AMD Ryzen 9 7950X3D Linux Review Benchmarks

AMD Ryzen 9 7950X3D Linux review benchmarks for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302260-NE-CPUBENCHM18
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Core i9 13900K
February 13 2023
  1 Day, 4 Hours, 31 Minutes
Ryzen 7 5800X3D
February 22 2023
  1 Day, 6 Hours, 48 Minutes
Ryzen 9 5950X
February 24 2023
  1 Day, 6 Hours, 2 Minutes
Ryzen 9 7950X
February 15 2023
  23 Hours, 8 Minutes
Ryzen 9 7950X3D
February 16 2023
  1 Day, 12 Minutes
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  1 Day, 3 Hours, 20 Minutes

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Core i9 13900K

Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e - Thermald 2.5.2
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 7950X

Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 7950X3D

Changed Processor to AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads).

Ryzen 7 5800X3D

Processor: AMD Ryzen 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4402 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120a
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 5950X

Changed Processor to AMD Ryzen 9 5950X 16-Core @ 5.08GHz (16 Cores / 32 Threads).

Processor Change: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025

AMD Ryzen 9 7950X3D Linux Review BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950XIntel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0809 BIOS)Intel Device 7a2732GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)Realtek ALC897ASUS VP28UIntel Device 7a70Ubuntu 23.046.2.0-060200rc8daily20230213-generic (x86_64)GNOME Shell 43.2X Server 1.21.1.64.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43840x2160AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d8AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads)AMD Ryzen 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (4402 BIOS)AMD Starship/MatisseRealtek RTL8125 2.5GbE + Intel I211AMD Ryzen 9 5950X 16-Core @ 5.08GHz (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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v Disk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Core i9 13900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e - Thermald 2.5.2- Ryzen 9 7950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7 5800X3D: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120a- Ryzen 9 5950X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025Java Details- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Details- Python 3.11.1Security Details- Core i9 13900K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 7950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 7950X3D: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 7 5800X3D: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950XResult OverviewPhoronix Test Suite100%174%249%323%398%oneDNNXcompact3d Incompact3dOSPRayOpenVINOOSPRay StudioNAMDPrimesieveCpuminer-OptStress-NGBlenderASKAPBRL-CADSVT-VP9Chaos Group V-RAYTachyonASTC EncoderLuxCoreRenderTimed Linux Kernel CompilationPennantNode.js Express HTTP Load TestTimed Godot Game Engine CompilationLeelaChessZeroSysbenchTimed LLVM CompilationDarktableTimed MPlayer CompilationIndigoBenchACES DGEMMGPAWOpenVKLStargate Digital Audio WorkstationN-QueensSVT-HEVCTimed FFmpeg CompilationHigh Performance Conjugate GradientEmbreeLAMMPS Molecular Dynamics Simulator7-Zip CompressionGROMACSTimed Mesa CompilationHimeno BenchmarkLULESHm-queensBuild2AppleseedOpenFOAMx264XmrigLiquid-DSPKvazaarAlgebraic Multi-Grid Benchmarklibavif avifencTensorFlow LiteNumenta Anomaly BenchmarkGraphicsMagickx265NatronTimed MrBayes AnalysisNCNNPHPBenchSVT-AV1KTX-Software toktxRocksDBsimdjsonPyBenchONNX RuntimePyHPC BenchmarksWireGuard + Linux Networking Stack Stress TestTNNRawTherapeeAOM AV1dav1dNumpy BenchmarkNode.js V8 Web Tooling Benchmarkrav1eQuantLibOpenEMSLuaRadioZstd CompressionRenaissanceSQLite SpeedtestDeepSpeechDaCapo BenchmarkSeleniumsrsRANRNNoiseDolfynLZ4 CompressionGNU Octave BenchmarkGoogle DracoCraftyRadiance BenchmarkGEGLGcrypt LibraryLAME MP3 Encodinglibjpeg-turbo tjbenchWebP Image EncodeUnpacking The Linux KernelUnpacking FirefoxGIMPVP9 libvpx Encoding

Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950XPer Watt Result OverviewPhoronix Test Suite100%175%250%325%400%GROMACSASKAPLeelaChessZeroNode.js Express HTTP Load TestSVT-VP9Algebraic Multi-Grid BenchmarkOSPRayLULESHHimeno Benchmarkx264ASTC EncoderCpuminer-OptSVT-HEVCXmrigHigh Performance Conjugate GradientStress-NGKvazaarNatronEmbreeStargate Digital Audio WorkstationPHPBenchOpenVKLACES DGEMMSVT-AV1x2657-Zip CompressionLuxCoreRenderLAMMPS Molecular Dynamics SimulatorChaos Group V-RAYBRL-CADAOM AV1IndigoBenchrav1eVP9 libvpx EncodingOpenEMSLiquid-DSPSeleniumSysbenchWebP Image EncodeNode.js V8 Web Tooling BenchmarkNumpy BenchmarkQuantLibLZ4 CompressionCraftyZstd CompressionsimdjsonGraphicsMagicksrsRANlibjpeg-turbo tjbenchRocksDBLuaRadioP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

AMD Ryzen 9 7950X3D Linux Review Benchmarksbuild-linux-kernel: allmodconfigblender: Barbershop - CPU-Onlylammps: 20k Atomslczero: Eigenopenems: pyEMS Couplerbuild-llvm: Unix Makefilesopenvkl: vklBenchmark ISPConnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenvkl: vklBenchmark Scalarospray: particle_volume/pathtracer/real_timebuild-llvm: Ninjalczero: BLASospray: particle_volume/scivis/real_timeonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardluaradio: Complex Phaseluaradio: Hilbert Transformluaradio: FM Deemphasis Filterluaradio: Five Back to Back FIR Filtersclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runospray-studio: 3 - 4K - 32 - Path Tracerblender: Pabellon Barcelona - CPU-Onlyhimeno: Poisson Pressure Solveronnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardbrl-cad: VGR Performance Metriconnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardgpaw: Carbon Nanotubeonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUospray-studio: 2 - 4K - 32 - Path Tracerhpcg: ospray-studio: 1 - 4K - 32 - Path Tracerblender: Classroom - CPU-Onlyospray: particle_volume/ao/real_timerenaissance: ALS Movie Lenstoktx: UASTC 4 + Zstd Compression 19renaissance: Akka Unbalanced Cobwebbed Treegcrypt: pennant: sedovbigncnn: CPU - mnasnetncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracertnn: CPU - DenseNetsvt-hevc: 1 - Bosphorus 4Kcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedospray-studio: 3 - 4K - 1 - Path Tracerwireguard: stress-ng: IO_uringospray-studio: 2 - 1080p - 32 - Path Tracerprimesieve: 1e13appleseed: Emilyaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingradiance: Serialincompact3d: input.i3d 193 Cells Per Directionospray-studio: 1 - 1080p - 32 - Path Tracerstress-ng: CPU Cachecompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedospray: gravity_spheres_volume/dim_512/ao/real_timesimdjson: TopTweetospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray: gravity_spheres_volume/dim_512/scivis/real_timegromacs: MPI CPU - water_GMX50_barenumenta-nab: KNN CADospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerluxcorerender: Danish Mood - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timerocksdb: Read While Writingrenaissance: Apache Spark PageRanknumpy: xmrig: Monero - 1Mcpuminer-opt: Garlicoinnumenta-nab: Earthgecko Skylinemrbayes: Primate Phylogeny Analysistensorflow-lite: Mobilenet Floatstress-ng: Socket Activityblender: Fishy Cat - CPU-Onlyrenaissance: Scala Dottyavifenc: 0sysbench: CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedaom-av1: Speed 0 Two-Pass - Bosphorus 4Kcompress-zstd: 12 - Decompression Speedcompress-zstd: 12 - Compression Speedopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timesimdjson: PartialTweetsstress-ng: Glibc C String Functionsappleseed: Material Testertachyon: Total Timeappleseed: Disney Materialsimdjson: Kostyabuild2: Time To Compileblender: BMW27 - CPU-Onlyindigobench: CPU - Supercarxmrig: Wownero - 1Mv-ray: CPUaom-av1: Speed 4 Two-Pass - Bosphorus 4Kstargate: 192000 - 512pyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingbuild-godot: Time To Compilerenaissance: Apache Spark ALSsimdjson: LargeRandselenium: Jetstream 2 - Google Chromesimdjson: DistinctUserIDgegl: Cartoonindigobench: CPU - Bedroomopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUbuild-linux-kernel: defconfigstargate: 192000 - 1024openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUluxcorerender: Orange Juice - CPUvpxenc: Speed 0 - Bosphorus 4Kopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUcompress-zstd: 3 - Decompression Speedcompress-zstd: 3 - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedluxcorerender: LuxCore Benchmark - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUluxcorerender: DLSC - CPUtensorflow-lite: Inception V4openvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUrocksdb: Rand Fill Synctensorflow-lite: Mobilenet Quantopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUgraphics-magick: Sharpennamd: ATPase Simulation - 327,506 Atomsrocksdb: Rand Fillselenium: PSPDFKit WASM - Google Chromerocksdb: Update Randgraphics-magick: Enhancedgraphics-magick: Noise-Gaussiangraphics-magick: Swirlgraphics-magick: Resizingrocksdb: Read Rand Write Randgraphics-magick: Rotategraphics-magick: HWB Color Spacerocksdb: Rand Readselenium: ARES-6 - Google Chromerenaissance: Genetic Algorithm Using Jenetics + Futurescpuminer-opt: Myriad-Groestlnode-web-tooling: cpuminer-opt: Deepcoinrenaissance: Finagle HTTP Requestsrenaissance: Savina Reactors.IOstress-ng: Glibc Qsort Data Sortingcompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedavifenc: 2stargate: 96000 - 512numenta-nab: Bayesian Changepointx264: Bosphorus 4Krawtherapee: Total Benchmark Timestargate: 96000 - 1024astcenc: Exhaustiveradiance: SMP Parallelgegl: Wavelet Blurselenium: Octane - Google Chromeaom-av1: Speed 6 Two-Pass - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Ksqlite-speedtest: Timed Time - Size 1,000kvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumnatron: Spaceshipm-queens: Time To Solvestargate: 44100 - 512cpuminer-opt: Ringcoinsvt-hevc: 1 - Bosphorus 1080pgegl: Color Enhanceselenium: Speedometer - Google Chromerenaissance: Apache Spark Bayespennant: leblancbiggegl: Rotate 90 Degreesstargate: 480000 - 1024onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUvpxenc: Speed 0 - Bosphorus 1080ponednn: IP Shapes 3D - u8s8f32 - CPUdeepspeech: CPUcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedstress-ng: Memory Copyingselenium: WASM collisionDetection - Google Chromestargate: 480000 - 512webp: Quality 100, Lossless, Highest Compressionstress-ng: Semaphoresstress-ng: Malloccpuminer-opt: x25xcpuminer-opt: LBC, LBRY Creditsstress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Cryptostress-ng: CPU Stresscpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: scryptcpuminer-opt: Magicpuminer-opt: Quad SHA-256, Pyritebuild-mesa: Time To Compilecpuminer-opt: Skeincoinsrsran: OFDM_Testbuild-ffmpeg: Time To Compilepyhpc: CPU - Numpy - 4194304 - Equation of Stateaom-av1: Speed 4 Two-Pass - Bosphorus 1080pstargate: 44100 - 1024srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMvpxenc: Speed 5 - Bosphorus 4Kmt-dgemm: Sustained Floating-Point Rateembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownunpack-firefox: firefox-84.0.source.tar.xzamg: build-mplayer: Time To Compiledolfyn: Computational Fluid Dynamicsdacapobench: H2embree: Pathtracer ISPC - Asian Dragongegl: Antialiasembree: Pathtracer - Asian Dragontjbench: Decompression Throughputincompact3d: input.i3d 129 Cells Per Directionastcenc: Thoroughluxcorerender: Rainbow Colors and Prism - CPUsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMselenium: Kraken - Google Chromex265: Bosphorus 4Knumenta-nab: Contextual Anomaly Detector OSEcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingrenaissance: Rand Forestaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 4Kkvazaar: Bosphorus 4K - Ultra Fastgegl: Reflectpyhpc: CPU - Numpy - 1048576 - Equation of Stateonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUrav1e: 1numenta-nab: Relative Entropyphpbench: PHP Benchmark Suitequantlib: rocksdb: Seq Fillgegl: Tile Glassliquid-dsp: 32 - 256 - 57liquid-dsp: 8 - 256 - 57liquid-dsp: 16 - 256 - 57aom-av1: Speed 8 Realtime - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 4Knode-express-loadtest: vpxenc: Speed 5 - Bosphorus 1080pastcenc: Fastkvazaar: Bosphorus 4K - Very Fasttnn: CPU - MobileNet v2pyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUrnnoise: aom-av1: Speed 6 Two-Pass - Bosphorus 1080psrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMgimp: unsharp-masksvt-av1: Preset 13 - Bosphorus 4Ktoktx: Zstd Compression 19crafty: Elapsed Timerav1e: 5tnn: CPU - SqueezeNet v1.1pybench: Total For Average Test Timeswebp: Quality 100, Losslesssvt-av1: Preset 4 - Bosphorus 1080pkvazaar: Bosphorus 4K - Super Fastdav1d: Chimera 1080p 10-bitselenium: WASM imageConvolute - Google Chromegimp: resizeaskap: Hogbom Clean OpenMPgimp: auto-levelssvt-av1: Preset 8 - Bosphorus 4Kprimesieve: 1e12srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMtoktx: UASTC 3 + Zstd Compression 19gimp: rotaterav1e: 6kvazaar: Bosphorus 1080p - Slowlulesh: dav1d: Summer Nature 4Kkvazaar: Bosphorus 1080p - Mediumsvt-hevc: 7 - Bosphorus 4Kn-queens: Elapsed Timesvt-vp9: VMAF Optimized - Bosphorus 4Kdav1d: Chimera 1080pastcenc: Mediumrav1e: 10avifenc: 6, Losslessgegl: Scalegegl: Cropsvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 1080punpack-linux: linux-5.19.tar.xzx265: Bosphorus 1080ptoktx: UASTC 3octave-benchmark: aom-av1: Speed 6 Realtime - Bosphorus 1080pencode-mp3: WAV To MP3numenta-nab: Windowed Gaussiandraco: Church Facadeavifenc: 6webp: Quality 100, Highest Compressiontnn: CPU - SqueezeNet v2svt-hevc: 10 - Bosphorus 4Kavifenc: 10, Losslessaom-av1: Speed 10 Realtime - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080pdraco: Lionkvazaar: Bosphorus 1080p - Very Fastx264: Bosphorus 1080pdacapobench: Jythondarktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlyaom-av1: Speed 9 Realtime - Bosphorus 1080pdarktable: Boat - CPU-onlykvazaar: Bosphorus 1080p - Super Fastonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUsvt-hevc: 7 - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pkvazaar: Bosphorus 1080p - Ultra Fastdav1d: Summer Nature 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080plammps: Rhodopsin Proteinwebp: Quality 100svt-hevc: 10 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080pwebp: Defaultdarktable: Server Rack - CPU-onlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X548.476596.2116.510180469.42295.10034816.920559.2346199229.109266.68110479.706273.03480329.4801096.9254.0719.21969.5281.69309.08307.59195074185.2610395.5179305.54691180.189107.5249.3001610.722593.2593458667335.1492.9837448.250020.7272191.1691111.501125.151670329.93609164172155.359.744087465.9112.2916918.7137.175138.71492.403.17117.338.368.5514.569.454.155.4619.486.611.083.672.522.172.487.91502651161434.8375.722122.311.5597993.03733506.3441231130.840167.4581494149.472814.43344.61451.81300904054887.622207.020.65.098798.074831015254.933631.15890.884130512833.426.8731638598561692.2796.359293.93012.2847.186122.6611349.9027224.2477.13444.870.266108215.792180.932140.9513077.385.130.412580.8255.9158.7635126.4619676.944310974.1297.8450653.092384.7868695.2855.47752.9411.60215096.72768112.392.3722311.48750.9161863.81.93375.4067.9354.5554.0072240.873.512259.513.4947.3462.6608721417.265.616.9510.66434.9918.322362.83574.62399.01329.22595.2759.52577.0718.43.85130.5961.204.2021377.111.59689.37436771880.158.36955.9156.87562.2323.49340.0717.151865.091.8117587.931.6619215.543730.6239113744392261849537562609110020453035216167716681767174626.261007.41730725.92185931941.23623.3407.2213453.782.9634.2723.69733815.37366.9833.0754.0260291.5373112.36335.40611375123.324.89331.69918.7519.166.231.9045.2350145233.7222.4830.822436665.927.2030829.8055.4244420.78355621.180.65772544.8125413858.212902.157123.55184.135.0774120.933517761.8233684130.531115.6953313119388.16103299.3844383.1651978.29442800330.681174.6919998722.53015968719883333321.9411.05327.705.642015205.1703.922.638.41752928.771430.174610.96541511920016.01310.314157137.249819.80233.5433314.27513011.637070916.360316.77185.2636.6341.934.3816.947145157182721384.5120.38127.037637.144933.621.20126.1475.9717.6790.1780.9658241.1597.44816398515310.6148654917.31917157000008253733331286633333101.82117.331763646.56339.529343.40153.4370.3295.8706211.65970.26246.9692.9109.5228.211.861220.28912.831145080574.572123.2013882.3512.96855.03698.9815.3412.662628.96110.10566.81211.327229.3618.98.3239.4696.94972.3511725.463429.2175.22103.676.136145.06976.80125.146715.9915.6345.3946.580153.15256.614.15388.154.8735.573254.214.7623.26442733.3135.0635.236203.223.243273.80229.834183.4363239164.74257.5516341.9671.530292.271.940216.381.44865342.53446.60282.101426.55536.29521.5017.57616.39677.40734.091739.38025.480.177505.523470.5317.026178261.86286.90540814.189470.4699201248.827255.34918878.063422.03046493.3261106.1155.7531.32203.4244.01274.02277.21143499158.525116.0856746.17464161.90125.467339.75954.60971219.426430638274.4243.6440056.314017.9705138.398570.786578.1421222208.26833120576130.128.042507753.6119.1757864.8142.80035.039843.194.4475.8511.3912.0014.1211.794.717.2723.708.291.524.343.613.123.578.54364837101907.6926.312002.112.74363140.12531689.582984175.112139.753172863.752198.38336.98668.884557129485184.672107.223.38.043689.823518910987.858942.59586.3229349194.549.5069143728061676.1967.9512874.73946.4643.46265.7881060.5632428.3263.75455.368.719110272.311131.981131.1418679.079.080.452429.3252.1163.9934723.4812898.534980738.0492.4738754.901579.2054185.9454.61549.3512.32120460.23265414.083.4986601.07948.4411830.21.84346.77710.2961.5725.6101045.247.621048.217.5945.1103.791558550.0214.488.3110.79282.2328.312164.14137.32220.81409.32358.9843.62384.0848.85.0658.16137.435.3317165.54.681705.71402191532.654.291860.495.521447.0810.32774.495.522897.960.3545170.180.6126151.552720.7688814558733092989472513659122723233426227100417541578888876.75957.66204021.00217061974.03280.6389.7818820.978.4834.8885.53473510.92076.5435.5045.9586051.8531104.70138.1889996025.185.74634.72722.9523.436.127.0507.8969074425.4624.7632.860384792.524.4011533.0898.2720110.12867821.460.35002437.9903118877.216706.397707.89218.017.6773180.883477980.1437539926.411195.06147653145114.57130380.6146618.1161043.39458013686.751174.3731352721.67428266023596666721.1940.74830.718.419014251.2671.923.3911.15948032.415436.382110.03843076966714.86310.562157537.178223.93533.5394335.52130114.620955017.812518.70237.3618.3347.235.9719.608184635179291372.9102.90106.826265.726168.551.31105.5887.8919.6990.1210.4189261.2506.84712195744602.7150377419.3821637466667802616667157343333390.58109.441157743.62406.613650.71188.7370.2385.1913812.64973.48259.5660.4143.0210.113.044215.19411.483148529275.027179.0565082.2615.66566.90867.7517.6412.463448.95310.68074.7336.109248.2614.48.4319.4537.90889.028487.0880394.4092.19105.345.706113.19989.45143.197518.1555.2067.1386.669121.62214.203.732123.004.9164.747221.434.5723.21745483.0145.4443.761171.023.128243.44215.287211.6723559194.48295.7521672.7132.382241.932.368260.540.578420330.42391.54318.751507.51453.87443.3016.95517.38598.16823.427780.93927.900.154525.079488.9116.407179460.52282.09542115.494365.8488195228.882252.51319617.652332.02725493.3491068.6154.4516.52028.5283.61314.75322.26151355167.954554.1787255.26041190.03321.818745.83424.71179212.222394094276.8603.6119349.286620.2893126.801677.175682.1641280398.33887126769138.527.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61.11993.7171602.1017199.3697.01668.199.52890608.972904.782927.1713212.370.310.311899.5128.2367.8922138.3750044.823135222.88114.67379.4611118.6447943.7983.05476.628.60013665.5213359.952.5429971.83175.1102407.41.32273.5115.7576.8724.0773159.122.513226.892.4670.0542.8134011965.824.035.708.54815.129.771721.22808.31773.01111.51881.9431.51910.0442.23.24213.7837.383.5730030.813.30600.77417322077.4511.66685.2818.23438.3233.25240.3016.65960.201.2013284.361.1114354.782261.09317124808925797269614194909331784251040310321578958907548.721220.11579316.65171403310.14519.2239.6913299.069.2349.6484.01279919.03452.3049.1114.2996211.2602137.71344.4987832917.393.85844.22415.3615.673.632.8265.7265693738.2416.2239.7582911927.858.3100737.7965.8546172.1798717.071.6906054.9276113605.512178.464658.29252.805.5465970.723407082.5424924097.80780.3548297111113.8478872.2131804.8947950.68348947306.65827.5615527034.66115008016853333332.3401.01021.135.983369186.3549.720.659.67686223.621422.526312.34920999413322.61713.455187224.449728.28124.7432267.38284939.178113312.024214.83174.9502.7448.426.9726.90214003694633471.265.1770.333214.732793.170.9368.9957.3223.6190.1711.122530.94911.0119437743650.3142005623.1011068633333582483333102136666758.7555.58727936.34281.084634.78237.3280.40019.159015.43941.99196.3555.779.9163.615.416124.63614.453115346173.769213.0526321.8811.30844.50542.5321.8213.834219.78412.72948.12910.648190.7511.810.42311.8365.76364.225160.0311212.5366.7766.737.05952.66720.1397.584013.4497.5988.5048.21656.68141.994.58589.446.4126.387144.005.6095.11150814.5854.5352.20593.794.441142.69120.159141.0423931137.52208.2428284.8594.638163.154.332177.471.69250222.44219.69220.271028.12231.90227.8312.76814.01365.74548.919491.08121.980.258OpenBenchmarking.org

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 6.1Build: allmodconfigCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.55, N = 3SE +/- 0.58, N = 3SE +/- 0.57, N = 3548.48505.52525.081389.67829.58
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250Min: 10.34 / Avg: 212.64 / Max: 286.98Min: 18.5 / Avg: 201.5 / Max: 217.76Min: 21.02 / Avg: 125.96 / Max: 136.05Min: 22.4 / Avg: 118.09 / Max: 122.94Min: 18.3 / Avg: 141.85 / Max: 147.5

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 3.4Blend File: Barbershop - Compute: CPU-OnlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 0.23, N = 3SE +/- 0.52, N = 3SE +/- 0.46, N = 3SE +/- 0.68, N = 3SE +/- 0.82, N = 3596.21470.53488.911347.10754.35
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption MonitorCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250Min: 10.49 / Avg: 217.51 / Max: 301.48Min: 18.91 / Avg: 212.24 / Max: 221.16Min: 20.41 / Avg: 131.02 / Max: 136.99Min: 22.37 / Avg: 118.73 / Max: 122.64Min: 6.39 / Avg: 137.54 / Max: 145.63

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.171, N = 3SE +/- 0.068, N = 3SE +/- 0.044, N = 3SE +/- 0.010, N = 3SE +/- 0.132, N = 416.51017.02616.4077.34112.4521. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.0290.0580.0870.1160.1450.0760.0860.1290.0660.088
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250Min: 10.35 / Avg: 218.14 / Max: 289.14Min: 16.29 / Avg: 198.52 / Max: 209.19Min: 20.39 / Avg: 127.49 / Max: 130.83Min: 20.94 / Avg: 111.81 / Max: 114.05Min: 17.05 / Avg: 141.95 / Max: 145.19

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 11.84, N = 3SE +/- 10.15, N = 3SE +/- 15.17, N = 3SE +/- 6.12, N = 3SE +/- 6.80, N = 918041782179410927261. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: EigenCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5101520258.68810.48819.4319.6475.209
MinAvgMaxCore i9 13900K10.4207.6276.6Ryzen 9 7950X20.2169.9190.5Ryzen 9 7950X3D16.092.3107.3Ryzen 7 5800X3D22.7113.2126.7Ryzen 9 5950X22.7139.4145.8OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor70140210280350

OpenEMS

OpenEMS is a free and open electromagnetic field solver using the FDTD method. This test profile runs OpenEMS and pyEMS benchmark demos. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: pyEMS CouplerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1530456075SE +/- 0.54, N = 3SE +/- 0.65, N = 4SE +/- 0.24, N = 3SE +/- 0.42, N = 3SE +/- 0.27, N = 369.4261.8660.5245.8846.561. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat
OpenBenchmarking.orgMCells/s Per Watt, More Is BetterOpenEMS 0.0.35-86Test: pyEMS CouplerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.17060.34120.51180.68240.8530.4570.4570.7580.4920.359
MinAvgMaxCore i9 13900K10.4151.9165.8Ryzen 9 7950X18.2135.4161.1Ryzen 9 7950X3D11.379.883.9Ryzen 7 5800X3D18.593.3122.9Ryzen 9 5950X18.9129.8139.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenEMS 0.0.35-86CPU Power Consumption Monitor50100150200250

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 3.42, N = 3SE +/- 0.94, N = 3SE +/- 2.61, N = 3SE +/- 2.88, N = 3SE +/- 4.98, N = 3295.10286.91282.10666.08448.53
MinAvgMaxCore i9 13900K10.3191.9275.0Ryzen 9 7950X19.1168.5211.1Ryzen 9 7950X3D19.1107.0133.7Ryzen 7 5800X3D20.8107.5120.8Ryzen 9 5950X26.5135.8145.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor70140210280350

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3348408421156229MIN: 37 / MAX: 4964MIN: 55 / MAX: 5382MIN: 53 / MAX: 5933MIN: 17 / MAX: 2343MIN: 30 / MAX: 2942
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.9521.9042.8563.8084.761.7332.5214.2311.5661.766
MinAvgMaxCore i9 13900K10.4200.8299.9Ryzen 9 7950X17.4161.8230.8Ryzen 9 7950X3D18.099.5125.3Ryzen 7 5800X3D15.299.6129.9Ryzen 9 5950X18.5129.6145.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption Monitor80160240320400

