 36.665.967.007.078.009.5210.068.699.249.9010.208.989.4010.0410.289.9810.159.391. (CXX) g++ options: -O3

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-50Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.40, N = 3SE +/- 0.21, N = 3SE +/- 1.53, N = 15SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.34, N = 3SE +/- 0.18, N = 3SE +/- 1.39, N = 15SE +/- 0.22, N = 3SE +/- 1.28, N = 15SE +/- 0.16, N = 3SE +/- 0.35, N = 3SE +/- 0.24, N = 320.3117.9922.8929.0542.6436.0326.4630.9532.5345.0247.3145.5529.3742.3736.4043.1050.7438.88MIN: 15.73 / MAX: 21.25MIN: 17.04 / MAX: 18.6MIN: 22.15 / MAX: 26.35MIN: 28.66 / MAX: 29.18MIN: 11.67 / MAX: 43.63MIN: 28.14 / MAX: 36.59MIN: 19.12 / MAX: 33MIN: 30.13 / MAX: 31.41MIN: 31.49 / MAX: 32.88MIN: 36.93 / MAX: 45.91MIN: 35.19 / MAX: 48.28MIN: 28.85 / MAX: 48.36MIN: 24.28 / MAX: 38.08MIN: 30.8 / MAX: 43.7MIN: 31.83 / MAX: 45.77MIN: 35.38 / MAX: 44.1MIN: 37.37 / MAX: 52.08MIN: 36.85 / MAX: 39.84

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.50, N = 3SE +/- 0.63, N = 3SE +/- 0.04, N = 3SE +/- 0.94, N = 3SE +/- 0.51, N = 3SE +/- 0.19, N = 3SE +/- 0.34, N = 3SE +/- 0.73, N = 3SE +/- 0.24, N = 3SE +/- 0.69, N = 13SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.29, N = 3SE +/- 0.67, N = 3SE +/- 0.18, N = 391.2086.6077.5272.9762.0981.8278.9899.5396.3679.9377.2373.5995.8674.8576.1073.9973.7679.251. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

Selenium

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60120180240300SE +/- 1.83, N = 3SE +/- 0.76, N = 3SE +/- 1.68, N = 3SE +/- 3.20, N = 3SE +/- 2.10, N = 3SE +/- 2.39, N = 3SE +/- 2.82, N = 3SE +/- 0.42, N = 3SE +/- 0.51, N = 3SE +/- 1.86, N = 3SE +/- 0.48, N = 3SE +/- 1.37, N = 3SE +/- 0.81, N = 3SE +/- 2.21, N = 3SE +/- 0.42, N = 3SE +/- 0.72, N = 3SE +/- 1.18, N = 3SE +/- 3.41, N = 3223.24224.63235.95255.20283.18245.58257.12222.48235.28251.95258.76237.76240.69254.51255.19241.75254.81245.191. firefox 126.0.1

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.77321.54642.31963.09283.866SE +/- 0.000342, N = 3SE +/- 0.001041, N = 3SE +/- 0.005547, N = 3SE +/- 0.012631, N = 3SE +/- 0.001741, N = 3SE +/- 0.002326, N = 3SE +/- 0.000871, N = 3SE +/- 0.001414, N = 3SE +/- 0.001160, N = 3SE +/- 0.003354, N = 3SE +/- 0.002865, N = 3SE +/- 0.003909, N = 3SE +/- 0.004192, N = 3SE +/- 0.004684, N = 3SE +/- 0.004236, N = 3SE +/- 0.003971, N = 3SE +/- 0.035575, N = 5SE +/- 0.006552, N = 30.9741771.3367071.5749852.1983682.4797761.4547571.5106681.2521561.2914442.0287152.1140461.9574931.8056282.4253842.6051962.3875963.4365073.1671671. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 4K - Video Preset: MediumCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.884.404.867.6011.275.405.285.035.156.907.406.636.138.639.979.4414.1212.60

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D11K22K33K44K55KSE +/- 44.89, N = 3SE +/- 136.48, N = 3SE +/- 165.57, N = 3SE +/- 33.94, N = 3SE +/- 65.70, N = 3SE +/- 27.66, N = 3SE +/- 20.83, N = 3SE +/- 31.19, N = 3SE +/- 13.16, N = 3SE +/- 24.98, N = 3SE +/- 7.44, N = 3SE +/- 10.88, N = 3SE +/- 24.65, N = 3SE +/- 174.45, N = 3SE +/- 51.49, N = 3SE +/- 71.23, N = 3SE +/- 15.87, N = 3SE +/- 72.99, N = 327059.8826162.5632510.4134349.9452276.2323418.3025217.6224769.7525653.9424849.9525189.6624524.7625513.4340917.0141571.0244296.6250089.2253509.371. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 28.79, N = 3SE +/- 10.87, N = 3SE +/- 2.08, N = 3SE +/- 7.67, N = 3SE +/- 7.62, N = 3SE +/- 56.07, N = 3SE +/- 77.51, N = 3SE +/- 34.67, N = 3SE +/- 17.68, N = 3SE +/- 15.60, N = 3SE +/- 19.97, N = 3SE +/- 23.64, N = 3SE +/- 25.67, N = 3SE +/- 0.88, N = 3SE +/- 69.50, N = 3SE +/- 168.82, N = 15SE +/- 18.11, N = 3SE +/- 271.20, N = 1554499109452949524990103861061892599357104111091712555975510608111001142610707119931. (CC) gcc options: -lSDL2 -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5001000150020002500SE +/- 1.18, N = 3SE +/- 4.89, N = 10SE +/- 7.04, N = 3SE +/- 4.81, N = 3SE +/- 2.03, N = 3SE +/- 2.46, N = 4SE +/- 7.01, N = 3SE +/- 0.91, N = 3SE +/- 1.72, N = 3SE +/- 4.02, N = 3SE +/- 1.92, N = 3SE +/- 1.58, N = 3SE +/- 1.34, N = 3SE +/- 4.79, N = 3SE +/- 5.12, N = 3SE +/- 16.90, N = 15SE +/- 15.94, N = 3SE +/- 32.29, N = 31720.51665.41853.82025.42248.81985.32087.91794.81908.72058.22088.21926.11933.02086.12082.22090.82079.12109.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.00, N = 3SE +/- 0.11, N = 10SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.22, N = 4SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.41, N = 15SE +/- 0.09, N = 3SE +/- 0.37, N = 313.515.016.618.720.919.419.917.418.019.820.123.818.422.823.024.723.026.21. (CC) gcc options: -O3 -pthread -lz -llzma

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 773.18, N = 4SE +/- 484.41, N = 3SE +/- 816.49, N = 3SE +/- 1156.12, N = 3SE +/- 492.01, N = 3SE +/- 223.30, N = 3SE +/- 153.71, N = 3SE +/- 135.48, N = 3SE +/- 118.90, N = 3SE +/- 6.22, N = 3SE +/- 39.09, N = 3SE +/- 152.38, N = 3SE +/- 123.39, N = 3SE +/- 405.01, N = 3SE +/- 365.07, N = 3SE +/- 256.49, N = 3SE +/- 541.38, N = 3SE +/- 547.92, N = 363412.0587911.4498053.73150149.16197001.7972809.0770941.1465945.9367529.8393132.2997489.8897434.4282737.12112523.91122871.93118549.17148727.98147186.871. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350338.00343.03263.05224.67153.66282.34274.29318.64317.62253.60254.37172.35299.09176.32174.54140.90162.80125.391. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D112233445544.2949.7643.0133.5527.1938.3135.6140.7541.5532.0630.5829.9936.1128.6826.6326.0924.1524.781. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 220.83, N = 3SE +/- 183.08, N = 3SE +/- 719.62, N = 3SE +/- 243.48, N = 3SE +/- 212.56, N = 3SE +/- 6.35, N = 3SE +/- 46.26, N = 3SE +/- 66.00, N = 3SE +/- 94.51, N = 3SE +/- 51.11, N = 3SE +/- 49.06, N = 3SE +/- 115.03, N = 3SE +/- 112.07, N = 3SE +/- 163.91, N = 3SE +/- 35.39, N = 3SE +/- 42.95, N = 3SE +/- 654.86, N = 3SE +/- 400.86, N = 344454.6671134.7279162.47123069.44178076.8169171.1867147.4161443.6662245.5288638.8393320.9593500.9577202.02113213.91126881.07124497.13157947.73160717.78-std=c99 -O2-std=c99 -O2-std=c99 -O2-std=c99 -O2-std=c99 -O21. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 207.74, N = 3SE +/- 477.73, N = 3SE +/- 711.11, N = 3SE +/- 254.73, N = 3SE +/- 806.17, N = 3SE +/- 105.38, N = 3SE +/- 40.86, N = 3SE +/- 72.75, N = 3SE +/- 91.97, N = 3SE +/- 22.93, N = 3SE +/- 45.90, N = 3SE +/- 15.84, N = 3SE +/- 22.86, N = 3SE +/- 71.22, N = 3SE +/- 109.20, N = 3SE +/- 74.01, N = 3SE +/- 133.67, N = 3SE +/- 97.96, N = 346272.2672893.5480614.03128963.56184816.7871928.9269755.6664931.4765998.5593087.7298683.2095328.1783264.84117370.00135846.30126604.25174969.21165662.13-std=c99 -O2-std=c99 -O2-std=c99 -O2-std=c99 -O2-std=c99 -O21. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 500Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 243.68, N = 3SE +/- 615.59, N = 3SE +/- 1065.19, N = 3SE +/- 908.23, N = 3SE +/- 1781.62, N = 3SE +/- 86.41, N = 3SE +/- 171.54, N = 3SE +/- 275.87, N = 3SE +/- 102.95, N = 3SE +/- 119.54, N = 3SE +/- 71.08, N = 3SE +/- 109.28, N = 3SE +/- 99.37, N = 3SE +/- 125.95, N = 3SE +/- 221.44, N = 3SE +/- 189.16, N = 3SE +/- 196.05, N = 3SE +/- 620.27, N = 369974.4399385.75105806.23161978.89197477.5379655.7379285.2071960.9773453.39101420.06107318.10102505.4791354.05113095.53124228.55119763.30149544.39145568.991. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 34.506.196.889.5612.057.477.386.756.949.7210.339.728.3111.0212.0611.6314.0412.951. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.34622.69244.03865.38486.731SE +/- 0.01555, N = 3SE +/- 0.05221, N = 3SE +/- 0.04415, N = 3SE +/- 0.01244, N = 3SE +/- 0.00588, N = 3SE +/- 0.00579, N = 3SE +/- 0.03791, N = 3SE +/- 0.01289, N = 3SE +/- 0.00135, N = 3SE +/- 0.00514, N = 3SE +/- 0.00223, N = 3SE +/- 0.00196, N = 3SE +/- 0.05748, N = 3SE +/- 0.00544, N = 3SE +/- 0.22003, N = 15SE +/- 0.00157, N = 3SE +/- 0.00221, N = 3SE +/- 0.22371, N = 155.848605.739545.584644.182733.142683.153485.899163.465033.372252.702812.565522.729525.983132.770564.585662.780322.389384.273171. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.46, N = 3SE +/- 1.60, N = 3SE +/- 1.43, N = 3SE +/- 0.71, N = 3SE +/- 0.60, N = 3SE +/- 0.59, N = 3SE +/- 1.08, N = 3SE +/- 1.07, N = 3SE +/- 0.12, N = 3SE +/- 0.71, N = 3SE +/- 0.34, N = 3SE +/- 0.26, N = 3SE +/- 1.63, N = 3SE +/- 0.71, N = 3SE +/- 14.81, N = 15SE +/- 0.20, N = 3SE +/- 0.38, N = 3SE +/- 15.78, N = 15170.95174.24179.05239.04318.15317.03169.50288.51296.44369.88389.66366.33167.09360.85227.88359.63418.42245.391. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Perl Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.0010.0020.0030.0040.005SE +/- 0.00001638, N = 3SE +/- 0.00000047, N = 3SE +/- 0.00028407, N = 15SE +/- 0.00008113, N = 15SE +/- 0.00001007, N = 3SE +/- 0.00000252, N = 3SE +/- 0.00000241, N = 3SE +/- 0.00000109, N = 3SE +/- 0.00000307, N = 3SE +/- 0.00000049, N = 3SE +/- 0.00000464, N = 3SE +/- 0.00000124, N = 3SE +/- 0.00000215, N = 3SE +/- 0.00000392, N = 3SE +/- 0.00000167, N = 3SE +/- 0.00000574, N = 3SE +/- 0.00000203, N = 3SE +/- 0.00000231, N = 30.003894470.001062040.002515340.001304890.004333430.000970180.001034940.001389680.001290040.000944800.000945960.001048460.001325230.000921740.000885730.000988750.000939270.00103926

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 2023.03.14Test: HMAC-SHA512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40M80M120M160M200MSE +/- 100093.84, N = 3SE +/- 5044.25, N = 3SE +/- 219341.69, N = 13SE +/- 60128.57, N = 3SE +/- 162136.09, N = 3SE +/- 28844.41, N = 3SE +/- 43471.00, N = 15SE +/- 56772.45, N = 3SE +/- 22835.16, N = 3SE +/- 82938.40, N = 3SE +/- 53928.97, N = 3SE +/- 37501.11, N = 3SE +/- 29546.57, N = 3SE +/- 114770.79, N = 3SE +/- 146397.10, N = 3SE +/- 119204.77, N = 3SE +/- 52447.86, N = 3SE +/- 190620.92, N = 3223103332137566730869385384446676008933389441000204693383599333865513331181193331235200001129610001103560001429130001596796671420263332016163331868080001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 1.42, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.30, N = 3SE +/- 0.05, N = 3SE +/- 1.15, N = 15SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.92, N = 1250.15191.47144.35117.35104.0331.3965.9134.1033.2726.0824.6327.1855.4026.2947.2226.6421.1041.131. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.09861, N = 3SE +/- 0.00081, N = 3SE +/- 0.06864, N = 3SE +/- 0.00399, N = 3SE +/- 0.00610, N = 3SE +/- 0.01671, N = 3SE +/- 0.00624, N = 3SE +/- 0.02701, N = 3SE +/- 0.02696, N = 3SE +/- 0.05239, N = 3SE +/- 0.03728, N = 3SE +/- 0.01749, N = 3SE +/- 0.09581, N = 3SE +/- 0.06646, N = 3SE +/- 0.57683, N = 15SE +/- 0.37451, N = 3SE +/- 0.18088, N = 3SE +/- 0.61414, N = 1219.942505.222786.928688.521499.6125731.8577015.1711029.3260030.0592038.3450040.5930036.7899018.0493038.0283021.3683037.5401047.3839024.463201. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.11832.23663.35494.47325.5915SE +/- 0.01, N = 3SE +/- 0.01, N = 10SE +/- 0.01, N = 14SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.741.271.482.483.881.671.791.511.572.312.482.292.123.093.663.494.974.73MIN: 0.17 / MAX: 0.99MIN: 0.36 / MAX: 1.6MIN: 0.45 / MAX: 1.85MIN: 0.9 / MAX: 2.9MIN: 1.71 / MAX: 4.43MIN: 0.49 / MAX: 2.04MIN: 0.55 / MAX: 2.17MIN: 0.4 / MAX: 1.88MIN: 0.44 / MAX: 1.93MIN: 0.76 / MAX: 2.75MIN: 0.86 / MAX: 2.92MIN: 0.76 / MAX: 2.72MIN: 0.69 / MAX: 2.54MIN: 1.17 / MAX: 3.58MIN: 1.5 / MAX: 4.18MIN: 1.38 / MAX: 4.01MIN: 2.21 / MAX: 5.61MIN: 2.04 / MAX: 5.36

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 36.075.786.386.566.188.028.457.397.878.328.617.588.038.468.618.108.557.801. (CXX) g++ options: -O3

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.130.190.210.300.400.190.200.180.180.260.280.250.240.320.370.340.450.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Llamafile

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.8.6Test: mistral-7b-instruct-v0.2.Q5_K_M - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 311.556.4112.578.9112.6710.979.4514.0814.0411.0211.0311.0012.0212.9812.1012.7512.7211.65

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.14, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 8SE +/- 0.03, N = 3SE +/- 0.23, N = 15SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 324.7425.3724.0319.2018.2818.3019.6120.4019.8117.0017.0717.2227.7317.9319.9217.4716.9117.621. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1326395265SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.45, N = 3SE +/- 0.39, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.31, N = 8SE +/- 0.08, N = 3SE +/- 0.57, N = 15SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.35, N = 340.4239.4141.6252.0954.7154.6350.9949.0050.4658.8258.5758.0836.0855.7650.2957.2459.1556.751. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5K10K15K20K25KSE +/- 81.10, N = 3SE +/- 49.14, N = 3SE +/- 22.98, N = 3SE +/- 6.66, N = 3SE +/- 20.42, N = 3SE +/- 16.59, N = 3SE +/- 14.33, N = 3SE +/- 10.87, N = 3SE +/- 0.58, N = 3SE +/- 8.84, N = 3SE +/- 4.73, N = 3SE +/- 21.11, N = 3SE +/- 12.06, N = 3SE +/- 4.91, N = 3SE +/- 7.57, N = 3SE +/- 20.17, N = 3SE +/- 2.08, N = 3SE +/- 3.76, N = 3227751530414361895260981347812784147651436110043957099581094972966332670347184981

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startupCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.447.9911.5011.1012.406.756.477.697.286.646.506.967.385.766.066.145.645.97

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 5.20, N = 3SE +/- 6.39, N = 3SE +/- 8.24, N = 3SE +/- 1.45, N = 3SE +/- 1.29, N = 3SE +/- 0.36, N = 3SE +/- 0.72, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.43, N = 3SE +/- 0.42, N = 3SE +/- 0.03, N = 3SE +/- 4.88, N = 3SE +/- 0.16, N = 3SE +/- 7.83, N = 4SE +/- 0.16, N = 3SE +/- 0.37, N = 3SE +/- 3.43, N = 151041.73750.65732.27496.64355.41629.191115.24671.69658.19497.60469.90464.88940.90390.76624.71358.13279.11554.531. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.80611.61222.41833.22444.0305SE +/- 0.004818, N = 3SE +/- 0.011434, N = 3SE +/- 0.015543, N = 3SE +/- 0.005903, N = 3SE +/- 0.010151, N = 3SE +/- 0.000918, N = 3SE +/- 0.000579, N = 3SE +/- 0.000381, N = 3SE +/- 0.000412, N = 3SE +/- 0.001755, N = 3SE +/- 0.001889, N = 3SE +/- 0.000161, N = 3SE +/- 0.005533, N = 3SE +/- 0.001070, N = 3SE +/- 0.019959, N = 4SE +/- 0.001234, N = 3SE +/- 0.004705, N = 3SE +/- 0.011419, N = 150.9599861.3323701.3659702.0135702.8136901.5893300.8966661.4887801.5193202.0096502.1281002.1511001.0628702.5591201.6014402.7922803.5828301.8043001. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.438.0411.7011.2012.806.786.457.747.326.666.526.997.375.786.096.155.685.99

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 1.00, N = 3SE +/- 1.12, N = 3SE +/- 0.08, N = 3SE +/- 0.77, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.65, N = 3SE +/- 0.82, N = 3SE +/- 0.09, N = 3SE +/- 0.62, N = 3SE +/- 0.16, N = 3SE +/- 0.64, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.53, N = 3SE +/- 0.62, N = 3SE +/- 0.35, N = 389.0581.1671.9672.1760.1773.1973.0382.2879.5471.8470.7764.5178.4666.5271.0061.7365.5071.731. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.43430.86861.30291.73722.1715SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.531.511.641.731.931.741.831.611.711.801.851.691.721.841.841.691.831.741. (CXX) g++ options: -O3

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 2023.03.14Test: MD5Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1000K2000K3000K4000K5000KSE +/- 4906.92, N = 3SE +/- 325.49, N = 3SE +/- 7094.56, N = 13SE +/- 333.33, N = 3SE +/- 16820.62, N = 6SE +/- 881.92, N = 3SE +/- 2006.09, N = 3SE +/- 333.33, N = 3SE +/- 577.35, N = 3SE +/- 881.92, N = 3SE +/- 3179.80, N = 3SE +/- 666.67, N = 3SE +/- 1201.85, N = 3SE +/- 2333.33, N = 3SE +/- 6245.00, N = 3SE +/- 2081.67, N = 3SE +/- 5811.87, N = 3SE +/- 2728.45, N = 3523206579652823848112033317730001688667335911158266716280002200333236133320796672094667287733334240003009000461733341636671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.68, N = 3SE +/- 0.62, N = 3SE +/- 1.24, N = 3SE +/- 0.44, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 1.72, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.46, N = 3SE +/- 0.06, N = 3SE +/- 1.58, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 2.10, N = 15152.58114.84110.5979.4958.0194.41189.56111.37109.0477.1472.6772.45175.8291.93168.2391.9280.36153.521. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02923, N = 3SE +/- 0.04698, N = 3SE +/- 0.10247, N = 3SE +/- 0.06947, N = 3SE +/- 0.04372, N = 3SE +/- 0.00692, N = 3SE +/- 0.04752, N = 3SE +/- 0.00886, N = 3SE +/- 0.00921, N = 3SE +/- 0.02717, N = 3SE +/- 0.02140, N = 3SE +/- 0.04083, N = 3SE +/- 0.01492, N = 3SE +/- 0.00672, N = 3SE +/- 0.05615, N = 3SE +/- 0.02392, N = 3SE +/- 0.03106, N = 3SE +/- 0.09184, N = 156.554178.708099.0441612.5806017.2367010.592105.276278.978889.1709012.9628013.7600013.802705.6876310.877605.9453210.8790012.444106.531191. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.29, N = 3SE +/- 0.37, N = 3SE +/- 0.91, N = 3SE +/- 0.04, N = 3SE +/- 0.32, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.63, N = 3SE +/- 0.04, N = 3SE +/- 5.30, N = 15SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.39, N = 3103.2388.2278.5954.4844.9764.88129.7570.7269.0152.3549.0354.01109.0866.52107.7666.5959.69126.541. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.02697, N = 3SE +/- 0.04780, N = 3SE +/- 0.14898, N = 3SE +/- 0.01213, N = 3SE +/- 0.15878, N = 3SE +/- 0.01370, N = 3SE +/- 0.00388, N = 3SE +/- 0.02166, N = 3SE +/- 0.00690, N = 3SE +/- 0.01427, N = 3SE +/- 0.01582, N = 3SE +/- 0.03149, N = 3SE +/- 0.05312, N = 3SE +/- 0.00830, N = 3SE +/- 0.65808, N = 15SE +/- 0.00351, N = 3SE +/- 0.03559, N = 3SE +/- 0.02471, N = 39.6866411.3351012.7276018.3563022.2392015.411507.7071614.1401014.4893019.1006020.3955018.515209.1680615.031909.7280515.0161016.752507.902461. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.13, N = 3SE +/- 0.57, N = 3SE +/- 0.33, N = 3SE +/- 0.65, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.41, N = 3SE +/- 0.55, N = 3SE +/- 0.43, N = 3SE +/- 0.81, N = 3SE +/- 0.31, N = 3SE +/- 0.72, N = 384.7982.5863.2462.8951.6383.7482.5484.1683.3379.3078.9069.2279.7069.6470.0762.0268.9260.551. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D12002400360048006000SE +/- 6.69, N = 3SE +/- 15.18, N = 3SE +/- 7.97, N = 3SE +/- 10.68, N = 3SE +/- 4.04, N = 3SE +/- 1.00, N = 3SE +/- 2.08, N = 3SE +/- 2.00, N = 3SE +/- 1.33, N = 3SE +/- 1.76, N = 3SE +/- 1.53, N = 3SE +/- 3.21, N = 3SE +/- 2.00, N = 3SE +/- 1.76, N = 3SE +/- 0.67, N = 3SE +/- 6.51, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3573939033612225015323402322437223627252624122512275718321598168811851256

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.36, N = 3SE +/- 0.35, N = 3SE +/- 0.84, N = 378.87143.5164.9862.4545.3073.93118.0778.2577.3474.2473.0740.8476.1655.8555.5458.5469.1870.031. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4K8K12K16K20KSE +/- 85.43, N = 3SE +/- 80.56, N = 3SE +/- 30.45, N = 3SE +/- 14.57, N = 3SE +/- 53.05, N = 3SE +/- 9.28, N = 3SE +/- 6.84, N = 3SE +/- 18.05, N = 3SE +/- 13.69, N = 3SE +/- 7.51, N = 3SE +/- 3.51, N = 3SE +/- 4.37, N = 3SE +/- 6.74, N = 3SE +/- 6.08, N = 3SE +/- 2.52, N = 3SE +/- 4.67, N = 3SE +/- 1.76, N = 3SE +/- 4.98, N = 31936113069122977702524711532109451259012248857681928541932962235431575140384237

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 86.64, N = 3SE +/- 101.44, N = 3SE +/- 81.22, N = 3SE +/- 64.63, N = 3SE +/- 247.43, N = 3SE +/- 44.03, N = 3SE +/- 34.51, N = 3SE +/- 5.67, N = 3SE +/- 33.62, N = 3SE +/- 52.40, N = 3SE +/- 59.77, N = 3SE +/- 5.67, N = 3SE +/- 30.35, N = 3SE +/- 53.51, N = 3SE +/- 16.67, N = 3SE +/- 11.33, N = 3SE +/- 155.97, N = 3SE +/- 140.57, N = 3105321614017855268263996117439183851621716631230722402623385214123084635560344574695245991

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4K8K12K16K20KSE +/- 103.88, N = 3SE +/- 144.73, N = 4SE +/- 34.82, N = 3SE +/- 11.36, N = 3SE +/- 3.06, N = 3SE +/- 6.56, N = 3SE +/- 6.94, N = 3SE +/- 15.70, N = 3SE +/- 13.92, N = 3SE +/- 6.49, N = 3SE +/- 5.04, N = 3SE +/- 2.08, N = 3SE +/- 3.06, N = 3SE +/- 6.69, N = 3SE +/- 2.89, N = 3SE +/- 6.11, N = 3SE +/- 3.18, N = 3SE +/- 3.18, N = 31915712914120997544517811401108161245712080847280868461923361805370565539824187

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10002000300040005000SE +/- 9.82, N = 3SE +/- 2.19, N = 3SE +/- 17.03, N = 3SE +/- 0.88, N = 3SE +/- 4.16, N = 3SE +/- 2.00, N = 3SE +/- 0.88, N = 3SE +/- 3.53, N = 3SE +/- 2.31, N = 3SE +/- 0.88, N = 3SE +/- 2.96, N = 3SE +/- 3.00, N = 3SE +/- 1.00, N = 3SE +/- 2.00, N = 3SE +/- 0.33, N = 3SE +/- 4.91, N = 3SE +/- 0.00, N = 3SE +/- 0.88, N = 3485932803054190313172867273331373049213920392142232415551349143810031054