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 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.22, N = 15SE +/- 0.06, N = 3SE +/- 0.59, N = 15SE +/- 0.48, N = 15SE +/- 0.22, N = 1516.9214.1915.4924.2224.951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1632486480SE +/- 0.77, N = 15SE +/- 0.29, N = 3SE +/- 2.46, N = 15SE +/- 0.75, N = 15SE +/- 0.35, N = 1559.2370.4765.8541.5040.131. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.22, N = 15SE +/- 0.06, N = 3SE +/- 0.59, N = 15SE +/- 0.48, N = 15SE +/- 0.22, N = 1516.9214.1915.4924.2224.951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 0.88, N = 3SE +/- 0.00, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 319920119591143MIN: 20 / MAX: 3859MIN: 19 / MAX: 3717MIN: 17 / MAX: 3736MIN: 8 / MAX: 1908MIN: 14 / MAX: 2735
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.42050.8411.26151.6822.10250.9971.1651.8690.8931.114
MinAvgMaxCore i9 13900K10.4199.5290.3Ryzen 9 7950X18.7172.5225.9Ryzen 9 7950X3D20.7104.3126.9Ryzen 7 5800X3D19.7101.9130.7Ryzen 9 5950X24.6128.4145.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption Monitor70140210280350

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 2.10Benchmark: particle_volume/pathtracer/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 3229.11248.83228.88115.16168.03
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.51141.02281.53422.04562.5571.1921.4102.2731.0341.218
MinAvgMaxCore i9 13900K10.4192.2284.9Ryzen 9 7950X20.4176.4220.2Ryzen 9 7950X3D20.2100.7118.0Ryzen 7 5800X3D22.6111.4126.9Ryzen 9 5950X24.7137.9145.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3266.68255.35252.51646.22418.07
MinAvgMaxCore i9 13900K10.4206.0273.7Ryzen 9 7950X19.1181.8212.3Ryzen 9 7950X3D20.0116.9133.1Ryzen 7 5800X3D19.1110.0119.0Ryzen 9 5950X28.3140.1145.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor70140210280350

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 12.81, N = 3SE +/- 18.32, N = 3SE +/- 26.59, N = 3SE +/- 17.36, N = 3SE +/- 5.61, N = 310471887196112757911. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: BLASCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5101520255.09411.24822.47511.6595.593
MinAvgMaxCore i9 13900K10.4205.5293.9Ryzen 9 7950X18.6167.8187.2Ryzen 9 7950X3D20.687.3104.2Ryzen 7 5800X3D20.0109.4123.4Ryzen 9 5950X17.6141.4145.8OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor70140210280350

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 2.10Benchmark: particle_volume/scivis/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.00250, N = 3SE +/- 0.00149, N = 3SE +/- 0.00443, N = 3SE +/- 0.00227, N = 3SE +/- 0.00390, N = 39.706278.063427.652333.465476.31897
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.0180.0360.0540.0720.090.0520.0500.0800.0330.045
MinAvgMaxCore i9 13900K10.5186.6278.9Ryzen 9 7950X20.2160.3190.3Ryzen 9 7950X3D20.895.2112.0Ryzen 7 5800X3D20.3106.3117.2Ryzen 9 5950X22.9139.7145.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

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 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.16942.33883.50824.67765.847SE +/- 0.02151, N = 3SE +/- 0.02430, N = 15SE +/- 0.02285, N = 3SE +/- 0.08142, N = 15SE +/- 0.05352, N = 153.034802.030462.027255.197213.814811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X110220330440550SE +/- 2.35, N = 3SE +/- 5.64, N = 15SE +/- 5.55, N = 3SE +/- 2.92, N = 15SE +/- 3.54, N = 15329.48493.33493.35193.04262.801. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.16942.33883.50824.67765.847SE +/- 0.02151, N = 3SE +/- 0.02430, N = 15SE +/- 0.02285, N = 3SE +/- 0.08142, N = 15SE +/- 0.05352, N = 153.034802.030462.027255.197213.814811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 0.32, N = 3SE +/- 0.73, N = 3SE +/- 6.62, N = 7SE +/- 0.94, N = 3SE +/- 0.81, N = 31096.91106.11068.6801.5846.8
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterLuaRadio 0.9.1Test: Complex PhaseCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X51015202518.3915.4220.1514.6112.56
MinAvgMaxCore i9 13900K10.059.7115.0Ryzen 9 7950X18.971.7112.3Ryzen 9 7950X3D19.253.067.8Ryzen 7 5800X3D19.254.997.5Ryzen 9 5950X18.367.4123.9OpenBenchmarking.orgWatts, Fewer Is BetterLuaRadio 0.9.1CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 0.38, N = 3SE +/- 0.15, N = 3SE +/- 0.57, N = 7SE +/- 0.15, N = 3SE +/- 0.44, N = 3254.0155.7154.4119.3127.6

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X160320480640800SE +/- 0.93, N = 3SE +/- 0.85, N = 3SE +/- 4.12, N = 7SE +/- 0.86, N = 3SE +/- 2.51, N = 3719.2531.3516.5442.3473.7

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 13.89, N = 3SE +/- 31.40, N = 3SE +/- 18.74, N = 7SE +/- 8.03, N = 3SE +/- 10.92, N = 31969.52203.42028.51823.01627.9

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, First Run / Cold CacheCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X60120180240300SE +/- 0.91, N = 3SE +/- 2.81, N = 4SE +/- 2.97, N = 3SE +/- 1.62, N = 3281.69244.01283.61126.29MIN: 16.55 / MAX: 8571.43MIN: 12.67 / MAX: 8571.43MIN: 13.28 / MAX: 8571.43MIN: 5.9 / MAX: 8571.43

100M Rows Hits Dataset, First Run / Cold Cache

Ryzen 7 5800X3D: The test run did not produce a result.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X70140210280350SE +/- 2.15, N = 3SE +/- 3.50, N = 4SE +/- 1.87, N = 3SE +/- 1.03, N = 3309.08274.02314.75137.63MIN: 20.75 / MAX: 10000MIN: 16.73 / MAX: 10000MIN: 19.82 / MAX: 8571.43MIN: 6.19 / MAX: 10000

100M Rows Hits Dataset, Second Run

Ryzen 7 5800X3D: The test run did not produce a result.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X70140210280350SE +/- 1.90, N = 3SE +/- 1.36, N = 4SE +/- 1.70, N = 3SE +/- 0.50, N = 3307.59277.21322.26141.29MIN: 20.63 / MAX: 8571.43MIN: 15.12 / MAX: 12000MIN: 19.85 / MAX: 10000MIN: 6.32 / MAX: 8571.43
OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X0.94071.88142.82213.76284.70352.1542.3674.1811.158
MinAvgMaxCore i9 13900K10.3142.8294.2Ryzen 9 7950X18.7117.1219.9Ryzen 9 7950X3D18.977.1134.7Ryzen 9 5950X19.5122.1145.7OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor70140210280350

100M Rows Hits Dataset, Third Run

Ryzen 7 5800X3D: The test run did not produce a result.

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 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90K180K270K360K450KSE +/- 434.74, N = 3SE +/- 74.18, N = 3SE +/- 1232.82, N = 3SE +/- 1552.60, N = 3SE +/- 317.64, N = 31950741434991513554366782397451. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.6208.3292.1Ryzen 9 7950X19.3198.7219.2Ryzen 9 7950X3D18.1112.3119.5Ryzen 7 5800X3D22.5117.2122.3Ryzen 9 5950X17.9133.1139.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

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 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.40, N = 3SE +/- 0.28, N = 3185.26158.52167.95432.43245.98
MinAvgMaxCore i9 13900K10.5214.4304.2Ryzen 9 7950X18.5210.6228.7Ryzen 9 7950X3D20.7137.7143.7Ryzen 7 5800X3D22.2125.8130.3Ryzen 9 5950X21.5132.7137.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor80160240320400

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2K4K6K8K10KSE +/- 7.19, N = 3SE +/- 94.44, N = 15SE +/- 94.70, N = 12SE +/- 84.00, N = 15SE +/- 52.25, N = 1510395.525116.094554.185021.845156.191. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250240.9287.95115.53116.6092.65
MinAvgMaxCore i9 13900K10.043.148.4Ryzen 9 7950X17.958.262.3Ryzen 9 7950X3D17.039.441.6Ryzen 7 5800X3D17.443.147.0Ryzen 9 5950X16.655.762.4OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0CPU Power Consumption Monitor20406080100

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 1.14Model: GPT-2 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.00305, N = 3SE +/- 0.02430, N = 3SE +/- 0.00600, N = 3SE +/- 0.08499, N = 15SE +/- 0.11476, N = 155.546916.174645.260417.187238.180751. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 0.10, N = 3SE +/- 0.64, N = 3SE +/- 0.22, N = 3SE +/- 1.55, N = 15SE +/- 1.68, N = 15180.19161.90190.03139.34122.531. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.00305, N = 3SE +/- 0.02430, N = 3SE +/- 0.00600, N = 3SE +/- 0.08499, N = 15SE +/- 0.11476, N = 155.546916.174645.260417.187238.180751. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.05, N = 3SE +/- 0.72, N = 15SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 1.04, N = 15107.5225.4721.8231.1935.621. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1020304050SE +/- 0.00412, N = 3SE +/- 1.24791, N = 15SE +/- 0.32106, N = 3SE +/- 0.02848, N = 3SE +/- 0.85477, N = 159.3001639.7595045.8342032.0580028.420701. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.05, N = 3SE +/- 0.72, N = 15SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 1.04, N = 15107.5225.4721.8231.1935.621. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.00201, N = 3SE +/- 0.14482, N = 15SE +/- 0.00590, N = 3SE +/- 0.53809, N = 15SE +/- 0.04597, N = 310.722504.609714.7117910.354389.571961. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.02, N = 3SE +/- 5.71, N = 15SE +/- 0.27, N = 3SE +/- 4.42, N = 15SE +/- 0.50, N = 393.26219.43212.2299.76104.471. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.00201, N = 3SE +/- 0.14482, N = 15SE +/- 0.00590, N = 3SE +/- 0.53809, N = 15SE +/- 0.04597, N = 310.722504.609714.7117910.354389.571961. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

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 7.34VGR Performance MetricCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100K200K300K400K500K4586674306383940941667302743911. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6
OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.34VGR Performance MetricCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70014002100280035002101.862071.503080.311398.592045.01
MinAvgMaxCore i9 13900K10.1218.2300.4Ryzen 9 7950X20.3207.9227.8Ryzen 9 7950X3D20.8127.9136.8Ryzen 7 5800X3D18.5119.2130.2Ryzen 9 5950X21.8134.2139.5OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.34CPU Power Consumption Monitor80160240320400

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 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X130260390520650SE +/- 0.41, N = 3SE +/- 0.45, N = 3SE +/- 0.29, N = 3SE +/- 14.25, N = 12SE +/- 27.51, N = 15335.15274.42276.86598.45558.841. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.81991.63982.45973.27964.0995SE +/- 0.00365, N = 3SE +/- 0.00601, N = 3SE +/- 0.00385, N = 3SE +/- 0.03603, N = 12SE +/- 0.08488, N = 152.983743.644003.611931.680371.847901. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X130260390520650SE +/- 0.41, N = 3SE +/- 0.45, N = 3SE +/- 0.29, N = 3SE +/- 14.25, N = 12SE +/- 27.51, N = 15335.15274.42276.86598.45558.841. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1428425670SE +/- 0.37, N = 3SE +/- 1.83, N = 12SE +/- 0.10, N = 3SE +/- 0.34, N = 3SE +/- 1.70, N = 1548.2556.3149.2960.0663.691. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.16, N = 3SE +/- 0.60, N = 12SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 1520.7317.9720.2916.6515.841. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1428425670SE +/- 0.37, N = 3SE +/- 1.83, N = 12SE +/- 0.10, N = 3SE +/- 0.34, N = 3SE +/- 1.70, N = 1548.2556.3149.2960.0663.691. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

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 22.1Input: Carbon NanotubeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350SE +/- 0.75, N = 3SE +/- 0.36, N = 3SE +/- 0.37, N = 3SE +/- 0.29, N = 3SE +/- 0.58, N = 3191.17138.40126.80308.46302.761. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxCore i9 13900K10.4213.4282.9Ryzen 9 7950X20.3151.2199.8Ryzen 9 7950X3D20.0101.8133.6Ryzen 7 5800X3D17.993.2131.2Ryzen 9 5950X25.0132.3145.6OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 22.1CPU Power Consumption Monitor70140210280350

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 10.69, N = 15SE +/- 0.34, N = 3SE +/- 2.97, N = 3SE +/- 0.76, N = 3SE +/- 22.47, N = 151111.50570.79677.181381.462323.83MIN: 1016.3MIN: 566.8MIN: 668.44-lpthread - MIN: 1368.51-lpthread - MIN: 2134.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption MonitorCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250Min: 10.49 / Avg: 217.61 / Max: 291.61Min: 19.87 / Avg: 194.88 / Max: 231.55Min: 21.08 / Avg: 104.39 / Max: 125.71Min: 16.93 / Avg: 125.48 / Max: 142.11Min: 4.63 / Avg: 113.32 / Max: 145.48

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 9.18, N = 15SE +/- 2.61, N = 3SE +/- 5.12, N = 3SE +/- 1.30, N = 3SE +/- 32.81, N = 151125.15578.14682.161383.292257.09MIN: 1014.77MIN: 568.99MIN: 668.42-lpthread - MIN: 1369.05-lpthread - MIN: 2024.071. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption MonitorCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250Min: 10.41 / Avg: 217.17 / Max: 292.03Min: 19.77 / Avg: 194.28 / Max: 229.06Min: 20.81 / Avg: 104.38 / Max: 125.43Min: 15.98 / Avg: 124.61 / Max: 141.24Min: 9.49 / Avg: 114.15 / Max: 145.63

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 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X80K160K240K320K400KSE +/- 119.23, N = 3SE +/- 37.35, N = 3SE +/- 250.15, N = 3SE +/- 512.84, N = 3SE +/- 253.11, N = 31670321222201280393738572056321. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4206.8290.8Ryzen 9 7950X19.6197.0223.2Ryzen 9 7950X3D19.2111.0118.6Ryzen 7 5800X3D20.8115.3121.5Ryzen 9 5950X25.5132.5139.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

High Performance Conjugate Gradient

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.02513, N = 3SE +/- 0.00551, N = 3SE +/- 0.00260, N = 3SE +/- 0.00412, N = 3SE +/- 0.00040, N = 39.936098.268338.338874.571454.252501. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.02360.04720.07080.09440.1180.0510.0740.1050.0640.039
MinAvgMaxCore i9 13900K10.4193.8225.4Ryzen 9 7950X19.2111.5142.5Ryzen 9 7950X3D19.979.599.8Ryzen 7 5800X3D21.971.383.9Ryzen 9 5950X21.8110.0141.8OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor60120180240300

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 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X80K160K240K320K400KSE +/- 307.43, N = 3SE +/- 235.20, N = 3SE +/- 259.60, N = 3SE +/- 534.98, N = 3SE +/- 247.07, N = 31641721205761267693692902034521. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4205.8293.2Ryzen 9 7950X20.3196.7221.5Ryzen 9 7950X3D20.5111.3119.0Ryzen 7 5800X3D20.1116.5122.8Ryzen 9 5950X19.2131.9139.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

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 3.4Blend File: Classroom - Compute: CPU-OnlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X80160240320400SE +/- 0.48, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.30, N = 3SE +/- 0.27, N = 3155.35130.12138.52370.89204.89
MinAvgMaxCore i9 13900K10.3213.6299.2Ryzen 9 7950X19.6210.7228.2Ryzen 9 7950X3D17.1131.3137.1Ryzen 7 5800X3D14.5116.2119.4Ryzen 9 5950X25.7135.4138.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor80160240320400

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 2.10Benchmark: particle_volume/ao/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.02158, N = 3SE +/- 0.03437, N = 3SE +/- 0.00289, N = 3SE +/- 0.00276, N = 3SE +/- 0.00967, N = 39.744088.042507.548593.506836.41632
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01550.0310.04650.0620.07750.0460.0440.0690.0310.047
MinAvgMaxCore i9 13900K10.5213.9277.0Ryzen 9 7950X20.4183.5191.9Ryzen 9 7950X3D16.9109.2113.0Ryzen 7 5800X3D18.1113.3117.1Ryzen 9 5950X24.4136.7140.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

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: ALS Movie LensCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2K4K6K8K10KSE +/- 88.59, N = 3SE +/- 61.73, N = 3SE +/- 40.26, N = 3SE +/- 39.34, N = 3SE +/- 69.78, N = 37465.97753.68138.77206.19690.6MIN: 7341.05 / MAX: 8523.11MIN: 7639.03 / MAX: 8533.02MIN: 8080.45 / MAX: 8962.17MIN: 7129.39 / MAX: 7874.76MIN: 9552.49 / MAX: 10637.03
MinAvgMaxCore i9 13900K10.293.5162.6Ryzen 9 7950X17.287.0139.9Ryzen 9 7950X3D19.458.883.5Ryzen 7 5800X3D24.070.4104.9Ryzen 9 5950X22.1104.1141.7OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor50100150200250

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 0.21, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 3112.29119.18126.41290.75158.21
MinAvgMaxCore i9 13900K10.1204.3270.9Ryzen 9 7950X21.0186.9204.7Ryzen 9 7950X3D16.7111.8121.5Ryzen 7 5800X3D19.6109.3113.7Ryzen 9 5950X25.0135.0142.8OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor70140210280350

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: Akka Unbalanced Cobwebbed TreeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2K4K6K8K10KSE +/- 35.60, N = 3SE +/- 24.66, N = 3SE +/- 28.12, N = 3SE +/- 9.33, N = 3SE +/- 30.44, N = 36918.77864.87629.37444.711189.2MIN: 5248.75 / MAX: 6987.6MIN: 5963.11 / MAX: 7906.57MIN: 5687.47 / MAX: 7670.83MIN: 5592.56 / MAX: 7455.91MIN: 8671.38 / MAX: 11226.58
MinAvgMaxCore i9 13900K10.2156.7196.0Ryzen 9 7950X17.8125.0139.2Ryzen 9 7950X3D18.283.392.2Ryzen 7 5800X3D20.383.6109.8Ryzen 9 5950X11.3129.2144.2OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor50100150200250

Gcrypt Library

Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.24, N = 3137.18142.80157.57182.35173.501. (CC) gcc options: -O2 -fvisibility=hidden
MinAvgMaxCore i9 13900K10.036.347.4Ryzen 9 7950X19.153.857.8Ryzen 9 7950X3D20.138.942.1Ryzen 7 5800X3D19.539.542.1Ryzen 9 5950X27.352.656.4OpenBenchmarking.orgWatts, Fewer Is BetterGcrypt Library 1.9CPU Power Consumption Monitor1632486480

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 2.80, N = 12SE +/- 0.04, N = 3SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3138.7135.0431.6966.0780.751. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption MonitorCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250Min: 10.38 / Avg: 212.81 / Max: 278.02Min: 18.01 / Avg: 132.07 / Max: 157.81Min: 16.18 / Avg: 92.16 / Max: 106.61Min: 18.65 / Avg: 87.94 / Max: 93.12Min: 12.84 / Avg: 127.67 / Max: 134.61

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.8641.7282.5923.4564.32SE +/- 0.05, N = 14SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.403.193.451.983.84MIN: 2.12 / MAX: 4.2MIN: 3.15 / MAX: 5.17MIN: 3.37 / MAX: 3.93MIN: 1.92 / MAX: 4.62MIN: 3.77 / MAX: 4.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20220729CPU Power Consumption MonitorCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200Min: 10.35 / Avg: 170.57 / Max: 207.01Min: 18.87 / Avg: 115.29 / Max: 158.91Min: 20.4 / Avg: 72.07 / Max: 93.87Min: 21.04 / Avg: 92.69 / Max: 107.83Min: 24.91 / Avg: 125.19 / Max: 145.68

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.1162.2323.3484.4645.58SE +/- 0.10, N = 15SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 33.174.444.782.314.96MIN: 2.82 / MAX: 8.94MIN: 4.35 / MAX: 4.97MIN: 4.66 / MAX: 5.22MIN: 2.27 / MAX: 2.57MIN: 4.79 / MAX: 5.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.57, N = 15SE +/- 1.15, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3117.3375.8580.54148.93113.98MIN: 114.58 / MAX: 811.08MIN: 74.42 / MAX: 99.17MIN: 80.17 / MAX: 86.18MIN: 148.35 / MAX: 152.87MIN: 113.39 / MAX: 119.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.18, N = 15SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 38.3611.3912.225.7312.38MIN: 7.42 / MAX: 11.26MIN: 11.2 / MAX: 12.36MIN: 11.96 / MAX: 13.32MIN: 5.66 / MAX: 8.34MIN: 12.1 / MAX: 12.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.13, N = 15SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 38.5512.0011.978.6017.82MIN: 7.56 / MAX: 12.27MIN: 11.85 / MAX: 14.84MIN: 11.77 / MAX: 12.85MIN: 8.18 / MAX: 22.62MIN: 16.72 / MAX: 24.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.93, N = 15SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 314.5614.1214.4312.4522.70MIN: 10.97 / MAX: 1397.59MIN: 13.84 / MAX: 14.76MIN: 14.2 / MAX: 21.29MIN: 11.5 / MAX: 17.65MIN: 21.12 / MAX: 29.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.04, N = 15SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 39.4511.7911.5612.8420.98MIN: 9.09 / MAX: 81.37MIN: 11.53 / MAX: 12.86MIN: 11.37 / MAX: 16.98MIN: 12.64 / MAX: 16.1MIN: 20.28 / MAX: 22.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.03, N = 15SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 34.154.714.764.397.44MIN: 3.86 / MAX: 6.43MIN: 4.62 / MAX: 5.43MIN: 4.49 / MAX: 5.41MIN: 4.29 / MAX: 7.46MIN: 7.03 / MAX: 8.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.04, N = 15SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.467.276.875.7910.51MIN: 5.16 / MAX: 9.86MIN: 7.13 / MAX: 8.04MIN: 6.74 / MAX: 7.74MIN: 5.52 / MAX: 9.01MIN: 10.29 / MAX: 11.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1122334455SE +/- 0.28, N = 15SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 319.4823.7024.6332.7749.69MIN: 17.92 / MAX: 728.96MIN: 23.53 / MAX: 24.8MIN: 24.02 / MAX: 26.03MIN: 32.35 / MAX: 36.14MIN: 48.53 / MAX: 56.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.07, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 36.618.298.665.0512.10MIN: 6.02 / MAX: 11.08MIN: 8.16 / MAX: 14.32MIN: 8.46 / MAX: 14.3MIN: 4.96 / MAX: 8.3MIN: 11.75 / MAX: 18.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.40280.80561.20841.61122.014SE +/- 0.02, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.081.521.630.741.79MIN: 0.9 / MAX: 1.73MIN: 1.49 / MAX: 2.02MIN: 1.6 / MAX: 2MIN: 0.72 / MAX: 3.38MIN: 1.71 / MAX: 3.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.06, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 33.674.344.713.356.01MIN: 3.25 / MAX: 5.58MIN: 4.27 / MAX: 5MIN: 4.61 / MAX: 5.29MIN: 3.28 / MAX: 6.15MIN: 5.87 / MAX: 8.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.94281.88562.82843.77124.714SE +/- 0.07, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.523.613.831.964.19MIN: 2.24 / MAX: 3.55MIN: 3.55 / MAX: 4.12MIN: 3.75 / MAX: 5.16MIN: 1.93 / MAX: 4.46MIN: 4.1 / MAX: 4.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.8731.7462.6193.4924.365SE +/- 0.04, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.173.123.381.833.88MIN: 1.96 / MAX: 5.03MIN: 3.07 / MAX: 3.52MIN: 3.31 / MAX: 3.9MIN: 1.75 / MAX: 5.77MIN: 3.78 / MAX: 9.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.0442.0883.1324.1765.22SE +/- 0.06, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 32.483.573.862.074.64MIN: 2.17 / MAX: 4.67MIN: 3.51 / MAX: 4.09MIN: 3.78 / MAX: 4.38MIN: 1.99 / MAX: 4.7MIN: 4.34 / MAX: 5.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.21, N = 15SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 37.918.549.067.1513.15MIN: 6.32 / MAX: 12.55MIN: 8.35 / MAX: 52.67MIN: 8.94 / MAX: 9.49MIN: 6.96 / MAX: 10.03MIN: 12.8 / MAX: 13.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2K4K6K8K10KSE +/- 3.28, N = 3SE +/- 5.17, N = 3SE +/- 1.53, N = 3SE +/- 34.69, N = 3SE +/- 3.38, N = 35026364838521137461901. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4204.8287.9Ryzen 9 7950X17.5196.7223.2Ryzen 9 7950X3D18.0112.8124.5Ryzen 7 5800X3D22.8112.0122.4Ryzen 9 5950X19.1130.1139.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2K4K6K8K10KSE +/- 4.33, N = 3SE +/- 3.79, N = 3SE +/- 0.67, N = 3SE +/- 7.57, N = 3SE +/- 11.46, N = 35116371040011153462811. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4204.9290.8Ryzen 9 7950X20.6197.2219.3Ryzen 9 7950X3D18.8104.7116.3Ryzen 7 5800X3D18.2112.5121.8Ryzen 9 5950X23.9130.4139.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 1.41, N = 3SE +/- 1.67, N = 3SE +/- 4.05, N = 3SE +/- 2.70, N = 3SE +/- 0.47, N = 31434.841907.692038.092593.472378.96MIN: 1379.25 / MAX: 1556.79MIN: 1861.57 / MAX: 1981.86MIN: 1995.44 / MAX: 2119.35MIN: 2525.74 / MAX: 2660.46MIN: 2319.36 / MAX: 2464.771. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxCore i9 13900K10.397.4110.9Ryzen 9 7950X20.482.187.3Ryzen 9 7950X3D20.754.257.2Ryzen 7 5800X3D16.462.164.7Ryzen 9 5950X12.5101.5108.5OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor20406080100

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: 1 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.726.315.802.384.101. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01060.02120.03180.04240.0530.0270.0300.0470.0200.032
MinAvgMaxCore i9 13900K10.5210.8296.0Ryzen 9 7950X19.3209.7230.7Ryzen 9 7950X3D19.5123.6131.2Ryzen 7 5800X3D20.2121.8130.5Ryzen 9 5950X17.0129.0139.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 0.23, N = 3SE +/- 10.13, N = 3SE +/- 14.78, N = 15SE +/- 15.68, N = 3SE +/- 4.14, N = 62122.32002.11853.11508.71583.6-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X91827364540.8032.0239.3031.1324.07
MinAvgMaxCore i9 13900K10.052.079.3Ryzen 9 7950X18.962.585.2Ryzen 9 7950X3D16.547.258.4Ryzen 7 5800X3D17.648.562.9Ryzen 9 5950X18.465.887.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 15SE +/- 0.03, N = 3SE +/- 0.10, N = 611.512.714.410.810.3-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

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 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15KSE +/- 21.40, N = 3SE +/- 8.50, N = 3SE +/- 10.26, N = 3SE +/- 22.48, N = 3SE +/- 15.45, N = 35979436345851346773341. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.5205.1292.4Ryzen 9 7950X20.5198.0223.4Ryzen 9 7950X3D20.7112.7124.3Ryzen 7 5800X3D23.1107.4122.3Ryzen 9 5950X21.0130.3139.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

WireGuard + Linux Networking Stack Stress Test

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 0.24, N = 3SE +/- 1.80, N = 3SE +/- 0.21, N = 3SE +/- 0.55, N = 3SE +/- 0.90, N = 393.04140.13147.67135.59158.72
MinAvgMaxCore i9 13900K10.2147.6218.2Ryzen 9 7950X18.1114.6143.3Ryzen 9 7950X3D16.274.688.6Ryzen 7 5800X3D23.282.6109.8Ryzen 9 5950X25.2135.1145.7OpenBenchmarking.orgWatts, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Power Consumption Monitor60120180240300