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D11002200330044005500SE +/- 1.53, N = 3SE +/- 6.74, N = 3SE +/- 6.12, N = 3SE +/- 2.85, N = 3SE +/- 7.84, N = 3SE +/- 4.00, N = 3SE +/- 0.88, N = 3SE +/- 4.06, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 2.85, N = 3SE +/- 2.08, N = 3SE +/- 0.67, N = 3SE +/- 1.00, N = 3SE +/- 0.88, N = 3SE +/- 3.00, N = 3490133293107194713252901276231673081215620602146234815671369145310151081

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 9SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.892.863.214.696.853.303.483.093.174.314.554.274.045.486.316.038.227.84MIN: 1.84 / MAX: 1.99MIN: 2.67 / MAX: 3.14MIN: 3.02 / MAX: 4MIN: 4.43 / MAX: 4.86MIN: 6.16 / MAX: 7.59MIN: 3.26 / MAX: 3.32MIN: 3.43 / MAX: 3.52MIN: 3.06 / MAX: 3.13MIN: 3.13 / MAX: 3.2MIN: 4.23 / MAX: 4.37MIN: 4.43 / MAX: 4.61MIN: 4.21 / MAX: 4.33MIN: 4 / MAX: 4.07MIN: 5.13 / MAX: 5.62MIN: 5.77 / MAX: 6.51MIN: 5.56 / MAX: 6.19MIN: 7.33 / MAX: 8.69MIN: 6.98 / MAX: 8.3

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.65811.31621.97432.63243.2905SE +/- 0.007861, N = 3SE +/- 0.013015, N = 3SE +/- 0.009735, N = 3SE +/- 0.007839, N = 3SE +/- 0.005307, N = 3SE +/- 0.004147, N = 3SE +/- 0.034923, N = 3SE +/- 0.000922, N = 3SE +/- 0.005631, N = 3SE +/- 0.000935, N = 3SE +/- 0.008733, N = 3SE +/- 0.001190, N = 3SE +/- 0.014700, N = 3SE +/- 0.003746, N = 3SE +/- 0.010582, N = 3SE +/- 0.000450, N = 3SE +/- 0.005784, N = 3SE +/- 0.065059, N = 122.1733101.9185801.7021001.4290801.0262701.4901602.8304501.6087801.5817101.3212001.2567300.7481362.9249001.2771402.3538101.0469401.4322101.8127401. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 1.66, N = 3SE +/- 3.55, N = 3SE +/- 3.36, N = 3SE +/- 3.83, N = 3SE +/- 5.05, N = 3SE +/- 1.88, N = 3SE +/- 4.38, N = 3SE +/- 0.35, N = 3SE +/- 2.24, N = 3SE +/- 0.54, N = 3SE +/- 5.50, N = 3SE +/- 2.14, N = 3SE +/- 1.81, N = 3SE +/- 2.29, N = 3SE +/- 1.88, N = 3SE +/- 0.42, N = 3SE +/- 2.81, N = 3SE +/- 26.42, N = 12459.96521.04587.11699.42973.78670.80353.32621.35631.96756.55795.421336.02341.66782.66424.76954.83697.98561.811. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.95334, N = 12SE +/- 0.05987, N = 3SE +/- 0.15701, N = 3SE +/- 0.00450, N = 3SE +/- 0.02962, N = 3SE +/- 0.00716, N = 3SE +/- 0.02480, N = 3SE +/- 0.00924, N = 3SE +/- 0.00258, N = 3SE +/- 0.00711, N = 3SE +/- 0.00661, N = 3SE +/- 0.00387, N = 3SE +/- 0.05031, N = 3SE +/- 0.00622, N = 3SE +/- 0.00425, N = 3SE +/- 0.00243, N = 3SE +/- 0.00588, N = 3SE +/- 0.00190, N = 317.0206014.5821015.1938011.5925011.232508.3240315.208409.380709.157376.635756.106346.9658714.678507.394866.848057.717946.908467.792201. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 2.16, N = 12SE +/- 0.28, N = 3SE +/- 0.69, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 360.0868.5765.8386.2689.02120.1265.74106.58109.18150.68163.74143.5568.12135.22146.02129.56144.75128.331. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Homogeneous HalfspaceCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 1.07, N = 3SE +/- 0.94, N = 3SE +/- 0.46, N = 3SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.76, N = 3SE +/- 0.45, N = 3SE +/- 0.42, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3SE +/- 0.23, N = 3SE +/- 0.64, N = 3SE +/- 0.29, N = 3SE +/- 0.26, N = 3SE +/- 0.37, N = 4SE +/- 0.12, N = 3123.96112.5093.2364.9339.9474.7271.2383.2579.9358.4256.5657.4765.4148.3243.4542.2434.2133.871. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.14882.29763.44644.59525.744SE +/- 0.001645, N = 3SE +/- 0.005587, N = 3SE +/- 0.019884, N = 3SE +/- 0.002096, N = 3SE +/- 0.006848, N = 3SE +/- 0.002247, N = 3SE +/- 0.002269, N = 3SE +/- 0.001877, N = 3SE +/- 0.003047, N = 3SE +/- 0.006038, N = 3SE +/- 0.003184, N = 3SE +/- 0.006781, N = 3SE +/- 0.003675, N = 3SE +/- 0.006120, N = 3SE +/- 0.001475, N = 3SE +/- 0.013220, N = 3SE +/- 0.055915, N = 3SE +/- 0.032671, N = 151.5055592.0441322.4394933.2916133.8920762.1842852.2699321.8781771.9566043.0735753.1987182.9568552.7198623.6289913.9936803.6644505.1056564.8830191. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.18132.36263.54394.72525.9065SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 9SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.171.782.002.914.272.052.151.931.972.652.812.622.503.433.993.815.255.04MIN: 1.12 / MAX: 1.22MIN: 1.62 / MAX: 1.97MIN: 1.83 / MAX: 2.55MIN: 2.84 / MAX: 3.09MIN: 4.16 / MAX: 4.76MIN: 2 / MAX: 2.11MIN: 2.1 / MAX: 2.22MIN: 1.87 / MAX: 1.98MIN: 1.91 / MAX: 2.03MIN: 2.59 / MAX: 2.74MIN: 2.73 / MAX: 2.91MIN: 2.56 / MAX: 2.71MIN: 2.43 / MAX: 2.59MIN: 3.34 / MAX: 3.59MIN: 3.89 / MAX: 4.18MIN: 3.71 / MAX: 3.99MIN: 5.14 / MAX: 5.54MIN: 4.91 / MAX: 5.33

Llama.cpp

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b3067Model: Meta-Llama-3-8B-Instruct-Q8_0.ggufCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.256.199.237.809.537.166.259.189.187.167.177.168.398.537.768.428.297.571. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b DecryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D140280420560700SE +/- 0.85, N = 2SE +/- 1.10, N = 10SE +/- 0.25, N = 2SE +/- 0.32, N = 3SE +/- 10.66, N = 14SE +/- 0.21, N = 3SE +/- 0.46, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.25, N = 3SE +/- 0.55, N = 8SE +/- 3.15, N = 3SE +/- 0.41, N = 3SE +/- 4.85, N = 3SE +/- 7.00, N = 3SE +/- 0.43, N = 15SE +/- 2.43, N = 3SE +/- 0.52, N = 3551.3556.5599.9640.5619.3605.1641.0558.5595.3629.2645.5584.2605.6635.6626.6588.0632.4660.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D140280420560700SE +/- 2.24, N = 3SE +/- 1.24, N = 10SE +/- 0.35, N = 3SE +/- 0.15, N = 2SE +/- 11.43, N = 13SE +/- 0.15, N = 3SE +/- 0.37, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.34, N = 8SE +/- 1.90, N = 3SE +/- 0.21, N = 3SE +/- 4.51, N = 3SE +/- 7.32, N = 3SE +/- 0.42, N = 15SE +/- 2.11, N = 3SE +/- 0.24, N = 3545.9554.2597.2638.1617.1590.6625.5544.8580.2613.7630.4580.2590.5620.4611.5581.8617.8645.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 3.27, N = 3SE +/- 1.66, N = 12SE +/- 0.28, N = 3SE +/- 0.32, N = 3SE +/- 17.37, N = 14SE +/- 0.15, N = 3SE +/- 0.49, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 8SE +/- 0.85, N = 3SE +/- 0.00, N = 3SE +/- 0.41, N = 3SE +/- 13.88, N = 3SE +/- 0.22, N = 15SE +/- 3.88, N = 3SE +/- 0.17, N = 3816.3824.3887.2949.7920.4900.3794.0864.0919.9936.6973.0916.7936.7954.7987.4925.7993.01009.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 4.38, N = 3SE +/- 1.82, N = 12SE +/- 0.52, N = 3SE +/- 0.35, N = 3SE +/- 16.84, N = 14SE +/- 0.20, N = 3SE +/- 0.50, N = 3SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 8SE +/- 0.42, N = 3SE +/- 0.13, N = 3SE +/- 0.31, N = 3SE +/- 13.98, N = 3SE +/- 0.48, N = 15SE +/- 4.20, N = 3SE +/- 0.34, N = 3791.3799.9860.2921.0892.7908.5802.4872.0927.7945.1982.7925.6945.1963.5997.4938.91001.91018.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 136.75, N = 3SE +/- 28.86, N = 12SE +/- 22.40, N = 3SE +/- 28.07, N = 3SE +/- 150.65, N = 15SE +/- 11.39, N = 3SE +/- 18.35, N = 3SE +/- 9.88, N = 3SE +/- 2.34, N = 3SE +/- 13.57, N = 3SE +/- 8.48, N = 7SE +/- 5.78, N = 3SE +/- 16.67, N = 3SE +/- 23.22, N = 3SE +/- 90.89, N = 3SE +/- 3.19, N = 15SE +/- 35.19, N = 3SE +/- 13.70, N = 37597.17421.38396.19024.98679.05533.35845.75085.05451.35765.75964.75385.55523.05818.05899.45397.55898.96129.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 128.65, N = 3SE +/- 26.37, N = 12SE +/- 29.26, N = 3SE +/- 27.42, N = 3SE +/- 164.57, N = 15SE +/- 10.98, N = 3SE +/- 15.42, N = 3SE +/- 4.59, N = 3SE +/- 2.24, N = 3SE +/- 9.28, N = 3SE +/- 7.32, N = 8SE +/- 2.64, N = 3SE +/- 10.43, N = 3SE +/- 22.54, N = 3SE +/- 88.68, N = 3SE +/- 3.19, N = 15SE +/- 33.75, N = 3SE +/- 15.41, N = 37686.27420.28412.99016.88800.55538.85858.05102.75461.65760.05962.85381.95536.05819.45899.25345.95895.86129.0

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D140280420560700SE +/- 1.95, N = 3SE +/- 1.19, N = 12SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 11.76, N = 15SE +/- 0.09, N = 3SE +/- 0.78, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 3SE +/- 0.62, N = 8SE +/- 4.46, N = 3SE +/- 0.09, N = 3SE +/- 4.72, N = 3SE +/- 7.33, N = 3SE +/- 0.45, N = 15SE +/- 2.16, N = 3SE +/- 0.94, N = 3547.4557.3600.0640.5625.5604.2639.0557.3592.6628.1643.8581.8603.4634.1624.5587.5631.0658.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D140280420560700SE +/- 0.75, N = 3SE +/- 0.98, N = 12SE +/- 1.90, N = 3SE +/- 1.94, N = 3SE +/- 11.80, N = 15SE +/- 1.35, N = 3SE +/- 2.21, N = 3SE +/- 1.62, N = 3SE +/- 1.73, N = 3SE +/- 1.40, N = 3SE +/- 0.83, N = 8SE +/- 4.22, N = 3SE +/- 1.78, N = 3SE +/- 6.07, N = 3SE +/- 8.40, N = 3SE +/- 0.62, N = 15SE +/- 3.29, N = 3SE +/- 3.20, N = 3546.0554.0595.6635.9621.8592.7625.5546.2581.1615.7631.9577.5591.5621.7613.1581.4619.8644.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 3.27, N = 3SE +/- 1.83, N = 12SE +/- 1.16, N = 3SE +/- 0.52, N = 3SE +/- 19.14, N = 15SE +/- 0.15, N = 3SE +/- 0.77, N = 3SE +/- 0.12, N = 3SE +/- 0.29, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 8SE +/- 0.38, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 13.72, N = 3SE +/- 0.13, N = 15SE +/- 3.66, N = 3SE +/- 0.55, N = 3819.1825.4887.8950.5931.1901.4793.7865.0921.5938.2974.4917.8937.6955.4988.2927.0994.01011.0

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.38, N = 3SE +/- 2.13, N = 12SE +/- 7.02, N = 3SE +/- 2.76, N = 3SE +/- 18.62, N = 15SE +/- 2.35, N = 3SE +/- 2.97, N = 3SE +/- 2.58, N = 3SE +/- 2.60, N = 3SE +/- 2.01, N = 3SE +/- 0.92, N = 8SE +/- 2.83, N = 3SE +/- 3.03, N = 3SE +/- 1.89, N = 3SE +/- 15.87, N = 3SE +/- 0.66, N = 15SE +/- 5.41, N = 3SE +/- 4.97, N = 3791.1798.4855.0919.5902.6908.6800.6871.3928.4945.6984.4924.9944.3963.5996.8939.11002.21017.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 140.15, N = 3SE +/- 27.10, N = 12SE +/- 17.10, N = 3SE +/- 34.07, N = 3SE +/- 186.41, N = 15SE +/- 1.48, N = 3SE +/- 18.23, N = 3SE +/- 0.76, N = 3SE +/- 4.47, N = 3SE +/- 3.74, N = 3SE +/- 2.19, N = 8SE +/- 3.50, N = 3SE +/- 9.34, N = 3SE +/- 14.27, N = 3SE +/- 114.93, N = 3SE +/- 2.74, N = 15SE +/- 25.66, N = 3SE +/- 9.29, N = 38434.38046.09124.59795.39580.55963.36279.35464.15813.56187.36408.85636.05920.16255.56326.65693.56370.76590.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 105.35, N = 3SE +/- 24.01, N = 12SE +/- 9.00, N = 3SE +/- 43.35, N = 3SE +/- 189.70, N = 15SE +/- 8.95, N = 3SE +/- 5.40, N = 3SE +/- 3.50, N = 3SE +/- 8.82, N = 3SE +/- 7.08, N = 3SE +/- 2.70, N = 8SE +/- 12.64, N = 3SE +/- 5.08, N = 3SE +/- 19.48, N = 3SE +/- 114.87, N = 3SE +/- 3.57, N = 15SE +/- 54.13, N = 3SE +/- 37.01, N = 38457.38052.79110.59812.39578.05936.86284.95461.65813.66168.96390.05617.25924.36240.76298.65605.16382.66548.3

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D300K600K900K1200K1500KSE +/- 7731.10, N = 3SE +/- 2263.88, N = 12SE +/- 408.00, N = 3SE +/- 1653.28, N = 3SE +/- 328.30, N = 15SE +/- 4888.27, N = 3SE +/- 0.00, N = 3SE +/- 984.00, N = 3SE +/- 968.79, N = 3SE +/- 0.00, N = 3SE +/- 1011.28, N = 8SE +/- 1831.07, N = 3SE +/- 6152.10, N = 3SE +/- 1221.00, N = 3SE +/- 1514.95, N = 3SE +/- 11120.36, N = 15SE +/- 1849.00, N = 3SE +/- 1837.42, N = 31053606105726311331871201581133940695099610024628801729379059929691004871911812948159980591948656945196985510913401

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D600K1200K1800K2400K3000KSE +/- 7361.13, N = 3SE +/- 30989.35, N = 12SE +/- 6586.17, N = 3SE +/- 0.00, N = 3SE +/- 47145.04, N = 15SE +/- 8031.75, N = 3SE +/- 3284.26, N = 3SE +/- 3392.87, N = 3SE +/- 5577.79, N = 3SE +/- 4351.16, N = 3SE +/- 24414.75, N = 8SE +/- 2550.38, N = 3SE +/- 4016.91, N = 3SE +/- 7357.26, N = 3SE +/- 3861.78, N = 3SE +/- 39838.91, N = 15SE +/- 5464.72, N = 3SE +/- 1770.16, N = 3219985821775322345844251155924728402650198279372624319592598725275700527783422463378264904627200812594426256870627413962535857

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.20, N = 5SE +/- 0.33, N = 3SE +/- 0.40, N = 5SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.25, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31831385482232321223031292741444360551. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.2070.4140.6210.8281.035SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.220.330.360.540.780.360.380.350.360.480.500.460.460.640.720.680.920.88

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.2M2.4M3.6M4.8M6MSE +/- 17586.27, N = 3SE +/- 18526.65, N = 3SE +/- 17498.39, N = 3SE +/- 8202.73, N = 3SE +/- 49301.07, N = 3SE +/- 1383.22, N = 3SE +/- 1633.43, N = 3SE +/- 2469.87, N = 3SE +/- 977.60, N = 3SE +/- 4059.12, N = 3SE +/- 401.97, N = 3SE +/- 4125.60, N = 3SE +/- 1370.17, N = 3SE +/- 3140.48, N = 3SE +/- 7696.50, N = 3SE +/- 1419.66, N = 3SE +/- 10658.51, N = 3SE +/- 7724.21, N = 31484216.102396531.662612888.764077502.175555552.291594919.621549792.631464256.131514514.172099008.382185059.402025043.501879222.812717208.402893476.202885088.003981036.613827279.761. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.2M2.4M3.6M4.8M6MSE +/- 20939.64, N = 3SE +/- 28605.31, N = 3SE +/- 29777.43, N = 3SE +/- 7551.70, N = 3SE +/- 39749.84, N = 3SE +/- 1093.32, N = 3SE +/- 2503.88, N = 3SE +/- 2198.67, N = 3SE +/- 2884.07, N = 3SE +/- 2411.17, N = 3SE +/- 3939.68, N = 3SE +/- 1174.76, N = 3SE +/- 3971.10, N = 3SE +/- 1702.24, N = 3SE +/- 4870.85, N = 3SE +/- 6903.95, N = 3SE +/- 7466.14, N = 3SE +/- 4793.69, N = 31451672.832380873.582560247.323993406.315403323.941519325.741482180.241387831.671434363.002008674.752081384.741926836.941791480.232658830.242857267.042817555.443959973.333770804.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.01990, N = 3SE +/- 0.03141, N = 3SE +/- 0.02695, N = 7SE +/- 0.00562, N = 3SE +/- 0.02530, N = 3SE +/- 0.00335, N = 3SE +/- 0.00193, N = 3SE +/- 0.00239, N = 3SE +/- 0.00268, N = 3SE +/- 0.00276, N = 3SE +/- 0.00325, N = 3SE +/- 0.00162, N = 3SE +/- 0.00132, N = 3SE +/- 0.00995, N = 3SE +/- 0.00542, N = 3SE +/- 0.00996, N = 3SE +/- 0.00408, N = 3SE +/- 0.00250, N = 32.047812.807153.000244.619536.565533.500983.662523.197413.298994.623594.819824.478384.297566.258937.105226.706029.472878.95734

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITECore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D14002800420056007000SE +/- 13.45, N = 3SE +/- 2.33, N = 3SE +/- 5.90, N = 3SE +/- 17.95, N = 3SE +/- 7.31, N = 3SE +/- 7.80, N = 3SE +/- 49.61, N = 3SE +/- 42.92, N = 3SE +/- 12.10, N = 3SE +/- 36.79, N = 3SE +/- 8.35, N = 3SE +/- 21.26, N = 3SE +/- 36.99, N = 3SE +/- 37.64, N = 3SE +/- 8.41, N = 3SE +/- 24.25, N = 3SE +/- 33.94, N = 3SE +/- 59.28, N = 33414487325452857289259195887532554645796579967425392588559666292601763311. (CC) gcc options: -lSDL2 -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

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.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.68241.36482.04722.72963.412SE +/- 0.00093, N = 3SE +/- 0.00595, N = 12SE +/- 0.00116, N = 3SE +/- 0.00580, N = 3SE +/- 0.01510, N = 3SE +/- 0.00064, N = 3SE +/- 0.00201, N = 3SE +/- 0.00018, N = 3SE +/- 0.00120, N = 3SE +/- 0.00231, N = 3SE +/- 0.00378, N = 3SE +/- 0.00343, N = 3SE +/- 0.00516, N = 3SE +/- 0.00569, N = 3SE +/- 0.01895, N = 3SE +/- 0.00159, N = 3SE +/- 0.02764, N = 4SE +/- 0.01170, N = 30.368870.354520.678560.991221.488011.351761.427221.250321.273611.714461.830661.731711.584902.216492.557392.458623.032843.02741

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.27732.55463.83195.10926.3865SE +/- 0.001927, N = 3SE +/- 0.007330, N = 3SE +/- 0.030388, N = 4SE +/- 0.004620, N = 3SE +/- 0.005985, N = 3SE +/- 0.002256, N = 3SE +/- 0.002131, N = 3SE +/- 0.001729, N = 3SE +/- 0.000848, N = 3SE +/- 0.005851, N = 3SE +/- 0.001466, N = 3SE +/- 0.006381, N = 3SE +/- 0.001420, N = 3SE +/- 0.010513, N = 3SE +/- 0.002570, N = 3SE +/- 0.009186, N = 3SE +/- 0.047705, N = 15SE +/- 0.032687, N = 31.6241012.2181022.7573493.6743324.0952952.2360612.3274451.9160111.9959413.1797383.3319013.0739092.8152433.7950084.2186473.8568365.6768545.3598101. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: ResNet-50Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1020304050SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.29, N = 3SE +/- 0.01, N = 3SE +/- 0.36, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 316.4019.4221.1729.2440.9526.5824.0625.2125.8532.0633.1833.7828.7836.0436.8137.3742.2140.95

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00484, N = 3SE +/- 0.01869, N = 3SE +/- 0.03019, N = 3SE +/- 0.00243, N = 3SE +/- 0.00775, N = 3SE +/- 0.01735, N = 3SE +/- 0.01020, N = 3SE +/- 0.00667, N = 3SE +/- 0.00691, N = 3SE +/- 0.00633, N = 3SE +/- 0.00896, N = 3SE +/- 0.01883, N = 3SE +/- 0.00293, N = 3SE +/- 0.01250, N = 3SE +/- 0.00261, N = 3SE +/- 0.01999, N = 3SE +/- 0.04088, N = 3SE +/- 0.03418, N = 31.436102.075072.265133.475575.104283.002313.132762.593542.675933.925004.063893.861653.450535.386675.970365.745707.985717.62561

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 161.95, N = 3SE +/- 335.24, N = 3SE +/- 481.33, N = 3SE +/- 313.35, N = 3SE +/- 108.29, N = 3SE +/- 100.08, N = 3SE +/- 59.40, N = 3SE +/- 119.59, N = 3SE +/- 219.27, N = 3SE +/- 151.10, N = 3SE +/- 59.76, N = 3SE +/- 72.21, N = 3SE +/- 103.14, N = 3SE +/- 89.16, N = 3SE +/- 21.94, N = 3SE +/- 131.20, N = 3SE +/- 5.17, N = 3SE +/- 28.81, N = 3942946358058808386682468858244548726325061537437704228844128479273287525553308831898920048

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01046, N = 3SE +/- 0.02139, N = 3SE +/- 0.02085, N = 3SE +/- 0.00928, N = 3SE +/- 0.00746, N = 3SE +/- 0.00400, N = 3SE +/- 0.01074, N = 3SE +/- 0.01065, N = 3SE +/- 0.00288, N = 3SE +/- 0.01337, N = 3SE +/- 0.01436, N = 3SE +/- 0.01255, N = 3SE +/- 0.01366, N = 3SE +/- 0.00512, N = 3SE +/- 0.01407, N = 3SE +/- 0.01886, N = 3SE +/- 0.01253, N = 3SE +/- 0.03992, N = 31.396672.025572.192853.380834.905332.942153.080642.571052.635983.890684.023363.790893.412645.282035.900345.636777.819827.50091

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 4.4Acceleration: CPU - Scene: BedroomCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.242.483.724.966.2SE +/- 0.001, N = 3SE +/- 0.016, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.044, N = 4SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.019, N = 31.0491.5991.7702.6743.8672.0462.1511.8781.9292.6762.8222.7342.4953.5724.1434.0355.5115.378

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.40, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.21, N = 5SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 333.4431.0536.6324.8822.3421.2618.4421.5321.1316.2715.5513.6416.8117.5815.0115.2316.6615.08MIN: 24.62 / MAX: 43.82MIN: 16.22 / MAX: 56.07MIN: 22.45 / MAX: 57.86MIN: 18.58 / MAX: 105.71MIN: 12.34 / MAX: 124.46MIN: 15.87 / MAX: 25.62MIN: 12.28 / MAX: 34.04MIN: 11.81 / MAX: 28.76MIN: 11.05 / MAX: 25.95MIN: 8.03 / MAX: 28.1MIN: 12.12 / MAX: 24.67MIN: 10.16 / MAX: 20.25MIN: 11.16 / MAX: 31.08MIN: 13.76 / MAX: 25.32MIN: 7.94 / MAX: 34.09MIN: 9.75 / MAX: 22.59MIN: 8.11 / MAX: 22.99MIN: 9.38 / MAX: 33.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D110220330440550SE +/- 0.90, N = 3SE +/- 1.46, N = 3SE +/- 1.80, N = 3SE +/- 0.99, N = 3SE +/- 0.70, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.41, N = 3SE +/- 1.89, N = 5SE +/- 0.13, N = 3SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.45, N = 3SE +/- 0.40, N = 3SE +/- 0.46, N = 3SE +/- 2.34, N = 3SE +/- 0.25, N = 3119.52160.68163.54240.84356.79187.83216.30185.52189.10245.40256.82293.11237.22340.81398.72393.46478.56529.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -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 4.4Acceleration: CPU - Scene: SupercarCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.002, N = 3SE +/- 0.017, N = 3SE +/- 0.014, N = 3SE +/- 0.037, N = 3SE +/- 0.027, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.012, N = 3SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.020, N = 3SE +/- 0.023, N = 3SE +/- 0.034, N = 3SE +/- 0.009, N = 3SE +/- 0.040, N = 3SE +/- 0.021, N = 32.5434.1314.7797.49911.1684.4264.6574.0804.2045.8316.1215.9385.3527.8349.1058.87212.14111.780

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D160320480640800SE +/- 4.70, N = 3SE +/- 5.59, N = 3SE +/- 8.32, N = 3SE +/- 3.39, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 1.12, N = 3SE +/- 0.81, N = 3SE +/- 0.78, N = 3SE +/- 0.36, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.31, N = 3712.75626.85752.13495.99450.13392.62468.58417.11407.38299.25280.67305.68347.45340.71302.06308.31285.87324.05MIN: 473.04 / MAX: 755.46MIN: 285.29 / MAX: 1349.27MIN: 452.3 / MAX: 1485.64MIN: 367.2 / MAX: 1158.54MIN: 164.71 / MAX: 1018.22MIN: 381.52 / MAX: 398.12MIN: 313.26 / MAX: 523.2MIN: 405.43 / MAX: 423.34MIN: 390.22 / MAX: 412.07MIN: 284.34 / MAX: 313.37MIN: 270.93 / MAX: 288.4MIN: 298.78 / MAX: 310.08MIN: 172.18 / MAX: 442.5MIN: 299.86 / MAX: 348.83MIN: 146.54 / MAX: 406.15MIN: 173.53 / MAX: 328.88MIN: 272.52 / MAX: 291.24MIN: 183.15 / MAX: 4281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 35.597.937.9412.0417.6810.188.519.589.8113.3514.2413.0811.4917.5819.8419.4427.9324.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 1.42, N = 3SE +/- 1.53, N = 3SE +/- 2.48, N = 3SE +/- 0.70, N = 3SE +/- 0.66, N = 3SE +/- 0.76, N = 4SE +/- 0.10, N = 3SE +/- 0.81, N = 3SE +/- 0.60, N = 3SE +/- 0.27, N = 3SE +/- 0.66, N = 3SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3206.42178.34206.50139.23129.1863.0872.1265.5764.9752.0649.2751.8655.1059.9852.5352.8558.1356.06MIN: 124.98 / MAX: 227.01MIN: 82.5 / MAX: 258.49MIN: 94.94 / MAX: 289.77MIN: 113.05 / MAX: 291.07MIN: 88.12 / MAX: 292.14MIN: 34.17 / MAX: 76.53MIN: 47.21 / MAX: 97.36MIN: 47.71 / MAX: 73.15MIN: 46.75 / MAX: 72MIN: 24.83 / MAX: 57.71MIN: 24.56 / MAX: 57.07MIN: 41.44 / MAX: 57.05MIN: 27.46 / MAX: 121.52MIN: 38.36 / MAX: 69.17MIN: 28.05 / MAX: 111.29MIN: 26.86 / MAX: 65.79MIN: 29.01 / MAX: 68.94MIN: 31.28 / MAX: 100.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.35, N = 3SE +/- 0.21, N = 3SE +/- 0.32, N = 3SE +/- 0.77, N = 4SE +/- 0.07, N = 3SE +/- 0.75, N = 3SE +/- 0.56, N = 3SE +/- 0.40, N = 3SE +/- 1.09, N = 3SE +/- 0.37, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.53, N = 3SE +/- 0.08, N = 319.3628.0129.0243.0561.8563.3955.4160.9861.5376.7781.1577.0872.4899.95114.08113.41137.41142.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Selenium

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 1.70, N = 3SE +/- 1.85, N = 3SE +/- 1.16, N = 3SE +/- 2.34, N = 3SE +/- 2.67, N = 3SE +/- 4.23, N = 3SE +/- 3.05, N = 3SE +/- 1.00, N = 3SE +/- 1.62, N = 3SE +/- 0.97, N = 3SE +/- 0.68, N = 3SE +/- 2.42, N = 3SE +/- 1.11, N = 3SE +/- 0.63, N = 3SE +/- 1.23, N = 3SE +/- 3.94, N = 3SE +/- 2.24, N = 3SE +/- 4.48, N = 2328.86334.73359.45396.16432.42376.32400.34345.90363.22392.91405.31366.52370.28384.58382.36360.06389.29365.571. chrome 125.0.6422.141

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 168.55, N = 3SE +/- 644.37, N = 4SE +/- 478.44, N = 3SE +/- 39.94, N = 3SE +/- 51.96, N = 3SE +/- 126.53, N = 3SE +/- 37.04, N = 3SE +/- 212.56, N = 3SE +/- 170.22, N = 3SE +/- 214.85, N = 3SE +/- 21.43, N = 3SE +/- 125.91, N = 3SE +/- 80.39, N = 3SE +/- 8.74, N = 3SE +/- 16.09, N = 3SE +/- 62.43, N = 3SE +/- 11.79, N = 3SE +/- 120.85, N = 3798925340249972334742084549534467705402752416377143623537991406382482521568228591602216994

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.764.385.048.168.773.273.183.483.443.343.123.483.733.783.203.483.173.52MIN: 2.88 / MAX: 13.91MIN: 1.99 / MAX: 13.5MIN: 2.99 / MAX: 9.57MIN: 4.64 / MAX: 43.81MIN: 4.48 / MAX: 44.4MIN: 1.85 / MAX: 8.62MIN: 1.75 / MAX: 51.35MIN: 2.04 / MAX: 7.8MIN: 2 / MAX: 8.13MIN: 1.88 / MAX: 13.56MIN: 1.75 / MAX: 6.86MIN: 1.98 / MAX: 7.01MIN: 2.06 / MAX: 54.24MIN: 2.09 / MAX: 7.7MIN: 1.78 / MAX: 77.1MIN: 2.01 / MAX: 11.12MIN: 1.8 / MAX: 6.92MIN: 1.98 / MAX: 109.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D11002200330044005500SE +/- 4.29, N = 3SE +/- 10.15, N = 3SE +/- 13.77, N = 4SE +/- 5.78, N = 3SE +/- 3.97, N = 3SE +/- 1.00, N = 3SE +/- 1.51, N = 3SE +/- 8.28, N = 3SE +/- 5.20, N = 3SE +/- 0.31, N = 3SE +/- 2.41, N = 3SE +/- 0.41, N = 3SE +/- 1.39, N = 3SE +/- 0.89, N = 3SE +/- 1.08, N = 3SE +/- 1.18, N = 3SE +/- 9.62, N = 3SE +/- 3.18, N = 3836.831120.231188.571916.612652.111815.011867.131701.771718.442352.782524.692251.202118.193094.183692.333389.944912.074486.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 231.11, N = 3SE +/- 416.71, N = 3SE +/- 454.19, N = 3SE +/- 73.26, N = 3SE +/- 47.15, N = 3SE +/- 103.13, N = 3SE +/- 129.99, N = 3SE +/- 183.21, N = 3SE +/- 161.19, N = 3SE +/- 164.95, N = 3SE +/- 55.72, N = 3SE +/- 75.61, N = 3SE +/- 172.25, N = 3SE +/- 20.60, N = 3SE +/- 5.78, N = 3SE +/- 124.50, N = 3SE +/- 13.08, N = 3SE +/- 71.85, N = 3807505402850498339932131450364475965474653131378713656238229413862503821837231101622717018

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1530456075SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.60, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 361.2364.1459.7456.1551.7161.0058.0465.9262.2059.4957.6863.0962.7762.4362.6164.2063.2366.43

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.01041, N = 3SE +/- 0.01441, N = 3SE +/- 0.01796, N = 3SE +/- 0.00091, N = 3SE +/- 0.00582, N = 3SE +/- 0.05677, N = 3SE +/- 0.01280, N = 3SE +/- 0.00704, N = 3SE +/- 0.01020, N = 3SE +/- 0.00418, N = 3SE +/- 0.02314, N = 3SE +/- 0.00935, N = 3SE +/- 0.04594, N = 3SE +/- 0.00540, N = 3SE +/- 0.00878, N = 3SE +/- 0.00635, N = 3SE +/- 0.02071, N = 3SE +/- 0.01718, N = 37.334887.100136.054795.756405.565297.0261314.701706.275566.243117.339167.310715.9013113.275706.317446.282655.414726.830515.608391. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.20, N = 3SE +/- 0.28, N = 3SE +/- 0.49, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 1.15, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.43, N = 3SE +/- 0.27, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.22, N = 3SE +/- 0.44, N = 3SE +/- 0.55, N = 3136.25140.76165.03173.62179.57142.2567.97159.22160.06136.16136.69169.3475.27158.22159.09184.58146.37178.261. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 32540486698383735364951484467717198881. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 1.68, N = 3SE +/- 1.60, N = 3SE +/- 2.68, N = 3SE +/- 0.52, N = 3SE +/- 0.89, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.19, N = 3SE +/- 0.48, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.52, N = 3SE +/- 0.01, N = 3233.72202.67225.91160.01150.5686.2791.5293.4892.1372.5069.6762.7275.4477.9170.1866.8179.0673.45MIN: 157.16 / MAX: 253.32MIN: 162.86 / MAX: 250.52MIN: 120.28 / MAX: 263.64MIN: 135.61 / MAX: 292.99MIN: 109.87 / MAX: 306.89MIN: 65.52 / MAX: 102MIN: 43.07 / MAX: 134.54MIN: 45.68 / MAX: 98.63MIN: 69.89 / MAX: 101.41MIN: 52.23 / MAX: 83.8MIN: 32.93 / MAX: 79.47MIN: 32.96 / MAX: 73.87MIN: 39.07 / MAX: 100.82MIN: 57.97 / MAX: 99.97MIN: 41.08 / MAX: 106.33MIN: 28.74 / MAX: 85.11MIN: 55.44 / MAX: 111.13MIN: 36.32 / MAX: 114.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.30, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.49, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.67, N = 3SE +/- 0.01, N = 317.1024.6326.5437.4453.0346.3243.6742.7643.3855.1457.3763.7452.9876.9585.4089.75101.10108.801. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.01478, N = 3SE +/- 0.00614, N = 3SE +/- 0.00575, N = 3SE +/- 0.00913, N = 3SE +/- 0.01456, N = 3SE +/- 0.00772, N = 3SE +/- 0.12035, N = 3SE +/- 0.00277, N = 3SE +/- 0.00321, N = 3SE +/- 0.01241, N = 3SE +/- 0.00915, N = 3SE +/- 0.00538, N = 3SE +/- 0.08198, N = 3SE +/- 0.00429, N = 3SE +/- 0.03469, N = 3SE +/- 0.02978, N = 3SE +/- 0.01210, N = 3SE +/- 0.01400, N = 35.227455.254404.924914.973104.740036.1387712.540705.162755.108146.480096.503564.9581510.274105.278165.199694.181075.883864.556931. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.54, N = 3SE +/- 0.23, N = 3SE +/- 0.24, N = 3SE +/- 0.37, N = 3SE +/- 0.65, N = 3SE +/- 0.21, N = 3SE +/- 0.76, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.29, N = 3SE +/- 0.22, N = 3SE +/- 0.22, N = 3SE +/- 0.79, N = 3SE +/- 0.15, N = 3SE +/- 1.29, N = 3SE +/- 1.71, N = 3SE +/- 0.35, N = 3SE +/- 0.67, N = 3191.26190.27202.98201.04210.92162.8679.74193.64195.70154.27153.71201.6597.31189.43192.31239.14169.94219.431. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 313.6812.7214.6221.8723.777.907.098.868.758.107.836.908.889.408.117.549.398.11MIN: 10.07 / MAX: 26.8MIN: 7.78 / MAX: 25.52MIN: 9.12 / MAX: 19.93MIN: 13.6 / MAX: 75.35MIN: 13.5 / MAX: 85.73MIN: 4.73 / MAX: 12.66MIN: 4.78 / MAX: 39.2MIN: 5.49 / MAX: 11.46MIN: 5.38 / MAX: 13.88MIN: 5.01 / MAX: 13.3MIN: 4.76 / MAX: 10.61MIN: 4.67 / MAX: 11.52MIN: 6.12 / MAX: 31.68MIN: 5.32 / MAX: 15.63MIN: 5.12 / MAX: 25.43MIN: 4.95 / MAX: 14.5MIN: 5.49 / MAX: 16.47MIN: 5.07 / MAX: 30.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 1.81, N = 3SE +/- 3.51, N = 3SE +/- 4.58, N = 3SE +/- 0.39, N = 3SE +/- 4.72, N = 3SE +/- 0.92, N = 3SE +/- 0.58, N = 3SE +/- 2.02, N = 3SE +/- 0.66, N = 3SE +/- 3.67, N = 3SE +/- 1.31, N = 3SE +/- 2.19, N = 3SE +/- 1.04, N = 3SE +/- 5.18, N = 3SE +/- 3.52, N = 3SE +/- 1.47, N = 3SE +/- 6.33, N = 3SE +/- 2.48, N = 3291.47391.19407.34724.82999.75749.67837.52669.40677.99972.841006.081152.59893.041259.261459.851575.521675.441949.301. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 316.9816.0717.8412.2612.025.836.127.177.124.734.434.655.865.645.135.224.775.24MIN: 10.21 / MAX: 27.34MIN: 8.57 / MAX: 27.9MIN: 9.73 / MAX: 24.57MIN: 6.12 / MAX: 63.37MIN: 5.77 / MAX: 59.29MIN: 3.97 / MAX: 13.49MIN: 3.89 / MAX: 16.78MIN: 5.03 / MAX: 11.84MIN: 4.41 / MAX: 12.23MIN: 3.18 / MAX: 7.94MIN: 3.09 / MAX: 7.39MIN: 3.73 / MAX: 9.98MIN: 3.9 / MAX: 15.89MIN: 4.26 / MAX: 9.75MIN: 3.11 / MAX: 16.74MIN: 3.61 / MAX: 9.9MIN: 3.28 / MAX: 8.36MIN: 3.44 / MAX: 27.541. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 1.94, N = 3SE +/- 2.82, N = 3SE +/- 1.34, N = 3SE +/- 0.86, N = 3SE +/- 3.32, N = 3SE +/- 3.26, N = 3SE +/- 0.73, N = 3SE +/- 2.92, N = 3SE +/- 6.41, N = 3SE +/- 2.44, N = 3SE +/- 1.27, N = 3SE +/- 0.26, N = 3SE +/- 0.95, N = 3SE +/- 2.10, N = 3SE +/- 2.33, N = 3SE +/- 1.73, N = 3SE +/- 3.91, N = 3SE +/- 0.49, N = 3235.28310.17335.65488.44661.08684.56651.31555.72560.06844.05900.23858.93677.351061.131164.601145.161669.371518.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 33960689213260605659737770678999931201131. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 316.7914.9517.0511.299.915.145.765.955.834.073.774.144.954.764.254.343.884.47MIN: 11.18 / MAX: 27.49MIN: 8.75 / MAX: 26.21MIN: 8.59 / MAX: 22.8MIN: 8.83 / MAX: 63.89MIN: 4.05 / MAX: 56.72MIN: 3.05 / MAX: 13.99MIN: 2.99 / MAX: 52.04MIN: 3.45 / MAX: 40.79MIN: 3.32 / MAX: 14.43MIN: 2.51 / MAX: 22.69MIN: 2.32 / MAX: 9.63MIN: 2.67 / MAX: 14.66MIN: 2.89 / MAX: 53.45MIN: 2.78 / MAX: 9.86MIN: 2.34 / MAX: 68.49MIN: 2.6 / MAX: 15.38MIN: 2.41 / MAX: 11.3MIN: 2.53 / MAX: 67.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 2.01, N = 3SE +/- 3.32, N = 3SE +/- 4.00, N = 3SE +/- 0.24, N = 3SE +/- 4.71, N = 3SE +/- 0.06, N = 3SE +/- 1.68, N = 3SE +/- 2.55, N = 3SE +/- 1.44, N = 3SE +/- 0.89, N = 3SE +/- 0.08, N = 3SE +/- 0.71, N = 3SE +/- 0.23, N = 3SE +/- 0.79, N = 3SE +/- 1.50, N = 3SE +/- 1.01, N = 3SE +/- 4.42, N = 3SE +/- 1.10, N = 3237.88332.48351.34530.45793.93776.96692.24670.20683.57980.791058.56963.97803.231256.231406.851377.422051.841782.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.26, N = 3SE +/- 1.17, N = 3SE +/- 0.56, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 343.17112.10112.6967.6671.5319.1819.1721.3320.8920.0018.7019.3722.9122.8319.3419.9719.0220.73MIN: 32.67 / MAX: 53.9MIN: 67.41 / MAX: 506.64MIN: 71.34 / MAX: 154.04MIN: 45.06 / MAX: 173.33MIN: 46.01 / MAX: 187.4MIN: 15.14 / MAX: 29.23MIN: 12.27 / MAX: 49.89MIN: 16.6 / MAX: 28.81MIN: 13.74 / MAX: 30.74MIN: 13.06 / MAX: 32.97MIN: 14.74 / MAX: 28.73MIN: 15.25 / MAX: 28.64MIN: 16.25 / MAX: 63.25MIN: 14.52 / MAX: 69.33MIN: 12.87 / MAX: 51.99MIN: 16.15 / MAX: 33.2MIN: 13.61 / MAX: 29.95MIN: 14.73 / MAX: 55.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.56, N = 3SE +/- 1.31, N = 3SE +/- 0.72, N = 3SE +/- 0.46, N = 3SE +/- 1.03, N = 3SE +/- 2.13, N = 3SE +/- 0.39, N = 3SE +/- 0.56, N = 3SE +/- 1.29, N = 3SE +/- 1.96, N = 3SE +/- 1.23, N = 3SE +/- 1.04, N = 3SE +/- 0.31, N = 3SE +/- 0.20, N = 3SE +/- 2.08, N = 3SE +/- 0.72, N = 3SE +/- 1.61, N = 3SE +/- 0.65, N = 392.60124.78141.81236.23335.14312.53312.60280.89286.83399.67427.16412.93348.13524.64619.64599.96839.75770.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 314.9313.4315.3110.169.376.126.956.956.834.724.424.735.715.454.864.974.565.16MIN: 11.12 / MAX: 24.79MIN: 7.52 / MAX: 29.38MIN: 8.65 / MAX: 26.53MIN: 5.64 / MAX: 83.56MIN: 3.92 / MAX: 64.73MIN: 3.53 / MAX: 14.99MIN: 3.52 / MAX: 63.57MIN: 3.81 / MAX: 17.01MIN: 3.65 / MAX: 16.28MIN: 2.8 / MAX: 14.8MIN: 2.55 / MAX: 14.5MIN: 2.87 / MAX: 14.85MIN: 3.15 / MAX: 66.9MIN: 3 / MAX: 16.1MIN: 2.6 / MAX: 65.07MIN: 2.83 / MAX: 16.53MIN: 2.66 / MAX: 13.38MIN: 2.79 / MAX: 95.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 2.31, N = 3SE +/- 3.41, N = 3SE +/- 4.87, N = 3SE +/- 3.18, N = 3SE +/- 3.01, N = 3SE +/- 2.09, N = 3SE +/- 7.33, N = 3SE +/- 0.45, N = 3SE +/- 0.49, N = 3SE +/- 1.95, N = 3SE +/- 4.79, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 1.15, N = 3SE +/- 0.44, N = 3SE +/- 0.71, N = 3SE +/- 2.61, N = 3SE +/- 0.64, N = 3267.46370.39391.29589.69837.32652.29574.32572.78582.94844.51902.91844.53696.481096.671230.451203.231745.341544.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D140K280K420K560K700KSE +/- 2549.57, N = 3SE +/- 1900.65, N = 3SE +/- 2781.87, N = 3SE +/- 1072.06, N = 3SE +/- 2434.57, N = 3SE +/- 597.00, N = 3SE +/- 173.93, N = 3SE +/- 1197.08, N = 3SE +/- 559.47, N = 3SE +/- 1082.29, N = 3SE +/- 150.87, N = 3SE +/- 1026.95, N = 3SE +/- 570.28, N = 3SE +/- 1000.59, N = 3SE +/- 292.34, N = 3SE +/- 449.30, N = 3SE +/- 534.37, N = 3SE +/- 1047.61, N = 35665122895473248214297355667064776224070044389134518295495835673985254044493505399395279855371176744676483981. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.19130.38260.57390.76520.9565SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.780.850.570.600.330.280.310.300.300.280.310.320.330.280.310.280.31MIN: 0.21 / MAX: 3.77MIN: 0.37 / MAX: 12.11MIN: 0.34 / MAX: 4.45MIN: 0.28 / MAX: 4.41MIN: 0.28 / MAX: 7.71MIN: 0.16 / MAX: 4.3MIN: 0.15 / MAX: 10.4MIN: 0.17 / MAX: 4.01MIN: 0.17 / MAX: 5.26MIN: 0.16 / MAX: 7.47MIN: 0.15 / MAX: 3.34MIN: 0.17 / MAX: 3.66MIN: 0.18 / MAX: 11.41MIN: 0.17 / MAX: 4.72MIN: 0.15 / MAX: 13.32MIN: 0.17 / MAX: 7.31MIN: 0.15 / MAX: 6.63MIN: 0.16 / MAX: 11.61. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D11K22K33K44K55KSE +/- 57.20, N = 3SE +/- 164.35, N = 3SE +/- 231.37, N = 3SE +/- 30.73, N = 3SE +/- 52.46, N = 3SE +/- 20.70, N = 3SE +/- 10.47, N = 3SE +/- 43.92, N = 3SE +/- 40.38, N = 3SE +/- 64.12, N = 3SE +/- 19.65, N = 3SE +/- 19.80, N = 3SE +/- 25.32, N = 3SE +/- 48.37, N = 3SE +/- 13.62, N = 3SE +/- 41.58, N = 3SE +/- 73.57, N = 3SE +/- 71.98, N = 310185.8216272.5517076.6925810.9836151.2216950.2019204.8218173.7718789.6025338.3926816.3223910.7223192.9032891.4437128.0535130.2851016.6345335.101. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.3217.7619.5512.6413.705.757.156.156.015.905.486.106.596.695.786.135.616.29MIN: 4.29 / MAX: 24.36MIN: 9.85 / MAX: 139.34MIN: 9.7 / MAX: 30.18MIN: 7.18 / MAX: 65.8MIN: 7.09 / MAX: 76.44MIN: 3.02 / MAX: 15.04MIN: 3.01 / MAX: 44.65MIN: 3.27 / MAX: 13.85MIN: 3.18 / MAX: 15.6MIN: 3.05 / MAX: 14.56MIN: 2.89 / MAX: 13.8MIN: 3.2 / MAX: 11.63MIN: 3.35 / MAX: 74.54MIN: 3.34 / MAX: 12.93MIN: 2.92 / MAX: 97.47MIN: 3.23 / MAX: 20.43MIN: 2.93 / MAX: 12.29MIN: 3.08 / MAX: 106.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 4.12, N = 3SE +/- 7.35, N = 3SE +/- 10.32, N = 3SE +/- 2.59, N = 3SE +/- 0.70, N = 3SE +/- 0.20, N = 3SE +/- 0.78, N = 3SE +/- 0.25, N = 3SE +/- 0.69, N = 3SE +/- 0.71, N = 3SE +/- 1.25, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.53, N = 3SE +/- 0.44, N = 3SE +/- 0.28, N = 3SE +/- 2.69, N = 3SE +/- 1.29, N = 3544.75780.13797.821253.031703.661040.45836.49972.71993.051351.091454.031308.131207.231780.542066.761946.182829.432532.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D700K1400K2100K2800K3500KSE +/- 4670.28, N = 3SE +/- 9617.64, N = 3SE +/- 17152.00, N = 3SE +/- 11906.45, N = 3SE +/- 4161.14, N = 3SE +/- 984.25, N = 3SE +/- 1012.09, N = 3SE +/- 4529.05, N = 3SE +/- 2333.16, N = 3SE +/- 7517.32, N = 3SE +/- 991.38, N = 3SE +/- 1411.45, N = 3SE +/- 3321.22, N = 3SE +/- 4346.95, N = 3SE +/- 856.38, N = 3SE +/- 3782.80, N = 3SE +/- 3922.55, N = 3SE +/- 7051.25, N = 31238341153018817173922481191305550817884371525960170458617394992210374233856921857361794101229455021167222326009304096029340491. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: HWB Color SpaceCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 2.00, N = 32272733283384012202202042172412512252202552542522832561. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: ResizingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.58, N = 3SE +/- 1.86, N = 3SE +/- 2.67, N = 3SE +/- 0.33, N = 3SE +/- 2.73, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 1.76, N = 3SE +/- 0.67, N = 31382002233234102001881831912472582372052782862893402971. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30M60M90M120M150MSE +/- 267011.60, N = 3SE +/- 699242.91, N = 3SE +/- 616598.19, N = 3SE +/- 727917.62, N = 3SE +/- 321195.59, N = 3SE +/- 146599.31, N = 3SE +/- 74194.84, N = 3SE +/- 353450.84, N = 3SE +/- 317338.41, N = 3SE +/- 114402.27, N = 3SE +/- 207900.89, N = 3SE +/- 40489.98, N = 3SE +/- 54878.11, N = 3SE +/- 320991.90, N = 3SE +/- 27665.88, N = 3SE +/- 297174.68, N = 3SE +/- 221831.70, N = 3SE +/- 751512.94, N = 33036377754007749663574811008038461521076205289820251052971495328245096176669010673728357286876092062232942918998021038939541023680601439450591372307011. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 9.0Test: Update RandomCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D200K400K600K800K1000KSE +/- 3120.48, N = 3SE +/- 1211.59, N = 3SE +/- 3695.96, N = 3SE +/- 2938.73, N = 3SE +/- 4614.35, N = 3SE +/- 2095.22, N = 3SE +/- 772.72, N = 3SE +/- 331.48, N = 3SE +/- 696.45, N = 3SE +/- 815.12, N = 3SE +/- 409.84, N = 3SE +/- 704.85, N = 3SE +/- 167.95, N = 3SE +/- 2991.59, N = 3SE +/- 1707.55, N = 3SE +/- 1739.29, N = 3SE +/- 2575.60, N = 3SE +/- 5214.90, N = 35470942771534431264408297248636041173849875581685733226746997040656547334276206548605661115805938377698004921. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Mount St. HelensCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 1.08, N = 4SE +/- 0.11, N = 3SE +/- 0.76, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.66, N = 5SE +/- 0.75, N = 3SE +/- 0.65, N = 3SE +/- 0.34, N = 3SE +/- 0.49, N = 3SE +/- 0.61, N = 4SE +/- 0.37, N = 3SE +/- 0.36, N = 3SE +/- 0.24, N = 3SE +/- 0.33, N = 3SE +/- 0.31, N = 396.5786.9373.1153.3233.1161.8059.4165.2564.9049.0047.3947.2853.6637.3533.3733.6930.4229.991. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 9.0Test: Read Random Write RandomCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D700K1400K2100K2800K3500KSE +/- 4815.64, N = 3SE +/- 9098.66, N = 3SE +/- 20298.51, N = 3SE +/- 2667.33, N = 3SE +/- 8288.59, N = 3SE +/- 268.63, N = 3SE +/- 1802.55, N = 3SE +/- 2336.27, N = 3SE +/- 2940.01, N = 3SE +/- 914.39, N = 3SE +/- 2838.23, N = 3SE +/- 1484.34, N = 3SE +/- 1314.56, N = 3SE +/- 7703.25, N = 3SE +/- 1317.49, N = 3SE +/- 19930.45, N = 3SE +/- 3577.69, N = 3SE +/- 10042.97, N = 31154603153506817027502477400332209618066431555957165386916959822245745236258423052441770568246800120796552469243336380632665601. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Tomographic ModelCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.34, N = 3SE +/- 1.24, N = 3SE +/- 0.92, N = 3SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.53, N = 3SE +/- 0.27, N = 3SE +/- 0.92, N = 3SE +/- 0.36, N = 3SE +/- 0.65, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 0.33, N = 3SE +/- 0.46, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 1597.6388.3573.2551.7131.9460.2857.4365.1565.1847.5045.1745.9951.4737.8433.1534.0726.5026.171. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collectCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.67, N = 3SE +/- 4.93, N = 3SE +/- 3.67, N = 3SE +/- 2.65, N = 3SE +/- 5.03, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.88, N = 3SE +/- 3.18, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 2.40, N = 3SE +/- 0.33, N = 3SE +/- 1.45, N = 3822908814703621694657814772668646729745659642690651670