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7K14K21K28K35KSE +/- 397.29, N = 15SE +/- 461.56, N = 12SE +/- 429.48, N = 12SE +/- 249.82, N = 15SE +/- 746.94, N = 1233506.3431689.5832093.1928761.7830771.851. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: IO_uringCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X150300450600750530.03474.96570.21699.51619.70
MinAvgMaxCore i9 13900K10.163.274.2Ryzen 9 7950X16.466.780.2Ryzen 9 7950X3D19.656.362.5Ryzen 7 5800X3D12.841.145.5Ryzen 9 5950X20.549.786.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

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 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20K40K60K80K100KSE +/- 45.17, N = 3SE +/- 63.50, N = 3SE +/- 41.87, N = 3SE +/- 301.80, N = 3SE +/- 32.67, N = 341231298413136397668506421. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4203.2292.8Ryzen 9 7950X19.4196.2219.5Ryzen 9 7950X3D18.3113.0124.4Ryzen 7 5800X3D20.7108.5121.8Ryzen 9 5950X17.7130.9139.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

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 8.0Length: 1e13Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.30, N = 3SE +/- 0.17, N = 3130.8475.1183.03223.96133.291. (CXX) g++ options: -O3
MinAvgMaxCore i9 13900K10.4211.9266.5Ryzen 9 7950X17.4210.2226.5Ryzen 9 7950X3D20.7123.3130.3Ryzen 7 5800X3D21.9124.5137.5Ryzen 9 5950X18.8126.9134.7OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350167.46139.75145.63316.43192.36
MinAvgMaxCore i9 13900K10.2203.9283.6Ryzen 9 7950X19.9193.7225.1Ryzen 9 7950X3D20.8118.0134.3Ryzen 7 5800X3D24.6115.4123.7Ryzen 9 5950X19.7135.1145.5OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X9001800270036004500SE +/- 7.04, N = 3SE +/- 14.19, N = 3SE +/- 21.27, N = 6SE +/- 2.80, N = 3SE +/- 1.56, N = 34149.472863.752951.491588.411344.171. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X102030405035.7631.0944.3126.3013.74
MinAvgMaxCore i9 13900K10.3116.0181.0Ryzen 9 7950X19.492.0117.9Ryzen 9 7950X3D18.366.688.6Ryzen 7 5800X3D22.060.476.4Ryzen 9 5950X25.897.9115.0OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 3.81, N = 3SE +/- 0.19, N = 3SE +/- 24.86, N = 6SE +/- 1.70, N = 3SE +/- 0.32, N = 32814.432198.382510.85933.62784.791. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Radiance Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100200300400500344.61336.99329.74460.15426.55
MinAvgMaxCore i9 13900K10.244.847.2Ryzen 9 7950X20.360.761.7Ryzen 9 7950X3D21.357.858.8Ryzen 7 5800X3D20.142.145.0Ryzen 9 5950X27.152.454.8OpenBenchmarking.orgWatts, Fewer Is BetterRadiance Benchmark 5.0CPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.36, N = 12SE +/- 0.10, N = 3SE +/- 0.69, N = 3SE +/- 0.21, N = 3SE +/- 2.10, N = 351.8168.8859.17129.90157.031. (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
MinAvgMaxCore i9 13900K10.4184.8233.9Ryzen 9 7950X17.0113.8124.8Ryzen 9 7950X3D20.383.591.3Ryzen 7 5800X3D18.074.479.4Ryzen 9 5950X24.8119.3130.0OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor60120180240300

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 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20K40K60K80K100KSE +/- 49.83, N = 3SE +/- 58.60, N = 3SE +/- 37.51, N = 3SE +/- 224.96, N = 3SE +/- 69.22, N = 340548294853179396810499271. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4202.4293.3Ryzen 9 7950X20.0197.1224.7Ryzen 9 7950X3D18.7103.8116.9Ryzen 7 5800X3D17.6108.1122.5Ryzen 9 5950X20.1130.3139.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 1.63, N = 15SE +/- 0.89, N = 3SE +/- 2.45, N = 15SE +/- 0.71, N = 15SE +/- 1.87, N = 1287.62184.67182.9724.38119.921. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CPU CacheCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.59361.18721.78082.37442.9681.0861.7342.6380.3531.007
MinAvgMaxCore i9 13900K10.280.7139.8Ryzen 9 7950X19.9106.5135.9Ryzen 9 7950X3D14.169.488.4Ryzen 7 5800X3D19.669.1107.4Ryzen 9 5950X20.8119.0145.7OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 2.46, N = 3SE +/- 1.43, N = 3SE +/- 18.52, N = 15SE +/- 5.32, N = 3SE +/- 1.51, N = 32207.02107.21979.11575.41663.6-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X91827364533.5029.0937.7228.0322.14
MinAvgMaxCore i9 13900K10.165.9116.7Ryzen 9 7950X18.972.4104.6Ryzen 9 7950X3D18.652.570.5Ryzen 7 5800X3D17.356.281.9Ryzen 9 5950X13.175.2108.6OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.34, N = 15SE +/- 0.09, N = 3SE +/- 0.09, N = 320.623.325.519.018.7-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

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 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.01006, N = 3SE +/- 0.00625, N = 3SE +/- 0.01003, N = 3SE +/- 0.00204, N = 3SE +/- 0.00213, N = 35.098798.043687.652821.780013.24953
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01580.03160.04740.06320.0790.0250.0430.0700.0160.024
MinAvgMaxCore i9 13900K10.5207.6287.3Ryzen 9 7950X20.0186.4202.5Ryzen 9 7950X3D17.4108.7116.9Ryzen 7 5800X3D23.8111.0117.3Ryzen 9 5950X18.6135.1142.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 38.079.828.975.235.541. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: TopTweetCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.04730.09460.14190.18920.23650.1920.1640.2100.1220.105
MinAvgMaxCore i9 13900K10.042.046.6Ryzen 9 7950X17.959.862.8Ryzen 9 7950X3D15.942.758.7Ryzen 7 5800X3D22.942.944.7Ryzen 9 5950X25.152.954.8OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor20406080100

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 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20K40K60K80K100KSE +/- 186.37, N = 3SE +/- 55.03, N = 3SE +/- 17.05, N = 3SE +/- 139.75, N = 3SE +/- 62.42, N = 3483103518937750113231633941. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.5204.7291.0Ryzen 9 7950X18.2193.4223.4Ryzen 9 7950X3D20.0106.0118.1Ryzen 7 5800X3D24.1109.6122.3Ryzen 9 5950X23.7120.6139.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 1.45, N = 3SE +/- 2.08, N = 3SE +/- 0.88, N = 3SE +/- 2.19, N = 3SE +/- 1.15, N = 3152510981154338218401. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4199.7290.9Ryzen 9 7950X18.8192.8222.3Ryzen 9 7950X3D18.1110.1123.9Ryzen 7 5800X3D21.1109.7121.5Ryzen 9 5950X19.2128.0139.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

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 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.00437, N = 3SE +/- 0.01237, N = 3SE +/- 0.00497, N = 3SE +/- 0.01182, N = 3SE +/- 0.00443, N = 34.933637.858947.478691.675113.08451
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01530.03060.04590.06120.07650.0240.0420.0680.0150.023
MinAvgMaxCore i9 13900K10.3207.9293.1Ryzen 9 7950X18.9186.4201.6Ryzen 9 7950X3D20.7109.4117.8Ryzen 7 5800X3D22.2110.8116.5Ryzen 9 5950X25.6134.9142.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

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 2023Implementation: MPI CPU - Input: water_GMX50_bareCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.6011.2021.8032.4043.005SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 31.1582.5952.6711.2311.2751. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00540.01080.01620.02160.0270.0060.0150.0240.0120.010
MinAvgMaxCore i9 13900K10.3200.3286.9Ryzen 9 7950X18.2174.9207.5Ryzen 9 7950X3D18.5109.7124.2Ryzen 7 5800X3D14.8102.8112.1Ryzen 9 5950X17.1129.9145.1OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor70140210280350

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 1.24, N = 3SE +/- 0.24, N = 3SE +/- 0.31, N = 3SE +/- 0.36, N = 3SE +/- 0.27, N = 390.8886.3290.03183.07118.81
MinAvgMaxCore i9 13900K10.3200.0302.9Ryzen 9 7950X17.5176.3222.0Ryzen 9 7950X3D17.2107.1128.1Ryzen 7 5800X3D21.9108.4121.7Ryzen 9 5950X27.3127.7144.3OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor80160240320400

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 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 1.20, N = 3SE +/- 1.00, N = 3SE +/- 3.18, N = 3SE +/- 1.73, N = 3SE +/- 3.18, N = 313059341001288815711. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4199.5290.2Ryzen 9 7950X18.7190.5218.0Ryzen 9 7950X3D19.3104.2119.0Ryzen 7 5800X3D21.5110.1122.0Ryzen 9 5950X24.6128.3139.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 3.53, N = 3SE +/- 0.88, N = 3SE +/- 2.60, N = 3SE +/- 1.86, N = 3SE +/- 2.85, N = 31283919992286715511. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxCore i9 13900K10.4199.9290.2Ryzen 9 7950X20.1193.3222.2Ryzen 9 7950X3D19.6103.4118.2Ryzen 7 5800X3D19.6110.3122.3Ryzen 9 5950X19.4127.5139.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.02152.0433.06454.0865.1075SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 33.424.544.341.572.95MIN: 1.42 / MAX: 3.89MIN: 1.97 / MAX: 5.14MIN: 1.84 / MAX: 4.94MIN: 0.43 / MAX: 1.98MIN: 1.12 / MAX: 3.44
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00790.01580.02370.03160.03950.0170.0230.0350.0140.022
MinAvgMaxCore i9 13900K10.4204.6277.4Ryzen 9 7950X20.1194.5213.9Ryzen 9 7950X3D20.6122.9134.0Ryzen 7 5800X3D13.4110.4125.4Ryzen 9 5950X24.6134.1143.9OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor70140210280350

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 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.00958, N = 3SE +/- 0.00580, N = 3SE +/- 0.01045, N = 3SE +/- 0.00214, N = 3SE +/- 0.00263, N = 36.873169.506918.968452.696584.94492
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01820.03640.05460.07280.0910.0330.0500.0810.0240.037
MinAvgMaxCore i9 13900K10.5207.0286.5Ryzen 9 7950X18.8190.2208.5Ryzen 9 7950X3D18.8111.1119.4Ryzen 7 5800X3D20.7111.4118.0Ryzen 9 5950X23.6132.5139.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

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 7.9.2Test: Read While WritingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X900K1800K2700K3600K4500KSE +/- 112025.01, N = 15SE +/- 14122.60, N = 3SE +/- 11052.18, N = 3SE +/- 11402.66, N = 3SE +/- 17781.19, N = 3385985643728064152373225821436164201. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Read While WritingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X8K16K24K32K40K18627.3022872.7135035.2319274.1926261.33
MinAvgMaxCore i9 13900K10.4207.2308.3Ryzen 9 7950X19.0191.2216.5Ryzen 9 7950X3D19.2118.5132.4Ryzen 7 5800X3D22.5117.2126.9Ryzen 9 5950X17.8137.7145.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor80160240320400

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: Apache Spark PageRankCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 16.35, N = 3SE +/- 12.71, N = 15SE +/- 15.35, N = 3SE +/- 28.17, N = 3SE +/- 28.54, N = 31692.21676.11561.42157.32282.4MIN: 1531.5 / MAX: 1756.35MIN: 1509.66 / MAX: 1844.06MIN: 1418.26 / MAX: 1752.72MIN: 1968.01 / MAX: 2242.52MIN: 2067.05 / MAX: 2379.88
MinAvgMaxCore i9 13900K10.276.2120.4Ryzen 9 7950X16.478.2107.0Ryzen 9 7950X3D20.455.370.4Ryzen 7 5800X3D24.462.889.3Ryzen 9 5950X27.694.5123.9OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor4080120160200

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 1.05, N = 3SE +/- 2.10, N = 3SE +/- 3.93, N = 3SE +/- 1.34, N = 3SE +/- 4.57, N = 3796.35967.95900.69620.36635.45
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X51015202517.1516.6221.8614.4911.43
MinAvgMaxCore i9 13900K10.246.450.0Ryzen 9 7950X19.158.366.8Ryzen 9 7950X3D19.241.257.6Ryzen 7 5800X3D22.542.850.4Ryzen 9 5950X29.255.665.1OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor20406080100

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 Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15KSE +/- 134.00, N = 3SE +/- 23.72, N = 3SE +/- 48.40, N = 3SE +/- 5.60, N = 3SE +/- 75.93, N = 39293.912874.716045.77748.07634.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30609012015042.1872.69138.3060.8553.79
MinAvgMaxCore i9 13900K10.3220.4232.2Ryzen 9 7950X19.3177.1187.0Ryzen 9 7950X3D19.6116.0125.2Ryzen 7 5800X3D20.1127.3133.6Ryzen 9 5950X26.2141.9145.6OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption Monitor60120180240300

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X8001600240032004000SE +/- 37.47, N = 3SE +/- 47.14, N = 15SE +/- 46.39, N = 15SE +/- 2.32, N = 3SE +/- 26.51, N = 153012.283946.463871.122598.492376.191. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X102030405015.5925.1942.9223.4418.03
MinAvgMaxCore i9 13900K10.4193.3263.5Ryzen 9 7950X19.1156.7181.0Ryzen 9 7950X3D16.990.2108.2Ryzen 7 5800X3D24.0110.9125.5Ryzen 9 5950X5.2131.8145.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.85, N = 15SE +/- 0.57, N = 3SE +/- 0.47, N = 5SE +/- 0.40, N = 3SE +/- 0.30, N = 347.1943.4646.7482.2261.12
MinAvgMaxCore i9 13900K10.1147.7319.6Ryzen 9 7950X20.5140.5234.6Ryzen 9 7950X3D18.487.5140.8Ryzen 7 5800X3D23.799.6128.1Ryzen 9 5950X20.3117.9145.6OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor80160240320400

Timed MrBayes Analysis

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.90, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.83, N = 5SE +/- 0.23, N = 3122.6665.7970.3685.3093.72-msse4a -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a-msse4a1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
MinAvgMaxCore i9 13900K10.1198.7290.3Ryzen 9 7950X19.8203.8231.2Ryzen 9 7950X3D17.9117.7125.1Ryzen 7 5800X3D18.5113.6120.7Ryzen 9 5950X24.3132.2139.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption Monitor70140210280350

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 85.87, N = 12SE +/- 1.26, N = 3SE +/- 0.48, N = 3SE +/- 8.75, N = 3SE +/- 1.10, N = 31349.901060.561108.041822.871602.10
MinAvgMaxCore i9 13900K10.0201.8306.4Ryzen 9 7950X18.9168.9181.4Ryzen 9 7950X3D19.491.698.4Ryzen 7 5800X3D18.7127.0145.4Ryzen 9 5950X23.6129.9138.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor80160240320400

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X8K16K24K32K40KSE +/- 958.61, N = 12SE +/- 238.95, N = 3SE +/- 317.27, N = 15SE +/- 129.05, N = 3SE +/- 490.12, N = 1527224.2432428.3235077.3012402.4017199.361. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Socket ActivityCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350139.08168.24299.31114.72131.04
MinAvgMaxCore i9 13900K10.4195.8287.2Ryzen 9 7950X18.1192.7226.6Ryzen 9 7950X3D17.7117.2135.5Ryzen 7 5800X3D23.3108.1120.8Ryzen 9 5950X21.0131.3145.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

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 3.4Blend File: Fishy Cat - Compute: CPU-OnlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 377.1363.7567.63168.8197.01
MinAvgMaxCore i9 13900K10.4207.5306.3Ryzen 9 7950X18.6204.5231.0Ryzen 9 7950X3D21.1128.9141.9Ryzen 7 5800X3D24.1124.1130.5Ryzen 9 5950X22.2129.3135.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor80160240320400

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: Scala DottyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 6.28, N = 15SE +/- 8.80, N = 14SE +/- 1.84, N = 3SE +/- 6.35, N = 5SE +/- 8.58, N = 3444.8455.3442.7600.9668.1MIN: 328.23 / MAX: 732.37MIN: 348.12 / MAX: 714.59MIN: 368.13 / MAX: 703.85MIN: 494.12 / MAX: 1094.25MIN: 495.44 / MAX: 959.14
MinAvgMaxCore i9 13900K10.165.1176.5Ryzen 9 7950X18.672.0153.2Ryzen 9 7950X3D19.649.689.4Ryzen 7 5800X3D21.957.1107.8Ryzen 9 5950X24.976.8145.5OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor50100150200250

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.38, N = 3SE +/- 0.23, N = 3SE +/- 0.99, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 370.2768.7273.52152.1499.531. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore i9 13900K10.2154.2311.3Ryzen 9 7950X18.8150.3235.8Ryzen 9 7950X3D20.091.2126.7Ryzen 7 5800X3D23.8100.6126.1Ryzen 9 5950X24.3106.6145.5OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor80160240320400

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20K40K60K80K100KSE +/- 11.93, N = 3SE +/- 73.61, N = 3SE +/- 102.02, N = 3SE +/- 31.30, N = 3SE +/- 76.70, N = 3108215.79110272.31106975.3144673.8390608.971. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000563.06800.301125.68563.46645.87
MinAvgMaxCore i9 13900K10.5192.2202.1Ryzen 9 7950X17.9137.8145.8Ryzen 9 7950X3D21.895.099.5Ryzen 7 5800X3D23.779.382.6Ryzen 9 5950X17.6140.3145.6OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor50100150200250

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 30.96, N = 3SE +/- 1.77, N = 3SE +/- 1.18, N = 3SE +/- 0.93, N = 3SE +/- 35.49, N = 42180.931131.981269.382704.052904.78MIN: 1985.43MIN: 1125.49MIN: 1257.16-lpthread - MIN: 2686.62-lpthread - MIN: 2827.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxCore i9 13900K10.4213.7284.1Ryzen 9 7950X19.8197.2227.1Ryzen 9 7950X3D17.5104.8123.7Ryzen 7 5800X3D19.0125.4144.8Ryzen 9 5950X22.5115.9137.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 22.76, N = 4SE +/- 1.84, N = 3SE +/- 11.97, N = 3SE +/- 1.70, N = 3SE +/- 33.27, N = 32140.951131.141276.342703.162927.17MIN: 1983.98MIN: 1124.17MIN: 1242.57-lpthread - MIN: 2684.5-lpthread - MIN: 2866.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxCore i9 13900K10.2215.5284.6Ryzen 9 7950X16.5197.9229.3Ryzen 9 7950X3D18.2104.9123.8Ryzen 7 5800X3D20.4125.1145.0Ryzen 9 5950X25.9115.1138.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor70140210280350

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4K8K12K16K20KSE +/- 106.04, N = 3SE +/- 43.99, N = 6SE +/- 43.21, N = 13SE +/- 47.61, N = 3SE +/- 77.47, N = 313077.318679.018595.512626.013212.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450321.91328.74433.55296.35241.12
MinAvgMaxCore i9 13900K10.340.645.9Ryzen 9 7950X18.456.868.9Ryzen 9 7950X3D18.142.964.2Ryzen 7 5800X3D17.542.648.7Ryzen 9 5950X23.354.862.9OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.05, N = 3SE +/- 0.76, N = 6SE +/- 0.50, N = 13SE +/- 0.76, N = 3SE +/- 0.58, N = 385.1379.0873.6065.0270.311. (CC) gcc options: -O3

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 7SE +/- 0.00, N = 30.410.450.410.220.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00090.00180.00270.00360.00450.0020.0030.0040.0020.003
MinAvgMaxCore i9 13900K10.3176.9322.9Ryzen 9 7950X19.8156.1227.1Ryzen 9 7950X3D11.496.5137.2Ryzen 7 5800X3D19.5111.9143.1Ryzen 9 5950X21.9111.3145.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor80160240320400

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: 12 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 0.12, N = 3SE +/- 4.43, N = 3SE +/- 25.34, N = 8SE +/- 7.09, N = 3SE +/- 14.89, N = 32580.82429.32449.11778.41899.5-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X91827364530.7230.5940.6729.2423.83
MinAvgMaxCore i9 13900K10.284.0137.7Ryzen 9 7950X19.979.4115.8Ryzen 9 7950X3D19.660.285.1Ryzen 7 5800X3D21.860.886.7Ryzen 9 5950X25.179.7116.1OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350SE +/- 1.17, N = 3SE +/- 0.98, N = 3SE +/- 2.51, N = 8SE +/- 0.35, N = 3SE +/- 0.12, N = 3255.9252.1300.1155.3128.2-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X80160240320400158.76163.99123.76275.41367.891. (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
MinAvgMaxCore i9 13900K10.0212.4272.2Ryzen 9 7950X20.7145.5194.7Ryzen 9 7950X3D21.1104.1122.3Ryzen 7 5800X3D24.490.8108.1Ryzen 9 5950X16.1128.2145.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X91827364526.4623.4822.3636.6338.381. (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

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 66.948.538.414.554.821. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.03710.07420.11130.14840.18550.1650.1450.1590.1070.086
MinAvgMaxCore i9 13900K10.142.044.4Ryzen 9 7950X19.558.962.5Ryzen 9 7950X3D20.552.859.5Ryzen 7 5800X3D19.442.544.5Ryzen 9 5950X24.556.159.4OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor20406080100

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.1M2.2M3.3M4.4M5.5MSE +/- 37609.63, N = 15SE +/- 43833.77, N = 15SE +/- 67196.26, N = 3SE +/- 18825.02, N = 3SE +/- 14386.65, N = 34310974.124980738.044756204.011752396.443135222.881. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X8K16K24K32K40K22211.5026564.7738763.8316068.2026179.97
MinAvgMaxCore i9 13900K10.3194.1303.4Ryzen 9 7950X9.3187.5224.0Ryzen 9 7950X3D21.0122.7141.7Ryzen 7 5800X3D20.2109.1126.5Ryzen 9 5950X24.8119.8133.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor80160240320400

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X408012016020097.8592.4797.19181.26114.67
MinAvgMaxCore i9 13900K10.4213.5266.7Ryzen 9 7950X18.4191.3203.4Ryzen 9 7950X3D21.1117.3122.3Ryzen 7 5800X3D24.7117.7123.9Ryzen 9 5950X29.7136.7140.4OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor70140210280350

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.35, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 353.0954.9059.10139.6679.461. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
MinAvgMaxCore i9 13900K10.0205.4299.8Ryzen 9 7950X20.1208.7231.0Ryzen 9 7950X3D20.5126.3137.0Ryzen 7 5800X3D20.2117.5128.8Ryzen 9 5950X17.9126.5135.1OpenBenchmarking.orgWatts, Fewer Is BetterTachyon 0.99.2CPU Power Consumption Monitor80160240320400

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5010015020025084.7979.2185.51205.55118.64
MinAvgMaxCore i9 13900K10.4212.2271.2Ryzen 9 7950X20.3203.0216.0Ryzen 9 7950X3D20.7121.5129.8Ryzen 7 5800X3D22.3119.2125.0Ryzen 9 5950X29.8134.3137.6OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.33652.6734.00955.3466.6825SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.285.945.923.623.791. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: KostyaCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.02450.0490.07350.0980.12250.1090.1020.1040.0840.071
MinAvgMaxCore i9 13900K10.148.550.8Ryzen 9 7950X18.558.360.5Ryzen 9 7950X3D19.057.059.5Ryzen 7 5800X3D21.343.145.0Ryzen 9 5950X19.453.656.0OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor20406080100

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.17, N = 3SE +/- 0.22, N = 3SE +/- 0.29, N = 3SE +/- 0.26, N = 3SE +/- 0.18, N = 355.4854.6255.54123.4783.05
MinAvgMaxCore i9 13900K10.3175.1295.9Ryzen 9 7950X19.6157.3209.0Ryzen 9 7950X3D20.8100.0131.8Ryzen 7 5800X3D20.5104.2117.9Ryzen 9 5950X25.6126.9145.7OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor70140210280350

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 3.4Blend File: BMW27 - Compute: CPU-OnlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.39, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 352.9449.3552.30136.1676.62
MinAvgMaxCore i9 13900K10.3202.9306.0Ryzen 9 7950X20.2205.4230.0Ryzen 9 7950X3D18.2128.3139.4Ryzen 7 5800X3D17.9121.1126.8Ryzen 9 5950X22.8129.7136.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor80160240320400

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.110, N = 6SE +/- 0.034, N = 3SE +/- 0.011, N = 3SE +/- 0.010, N = 3SE +/- 0.007, N = 311.60212.32111.8564.9058.600
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.02120.04240.06360.08480.1060.0570.0610.0940.0420.066
MinAvgMaxCore i9 13900K10.4204.4284.7Ryzen 9 7950X18.5200.6219.1Ryzen 9 7950X3D19.3125.5135.6Ryzen 7 5800X3D17.9116.1126.5Ryzen 9 5950X24.8129.9139.1OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor70140210280350

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 Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4K8K12K16K20KSE +/- 141.76, N = 3SE +/- 70.98, N = 3SE +/- 7.72, N = 3SE +/- 13.02, N = 3SE +/- 41.66, N = 315096.720460.219571.58405.713665.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X408012016020072.16100.35160.9267.8998.43
MinAvgMaxCore i9 13900K10.4209.2269.7Ryzen 9 7950X20.2203.9228.0Ryzen 9 7950X3D17.5121.6131.0Ryzen 7 5800X3D23.7123.8128.8Ryzen 9 5950X15.6138.8145.6OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption Monitor70140210280350

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 5.02Mode: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7K14K21K28K35KSE +/- 105.58, N = 3SE +/- 52.68, N = 3SE +/- 41.67, N = 3SE +/- 121.71, N = 3SE +/- 76.59, N = 32768132654311431218321335
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300147.45171.63257.32113.95177.43
MinAvgMaxCore i9 13900K10.5187.7289.1Ryzen 9 7950X19.9190.3224.8Ryzen 9 7950X3D18.0121.0139.6Ryzen 7 5800X3D16.8106.9126.0Ryzen 9 5950X17.6120.2139.1OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor70140210280350

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 312.3914.0813.237.739.951. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.03240.06480.09720.12960.1620.0700.0920.1440.0680.082
MinAvgMaxCore i9 13900K10.4176.8232.2Ryzen 9 7950X18.3152.3185.5Ryzen 9 7950X3D18.091.8111.6Ryzen 7 5800X3D22.7114.3126.8Ryzen 9 5950X3.0120.6137.4OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor60120180240300

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.78721.57442.36163.14883.936SE +/- 0.002560, N = 3SE +/- 0.019558, N = 3SE +/- 0.015172, N = 3SE +/- 0.000870, N = 3SE +/- 0.017538, N = 32.3722313.4986603.3073631.5642442.5429971. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00770.01540.02310.03080.03850.0180.0220.0340.0160.019
MinAvgMaxCore i9 13900K10.2131.9153.9Ryzen 9 7950X19.9157.5184.5Ryzen 9 7950X3D17.898.4115.2Ryzen 7 5800X3D22.399.9108.2Ryzen 9 5950X22.1131.2145.7OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.4120.8241.2361.6482.06SE +/- 0.001, N = 3SE +/- 0.012, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 31.4871.0790.9761.6931.831
MinAvgMaxCore i9 13900K10.143.658.4Ryzen 9 7950X19.561.166.1Ryzen 9 7950X3D18.342.151.5Ryzen 7 5800X3D20.343.547.6Ryzen 9 5950X27.057.567.3OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

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 3.2.3Time To CompileCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 350.9248.4449.40120.1075.11
MinAvgMaxCore i9 13900K10.4176.4282.3Ryzen 9 7950X19.9164.7210.9Ryzen 9 7950X3D20.0103.1127.9Ryzen 7 5800X3D24.3106.2120.3Ryzen 9 5950X25.2127.2145.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor70140210280350

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: Apache Spark ALSCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 11.84, N = 3SE +/- 8.73, N = 3SE +/- 3.63, N = 3SE +/- 3.11, N = 3SE +/- 16.20, N = 31863.81830.21868.32413.42407.4MIN: 1785.37 / MAX: 1996.47MIN: 1744.85 / MAX: 2498.03MIN: 1801.21 / MAX: 2007.19MIN: 2323.8 / MAX: 2498.72MIN: 2310.72 / MAX: 2858.76
MinAvgMaxCore i9 13900K10.3115.0157.5Ryzen 9 7950X18.8105.2124.6Ryzen 9 7950X3D17.070.879.9Ryzen 7 5800X3D17.882.499.7Ryzen 9 5950X25.5120.1136.5OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.43430.86861.30291.73722.1715SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.931.841.831.251.321. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: LargeRandomCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00920.01840.02760.03680.0460.0410.0320.0330.0300.025
MinAvgMaxCore i9 13900K10.046.759.7Ryzen 9 7950X19.157.960.4Ryzen 9 7950X3D20.155.457.5Ryzen 7 5800X3D19.541.644.0Ryzen 9 5950X16.752.054.4OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor20406080100

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X80160240320400SE +/- 0.91, N = 3SE +/- 2.67, N = 3SE +/- 3.71, N = 3SE +/- 0.88, N = 3SE +/- 0.66, N = 3375.41346.78326.71267.80273.511. chrome 110.0.5481.96
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468107.6635.9237.1425.9114.521
MinAvgMaxCore i9 13900K10.149.0162.9Ryzen 9 7950X17.658.5147.3Ryzen 9 7950X3D20.745.785.3Ryzen 7 5800X3D24.245.394.3Ryzen 9 5950X22.960.5140.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor50100150200250

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.9310.299.255.495.751. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.05110.10220.15330.20440.25550.1880.1730.2270.1280.108
MinAvgMaxCore i9 13900K10.142.145.5Ryzen 9 7950X19.059.662.3Ryzen 9 7950X3D20.240.742.6Ryzen 7 5800X3D20.043.044.7Ryzen 9 5950X26.153.255.2OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.60, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 354.5661.5762.1074.1476.87
MinAvgMaxCore i9 13900K10.155.3125.1Ryzen 9 7950X20.467.8107.0Ryzen 9 7950X3D20.752.275.5Ryzen 7 5800X3D17.447.079.8Ryzen 9 5950X18.169.4125.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.26232.52463.78695.04926.3115SE +/- 0.047, N = 4SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.008, N = 3SE +/- 0.010, N = 34.0075.6105.4152.3484.077
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00950.0190.02850.0380.04750.0200.0280.0420.0200.031
MinAvgMaxCore i9 13900K10.3204.3272.7Ryzen 9 7950X17.3201.0220.8Ryzen 9 7950X3D9.6127.5137.6Ryzen 7 5800X3D21.6115.4128.2Ryzen 9 5950X25.2130.9141.0OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor70140210280350

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 2022.3Model: Person Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 5.54, N = 3SE +/- 2.36, N = 3SE +/- 3.92, N = 3SE +/- 1.18, N = 3SE +/- 7.98, N = 32240.871045.241077.912242.093159.12-pie -ldl - MIN: 1638.27 / MAX: 3037.36-fPIC -shared - MIN: 611.09 / MAX: 1300.14-fPIC -shared - MIN: 928.54 / MAX: 1280.56-fPIC -shared - MIN: 1995.69 / MAX: 2398.11-fPIC -shared - MIN: 1693.84 / MAX: 3677.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.4198.8309.2Ryzen 9 7950X19.7194.0213.0Ryzen 9 7950X3D19.3113.3127.7Ryzen 7 5800X3D23.1112.7126.7Ryzen 9 5950X18.8131.6144.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.517.627.381.772.51-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 8.48, N = 3SE +/- 3.14, N = 3SE +/- 5.79, N = 3SE +/- 4.89, N = 3SE +/- 10.16, N = 32259.511048.211094.082289.643226.89-pie -ldl - MIN: 956.01 / MAX: 3055.94-fPIC -shared - MIN: 623.79 / MAX: 1281.26-fPIC -shared - MIN: 592.03 / MAX: 1279.91-fPIC -shared - MIN: 2152.44 / MAX: 2412.21-fPIC -shared - MIN: 1561.02 / MAX: 3819.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.4201.9309.3Ryzen 9 7950X18.6194.4214.7Ryzen 9 7950X3D12.8114.5129.1Ryzen 7 5800X3D21.6110.9128.0Ryzen 9 5950X21.8131.5144.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.497.597.281.742.46-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 6.1Build: defconfigCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.20, N = 3SE +/- 0.28, N = 3SE +/- 0.32, N = 3SE +/- 0.41, N = 3SE +/- 0.29, N = 347.3545.1146.93110.8770.05
MinAvgMaxCore i9 13900K10.4165.9279.4Ryzen 9 7950X19.5159.1218.9Ryzen 9 7950X3D20.0100.0135.9Ryzen 7 5800X3D17.0104.0118.7Ryzen 9 5950X17.0121.5145.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.85311.70622.55933.41244.2655SE +/- 0.001019, N = 3SE +/- 0.036089, N = 3SE +/- 0.011695, N = 3SE +/- 0.001540, N = 3SE +/- 0.021266, N = 32.6608723.7915583.6453441.6475892.8134011. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00830.01660.02490.03320.04150.0210.0240.0370.0160.021
MinAvgMaxCore i9 13900K10.3125.0148.4Ryzen 9 7950X19.6159.3192.5Ryzen 9 7950X3D17.297.8113.6Ryzen 7 5800X3D22.1101.9110.1Ryzen 9 5950X23.3131.0145.7OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

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 2022.3Model: Face Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 6.67, N = 3SE +/- 1.01, N = 3SE +/- 0.86, N = 3SE +/- 10.89, N = 3SE +/- 8.96, N = 31417.26550.02589.991404.321965.82-pie -ldl - MIN: 1086.31 / MAX: 1957.4-fPIC -shared - MIN: 531.31 / MAX: 582.87-fPIC -shared - MIN: 295.96 / MAX: 626.63-fPIC -shared - MIN: 1296.81 / MAX: 1476.41-fPIC -shared - MIN: 1462.45 / MAX: 2340.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.4203.9310.3Ryzen 9 7950X20.2206.4230.3Ryzen 9 7950X3D20.2117.3132.7Ryzen 7 5800X3D16.3113.6134.8Ryzen 9 5950X17.8130.4143.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 35.6114.4813.522.834.03-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.958.317.893.245.70MIN: 6.28 / MAX: 7.94MIN: 7.42 / MAX: 8.8MIN: 7.06 / MAX: 8.33MIN: 3.19 / MAX: 3.27MIN: 5.28 / MAX: 5.87
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01420.02840.04260.05680.0710.0340.0420.0630.0290.044
MinAvgMaxCore i9 13900K10.4201.8292.4Ryzen 9 7950X16.9198.0222.2Ryzen 9 7950X3D18.3125.1136.5Ryzen 7 5800X3D20.2109.9119.5Ryzen 9 5950X27.1130.2140.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor70140210280350

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 310.6610.7910.078.678.541. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.03330.06660.09990.13320.16650.0730.0880.1480.0820.066
MinAvgMaxCore i9 13900K10.2145.5161.8Ryzen 9 7950X20.0123.1134.0Ryzen 9 7950X3D18.267.973.2Ryzen 7 5800X3D14.7106.1114.1Ryzen 9 5950X26.6130.3138.1OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor50100150200250

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 2022.3Model: Face Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 1.20, N = 3SE +/- 0.34, N = 3SE +/- 0.23, N = 3SE +/- 0.98, N = 3SE +/- 0.97, N = 3434.99282.23306.37684.92815.12-pie -ldl - MIN: 264.24 / MAX: 1313.32-fPIC -shared - MIN: 268.77 / MAX: 288.18-fPIC -shared - MIN: 154.67 / MAX: 315.35-fPIC -shared - MIN: 600.38 / MAX: 700.03-fPIC -shared - MIN: 670.44 / MAX: 830.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.3202.3299.8Ryzen 9 7950X18.1205.7227.2Ryzen 9 7950X3D19.2117.4127.3Ryzen 7 5800X3D21.4127.4140.9Ryzen 9 5950X26.4122.5131.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X714212835SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 318.3228.3126.075.839.77-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: 3 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 0.35, N = 3SE +/- 1.40, N = 3SE +/- 3.89, N = 3SE +/- 2.59, N = 3SE +/- 13.92, N = 32362.82164.12203.81570.11721.2-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X81624324028.3221.6633.0221.3319.06
MinAvgMaxCore i9 13900K10.183.4136.5Ryzen 9 7950X20.499.9154.0Ryzen 9 7950X3D18.066.791.2Ryzen 7 5800X3D21.373.6111.0Ryzen 9 5950X17.490.3133.0OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X9001800270036004500SE +/- 3.84, N = 3SE +/- 8.42, N = 3SE +/- 12.87, N = 3SE +/- 2.27, N = 3SE +/- 8.52, N = 33574.64137.34032.22160.72808.3-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 0.35, N = 3SE +/- 4.45, N = 3SE +/- 1.30, N = 3SE +/- 2.21, N = 3SE +/- 19.93, N = 32399.02220.82250.81622.51773.0-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X102030405040.6930.4941.7525.1120.34
MinAvgMaxCore i9 13900K10.159.082.8Ryzen 9 7950X20.072.897.4Ryzen 9 7950X3D20.053.961.7Ryzen 7 5800X3D23.664.691.8Ryzen 9 5950X26.687.2129.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 1.22, N = 3SE +/- 2.98, N = 3SE +/- 1.67, N = 3SE +/- 3.47, N = 3SE +/- 1.74, N = 31329.21409.31336.81292.81111.5-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 1.07, N = 3SE +/- 7.70, N = 3SE +/- 2.71, N = 3SE +/- 23.56, N = 3SE +/- 14.85, N = 32595.22358.92429.41697.71881.9-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X81624324026.3825.2936.1223.9620.61
MinAvgMaxCore i9 13900K10.298.4173.6Ryzen 9 7950X18.693.3144.8Ryzen 9 7950X3D19.267.395.1Ryzen 7 5800X3D12.270.8107.8Ryzen 9 5950X21.691.3137.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 2.70, N = 3SE +/- 7.93, N = 3SE +/- 6.46, N = 3SE +/- 2.83, N = 3SE +/- 1.63, N = 3759.5843.61064.2576.1431.5-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 12.55, N = 3SE +/- 7.04, N = 3SE +/- 6.35, N = 3SE +/- 21.95, N = 3SE +/- 8.94, N = 32577.02384.02421.51732.61910.0-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X81624324026.1724.7836.6723.6220.13
MinAvgMaxCore i9 13900K10.198.5171.0Ryzen 9 7950X19.396.2147.6Ryzen 9 7950X3D12.266.095.1Ryzen 7 5800X3D21.673.3112.8Ryzen 9 5950X17.894.9140.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 1.83, N = 3SE +/- 2.24, N = 3SE +/- 0.90, N = 3SE +/- 1.03, N = 3SE +/- 1.47, N = 3718.4848.81010.4600.2442.2-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.13852.2773.41554.5545.6925SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.855.064.791.703.24MIN: 1.45 / MAX: 4.38MIN: 2.28 / MAX: 5.71MIN: 2.1 / MAX: 5.42MIN: 0.51 / MAX: 2.07MIN: 1.21 / MAX: 3.77
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00860.01720.02580.03440.0430.0190.0250.0380.0150.025
MinAvgMaxCore i9 13900K10.4204.5287.1Ryzen 9 7950X18.0199.0220.4Ryzen 9 7950X3D20.2126.0137.3Ryzen 7 5800X3D20.8111.0126.4Ryzen 9 5950X25.4131.5145.5OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor70140210280350

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 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.23, N = 3SE +/- 0.36, N = 3SE +/- 0.12, N = 3SE +/- 0.37, N = 3SE +/- 1.88, N = 3130.5958.1659.23138.39213.78-pie -ldl - MIN: 54.14 / MAX: 236.07-fPIC -shared - MIN: 31.66 / MAX: 70.64-fPIC -shared - MIN: 43.76 / MAX: 68.8-fPIC -shared - MIN: 114.75 / MAX: 150.81-fPIC -shared - MIN: 140.01 / MAX: 251.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.6205.8311.3Ryzen 9 7950X17.4191.3214.1Ryzen 9 7950X3D18.1109.4118.8Ryzen 7 5800X3D22.2119.7133.7Ryzen 9 5950X19.6129.0142.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.11, N = 3SE +/- 0.87, N = 3SE +/- 0.28, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 361.20137.43134.9428.8737.38-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.19932.39863.59794.79725.9965SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.205.335.042.023.57MIN: 4.04 / MAX: 4.9MIN: 5.2 / MAX: 5.69MIN: 4.91 / MAX: 5.34MIN: 1.97 / MAX: 2.08MIN: 3.47 / MAX: 3.74
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.0090.0180.0270.0360.0450.0200.0260.0400.0180.027
MinAvgMaxCore i9 13900K10.3205.8288.6Ryzen 9 7950X18.7201.4223.6Ryzen 9 7950X3D19.3126.8138.2Ryzen 7 5800X3D21.8110.3118.4Ryzen 9 5950X22.5132.0141.0OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor70140210280350

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X8K16K24K32K40KSE +/- 163.25, N = 3SE +/- 3.56, N = 3SE +/- 8.73, N = 3SE +/- 87.40, N = 3SE +/- 34.59, N = 321377.117165.517769.238402.930030.8
MinAvgMaxCore i9 13900K10.4212.7313.4Ryzen 9 7950X20.0185.2197.9Ryzen 9 7950X3D17.6102.9109.3Ryzen 7 5800X3D23.2126.7143.6Ryzen 9 5950X17.6132.1141.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor80160240320400

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 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 311.594.684.808.9413.30-pie -ldl - MIN: 6.67 / MAX: 43.83-fPIC -shared - MIN: 3.47 / MAX: 15.64-fPIC -shared - MIN: 3.57 / MAX: 13.05-fPIC -shared - MIN: 6.65 / MAX: 16.68-fPIC -shared - MIN: 7.18 / MAX: 24.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.4209.8307.8Ryzen 9 7950X18.0208.9226.3Ryzen 9 7950X3D19.3112.0121.0Ryzen 7 5800X3D20.2120.8136.9Ryzen 9 5950X24.3130.7140.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 4.56, N = 3SE +/- 1.71, N = 3SE +/- 1.67, N = 3SE +/- 0.73, N = 3SE +/- 3.90, N = 3689.371705.711663.96446.96600.77-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 7.9.2Test: Random Fill SyncCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X9K18K27K36K45KSE +/- 85.24, N = 3SE +/- 97.08, N = 3SE +/- 80.88, N = 3SE +/- 28.02, N = 3SE +/- 61.08, N = 343677402193961821599417321. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Random Fill SyncCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000793.44612.08724.09649.34810.86
MinAvgMaxCore i9 13900K10.355.060.8Ryzen 9 7950X19.465.771.6Ryzen 9 7950X3D20.254.760.2Ryzen 7 5800X3D18.333.335.9Ryzen 9 5950X19.051.561.9OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor20406080100

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 5.95, N = 3SE +/- 12.56, N = 3SE +/- 3.97, N = 3SE +/- 4.86, N = 3SE +/- 18.44, N = 31880.151532.651639.073375.082077.45
MinAvgMaxCore i9 13900K10.4205.6279.5Ryzen 9 7950X17.2188.0203.2Ryzen 9 7950X3D20.0113.0123.5Ryzen 7 5800X3D17.3113.6126.1Ryzen 9 5950X20.3133.5142.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor70140210280350

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 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 38.364.294.689.6611.66-pie -ldl - MIN: 4.01 / MAX: 24.35-fPIC -shared - MIN: 2.68 / MAX: 13.51-fPIC -shared - MIN: 3.02 / MAX: 12.65-fPIC -shared - MIN: 6.14 / MAX: 16.95-fPIC -shared - MIN: 6.09 / MAX: 20.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.3205.0308.6Ryzen 9 7950X20.2213.3235.8Ryzen 9 7950X3D20.8117.6125.6Ryzen 7 5800X3D18.5128.5140.3Ryzen 9 5950X4.9125.6133.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 1.06, N = 3SE +/- 1.27, N = 3SE +/- 4.69, N = 3SE +/- 0.68, N = 3SE +/- 1.01, N = 3955.911860.491708.21413.79685.28-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1326395265SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 356.875.525.9914.4618.23-pie -ldl - MIN: 30.87 / MAX: 106.39-fPIC -shared - MIN: 2.9 / MAX: 12.84-fPIC -shared - MIN: 3.05 / MAX: 13.36-fPIC -shared - MIN: 9.58 / MAX: 23.62-fPIC -shared - MIN: 8.06 / MAX: 27.51. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.4206.3316.7Ryzen 9 7950X18.8208.3228.1Ryzen 9 7950X3D17.0119.4128.3Ryzen 7 5800X3D18.4119.3136.1Ryzen 9 5950X23.2126.4134.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 1.73, N = 3SE +/- 1.33, N = 3SE +/- 0.77, N = 3SE +/- 0.33, N = 3SE +/- 0.38, N = 3562.231447.081335.75276.53438.32-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X816243240SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 323.4910.327.9414.6633.25-pie -ldl - MIN: 6.4 / MAX: 48.86-fPIC -shared - MIN: 4.85 / MAX: 22.73-fPIC -shared - MIN: 4.31 / MAX: 18.63-fPIC -shared - MIN: 7.89 / MAX: 23.34-fPIC -shared - MIN: 11.88 / MAX: 55.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.5206.1267.7Ryzen 9 7950X19.4191.3211.1Ryzen 9 7950X3D20.9112.5122.5Ryzen 7 5800X3D21.6120.8134.7Ryzen 9 5950X24.1128.3140.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 0.74, N = 3SE +/- 3.73, N = 3SE +/- 3.80, N = 3SE +/- 0.33, N = 3SE +/- 0.85, N = 3340.07774.491007.38272.75240.30-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.155.526.1114.1116.65-pie -ldl - MIN: 7.97 / MAX: 47.28-fPIC -shared - MIN: 3.05 / MAX: 16.6-fPIC -shared - MIN: 3.2 / MAX: 13.25-fPIC -shared - MIN: 8.09 / MAX: 21.63-fPIC -shared - MIN: 8.33 / MAX: 24.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.5206.0303.3Ryzen 9 7950X18.7213.6234.8Ryzen 9 7950X3D17.2115.6123.1Ryzen 7 5800X3D18.6127.2139.4Ryzen 9 5950X18.2124.4131.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 2.15, N = 3SE +/- 1.83, N = 3SE +/- 0.54, N = 3SE +/- 0.74, N = 3SE +/- 0.94, N = 31865.092897.962615.51566.78960.20-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.40730.81461.22191.62922.0365SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.810.350.390.921.20-pie -ldl - MIN: 0.71 / MAX: 17.79-fPIC -shared - MIN: 0.21 / MAX: 7.08-fPIC -shared - MIN: 0.22 / MAX: 9.86-fPIC -shared - MIN: 0.53 / MAX: 9-fPIC -shared - MIN: 0.62 / MAX: 10.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.3209.4326.6Ryzen 9 7950X18.0212.3228.6Ryzen 9 7950X3D20.9121.0129.3Ryzen 7 5800X3D24.0122.8138.1Ryzen 9 5950X25.7124.6132.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X10K20K30K40K50KSE +/- 131.87, N = 3SE +/- 45.80, N = 3SE +/- 13.50, N = 3SE +/- 5.84, N = 3SE +/- 45.29, N = 317587.9345170.1840665.298671.5313284.36-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.37350.7471.12051.4941.8675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.660.610.670.851.11-pie -ldl - MIN: 0.69 / MAX: 17.94-fPIC -shared - MIN: 0.33 / MAX: 11.01-fPIC -shared - MIN: 0.35 / MAX: 8.04-fPIC -shared - MIN: 0.51 / MAX: 8.11-fPIC -shared - MIN: 0.64 / MAX: 15.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxCore i9 13900K10.4209.0326.3Ryzen 9 7950X20.5215.7234.0Ryzen 9 7950X3D18.7113.4123.8Ryzen 7 5800X3D23.4121.9141.1Ryzen 9 5950X21.0124.5131.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6K12K18K24K30KSE +/- 63.18, N = 3SE +/- 15.17, N = 3SE +/- 27.74, N = 3SE +/- 1.71, N = 3SE +/- 30.52, N = 319215.5426151.5523609.269344.3014354.78-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X80160240320400SE +/- 1.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 33732722611182261. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SharpenCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.5361.0721.6082.1442.681.8871.5312.3821.2541.643
MinAvgMaxCore i9 13900K10.2197.7259.8Ryzen 9 7950X19.2177.7189.4Ryzen 9 7950X3D20.1109.6118.6Ryzen 7 5800X3D19.694.1101.2Ryzen 9 5950X26.6137.5145.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor70140210280350

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.41780.83561.25341.67122.089SE +/- 0.00530, N = 3SE +/- 0.00042, N = 3SE +/- 0.00099, N = 3SE +/- 0.00120, N = 3SE +/- 0.00111, N = 30.623910.768880.814841.856791.09317
MinAvgMaxCore i9 13900K10.5200.6290.0Ryzen 9 7950X21.1201.9228.8Ryzen 9 7950X3D20.9123.5141.1Ryzen 7 5800X3D24.9117.5130.7Ryzen 9 5950X23.3131.3144.7OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor70140210280350

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 7.9.2Test: Random FillCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X300K600K900K1200K1500KSE +/- 10578.83, N = 3SE +/- 4473.93, N = 3SE +/- 2202.93, N = 3SE +/- 1087.26, N = 3SE +/- 1751.92, N = 3137443914558731394781103312512480891. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Random FillCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15K6991.618406.0712776.0111251.069052.60
MinAvgMaxCore i9 13900K10.3196.6223.9Ryzen 9 7950X20.7173.2187.6Ryzen 9 7950X3D20.0109.2118.1Ryzen 7 5800X3D22.291.899.9Ryzen 9 5950X28.6137.9145.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor60120180240300

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 19.70, N = 3SE +/- 28.20, N = 15SE +/- 26.15, N = 4SE +/- 10.37, N = 3SE +/- 0.88, N = 3226130922485261325791. chrome 110.0.5481.96
MinAvgMaxCore i9 13900K10.129.755.1Ryzen 9 7950X17.240.766.7Ryzen 9 7950X3D15.636.960.6Ryzen 7 5800X3D22.736.149.4Ryzen 9 5950X23.548.372.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

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 7.9.2Test: Update RandomCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X200K400K600K800K1000KSE +/- 2190.80, N = 3SE +/- 1700.63, N = 3SE +/- 4449.32, N = 3SE +/- 799.66, N = 3SE +/- 2086.66, N = 38495379894729435165499037269611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Update RandomCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2K4K6K8K10K4142.095429.008322.475269.295277.00
MinAvgMaxCore i9 13900K10.4205.1258.9Ryzen 9 7950X20.4182.3195.9Ryzen 9 7950X3D21.0113.4123.4Ryzen 7 5800X3D13.9104.4112.8Ryzen 9 5950X26.4137.8146.7OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor70140210280350

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X120240360480600SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 35625134882224191. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.02742.05483.08224.10965.1372.8362.8924.5662.3893.040
MinAvgMaxCore i9 13900K10.3198.2257.5Ryzen 9 7950X17.4177.4191.5Ryzen 9 7950X3D20.7106.9115.0Ryzen 7 5800X3D21.692.999.0Ryzen 9 5950X24.0137.8145.6OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 5.04, N = 3SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 0.33, N = 3SE +/- 1.20, N = 36096596163014901. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.33582.67164.00745.34326.6793.2994.0175.9372.8984.017
MinAvgMaxCore i9 13900K10.4184.6226.3Ryzen 9 7950X18.6164.1179.3Ryzen 9 7950X3D19.9103.8111.0Ryzen 7 5800X3D22.9103.9111.2Ryzen 9 5950X24.3122.0129.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 4.33, N = 3SE +/- 1.00, N = 3SE +/- 2.19, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 31100122711475359331. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SwirlCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X36912155.6166.62110.2574.7967.026
MinAvgMaxCore i9 13900K10.4195.9256.5Ryzen 9 7950X18.2185.3204.7Ryzen 9 7950X3D20.2111.8121.4Ryzen 7 5800X3D18.7111.5119.8Ryzen 9 5950X22.7132.8140.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 7.51, N = 3SE +/- 2.73, N = 3SE +/- 29.87, N = 3SE +/- 1.86, N = 3SE +/- 1.86, N = 3204523232177108017841. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: ResizingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X51015202510.86013.26222.1039.88813.088
MinAvgMaxCore i9 13900K10.5188.3237.2Ryzen 9 7950X20.0175.2188.7Ryzen 9 7950X3D18.998.5110.7Ryzen 7 5800X3D21.3109.2116.6Ryzen 9 5950X24.0136.3144.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor60120180240300

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 7.9.2Test: Read Random Write RandomCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X700K1400K2100K2800K3500KSE +/- 14672.98, N = 3SE +/- 6732.06, N = 3SE +/- 10376.60, N = 3SE +/- 1659.74, N = 3SE +/- 6290.50, N = 3303521634262273296863187957325104031. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Read Random Write RandomCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X6K12K18K24K30K14722.1518249.7327962.7316530.8318198.19
MinAvgMaxCore i9 13900K10.5206.2280.4Ryzen 9 7950X20.1187.7201.9Ryzen 9 7950X3D15.7117.9126.3Ryzen 7 5800X3D21.2113.7124.5Ryzen 9 5950X18.0137.9145.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor70140210280350

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 0.58, N = 3SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 9.53, N = 316771004103699810321. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: RotateCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X91827364540.7217.2519.5623.5518.96
MinAvgMaxCore i9 13900K10.141.243.9Ryzen 9 7950X19.658.261.4Ryzen 9 7950X3D20.753.055.6Ryzen 7 5800X3D18.542.444.0Ryzen 9 5950X26.454.459.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 5.21, N = 3SE +/- 9.33, N = 3SE +/- 4.48, N = 3SE +/- 2.03, N = 3SE +/- 2.67, N = 3166817541688124415781. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X61218243016.8718.4826.4317.2314.80
MinAvgMaxCore i9 13900K10.198.9108.0Ryzen 9 7950X19.094.9103.0Ryzen 9 7950X3D20.063.968.2Ryzen 7 5800X3D23.872.277.1Ryzen 9 5950X17.7106.6113.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor4080120160200

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 7.9.2Test: Random ReadCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X40M80M120M160M200MSE +/- 1452665.51, N = 3SE +/- 438240.45, N = 3SE +/- 374203.74, N = 3SE +/- 111777.38, N = 3SE +/- 238323.80, N = 317671746215788888714712052053366280958907541. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Random ReadCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X200K400K600K800K1000K842291.76810752.011153836.47487433.07751660.06
MinAvgMaxCore i9 13900K10.2209.8307.8Ryzen 9 7950X19.7194.7229.8Ryzen 9 7950X3D18.5127.5136.6Ryzen 7 5800X3D22.8109.5122.2Ryzen 9 5950X24.7127.6137.3OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor80160240320400

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 15SE +/- 0.04, N = 3SE +/- 0.07, N = 36.266.757.289.058.721. chrome 110.0.5481.96
MinAvgMaxCore i9 13900K10.031.354.4Ryzen 9 7950X19.344.064.6Ryzen 9 7950X3D18.737.561.2Ryzen 7 5800X3D16.237.254.0Ryzen 9 5950X18.647.569.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