Selenium

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D14K28K42K56K70KSE +/- 128.26, N = 3SE +/- 203.90, N = 3SE +/- 64.12, N = 3SE +/- 36.10, N = 3SE +/- 233.17, N = 3SE +/- 176.45, N = 3SE +/- 68.91, N = 3SE +/- 56.42, N = 3SE +/- 136.68, N = 3SE +/- 128.71, N = 3SE +/- 80.84, N = 3SE +/- 75.33, N = 3SE +/- 61.46, N = 3SE +/- 159.25, N = 3SE +/- 692.02, N = 3SE +/- 485.81, N = 15SE +/- 283.10, N = 3SE +/- 477.37, N = 155292052516561285972566883577456070253560562775973761343563215703559836600655767760496588611. firefox 126.0.1

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 4SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 34.877.468.1412.0517.999.409.198.758.9611.6612.6211.1610.4614.1316.1815.0622.9420.421. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

C-Ray

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 2.0Resolution: 1080p - Rays Per Pixel: 16Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.33, N = 3SE +/- 0.50, N = 3SE +/- 0.67, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3114.8172.9662.2143.3929.4174.7270.6678.9076.7257.0853.5561.0059.2942.9136.3238.9527.1829.291. (CC) gcc options: -lpthread -lm

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: PistolCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.42, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 3SE +/- 0.46, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.48, N = 15SE +/- 0.19, N = 3SE +/- 0.26, N = 350.8450.2947.4544.3539.2347.4145.2649.9246.7946.3644.8849.4946.3145.1846.9546.0545.1046.731. OpenSCAD version 2021.01

Selenium

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KSE +/- 47.25, N = 3SE +/- 81.50, N = 3SE +/- 129.07, N = 3SE +/- 427.94, N = 3SE +/- 201.32, N = 3SE +/- 83.43, N = 3SE +/- 130.40, N = 3SE +/- 208.91, N = 3SE +/- 241.44, N = 3SE +/- 152.70, N = 3SE +/- 350.92, N = 3SE +/- 166.46, N = 3SE +/- 307.98, N = 3SE +/- 629.90, N = 3SE +/- 681.28, N = 3SE +/- 755.79, N = 15SE +/- 443.13, N = 3SE +/- 697.75, N = 159282593332996911056611186141006561056219143896789104987106956965149870710297210373697808103540994381. chrome 125.0.6422.141

JPEG-XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 90Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.21, N = 3SE +/- 0.23, N = 8SE +/- 0.24, N = 13SE +/- 0.18, N = 3SE +/- 0.51, N = 5SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 0.44, N = 8SE +/- 0.50, N = 1520.2726.5528.9838.7649.3130.3830.4528.0028.8935.4537.7034.5631.7641.1445.5642.1750.2647.331. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.3.4Time To CompileCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.16, N = 3SE +/- 0.77, N = 4SE +/- 0.84, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.26, N = 390.5768.1458.4846.9936.9562.5859.5469.2766.9353.2051.8152.7858.5244.7442.2343.2938.0639.06

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.36, N = 3SE +/- 0.40, N = 3SE +/- 0.59, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.47, N = 4106.0270.4660.9545.5033.6163.8963.7668.3465.0052.7950.4355.9157.3544.0841.1741.6234.6037.561. (CXX) g++ options: -O3 -fPIC -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D13K26K39K52K65KSE +/- 19.33, N = 3SE +/- 333.36, N = 4SE +/- 201.38, N = 3SE +/- 158.60, N = 3SE +/- 158.94, N = 3SE +/- 74.81, N = 3SE +/- 67.00, N = 3SE +/- 32.19, N = 3SE +/- 5.01, N = 3SE +/- 44.37, N = 3SE +/- 41.19, N = 3SE +/- 39.93, N = 3SE +/- 7.59, N = 3SE +/- 85.21, N = 3SE +/- 83.67, N = 3SE +/- 163.18, N = 3SE +/- 93.46, N = 3SE +/- 199.52, N = 330185.3828635.9531987.1336197.1353978.8827576.0432547.4230518.9331542.9541377.3444230.7243838.2042921.7344578.6444843.4646461.3555946.9460183.701. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt2Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1632486480SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.38, N = 8SE +/- 0.18, N = 3SE +/- 0.29, N = 3SE +/- 0.03, N = 369.8367.0662.0759.1450.2247.3744.9155.1852.9545.9743.8345.7351.6545.0744.8845.1544.6144.121. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.007.668.3612.3918.319.589.388.979.1711.9112.8711.4010.6914.4716.5215.4123.4020.861. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5M10M15M20M25MSE +/- 8192.14, N = 3SE +/- 93682.68, N = 3SE +/- 60555.76, N = 3SE +/- 267804.58, N = 12SE +/- 15452.44, N = 3SE +/- 188723.20, N = 3SE +/- 277841.68, N = 14SE +/- 193721.74, N = 3SE +/- 10477.49, N = 3SE +/- 242543.01, N = 3SE +/- 409666.38, N = 15SE +/- 95170.61, N = 3SE +/- 6658.33, N = 3SE +/- 125446.31, N = 3SE +/- 193827.24, N = 3SE +/- 277280.24, N = 3SE +/- 206747.30, N = 3SE +/- 398877.79, N = 151976266717709667210360001997858322884667185726671948457117156333184243331902033319352667183363331864000019714333191970001974400019752333184178001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.0003, N = 3SE +/- 0.0075, N = 3SE +/- 0.0040, N = 3SE +/- 0.1126, N = 3SE +/- 0.0386, N = 3SE +/- 0.0018, N = 3SE +/- 0.0114, N = 3SE +/- 0.0066, N = 3SE +/- 0.0055, N = 3SE +/- 0.0039, N = 3SE +/- 0.0030, N = 3SE +/- 0.0077, N = 3SE +/- 0.0098, N = 3SE +/- 0.0071, N = 3SE +/- 0.0297, N = 3SE +/- 0.0071, N = 3SE +/- 0.0197, N = 3SE +/- 0.0177, N = 35.59438.435610.348512.311318.80907.49257.43627.07057.28599.752910.43699.32778.908512.923315.024214.096820.620218.46141. (CXX) g++ options: -O3 -flto -pthread

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websocketsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80160240320400SE +/- 0.33, N = 3SE +/- 2.73, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3229244215203180329312358337318311334334316321321312312

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 5.26, N = 3SE +/- 30.46, N = 12SE +/- 17.75, N = 3SE +/- 9.74, N = 3SE +/- 3.00, N = 3SE +/- 8.67, N = 3SE +/- 2.42, N = 3SE +/- 3.21, N = 3SE +/- 8.26, N = 3SE +/- 3.42, N = 3SE +/- 3.86, N = 3SE +/- 5.57, N = 3SE +/- 6.60, N = 3SE +/- 5.09, N = 3SE +/- 1.74, N = 3SE +/- 3.47, N = 3SE +/- 5.39, N = 3SE +/- 12.35, N = 31131.86838.691318.461375.751562.791320.291333.561363.981386.691468.541475.901461.591565.371482.641496.591501.621447.131483.971. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: CrownCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.0202, N = 3SE +/- 0.1076, N = 3SE +/- 0.1283, N = 5SE +/- 0.0291, N = 3SE +/- 0.0676, N = 3SE +/- 0.0080, N = 3SE +/- 0.0051, N = 3SE +/- 0.0178, N = 3SE +/- 0.0106, N = 3SE +/- 0.0052, N = 3SE +/- 0.0216, N = 3SE +/- 0.0248, N = 3SE +/- 0.0029, N = 3SE +/- 0.0123, N = 3SE +/- 0.0227, N = 3SE +/- 0.0395, N = 3SE +/- 0.0419, N = 3SE +/- 0.0535, N = 36.499610.301511.539918.201829.143312.159112.786911.309811.574715.916716.762617.103514.833121.197724.517324.473332.391932.5029MIN: 6.42 / MAX: 6.85MIN: 10.04 / MAX: 12.42MIN: 11.28 / MAX: 15.22MIN: 17.94 / MAX: 18.74MIN: 28.48 / MAX: 30.14MIN: 12.07 / MAX: 12.39MIN: 12.69 / MAX: 13MIN: 11.22 / MAX: 11.53MIN: 11.49 / MAX: 11.74MIN: 15.8 / MAX: 16.22MIN: 16.6 / MAX: 17.14MIN: 16.97 / MAX: 17.37MIN: 14.75 / MAX: 15.05MIN: 21.02 / MAX: 21.51MIN: 24.27 / MAX: 25.11MIN: 24.19 / MAX: 24.85MIN: 32.04 / MAX: 33.08MIN: 32.16 / MAX: 33.03

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.31, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 419.7019.7621.8224.0626.4522.2522.9019.1719.9522.7223.2922.7220.0020.8021.3020.0721.1621.06

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.28, N = 3SE +/- 0.21, N = 3SE +/- 0.84, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3104.3668.7360.3541.6130.0562.7859.4667.5665.8550.6548.0950.3254.5140.4735.7037.3229.6230.59

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1530456075SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 14SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 340.5540.8738.0135.2933.7538.7166.2741.1038.6637.3335.8939.4569.5437.0966.6338.9636.6667.37

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.0344, N = 3SE +/- 0.1135, N = 3SE +/- 0.1196, N = 6SE +/- 0.0228, N = 3SE +/- 0.0416, N = 3SE +/- 0.0120, N = 3SE +/- 0.0156, N = 3SE +/- 0.0066, N = 3SE +/- 0.0083, N = 3SE +/- 0.0524, N = 3SE +/- 0.0280, N = 3SE +/- 0.0069, N = 3SE +/- 0.0032, N = 3SE +/- 0.0089, N = 3SE +/- 0.0252, N = 3SE +/- 0.0532, N = 3SE +/- 0.0353, N = 3SE +/- 0.0282, N = 37.079510.729111.919518.625529.353712.683113.301911.689811.940616.539617.475617.987215.301722.120325.666225.485433.621333.7611MIN: 6.98 / MAX: 7.5MIN: 10.42 / MAX: 12.99MIN: 11.65 / MAX: 15.92MIN: 18.34 / MAX: 19.23MIN: 28.72 / MAX: 30.67MIN: 12.57 / MAX: 12.97MIN: 13.17 / MAX: 13.6MIN: 11.6 / MAX: 11.89MIN: 11.84 / MAX: 12.18MIN: 16.35 / MAX: 16.98MIN: 17.22 / MAX: 17.94MIN: 17.87 / MAX: 18.29MIN: 15.2 / MAX: 15.57MIN: 21.88 / MAX: 22.65MIN: 25.34 / MAX: 26.25MIN: 25.19 / MAX: 25.98MIN: 32.93 / MAX: 34.68MIN: 33.22 / MAX: 34.44

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D9001800270036004500SE +/- 8.52, N = 3SE +/- 15.52, N = 3SE +/- 4.77, N = 3SE +/- 11.37, N = 3SE +/- 6.67, N = 3SE +/- 1.15, N = 3SE +/- 1.84, N = 3SE +/- 21.91, N = 3SE +/- 34.18, N = 3SE +/- 16.24, N = 3SE +/- 14.83, N = 3SE +/- 35.80, N = 3SE +/- 49.44, N = 3SE +/- 3.22, N = 3SE +/- 24.01, N = 3SE +/- 10.65, N = 3SE +/- 18.67, N = 3SE +/- 10.11, N = 32786.863452.403828.283812.804159.591917.812012.442842.932837.522098.482089.862195.982719.882788.032715.022906.012865.142960.531. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 2.16, N = 3SE +/- 6.16, N = 3SE +/- 3.14, N = 3SE +/- 1.42, N = 3SE +/- 1.14, N = 3SE +/- 0.31, N = 3SE +/- 2.54, N = 3SE +/- 2.79, N = 3SE +/- 8.99, N = 3SE +/- 9.25, N = 3SE +/- 9.21, N = 3SE +/- 22.35, N = 3SE +/- 12.12, N = 3SE +/- 1.17, N = 3SE +/- 6.34, N = 3SE +/- 7.74, N = 3SE +/- 2.11, N = 3SE +/- 1.23, N = 32286.282609.852677.742754.852850.201723.031726.451807.861817.881803.951794.581908.031870.262078.772057.392153.792189.352291.601. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.005582, N = 3SE +/- 0.015446, N = 3SE +/- 0.051330, N = 3SE +/- 0.007913, N = 3SE +/- 0.021993, N = 3SE +/- 0.002453, N = 3SE +/- 0.000497, N = 3SE +/- 0.002336, N = 3SE +/- 0.013287, N = 3SE +/- 0.009309, N = 3SE +/- 0.011129, N = 3SE +/- 0.007626, N = 3SE +/- 0.007466, N = 3SE +/- 0.003758, N = 3SE +/- 0.009483, N = 3SE +/- 0.016973, N = 3SE +/- 0.075891, N = 15SE +/- 0.062561, N = 152.2668393.1056873.9067435.1557285.8262053.0668873.1893782.6714022.7566524.3773454.5794664.2468783.8791725.3024735.8600825.3696317.5294746.9457421. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 15SE +/- 0.17, N = 3SE +/- 0.27, N = 1541.1341.5038.3035.8831.7034.8532.9037.6335.4633.6632.5035.3635.1833.1832.4333.9532.6132.891. git version 2.43.0

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 5 - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.027, N = 3SE +/- 0.066, N = 3SE +/- 0.075, N = 3SE +/- 0.023, N = 3SE +/- 0.047, N = 3SE +/- 0.010, N = 3SE +/- 0.023, N = 3SE +/- 0.023, N = 3SE +/- 0.022, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.016, N = 3SE +/- 0.021, N = 3SE +/- 0.011, N = 3SE +/- 0.009, N = 3SE +/- 0.055, N = 36.5708.7499.45112.54416.07611.34511.34010.49710.76713.53814.26013.36312.07116.25117.94216.90520.43618.9231. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.035, N = 3SE +/- 0.086, N = 3SE +/- 0.126, N = 3SE +/- 0.052, N = 3SE +/- 0.028, N = 3SE +/- 0.026, N = 3SE +/- 0.006, N = 3SE +/- 0.032, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.036, N = 3SE +/- 0.022, N = 3SE +/- 0.023, N = 3SE +/- 0.033, N = 3SE +/- 0.020, N = 3SE +/- 0.045, N = 36.8399.36710.40515.03318.36310.67610.5349.71410.24012.90813.70712.59411.61314.78016.39015.75618.83617.4901. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1428425670SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 360.0750.7542.8040.2234.9051.0162.0954.6252.3546.6445.1348.0661.4643.2052.6343.9240.6952.391. RawTherapee, version 5.10, command line.

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 8SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 8SE +/- 0.19, N = 5SE +/- 0.05, N = 3SE +/- 0.13, N = 15SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 8SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 311.4915.7418.1025.6132.5818.0717.9317.2117.3217.3617.9818.6516.9727.1029.1928.8935.9834.731. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 2.98, N = 3SE +/- 2.84, N = 3SE +/- 3.10, N = 4SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.62, N = 3SE +/- 0.65, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3212.4221.0275.1264.9302.7225.2227.1259.4258.8239.6239.9240.4263.9243.2243.6248.1241.9246.51. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

Renaissance

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

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D9001800270036004500SE +/- 7.86, N = 3SE +/- 26.94, N = 3SE +/- 10.71, N = 3SE +/- 22.37, N = 3SE +/- 6.06, N = 3SE +/- 16.98, N = 3SE +/- 24.04, N = 3SE +/- 22.03, N = 3SE +/- 27.82, N = 8SE +/- 23.38, N = 3SE +/- 5.83, N = 3SE +/- 22.84, N = 3SE +/- 16.91, N = 3SE +/- 9.78, N = 3SE +/- 27.05, N = 3SE +/- 21.16, N = 3SE +/- 15.32, N = 3SE +/- 8.19, N = 34176.64369.83915.53637.43235.73171.03055.03449.63262.03024.12921.43092.93195.93209.63131.93288.13052.73159.8MIN: 4164.32 / MAX: 5743.86MIN: 4320.19 / MAX: 6006.47MIN: 3897.26 / MAX: 5341.24MIN: 3592.88 / MAX: 5074.82MIN: 3225.57 / MAX: 4516.14MIN: 3152.36 / MAX: 4167.15MIN: 3030.58 / MAX: 4180.64MIN: 3418.71 / MAX: 4647.19MIN: 3168.34 / MAX: 5234.36MIN: 2977.71 / MAX: 4097.24MIN: 2909.77 / MAX: 3848.89MIN: 3047.3 / MAX: 4138.1MIN: 3164.46 / MAX: 4422.71MIN: 3196.1 / MAX: 4439.37MIN: 3101.99 / MAX: 4406.37MIN: 3258.1 / MAX: 4542.73MIN: 3022.06 / MAX: 4106.16MIN: 3144.79 / MAX: 4535.1

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.004066, N = 3SE +/- 0.025037, N = 3SE +/- 0.041072, N = 3SE +/- 0.003513, N = 3SE +/- 0.001166, N = 3SE +/- 0.003720, N = 3SE +/- 0.004570, N = 3SE +/- 0.003503, N = 3SE +/- 0.002660, N = 3SE +/- 0.004542, N = 3SE +/- 0.006553, N = 3SE +/- 0.008041, N = 3SE +/- 0.008062, N = 3SE +/- 0.011475, N = 3SE +/- 0.012797, N = 3SE +/- 0.015533, N = 3SE +/- 0.053484, N = 3SE +/- 0.058956, N = 152.1491352.9117303.5854384.7203505.3246023.0022673.1283742.5600312.6601704.2720064.4621444.1131633.7749225.0927795.6545635.1539377.1478926.8927961. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian DragonCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.0290, N = 3SE +/- 0.1419, N = 3SE +/- 0.1283, N = 7SE +/- 0.0062, N = 3SE +/- 0.0425, N = 3SE +/- 0.0147, N = 3SE +/- 0.0131, N = 3SE +/- 0.0043, N = 3SE +/- 0.0116, N = 3SE +/- 0.0043, N = 3SE +/- 0.0135, N = 3SE +/- 0.0273, N = 3SE +/- 0.0087, N = 3SE +/- 0.0145, N = 3SE +/- 0.0195, N = 3SE +/- 0.0091, N = 3SE +/- 0.0685, N = 3SE +/- 0.0259, N = 37.975812.633914.428421.232533.510213.471914.016712.911113.273117.572618.079518.575617.117923.867826.099826.403633.015334.4128MIN: 7.89 / MAX: 8.25MIN: 12.27 / MAX: 14.85MIN: 14.09 / MAX: 18.24MIN: 21.06 / MAX: 21.59MIN: 32.74 / MAX: 34.28MIN: 13.41 / MAX: 13.68MIN: 13.94 / MAX: 14.18MIN: 12.87 / MAX: 13.01MIN: 13.21 / MAX: 13.41MIN: 17.5 / MAX: 17.82MIN: 17.98 / MAX: 18.33MIN: 18.43 / MAX: 18.94MIN: 17.06 / MAX: 17.27MIN: 23.76 / MAX: 24.06MIN: 25.96 / MAX: 26.38MIN: 26.28 / MAX: 26.69MIN: 32.71 / MAX: 33.43MIN: 34.2 / MAX: 34.77

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1224364860SE +/- 0.020, N = 3SE +/- 0.030, N = 3SE +/- 0.033, N = 3SE +/- 0.022, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.012, N = 3SE +/- 0.004, N = 3SE +/- 0.193, N = 3SE +/- 0.056, N = 3SE +/- 0.189, N = 3SE +/- 0.007, N = 4SE +/- 0.024, N = 46.5588.0068.46610.95314.98419.13920.31917.75318.35125.84727.15125.22624.08234.36839.12737.26753.27951.5631. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 0.50, N = 3SE +/- 0.75, N = 3SE +/- 0.84, N = 3SE +/- 0.54, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.30, N = 3SE +/- 0.11, N = 3SE +/- 4.82, N = 3SE +/- 1.41, N = 3SE +/- 4.73, N = 3SE +/- 0.17, N = 4SE +/- 0.59, N = 4163.95200.14211.66273.82374.60478.48507.98443.83458.78646.18678.77630.65602.05859.22978.17931.681331.961289.071. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: LiveCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.59, N = 3SE +/- 0.45, N = 3SE +/- 0.50, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.28, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.76, N = 3SE +/- 0.28, N = 3SE +/- 0.75, N = 3SE +/- 1.30, N = 3118.56131.73132.32151.74178.48165.32169.29149.30155.79178.37183.99168.57158.64178.72184.34172.61193.31178.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 32Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D200M400M600M800M1000MSE +/- 2614078.76, N = 12SE +/- 4613946.49, N = 12SE +/- 5017573.78, N = 13SE +/- 4230060.41, N = 3SE +/- 6711654.04, N = 3SE +/- 325081.19, N = 3SE +/- 273922.13, N = 3SE +/- 1926052.38, N = 3SE +/- 261172.57, N = 3SE +/- 270883.33, N = 3SE +/- 2131011.76, N = 3SE +/- 660538.50, N = 3SE +/- 1918914.62, N = 3SE +/- 1944885.03, N = 3SE +/- 2203595.55, N = 3SE +/- 2038220.90, N = 3SE +/- 2042525.67, N = 3SE +/- 1076429.28, N = 33741825005803241675742869238061833338946100005443933335274600004996133335174133337204966677523966677041266676353200007249733337689900007422866678147233337934700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D200K400K600K800K1000KSE +/- 57.29, N = 3SE +/- 1810.98, N = 3SE +/- 5653.40, N = 3SE +/- 3913.91, N = 3SE +/- 5197.75, N = 3SE +/- 337.64, N = 3SE +/- 284.73, N = 3SE +/- 499.56, N = 3SE +/- 1049.32, N = 3SE +/- 1335.97, N = 3SE +/- 1012.45, N = 3SE +/- 989.44, N = 3SE +/- 665.47, N = 3SE +/- 6333.91, N = 6SE +/- 3734.94, N = 3SE +/- 6317.88, N = 3SE +/- 7966.47, N = 3SE +/- 483.94, N = 3211509.68356568.69436265.05602278.08872643.43369593.87387172.65346457.19356369.06493775.14514275.92465601.72469864.60648201.73737515.97684339.461012072.39948117.431. (CC) gcc options: -O2 -lrt" -lrt

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.12, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.32, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3132.0133.1158.1145.3159.5122.9123.0133.0132.9121.0121.0122.1128.2120.8120.8123.5119.3121.81. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

Selenium

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 2.00, N = 3SE +/- 3.84, N = 3SE +/- 2.52, N = 3SE +/- 3.00, N = 3SE +/- 4.64, N = 15SE +/- 1.00, N = 3SE +/- 2.73, N = 3SE +/- 1.86, N = 3SE +/- 0.58, N = 3SE +/- 1.53, N = 3SE +/- 1.15, N = 3SE +/- 1.53, N = 3SE +/- 3.21, N = 3SE +/- 4.37, N = 3SE +/- 2.67, N = 3SE +/- 4.58, N = 3SE +/- 0.00, N = 3SE +/- 1.45, N = 33473413413933903914073543724014103933763974063904033901. firefox 126.0.1

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Speedometer 3.0 - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.37, N = 318.718.119.120.219.726.527.823.424.427.528.228.024.627.427.927.127.727.41. firefox 126.0.1

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.0413, N = 3SE +/- 0.1876, N = 3SE +/- 0.1287, N = 8SE +/- 0.0310, N = 3SE +/- 0.0457, N = 3SE +/- 0.0070, N = 3SE +/- 0.0154, N = 3SE +/- 0.0141, N = 3SE +/- 0.0032, N = 3SE +/- 0.0039, N = 3SE +/- 0.0156, N = 3SE +/- 0.0160, N = 3SE +/- 0.0036, N = 3SE +/- 0.0343, N = 3SE +/- 0.0194, N = 3SE +/- 0.0077, N = 3SE +/- 0.0439, N = 3SE +/- 0.0381, N = 39.191313.778115.571222.955935.460815.033615.654714.397714.755119.569720.206920.859618.859326.405228.915329.409634.923737.3099MIN: 9.06 / MAX: 9.59MIN: 13.34 / MAX: 16.33MIN: 15.18 / MAX: 19.9MIN: 22.71 / MAX: 23.34MIN: 34.91 / MAX: 36.6MIN: 14.96 / MAX: 15.29MIN: 15.55 / MAX: 15.95MIN: 14.31 / MAX: 14.58MIN: 14.69 / MAX: 14.94MIN: 19.47 / MAX: 19.85MIN: 20.06 / MAX: 20.82MIN: 20.72 / MAX: 21.21MIN: 18.78 / MAX: 19.08MIN: 26.24 / MAX: 26.89MIN: 28.7 / MAX: 29.44MIN: 29.24 / MAX: 29.79MIN: 34.54 / MAX: 35.92MIN: 37 / MAX: 38.11

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: TradebeansCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5K10K15K20K25KSE +/- 44.15, N = 15SE +/- 40.55, N = 3SE +/- 185.34, N = 8SE +/- 21.87, N = 3SE +/- 201.05, N = 3SE +/- 21.93, N = 15SE +/- 33.61, N = 4SE +/- 32.87, N = 5SE +/- 31.75, N = 5SE +/- 29.46, N = 6SE +/- 25.60, N = 7SE +/- 22.33, N = 4SE +/- 30.24, N = 4SE +/- 33.33, N = 4SE +/- 31.97, N = 4SE +/- 19.18, N = 4SE +/- 14.51, N = 4SE +/- 30.67, N = 8446552652150217589169552967286832153095292528003069323634693413378533183584

JPEG-XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 90Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.15, N = 3SE +/- 0.25, N = 3SE +/- 0.29, N = 5SE +/- 0.19, N = 3SE +/- 0.52, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.44, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 3SE +/- 0.28, N = 3SE +/- 0.50, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 9SE +/- 0.55, N = 4SE +/- 0.25, N = 319.7626.1428.5038.0048.1829.7629.9527.4128.3534.9137.4433.9031.4340.0044.9941.3749.2445.091. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 3 - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.030, N = 3SE +/- 0.079, N = 3SE +/- 0.124, N = 3SE +/- 0.043, N = 3SE +/- 0.041, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.019, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.012, N = 3SE +/- 0.031, N = 3SE +/- 0.016, N = 3SE +/- 0.060, N = 3SE +/- 0.074, N = 3SE +/- 0.022, N = 37.76010.45611.05814.82017.86914.16614.09812.95513.29016.78317.82316.15314.82419.26221.02919.62423.69621.3731. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 1.51Text-To-Speech SynthesisCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.04, N = 4SE +/- 0.43, N = 20SE +/- 0.07, N = 4SE +/- 0.07, N = 4SE +/- 0.34, N = 20SE +/- 0.06, N = 4SE +/- 0.06, N = 4SE +/- 0.09, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.08, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 4SE +/- 0.13, N = 4SE +/- 0.21, N = 5SE +/- 0.04, N = 4SE +/- 0.06, N = 4SE +/- 0.07, N = 422.5824.9121.1319.8518.4620.5519.2822.2721.0019.8819.2821.5420.8119.7119.8221.3219.5619.921. (CXX) g++ options: -O2

Selenium

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Speedometer 3.0 - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 316.718.419.220.520.729.731.125.126.330.731.630.226.530.731.329.831.530.51. chrome 125.0.6422.141

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 4K - Video Preset: Very FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 6SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 37.0411.2612.6119.7227.9213.7613.4512.8013.0517.7019.0217.1015.6821.8025.3924.0834.6930.94

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1020304050SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.36, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 341.2942.6939.5637.4234.2040.1338.1743.2841.1138.8037.4540.9640.8540.0440.4941.4539.5341.87

Radiance Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150144.89148.84140.27118.15113.54112.29108.69124.09117.50108.38113.16121.85116.39111.69108.85116.87107.40110.57

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 4K - Video Preset: Super FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 6SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 37.1211.3412.7119.7728.4313.9213.6012.9713.2417.8419.2117.2115.8121.9925.5824.3635.8331.85

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900X3DRyzen 9 7950X3D2004006008001000SE +/- 8.39, N = 15SE +/- 2.04, N = 3SE +/- 11.79, N = 3SE +/- 3.75, N = 2SE +/- 2.55, N = 3SE +/- 1.36, N = 3SE +/- 4.07, N = 2SE +/- 0.32, N = 3SE +/- 5.88, N = 3SE +/- 5.74, N = 3SE +/- 1.22, N = 3SE +/- 7.03, N = 3SE +/- 3.47, N = 3SE +/- 8.14, N = 3SE +/- 1.25, N = 3SE +/- 0.90, N = 3900.47946.12941.321016.73954.34953.801010.19981.07956.08970.481017.66965.37978.23968.411016.711011.571. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

Test: VoiceMark_100

Ryzen 9 7900X: The test run did not produce a result.