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: Genetic Algorithm Using Jenetics + FuturesCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 4.86, N = 3SE +/- 8.03, N = 3SE +/- 3.69, N = 3SE +/- 3.81, N = 3SE +/- 14.35, N = 31007.4957.61101.51163.61220.1MIN: 950.18 / MAX: 1106.93MIN: 923.64 / MAX: 992.06MIN: 1035.84 / MAX: 1121.33MIN: 1141.33 / MAX: 1189.92MIN: 1185.32 / MAX: 1272.37
MinAvgMaxCore i9 13900K10.468.784.2Ryzen 9 7950X18.284.795.7Ryzen 9 7950X3D15.356.260.9Ryzen 7 5800X3D22.160.466.4Ryzen 9 5950X28.399.0109.4OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X13K26K39K52K65KSE +/- 100.39, N = 3SE +/- 767.09, N = 3SE +/- 440.21, N = 15SE +/- 10.00, N = 3SE +/- 35.28, N = 317307620405837518720157931. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X14028042056070097.60392.23639.64171.99120.29
MinAvgMaxCore i9 13900K10.4177.3203.0Ryzen 9 7950X17.5158.2179.5Ryzen 9 7950X3D16.091.3103.6Ryzen 7 5800X3D23.8108.8122.4Ryzen 9 5950X29.4131.3145.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor50100150200250

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 325.9221.0020.3717.3116.65
OpenBenchmarking.orgruns/s Per Watt, More Is BetterNode.js V8 Web Tooling BenchmarkCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.11180.22360.33540.44720.5590.4970.3370.4610.3600.256
MinAvgMaxCore i9 13900K10.152.266.3Ryzen 9 7950X19.362.370.8Ryzen 9 7950X3D20.544.256.0Ryzen 7 5800X3D22.848.156.9Ryzen 9 5950X22.565.178.1OpenBenchmarking.orgWatts, Fewer Is BetterNode.js V8 Web Tooling BenchmarkCPU Power Consumption Monitor20406080100

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5K10K15K20K25KSE +/- 12.02, N = 3SE +/- 221.43, N = 14SE +/- 160.24, N = 3SE +/- 5.35, N = 3SE +/- 15.28, N = 318593.0021706.0019737.009389.6217140.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X408012016020097.59122.17184.1388.79137.81
MinAvgMaxCore i9 13900K10.4190.5256.1Ryzen 9 7950X17.5177.7201.0Ryzen 9 7950X3D17.6107.2121.5Ryzen 7 5800X3D21.5105.8119.3Ryzen 9 5950X24.8124.4139.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

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: Finagle HTTP RequestsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 12.67, N = 15SE +/- 14.73, N = 3SE +/- 19.45, N = 3SE +/- 13.60, N = 3SE +/- 20.55, N = 31941.21974.02072.72862.53310.1MIN: 1647.41 / MAX: 2335.31MIN: 1798.72 / MAX: 2008.91MIN: 1894.58 / MAX: 2126.36MIN: 2469.86 / MAX: 3065.69MIN: 2959.21 / MAX: 3374.9
MinAvgMaxCore i9 13900K10.3183.8269.7Ryzen 9 7950X17.4169.6212.7Ryzen 9 7950X3D20.5112.2137.3Ryzen 7 5800X3D21.596.1117.3Ryzen 9 5950X7.9132.3145.8OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X10002000300040005000SE +/- 43.09, N = 3SE +/- 20.37, N = 3SE +/- 26.64, N = 3SE +/- 51.90, N = 3SE +/- 23.82, N = 33623.33280.63513.73916.04519.2MIN: 3579.77 / MAX: 5158.3MIN: 3241.47 / MAX: 4910.3MIN: 3464 / MAX: 5062.42MIN: 3848.37 / MAX: 6267.97MIN: 4472.65 / MAX: 6501.64
MinAvgMaxCore i9 13900K10.264.9140.8Ryzen 9 7950X19.572.6118.8Ryzen 9 7950X3D18.552.677.3Ryzen 7 5800X3D18.558.785.6Ryzen 9 5950X23.680.7127.9OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor4080120160200

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450SE +/- 0.73, N = 3SE +/- 1.17, N = 3SE +/- 0.96, N = 3SE +/- 0.11, N = 3SE +/- 2.05, N = 13407.22389.78370.71129.81239.691. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.72611.45222.17832.90443.63052.1212.0853.2271.2761.886
MinAvgMaxCore i9 13900K10.4192.0289.4Ryzen 9 7950X16.0187.0215.0Ryzen 9 7950X3D20.6114.9129.3Ryzen 7 5800X3D19.0101.7113.9Ryzen 9 5950X20.1127.1145.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4K8K12K16K20KSE +/- 79.61, N = 3SE +/- 30.70, N = 3SE +/- 83.57, N = 3SE +/- 13.38, N = 3SE +/- 33.16, N = 313453.718820.918556.112734.213299.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100200300400500330.50323.31447.32299.84241.50
MinAvgMaxCore i9 13900K10.140.746.6Ryzen 9 7950X20.758.269.8Ryzen 9 7950X3D19.641.549.5Ryzen 7 5800X3D24.442.548.8Ryzen 9 5950X23.355.163.4OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.01, N = 3SE +/- 0.93, N = 3SE +/- 0.45, N = 3SE +/- 0.38, N = 3SE +/- 0.98, N = 382.9678.4872.4262.4169.231. (CC) gcc 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 0.11Encoder Speed: 2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1632486480SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 334.2734.8935.9471.7049.651. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore i9 13900K10.2132.5311.1Ryzen 9 7950X18.8129.5234.9Ryzen 9 7950X3D19.885.3127.7Ryzen 7 5800X3D24.193.7125.7Ryzen 9 5950X2.197.7144.2OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor80160240320400

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.24532.49063.73594.98126.2265SE +/- 0.002006, N = 3SE +/- 0.038218, N = 3SE +/- 0.005171, N = 3SE +/- 0.002181, N = 3SE +/- 0.020237, N = 33.6973385.5347355.1923842.3420924.0127991. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01190.02380.03570.04760.05950.0290.0360.0530.0230.031
MinAvgMaxCore i9 13900K10.3129.3162.7Ryzen 9 7950X19.4155.3188.7Ryzen 9 7950X3D21.098.8118.7Ryzen 7 5800X3D23.0100.8109.8Ryzen 9 5950X27.8130.5145.7OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.32, N = 15SE +/- 0.12, N = 15SE +/- 0.17, N = 12SE +/- 0.09, N = 3SE +/- 0.27, N = 315.3710.9211.5123.3519.03
MinAvgMaxCore i9 13900K10.2115.1301.6Ryzen 9 7950X10.8105.3234.1Ryzen 9 7950X3D18.767.3134.0Ryzen 7 5800X3D20.191.7133.9Ryzen 9 5950X24.993.9145.6OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor80160240320400

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.67, N = 15SE +/- 0.77, N = 15SE +/- 0.72, N = 15SE +/- 0.34, N = 5SE +/- 0.40, N = 1566.9876.5471.3832.4452.301. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.1890.3780.5670.7560.9450.4240.5230.8400.3110.473
MinAvgMaxCore i9 13900K10.2157.9296.5Ryzen 9 7950X17.5146.5231.9Ryzen 9 7950X3D17.285.0128.5Ryzen 7 5800X3D24.3104.4131.2Ryzen 9 5950X7.1110.7145.4OpenBenchmarking.orgWatts, Fewer Is Betterx264 2022-02-22CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1224364860SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 333.0835.5035.0554.3849.111. RawTherapee, version 5.9, command line.
MinAvgMaxCore i9 13900K10.3101.8151.9Ryzen 9 7950X20.592.9133.0Ryzen 9 7950X3D19.663.286.3Ryzen 7 5800X3D20.870.389.3Ryzen 9 5950X17.7103.1120.4OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.34072.68144.02215.36286.7035SE +/- 0.001006, N = 3SE +/- 0.032748, N = 3SE +/- 0.059317, N = 3SE +/- 0.002628, N = 3SE +/- 0.009453, N = 34.0260295.9586055.5777372.4369014.2996211. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01330.02660.03990.05320.06650.0320.0370.0590.0240.034
MinAvgMaxCore i9 13900K10.3126.7151.3Ryzen 9 7950X20.1160.9196.4Ryzen 9 7950X3D19.194.1112.8Ryzen 7 5800X3D22.7101.6110.6Ryzen 9 5950X16.7127.6145.7OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

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 4.0Preset: ExhaustiveCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.41690.83381.25071.66762.0845SE +/- 0.0006, N = 3SE +/- 0.0009, N = 3SE +/- 0.0017, N = 3SE +/- 0.0006, N = 3SE +/- 0.0035, N = 31.53731.85311.69470.70131.26021. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00340.00680.01020.01360.0170.0080.0100.0150.0060.010
MinAvgMaxCore i9 13900K10.3183.8288.8Ryzen 9 7950X20.2187.9233.0Ryzen 9 7950X3D20.4111.3130.6Ryzen 7 5800X3D18.7117.1128.1Ryzen 9 5950X16.0120.6136.6OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150112.36104.70113.30142.24137.71
MinAvgMaxCore i9 13900K10.287.397.9Ryzen 9 7950X19.280.487.3Ryzen 9 7950X3D21.355.658.5Ryzen 7 5800X3D19.667.973.9Ryzen 9 5950X20.088.497.6OpenBenchmarking.orgWatts, Fewer Is BetterRadiance Benchmark 5.0CPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1020304050SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.26, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 335.4138.1939.5845.2744.50
MinAvgMaxCore i9 13900K10.249.793.0Ryzen 9 7950X19.562.588.6Ryzen 9 7950X3D19.647.563.2Ryzen 7 5800X3D24.544.159.7Ryzen 9 5950X23.861.5100.7OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20K40K60K80K100KSE +/- 235.00, N = 3SE +/- 297.12, N = 3SE +/- 1243.88, N = 3SE +/- 212.34, N = 3SE +/- 462.76, N = 3113751999609522976303783291. chrome 110.0.5481.96
OpenBenchmarking.orgGeometric Mean Per Watt, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70014002100280035003083.042058.772334.211977.681514.47
MinAvgMaxCore i9 13900K10.136.962.2Ryzen 9 7950X19.448.668.1Ryzen 9 7950X3D17.540.862.5Ryzen 7 5800X3D21.138.654.3Ryzen 9 5950X26.051.778.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 323.3225.1823.7514.2317.391. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.06210.12420.18630.24840.31050.1400.1780.2760.1290.160
MinAvgMaxCore i9 13900K10.4166.5212.3Ryzen 9 7950X18.1141.7175.5Ryzen 9 7950X3D19.886.1100.2Ryzen 7 5800X3D14.9110.1124.9Ryzen 9 5950X25.9109.0130.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor60120180240300

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.29292.58583.87875.17166.4645SE +/- 0.035, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 34.8935.7465.2742.9163.8581. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01420.02840.04260.05680.0710.0300.0390.0630.0260.033
MinAvgMaxCore i9 13900K10.2163.4286.1Ryzen 9 7950X21.6148.0228.0Ryzen 9 7950X3D19.283.9125.8Ryzen 7 5800X3D15.5112.2136.4Ryzen 9 5950X21.7116.7144.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor70140210280350

SQLite Speedtest

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1020304050SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 331.7034.7335.5445.8244.221. (CC) gcc options: -O2 -lz
MinAvgMaxCore i9 13900K10.240.646.3Ryzen 9 7950X20.157.564.2Ryzen 9 7950X3D17.242.258.5Ryzen 7 5800X3D22.141.344.3Ryzen 9 5950X20.854.860.0OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 318.7522.9520.699.2615.361. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.04520.09040.13560.18080.2260.0950.1230.2010.0800.121
MinAvgMaxCore i9 13900K10.3197.6272.8Ryzen 9 7950X19.7186.0218.5Ryzen 9 7950X3D20.2102.7121.3Ryzen 7 5800X3D22.8115.6126.7Ryzen 9 5950X22.9127.1139.6OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 319.1623.4321.109.4815.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.04570.09140.13710.18280.22850.0990.1290.2030.0830.124
MinAvgMaxCore i9 13900K10.4194.0269.2Ryzen 9 7950X16.6181.5217.2Ryzen 9 7950X3D20.3103.9122.1Ryzen 7 5800X3D20.2114.8127.6Ryzen 9 5950X17.7126.3138.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor70140210280350

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 15SE +/- 0.00, N = 3SE +/- 0.03, N = 36.26.15.93.33.6
OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01620.03240.04860.06480.0810.0420.0470.0720.0350.029
MinAvgMaxCore i9 13900K10.5147.1258.1Ryzen 9 7950X18.0130.3211.5Ryzen 9 7950X3D17.081.4128.6Ryzen 7 5800X3D18.094.7121.4Ryzen 9 5950X29.3123.6145.9OpenBenchmarking.orgWatts, Fewer Is BetterNatron 2.4.3CPU Power Consumption Monitor70140210280350

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1428425670SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 331.9027.0528.5261.3132.831. (CXX) g++ options: -fopenmp -O2 -march=native
MinAvgMaxCore i9 13900K10.4195.6256.0Ryzen 9 7950X16.6180.9210.5Ryzen 9 7950X3D19.8115.3134.0Ryzen 7 5800X3D22.4108.2115.8Ryzen 9 5950X22.1128.0141.3OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.001419, N = 3SE +/- 0.074524, N = 7SE +/- 0.032785, N = 3SE +/- 0.002227, N = 3SE +/- 0.043283, N = 35.2350147.8969077.3726113.2604855.7265691. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.0180.0360.0540.0720.090.0420.0510.0800.0330.045
MinAvgMaxCore i9 13900K10.2125.9155.5Ryzen 9 7950X17.6155.4196.5Ryzen 9 7950X3D20.792.2113.2Ryzen 7 5800X3D21.2100.3110.6Ryzen 9 5950X22.3126.0145.5OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X11002200330044005500SE +/- 16.25, N = 3SE +/- 42.31, N = 6SE +/- 6.98, N = 3SE +/- 1.10, N = 3SE +/- 1.40, N = 35233.724425.464151.492127.933738.241. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X91827364527.1725.1739.0620.7129.33
MinAvgMaxCore i9 13900K10.3192.6276.8Ryzen 9 7950X19.9175.8200.6Ryzen 9 7950X3D19.2106.3119.0Ryzen 7 5800X3D21.8102.7114.9Ryzen 9 5950X26.1127.5142.5OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

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: 1 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 322.4824.7622.679.4916.221. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.04520.09040.13560.18080.2260.1170.1290.2010.0800.133
MinAvgMaxCore i9 13900K10.3192.7315.1Ryzen 9 7950X19.3192.7231.9Ryzen 9 7950X3D20.7112.9136.2Ryzen 7 5800X3D23.1118.1133.1Ryzen 9 5950X20.0121.9136.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor80160240320400

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1020304050SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 330.8232.8633.5742.0339.76
MinAvgMaxCore i9 13900K10.146.179.1Ryzen 9 7950X20.360.572.7Ryzen 9 7950X3D18.948.661.5Ryzen 7 5800X3D21.542.849.8Ryzen 9 5950X21.157.680.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450SE +/- 0.33, N = 3SE +/- 2.89, N = 3SE +/- 1.86, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 34363843652802911. chrome 110.0.5481.96
OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X369121513.4648.96110.1997.2085.362
MinAvgMaxCore i9 13900K10.032.456.1Ryzen 9 7950X18.542.965.5Ryzen 9 7950X3D19.835.855.4Ryzen 7 5800X3D20.438.854.9Ryzen 9 5950X17.754.387.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

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: Apache Spark BayesCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 0.90, N = 3SE +/- 0.71, N = 3SE +/- 0.10, N = 3SE +/- 1.72, N = 3SE +/- 13.79, N = 3665.9792.5785.51531.41927.8MIN: 481.68 / MAX: 667.68MIN: 587.35 / MAX: 793.32MIN: 581.49 / MAX: 785.65MIN: 1165.35 / MAX: 1533.83MIN: 1486.71 / MAX: 1954.98
MinAvgMaxCore i9 13900K10.3160.9227.0Ryzen 9 7950X19.4129.6169.0Ryzen 9 7950X3D20.483.9108.4Ryzen 7 5800X3D16.087.2106.7Ryzen 9 5950X23.6123.7144.2OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor60120180240300

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1326395265SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 327.2024.4022.3042.8558.311. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
MinAvgMaxCore i9 13900K10.3187.0248.6Ryzen 9 7950X20.3125.3148.4Ryzen 9 7950X3D20.987.7101.7Ryzen 7 5800X3D20.987.294.6Ryzen 9 5950X26.2125.5134.1OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor60120180240300

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X918273645SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 329.8133.0933.8737.2137.80
MinAvgMaxCore i9 13900K10.468.9138.3Ryzen 9 7950X19.768.6100.1Ryzen 9 7950X3D20.253.474.4Ryzen 7 5800X3D18.348.065.6Ryzen 9 5950X25.169.4109.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor4080120160200

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: 480000 - Buffer Size: 1024Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.057731, N = 5SE +/- 0.002215, N = 3SE +/- 0.022510, N = 3SE +/- 0.006907, N = 3SE +/- 0.037905, N = 35.4244428.2720117.6878873.2623755.8546171. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01870.03740.05610.07480.09350.0420.0520.0830.0320.047
MinAvgMaxCore i9 13900K10.2128.5155.1Ryzen 9 7950X19.0158.6198.9Ryzen 9 7950X3D19.693.0114.7Ryzen 7 5800X3D24.4101.1111.2Ryzen 9 5950X28.1123.4145.3OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.49050.9811.47151.9622.4525SE +/- 0.019091, N = 15SE +/- 0.000077, N = 4SE +/- 0.000394, N = 4SE +/- 0.000431, N = 4SE +/- 0.117925, N = 150.7835560.1286780.1447860.8254352.179870MIN: 0.55-lpthread - MIN: 0.78-lpthread - MIN: 1.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxCore i9 13900K10.2138.2229.2Ryzen 9 7950X17.2125.5224.2Ryzen 9 7950X3D18.677.2124.7Ryzen 7 5800X3D20.889.1139.3Ryzen 9 5950X14.2109.5145.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor60120180240300

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.25, N = 4SE +/- 0.01, N = 3SE +/- 0.08, N = 321.1821.4620.0416.8117.071. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.07180.14360.21540.28720.3590.1740.2030.3190.1800.139
MinAvgMaxCore i9 13900K10.3121.6145.2Ryzen 9 7950X20.0105.8126.1Ryzen 9 7950X3D19.562.970.9Ryzen 7 5800X3D15.893.2106.0Ryzen 9 5950X17.9122.4137.4OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor4080120160200

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.38040.76081.14121.52161.902SE +/- 0.003260, N = 5SE +/- 0.002971, N = 15SE +/- 0.010004, N = 15SE +/- 0.001006, N = 5SE +/- 0.011238, N = 140.6577250.3500240.5700280.6083391.690600MIN: 0.63MIN: 0.3MIN: 0.43-lpthread - MIN: 0.59-lpthread - MIN: 1.51. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxCore i9 13900K10.2135.1225.9Ryzen 9 7950X18.1106.8196.0Ryzen 9 7950X3D18.362.4101.9Ryzen 7 5800X3D21.383.7145.4Ryzen 9 5950X20.1100.0145.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor60120180240300

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1224364860SE +/- 0.03, N = 3SE +/- 0.44, N = 3SE +/- 0.41, N = 3SE +/- 0.12, N = 3SE +/- 0.33, N = 344.8137.9939.4144.3054.93
MinAvgMaxCore i9 13900K10.344.450.1Ryzen 9 7950X19.162.168.6Ryzen 9 7950X3D18.949.460.7Ryzen 7 5800X3D23.551.657.3Ryzen 9 5950X25.967.574.2OpenBenchmarking.orgWatts, Fewer Is BetterDeepSpeech 0.6CPU Power Consumption Monitor20406080100

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4K8K12K16K20KSE +/- 157.46, N = 3SE +/- 216.01, N = 4SE +/- 134.02, N = 3SE +/- 89.88, N = 3SE +/- 6.47, N = 313858.218877.219259.212991.713605.51. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100200300400500360.89314.02441.19297.95241.51
MinAvgMaxCore i9 13900K10.138.445.4Ryzen 9 7950X17.860.169.3Ryzen 9 7950X3D20.443.750.0Ryzen 7 5800X3D14.643.648.7Ryzen 9 5950X24.756.363.6OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4K8K12K16K20KSE +/- 79.44, N = 3SE +/- 178.19, N = 4SE +/- 115.61, N = 3SE +/- 57.71, N = 3SE +/- 6.85, N = 312902.1516706.3917165.7211683.2012178.461. (CC) gcc options: -O3

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X17003400510068008500SE +/- 49.82, N = 3SE +/- 18.75, N = 3SE +/- 24.77, N = 3SE +/- 33.30, N = 4SE +/- 8.40, N = 37123.557707.897110.752763.444658.291. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Memory CopyingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2040608010036.7749.3984.4627.3035.30
MinAvgMaxCore i9 13900K10.3193.8260.7Ryzen 9 7950X17.0156.1180.3Ryzen 9 7950X3D20.584.295.5Ryzen 7 5800X3D20.7101.2117.8Ryzen 9 5950X17.8132.0151.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 2.81, N = 15SE +/- 0.02, N = 5SE +/- 2.82, N = 15SE +/- 0.67, N = 4SE +/- 1.51, N = 4184.13218.01226.66268.49252.801. chrome 110.0.5481.96
MinAvgMaxCore i9 13900K5.123.546.9Ryzen 9 7950X19.336.461.4Ryzen 9 7950X3D19.233.056.6Ryzen 7 5800X3D21.333.445.5Ryzen 9 5950X22.542.660.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

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: 480000 - Buffer Size: 512Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.000414, N = 3SE +/- 0.035983, N = 3SE +/- 0.028177, N = 3SE +/- 0.003072, N = 3SE +/- 0.012084, N = 35.0774127.6773187.2290223.1621335.5465971. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01730.03460.05190.06920.08650.0400.0500.0770.0310.044
MinAvgMaxCore i9 13900K10.2126.7151.1Ryzen 9 7950X19.6154.9196.9Ryzen 9 7950X3D18.194.0114.5Ryzen 7 5800X3D8.0101.4110.6Ryzen 9 5950X27.4126.8145.5OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.930.880.830.670.721. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00410.00820.01230.01640.02050.0180.0150.0180.0140.011
MinAvgMaxCore i9 13900K9.950.465.4Ryzen 9 7950X19.659.969.0Ryzen 9 7950X3D18.145.255.4Ryzen 7 5800X3D19.046.653.1Ryzen 9 5950X20.463.672.8OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor20406080100

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X800K1600K2400K3200K4000KSE +/- 1428.39, N = 3SE +/- 506.92, N = 3SE +/- 1160.61, N = 3SE +/- 185.21, N = 3SE +/- 756.14, N = 33517761.823477980.143477892.661730567.003407082.541. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: SemaphoresCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X11K22K33K44K55K35655.6534106.3250489.3529229.9927945.03
MinAvgMaxCore i9 13900K10.398.7112.0Ryzen 9 7950X19.4102.0116.7Ryzen 9 7950X3D17.768.976.0Ryzen 7 5800X3D23.459.264.7Ryzen 9 5950X18.6121.9136.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X8M16M24M32M40MSE +/- 260323.82, N = 3SE +/- 203990.92, N = 3SE +/- 180709.68, N = 3SE +/- 8516.84, N = 3SE +/- 146269.37, N = 333684130.5337539926.4136092587.377668646.5924924097.801. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MallocCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70K140K210K280K350K170307.39201006.35313437.0875095.98193558.11
MinAvgMaxCore i9 13900K10.2197.8271.6Ryzen 9 7950X19.8186.8213.5Ryzen 9 7950X3D16.0115.2128.9Ryzen 7 5800X3D20.0102.1115.6Ryzen 9 5950X19.5128.8142.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 1.53, N = 3SE +/- 2.59, N = 3SE +/- 1.41, N = 3SE +/- 1.47, N = 3SE +/- 5.26, N = 31115.691195.061106.99432.77780.351. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X36912155.6986.80110.6494.0616.363
MinAvgMaxCore i9 13900K10.3195.8295.2Ryzen 9 7950X20.2175.7206.2Ryzen 9 7950X3D19.0104.0119.4Ryzen 7 5800X3D22.9106.6124.4Ryzen 9 5950X27.4122.6136.2OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30K60K90K120K150KSE +/- 64.89, N = 3SE +/- 112.60, N = 3SE +/- 47.26, N = 3SE +/- 43.72, N = 3SE +/- 43.72, N = 35331314765313640027167482971. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500281.05765.911248.82243.74396.33
MinAvgMaxCore i9 13900K10.4189.7269.6Ryzen 9 7950X17.4192.8229.1Ryzen 9 7950X3D16.8109.2126.8Ryzen 7 5800X3D21.4111.5126.1Ryzen 9 5950X14.3121.9135.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30K60K90K120K150KSE +/- 85.41, N = 3SE +/- 19.90, N = 3SE +/- 39.72, N = 3SE +/- 5.92, N = 3SE +/- 143.21, N = 3119388.16145114.57137986.8559200.31111113.841. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Vector MathCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500631.18819.751266.98597.65872.58
MinAvgMaxCore i9 13900K10.6189.2255.1Ryzen 9 7950X19.3177.0207.3Ryzen 9 7950X3D19.9108.9122.2Ryzen 7 5800X3D18.599.1111.3Ryzen 9 5950X23.4127.3142.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30K60K90K120K150KSE +/- 185.60, N = 3SE +/- 122.60, N = 3SE +/- 110.52, N = 3SE +/- 7.51, N = 3SE +/- 67.89, N = 3103299.38130380.61122854.7843765.1678872.211. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Matrix MathCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000543.94637.09982.56413.46639.30
MinAvgMaxCore i9 13900K10.4189.9253.6Ryzen 9 7950X19.6204.7235.6Ryzen 9 7950X3D20.2125.0142.4Ryzen 7 5800X3D20.5105.9119.8Ryzen 9 5950X25.4123.4138.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X10K20K30K40K50KSE +/- 54.01, N = 3SE +/- 80.13, N = 3SE +/- 37.57, N = 3SE +/- 7.19, N = 3SE +/- 39.92, N = 344383.1646618.1143702.3416797.6631804.891. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CryptoCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450230.59273.47415.12172.96248.74
MinAvgMaxCore i9 13900K10.2192.5263.8Ryzen 9 7950X19.7170.5195.4Ryzen 9 7950X3D19.6105.3121.6Ryzen 7 5800X3D19.297.1108.3Ryzen 9 5950X24.3127.9143.7OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X13K26K39K52K65KSE +/- 740.51, N = 3SE +/- 708.50, N = 3SE +/- 186.27, N = 3SE +/- 268.87, N = 3SE +/- 675.22, N = 351978.2961043.3957970.6224536.0847950.681. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CPU StressCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X130260390520650299.22356.86592.82247.69384.66
MinAvgMaxCore i9 13900K10.3173.7229.8Ryzen 9 7950X18.9171.1194.7Ryzen 9 7950X3D19.097.8111.5Ryzen 7 5800X3D19.199.1111.9Ryzen 9 5950X22.9124.7145.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor60120180240300