Ryzen 9 7950X: The test run did not produce a result.

JPEG-XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL Decoding libjxl 0.10.1CPU Threads: 1Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.56, N = 3SE +/- 0.06, N = 3SE +/- 0.66, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.64, N = 3SE +/- 0.31, N = 3SE +/- 0.92, N = 15SE +/- 0.04, N = 3SE +/- 0.08, N = 380.9678.5885.6888.2699.9483.5787.7576.7981.2386.4888.2479.1181.5887.0884.5582.0386.4181.61

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.039, N = 3SE +/- 0.154, N = 3SE +/- 0.140, N = 5SE +/- 0.101, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.049, N = 3SE +/- 0.017, N = 3SE +/- 0.031, N = 3SE +/- 0.058, N = 3SE +/- 0.062, N = 3SE +/- 0.087, N = 3SE +/- 0.059, N = 3SE +/- 0.107, N = 3SE +/- 0.081, N = 3SE +/- 0.102, N = 3SE +/- 0.168, N = 3SE +/- 0.126, N = 39.26612.99613.69419.30021.81015.66415.34414.64914.99218.50819.60917.83416.66620.47622.50221.46024.99423.1451. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 311.6615.4217.2023.0428.2019.4119.0617.1417.6024.2925.8625.4620.3225.8928.0327.5031.4429.551. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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 2023.03.14Test: bcryptCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 3.06, N = 3SE +/- 13.58, N = 3SE +/- 176.71, N = 7SE +/- 269.63, N = 12SE +/- 164.67, N = 3SE +/- 8.09, N = 3SE +/- 27.79, N = 3SE +/- 7.42, N = 3SE +/- 2.31, N = 3SE +/- 5.57, N = 3SE +/- 2.00, N = 3SE +/- 7.31, N = 3SE +/- 2.33, N = 3SE +/- 8.45, N = 3SE +/- 4.16, N = 3SE +/- 182.78, N = 3SE +/- 27.70, N = 3SE +/- 24.17, N = 399151513720066276713828417672795916343168082358124227225162234032294351593281847572453791. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: scryptCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.78, N = 4SE +/- 0.85, N = 13SE +/- 0.04, N = 3SE +/- 0.81, N = 3SE +/- 0.71, N = 3SE +/- 1.35, N = 5SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 1.54, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.42, N = 3SE +/- 0.31, N = 3SE +/- 0.46, N = 3SE +/- 0.10, N = 3SE +/- 2.60, N = 3SE +/- 0.26, N = 363.21108.81126.52193.07289.43121.69120.34114.22117.55157.93167.84148.32152.48205.84247.64227.90333.45305.771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 8SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 48.2213.1014.7622.7333.2816.0015.6314.9615.2720.5422.0519.7718.2125.0329.1327.5840.7536.47

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60M120M180M240M300MSE +/- 1088039.47, N = 4SE +/- 1245540.71, N = 6SE +/- 1043280.30, N = 10SE +/- 1553587.25, N = 3SE +/- 190991.56, N = 3SE +/- 11547.01, N = 3SE +/- 89876.46, N = 3SE +/- 196666.67, N = 3SE +/- 97010.88, N = 3SE +/- 286724.80, N = 3SE +/- 237790.76, N = 3SE +/- 153006.90, N = 3SE +/- 312321.06, N = 3SE +/- 695006.00, N = 3SE +/- 194622.14, N = 3SE +/- 616612.61, N = 3SE +/- 2301854.32, N = 3SE +/- 1182976.47, N = 3988792501268450001395440001925600002275733331562600001545933331466933331512866672054366672176233332021766671848533332302900002534633332434166672993000002940000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.51, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 337.0137.8435.1032.9829.6536.3434.5539.1636.8735.1633.9437.1436.9634.8334.6235.8834.4236.59

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbodyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1428425670SE +/- 0.55, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 0.38, N = 3SE +/- 0.27, N = 12SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.62, N = 3SE +/- 0.70, N = 4SE +/- 0.50, N = 3SE +/- 0.57, N = 3SE +/- 0.67, N = 3SE +/- 0.60, N = 3SE +/- 0.67, N = 3SE +/- 0.20, N = 3SE +/- 0.44, N = 10SE +/- 0.44, N = 1147.049.643.941.437.958.756.064.960.958.256.863.261.556.557.858.357.158.6

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 512Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90M180M270M360M450MSE +/- 1154545.51, N = 4SE +/- 1403194.21, N = 5SE +/- 1265535.44, N = 9SE +/- 687176.19, N = 3SE +/- 1948335.47, N = 3SE +/- 98657.66, N = 3SE +/- 71724.78, N = 3SE +/- 107289.85, N = 3SE +/- 156773.01, N = 3SE +/- 75055.53, N = 3SE +/- 135030.86, N = 3SE +/- 146401.28, N = 3SE +/- 56075.35, N = 3SE +/- 121974.50, N = 3SE +/- 557882.90, N = 3SE +/- 96436.51, N = 3SE +/- 417252.92, N = 3SE +/- 363455.64, N = 3995020001279980001553277782172933333214433331561500001546566671468533331511433332052400002175900002027600001852833332739766673098800003034700004241000003959700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_templateCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.25, N = 4SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 322.023.320.619.317.421.219.922.821.320.219.922.321.520.220.620.720.220.4

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: MagiCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D150300450600750SE +/- 0.42, N = 3SE +/- 1.90, N = 12SE +/- 0.58, N = 3SE +/- 5.83, N = 3SE +/- 4.22, N = 3SE +/- 1.29, N = 3SE +/- 0.40, N = 3SE +/- 0.63, N = 3SE +/- 0.10, N = 3SE +/- 0.56, N = 3SE +/- 0.60, N = 3SE +/- 0.23, N = 3SE +/- 0.29, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3SE +/- 0.49, N = 3SE +/- 0.61, N = 3SE +/- 0.70, N = 3148.89256.49300.96447.70669.26259.82247.61238.34243.67340.32353.75327.60323.76465.02518.77490.72695.87668.231. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: RingcoinCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8001600240032004000SE +/- 8.70, N = 3SE +/- 11.51, N = 8SE +/- 2.83, N = 3SE +/- 1.17, N = 3SE +/- 34.52, N = 7SE +/- 1.77, N = 3SE +/- 4.22, N = 3SE +/- 2.13, N = 3SE +/- 4.14, N = 3SE +/- 1.97, N = 3SE +/- 0.39, N = 3SE +/- 11.49, N = 3SE +/- 1.55, N = 3SE +/- 0.39, N = 3SE +/- 5.55, N = 3SE +/- 4.28, N = 3SE +/- 2.49, N = 3SE +/- 8.95, N = 3770.101362.881654.432523.433773.541394.521371.191303.021343.661839.471918.081757.261760.252479.782821.372673.233778.663575.451. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

JPEG-XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 100Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.024, N = 3SE +/- 0.141, N = 3SE +/- 0.110, N = 8SE +/- 0.099, N = 3SE +/- 0.342, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.009, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.011, N = 3SE +/- 0.017, N = 3SE +/- 0.036, N = 3SE +/- 0.050, N = 37.39111.96313.21019.14227.78212.95912.65111.87412.28316.56417.28415.70014.59020.72022.65221.56329.57026.8981. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 100Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.027, N = 3SE +/- 0.157, N = 3SE +/- 0.109, N = 8SE +/- 0.027, N = 3SE +/- 0.281, N = 3SE +/- 0.004, N = 3SE +/- 0.015, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.020, N = 3SE +/- 0.011, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.015, N = 3SE +/- 0.013, N = 3SE +/- 0.043, N = 3SE +/- 0.021, N = 37.33311.88913.11019.06227.15512.85012.56311.77212.18116.49917.22815.65714.49620.53922.49621.40029.07226.2851. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 126.30, N = 3SE +/- 296.48, N = 3SE +/- 317.62, N = 3SE +/- 362.03, N = 3SE +/- 634.67, N = 3SE +/- 73.47, N = 4SE +/- 139.78, N = 4SE +/- 469.34, N = 4SE +/- 106.09, N = 4SE +/- 125.07, N = 4SE +/- 72.06, N = 4SE +/- 157.16, N = 4SE +/- 100.73, N = 4SE +/- 690.01, N = 3SE +/- 901.69, N = 13SE +/- 524.83, N = 3SE +/- 592.85, N = 4SE +/- 1102.85, N = 4101215591306270273111718711758411851691590911645341564871616311419271505759856493012782451544601418331. (CC) gcc options: -lSDL2 -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 7SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 312.5416.2217.3322.3925.9420.7020.4618.8119.4224.4325.8923.6421.2126.6828.6027.1833.0529.641. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 32Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D300M600M900M1200M1500MSE +/- 3821667.76, N = 3SE +/- 6483625.99, N = 5SE +/- 5519008.06, N = 9SE +/- 1451818.78, N = 3SE +/- 3501904.24, N = 3SE +/- 1218578.41, N = 3SE +/- 891465.71, N = 3SE +/- 120968.32, N = 3SE +/- 357631.09, N = 3SE +/- 277368.59, N = 3SE +/- 866031.82, N = 3SE +/- 774087.28, N = 3SE +/- 727583.52, N = 3SE +/- 834272.80, N = 3SE +/- 4204891.33, N = 3SE +/- 1266666.67, N = 3SE +/- 1451818.78, N = 3SE +/- 2260530.91, N = 33800766675836160006680200001004866667149810000054272000052686333350074000051660000072013000075344333370164666763887666797452666710647666671063366667148063333313816000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: GarlicoinCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8001600240032004000SE +/- 10.78, N = 3SE +/- 10.70, N = 10SE +/- 2.73, N = 3SE +/- 13.95, N = 3SE +/- 43.02, N = 4SE +/- 2.31, N = 3SE +/- 2.14, N = 3SE +/- 2.21, N = 3SE +/- 5.09, N = 3SE +/- 2.53, N = 3SE +/- 2.57, N = 3SE +/- 0.53, N = 3SE +/- 2.26, N = 3SE +/- 6.36, N = 3SE +/- 1.35, N = 3SE +/- 2.58, N = 3SE +/- 3.95, N = 3SE +/- 4.07, N = 3790.311371.481619.322406.753692.191424.541408.141336.001380.701864.181977.421800.241790.752484.682908.632755.073896.733692.961. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX CaseCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.48, N = 15SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 6SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 15SE +/- 0.26, N = 3SE +/- 0.17, N = 324.8424.8323.0621.7321.9123.1821.7224.0922.5122.4822.0924.5622.4822.4121.9723.1321.9722.531. OpenSCAD version 2021.01

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: x20rCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 12.80, N = 3SE +/- 22.39, N = 10SE +/- 3.11, N = 3SE +/- 71.09, N = 3SE +/- 59.93, N = 3SE +/- 21.55, N = 3SE +/- 18.19, N = 3SE +/- 4.14, N = 3SE +/- 2.67, N = 3SE +/- 3.13, N = 3SE +/- 18.11, N = 3SE +/- 14.64, N = 3SE +/- 8.14, N = 3SE +/- 3.25, N = 3SE +/- 10.10, N = 3SE +/- 0.60, N = 3SE +/- 72.75, N = 3SE +/- 7.68, N = 31705.302842.753318.604949.287483.543087.193155.962962.893049.464167.214403.073894.003999.415595.206486.576043.378745.808145.891. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.21, N = 3SE +/- 0.66, N = 3SE +/- 0.39, N = 4SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 4SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 342.1648.1434.7934.0826.5837.3936.7039.2638.6132.8832.5827.2133.7825.4525.1019.1324.4416.871. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 333.3838.1335.5432.0431.1631.8030.3133.9532.1730.8430.2332.3033.1634.4634.9235.9533.8837.09

Selenium

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D110220330440550SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 0.88, N = 3SE +/- 1.45, N = 3SE +/- 2.03, N = 3SE +/- 1.53, N = 3SE +/- 1.20, N = 3SE +/- 2.85, N = 3SE +/- 2.33, N = 3SE +/- 2.31, N = 3SE +/- 2.31, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 3.18, N = 3SE +/- 4.37, N = 3SE +/- 2.08, N = 3SE +/- 2.91, N = 3SE +/- 3.79, N = 33823964144664914504744114284684764504314574704444744571. chrome 125.0.6422.141

DeepSpeech

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 348.2548.1849.0845.8244.4837.4436.8137.9535.5738.1937.1934.5336.8039.2638.5437.5538.3535.15

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 97.64, N = 15SE +/- 94.40, N = 15SE +/- 74.03, N = 12SE +/- 19.88, N = 3SE +/- 27.22, N = 4SE +/- 15.03, N = 3SE +/- 26.75, N = 3SE +/- 22.09, N = 4SE +/- 36.03, N = 4SE +/- 5.00, N = 4SE +/- 13.74, N = 4SE +/- 5.80, N = 4SE +/- 32.02, N = 4SE +/- 77.30, N = 4SE +/- 26.19, N = 4SE +/- 50.86, N = 5SE +/- 36.58, N = 4SE +/- 102.93, N = 46701.985858.608627.099035.5810353.698505.738620.429178.689392.249602.079559.0910982.7711072.2511852.6911867.5513308.7011239.5312407.211. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 8SE +/- 0.01, N = 7SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 40.410.580.650.911.240.640.640.600.620.790.850.770.730.981.121.051.401.281. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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 2023.03.14Test: BlowfishCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 2.33, N = 3SE +/- 78.21, N = 3SE +/- 175.33, N = 7SE +/- 5.29, N = 3SE +/- 31.63, N = 3SE +/- 10.02, N = 3SE +/- 7.88, N = 3SE +/- 3.76, N = 3SE +/- 3.76, N = 3SE +/- 5.69, N = 3SE +/- 6.17, N = 3SE +/- 12.88, N = 3SE +/- 6.39, N = 3SE +/- 6.35, N = 3SE +/- 6.36, N = 3SE +/- 18.93, N = 3SE +/- 16.76, N = 3SE +/- 37.11, N = 399171508420069279343786517633795116345168092357924210225112235132324350893298547600453181. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 18.16, N = 4SE +/- 56.87, N = 3SE +/- 28.52, N = 3SE +/- 34.65, N = 3SE +/- 74.93, N = 3SE +/- 49.60, N = 4SE +/- 33.13, N = 3SE +/- 26.78, N = 3SE +/- 47.35, N = 3SE +/- 53.33, N = 3SE +/- 59.02, N = 3SE +/- 109.35, N = 4SE +/- 39.42, N = 3SE +/- 98.50, N = 3SE +/- 208.89, N = 3SE +/- 87.70, N = 4SE +/- 137.22, N = 3SE +/- 180.38, N = 33105.602896.263311.984902.906384.366199.504439.523962.714017.376453.226787.1110605.204232.9210736.2011934.4011839.4011169.2012804.901. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 23.28, N = 4SE +/- 24.88, N = 3SE +/- 20.01, N = 3SE +/- 29.43, N = 3SE +/- 65.30, N = 3SE +/- 0.00, N = 4SE +/- 26.78, N = 3SE +/- 21.30, N = 3SE +/- 41.85, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 76.36, N = 4SE +/- 20.39, N = 3SE +/- 0.00, N = 3SE +/- 84.09, N = 3SE +/- 111.92, N = 4SE +/- 71.40, N = 3SE +/- 77.53, N = 32535.872596.743041.274517.036672.354799.923989.483556.823536.275247.915831.018332.124016.479153.349923.939545.5610567.2011010.701. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: Triple SHA-256, OnecoinCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 138.68, N = 3SE +/- 324.65, N = 7SE +/- 8.82, N = 3SE +/- 586.41, N = 3SE +/- 536.75, N = 3SE +/- 75.35, N = 3SE +/- 41.63, N = 3SE +/- 85.44, N = 3SE +/- 5.77, N = 3SE +/- 32.83, N = 3SE +/- 56.08, N = 3SE +/- 184.48, N = 3SE +/- 26.03, N = 3SE +/- 156.45, N = 3SE +/- 37.56, N = 3SE +/- 92.07, N = 3SE +/- 55.08, N = 3SE +/- 114.65, N = 32041035236445836266796730307973135029810308904221344357400204052356807653376135787320818671. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: DeepcoinCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 20.44, N = 4SE +/- 33.52, N = 6SE +/- 2.90, N = 3SE +/- 0.21, N = 3SE +/- 126.38, N = 3SE +/- 9.04, N = 3SE +/- 5.28, N = 3SE +/- 1.16, N = 3SE +/- 3.49, N = 3SE +/- 17.46, N = 3SE +/- 16.21, N = 3SE +/- 2.90, N = 3SE +/- 7.73, N = 3SE +/- 10.61, N = 3SE +/- 32.57, N = 3SE +/- 1.80, N = 3SE +/- 18.00, N = 3SE +/- 54.03, N = 31768.303332.064177.876000.719324.853457.153401.163231.243316.444631.954782.954407.524389.366261.417080.666713.799454.548979.581. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytraceCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.00, N = 3SE +/- 2.25, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 1.73, N = 3SE +/- 1.45, N = 3SE +/- 0.67, N = 3173183162153137182171195185174173189184175173179173175

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1326395265SE +/- 0.33, N = 3SE +/- 0.46, N = 3SE +/- 0.30, N = 7SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 358.3338.5433.5423.4116.7036.0133.8438.9637.9428.6827.5228.5931.1922.6020.2721.1216.6816.98

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 2023.03.14Test: WPA PSKCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 136.69, N = 3SE +/- 11.89, N = 3SE +/- 281.58, N = 6SE +/- 47.11, N = 3SE +/- 99.11, N = 3SE +/- 14.80, N = 3SE +/- 121.23, N = 3SE +/- 55.84, N = 3SE +/- 44.69, N = 3SE +/- 90.21, N = 3SE +/- 84.91, N = 3SE +/- 74.32, N = 3SE +/- 47.55, N = 3SE +/- 44.98, N = 3SE +/- 99.67, N = 3SE +/- 74.96, N = 3SE +/- 98.78, N = 3SE +/- 318.36, N = 3173502080228162352415615363745333035967061451846908922782142796261129641291281215521745831639121. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Selenium

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D110220330440550SE +/- 0.48, N = 3SE +/- 2.07, N = 3SE +/- 3.69, N = 3SE +/- 2.65, N = 3SE +/- 4.20, N = 15SE +/- 0.64, N = 3SE +/- 0.45, N = 3SE +/- 0.17, N = 3SE +/- 2.42, N = 3SE +/- 0.66, N = 3SE +/- 0.87, N = 3SE +/- 1.86, N = 3SE +/- 1.47, N = 3SE +/- 3.93, N = 3SE +/- 4.32, N = 3SE +/- 5.42, N = 15SE +/- 2.11, N = 3SE +/- 5.33, N = 15509.9513.6498.5453.9422.4450.8428.0513.5487.7432.7426.2477.4479.1429.9431.2463.1427.0443.41. firefox 126.0.1

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.12, N = 3SE +/- 0.20, N = 6SE +/- 0.16, N = 14SE +/- 0.29, N = 3SE +/- 0.37, N = 6SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.06, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 412.6519.4121.1530.8539.9024.1423.5522.5723.0129.3731.9328.4026.5734.8239.4236.6650.3145.001. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1326395265SE +/- 0.47, N = 3SE +/- 0.57, N = 3SE +/- 0.49, N = 4SE +/- 0.27, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 359.2747.6144.4232.2323.0430.2631.0331.6430.8724.9523.6924.7327.7020.0918.3318.5516.9116.85

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: Quad SHA-256, PyriteCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D15K30K45K60K75KSE +/- 28.48, N = 3SE +/- 240.45, N = 6SE +/- 85.44, N = 3SE +/- 394.05, N = 3SE +/- 518.73, N = 3SE +/- 12.02, N = 3SE +/- 85.05, N = 3SE +/- 148.36, N = 3SE +/- 108.37, N = 3SE +/- 83.33, N = 3SE +/- 0.00, N = 3SE +/- 52.39, N = 3SE +/- 416.17, N = 3SE +/- 78.60, N = 3SE +/- 16.67, N = 3SE +/- 15.28, N = 3SE +/- 25.17, N = 3SE +/- 444.27, N = 31402324455304404319366103239872408023413240533277334350306733211043257505074722067860637131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 200.49, N = 3SE +/- 188.47, N = 3SE +/- 153.29, N = 3SE +/- 257.12, N = 3SE +/- 648.99, N = 3SE +/- 2.67, N = 3SE +/- 72.35, N = 3SE +/- 4.09, N = 3SE +/- 3.65, N = 3SE +/- 22.61, N = 3SE +/- 26.91, N = 3SE +/- 10.69, N = 3SE +/- 7.54, N = 3SE +/- 8.34, N = 3SE +/- 12.69, N = 3SE +/- 28.43, N = 3SE +/- 24.12, N = 3SE +/- 82.60, N = 317449.7826226.8438586.5740852.8362897.6235260.7235730.6333582.3034595.8545940.0849415.7745313.5742902.9360796.2971383.2067895.2996668.0088876.621. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark that is part of libjpeg-turbo, a JPEG image codec library optimized for SIMD instructions on modern CPU architectures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.32, N = 3SE +/- 1.42, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.40, N = 3SE +/- 0.20, N = 3SE +/- 2.04, N = 3SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.39, N = 3SE +/- 1.23, N = 3SE +/- 3.17, N = 15SE +/- 1.59, N = 3SE +/- 0.38, N = 3252.24250.95269.27286.56324.07313.60331.62290.94307.65325.77333.41305.03311.83328.67319.27328.61334.58321.801. (CC) gcc options: -O3 -rdynamic

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaesCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.44, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 344.648.341.839.435.442.840.545.743.141.440.545.342.840.941.542.340.941.2

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: Blake-2 SCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KSE +/- 8.82, N = 3SE +/- 654.58, N = 3SE +/- 89.69, N = 3SE +/- 475.08, N = 3SE +/- 771.72, N = 3SE +/- 29.06, N = 3SE +/- 80.90, N = 3SE +/- 32.83, N = 3SE +/- 40.55, N = 3SE +/- 20.82, N = 3SE +/- 30.00, N = 3SE +/- 55.08, N = 3SE +/- 12.02, N = 3SE +/- 41.77, N = 3SE +/- 101.71, N = 3SE +/- 49.10, N = 3SE +/- 76.67, N = 3SE +/- 52.92, N = 32916751747607478587013177356623554635252354133749207793072870714871021631152531102231541771499201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D15M30M45M60M75MSE +/- 40834.35, N = 3SE +/- 246054.87, N = 3SE +/- 280525.10, N = 3SE +/- 25783.28, N = 3SE +/- 11170.40, N = 3SE +/- 7637.63, N = 3SE +/- 9261.63, N = 3SE +/- 4725.82, N = 3SE +/- 30369.94, N = 3SE +/- 4255.72, N = 3SE +/- 2333.33, N = 3SE +/- 333.33, N = 3SE +/- 40813.94, N = 3SE +/- 11348.03, N = 3SE +/- 74702.37, N = 3SE +/- 759026.57, N = 3SE +/- 6027.71, N = 3SE +/- 2645.75, N = 35536866754955000589090006286133371221333500440005328133345795000487900005196266753961667491206674935666752833333547336675380900055465000512250001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

WebP Image Encode

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.21150.4230.63450.8461.0575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.690.730.790.870.940.800.850.730.780.830.850.760.780.840.860.810.860.79-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff1. (CC) gcc options: -fvisibility=hidden -O2 -lm