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100K200K300K400K500KSE +/- 396.86, N = 3SE +/- 2404.69, N = 3SE +/- 226.59, N = 3SE +/- 526.79, N = 3SE +/- 212.63, N = 34428004580134252831885073489471. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X80016002400320040002305.632449.273739.471845.612750.38
MinAvgMaxCore i9 13900K10.3192.1255.8Ryzen 9 7950X17.3187.0220.1Ryzen 9 7950X3D18.2113.7129.5Ryzen 7 5800X3D20.1102.1115.4Ryzen 9 5950X23.2126.9141.2OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X150300450600750SE +/- 0.98, N = 3SE +/- 0.31, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.41, N = 3330.68686.75641.01161.11306.651. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.31742.63483.95225.26966.5871.7883.5115.8551.6822.369
MinAvgMaxCore i9 13900K10.4184.9239.9Ryzen 9 7950X19.1195.6227.8Ryzen 9 7950X3D17.5109.5125.7Ryzen 7 5800X3D21.695.8106.5Ryzen 9 5950X17.8129.5144.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 3.42, N = 3SE +/- 8.24, N = 3SE +/- 1.32, N = 3SE +/- 0.75, N = 3SE +/- 1.96, N = 31174.691174.371099.05448.97827.561. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X36912156.1516.5619.5104.3206.655
MinAvgMaxCore i9 13900K10.4191.0274.9Ryzen 9 7950X18.4179.0210.3Ryzen 9 7950X3D20.7115.6129.9Ryzen 7 5800X3D23.2103.9117.4Ryzen 9 5950X27.9124.3139.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70K140K210K280K350KSE +/- 1609.65, N = 3SE +/- 2466.61, N = 3SE +/- 165.63, N = 3SE +/- 58.59, N = 3SE +/- 117.90, N = 3199987313527291570836901552701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60012001800240030001064.981687.532755.19816.061227.64
MinAvgMaxCore i9 13900K10.3187.8254.3Ryzen 9 7950X19.2185.8217.9Ryzen 9 7950X3D19.9105.8118.2Ryzen 7 5800X3D24.5102.6115.6Ryzen 9 5950X29.4126.5143.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

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 21.0Time To CompileCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1122334455SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 322.5321.6721.4249.3234.66
MinAvgMaxCore i9 13900K10.3161.0281.9Ryzen 9 7950X19.5147.2219.3Ryzen 9 7950X3D21.094.6134.7Ryzen 7 5800X3D22.6104.7123.5Ryzen 9 5950X17.1119.2145.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor70140210280350

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60K120K180K240K300KSE +/- 636.80, N = 3SE +/- 209.84, N = 3SE +/- 1039.32, N = 3SE +/- 23.33, N = 3SE +/- 124.23, N = 3159687282660263657847931500801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500835.861446.172354.42756.971227.77
MinAvgMaxCore i9 13900K10.5191.0265.9Ryzen 9 7950X19.0195.5223.6Ryzen 9 7950X3D16.7112.0125.3Ryzen 7 5800X3D20.8112.0126.3Ryzen 9 5950X22.9122.2135.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN 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.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50M100M150M200M250MSE +/- 470224.53, N = 3SE +/- 3033333.33, N = 3SE +/- 517472.49, N = 3SE +/- 233333.33, N = 3SE +/- 1631699.86, N = 6198833333235966667203066667157733333168533333-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgSamples / Second Per Watt, More Is BettersrsRAN 22.04.1Test: OFDM_TestCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.2M2.4M3.6M4.8M6M4755384.684300478.825385437.363697190.092925958.87
MinAvgMaxCore i9 13900K10.141.849.7Ryzen 9 7950X19.954.962.7Ryzen 9 7950X3D17.237.742.8Ryzen 7 5800X3D14.642.746.3Ryzen 9 5950X13.457.663.5OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor20406080100

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 4.4Time To CompileCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1122334455SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 321.9421.1921.9550.2232.34
MinAvgMaxCore i9 13900K10.3164.8282.9Ryzen 9 7950X19.5149.3222.1Ryzen 9 7950X3D20.394.2130.0Ryzen 7 5800X3D18.0104.1122.7Ryzen 9 5950X26.7116.5145.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor70140210280350

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.23690.47380.71070.94761.1845SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.0530.7480.6150.8341.010
MinAvgMaxCore i9 13900K10.042.959.6Ryzen 9 7950X16.861.167.7Ryzen 9 7950X3D17.841.749.5Ryzen 7 5800X3D22.944.949.7Ryzen 9 5950X9.058.964.9OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 327.7030.7128.3517.7221.131. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.08550.1710.25650.3420.42750.1980.2460.3800.1810.207
MinAvgMaxCore i9 13900K10.3139.8176.8Ryzen 9 7950X19.2124.6149.3Ryzen 9 7950X3D21.074.590.4Ryzen 7 5800X3D21.898.0113.9Ryzen 9 5950X18.1102.1124.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor50100150200250

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.001322, N = 3SE +/- 0.044158, N = 3SE +/- 0.035847, N = 3SE +/- 0.004391, N = 3SE +/- 0.026923, N = 35.6420158.4190147.9817793.3593975.9833691. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01940.03880.05820.07760.0970.0440.0540.0860.0330.048
MinAvgMaxCore i9 13900K10.2127.1153.8Ryzen 9 7950X19.4156.2199.1Ryzen 9 7950X3D18.792.5113.1Ryzen 7 5800X3D20.7100.7111.0Ryzen 9 5950X23.9124.4145.6OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor50100150200250

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN 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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.29, N = 3SE +/- 0.99, N = 3SE +/- 0.64, N = 3SE +/- 0.06, N = 3SE +/- 1.11, N = 3205.1251.2215.7173.1186.3-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.28142.56283.84425.12566.4075.4764.5365.6954.2413.674
MinAvgMaxCore i9 13900K10.037.542.2Ryzen 9 7950X16.855.461.7Ryzen 9 7950X3D18.237.940.6Ryzen 7 5800X3D17.240.844.5Ryzen 9 5950X21.150.756.1OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X150300450600750SE +/- 1.52, N = 3SE +/- 4.08, N = 3SE +/- 6.39, N = 3SE +/- 0.82, N = 3SE +/- 3.98, N = 3703.9671.9608.1516.7549.7-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 322.6323.3922.1921.7720.651. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.08620.17240.25860.34480.4310.2330.2470.3830.2640.190
MinAvgMaxCore i9 13900K10.297.2122.4Ryzen 9 7950X20.794.8110.3Ryzen 9 7950X3D20.257.965.5Ryzen 7 5800X3D22.482.596.5Ryzen 9 5950X22.9108.7123.9OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor4080120160200

ACES DGEMM

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

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.038122, N = 3SE +/- 0.029350, N = 3SE +/- 0.063022, N = 3SE +/- 0.011217, N = 3SE +/- 0.085076, N = 38.41752911.15948011.4286614.6933069.6768621. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.02660.05320.07980.10640.1330.0520.0780.1180.0500.077
MinAvgMaxCore i9 13900K10.3162.8240.2Ryzen 9 7950X18.3142.4181.7Ryzen 9 7950X3D19.096.6121.1Ryzen 7 5800X3D23.393.6103.9Ryzen 9 5950X20.4124.9145.8OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor60120180240300

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 4.0Binary: Pathtracer - Model: CrownCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 328.7732.4232.0214.5523.62MIN: 27.17 / MAX: 30.82MIN: 32.1 / MAX: 33.08MIN: 31.73 / MAX: 32.49MIN: 14.4 / MAX: 14.76MIN: 23.35 / MAX: 24.16
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.06170.12340.18510.24680.30850.1510.1730.2740.1230.186
MinAvgMaxCore i9 13900K10.6190.7287.3Ryzen 9 7950X19.5186.8227.9Ryzen 9 7950X3D21.0116.8138.3Ryzen 7 5800X3D22.9118.1129.0Ryzen 9 5950X22.4127.1143.4OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X816243240SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 330.1736.3836.0413.7722.53MIN: 28.37 / MAX: 32.49MIN: 35.77 / MAX: 37.25MIN: 35.71 / MAX: 36.68MIN: 13.66 / MAX: 13.95MIN: 22.23 / MAX: 23.05
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.07130.14260.21390.28520.35650.1580.1940.3170.1140.179
MinAvgMaxCore i9 13900K10.5190.8286.4Ryzen 9 7950X17.7187.9231.0Ryzen 9 7950X3D19.6113.7136.0Ryzen 7 5800X3D16.9120.9131.9Ryzen 9 5950X26.1125.6141.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor70140210280350

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.02, N = 4SE +/- 0.03, N = 5SE +/- 0.06, N = 20SE +/- 0.05, N = 4SE +/- 0.06, N = 410.9710.0410.2013.0512.35
MinAvgMaxCore i9 13900K10.137.248.7Ryzen 9 7950X17.951.864.1Ryzen 9 7950X3D19.046.261.2Ryzen 7 5800X3D24.140.646.9Ryzen 9 5950X21.251.663.8OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking Firefox 84.0CPU Power Consumption Monitor20406080100

Algebraic Multi-Grid Benchmark

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

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90M180M270M360M450MSE +/- 2423281.77, N = 3SE +/- 457167.13, N = 3SE +/- 399596.70, N = 3SE +/- 156345.04, N = 3SE +/- 69749.32, N = 34151192004307696674382888002341361002099941331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.3M2.6M3.9M5.2M6.5M2395578.224341818.616077019.523591133.581959157.71
MinAvgMaxCore i9 13900K10.3173.3249.3Ryzen 9 7950X17.799.2152.6Ryzen 9 7950X3D20.672.199.3Ryzen 7 5800X3D19.965.290.5Ryzen 9 5950X23.8107.2136.9OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor60120180240300

Timed MPlayer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X816243240SE +/- 0.16, N = 6SE +/- 0.02, N = 4SE +/- 0.06, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 316.0114.8615.4036.4422.62
MinAvgMaxCore i9 13900K10.3160.4290.0Ryzen 9 7950X18.1150.1220.6Ryzen 9 7950X3D18.493.3130.1Ryzen 7 5800X3D17.8103.8122.3Ryzen 9 5950X17.6114.9144.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed MPlayer Compilation 1.5CPU Power Consumption Monitor70140210280350

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.19, N = 15SE +/- 0.02, N = 4SE +/- 0.08, N = 410.3110.5611.2014.2513.46
MinAvgMaxCore i9 13900K10.134.745.2Ryzen 9 7950X18.848.561.0Ryzen 9 7950X3D17.241.459.1Ryzen 7 5800X3D20.439.945.6Ryzen 9 5950X17.150.460.2OpenBenchmarking.orgWatts, Fewer Is BetterDolfyn 0.527CPU Power Consumption Monitor20406080100

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 20.58, N = 20SE +/- 27.98, N = 20SE +/- 24.67, N = 20SE +/- 25.88, N = 20SE +/- 41.13, N = 2015711575164817751872
MinAvgMaxCore i9 13900K10.238.493.6Ryzen 9 7950X17.947.191.9Ryzen 9 7950X3D19.136.960.8Ryzen 7 5800X3D18.643.975.6Ryzen 9 5950X21.361.1111.5OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor20406080100

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 4.0Binary: Pathtracer ISPC - Model: Asian DragonCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X918273645SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.01, N = 3SE +/- 0.05, N = 337.2537.1839.7316.0324.45MIN: 35.14 / MAX: 39.61MIN: 36.82 / MAX: 38.24MIN: 39.38 / MAX: 41.15MIN: 15.95 / MAX: 16.27MIN: 24.27 / MAX: 24.99
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.08690.17380.26070.34760.43450.2000.2290.3860.1450.189
MinAvgMaxCore i9 13900K10.5186.2278.9Ryzen 9 7950X19.2162.1200.1Ryzen 9 7950X3D20.4103.0125.6Ryzen 7 5800X3D22.9110.9121.8Ryzen 9 5950X21.5129.2145.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 319.8023.9424.5029.0528.28
MinAvgMaxCore i9 13900K10.256.3102.5Ryzen 9 7950X18.365.287.9Ryzen 9 7950X3D19.350.164.9Ryzen 7 5800X3D22.946.057.2Ryzen 9 5950X24.163.898.1OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

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 4.0Binary: Pathtracer - Model: Asian DragonCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X816243240SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 333.5433.5434.3316.4824.74MIN: 31.42 / MAX: 35.72MIN: 33.23 / MAX: 34.25MIN: 33.87 / MAX: 34.89MIN: 16.34 / MAX: 16.79MIN: 24.59 / MAX: 25.13
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.07160.14320.21480.28640.3580.1790.2020.3180.1560.192
MinAvgMaxCore i9 13900K10.3186.9266.4Ryzen 9 7950X19.8166.4201.0Ryzen 9 7950X3D21.0107.9129.0Ryzen 7 5800X3D24.0105.7117.1Ryzen 9 5950X29.4128.8145.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350SE +/- 0.13, N = 3SE +/- 0.28, N = 3SE +/- 2.40, N = 3SE +/- 0.17, N = 3SE +/- 0.72, N = 3314.28335.52311.90254.47267.381. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec Per Watt, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468108.7236.0658.1666.2815.365
MinAvgMaxCore i9 13900K10.136.041.1Ryzen 9 7950X17.255.361.6Ryzen 9 7950X3D18.438.243.1Ryzen 7 5800X3D14.840.543.8Ryzen 9 5950X24.449.856.6OpenBenchmarking.orgWatts, Fewer Is Betterlibjpeg-turbo tjbench 2.1.0CPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X918273645SE +/- 0.07, N = 4SE +/- 0.01, N = 4SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.31, N = 311.6414.6214.5127.8439.181. (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
MinAvgMaxCore i9 13900K10.4163.5235.8Ryzen 9 7950X20.6100.5126.3Ryzen 9 7950X3D20.471.588.3Ryzen 7 5800X3D24.571.279.7Ryzen 9 5950X27.6116.0128.6OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor60120180240300

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 4.0Preset: ThoroughCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.0077, N = 3SE +/- 0.0136, N = 4SE +/- 0.0056, N = 3SE +/- 0.0046, N = 3SE +/- 0.0185, N = 316.360317.812516.05126.732312.02421. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.03670.07340.11010.14680.18350.1010.1080.1630.0610.109
MinAvgMaxCore i9 13900K10.3162.3294.4Ryzen 9 7950X20.2164.4234.6Ryzen 9 7950X3D21.198.4129.5Ryzen 7 5800X3D23.0110.4129.0Ryzen 9 5950X23.6110.5135.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.29, N = 15SE +/- 0.09, N = 5SE +/- 0.06, N = 5SE +/- 0.02, N = 3SE +/- 0.04, N = 416.7718.7017.659.0414.83MIN: 11.67 / MAX: 19.31MIN: 16.72 / MAX: 18.91MIN: 15.98 / MAX: 18.07MIN: 8.59 / MAX: 9.14MIN: 13.61 / MAX: 15.15
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.04460.08920.13380.17840.2230.1100.1330.1980.0890.140
MinAvgMaxCore i9 13900K10.4153.1278.9Ryzen 9 7950X17.4140.5204.7Ryzen 9 7950X3D18.989.4124.4Ryzen 7 5800X3D22.2101.4125.4Ryzen 9 5950X17.6105.7140.6OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor70140210280350

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN 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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.25, N = 3SE +/- 0.07, N = 3SE +/- 0.56, N = 3SE +/- 0.25, N = 3SE +/- 0.42, N = 3185.2237.3204.3163.1174.9-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.2292.4583.6874.9166.1454.9974.3555.4624.0143.396
MinAvgMaxCore i9 13900K10.237.148.2Ryzen 9 7950X17.954.565.0Ryzen 9 7950X3D19.737.441.3Ryzen 7 5800X3D16.340.645.6Ryzen 9 5950X23.751.558.7OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 1.28, N = 3SE +/- 0.98, N = 3SE +/- 5.08, N = 3SE +/- 0.65, N = 3SE +/- 0.68, N = 3636.6618.3552.5472.2502.7-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100200300400500SE +/- 0.15, N = 4SE +/- 0.63, N = 4SE +/- 3.52, N = 7SE +/- 1.25, N = 3SE +/- 1.04, N = 3341.9347.2376.3466.5448.41. chrome 110.0.5481.96
MinAvgMaxCore i9 13900K10.125.255.8Ryzen 9 7950X16.835.766.0Ryzen 9 7950X3D19.531.753.0Ryzen 7 5800X3D20.133.855.0Ryzen 9 5950X22.144.583.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X816243240SE +/- 0.42, N = 4SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 334.3835.9734.4216.1126.971. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.09590.19180.28770.38360.47950.2060.2540.4260.1700.216
MinAvgMaxCore i9 13900K10.3166.9236.3Ryzen 9 7950X20.9141.4180.4Ryzen 9 7950X3D20.980.8101.1Ryzen 7 5800X3D12.794.7119.8Ryzen 9 5950X16.5125.1144.7OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor60120180240300

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSECore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X816243240SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.25, N = 316.9519.6120.2133.2626.90
MinAvgMaxCore i9 13900K10.385.3307.4Ryzen 9 7950X18.581.2229.7Ryzen 9 7950X3D20.558.4134.5Ryzen 7 5800X3D20.564.6126.8Ryzen 9 5950X23.076.8144.6OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor80160240320400

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X40K80K120K160K200KSE +/- 985.52, N = 3SE +/- 282.00, N = 3SE +/- 814.41, N = 3SE +/- 172.79, N = 3SE +/- 237.45, N = 3145157184635176425738971400361. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000774.581191.171803.83876.201104.47
MinAvgMaxCore i9 13900K10.2187.4253.7Ryzen 9 7950X18.7155.0211.6Ryzen 9 7950X3D20.797.8131.1Ryzen 7 5800X3D14.684.3104.4Ryzen 9 5950X26.6126.8145.6OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X40K80K120K160K200KSE +/- 867.87, N = 3SE +/- 335.16, N = 3SE +/- 443.43, N = 3SE +/- 167.75, N = 3SE +/- 68.54, N = 318272117929118997984039946331. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: Random ForestCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100200300400500SE +/- 1.04, N = 3SE +/- 0.37, N = 3SE +/- 1.84, N = 3SE +/- 1.52, N = 3SE +/- 2.59, N = 3384.5372.9395.5482.9471.2MIN: 342.72 / MAX: 453.16MIN: 339.45 / MAX: 443.96MIN: 347.88 / MAX: 470.95MIN: 439.29 / MAX: 566.64MIN: 425.96 / MAX: 560.03
MinAvgMaxCore i9 13900K10.367.4143.1Ryzen 9 7950X20.572.6125.0Ryzen 9 7950X3D20.550.877.4Ryzen 7 5800X3D16.259.295.0Ryzen 9 5950X24.986.2131.8OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor4080120160200

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.26, N = 7SE +/- 0.45, N = 6SE +/- 1.32, N = 15SE +/- 0.90, N = 15SE +/- 0.41, N = 5120.38102.90104.4789.0665.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.43360.86721.30081.73442.1681.3941.2191.9271.3670.708
MinAvgMaxCore i9 13900K10.286.3147.3Ryzen 9 7950X19.284.4127.4Ryzen 9 7950X3D18.854.276.9Ryzen 7 5800X3D17.365.191.2Ryzen 9 5950X24.492.0129.4OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.33, N = 7SE +/- 0.34, N = 6SE +/- 1.12, N = 15SE +/- 1.17, N = 15SE +/- 0.46, N = 5127.03106.82104.8196.5570.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.44660.89321.33981.78642.2331.5671.3251.9851.5370.742
MinAvgMaxCore i9 13900K10.181.1138.8Ryzen 9 7950X19.980.6125.5Ryzen 9 7950X3D20.252.875.3Ryzen 7 5800X3D23.562.888.2Ryzen 9 5950X19.994.8127.8OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15KSE +/- 20.33, N = 15SE +/- 73.72, N = 2SE +/- 150.99, N = 7SE +/- 43.50, N = 15SE +/- 15.52, N = 67637.146265.7211883.308500.603214.731. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350185.34117.07305.92195.0853.14
MinAvgMaxCore i9 13900K10.141.2112.0Ryzen 9 7950X19.053.599.5Ryzen 9 7950X3D20.438.872.6Ryzen 7 5800X3D18.943.678.2Ryzen 9 5950X19.060.5122.7OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X15003000450060007500SE +/- 32.31, N = 15SE +/- 23.45, N = 6SE +/- 36.30, N = 7SE +/- 57.98, N = 15SE +/- 12.44, N = 64933.626168.556904.086022.712793.171. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.29480.58960.88441.17921.474SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.201.311.200.630.931. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00320.00640.00960.01280.0160.0080.0090.0140.0060.009
MinAvgMaxCore i9 13900K10.3159.2314.9Ryzen 9 7950X20.2139.2225.0Ryzen 9 7950X3D18.784.8137.1Ryzen 7 5800X3D24.1107.6143.0Ryzen 9 5950X28.1105.8140.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.27, N = 7SE +/- 0.32, N = 6SE +/- 1.34, N = 15SE +/- 0.72, N = 15SE +/- 0.19, N = 5126.14105.58106.5997.1768.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.44930.89861.34791.79722.24651.5301.3001.9971.5220.731
MinAvgMaxCore i9 13900K10.182.5140.3Ryzen 9 7950X20.581.2122.6Ryzen 9 7950X3D19.353.476.3Ryzen 7 5800X3D20.763.990.3Ryzen 9 5950X23.994.4130.0OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.72, N = 15SE +/- 0.09, N = 6SE +/- 0.03, N = 6SE +/- 0.05, N = 4SE +/- 0.08, N = 575.9787.8978.9239.0757.321. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.22640.45280.67920.90561.1320.4870.6521.0060.3780.529
MinAvgMaxCore i9 13900K10.2155.9271.4Ryzen 9 7950X19.7134.9209.0Ryzen 9 7950X3D20.678.5110.4Ryzen 7 5800X3D24.3103.4126.7Ryzen 9 5950X3.8108.4142.6OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 317.6819.7020.0824.8623.62
MinAvgMaxCore i9 13900K10.148.879.3Ryzen 9 7950X20.459.981.1Ryzen 9 7950X3D20.945.857.9Ryzen 7 5800X3D23.642.649.1Ryzen 9 5950X24.458.579.4OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of StateCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.04010.08020.12030.16040.2005SE +/- 0.000, N = 3SE +/- 0.001, N = 4SE +/- 0.001, N = 4SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1780.1210.1060.1460.171
MinAvgMaxCore i9 13900K9.942.748.4Ryzen 9 7950X17.257.073.0Ryzen 9 7950X3D18.240.550.6Ryzen 7 5800X3D23.345.552.7Ryzen 9 5950X27.158.473.7OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.40490.80981.21471.61962.0245SE +/- 0.012535, N = 3SE +/- 0.000506, N = 3SE +/- 0.001790, N = 3SE +/- 0.003085, N = 3SE +/- 0.010879, N = 30.9658240.4189260.4667301.7996001.122530MIN: 0.86MIN: 0.4MIN: 0.45-lpthread - MIN: 1.77-lpthread - MIN: 0.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxCore i9 13900K10.3172.3283.7Ryzen 9 7950X18.6146.6220.8Ryzen 9 7950X3D19.383.8120.7Ryzen 7 5800X3D22.496.9142.9Ryzen 9 5950X21.2111.0142.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor70140210280350

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 1Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.28130.56260.84391.12521.4065SE +/- 0.004, N = 3SE +/- 0.003, N = 4SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 31.1591.2501.1660.7520.949
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 1Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.00410.00820.01230.01640.02050.0100.0120.0180.0090.009
MinAvgMaxCore i9 13900K10.2112.1214.2Ryzen 9 7950X16.6101.1175.6Ryzen 9 7950X3D19.464.6104.6Ryzen 7 5800X3D19.882.2120.3Ryzen 9 5950X23.5103.3145.5OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor60120180240300

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.105, N = 15SE +/- 0.058, N = 6SE +/- 0.033, N = 6SE +/- 0.095, N = 4SE +/- 0.059, N = 57.4486.8477.20414.73311.011
MinAvgMaxCore i9 13900K10.295.5292.3Ryzen 9 7950X19.690.3232.9Ryzen 9 7950X3D18.160.7136.4Ryzen 7 5800X3D21.577.4118.1Ryzen 9 5950X22.986.1145.5OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400K800K1200K1600K2000KSE +/- 16916.01, N = 5SE +/- 12533.33, N = 4SE +/- 14330.85, N = 3SE +/- 10096.19, N = 3SE +/- 4891.90, N = 3163985112195741157109891445943774
OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X10K20K30K40K50K46842.8124199.9530898.0822890.6319629.62
MinAvgMaxCore i9 13900K10.035.047.1Ryzen 9 7950X18.350.460.4Ryzen 9 7950X3D15.037.442.1Ryzen 7 5800X3D20.738.943.6Ryzen 9 5950X29.248.152.5OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor20406080100

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X11002200330044005500SE +/- 41.48, N = 4SE +/- 34.51, N = 3SE +/- 52.25, N = 3SE +/- 24.79, N = 3SE +/- 26.94, N = 35310.64602.74605.33482.83650.31. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150137.0990.5591.3487.3074.11
MinAvgMaxCore i9 13900K10.138.749.9Ryzen 9 7950X17.250.859.0Ryzen 9 7950X3D19.450.458.0Ryzen 7 5800X3D21.839.943.1Ryzen 9 5950X21.049.353.2OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.21CPU Power Consumption Monitor1632486480

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 7.9.2Test: Sequential FillCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X300K600K900K1200K1500KSE +/- 9220.65, N = 3SE +/- 2383.09, N = 3SE +/- 3517.03, N = 3SE +/- 4891.69, N = 4SE +/- 2790.99, N = 3148654915037741441409139093814200561. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Sequential FillCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4K8K12K16K20K8703.379494.8414556.9018542.7311160.07
MinAvgMaxCore i9 13900K10.4170.8209.2Ryzen 9 7950X15.6158.4189.7Ryzen 9 7950X3D16.599.0117.3Ryzen 7 5800X3D20.275.095.4Ryzen 9 5950X26.4127.2145.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor60120180240300

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 317.3219.3819.7723.3823.10
MinAvgMaxCore i9 13900K10.355.795.1Ryzen 9 7950X18.763.589.5Ryzen 9 7950X3D21.049.662.0Ryzen 7 5800X3D23.444.760.2Ryzen 9 5950X23.865.491.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

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 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X400M800M1200M1600M2000MSE +/- 2138535.32, N = 3SE +/- 1934195.21, N = 3SE +/- 517472.49, N = 3SE +/- 750022.22, N = 3SE +/- 581186.53, N = 317157000001637466667148613333362875000010686333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3M6M9M12M15M9329280.319069208.2413393712.686038721.239384068.82
MinAvgMaxCore i9 13900K10.3183.9305.0Ryzen 9 7950X18.5180.6229.8Ryzen 9 7950X3D20.7111.0136.4Ryzen 7 5800X3D21.7104.1130.6Ryzen 9 5950X23.6113.9137.7OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X200M400M600M800M1000MSE +/- 712959.40, N = 3SE +/- 8035434.72, N = 3SE +/- 1345696.85, N = 3SE +/- 2526831.57, N = 3SE +/- 722041.86, N = 38253733338026166677553800005539233335824833331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2M4M6M8M10M6179993.576924489.9410723673.085602101.364638801.35
MinAvgMaxCore i9 13900K10.4133.6184.3Ryzen 9 7950X19.9115.9138.4Ryzen 9 7950X3D20.970.481.5Ryzen 7 5800X3D22.798.9116.0Ryzen 9 5950X24.6125.6145.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X300M600M900M1200M1500MSE +/- 1827870.65, N = 3SE +/- 7945718.62, N = 3SE +/- 3742102.80, N = 3SE +/- 476806.51, N = 3SE +/- 3141832.44, N = 312866333331573433333147990000062792666710213666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3M6M9M12M15M7640508.278683994.1613053414.075992937.448568841.79
MinAvgMaxCore i9 13900K10.4168.4245.6Ryzen 9 7950X19.5181.2221.1Ryzen 9 7950X3D15.8113.4135.4Ryzen 7 5800X3D22.7104.8129.2Ryzen 9 5950X17.9119.2139.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor60120180240300

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.19, N = 6SE +/- 0.25, N = 6SE +/- 0.92, N = 15SE +/- 0.15, N = 5SE +/- 0.32, N = 5101.8290.5888.5872.9458.751. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.33950.6791.01851.3581.69751.0440.9741.5091.0180.577
MinAvgMaxCore i9 13900K10.397.6156.7Ryzen 9 7950X19.893.0136.8Ryzen 9 7950X3D17.158.780.6Ryzen 7 5800X3D18.971.795.0Ryzen 9 5950X23.5101.8130.8OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

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: Visual Quality Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.99, N = 7SE +/- 0.72, N = 7SE +/- 0.75, N = 15SE +/- 0.38, N = 4SE +/- 0.62, N = 5117.33109.44109.0445.7755.581. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.34040.68081.02121.36161.7020.9390.9171.5130.5010.506
MinAvgMaxCore i9 13900K10.2124.9294.4Ryzen 9 7950X20.0119.3207.4Ryzen 9 7950X3D19.372.1115.3Ryzen 7 5800X3D20.391.3118.1Ryzen 9 5950X19.3109.8145.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4K8K12K16K20KSE +/- 182.55, N = 15SE +/- 62.53, N = 5SE +/- 46.68, N = 5SE +/- 8.30, N = 4SE +/- 31.67, N = 417636115771078369587279
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterNode.js Express HTTP Load TestCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450408.28210.27250.89148.56107.89
MinAvgMaxCore i9 13900K10.143.270.3Ryzen 9 7950X20.255.174.1Ryzen 9 7950X3D18.843.053.0Ryzen 7 5800X3D22.446.856.9Ryzen 9 5950X20.167.583.2OpenBenchmarking.orgWatts, Fewer Is BetterNode.js Express HTTP Load TestCPU Power Consumption Monitor20406080100

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1122334455SE +/- 0.11, N = 4SE +/- 0.24, N = 4SE +/- 0.16, N = 4SE +/- 0.05, N = 4SE +/- 0.07, N = 346.5643.6239.6337.2736.341. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.19240.38480.57720.76960.9620.6880.6130.8550.6460.448
MinAvgMaxCore i9 13900K10.367.788.9Ryzen 9 7950X20.171.289.4Ryzen 9 7950X3D20.446.353.8Ryzen 7 5800X3D22.857.768.6Ryzen 9 5950X29.181.196.6OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor20406080100

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 4.0Preset: FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450SE +/- 0.25, N = 4SE +/- 0.31, N = 5SE +/- 0.19, N = 5SE +/- 0.08, N = 3SE +/- 0.56, N = 4339.53406.61367.90157.96281.081. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.93441.86882.80323.73764.6722.2352.7834.1531.5212.743
MinAvgMaxCore i9 13900K10.3151.9292.9Ryzen 9 7950X19.4146.1235.4Ryzen 9 7950X3D17.788.6129.6Ryzen 7 5800X3D20.2103.8129.7Ryzen 9 5950X17.7102.5141.5OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1122334455SE +/- 0.22, N = 4SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 3SE +/- 0.06, N = 343.4050.7145.5023.6834.781. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.11950.2390.35850.4780.59750.2450.3380.5310.2170.296
MinAvgMaxCore i9 13900K10.4176.8250.9Ryzen 9 7950X21.1150.1205.2Ryzen 9 7950X3D18.885.7110.1Ryzen 7 5800X3D15.7109.3126.0Ryzen 9 5950X24.1117.3140.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor60120180240300

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.28, N = 5SE +/- 0.19, N = 4SE +/- 1.10, N = 4SE +/- 0.56, N = 3SE +/- 0.16, N = 4153.44188.74199.96246.70237.33MIN: 149.26 / MAX: 190.32MIN: 187.81 / MAX: 189.89MIN: 188.83 / MAX: 207.01MIN: 245.03 / MAX: 249.54MIN: 235.02 / MAX: 240.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxCore i9 13900K10.267.691.6Ryzen 9 7950X19.057.870.5Ryzen 9 7950X3D18.940.759.9Ryzen 7 5800X3D15.646.652.9Ryzen 9 5950X13.679.093.4OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor20406080100

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral MixingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.090.180.270.360.45SE +/- 0.003, N = 4SE +/- 0.001, N = 4SE +/- 0.002, N = 4SE +/- 0.001, N = 3SE +/- 0.002, N = 30.3290.2380.2300.3800.400
MinAvgMaxCore i9 13900K10.138.359.7Ryzen 9 7950X18.453.067.3Ryzen 9 7950X3D18.040.658.6Ryzen 7 5800X3D22.941.445.9Ryzen 9 5950X27.852.762.8OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.01640, N = 7SE +/- 0.00702, N = 7SE +/- 0.07096, N = 15SE +/- 0.02026, N = 7SE +/- 0.15435, N = 95.870625.191385.3536011.7808019.15900MIN: 5.7MIN: 5.11MIN: 4.93-lpthread - MIN: 11.46-lpthread - MIN: 18.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxCore i9 13900K10.2125.5247.5Ryzen 9 7950X19.1107.2223.1Ryzen 9 7950X3D20.258.988.4Ryzen 7 5800X3D23.073.1142.6Ryzen 9 5950X17.780.4121.2OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor60120180240300

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.01, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 411.6612.6512.6016.1415.441. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxCore i9 13900K9.932.541.0Ryzen 9 7950X17.850.861.2Ryzen 9 7950X3D20.746.355.5Ryzen 7 5800X3D19.237.541.8Ryzen 9 5950X20.450.156.3OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1632486480SE +/- 0.13, N = 4SE +/- 0.32, N = 5SE +/- 0.32, N = 4SE +/- 0.09, N = 4SE +/- 0.11, N = 370.2673.4867.6944.7341.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.2180.4360.6540.8721.090.5680.6460.9690.4800.540
MinAvgMaxCore i9 13900K10.3123.6197.3Ryzen 9 7950X18.7113.8164.8Ryzen 9 7950X3D20.869.994.0Ryzen 7 5800X3D22.593.2117.7Ryzen 9 5950X21.277.798.8OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor50100150200250

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN 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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 0.37, N = 4SE +/- 0.82, N = 4SE +/- 0.93, N = 4SE +/- 0.65, N = 4SE +/- 1.41, N = 4246.9259.5223.1182.7196.3-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468107.2915.1356.2324.6723.950
MinAvgMaxCore i9 13900K10.233.942.7Ryzen 9 7950X17.250.561.6Ryzen 9 7950X3D18.935.840.7Ryzen 7 5800X3D17.439.143.0Ryzen 9 5950X17.149.758.2OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X150300450600750SE +/- 2.11, N = 4SE +/- 1.07, N = 4SE +/- 1.94, N = 4SE +/- 0.45, N = 4SE +/- 4.41, N = 4692.9660.4609.5515.4555.7-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.20, N = 4SE +/- 0.88, N = 5SE +/- 0.51, N = 5SE +/- 0.06, N = 3SE +/- 0.15, N = 4109.5143.0127.775.679.9-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.80891.61782.42673.23564.04453.2672.9073.5951.9631.577
MinAvgMaxCore i9 13900K10.033.542.0Ryzen 9 7950X16.549.261.4Ryzen 9 7950X3D18.135.541.3Ryzen 7 5800X3D16.038.542.4Ryzen 9 5950X20.750.756.5OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 1.04, N = 4SE +/- 1.62, N = 5SE +/- 0.67, N = 5SE +/- 0.54, N = 3SE +/- 0.32, N = 4228.2210.1191.0154.1163.6-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

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 2.10.32Test: unsharp-maskCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 411.8613.0413.1814.4315.42
MinAvgMaxRyzen 9 7950X18.963.389.0Ryzen 9 7950X3D20.747.961.3Ryzen 7 5800X3D16.346.761.7Ryzen 9 5950X15.172.294.3OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor20406080100

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 4.10, N = 15SE +/- 3.52, N = 15SE +/- 3.52, N = 15SE +/- 0.67, N = 7SE +/- 1.28, N = 15220.29215.19210.56118.03124.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.94211.88422.82633.76844.71052.7382.7514.1871.8221.466
MinAvgMaxCore i9 13900K10.280.5220.1Ryzen 9 7950X18.578.2173.5Ryzen 9 7950X3D19.650.397.2Ryzen 7 5800X3D20.864.8105.5Ryzen 9 5950X20.485.0143.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor60120180240300

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 19Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.03, N = 4SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.02, N = 412.8311.4810.1913.3314.45
MinAvgMaxCore i9 13900K10.131.640.5Ryzen 9 7950X17.450.161.2Ryzen 9 7950X3D18.836.542.7Ryzen 7 5800X3D21.638.142.6Ryzen 9 5950X17.946.551.8OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor20406080100

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3M6M9M12M15MSE +/- 64159.22, N = 4SE +/- 76270.31, N = 4SE +/- 87638.38, N = 4SE +/- 29665.04, N = 3SE +/- 16648.56, N = 314508057148529271340863710914908115346171. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterCrafty 25.2Elapsed TimeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90K180K270K360K450K405958.92290518.55363393.45279451.45227131.78
MinAvgMaxCore i9 13900K10.135.744.8Ryzen 9 7950X19.151.177.2Ryzen 9 7950X3D20.836.941.7Ryzen 7 5800X3D21.339.142.9Ryzen 9 5950X25.450.856.4OpenBenchmarking.orgWatts, Fewer Is BetterCrafty 25.2CPU Power Consumption Monitor20406080100

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 5Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.13112.26223.39334.52445.6555SE +/- 0.010, N = 4SE +/- 0.014, N = 4SE +/- 0.022, N = 4SE +/- 0.005, N = 3SE +/- 0.013, N = 44.5725.0274.6573.3303.769
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 5Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.02070.04140.06210.08280.10350.0660.0670.0920.0510.044
MinAvgMaxCore i9 13900K10.369.0128.9Ryzen 9 7950X16.075.1112.6Ryzen 9 7950X3D14.350.481.2Ryzen 7 5800X3D18.864.996.0Ryzen 9 5950X24.386.3127.7OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor4080120160200

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.04, N = 5SE +/- 0.19, N = 4SE +/- 0.14, N = 4SE +/- 0.04, N = 4SE +/- 0.77, N = 4123.20179.06189.31225.97213.05MIN: 122.51 / MAX: 124.34MIN: 178.58 / MAX: 179.74MIN: 188.81 / MAX: 190.65MIN: 225.75 / MAX: 228.64MIN: 211.46 / MAX: 218.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxCore i9 13900K10.132.443.4Ryzen 9 7950X17.949.860.3Ryzen 9 7950X3D19.035.540.3Ryzen 7 5800X3D17.239.344.4Ryzen 9 5950X9.147.354.1OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor1632486480

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 0.93, N = 5SE +/- 4.96, N = 4SE +/- 4.77, N = 4SE +/- 2.56, N = 4SE +/- 3.09, N = 4388508573670632
MinAvgMaxCore i9 13900K10.034.447.0Ryzen 9 7950X19.148.158.1Ryzen 9 7950X3D15.736.641.8Ryzen 7 5800X3D20.438.743.2Ryzen 9 5950X18.547.152.8OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor1632486480

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.52881.05761.58642.11522.644SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.01, N = 4SE +/- 0.01, N = 42.352.262.311.701.881. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.01730.03460.05190.06920.08650.0770.0470.0510.0460.040
MinAvgMaxCore i9 13900K10.030.443.9Ryzen 9 7950X19.747.860.7Ryzen 9 7950X3D20.845.057.9Ryzen 7 5800X3D20.437.342.6Ryzen 9 5950X24.946.956.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor20406080100

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.028, N = 4SE +/- 0.031, N = 5SE +/- 0.014, N = 4SE +/- 0.018, N = 3SE +/- 0.033, N = 412.96815.66514.3469.31711.3081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.05130.10260.15390.20520.25650.1170.1470.2280.1010.104
MinAvgMaxCore i9 13900K10.3111.1198.3Ryzen 9 7950X20.6106.8181.4Ryzen 9 7950X3D17.462.995.7Ryzen 7 5800X3D15.992.2135.9Ryzen 9 5950X17.9108.6145.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor50100150200250

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1530456075SE +/- 0.37, N = 5SE +/- 0.06, N = 5SE +/- 0.05, N = 5SE +/- 0.03, N = 3SE +/- 0.03, N = 455.0366.9060.1429.4244.501. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.15820.31640.47460.63280.7910.3300.4500.7030.2710.393
MinAvgMaxCore i9 13900K10.4166.7265.9Ryzen 9 7950X20.8148.5212.2Ryzen 9 7950X3D20.185.5114.9Ryzen 7 5800X3D24.9108.4128.7Ryzen 9 5950X26.1113.3140.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor70140210280350

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 0.13, N = 3SE +/- 0.41, N = 5SE +/- 0.58, N = 5SE +/- 0.57, N = 4SE +/- 0.13, N = 4698.98867.75832.68697.22542.531. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X36912157.68613.0187.7514.479
MinAvgMaxRyzen 9 7950X19.5112.9155.6Ryzen 9 7950X3D19.464.086.1Ryzen 7 5800X3D19.289.9116.2Ryzen 9 5950X16.8121.1145.7OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor4080120160200

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.03, N = 7SE +/- 0.07, N = 7SE +/- 0.36, N = 15SE +/- 0.19, N = 6SE +/- 0.19, N = 615.3417.6419.7123.2821.821. chrome 110.0.5481.96
MinAvgMaxCore i9 13900K10.116.635.8Ryzen 9 7950X19.027.450.2Ryzen 9 7950X3D17.926.247.2Ryzen 7 5800X3D14.928.141.5Ryzen 9 5950X21.235.156.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1632486480

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 2.10.32Test: resizeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.04, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 4SE +/- 0.01, N = 4SE +/- 0.09, N = 412.6612.4612.7013.0913.83
MinAvgMaxRyzen 9 7950X18.363.993.5Ryzen 9 7950X3D19.649.572.4Ryzen 7 5800X3D14.946.460.4Ryzen 9 5950X22.672.9104.4OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 2.18, N = 5SE +/- 1.72, N = 4SE +/- 1.55, N = 5SE +/- 0.94, N = 4SE +/- 0.52, N = 4628.96448.95551.29480.78219.781. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X369121512.7667.48410.91310.2773.173
MinAvgMaxCore i9 13900K10.149.3183.9Ryzen 9 7950X20.760.0124.5Ryzen 9 7950X3D15.950.587.1Ryzen 7 5800X3D16.046.8100.7Ryzen 9 5950X27.269.3126.2OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor50100150200250

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 2.10.32Test: auto-levelsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.10, N = 4SE +/- 0.03, N = 410.1110.6810.7512.8812.73
MinAvgMaxRyzen 9 7950X18.057.779.8Ryzen 9 7950X3D16.544.056.9Ryzen 7 5800X3D24.542.854.5Ryzen 9 5950X26.163.684.9OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor20406080100

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.40, N = 5SE +/- 0.10, N = 5SE +/- 0.11, N = 5SE +/- 0.10, N = 3SE +/- 0.05, N = 466.8174.7370.1036.4348.131. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.21060.42120.63180.84241.0530.4600.5750.9360.3590.442
MinAvgMaxCore i9 13900K10.3145.2278.1Ryzen 9 7950X20.0129.9210.6Ryzen 9 7950X3D19.474.9117.1Ryzen 7 5800X3D21.6101.4133.6Ryzen 9 5950X23.6108.8146.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor70140210280350

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 8.0Length: 1e12Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.021, N = 5SE +/- 0.008, N = 7SE +/- 0.005, N = 6SE +/- 0.015, N = 3SE +/- 0.014, N = 511.3276.1096.84817.96810.6481. (CXX) g++ options: -O3
MinAvgMaxCore i9 13900K10.4162.4269.2Ryzen 9 7950X19.8142.4228.6Ryzen 9 7950X3D19.384.3127.7Ryzen 7 5800X3D21.7108.8134.4Ryzen 9 5950X17.7102.4131.9OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor70140210280350

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN 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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 1.91, N = 5SE +/- 0.74, N = 5SE +/- 1.02, N = 5SE +/- 0.64, N = 4SE +/- 1.31, N = 4229.3248.2257.2174.6190.7-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468107.1335.1015.6324.5163.843
MinAvgMaxCore i9 13900K10.232.143.2Ryzen 9 7950X17.148.761.7Ryzen 9 7950X3D18.945.757.5Ryzen 7 5800X3D16.238.745.3Ryzen 9 5950X28.549.658.5OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 4.06, N = 5SE +/- 0.79, N = 5SE +/- 2.62, N = 5SE +/- 0.90, N = 4SE +/- 3.43, N = 4618.9614.4635.9470.7511.8-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.008, N = 6SE +/- 0.028, N = 5SE +/- 0.010, N = 6SE +/- 0.003, N = 4SE +/- 0.024, N = 58.3238.4317.46213.29410.423
MinAvgMaxCore i9 13900K10.286.2266.7Ryzen 9 7950X16.585.5216.8Ryzen 9 7950X3D18.158.2124.7Ryzen 7 5800X3D20.371.2111.9Ryzen 9 5950X13.873.0141.9OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor70140210280350

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 2.10.32Test: rotateCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.005, N = 5SE +/- 0.032, N = 5SE +/- 0.012, N = 5SE +/- 0.013, N = 4SE +/- 0.014, N = 49.4699.4539.49712.45511.836
MinAvgMaxRyzen 9 7950X18.849.471.3Ryzen 9 7950X3D18.037.850.8Ryzen 7 5800X3D20.039.349.6Ryzen 9 5950X28.253.164.3OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor20406080100

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 6Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.044, N = 5SE +/- 0.041, N = 6SE +/- 0.048, N = 6SE +/- 0.007, N = 4SE +/- 0.040, N = 56.9497.9087.3355.1145.763
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 6Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.03420.06840.10260.13680.1710.1060.1100.1520.0810.068
MinAvgMaxCore i9 13900K10.365.6103.6Ryzen 9 7950X17.771.7110.3Ryzen 9 7950X3D18.948.366.2Ryzen 7 5800X3D19.063.587.1Ryzen 9 5950X23.684.4111.8OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.11, N = 6SE +/- 0.09, N = 6SE +/- 0.15, N = 6SE +/- 0.04, N = 4SE +/- 0.03, N = 572.3589.0279.5147.7064.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.27020.54040.81061.08081.3510.5780.7621.2010.5050.583
MinAvgMaxCore i9 13900K10.2125.2190.9Ryzen 9 7950X21.0116.9177.7Ryzen 9 7950X3D21.066.293.4Ryzen 7 5800X3D20.994.4119.8Ryzen 9 5950X23.1110.1145.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor50100150200250

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15KSE +/- 12.29, N = 8SE +/- 11.39, N = 6SE +/- 23.98, N = 7SE +/- 1.53, N = 5SE +/- 8.73, N = 511725.468487.099024.845579.135160.031. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200162.39130.36181.1492.5964.84
MinAvgMaxCore i9 13900K10.172.2143.1Ryzen 9 7950X16.365.1101.0Ryzen 9 7950X3D18.949.872.3Ryzen 7 5800X3D18.560.388.1Ryzen 9 5950X17.879.6117.2OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor4080120160200

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X90180270360450SE +/- 0.30, N = 3SE +/- 2.88, N = 5SE +/- 0.13, N = 5SE +/- 0.36, N = 4SE +/- 0.26, N = 3429.21394.40401.30253.07212.531. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 4KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.22092.44183.66274.88366.10453.2145.4262.6211.745
MinAvgMaxRyzen 9 7950X20.5122.7185.5Ryzen 9 7950X3D20.374.0102.6Ryzen 7 5800X3D19.996.6122.8Ryzen 9 5950X23.0121.8145.8OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor50100150200250

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: MediumCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.11, N = 6SE +/- 0.12, N = 6SE +/- 0.06, N = 6SE +/- 0.05, N = 4SE +/- 0.09, N = 575.2292.1982.1849.4766.771. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.28040.56080.84121.12161.4020.5950.7911.2460.5210.612
MinAvgMaxCore i9 13900K10.2126.4195.4Ryzen 9 7950X19.1116.6179.9Ryzen 9 7950X3D20.266.092.4Ryzen 7 5800X3D19.994.9121.1Ryzen 9 5950X17.7109.1145.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor50100150200250

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: 7 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.49, N = 6SE +/- 0.10, N = 7SE +/- 0.05, N = 6SE +/- 0.06, N = 4SE +/- 0.07, N = 5103.67105.34101.1145.5366.731. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.27880.55760.83641.11521.3940.7450.7971.2390.4460.626
MinAvgMaxCore i9 13900K10.3139.1311.2Ryzen 9 7950X17.5132.1226.0Ryzen 9 7950X3D18.581.6129.0Ryzen 7 5800X3D24.2102.1132.5Ryzen 9 5950X12.6106.6146.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor80160240320400

N-Queens

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

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.052, N = 7SE +/- 0.003, N = 7SE +/- 0.004, N = 7SE +/- 0.002, N = 4SE +/- 0.001, N = 66.1365.7065.98513.6647.0591. (CC) gcc options: -static -fopenmp -O3 -march=native
MinAvgMaxCore i9 13900K10.3145.7247.6Ryzen 9 7950X16.4127.7208.4Ryzen 9 7950X3D18.682.0129.7Ryzen 7 5800X3D20.286.2106.6Ryzen 9 5950X20.8102.7145.6OpenBenchmarking.orgWatts, Fewer Is BetterN-Queens 1.0CPU Power Consumption Monitor60120180240300

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.17, N = 7SE +/- 0.12, N = 7SE +/- 0.19, N = 7SE +/- 0.03, N = 4SE +/- 0.03, N = 4145.06113.19117.5751.3352.661. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.40340.80681.21021.61362.0171.2091.1071.7930.6520.488
MinAvgMaxCore i9 13900K10.1120.0258.5Ryzen 9 7950X18.5102.3177.2Ryzen 9 7950X3D16.965.6105.5Ryzen 7 5800X3D19.278.7107.2Ryzen 9 5950X21.5108.0143.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 0.43, N = 3SE +/- 0.93, N = 5SE +/- 0.68, N = 5SE +/- 0.10, N = 4SE +/- 3.50, N = 4976.80989.45916.09767.36720.131. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X481216208.94014.2298.7096.185
MinAvgMaxRyzen 9 7950X20.5110.7156.2Ryzen 9 7950X3D20.464.486.9Ryzen 7 5800X3D21.288.1114.8Ryzen 9 5950X20.7116.4145.7OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor4080120160200

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 4.0Preset: MediumCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.17, N = 6SE +/- 0.09, N = 7SE +/- 0.06, N = 7SE +/- 0.02, N = 4SE +/- 0.06, N = 6125.15143.20129.1454.7597.581. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: MediumCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.42660.85321.27981.70642.1331.2101.3521.8960.6321.187
MinAvgMaxCore i9 13900K10.3103.4293.0Ryzen 9 7950X17.6105.9234.1Ryzen 9 7950X3D20.768.1129.9Ryzen 7 5800X3D21.486.7129.5Ryzen 9 5950X21.582.2136.5OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor70140210280350

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 10Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.03, N = 7SE +/- 0.05, N = 7SE +/- 0.08, N = 7SE +/- 0.02, N = 6SE +/- 0.08, N = 615.9918.1616.5512.4613.45
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 10Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.08570.17140.25710.34280.42850.2930.2890.3810.2190.173
MinAvgMaxCore i9 13900K10.254.688.0Ryzen 9 7950X16.862.999.0Ryzen 9 7950X3D19.843.462.1Ryzen 7 5800X3D19.656.975.3Ryzen 9 5950X20.177.9107.7OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor20406080100

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.030, N = 7SE +/- 0.014, N = 7SE +/- 0.011, N = 7SE +/- 0.019, N = 5SE +/- 0.039, N = 65.6345.2065.46110.9697.5981. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore i9 13900K10.386.3299.1Ryzen 9 7950X19.293.7233.1Ryzen 9 7950X3D19.263.2129.0Ryzen 7 5800X3D21.080.0125.5Ryzen 9 5950X18.781.8143.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor80160240320400

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.014, N = 7SE +/- 0.017, N = 6SE +/- 0.028, N = 6SE +/- 0.013, N = 6SE +/- 0.028, N = 55.3947.1387.3277.8358.504
MinAvgMaxCore i9 13900K10.368.6131.0Ryzen 9 7950X18.163.196.3Ryzen 9 7950X3D19.146.766.7Ryzen 7 5800X3D18.448.364.5Ryzen 9 5950X25.669.092.7OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.020, N = 6SE +/- 0.012, N = 6SE +/- 0.018, N = 6SE +/- 0.003, N = 5SE +/- 0.004, N = 66.5806.6696.8728.5628.216
MinAvgMaxCore i9 13900K10.258.199.1Ryzen 9 7950X20.660.692.0Ryzen 9 7950X3D19.944.265.6Ryzen 7 5800X3D16.744.355.8Ryzen 9 5950X23.563.984.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.66, N = 8SE +/- 0.09, N = 7SE +/- 0.17, N = 7SE +/- 0.04, N = 4SE +/- 0.13, N = 4153.15121.62125.4554.5356.681. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.43220.86441.29661.72882.1611.2911.1831.9210.6890.527
MinAvgMaxCore i9 13900K10.2118.6268.6Ryzen 9 7950X19.3102.8184.1Ryzen 9 7950X3D17.965.3107.2Ryzen 7 5800X3D19.079.1108.3Ryzen 9 5950X26.2107.6144.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 1.05, N = 10SE +/- 0.84, N = 9SE +/- 2.21, N = 15SE +/- 4.03, N = 15SE +/- 1.07, N = 15256.61214.20202.69231.47141.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.01952.0393.05854.0785.09754.2443.3054.5314.4411.751
MinAvgMaxCore i9 13900K10.260.5145.1Ryzen 9 7950X20.464.8130.5Ryzen 9 7950X3D17.844.775.9Ryzen 7 5800X3D20.052.195.2Ryzen 9 5950X20.081.1137.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel source tree package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.09462.18923.28384.37845.473SE +/- 0.005, N = 8SE +/- 0.021, N = 8SE +/- 0.021, N = 20SE +/- 0.006, N = 7SE +/- 0.027, N = 74.1533.7323.7924.8654.585
MinAvgMaxCore i9 13900K10.129.648.8Ryzen 9 7950X18.142.465.3Ryzen 9 7950X3D19.639.261.8Ryzen 7 5800X3D16.536.546.6Ryzen 9 5950X23.747.066.0OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking The Linux Kernel 5.19CPU Power Consumption Monitor20406080100

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.31, N = 6SE +/- 0.22, N = 7SE +/- 0.17, N = 7SE +/- 0.64, N = 6SE +/- 0.21, N = 688.15123.00112.9872.2989.441. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.45470.90941.36411.81882.27350.9581.3252.0210.9280.889
MinAvgMaxCore i9 13900K10.392.0151.0Ryzen 9 7950X18.192.9160.5Ryzen 9 7950X3D20.755.985.1Ryzen 7 5800X3D22.777.9111.9Ryzen 9 5950X24.7100.6145.6OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor50100150200250

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.013, N = 7SE +/- 0.002, N = 7SE +/- 0.004, N = 7SE +/- 0.005, N = 5SE +/- 0.009, N = 64.8734.9165.26310.4976.412
MinAvgMaxCore i9 13900K10.1104.9266.1Ryzen 9 7950X16.996.7213.1Ryzen 9 7950X3D17.761.5125.3Ryzen 7 5800X3D21.976.9112.3Ryzen 9 5950X8.781.9141.8OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor70140210280350