Cpuminer-Opt

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: SkeincoinCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 38.88, N = 3SE +/- 230.29, N = 3SE +/- 3.33, N = 3SE +/- 17.64, N = 3SE +/- 126.67, N = 3SE +/- 30.55, N = 3SE +/- 8.82, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 6.67, N = 3SE +/- 60.00, N = 3SE +/- 102.03, N = 3SE +/- 3.33, N = 3SE +/- 34.64, N = 3SE +/- 78.39, N = 3SE +/- 62.45, N = 3SE +/- 18.56, N = 3SE +/- 26.03, N = 38354.0915970.0019737.0027893.0043907.0017670.0017003.0016040.0016750.0023327.0024180.0021827.0022253.0032090.0035713.0033630.0047723.0045047.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: Myriad-GroestlCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 20.30, N = 3SE +/- 51.60, N = 3SE +/- 69.65, N = 3SE +/- 47.19, N = 3SE +/- 42.56, N = 3SE +/- 3.51, N = 3SE +/- 6.93, N = 3SE +/- 8.20, N = 3SE +/- 10.33, N = 3SE +/- 2.28, N = 3SE +/- 6.83, N = 3SE +/- 8.88, N = 3SE +/- 0.67, N = 3SE +/- 22.34, N = 3SE +/- 25.67, N = 3SE +/- 2.08, N = 3SE +/- 29.63, N = 3SE +/- 3.33, N = 32544.804614.255914.998552.2913293.004517.144375.204231.694336.405943.746205.425775.815705.528090.879149.228646.6212313.0011573.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 24.3Algorithm: LBC, LBRY CreditsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4K8K12K16K20KSE +/- 19.27, N = 3SE +/- 20.73, N = 3SE +/- 1.43, N = 3SE +/- 25.09, N = 3SE +/- 34.64, N = 3SE +/- 2.78, N = 3SE +/- 38.70, N = 3SE +/- 7.41, N = 3SE +/- 10.01, N = 3SE +/- 1.58, N = 3SE +/- 11.08, N = 3SE +/- 1.97, N = 3SE +/- 38.74, N = 3SE +/- 5.77, N = 3SE +/- 35.12, N = 3SE +/- 35.12, N = 3SE +/- 113.48, N = 3SE +/- 111.70, N = 33038.815733.866864.539852.7415200.006297.166077.645773.025942.588353.258574.067931.827853.5211560.0012680.0012020.0016847.0016327.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lgmp

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 8 - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1530456075SE +/- 0.22, N = 3SE +/- 0.15, N = 13SE +/- 0.28, N = 13SE +/- 0.08, N = 4SE +/- 0.45, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 4SE +/- 0.18, N = 5SE +/- 0.22, N = 516.7123.5926.3638.2051.1431.8331.5829.8130.3839.7542.5039.3835.4948.7356.3853.2969.0863.151. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 1080p - Video Preset: SlowCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1224364860SE +/- 0.12, N = 3SE +/- 0.22, N = 5SE +/- 0.15, N = 13SE +/- 0.08, N = 3SE +/- 0.12, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.01, N = 4SE +/- 0.08, N = 5SE +/- 0.05, N = 413.3120.5821.8932.3941.8823.5223.2421.9822.5631.0633.3429.7827.7136.7541.7139.0953.6348.03

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 1080p - Video Preset: MediumCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1326395265SE +/- 0.15, N = 3SE +/- 0.20, N = 7SE +/- 0.19, N = 14SE +/- 0.12, N = 3SE +/- 0.19, N = 4SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 5SE +/- 0.06, N = 514.4822.2723.9535.2345.9125.6625.3423.9124.6233.7436.1832.3830.1840.2645.7342.7658.9252.84

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: floatCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1326395265SE +/- 0.03, N = 3SE +/- 0.29, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.59, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 0.37, N = 347.150.743.543.436.251.048.756.152.649.248.153.852.549.349.551.549.349.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlibCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.14, N = 6SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.9011.6010.209.628.5714.6013.7015.8014.9014.1013.6014.9014.8013.9013.8014.5013.7013.90

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compileCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.03, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.35, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 381.686.576.572.164.473.068.477.472.869.868.575.072.469.268.971.268.769.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: goCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.03, N = 3SE +/- 0.47, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.58, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.67, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.40, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 379.483.974.370.263.278.374.384.379.676.775.282.680.675.274.977.674.675.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaosCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1020304050SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.38, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.38, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 336.639.234.232.429.339.637.642.639.938.138.041.639.837.938.539.137.837.7

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1530456075SE +/- 0.19, N = 3SE +/- 0.19, N = 9SE +/- 0.26, N = 14SE +/- 0.15, N = 4SE +/- 0.42, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 5SE +/- 0.05, N = 515.7324.0626.4938.6950.1629.9229.1028.1228.7736.4739.9035.4533.2643.6949.6946.2965.9258.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

JPEG-XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL Decoding libjxl 0.10.1CPU Threads: AllCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D140280420560700SE +/- 0.40, N = 3SE +/- 0.35, N = 3SE +/- 2.35, N = 15SE +/- 1.38, N = 3SE +/- 0.60, N = 4SE +/- 0.86, N = 3SE +/- 0.28, N = 3SE +/- 0.43, N = 3SE +/- 1.61, N = 3SE +/- 0.93, N = 3SE +/- 0.50, N = 3SE +/- 0.50, N = 3SE +/- 0.28, N = 3SE +/- 0.84, N = 3SE +/- 0.96, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 3.81, N = 3325.53413.06369.23465.48650.84393.13383.16361.85373.53428.87447.80413.33395.31199.00202.89198.47402.38382.99

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.37, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.42, N = 3SE +/- 0.15, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 378.879.973.969.863.178.574.284.979.976.075.582.979.876.078.178.274.675.8

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.39, N = 3SE +/- 0.72, N = 4SE +/- 0.01, N = 3SE +/- 1.01, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 4SE +/- 0.06, N = 3SE +/- 0.36, N = 4SE +/- 0.30, N = 489.20146.15178.96217.03335.42146.99149.14134.10138.29190.94205.61184.83171.85253.30296.91277.30402.16366.141. (CXX) g++ options: -O3 -flto -pthread

DuckDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 1.0Benchmark: ClickbenchCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 330.6122.4820.7117.4315.8821.2621.9323.3322.6718.4617.8218.4920.8916.4115.3115.7014.3914.581. (CXX) g++ options: -O3 -ldl

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FasterCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1224364860SE +/- 0.25, N = 5SE +/- 0.23, N = 15SE +/- 0.34, N = 13SE +/- 0.14, N = 4SE +/- 0.35, N = 4SE +/- 0.04, N = 4SE +/- 0.10, N = 4SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.08, N = 4SE +/- 0.05, N = 4SE +/- 0.17, N = 4SE +/- 0.12, N = 4SE +/- 0.06, N = 4SE +/- 0.08, N = 424.1533.1234.4847.7051.0538.0037.7335.7836.5444.3246.8043.3540.2146.2850.6748.7454.5350.641. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Selenium

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.75, N = 3SE +/- 1.21, N = 3SE +/- 1.42, N = 3SE +/- 0.24, N = 4SE +/- 0.73, N = 4SE +/- 0.46, N = 4SE +/- 0.21, N = 4SE +/- 1.48, N = 4SE +/- 0.46, N = 4SE +/- 1.08, N = 4SE +/- 1.08, N = 3SE +/- 0.37, N = 4SE +/- 0.39, N = 4SE +/- 1.19, N = 4SE +/- 1.76, N = 4SE +/- 4.57, N = 3SE +/- 1.00, N = 4SE +/- 3.55, N = 5429.8421.8393.6366.1320.4354.4336.1386.1365.1341.2332.2370.2360.3337.4339.9356.5334.4355.31. chrome 125.0.6422.141

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 0.95, N = 5SE +/- 15.87, N = 12SE +/- 10.99, N = 15SE +/- 9.30, N = 15SE +/- 0.10, N = 4SE +/- 0.43, N = 6SE +/- 1.18, N = 6SE +/- 0.15, N = 6SE +/- 0.35, N = 6SE +/- 0.12, N = 6SE +/- 0.20, N = 6SE +/- 0.18, N = 6SE +/- 0.05, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.00, N = 5SE +/- 12.93, N = 15SE +/- 0.03, N = 4579.0935.8929.31275.11373.81206.21201.81206.21206.11609.71610.31610.41200.11559.81667.51559.81732.31698.0MIN: 417.9 / MAX: 581.4MIN: 565.7 / MAX: 1016.5MIN: 489.9 / MAX: 1006.7MIN: 707.6 / MAX: 1299.9MIN: 926.2 / MAX: 1373.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.6 / MAX: 1207-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 762.9 / MAX: 1205-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.2 / MAX: 1206.5-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.3 / MAX: 1206.7-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1018.4 / MAX: 1610.1-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1018.5 / MAX: 1611-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1018.7 / MAX: 1611.1-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 848.6 / MAX: 1200.2-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 955.1 / MAX: 1559.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1091.5 / MAX: 1667.6-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 955.1-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1132.1 / MAX: 1801-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1132.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

7-Zip Compression

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Decompression RatingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 6.36, N = 3SE +/- 432.67, N = 3SE +/- 2147.84, N = 3SE +/- 275.51, N = 3SE +/- 1220.99, N = 15SE +/- 88.12, N = 3SE +/- 57.44, N = 3SE +/- 20.92, N = 3SE +/- 65.97, N = 3SE +/- 57.85, N = 3SE +/- 57.95, N = 3SE +/- 35.71, N = 3SE +/- 103.12, N = 3SE +/- 54.78, N = 3SE +/- 144.71, N = 3SE +/- 59.05, N = 3SE +/- 229.54, N = 3SE +/- 105.09, N = 33020853877637599231314461167940712296332464984898939353888150845861214771368351324591845381776931. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Compression RatingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 324.66, N = 3SE +/- 466.82, N = 3SE +/- 1261.53, N = 3SE +/- 520.76, N = 3SE +/- 1169.68, N = 15SE +/- 9.53, N = 3SE +/- 141.47, N = 3SE +/- 136.38, N = 3SE +/- 142.69, N = 3SE +/- 164.79, N = 3SE +/- 162.13, N = 3SE +/- 77.53, N = 3SE +/- 167.68, N = 3SE +/- 198.37, N = 3SE +/- 111.20, N = 3SE +/- 404.61, N = 3SE +/- 280.06, N = 3SE +/- 370.77, N = 3511998239196179126641179328871648995482295840271091971115211116201040121440601507191550921789841860991. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.47, N = 4SE +/- 0.63, N = 5SE +/- 0.90, N = 15SE +/- 1.08, N = 6SE +/- 1.76, N = 15SE +/- 0.59, N = 8SE +/- 0.68, N = 5SE +/- 0.60, N = 7SE +/- 0.64, N = 6SE +/- 0.62, N = 9SE +/- 0.72, N = 7SE +/- 0.65, N = 9SE +/- 0.55, N = 10SE +/- 0.71, N = 12SE +/- 0.70, N = 15SE +/- 0.66, N = 15SE +/- 0.93, N = 15SE +/- 0.91, N = 1551.3773.0291.40108.32144.6366.6564.9963.8565.0478.1280.5879.3972.90100.76104.61106.73119.91119.831. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case SlimCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.28, N = 15SE +/- 0.17, N = 4SE +/- 0.11, N = 4SE +/- 0.13, N = 4SE +/- 0.13, N = 4SE +/- 0.14, N = 4SE +/- 0.12, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.17, N = 4SE +/- 0.19, N = 15SE +/- 0.14, N = 4SE +/- 0.04, N = 416.7216.5815.5314.6113.6315.2614.4116.0915.2715.0814.4616.2914.9514.6714.8614.8714.5715.701. OpenSCAD version 2021.01

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.26, N = 4SE +/- 0.26, N = 13SE +/- 0.48, N = 15SE +/- 0.34, N = 4SE +/- 0.27, N = 5SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 5SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.06, N = 5SE +/- 0.05, N = 5SE +/- 0.03, N = 5SE +/- 0.07, N = 6SE +/- 0.09, N = 622.0233.3836.8252.0971.1040.7539.4838.4339.2348.9353.5747.5644.7756.4963.8359.0884.8475.771. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6K12K18K24K30KSE +/- 5.54, N = 3SE +/- 59.80, N = 3SE +/- 111.66, N = 3SE +/- 46.26, N = 3SE +/- 106.99, N = 4SE +/- 9.81, N = 3SE +/- 4.38, N = 3SE +/- 12.82, N = 3SE +/- 14.33, N = 3SE +/- 5.89, N = 3SE +/- 6.98, N = 3SE +/- 28.74, N = 3SE +/- 9.63, N = 3SE +/- 35.85, N = 3SE +/- 15.47, N = 3SE +/- 249.76, N = 7SE +/- 39.24, N = 3SE +/- 113.51, N = 412888.4812009.0518025.6116660.4023692.5312214.9612316.6411512.5811567.6212280.0812327.1217244.3311596.4220626.6620661.1627038.2920797.7827315.651. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Selenium

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 6SE +/- 0.01, N = 6SE +/- 0.05, N = 6SE +/- 0.04, N = 6SE +/- 0.04, N = 3SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.05, N = 6SE +/- 0.02, N = 6SE +/- 0.06, N = 6SE +/- 0.01, N = 6SE +/- 0.07, N = 6SE +/- 0.07, N = 6SE +/- 0.02, N = 6SE +/- 0.01, N = 6SE +/- 0.02, N = 619.0618.4517.7016.1414.6521.4818.8019.2618.0821.0119.0220.7717.9721.0718.3618.9818.5019.151. chrome 125.0.6422.141

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.58, N = 5SE +/- 0.72, N = 10SE +/- 1.39, N = 15SE +/- 0.82, N = 15SE +/- 3.07, N = 15SE +/- 0.67, N = 10SE +/- 0.67, N = 10SE +/- 0.67, N = 10SE +/- 0.72, N = 9SE +/- 0.66, N = 15SE +/- 0.73, N = 15SE +/- 0.82, N = 6SE +/- 0.59, N = 15SE +/- 1.11, N = 15SE +/- 1.33, N = 15SE +/- 0.96, N = 15SE +/- 2.51, N = 15SE +/- 2.11, N = 1559.4594.92114.42140.30181.2689.2487.2185.4986.66110.93116.41112.96101.19134.22142.63144.89169.72168.741. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.287, N = 5SE +/- 0.198, N = 7SE +/- 0.185, N = 12SE +/- 0.042, N = 4SE +/- 0.091, N = 5SE +/- 0.085, N = 4SE +/- 0.018, N = 4SE +/- 0.033, N = 4SE +/- 0.009, N = 4SE +/- 0.032, N = 4SE +/- 0.005, N = 4SE +/- 0.033, N = 4SE +/- 0.033, N = 4SE +/- 0.019, N = 5SE +/- 0.012, N = 5SE +/- 0.013, N = 5SE +/- 0.002, N = 5SE +/- 0.005, N = 525.90321.12519.55614.61910.05013.63514.46114.34114.03511.34110.80611.26712.6539.2188.4848.5978.0007.878

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 325.8425.9623.9222.3020.7025.3724.3227.2725.7324.3323.4825.7125.7925.0225.3925.6424.8026.23

Ogg Audio Encoding

This test times how long it takes to encode a sample WAV file to Ogg format using the reference Xiph.org tools/libraries. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To OggCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02, N = 4SE +/- 0.38, N = 12SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.27, N = 15SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.16, N = 15SE +/- 0.12, N = 4SE +/- 0.01, N = 413.8515.3013.0112.2111.9512.9712.1113.9713.1312.5212.0813.5813.0012.4212.5612.3812.2012.491. (CC) gcc options: -O2 -ffast-math -fsigned-char

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 5 - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.28, N = 5SE +/- 0.29, N = 9SE +/- 0.28, N = 15SE +/- 0.05, N = 4SE +/- 0.26, N = 5SE +/- 0.03, N = 4SE +/- 0.06, N = 4SE +/- 0.01, N = 4SE +/- 0.04, N = 4SE +/- 0.06, N = 4SE +/- 0.04, N = 5SE +/- 0.07, N = 4SE +/- 0.02, N = 4SE +/- 0.09, N = 5SE +/- 0.11, N = 5SE +/- 0.02, N = 5SE +/- 0.12, N = 6SE +/- 0.09, N = 525.9435.3336.8047.1156.9745.3245.3841.4542.4253.5156.8052.0647.2261.7468.4163.5377.2669.971. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

dav1d

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Summer Nature 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 1.86, N = 3SE +/- 1.48, N = 15SE +/- 3.72, N = 15SE +/- 0.99, N = 5SE +/- 2.48, N = 5SE +/- 0.32, N = 4SE +/- 0.68, N = 4SE +/- 0.07, N = 4SE +/- 0.23, N = 4SE +/- 0.49, N = 5SE +/- 1.13, N = 5SE +/- 0.37, N = 5SE +/- 0.20, N = 4SE +/- 1.39, N = 5SE +/- 2.32, N = 5SE +/- 1.12, N = 5SE +/- 2.02, N = 5SE +/- 1.24, N = 5152.25221.41250.49348.56399.28269.21257.39257.34261.65330.73342.90359.91298.87340.94352.81366.57400.75402.191. (CC) gcc options: -pthread

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.51, N = 4SE +/- 0.42, N = 5SE +/- 0.67, N = 15SE +/- 0.61, N = 15SE +/- 0.69, N = 15SE +/- 0.72, N = 15SE +/- 0.49, N = 15SE +/- 0.68, N = 7SE +/- 0.49, N = 5SE +/- 0.41, N = 6SE +/- 0.49, N = 6SE +/- 0.87, N = 15SE +/- 0.32, N = 5SE +/- 0.40, N = 6SE +/- 0.77, N = 6SE +/- 0.63, N = 6SE +/- 0.43, N = 6SE +/- 0.24, N = 655.1572.5878.0381.7465.3178.1475.7072.9475.3590.7091.3093.8876.8491.6890.4791.3893.5991.421. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache TomcatCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 39.49, N = 3SE +/- 15.86, N = 3SE +/- 14.19, N = 3SE +/- 28.29, N = 3SE +/- 23.96, N = 4SE +/- 10.58, N = 3SE +/- 7.64, N = 3SE +/- 1.20, N = 3SE +/- 1.33, N = 3SE +/- 1.20, N = 3SE +/- 10.26, N = 3SE +/- 2.60, N = 3SE +/- 7.23, N = 3SE +/- 4.52, N = 4SE +/- 3.63, N = 4SE +/- 6.45, N = 4SE +/- 2.53, N = 4SE +/- 5.17, N = 41563366006626624438468732869988508822658265206579659344934435449833683404

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.114.012.311.510.412.411.713.312.412.011.713.112.511.911.912.411.812.0

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 14SE +/- 0.06, N = 4SE +/- 0.09, N = 5SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 5SE +/- 0.08, N = 55.057.899.1012.3918.248.719.198.188.4611.2612.0511.0710.9012.8414.2213.6218.0017.31MIN: 4.76 / MAX: 5.12MIN: 7.37 / MAX: 8.21MIN: 8.27 / MAX: 10.53MIN: 11.75 / MAX: 12.72MIN: 17.39 / MAX: 19.05MIN: 8.35 / MAX: 8.88MIN: 8.65 / MAX: 9.37MIN: 7.76 / MAX: 8.24MIN: 8.03 / MAX: 8.53MIN: 10.61 / MAX: 11.5MIN: 11.26 / MAX: 12.29MIN: 10.46 / MAX: 11.25MIN: 10.21 / MAX: 11MIN: 11.96 / MAX: 12.96MIN: 13.14 / MAX: 14.45MIN: 12.61 / MAX: 13.78MIN: 16.24 / MAX: 18.33MIN: 15.78 / MAX: 17.8

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6K12K18K24K30KSE +/- 29.61, N = 3SE +/- 65.90, N = 3SE +/- 175.93, N = 9SE +/- 18.32, N = 3SE +/- 250.06, N = 4SE +/- 17.48, N = 3SE +/- 96.74, N = 3SE +/- 149.99, N = 3SE +/- 158.90, N = 3SE +/- 42.81, N = 3SE +/- 83.01, N = 3SE +/- 40.66, N = 3SE +/- 31.35, N = 3SE +/- 58.35, N = 3SE +/- 96.01, N = 3SE +/- 132.90, N = 3SE +/- 11.30, N = 4SE +/- 19.26, N = 416197.5813717.1521317.9721347.5028989.8417775.1918133.5716342.0216806.3724264.2524553.4623127.5022931.2024817.8025592.1724724.0427683.3427604.961. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 8.62, N = 5SE +/- 44.34, N = 15SE +/- 96.55, N = 15SE +/- 97.97, N = 15SE +/- 159.88, N = 15SE +/- 12.80, N = 7SE +/- 15.52, N = 7SE +/- 39.75, N = 6SE +/- 11.18, N = 6SE +/- 10.44, N = 7SE +/- 20.07, N = 7SE +/- 51.96, N = 7SE +/- 11.52, N = 6SE +/- 46.07, N = 6SE +/- 73.22, N = 14SE +/- 21.88, N = 7SE +/- 72.38, N = 6SE +/- 111.46, N = 82687.73918.94542.85755.87299.55500.05794.55273.55496.27198.37749.47395.16248.910432.511012.011019.413524.313094.5-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database EngineCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8001600240032004000SE +/- 15.34, N = 3SE +/- 3.18, N = 3SE +/- 6.69, N = 3SE +/- 14.62, N = 3SE +/- 13.30, N = 3SE +/- 16.83, N = 3SE +/- 9.24, N = 3SE +/- 8.65, N = 3SE +/- 14.84, N = 3SE +/- 13.93, N = 3SE +/- 11.70, N = 3SE +/- 22.85, N = 4SE +/- 13.97, N = 3SE +/- 10.84, N = 3SE +/- 11.86, N = 3SE +/- 24.66, N = 3SE +/- 8.50, N = 3SE +/- 20.84, N = 3375925322233191717822330241025332445190018401843211518011759170916561639

Selenium

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60120180240300SE +/- 0.53, N = 5SE +/- 1.36, N = 5SE +/- 0.87, N = 5SE +/- 1.53, N = 15SE +/- 1.56, N = 15SE +/- 0.08, N = 4SE +/- 0.08, N = 4SE +/- 0.22, N = 4SE +/- 0.14, N = 4SE +/- 0.17, N = 4SE +/- 0.02, N = 4SE +/- 0.05, N = 4SE +/- 0.17, N = 4SE +/- 0.07, N = 4SE +/- 1.24, N = 5SE +/- 0.07, N = 4SE +/- 0.20, N = 5SE +/- 2.37, N = 15228.02223.58213.56197.55175.17245.20231.38256.29240.88235.86226.75250.48237.35231.34221.91245.26220.07231.471. chrome 125.0.6422.141

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D130260390520650SE +/- 1.03, N = 4SE +/- 0.41, N = 4SE +/- 0.55, N = 5SE +/- 0.24, N = 5SE +/- 0.40, N = 5SE +/- 3.54, N = 4SE +/- 0.48, N = 4SE +/- 0.75, N = 4SE +/- 2.22, N = 4SE +/- 1.08, N = 4SE +/- 2.66, N = 4SE +/- 1.83, N = 4SE +/- 1.55, N = 4SE +/- 1.65, N = 4SE +/- 1.71, N = 4SE +/- 9.01, N = 15SE +/- 5.41, N = 4SE +/- 5.67, N = 15492493462434390561529592555539537602553551556560549573

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_pythonCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 1.33, N = 3SE +/- 1.15, N = 3175184164154138171161184173164163176173162165167162164

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.247, N = 3SE +/- 0.041, N = 3SE +/- 0.171, N = 12SE +/- 0.035, N = 3SE +/- 0.136, N = 4SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.022, N = 3SE +/- 0.018, N = 3SE +/- 0.005, N = 4SE +/- 0.010, N = 4SE +/- 0.003, N = 4SE +/- 0.005, N = 4SE +/- 0.004, N = 5SE +/- 0.008, N = 5SE +/- 0.004, N = 5SE +/- 0.004, N = 7SE +/- 0.005, N = 640.91125.09823.92316.98112.32517.00816.87818.27217.76013.26512.10413.54714.72610.2658.4909.1736.2816.9961. (CXX) g++ options: -O3

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 1.smt2Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.06, N = 4SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 4SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.49, N = 15SE +/- 0.10, N = 3SE +/- 0.01, N = 420.9120.8418.4217.6113.9618.5317.8422.3621.5718.5917.7714.0221.9418.0618.4016.9017.6913.601. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 313.113.112.211.610.412.411.713.212.412.011.713.012.411.811.912.111.712.0

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput ThreadCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.68, N = 4SE +/- 0.00, N = 3SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 7.03, N = 15SE +/- 0.50, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4129.0128.9128.7129.1182.0183.4181.9129.5183.2183.4183.3161.8182.1183.3183.4183.3183.3183.4MIN: 105.1 / MAX: 129.2MIN: 105.1 / MAX: 129.3MIN: 105.1MIN: 105.1 / MAX: 129.4MIN: 105.1-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 104 / MAX: 183.5-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.7-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.7 / MAX: 183.3-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9 / MAX: 183.5-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8 / MAX: 183.4-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8 / MAX: 183.3-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 103.7 / MAX: 183.5-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.91. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

Selenium

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60120180240300SE +/- 0.38, N = 4SE +/- 0.06, N = 4SE +/- 0.16, N = 4SE +/- 1.58, N = 4SE +/- 1.99, N = 5SE +/- 0.12, N = 4SE +/- 0.23, N = 4SE +/- 0.30, N = 4SE +/- 0.09, N = 4SE +/- 0.10, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 4SE +/- 0.12, N = 4SE +/- 0.47, N = 4SE +/- 3.13, N = 4SE +/- 2.53, N = 15SE +/- 1.70, N = 4SE +/- 2.48, N = 15276.1275.4259.2244.1219.4265.1250.5286.1268.8255.3246.7269.9264.9251.8253.2251.5247.5246.71. firefox 126.0.1

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.31, N = 3SE +/- 0.36, N = 8SE +/- 0.35, N = 15SE +/- 0.17, N = 5SE +/- 0.28, N = 5SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 5SE +/- 0.06, N = 5SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.10, N = 5SE +/- 0.09, N = 5SE +/- 0.06, N = 5SE +/- 0.08, N = 6SE +/- 0.03, N = 627.3241.2641.1253.6363.1445.8146.2742.3743.5360.3764.4257.2254.8064.6370.9665.0390.1780.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.35, N = 3SE +/- 0.33, N = 10SE +/- 0.37, N = 15SE +/- 0.16, N = 5SE +/- 0.07, N = 5SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.05, N = 5SE +/- 0.03, N = 5SE +/- 0.06, N = 6SE +/- 0.03, N = 5SE +/- 0.09, N = 6SE +/- 0.11, N = 628.2642.5942.8355.6766.1647.1647.6443.5844.7462.2766.3458.9056.4366.7873.4366.9393.2283.161. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 5SE +/- 0.06, N = 4SE +/- 0.09, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.09, N = 3SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.01, N = 424.4321.2516.3315.8511.6120.5220.2122.7822.5319.1319.0414.4021.6614.9614.9312.8614.6812.591. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 320.8121.5019.8818.5216.7921.5120.5423.0821.7420.8320.0721.9221.9720.6520.6521.4120.2321.60

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.09, N = 5SE +/- 0.06, N = 5SE +/- 0.01, N = 5SE +/- 0.08, N = 513.3913.6812.5712.0410.6612.3411.5513.2712.4611.9011.4912.7512.3611.8011.7012.1511.5412.161. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.73, N = 5SE +/- 0.16, N = 6SE +/- 0.86, N = 7SE +/- 0.92, N = 6SE +/- 1.22, N = 15SE +/- 0.14, N = 6SE +/- 1.46, N = 15SE +/- 0.89, N = 15SE +/- 0.77, N = 15SE +/- 0.17, N = 7SE +/- 0.21, N = 7SE +/- 0.11, N = 7SE +/- 0.07, N = 6SE +/- 0.54, N = 6SE +/- 0.19, N = 6SE +/- 0.44, N = 6SE +/- 0.82, N = 6SE +/- 0.80, N = 1573.4090.6898.6498.6180.9499.0593.6692.3596.10111.81111.75122.6099.76106.04106.02109.05104.19101.141. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 1080p - Video Preset: Very FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.36, N = 5SE +/- 0.37, N = 15SE +/- 0.82, N = 15SE +/- 0.11, N = 6SE +/- 1.08, N = 7SE +/- 0.03, N = 5SE +/- 0.06, N = 5SE +/- 0.02, N = 5SE +/- 0.04, N = 5SE +/- 0.06, N = 6SE +/- 0.09, N = 6SE +/- 0.04, N = 6SE +/- 0.06, N = 5SE +/- 0.06, N = 6SE +/- 0.09, N = 7SE +/- 0.06, N = 7SE +/- 0.07, N = 8SE +/- 0.08, N = 832.7852.3559.4681.43116.2659.4759.0155.9857.3175.8781.7672.9767.7889.81102.7696.27142.79128.22

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 320.9920.9519.3417.9616.7020.0019.1421.4720.2219.4618.7520.4820.5320.2720.3520.7020.1521.38

dav1d

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Chimera 1080p 10-bitCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 6.08, N = 3SE +/- 5.34, N = 6SE +/- 4.62, N = 9SE +/- 0.26, N = 4SE +/- 1.50, N = 4SE +/- 4.84, N = 4SE +/- 5.83, N = 4SE +/- 0.28, N = 4SE +/- 0.62, N = 4SE +/- 0.54, N = 5SE +/- 0.65, N = 5SE +/- 1.16, N = 5SE +/- 0.48, N = 4SE +/- 2.56, N = 4SE +/- 0.73, N = 5SE +/- 1.60, N = 4SE +/- 0.99, N = 5SE +/- 0.58, N = 5447.43544.96557.39631.13619.98758.15748.15706.55721.25837.83868.94908.69754.14778.19794.70779.01861.27820.831. (CC) gcc options: -pthread

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D7001400210028003500SE +/- 12.21, N = 15SE +/- 0.52, N = 6SE +/- 14.12, N = 15SE +/- 2.59, N = 7SE +/- 38.74, N = 15SE +/- 9.69, N = 6SE +/- 9.29, N = 6SE +/- 11.35, N = 5SE +/- 7.25, N = 14SE +/- 12.20, N = 7SE +/- 12.81, N = 7SE +/- 32.68, N = 15SE +/- 10.86, N = 6SE +/- 11.29, N = 8SE +/- 17.20, N = 15SE +/- 17.23, N = 8SE +/- 20.16, N = 9SE +/- 14.62, N = 9898.411101.961174.631763.083092.671151.031162.561049.721092.691454.021566.331415.961410.332081.652266.242187.003023.512921.631. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

LibRaw

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

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 4SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.42, N = 3SE +/- 0.31, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 3SE +/- 0.14, N = 354.2156.0264.3765.8277.8560.8261.1656.4159.4968.1970.1364.9659.0965.8867.6464.0271.1265.931. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

WebP Image Encode

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.4Encode Settings: Quality 100, LosslessCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.54451.0891.63352.1782.7225SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 15SE +/- 0.02, N = 5SE +/- 0.02, N = 41.871.811.992.172.422.052.201.912.032.122.211.972.062.142.112.142.202.09-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff1. (CC) gcc options: -fvisibility=hidden -O2 -lm

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.016, N = 5SE +/- 0.026, N = 5SE +/- 0.026, N = 5SE +/- 0.014, N = 5SE +/- 0.173, N = 15SE +/- 0.006, N = 5SE +/- 0.008, N = 5SE +/- 0.005, N = 5SE +/- 0.012, N = 5SE +/- 0.013, N = 5SE +/- 0.008, N = 5SE +/- 0.020, N = 5SE +/- 0.028, N = 5SE +/- 0.028, N = 5SE +/- 0.022, N = 5SE +/- 0.126, N = 15SE +/- 0.024, N = 5SE +/- 0.009, N = 59.7969.9869.1968.8128.14810.0129.38910.71610.0889.6639.36210.38310.0489.5349.34610.0809.34510.237

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.39, N = 3SE +/- 0.46, N = 4SE +/- 0.52, N = 15SE +/- 0.50, N = 5SE +/- 0.60, N = 5SE +/- 0.06, N = 5SE +/- 0.07, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 5SE +/- 0.19, N = 5SE +/- 0.06, N = 5SE +/- 0.11, N = 5SE +/- 0.05, N = 5SE +/- 0.10, N = 5SE +/- 0.12, N = 5SE +/- 0.16, N = 6SE +/- 0.06, N = 539.6652.2255.3767.4872.3565.4263.7258.9860.6178.7183.7078.5966.6379.0484.0080.6294.5885.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 14.38, N = 5SE +/- 0.00, N = 5SE +/- 35.40, N = 6SE +/- 28.45, N = 6SE +/- 43.72, N = 10SE +/- 92.25, N = 6SE +/- 50.58, N = 6SE +/- 67.19, N = 5SE +/- 42.97, N = 15SE +/- 27.96, N = 13SE +/- 19.93, N = 6SE +/- 23.48, N = 15SE +/- 83.03, N = 5SE +/- 147.27, N = 6SE +/- 96.64, N = 6SE +/- 82.01, N = 15SE +/- 45.87, N = 6SE +/- 88.95, N = 73081.934590.625528.946684.859443.565554.845607.673545.983572.964084.104149.929837.853395.455892.365796.759895.466146.1011438.501. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 9.39, N = 5SE +/- 27.55, N = 5SE +/- 27.10, N = 6SE +/- 31.17, N = 6SE +/- 52.07, N = 10SE +/- 21.17, N = 6SE +/- 19.97, N = 6SE +/- 9.87, N = 5SE +/- 15.04, N = 15SE +/- 22.53, N = 13SE +/- 17.60, N = 6SE +/- 73.72, N = 15SE +/- 11.73, N = 5SE +/- 24.49, N = 6SE +/- 32.71, N = 6SE +/- 59.11, N = 15SE +/- 28.35, N = 6SE +/- 27.05, N = 72067.372864.033322.394402.036865.783055.292611.112126.832169.653346.103308.008330.402398.935024.305088.745788.286006.457169.061. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.01, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 4SE +/- 0.25, N = 5SE +/- 0.01, N = 3SE +/- 0.21, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 4SE +/- 0.13, N = 5SE +/- 0.02, N = 4SE +/- 0.05, N = 5SE +/- 0.43, N = 538.5360.3573.9989.56136.7957.7057.9754.1055.4274.9780.6972.0368.7999.07116.52108.70158.57142.891. (CXX) g++ options: -O3 -flto -pthread

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400K800K1200K1600K2000KSE +/- 2895.59, N = 4SE +/- 2008.24, N = 4SE +/- 2526.86, N = 4SE +/- 2155.69, N = 4SE +/- 1645.49, N = 4SE +/- 11199.19, N = 3SE +/- 9676.35, N = 3SE +/- 4419.43, N = 3SE +/- 7923.69, N = 3SE +/- 8404.84, N = 3SE +/- 14566.64, N = 3SE +/- 10902.02, N = 3SE +/- 7697.71, N = 3SE +/- 14752.40, N = 3SE +/- 6929.21, N = 3SE +/- 14716.11, N = 3SE +/- 10378.90, N = 8SE +/- 6829.19, N = 3129326913020121383224146753616382041107821119542110873781165326116802711830181105785115179811841171194525120015711866981122259

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 1080p - Video Preset: Super FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.42, N = 4SE +/- 0.40, N = 15SE +/- 0.87, N = 15SE +/- 0.13, N = 6SE +/- 0.96, N = 9SE +/- 0.04, N = 5SE +/- 0.05, N = 5SE +/- 0.06, N = 5SE +/- 0.06, N = 5SE +/- 0.05, N = 6SE +/- 0.08, N = 6SE +/- 0.05, N = 6SE +/- 0.03, N = 5SE +/- 0.05, N = 7SE +/- 0.11, N = 7SE +/- 0.04, N = 7SE +/- 0.09, N = 8SE +/- 0.13, N = 834.3954.9863.0286.41121.1462.1061.5458.3759.8280.1086.4976.6871.6497.53111.54105.20150.51135.06

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.36Test: unsharp-maskCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.08, N = 4SE +/- 0.02, N = 4SE +/- 0.09, N = 4SE +/- 0.03, N = 412.4813.4913.0012.1311.9413.1012.4314.0413.3612.7912.3013.2813.4314.5914.5515.0414.8615.23

Selenium

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 9.11, N = 4SE +/- 6.88, N = 4SE +/- 11.65, N = 4SE +/- 10.33, N = 4SE +/- 5.42, N = 4SE +/- 5.12, N = 4SE +/- 2.96, N = 4SE +/- 4.27, N = 4SE +/- 2.78, N = 4SE +/- 3.09, N = 4SE +/- 3.47, N = 4SE +/- 4.37, N = 4SE +/- 6.50, N = 4SE +/- 4.70, N = 4SE +/- 5.54, N = 4SE +/- 4.77, N = 4SE +/- 1.25, N = 4SE +/- 4.97, N = 4115711701074104810117897448588177477407798187437447747367571. chrome 125.0.6422.141

dav1d

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Chimera 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 4.96, N = 3SE +/- 5.94, N = 7SE +/- 4.71, N = 4SE +/- 3.42, N = 4SE +/- 6.60, N = 4SE +/- 1.45, N = 5SE +/- 1.29, N = 5SE +/- 1.65, N = 4SE +/- 0.79, N = 5SE +/- 1.75, N = 5SE +/- 1.95, N = 5SE +/- 0.84, N = 5SE +/- 1.21, N = 5SE +/- 0.92, N = 5SE +/- 0.83, N = 5SE +/- 0.54, N = 5SE +/- 1.69, N = 5SE +/- 0.75, N = 5494.96644.54624.03747.81616.52837.54832.42782.74805.99965.981012.17997.56865.51868.66908.95855.54976.55903.771. (CC) gcc options: -pthread

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D160320480640800SE +/- 0.55, N = 4SE +/- 0.48, N = 4SE +/- 0.55, N = 5SE +/- 0.47, N = 4SE +/- 0.73, N = 5SE +/- 0.69, N = 4SE +/- 0.04, N = 3SE +/- 2.62, N = 4SE +/- 0.46, N = 4SE +/- 0.44, N = 4SE +/- 0.84, N = 4SE +/- 2.19, N = 5SE +/- 2.32, N = 4SE +/- 3.95, N = 4SE +/- 2.56, N = 4SE +/- 4.17, N = 5SE +/- 2.63, N = 4SE +/- 1.82, N = 5294.77342.47475.29436.21605.33371.0655.05326.06335.57420.61419.73738.58349.39440.63439.12517.73455.63548.271. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

uvg266

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.8.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.42, N = 4SE +/- 0.46, N = 15SE +/- 1.18, N = 15SE +/- 0.64, N = 7SE +/- 1.26, N = 15SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.05, N = 5SE +/- 0.08, N = 5SE +/- 0.12, N = 6SE +/- 0.06, N = 7SE +/- 0.10, N = 6SE +/- 0.07, N = 6SE +/- 0.07, N = 7SE +/- 0.12, N = 8SE +/- 0.14, N = 7SE +/- 0.19, N = 9SE +/- 0.15, N = 839.5864.5674.63100.74142.5670.5169.9866.3868.0892.3399.6088.4782.59111.46127.22120.24169.38151.65

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.36Test: resizeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.10, N = 4SE +/- 0.12, N = 4SE +/- 0.09, N = 4SE +/- 0.05, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.06, N = 4SE +/- 0.17, N = 4SE +/- 0.16, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 412.1914.5813.8312.4812.3011.9911.5312.8112.0711.5911.1212.0312.3214.4514.2915.0614.2215.00

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.004, N = 4SE +/- 0.022, N = 5SE +/- 0.063, N = 15SE +/- 0.026, N = 6SE +/- 0.016, N = 7SE +/- 0.017, N = 5SE +/- 0.009, N = 5SE +/- 0.004, N = 5SE +/- 0.013, N = 5SE +/- 0.020, N = 5SE +/- 0.008, N = 6SE +/- 0.019, N = 5SE +/- 0.015, N = 5SE +/- 0.028, N = 6SE +/- 0.015, N = 6SE +/- 0.026, N = 6SE +/- 0.016, N = 7SE +/- 0.014, N = 716.08010.0208.7017.0855.24010.17410.10910.82210.4188.4848.0108.8029.1797.2026.6046.8845.6335.9991. (CXX) g++ options: -O3 -fPIC -lm

Selenium

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 1.94, N = 4SE +/- 4.03, N = 4SE +/- 7.55, N = 5SE +/- 1.50, N = 4SE +/- 3.45, N = 4SE +/- 1.44, N = 4SE +/- 1.12, N = 5SE +/- 1.89, N = 4SE +/- 2.69, N = 4SE +/- 3.68, N = 4SE +/- 1.89, N = 4SE +/- 1.03, N = 4SE +/- 1.44, N = 4SE +/- 3.08, N = 4SE +/- 1.64, N = 5SE +/- 7.69, N = 4SE +/- 4.11, N = 4SE +/- 6.85, N = 48238167556836367507048167757006877447687146957386997171. firefox 126.0.1

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6K12K18K24K30KSE +/- 30.16, N = 5SE +/- 181.49, N = 15SE +/- 24.86, N = 6SE +/- 21.86, N = 6SE +/- 150.10, N = 6SE +/- 33.19, N = 5SE +/- 10.23, N = 5SE +/- 9.71, N = 5SE +/- 28.36, N = 5SE +/- 17.62, N = 6SE +/- 13.32, N = 6SE +/- 19.57, N = 6SE +/- 13.41, N = 6SE +/- 32.61, N = 6SE +/- 12.38, N = 6SE +/- 15.97, N = 6SE +/- 20.20, N = 6SE +/- 9.93, N = 621535.5218243.5429376.8426231.7528524.1820723.5821109.3920627.6320720.1223975.2023995.9125299.4223056.9825489.9225517.2725989.2923755.4224452.581. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Selenium

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.03, N = 6SE +/- 0.04, N = 6SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.20, N = 8SE +/- 0.16, N = 10SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.15, N = 6SE +/- 0.04, N = 6SE +/- 0.02, N = 6SE +/- 0.05, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 6SE +/- 0.03, N = 3SE +/- 0.03, N = 618.518.417.316.314.723.019.920.419.222.520.222.119.022.419.520.219.520.41. firefox 126.0.1

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.10, N = 4SE +/- 0.49, N = 5SE +/- 1.05, N = 15SE +/- 0.19, N = 6SE +/- 0.59, N = 7SE +/- 0.07, N = 5SE +/- 0.09, N = 5SE +/- 0.10, N = 5SE +/- 0.07, N = 5SE +/- 0.11, N = 5SE +/- 0.07, N = 5SE +/- 0.08, N = 5SE +/- 0.10, N = 5SE +/- 0.08, N = 6SE +/- 0.16, N = 6SE +/- 0.13, N = 6SE +/- 0.06, N = 6SE +/- 0.26, N = 650.5169.8988.69103.92138.8864.7063.3262.3963.4474.4576.8976.5570.1796.8899.89102.44112.92114.581. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.43, N = 5SE +/- 0.50, N = 6SE +/- 0.92, N = 6SE +/- 0.89, N = 15SE +/- 1.38, N = 15SE +/- 0.23, N = 6SE +/- 0.22, N = 6SE +/- 0.06, N = 6SE +/- 0.12, N = 6SE +/- 0.20, N = 7SE +/- 0.32, N = 7SE +/- 0.11, N = 7SE +/- 0.45, N = 6SE +/- 0.24, N = 6SE +/- 0.12, N = 6SE +/- 0.42, N = 7SE +/- 0.95, N = 7SE +/- 0.79, N = 674.5589.0397.9198.3681.5598.0494.8092.3595.57110.39110.40120.7998.11105.24104.76106.98102.67100.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 0.2Input: 26 Minute Long Talking SampleCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.021, N = 6SE +/- 0.029, N = 6SE +/- 0.031, N = 6SE +/- 0.020, N = 6SE +/- 0.027, N = 7SE +/- 0.017, N = 6SE +/- 0.015, N = 6SE +/- 0.015, N = 6SE +/- 0.008, N = 6SE +/- 0.016, N = 6SE +/- 0.009, N = 6SE +/- 0.020, N = 5SE +/- 0.015, N = 6SE +/- 0.012, N = 6SE +/- 0.023, N = 6SE +/- 0.017, N = 6SE +/- 0.023, N = 6SE +/- 0.121, N = 157.9688.2767.5606.6025.8437.6257.1408.1557.7127.3857.1068.5367.5827.3076.9977.1397.1487.6901. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.36Test: auto-levelsCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 5SE +/- 0.05, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 411.3611.6111.1710.4510.1312.0311.5112.8612.1911.6111.1212.0612.1612.1112.1012.4412.1312.65

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 13 - Input: Bosphorus 4KCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.41, N = 5SE +/- 0.60, N = 6SE +/- 0.58, N = 7SE +/- 0.76, N = 7SE +/- 1.00, N = 8SE +/- 0.96, N = 6SE +/- 0.97, N = 6SE +/- 0.95, N = 7SE +/- 0.93, N = 6SE +/- 1.22, N = 7SE +/- 1.19, N = 7SE +/- 0.98, N = 7SE +/- 1.00, N = 7SE +/- 1.04, N = 15SE +/- 1.12, N = 15SE +/- 1.14, N = 15SE +/- 1.62, N = 15SE +/- 1.63, N = 1567.8399.90118.99134.77167.49108.73107.52103.68105.17132.20139.30130.70120.61153.58168.39162.30189.68182.081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.36Test: rotateCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.006, N = 4SE +/- 0.008, N = 4SE +/- 0.026, N = 5SE +/- 0.013, N = 5SE +/- 0.034, N = 5SE +/- 0.005, N = 4SE +/- 0.091, N = 4SE +/- 0.004, N = 4SE +/- 0.012, N = 4SE +/- 0.008, N = 4SE +/- 0.019, N = 4SE +/- 0.019, N = 4SE +/- 0.018, N = 4SE +/- 0.015, N = 4SE +/- 0.006, N = 4SE +/- 0.015, N = 4SE +/- 0.009, N = 4SE +/- 0.017, N = 410.61210.96210.3729.6919.02511.50810.96712.24411.59811.18010.72111.60311.46811.04711.13711.65510.91611.156

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 8.4.0Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.013, N = 6SE +/- 0.012, N = 6SE +/- 0.010, N = 7SE +/- 0.011, N = 7SE +/- 0.024, N = 7SE +/- 0.011, N = 7SE +/- 0.011, N = 7SE +/- 0.012, N = 7SE +/- 0.014, N = 7SE +/- 0.013, N = 7SE +/- 0.014, N = 7SE +/- 0.013, N = 7SE +/- 0.013, N = 7SE +/- 0.017, N = 7SE +/- 0.018, N = 7SE +/- 0.030, N = 25SE +/- 0.021, N = 7SE +/- 0.038, N = 76.4976.7346.1406.0895.6285.7055.5105.9475.7095.6105.4435.5575.7655.5845.6725.5765.5325.494

Parallel BZIP2 Compression

This test measures the time needed to compress a file (FreeBSD-13.0-RELEASE-amd64-memstick.img) using Parallel BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.144574, N = 4SE +/- 0.046479, N = 6SE +/- 0.061770, N = 15SE +/- 0.039958, N = 10SE +/- 0.024945, N = 15SE +/- 0.067964, N = 7SE +/- 0.031212, N = 6SE +/- 0.048860, N = 6SE +/- 0.035153, N = 6SE +/- 0.051420, N = 7SE +/- 0.035415, N = 7SE +/- 0.014551, N = 7SE +/- 0.024908, N = 7SE +/- 0.022690, N = 8SE +/- 0.031040, N = 9SE +/- 0.027873, N = 8SE +/- 0.022594, N = 10SE +/- 0.021756, N = 912.8187587.6664716.1047895.0924423.1103867.7073167.3436738.2313268.0484955.8513975.6127336.0982886.2492004.2761853.8366224.1423152.9703843.1810561. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.006, N = 6SE +/- 0.008, N = 6SE +/- 0.005, N = 6SE +/- 0.008, N = 6SE +/- 0.009, N = 7SE +/- 0.004, N = 6SE +/- 0.009, N = 6SE +/- 0.006, N = 6SE +/- 0.004, N = 6SE +/- 0.005, N = 6SE +/- 0.007, N = 6SE +/- 0.005, N = 6SE +/- 0.010, N = 6SE +/- 0.006, N = 6SE +/- 0.014, N = 6SE +/- 0.034, N = 6SE +/- 0.011, N = 6SE +/- 0.006, N = 66.9977.7356.9276.3575.9877.4437.2237.9097.4737.3106.9927.6247.7677.3527.2617.3597.0657.665

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.20, N = 5SE +/- 0.24, N = 5SE +/- 0.28, N = 5SE +/- 0.30, N = 6SE +/- 0.20, N = 6SE +/- 0.49, N = 6SE +/- 0.32, N = 6SE +/- 0.22, N = 6SE +/- 0.14, N = 6SE +/- 0.78, N = 6SE +/- 0.45, N = 6SE +/- 0.73, N = 6SE +/- 0.25, N = 6SE +/- 0.12, N = 7SE +/- 0.18, N = 7SE +/- 0.10, N = 7SE +/- 0.16, N = 8SE +/- 0.20, N = 753.3466.4868.1977.3187.8180.4882.2776.1978.0388.3191.8189.5080.17103.31110.11105.27125.44115.951. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.004, N = 6SE +/- 0.047, N = 6SE +/- 0.017, N = 6SE +/- 0.009, N = 6SE +/- 0.023, N = 6SE +/- 0.011, N = 6SE +/- 0.010, N = 6SE +/- 0.018, N = 6SE +/- 0.002, N = 6SE +/- 0.004, N = 6SE +/- 0.011, N = 7SE +/- 0.012, N = 6SE +/- 0.018, N = 6SE +/- 0.017, N = 6SE +/- 0.033, N = 6SE +/- 0.046, N = 6SE +/- 0.016, N = 6SE +/- 0.061, N = 66.6418.3497.2676.5906.5026.5856.4196.9876.6226.4826.1726.6956.8677.7427.8267.8447.4437.802

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.31672.63343.95015.26686.5835SE +/- 0.005, N = 7SE +/- 0.106, N = 15SE +/- 0.004, N = 7SE +/- 0.005, N = 7SE +/- 0.002, N = 7SE +/- 0.005, N = 7SE +/- 0.004, N = 8SE +/- 0.009, N = 7SE +/- 0.005, N = 7SE +/- 0.021, N = 7SE +/- 0.007, N = 8SE +/- 0.004, N = 7SE +/- 0.007, N = 7SE +/- 0.007, N = 8SE +/- 0.006, N = 8SE +/- 0.043, N = 15SE +/- 0.007, N = 8SE +/- 0.005, N = 85.7315.8525.3795.0525.3495.1054.6875.3905.0794.9414.7435.1935.0254.8514.6424.7994.7844.8271. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church FacadeCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D11002200330044005500SE +/- 9.42, N = 6SE +/- 15.32, N = 7SE +/- 2.43, N = 7SE +/- 14.26, N = 7SE +/- 13.79, N = 8SE +/- 3.29, N = 7SE +/- 10.62, N = 7SE +/- 4.11, N = 7SE +/- 8.88, N = 7SE +/- 3.22, N = 7SE +/- 4.59, N = 7SE +/- 4.35, N = 8SE +/- 7.17, N = 7SE +/- 14.61, N = 7SE +/- 2.36, N = 7SE +/- 115.17, N = 15SE +/- 11.67, N = 7SE +/- 5.17, N = 85297501147154597397145864451493247744489441035794746447145553906451535261. (CXX) g++ options: -O3

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.007, N = 4SE +/- 0.006, N = 6SE +/- 0.059, N = 15SE +/- 0.011, N = 8SE +/- 0.004, N = 9SE +/- 0.005, N = 6SE +/- 0.011, N = 6SE +/- 0.009, N = 6SE +/- 0.014, N = 6SE +/- 0.005, N = 7SE +/- 0.008, N = 7SE +/- 0.010, N = 7SE +/- 0.010, N = 7SE +/- 0.009, N = 8SE +/- 0.017, N = 8SE +/- 0.013, N = 8SE +/- 0.005, N = 9SE +/- 0.006, N = 911.7316.9835.8704.6533.2196.9486.9267.3517.0935.6375.2815.7836.1324.5894.0354.2363.3153.5161. (CXX) g++ options: -O3 -fPIC -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.6.1Test: Boat - Acceleration: CPU-onlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.038, N = 5SE +/- 0.030, N = 6SE +/- 0.010, N = 7SE +/- 0.011, N = 8SE +/- 0.005, N = 9SE +/- 0.007, N = 6SE +/- 0.035, N = 6SE +/- 0.010, N = 6SE +/- 0.011, N = 6SE +/- 0.005, N = 7SE +/- 0.003, N = 7SE +/- 0.011, N = 7SE +/- 0.027, N = 6SE +/- 0.005, N = 8SE +/- 0.025, N = 7SE +/- 0.007, N = 8SE +/- 0.010, N = 9SE +/- 0.016, N = 89.3086.2614.4944.0462.7596.0406.7606.3356.1264.8504.6335.0895.8973.7674.0193.6862.9113.608