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 7.3.0Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.010, N = 7SE +/- 0.014, N = 8SE +/- 0.037, N = 8SE +/- 0.016, N = 7SE +/- 0.010, N = 65.5734.7474.6596.2336.387
MinAvgMaxRyzen 9 7950X18.647.279.7Ryzen 9 7950X3D16.139.762.5Ryzen 7 5800X3D21.239.256.1Ryzen 9 5950X17.549.882.5OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 7.3.0CPU Power Consumption Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 1.72, N = 15SE +/- 0.84, N = 9SE +/- 1.77, N = 9SE +/- 4.98, N = 15SE +/- 0.95, N = 15254.21221.43216.38252.67144.001. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.13182.26363.39544.52725.6594.3373.5665.0305.0281.813
MinAvgMaxCore i9 13900K10.258.6139.7Ryzen 9 7950X19.662.1123.8Ryzen 9 7950X3D20.943.074.5Ryzen 7 5800X3D18.850.393.5Ryzen 9 5950X20.579.4132.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.011, N = 8SE +/- 0.018, N = 8SE +/- 0.007, N = 7SE +/- 0.014, N = 7SE +/- 0.041, N = 74.7624.5725.0906.0495.6091. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
MinAvgMaxCore i9 13900K10.127.142.9Ryzen 9 7950X18.041.862.2Ryzen 9 7950X3D20.532.741.8Ryzen 7 5800X3D23.834.842.5Ryzen 9 5950X18.044.156.5OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100CPU Power Consumption Monitor20406080100

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.054, N = 15SE +/- 0.011, N = 9SE +/- 0.015, N = 9SE +/- 0.012, N = 6SE +/- 0.018, N = 73.2643.2173.3947.6705.111
MinAvgMaxCore i9 13900K10.296.0311.2Ryzen 9 7950X20.288.5231.6Ryzen 9 7950X3D18.560.2137.6Ryzen 7 5800X3D20.081.1125.1Ryzen 9 5950X21.083.8141.2OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor80160240320400

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 1.5.0Model: Church FacadeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X11002200330044005500SE +/- 13.88, N = 7SE +/- 2.92, N = 7SE +/- 7.96, N = 8SE +/- 13.13, N = 7SE +/- 4.47, N = 7427345483642430250811. (CXX) g++ options: -O3
MinAvgMaxCore i9 13900K10.225.643.7Ryzen 9 7950X19.042.461.9Ryzen 9 7950X3D20.731.541.9Ryzen 7 5800X3D22.333.943.7Ryzen 9 5950X16.442.053.2OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor20406080100

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.049, N = 15SE +/- 0.005, N = 9SE +/- 0.012, N = 9SE +/- 0.016, N = 6SE +/- 0.010, N = 83.3133.0143.2597.2324.5851. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore i9 13900K10.298.3300.1Ryzen 9 7950X18.589.4234.1Ryzen 9 7950X3D19.259.0134.9Ryzen 7 5800X3D21.578.5122.8Ryzen 9 5950X21.777.6140.7OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor80160240320400

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.24882.49763.74644.99526.244SE +/- 0.02, N = 7SE +/- 0.01, N = 8SE +/- 0.02, N = 8SE +/- 0.01, N = 7SE +/- 0.02, N = 75.065.445.554.254.531. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.04210.08420.12630.16840.21050.1870.1330.1380.1220.107
MinAvgMaxCore i9 13900K10.127.143.0Ryzen 9 7950X15.640.961.2Ryzen 9 7950X3D18.740.158.3Ryzen 7 5800X3D18.134.945.7Ryzen 9 5950X19.742.555.8OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor20406080100

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1224364860SE +/- 0.19, N = 10SE +/- 0.33, N = 15SE +/- 0.42, N = 15SE +/- 0.06, N = 8SE +/- 0.18, N = 935.2443.7646.3855.2852.21MIN: 34.74 / MAX: 37.51MIN: 40.54 / MAX: 45.28MIN: 41.15 / MAX: 48.43MIN: 54.74 / MAX: 55.74MIN: 51.27 / MAX: 53.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxCore i9 13900K10.123.545.8Ryzen 9 7950X17.936.759.0Ryzen 9 7950X3D17.530.856.5Ryzen 7 5800X3D17.933.746.5Ryzen 9 5950X23.140.152.6OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor1632486480

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 0.49, N = 9SE +/- 0.26, N = 8SE +/- 0.16, N = 8SE +/- 0.18, N = 6SE +/- 0.17, N = 6203.22171.02174.3683.8593.791. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.63141.26281.89422.52563.1571.8001.8122.8061.0390.956
MinAvgMaxCore i9 13900K10.2112.9284.3Ryzen 9 7950X20.294.4200.5Ryzen 9 7950X3D20.962.1115.9Ryzen 7 5800X3D22.180.7120.0Ryzen 9 5950X11.698.1145.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor70140210280350

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.20982.41963.62944.83926.049SE +/- 0.024, N = 9SE +/- 0.011, N = 9SE +/- 0.031, N = 15SE +/- 0.018, N = 7SE +/- 0.038, N = 83.2433.1283.3145.3774.4411. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore i9 13900K10.255.6218.7Ryzen 9 7950X17.958.9195.8Ryzen 9 7950X3D19.644.5114.4Ryzen 7 5800X3D20.154.8122.5Ryzen 9 5950X17.561.9143.8OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor60120180240300

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 2.48, N = 15SE +/- 1.80, N = 11SE +/- 2.02, N = 15SE +/- 7.40, N = 15SE +/- 0.80, N = 8273.80243.44231.37295.26142.691. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468105.1934.2865.5466.2731.897
MinAvgMaxCore i9 13900K10.252.7128.9Ryzen 9 7950X18.456.8115.6Ryzen 9 7950X3D15.941.772.2Ryzen 7 5800X3D24.547.190.2Ryzen 9 5950X19.675.2118.5OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 1.00, N = 9SE +/- 0.73, N = 9SE +/- 0.53, N = 9SE +/- 0.40, N = 6SE +/- 0.20, N = 7229.83215.29212.95109.78120.161. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.92521.85042.77563.70084.6262.7542.7644.1121.6771.376
MinAvgMaxCore i9 13900K10.283.4241.4Ryzen 9 7950X17.777.9180.1Ryzen 9 7950X3D19.551.8102.0Ryzen 7 5800X3D18.265.5104.5Ryzen 9 5950X19.387.3144.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.72, N = 9SE +/- 0.45, N = 9SE +/- 0.50, N = 9SE +/- 0.22, N = 7SE +/- 0.33, N = 8183.44211.67193.71102.43141.041. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.78281.56562.34843.13123.9141.8312.3373.4791.2571.650
MinAvgMaxCore i9 13900K10.2100.2255.5Ryzen 9 7950X16.890.6213.7Ryzen 9 7950X3D18.255.7112.2Ryzen 7 5800X3D17.581.5131.6Ryzen 9 5950X19.285.5145.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor70140210280350

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 1.5.0Model: LionCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X8001600240032004000SE +/- 2.26, N = 8SE +/- 2.58, N = 8SE +/- 8.03, N = 8SE +/- 3.96, N = 8SE +/- 5.36, N = 7323935593143361639311. (CXX) g++ options: -O3
MinAvgMaxCore i9 13900K10.024.441.7Ryzen 9 7950X18.040.960.8Ryzen 9 7950X3D19.530.941.4Ryzen 7 5800X3D22.233.542.6Ryzen 9 5950X8.541.363.5OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor20406080100

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 0.29, N = 9SE +/- 0.21, N = 9SE +/- 0.09, N = 9SE +/- 0.06, N = 7SE +/- 0.15, N = 8164.74194.48173.0299.07137.521. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.70671.41342.12012.82683.53351.6042.1023.1411.2681.538
MinAvgMaxCore i9 13900K10.3102.7211.2Ryzen 9 7950X19.792.5189.5Ryzen 9 7950X3D20.255.195.7Ryzen 7 5800X3D18.378.1117.2Ryzen 9 5950X13.689.4145.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor60120180240300

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 1.97, N = 10SE +/- 2.29, N = 15SE +/- 1.64, N = 15SE +/- 1.00, N = 8SE +/- 1.18, N = 15257.55295.75268.71139.98208.241. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.14862.29723.44584.59445.7432.9033.5625.1051.8442.765
MinAvgMaxCore i9 13900K10.288.7249.7Ryzen 9 7950X18.183.0221.6Ryzen 9 7950X3D17.952.6117.2Ryzen 7 5800X3D24.475.9130.3Ryzen 9 5950X17.975.3144.0OpenBenchmarking.orgWatts, Fewer Is Betterx264 2022-02-22CPU Power Consumption Monitor60120180240300

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 10.55, N = 10SE +/- 9.21, N = 9SE +/- 7.49, N = 9SE +/- 19.93, N = 14SE +/- 7.19, N = 816342167229330302828
MinAvgMaxCore i9 13900K10.240.6124.9Ryzen 9 7950X18.148.7117.9Ryzen 9 7950X3D18.637.474.2Ryzen 7 5800X3D13.845.595.2Ryzen 9 5950X14.859.7132.7OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor4080120160200

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 4.2.0Test: Masskrug - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.1252.253.3754.55.625SE +/- 0.007, N = 10SE +/- 0.008, N = 9SE +/- 0.007, N = 9SE +/- 0.005, N = 7SE +/- 0.004, N = 71.9672.7132.6355.0004.859
MinAvgMaxRyzen 9 7950X19.963.3134.1Ryzen 9 7950X3D19.346.690.1Ryzen 7 5800X3D17.854.186.5Ryzen 9 5950X20.676.4124.2OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Room - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.04362.08723.13084.17445.218SE +/- 0.005, N = 10SE +/- 0.005, N = 9SE +/- 0.004, N = 9SE +/- 0.007, N = 7SE +/- 0.002, N = 71.5302.3822.3404.4804.638
MinAvgMaxRyzen 9 7950X18.558.3128.7Ryzen 9 7950X3D18.844.691.3Ryzen 7 5800X3D17.551.481.5Ryzen 9 5950X19.374.9125.2OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor4080120160200

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350SE +/- 0.89, N = 10SE +/- 1.27, N = 10SE +/- 3.12, N = 15SE +/- 5.19, N = 15SE +/- 0.40, N = 8292.27241.93232.12304.65163.151. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468105.6164.3355.5466.5432.251
MinAvgMaxCore i9 13900K10.252.0130.4Ryzen 9 7950X20.055.8115.5Ryzen 9 7950X3D19.541.973.4Ryzen 7 5800X3D22.146.690.2Ryzen 9 5950X21.772.5123.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

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 4.2.0Test: Boat - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.13942.27883.41824.55765.697SE +/- 0.014, N = 10SE +/- 0.003, N = 9SE +/- 0.004, N = 9SE +/- 0.007, N = 7SE +/- 0.006, N = 71.9402.3682.4555.0644.332
MinAvgMaxRyzen 9 7950X19.971.6199.9Ryzen 9 7950X3D18.252.6122.7Ryzen 7 5800X3D18.667.0143.6Ryzen 9 5950X17.578.8131.3OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor50100150200250

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300SE +/- 0.36, N = 10SE +/- 0.15, N = 10SE +/- 0.20, N = 10SE +/- 0.07, N = 8SE +/- 0.10, N = 9216.38260.54230.10128.80177.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.99111.98222.97333.96444.95552.3123.0604.4051.6912.165
MinAvgMaxCore i9 13900K10.293.6225.2Ryzen 9 7950X17.685.2203.5Ryzen 9 7950X3D19.552.2101.9Ryzen 7 5800X3D17.876.2123.3Ryzen 9 5950X17.882.0145.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor60120180240300

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.58111.16221.74332.32442.9055SE +/- 0.000717, N = 9SE +/- 0.001903, N = 9SE +/- 0.000928, N = 9SE +/- 0.005970, N = 9SE +/- 0.006955, N = 91.4486500.5784200.6379442.5828001.692500MIN: 1.43MIN: 0.56MIN: 0.62-lpthread - MIN: 2.45-lpthread - MIN: 1.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxCore i9 13900K10.2107.1246.7Ryzen 9 7950X18.7107.2222.8Ryzen 9 7950X3D19.461.9117.4Ryzen 7 5800X3D21.575.3143.9Ryzen 9 5950X18.072.3130.2OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor60120180240300

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: 7 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350SE +/- 0.45, N = 11SE +/- 0.34, N = 11SE +/- 0.20, N = 10SE +/- 0.12, N = 8SE +/- 0.24, N = 9342.53330.42308.28141.85222.441. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1.28632.57263.85895.14526.43153.7213.9705.7171.8253.000
MinAvgMaxCore i9 13900K10.492.1296.9Ryzen 9 7950X17.883.2229.7Ryzen 9 7950X3D17.053.9127.0Ryzen 7 5800X3D14.777.7133.9Ryzen 9 5950X15.674.1143.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor70140210280350

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: Visual Quality Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X100200300400500SE +/- 1.05, N = 15SE +/- 0.99, N = 15SE +/- 1.27, N = 11SE +/- 0.51, N = 8SE +/- 0.58, N = 9446.60391.54381.97158.48219.691. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468106.2275.5658.2382.4492.926
MinAvgMaxCore i9 13900K10.271.7271.2Ryzen 9 7950X19.570.4208.5Ryzen 9 7950X3D20.446.4113.6Ryzen 7 5800X3D21.564.7109.7Ryzen 9 5950X15.575.1146.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X70140210280350SE +/- 0.29, N = 11SE +/- 0.22, N = 11SE +/- 0.35, N = 11SE +/- 0.14, N = 9SE +/- 0.37, N = 10282.10318.75281.97171.95220.271. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2468103.5734.2816.0812.5392.949
MinAvgMaxCore i9 13900K10.279.0213.9Ryzen 9 7950X18.074.5192.5Ryzen 9 7950X3D19.146.494.8Ryzen 7 5800X3D16.167.7120.3Ryzen 9 5950X23.074.7144.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor60120180240300

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 2.53, N = 3SE +/- 3.15, N = 10SE +/- 1.20, N = 10SE +/- 0.41, N = 9SE +/- 1.93, N = 91426.551507.511408.291041.691028.121. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X71421283519.2428.0315.5912.13
MinAvgMaxRyzen 9 7950X19.778.4180.7Ryzen 9 7950X3D18.850.298.6Ryzen 7 5800X3D19.366.8120.0Ryzen 9 5950X17.884.8145.7OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor50100150200250

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 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X120240360480600SE +/- 0.92, N = 12SE +/- 0.48, N = 12SE +/- 1.09, N = 12SE +/- 0.18, N = 9SE +/- 0.25, N = 10536.29453.87455.49204.81231.901. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X36912159.0207.16110.5883.4953.114
MinAvgMaxCore i9 13900K10.259.5253.3Ryzen 9 7950X19.463.4195.5Ryzen 9 7950X3D15.343.0109.9Ryzen 7 5800X3D19.158.6108.3Ryzen 9 5950X17.874.5145.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X110220330440550SE +/- 0.99, N = 12SE +/- 0.92, N = 11SE +/- 0.61, N = 12SE +/- 0.31, N = 9SE +/- 0.13, N = 9521.50443.30447.62201.40227.831. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X36912158.7097.02210.3703.4543.074
MinAvgMaxCore i9 13900K10.259.9251.2Ryzen 9 7950X18.063.1194.3Ryzen 9 7950X3D17.043.2108.6Ryzen 7 5800X3D18.658.3106.9Ryzen 9 5950X20.774.1145.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor60120180240300

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.043, N = 12SE +/- 0.116, N = 15SE +/- 0.091, N = 11SE +/- 0.015, N = 9SE +/- 0.069, N = 1117.57616.95516.2707.31012.7681. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.07920.15840.23760.31680.3960.2690.2750.3520.1330.205
MinAvgMaxCore i9 13900K10.265.4274.8Ryzen 9 7950X17.661.7210.2Ryzen 9 7950X3D20.246.2127.4Ryzen 7 5800X3D19.055.0107.3Ryzen 9 5950X22.462.4145.5OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor70140210280350

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.10, N = 12SE +/- 0.06, N = 12SE +/- 0.10, N = 15SE +/- 0.03, N = 11SE +/- 0.06, N = 1116.3917.3817.2613.2214.011. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.19710.39420.59130.78840.98550.8760.5540.5650.4280.375
MinAvgMaxCore i9 13900K10.118.742.1Ryzen 9 7950X16.231.460.1Ryzen 9 7950X3D18.130.557.4Ryzen 7 5800X3D15.130.949.2Ryzen 9 5950X18.937.356.8OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor1632486480

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 i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X150300450600750SE +/- 0.63, N = 12SE +/- 0.63, N = 12SE +/- 0.89, N = 12SE +/- 0.71, N = 10SE +/- 0.47, N = 11677.40598.16590.32284.58365.741. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X4812162012.24910.12414.3084.9915.820
MinAvgMaxCore i9 13900K10.255.3240.2Ryzen 9 7950X20.459.1209.1Ryzen 9 7950X3D16.941.3118.5Ryzen 7 5800X3D22.557.0122.6Ryzen 9 5950X19.962.8145.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor60120180240300

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 3.52, N = 15SE +/- 6.87, N = 15SE +/- 3.86, N = 15SE +/- 2.55, N = 15SE +/- 2.17, N = 15734.09823.43789.41535.90548.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X61218243020.1119.0024.4212.8210.12
MinAvgMaxCore i9 13900K10.236.5137.5Ryzen 9 7950X18.943.3132.0Ryzen 9 7950X3D18.932.377.4Ryzen 7 5800X3D22.841.8102.7Ryzen 9 5950X23.754.3143.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 2.17, N = 13SE +/- 1.21, N = 13SE +/- 2.12, N = 13SE +/- 0.75, N = 11SE +/- 0.86, N = 12739.38780.94761.85461.59491.081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X51015202519.52817.88922.56010.7149.045
MinAvgMaxCore i9 13900K10.137.9149.8Ryzen 9 7950X17.943.7139.4Ryzen 9 7950X3D19.933.882.9Ryzen 7 5800X3D19.743.1104.4Ryzen 9 5950X21.454.3142.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor4080120160200

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X714212835SE +/- 0.12, N = 13SE +/- 0.07, N = 13SE +/- 0.08, N = 13SE +/- 0.05, N = 12SE +/- 0.06, N = 1225.4827.9028.0420.8421.981. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.34110.68221.02331.36441.70551.5160.9821.0030.7090.620
MinAvgMaxCore i9 13900K10.216.841.9Ryzen 9 7950X17.028.447.8Ryzen 9 7950X3D17.628.049.8Ryzen 7 5800X3D15.929.443.1Ryzen 9 5950X19.435.557.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor1632486480

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 4.2.0Test: Server Rack - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X0.07470.14940.22410.29880.3735SE +/- 0.006, N = 15SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.001, N = 13SE +/- 0.000, N = 130.1770.1540.1530.3320.258
MinAvgMaxRyzen 9 7950X18.131.170.4Ryzen 9 7950X3D18.427.248.6Ryzen 7 5800X3D15.632.467.3Ryzen 9 5950X18.239.981.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor20406080100

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X60120180240300Min: 5.12 / Avg: 135.05 / Max: 326.64Min: 9.26 / Avg: 134.06 / Max: 235.78Min: 9.55 / Avg: 80.83 / Max: 143.74Min: 7.99 / Avg: 93.16 / Max: 145.39Min: 2.06 / Avg: 111.33 / Max: 151.5

397 Results Shown

Timed Linux Kernel Compilation
Blender
LAMMPS Molecular Dynamics Simulator
LeelaChessZero
OpenEMS
Timed LLVM Compilation
OpenVKL
ONNX Runtime:
  Faster R-CNN R-50-FPN-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
OpenVKL
OSPRay
Timed LLVM Compilation
LeelaChessZero
OSPRay
ONNX Runtime:
  ResNet50 v1-12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
LuaRadio:
  Complex Phase
  Hilbert Transform
  FM Deemphasis Filter
  Five Back to Back FIR Filters
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
OSPRay Studio
Blender
Himeno Benchmark
ONNX Runtime:
  GPT-2 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  ArcFace ResNet-100 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  super-resolution-10 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
BRL-CAD
ONNX Runtime:
  fcn-resnet101-11 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  bertsquad-12 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
GPAW
oneDNN:
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
OSPRay Studio
High Performance Conjugate Gradient
OSPRay Studio
Blender
OSPRay
Renaissance
KTX-Software toktx
Renaissance
Gcrypt Library
Pennant
NCNN:
  CPU - mnasnet
  CPU - FastestDet
  CPU - vision_transformer
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
OSPRay Studio:
  1 - 4K - 1 - Path Tracer
  2 - 4K - 1 - Path Tracer
TNN
SVT-HEVC
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
OSPRay Studio
WireGuard + Linux Networking Stack Stress Test
Stress-NG
OSPRay Studio
Primesieve
Appleseed
ASKAP:
  tConvolve MT - Degridding
  tConvolve MT - Gridding
Radiance Benchmark
Xcompact3d Incompact3d
OSPRay Studio
Stress-NG
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
OSPRay
simdjson
OSPRay Studio:
  3 - 1080p - 32 - Path Tracer
  3 - 1080p - 1 - Path Tracer
OSPRay
GROMACS
Numenta Anomaly Benchmark
OSPRay Studio:
  2 - 1080p - 1 - Path Tracer
  1 - 1080p - 1 - Path Tracer
LuxCoreRender
OSPRay
RocksDB
Renaissance
Numpy Benchmark
Xmrig
Cpuminer-Opt
Numenta Anomaly Benchmark
Timed MrBayes Analysis
TensorFlow Lite
Stress-NG
Blender
Renaissance
libavif avifenc
Sysbench
oneDNN:
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
LZ4 Compression:
  3 - Decompression Speed
  3 - Compression Speed
AOM AV1
Zstd Compression:
  12 - Decompression Speed
  12 - Compression Speed
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
simdjson
Stress-NG
Appleseed
Tachyon
Appleseed
simdjson
Build2
Blender
IndigoBench
Xmrig
Chaos Group V-RAY
AOM AV1
Stargate Digital Audio Workstation
PyHPC Benchmarks
Timed Godot Game Engine Compilation
Renaissance
simdjson
Selenium
simdjson
GEGL
IndigoBench
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
Timed Linux Kernel Compilation
Stargate Digital Audio Workstation
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
LuxCoreRender
VP9 libvpx Encoding
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
Zstd Compression:
  3 - Decompression Speed
  3 - Compression Speed
  3, Long Mode - Decompression Speed
  3, Long Mode - Compression Speed
  8 - Decompression Speed
  8 - Compression Speed
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
LuxCoreRender
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
LuxCoreRender
TensorFlow Lite
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
RocksDB
TensorFlow Lite
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
GraphicsMagick
NAMD
RocksDB
Selenium
RocksDB
GraphicsMagick:
  Enhanced
  Noise-Gaussian
  Swirl
  Resizing
RocksDB
GraphicsMagick:
  Rotate
  HWB Color Space
RocksDB
Selenium
Renaissance
Cpuminer-Opt
Node.js V8 Web Tooling Benchmark
Cpuminer-Opt
Renaissance:
  Finagle HTTP Requests
  Savina Reactors.IO
Stress-NG
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
libavif avifenc
Stargate Digital Audio Workstation
Numenta Anomaly Benchmark
x264
RawTherapee
Stargate Digital Audio Workstation
ASTC Encoder
Radiance Benchmark
GEGL
Selenium
AOM AV1
SVT-AV1
SQLite Speedtest
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
Natron
m-queens
Stargate Digital Audio Workstation
Cpuminer-Opt
SVT-HEVC
GEGL
Selenium
Renaissance
Pennant
GEGL
Stargate Digital Audio Workstation
oneDNN
VP9 libvpx Encoding
oneDNN
DeepSpeech
LZ4 Compression:
  1 - Decompression Speed
  1 - Compression Speed
Stress-NG
Selenium
Stargate Digital Audio Workstation
WebP Image Encode
Stress-NG:
  Semaphores
  Malloc
Cpuminer-Opt:
  x25x
  LBC, LBRY Credits
Stress-NG:
  Vector Math
  Matrix Math
  Crypto
  CPU Stress
Cpuminer-Opt:
  Triple SHA-256, Onecoin
  scrypt
  Magi
  Quad SHA-256, Pyrite
Timed Mesa Compilation
Cpuminer-Opt
srsRAN
Timed FFmpeg Compilation
PyHPC Benchmarks
AOM AV1
Stargate Digital Audio Workstation
srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 256-QAM:
    UE Mb/s
    eNb Mb/s
VP9 libvpx Encoding
ACES DGEMM
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
Unpacking Firefox
Algebraic Multi-Grid Benchmark
Timed MPlayer Compilation
Dolfyn
DaCapo Benchmark
Embree
GEGL
Embree
libjpeg-turbo tjbench
Xcompact3d Incompact3d
ASTC Encoder
LuxCoreRender
srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 64-QAM:
    UE Mb/s
    eNb Mb/s
Selenium
x265
Numenta Anomaly Benchmark
7-Zip Compression:
  Decompression Rating
  Compression Rating
Renaissance
AOM AV1:
  Speed 6 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 4K
ASKAP:
  tConvolve OpenMP - Degridding
  tConvolve OpenMP - Gridding
AOM AV1:
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 4K
Kvazaar
GEGL
PyHPC Benchmarks
oneDNN
rav1e
Numenta Anomaly Benchmark
PHPBench
QuantLib
RocksDB
GEGL
Liquid-DSP:
  32 - 256 - 57
  8 - 256 - 57
  16 - 256 - 57
AOM AV1
SVT-VP9
Node.js Express HTTP Load Test
VP9 libvpx Encoding
ASTC Encoder
Kvazaar
TNN
PyHPC Benchmarks
oneDNN
RNNoise
AOM AV1
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 256-QAM:
    UE Mb/s
    eNb Mb/s
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM:
    UE Mb/s
    eNb Mb/s
GIMP
SVT-AV1
KTX-Software toktx
Crafty
rav1e
TNN
PyBench
WebP Image Encode
SVT-AV1
Kvazaar
dav1d
Selenium
GIMP
ASKAP
GIMP
SVT-AV1
Primesieve
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 64-QAM:
    UE Mb/s
    eNb Mb/s
KTX-Software toktx
GIMP
rav1e
Kvazaar
LULESH
dav1d
Kvazaar
SVT-HEVC
N-Queens
SVT-VP9
dav1d
ASTC Encoder
rav1e
libavif avifenc
GEGL:
  Scale
  Crop
SVT-VP9
AOM AV1
Unpacking The Linux Kernel
x265
KTX-Software toktx
GNU Octave Benchmark
AOM AV1
LAME MP3 Encoding
Numenta Anomaly Benchmark
Google Draco
libavif avifenc
WebP Image Encode
TNN
SVT-HEVC
libavif avifenc
AOM AV1
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 1080p
Google Draco
Kvazaar
x264
DaCapo Benchmark
Darktable:
  Masskrug - CPU-only
  Server Room - CPU-only
AOM AV1
Darktable
Kvazaar
oneDNN
SVT-HEVC
SVT-VP9
Kvazaar
dav1d
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
LAMMPS Molecular Dynamics Simulator
WebP Image Encode
SVT-HEVC
SVT-AV1:
  Preset 13 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
WebP Image Encode
Darktable
CPU Power Consumption Monitor

Core i9 13900K

Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e - Thermald 2.5.2
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 13 February 2023 21:12 by user phoronix.

Ryzen 9 7950X

Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 15 February 2023 13:02 by user phoronix.

Ryzen 9 7950X3D

Processor: AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9922 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 16 February 2023 19:12 by user phoronix.

Ryzen 7 5800X3D

Processor: AMD Ryzen 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4402 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120a
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 22 February 2023 21:12 by user phoronix.

Ryzen 9 5950X

Processor: AMD Ryzen 9 5950X 16-Core @ 5.08GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (4402 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc8daily20230213-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server 1.21.1.6, OpenGL: 4.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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-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-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 -v
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025
Java Notes: OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 24 February 2023 16:43 by user phoronix.