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 8 - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.07, N = 5SE +/- 0.14, N = 6SE +/- 0.69, N = 6SE +/- 0.29, N = 7SE +/- 0.77, N = 7SE +/- 0.13, N = 7SE +/- 0.11, N = 7SE +/- 0.10, N = 7SE +/- 0.19, N = 7SE +/- 0.12, N = 7SE +/- 0.26, N = 8SE +/- 0.15, N = 7SE +/- 0.18, N = 7SE +/- 0.24, N = 8SE +/- 0.18, N = 8SE +/- 0.19, N = 8SE +/- 0.21, N = 9SE +/- 0.34, N = 868.5490.2790.20103.43129.73112.75113.60105.06107.05133.58141.26129.81119.42150.79167.70155.91188.19169.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.02, N = 5SE +/- 0.16, N = 6SE +/- 0.23, N = 7SE +/- 0.27, N = 7SE +/- 0.70, N = 8SE +/- 0.03, N = 7SE +/- 0.11, N = 7SE +/- 0.08, N = 6SE +/- 0.08, N = 7SE +/- 0.04, N = 7SE +/- 0.06, N = 8SE +/- 0.08, N = 7SE +/- 0.06, N = 7SE +/- 0.07, N = 8SE +/- 0.16, N = 8SE +/- 0.11, N = 8SE +/- 0.25, N = 9SE +/- 0.14, N = 961.2491.5896.38113.90134.76100.19101.4794.0496.12122.17130.69116.53110.93129.27142.81129.85193.79173.341. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount SwivelCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.93041.86082.79123.72164.652SE +/- 0.029, N = 8SE +/- 0.052, N = 15SE +/- 0.021, N = 8SE +/- 0.020, N = 9SE +/- 0.069, N = 15SE +/- 0.020, N = 8SE +/- 0.025, N = 12SE +/- 0.021, N = 8SE +/- 0.021, N = 8SE +/- 0.032, N = 8SE +/- 0.022, N = 9SE +/- 0.015, N = 8SE +/- 0.013, N = 9SE +/- 0.014, N = 9SE +/- 0.017, N = 9SE +/- 0.046, N = 15SE +/- 0.020, N = 9SE +/- 0.028, N = 124.1044.1353.8343.6053.6303.8943.5754.0243.7643.7983.6284.1073.7253.6973.7443.6973.6663.9151. OpenSCAD version 2021.01

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80160240320400SE +/- 1.58, N = 15SE +/- 2.35, N = 15SE +/- 5.05, N = 15SE +/- 4.83, N = 15SE +/- 5.53, N = 15SE +/- 8.57, N = 13SE +/- 9.32, N = 15SE +/- 2.88, N = 15SE +/- 2.30, N = 15SE +/- 8.12, N = 15SE +/- 7.89, N = 15SE +/- 4.62, N = 15SE +/- 5.39, N = 15SE +/- 5.01, N = 15SE +/- 4.43, N = 15SE +/- 6.10, N = 15SE +/- 3.79, N = 15SE +/- 3.83, N = 15229.14214.08221.87259.78259.69284.47295.12252.67277.31307.23314.54370.90258.49239.91241.59249.87225.80224.511. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: LionCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8001600240032004000SE +/- 6.70, N = 8SE +/- 6.63, N = 8SE +/- 1.46, N = 8SE +/- 8.93, N = 8SE +/- 8.56, N = 8SE +/- 3.50, N = 8SE +/- 3.66, N = 8SE +/- 1.90, N = 7SE +/- 26.68, N = 7SE +/- 10.14, N = 8SE +/- 5.27, N = 8SE +/- 4.16, N = 8SE +/- 5.40, N = 8SE +/- 5.87, N = 8SE +/- 17.14, N = 8SE +/- 34.76, N = 15SE +/- 14.66, N = 8SE +/- 2.77, N = 83655346832753344295635543465379836863482341430983615348234363456343430511. (CXX) g++ options: -O3

AOM AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80160240320400SE +/- 0.63, N = 10SE +/- 2.05, N = 15SE +/- 5.88, N = 12SE +/- 4.65, N = 15SE +/- 6.32, N = 15SE +/- 7.34, N = 15SE +/- 3.64, N = 15SE +/- 6.69, N = 15SE +/- 7.43, N = 15SE +/- 4.64, N = 15SE +/- 2.54, N = 15SE +/- 11.30, N = 15SE +/- 3.94, N = 15SE +/- 4.42, N = 15SE +/- 5.41, N = 15SE +/- 3.89, N = 15SE +/- 4.66, N = 15SE +/- 4.73, N = 15233.42223.76226.50261.73272.44293.30314.58245.96267.63316.34337.54365.85272.45245.36241.32261.27229.66229.541. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.9Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 1.17, N = 9SE +/- 0.84, N = 9SE +/- 3.15, N = 15SE +/- 4.20, N = 15SE +/- 4.89, N = 15SE +/- 1.93, N = 10SE +/- 2.13, N = 15SE +/- 0.69, N = 10SE +/- 1.67, N = 15SE +/- 2.29, N = 15SE +/- 2.44, N = 15SE +/- 5.40, N = 15SE +/- 1.78, N = 15SE +/- 3.94, N = 15SE +/- 1.35, N = 10SE +/- 2.83, N = 15SE +/- 3.11, N = 15SE +/- 2.24, N = 15201.69203.93201.87227.52254.53269.30280.68238.70245.35294.27302.33343.80247.02221.36238.80238.83214.56217.431. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, LosslessCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.003, N = 6SE +/- 0.008, N = 7SE +/- 0.021, N = 8SE +/- 0.013, N = 8SE +/- 0.023, N = 9SE +/- 0.005, N = 8SE +/- 0.016, N = 8SE +/- 0.005, N = 7SE +/- 0.003, N = 7SE +/- 0.005, N = 8SE +/- 0.004, N = 8SE +/- 0.016, N = 8SE +/- 0.009, N = 8SE +/- 0.014, N = 8SE +/- 0.029, N = 10SE +/- 0.022, N = 8SE +/- 0.015, N = 9SE +/- 0.015, N = 96.7294.9334.3133.9043.2884.8444.6495.1074.8904.4054.1954.6234.5864.1093.8583.9933.6193.7271. (CXX) g++ options: -O3 -fPIC -lm

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 1.09, N = 8SE +/- 2.28, N = 8SE +/- 5.61, N = 8SE +/- 1.57, N = 8SE +/- 9.43, N = 15SE +/- 1.28, N = 9SE +/- 7.62, N = 10SE +/- 4.89, N = 9SE +/- 6.99, N = 15SE +/- 1.65, N = 9SE +/- 5.01, N = 10SE +/- 1.27, N = 9SE +/- 6.71, N = 15SE +/- 2.10, N = 9SE +/- 7.07, N = 14SE +/- 6.22, N = 15SE +/- 4.02, N = 10SE +/- 5.87, N = 14669.7689.5723.0797.2841.7907.11143.5998.71046.0896.6979.5905.21012.7884.81085.6927.71006.1883.4-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60120180240300SE +/- 0.05, N = 6SE +/- 0.12, N = 7SE +/- 0.09, N = 8SE +/- 0.16, N = 8SE +/- 0.58, N = 9SE +/- 0.11, N = 7SE +/- 0.14, N = 8SE +/- 0.12, N = 7SE +/- 0.09, N = 7SE +/- 0.07, N = 8SE +/- 0.05, N = 9SE +/- 0.08, N = 8SE +/- 0.12, N = 8SE +/- 0.09, N = 9SE +/- 0.14, N = 9SE +/- 0.14, N = 9SE +/- 0.16, N = 10SE +/- 0.20, N = 1075.38117.98129.42153.24204.09123.50125.97115.94118.52157.18169.60150.93143.39168.72189.01171.72255.51227.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.6.1Test: Masskrug - Acceleration: CPU-onlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.0492.0983.1474.1965.245SE +/- 0.003, N = 7SE +/- 0.019, N = 8SE +/- 0.009, N = 9SE +/- 0.011, N = 9SE +/- 0.010, N = 10SE +/- 0.005, N = 8SE +/- 0.012, N = 7SE +/- 0.004, N = 8SE +/- 0.006, N = 8SE +/- 0.013, N = 8SE +/- 0.006, N = 9SE +/- 0.007, N = 9SE +/- 0.008, N = 8SE +/- 0.006, N = 9SE +/- 0.004, N = 9SE +/- 0.005, N = 9SE +/- 0.005, N = 10SE +/- 0.006, N = 94.6623.3602.5792.3621.6593.6033.9333.6853.5782.8752.7732.6903.4592.3702.5312.2561.9252.162

dav1d

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.4.2Video Input: Summer Nature 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 1.03, N = 7SE +/- 0.88, N = 8SE +/- 2.73, N = 9SE +/- 2.57, N = 9SE +/- 5.47, N = 15SE +/- 1.94, N = 9SE +/- 0.94, N = 9SE +/- 1.38, N = 9SE +/- 1.04, N = 9SE +/- 3.40, N = 10SE +/- 3.89, N = 10SE +/- 1.13, N = 10SE +/- 1.52, N = 9SE +/- 2.15, N = 9SE +/- 1.70, N = 10SE +/- 0.70, N = 9SE +/- 3.86, N = 10SE +/- 0.84, N = 10616.68899.611008.531198.58691.911114.301108.971030.351058.441295.951379.811332.081170.961227.001314.501248.971464.851372.561. (CC) gcc options: -pthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.6.1Test: Server Room - Acceleration: CPU-onlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.76911.53822.30733.07643.8455SE +/- 0.002, N = 8SE +/- 0.009, N = 8SE +/- 0.010, N = 9SE +/- 0.004, N = 9SE +/- 0.009, N = 10SE +/- 0.005, N = 8SE +/- 0.006, N = 8SE +/- 0.004, N = 8SE +/- 0.005, N = 8SE +/- 0.003, N = 9SE +/- 0.005, N = 9SE +/- 0.004, N = 9SE +/- 0.012, N = 8SE +/- 0.003, N = 9SE +/- 0.007, N = 9SE +/- 0.007, N = 9SE +/- 0.006, N = 10SE +/- 0.006, N = 93.4182.6521.9621.8811.4442.7473.1802.7122.6292.2532.1742.2372.7631.9462.1601.9091.6841.997

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.003, N = 8SE +/- 0.044, N = 9SE +/- 0.018, N = 10SE +/- 0.044, N = 10SE +/- 0.169, N = 15SE +/- 0.044, N = 15SE +/- 0.090, N = 15SE +/- 0.015, N = 9SE +/- 0.004, N = 9SE +/- 0.007, N = 10SE +/- 0.007, N = 10SE +/- 0.025, N = 10SE +/- 0.014, N = 10SE +/- 0.078, N = 11SE +/- 0.041, N = 11SE +/- 0.120, N = 15SE +/- 0.131, N = 15SE +/- 0.092, N = 114.8546.4558.23710.15417.7346.5295.9336.2676.4698.5019.0018.4178.21111.33712.84812.24216.67216.1891. (CXX) g++ options: -O3 -lm -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350SE +/- 0.13, N = 7SE +/- 0.26, N = 9SE +/- 0.25, N = 9SE +/- 0.34, N = 9SE +/- 1.56, N = 10SE +/- 0.10, N = 9SE +/- 0.17, N = 9SE +/- 0.09, N = 8SE +/- 0.09, N = 8SE +/- 0.07, N = 10SE +/- 0.15, N = 10SE +/- 0.08, N = 9SE +/- 0.14, N = 9SE +/- 0.15, N = 10SE +/- 0.24, N = 10SE +/- 0.15, N = 10SE +/- 0.14, N = 11SE +/- 0.19, N = 10101.99161.21178.03210.80244.69162.39167.62152.64156.16209.84226.44202.55192.42225.14251.89227.80308.30275.041. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D110220330440550SE +/- 0.52, N = 8SE +/- 0.56, N = 9SE +/- 0.78, N = 10SE +/- 0.92, N = 11SE +/- 3.22, N = 15SE +/- 0.83, N = 9SE +/- 0.78, N = 9SE +/- 0.83, N = 9SE +/- 0.79, N = 9SE +/- 0.77, N = 10SE +/- 0.81, N = 10SE +/- 0.81, N = 10SE +/- 0.67, N = 9SE +/- 1.58, N = 10SE +/- 1.73, N = 11SE +/- 1.11, N = 15SE +/- 1.69, N = 15SE +/- 1.86, N = 15167.75218.02302.66339.29512.50212.33214.18202.44206.41241.87253.29249.66222.75337.58357.22357.15432.35423.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D110220330440550SE +/- 0.47, N = 8SE +/- 0.52, N = 9SE +/- 0.89, N = 10SE +/- 1.03, N = 11SE +/- 2.81, N = 15SE +/- 0.66, N = 9SE +/- 0.57, N = 9SE +/- 0.63, N = 9SE +/- 0.66, N = 9SE +/- 0.72, N = 10SE +/- 0.81, N = 10SE +/- 0.87, N = 10SE +/- 0.90, N = 9SE +/- 1.07, N = 15SE +/- 1.45, N = 11SE +/- 1.35, N = 11SE +/- 1.76, N = 15SE +/- 1.66, N = 15167.99226.27309.98354.68524.83217.20218.78207.17211.57250.27262.29256.60230.95344.83366.94365.82441.66430.381. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D140280420560700SE +/- 0.48, N = 9SE +/- 0.66, N = 10SE +/- 0.92, N = 15SE +/- 1.43, N = 15SE +/- 6.60, N = 15SE +/- 0.99, N = 10SE +/- 0.83, N = 10SE +/- 0.91, N = 10SE +/- 0.96, N = 10SE +/- 1.32, N = 10SE +/- 0.95, N = 15SE +/- 1.33, N = 10SE +/- 1.24, N = 10SE +/- 1.61, N = 11SE +/- 1.76, N = 11SE +/- 2.23, N = 11SE +/- 2.84, N = 15SE +/- 2.97, N = 15190.78312.29394.96459.67659.77281.92281.90270.31274.63354.89377.06357.02321.50431.27467.09460.40591.84570.821. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Retro CarCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.52611.05221.57832.10442.6305SE +/- 0.005, N = 10SE +/- 0.029, N = 15SE +/- 0.003, N = 11SE +/- 0.005, N = 11SE +/- 0.009, N = 7SE +/- 0.007, N = 10SE +/- 0.005, N = 9SE +/- 0.003, N = 10SE +/- 0.003, N = 11SE +/- 0.003, N = 11SE +/- 0.011, N = 11SE +/- 0.005, N = 10SE +/- 0.005, N = 11SE +/- 0.007, N = 11SE +/- 0.011, N = 10SE +/- 0.018, N = 15SE +/- 0.005, N = 11SE +/- 0.011, N = 112.3262.3382.1712.0502.1382.2672.0242.2822.1332.1892.0892.2992.1192.1772.0772.1622.0962.0781. OpenSCAD version 2021.01

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.1Encoder Mode: Preset 13 - Input: Bosphorus 1080pCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D150300450600750SE +/- 1.76, N = 15SE +/- 2.59, N = 12SE +/- 3.08, N = 15SE +/- 3.54, N = 15SE +/- 2.95, N = 12SE +/- 2.02, N = 15SE +/- 2.18, N = 15SE +/- 2.11, N = 15SE +/- 1.96, N = 15SE +/- 2.74, N = 15SE +/- 2.62, N = 15SE +/- 3.81, N = 15SE +/- 2.60, N = 15SE +/- 2.81, N = 15SE +/- 2.72, N = 15SE +/- 2.38, N = 15SE +/- 2.93, N = 15SE +/- 3.43, N = 12357.20470.28468.57527.41544.85507.97533.83503.65515.09581.29610.03601.51558.82628.21682.74661.37716.07700.001. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

WebP Image Encode

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.4Encode Settings: Quality 100Core i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.01, N = 11SE +/- 0.03, N = 11SE +/- 0.01, N = 11SE +/- 0.00, N = 11SE +/- 0.02, N = 12SE +/- 0.02, N = 11SE +/- 0.01, N = 12SE +/- 0.01, N = 11SE +/- 0.01, N = 11SE +/- 0.01, N = 11SE +/- 0.01, N = 11SE +/- 0.01, N = 11SE +/- 0.03, N = 11SE +/- 0.04, N = 15SE +/- 0.10, N = 12SE +/- 0.13, N = 15SE +/- 0.03, N = 11SE +/- 0.06, N = 1113.5413.7914.4515.6317.6614.8316.8714.7215.6415.3316.1414.8115.7415.3816.4415.8516.1815.89-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff1. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.4Encode Settings: DefaultCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.02, N = 12SE +/- 0.04, N = 12SE +/- 0.01, N = 15SE +/- 0.01, N = 13SE +/- 0.02, N = 13SE +/- 0.02, N = 15SE +/- 0.02, N = 13SE +/- 0.05, N = 15SE +/- 0.01, N = 13SE +/- 0.09, N = 15SE +/- 0.03, N = 15SE +/- 0.01, N = 12SE +/- 0.04, N = 13SE +/- 0.02, N = 12SE +/- 0.02, N = 13SE +/- 0.15, N = 13SE +/- 0.07, N = 15SE +/- 0.02, N = 1521.0621.2522.4924.2527.3923.1027.3623.8225.3823.6425.2823.3225.5623.8227.6425.2525.6425.72-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff-ljpeg -lpng16 -ltiff1. (CC) gcc options: -fvisibility=hidden -O2 -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.6.1Test: Server Rack - Acceleration: CPU-onlyCore i3 14100Core i5 14400FCore i5 14500Core i5 14600KCore i9 14900KRyzen 5 7600Ryzen 5 7600XRyzen 5 8400FRyzen 5 8600GRyzen 7 7700Ryzen 7 7700XRyzen 7 7800X3DRyzen 7 8700GRyzen 9 7900Ryzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.1260.2520.3780.5040.63SE +/- 0.003, N = 12SE +/- 0.003, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.005, N = 15SE +/- 0.001, N = 12SE +/- 0.003, N = 12SE +/- 0.002, N = 12SE +/- 0.001, N = 12SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.002, N = 13SE +/- 0.002, N = 12SE +/- 0.001, N = 13SE +/- 0.003, N = 15SE +/- 0.002, N = 15SE +/- 0.002, N = 15SE +/- 0.002, N = 150.5600.4180.2870.2680.1940.4350.5240.3960.3810.3350.3080.3270.4580.2420.3380.2370.1840.294

442 Results Shown

Whisper.cpp
Timed Linux Kernel Compilation
LAMMPS Molecular Dynamics Simulator
OpenRadioss
OpenFOAM:
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
Xmrig
QuantLib
Timed LLVM Compilation
OpenRadioss
Whisper.cpp
Timed Gem5 Compilation
Blender
OpenSSL:
  RSA4096:
    verify/s
    sign/s
ClickHouse:
  100M Rows Hits Dataset, Third Run
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, First Run / Cold Cache
Timed Godot Game Engine Compilation
SecureMark
PostgreSQL:
  100 - 1000 - Read Write - Average Latency
  100 - 1000 - Read Write
miniBUDE:
  OpenMP - BM2:
    Billion Interactions/s
    GFInst/s
TensorFlow
Stockfish
OpenRadioss
Apache IoTDB:
  500 - 100 - 800 - 400:
    Average Latency
    point/sec
ASTC Encoder
BRL-CAD
C-Ray
Gcrypt Library
OpenSSL
GPAW
OpenRadioss
ASTC Encoder
Appleseed
Primesieve
Speedb
ScyllaDB
OpenSSL
PostgreSQL:
  100 - 1000 - Read Only - Average Latency
  100 - 1000 - Read Only
OSPRay Studio
OpenSSL:
  AES-256-GCM
  SHA256
  ChaCha20-Poly1305
  SHA512
Pennant
SPECFEM3D
OSPRay
Java JMH
Apache IoTDB:
  500 - 100 - 500 - 400:
    Average Latency
    point/sec
SVT-AV1
OSPRay Studio:
  2 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
Whisper.cpp
CloverLeaf
OSPRay
OpenRadioss
Blender
FFmpeg:
  libx265 - Platform
  libx265 - Video On Demand
Blender
FFmpeg
Intel Open Image Denoise
SPECFEM3D
NAMD
DuckDB
Perl Benchmarks
DuckDB
simdjson
Numpy Benchmark
OSPRay
LuxCoreRender
ACES DGEMM
OpenRadioss
PyPerformance
libavif avifenc
VVenC
PyTorch
PyPerformance
RocksDB
Blender
Appleseed
PyPerformance
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Appleseed
CockroachDB:
  KV, 50% Reads - 128
  KV, 60% Reads - 128
  KV, 95% Reads - 128
uvg266
GROMACS
simdjson
G'MIC
GraphicsMagick
Timed Linux Kernel Compilation
RocksDB
Stargate Digital Audio Workstation
simdjson
PyTorch
Ngspice
Selenium
Stargate Digital Audio Workstation
uvg266
NAS Parallel Benchmarks
PJSIP
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
Apache HTTP Server
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
nginx:
  1000
  500
Apache HTTP Server
AOM AV1
ONNX Runtime:
  ResNet50 v1-12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
Perl Benchmarks
John The Ripper
ONNX Runtime:
  ArcFace ResNet-100 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
LuxCoreRender
simdjson
AOM AV1
Llamafile
ONNX Runtime:
  Faster R-CNN R-50-FPN-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
OSPRay Studio
PyPerformance
ONNX Runtime:
  fcn-resnet101-11 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
PyPerformance
Ngspice
simdjson
John The Ripper
ONNX Runtime:
  yolov4 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  bertsquad-12 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
Xcompact3d Incompact3d
OSPRay Studio
CloverLeaf
OSPRay Studio
Chaos Group V-RAY
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  1 - 1080p - 1 - Path Tracer - CPU
  2 - 1080p - 1 - Path Tracer - CPU
LuxCoreRender
ONNX Runtime:
  CaffeNet 12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  super-resolution-10 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
SPECFEM3D
Stargate Digital Audio Workstation
LuxCoreRender
Llama.cpp
Cryptsetup:
  Twofish-XTS 512b Decryption
  Twofish-XTS 512b Encryption
  Serpent-XTS 512b Decryption
  Serpent-XTS 512b Encryption
  AES-XTS 512b Decryption
  AES-XTS 512b Encryption
  Twofish-XTS 256b Decryption
  Twofish-XTS 256b Encryption
  Serpent-XTS 256b Decryption
  Serpent-XTS 256b Encryption
  AES-XTS 256b Decryption
  AES-XTS 256b Encryption
  PBKDF2-whirlpool
  PBKDF2-sha512
GraphicsMagick
Intel Open Image Denoise
Memcached:
  1:10
  1:100
OSPRay
PJSIP
NAMD
Stargate Digital Audio Workstation
TensorFlow
OSPRay
OSPRay Studio
OSPRay
IndigoBench
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
IndigoBench
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
Selenium
OSPRay Studio
OpenVINO:
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
OSPRay Studio
GEGL
ONNX Runtime:
  GPT-2 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
GraphicsMagick
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
ONNX Runtime:
  T5 Encoder - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
OpenVINO:
  Noise Suppression Poconet-Like FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
GraphicsMagick
OpenVINO:
  Person Re-Identification Retail FP16 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
Speedb
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
Speedb
GraphicsMagick:
  HWB Color Space
  Resizing
Speedb
RocksDB
SPECFEM3D
RocksDB
SPECFEM3D
PyPerformance
Selenium
Kvazaar
C-Ray
OpenSCAD
Selenium
JPEG-XL libjxl
Timed PHP Compilation
libavif avifenc
NAS Parallel Benchmarks
Z3 Theorem Prover
Kvazaar
Liquid-DSP
ASTC Encoder
PyPerformance
NAS Parallel Benchmarks
Embree
Node.js V8 Web Tooling Benchmark
Timed FFmpeg Compilation
G'MIC
Embree
ASKAP:
  tConvolve MT - Degridding
  tConvolve MT - Gridding
Stargate Digital Audio Workstation
Git
SVT-AV1
VVenC
RawTherapee
x265
libxsmm
Renaissance
Stargate Digital Audio Workstation
Embree
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
FFmpeg
Liquid-DSP
Coremark
libxsmm
Selenium:
  Speedometer - Firefox
  Speedometer 3.0 - Firefox
Embree
DaCapo Benchmark
JPEG-XL libjxl
SVT-AV1
eSpeak-NG Speech Engine
Selenium
uvg266
GEGL
Radiance Benchmark
uvg266
Google SynthMark
JPEG-XL Decoding libjxl
VVenC
AOM AV1
John The Ripper
Cpuminer-Opt
uvg266
Liquid-DSP
GEGL
PyPerformance
Liquid-DSP
PyPerformance
Cpuminer-Opt:
  Magi
  Ringcoin
JPEG-XL libjxl:
  PNG - 100
  JPEG - 100
PJSIP
AOM AV1
Liquid-DSP
Cpuminer-Opt
OpenSCAD
Cpuminer-Opt
Pennant
GEGL
Selenium
DeepSpeech
NAS Parallel Benchmarks
AOM AV1
John The Ripper
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
Cpuminer-Opt:
  Triple SHA-256, Onecoin
  Deepcoin
PyPerformance
Timed Mesa Compilation
John The Ripper
Selenium
Kvazaar
Y-Cruncher
Cpuminer-Opt
Aircrack-ng
libjpeg-turbo tjbench
PyPerformance
Cpuminer-Opt
Liquid-DSP
WebP Image Encode
Cpuminer-Opt:
  Skeincoin
  Myriad-Groestl
  LBC, LBRY Credits
SVT-AV1
uvg266:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
PyPerformance:
  float
  pathlib
  regex_compile
  go
  chaos
Kvazaar
JPEG-XL Decoding libjxl
PyPerformance
ASTC Encoder
DuckDB
VVenC
Selenium
srsRAN Project
7-Zip Compression:
  Decompression Rating
  Compression Rating
SVT-VP9
OpenSCAD
Kvazaar
NAS Parallel Benchmarks
Selenium
SVT-HEVC
Y-Cruncher
GEGL
Ogg Audio Encoding
SVT-AV1
dav1d
AOM AV1
DaCapo Benchmark
PyPerformance
LuxCoreRender
NAS Parallel Benchmarks
srsRAN Project
DaCapo Benchmark
Selenium
PyBench
PyPerformance
Primesieve
Z3 Theorem Prover
PyPerformance
srsRAN Project
Selenium
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
Xcompact3d Incompact3d
GEGL
FLAC Audio Encoding
AOM AV1
uvg266
GEGL
dav1d
NAS Parallel Benchmarks
LibRaw
WebP Image Encode
G'MIC
AOM AV1
ASKAP:
  tConvolve OpenMP - Degridding
  tConvolve OpenMP - Gridding
ASTC Encoder
PHPBench
uvg266
GIMP
Selenium
dav1d
ASKAP
uvg266
GIMP
libavif avifenc
Selenium
NAS Parallel Benchmarks
Selenium
SVT-VP9
AOM AV1
RNNoise
GIMP
SVT-AV1
GIMP
GNU Octave Benchmark
Parallel BZIP2 Compression
GEGL
x265
GEGL
LAME MP3 Encoding
Google Draco
libavif avifenc
Darktable
SVT-AV1
Kvazaar
OpenSCAD
AOM AV1
Google Draco
AOM AV1:
  Speed 11 Realtime - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 1080p
libavif avifenc
srsRAN Project
Kvazaar
Darktable
dav1d
Darktable
LAMMPS Molecular Dynamics Simulator
Kvazaar
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
SVT-HEVC
OpenSCAD
SVT-AV1
WebP Image Encode:
  Quality 100
  Default
Darktable