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 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

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).

AMD Ryzen 9 7950X3D Linux Review BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3DIntel 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 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (4402 BIOS)AMD Starship/MatisseAMD Device ab30ASUS MG28URealtek RTL8125 2.5GbE + Intel I211AMD Ryzen 9 5950X 16-Core @ 5.08GHz (16 Cores / 32 Threads)AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d8Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (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 7 5800X3D: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120a- Ryzen 9 5950X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025- 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: 0xa601203Java 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 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 - 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

Core i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3DResult 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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3DPer 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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D548.476596.2116.510180469.42295.10034816.920559.2346199229.109266.68110479.706273.03480329.4801096.9254.0719.21969.5281.69309.08307.59195074185.2610395.5179305.54691180.189107.5249.3001610.722593.2593458667335.1492.9837448.250020.7272191.1691111.501125.151670329.93609164172155.359.744087465.9112.2916918.7137.175138.71492.403.17117.338.368.5514.569.454.155.4619.486.611.083.672.522.172.487.91502651161434.8375.722122.311.5597993.03733506.3441231130.840167.4581494149.472814.43344.61451.81300904054887.622207.020.65.098798.074831015254.933631.15890.884130512833.426.8731638598561692.2796.359293.93012.2847.186122.6611349.9027224.2477.13444.870.266108215.792180.932140.9513077.385.130.412580.8255.9158.7635126.4619676.944310974.1297.8450653.092384.7868695.2855.47752.9411.60215096.72768112.392.3722311.48750.9161863.81.93375.4067.9354.5554.0072240.873.512259.513.4947.3462.6608721417.265.616.9510.66434.9918.322362.83574.62399.01329.22595.2759.52577.0718.43.85130.5961.204.2021377.111.59689.37436771880.158.36955.9156.87562.2323.49340.0717.151865.091.8117587.931.6619215.543730.6239113744392261849537562609110020453035216167716681767174626.261007.41730725.92185931941.23623.3407.2213453.782.9634.2723.69733815.37366.9833.0754.0260291.5373112.36335.40611375123.324.89331.69918.7519.166.231.9045.2350145233.7222.4830.822436665.927.2030829.8055.4244420.78355621.180.65772544.8125413858.212902.157123.55184.135.0774120.933517761.8233684130.531115.6953313119388.16103299.3844383.1651978.29442800330.681174.6919998722.53015968719883333321.9411.05327.705.642015205.1703.922.638.41752928.771430.174610.96541511920016.01310.314157137.249819.80233.5433314.27513011.637070916.360316.77185.2636.6341.934.3816.947145157182721384.5120.38127.037637.144933.621.20126.1475.9717.6790.1780.9658241.1597.44816398515310.6148654917.31917157000008253733331286633333101.82117.331763646.56339.529343.40153.4370.3295.8706211.65970.26246.9692.9109.5228.211.861220.28912.831145080574.572123.2013882.3512.96855.03698.9815.3412.662628.96110.10566.81211.327229.3618.98.3239.4696.94972.3511725.463429.2175.22103.676.136145.06976.80125.146715.9915.6345.3946.580153.15256.614.15388.154.8735.573254.214.7623.26442733.3135.0635.236203.223.243273.80229.834183.4363239164.74257.5516341.9671.530292.271.940216.381.44865342.53446.60282.101426.55536.29521.5017.57616.39677.40734.091739.38025.480.1771389.6701347.107.341109245.88666.08215624.216441.500791115.156646.22412753.465475.19721193.040801.5119.3442.31823.0436678432.435021.8400227.18723139.34331.192732.058010.3543899.7613166730598.4531.6803760.064416.6494308.4631381.461383.293738574.57145369290370.893.506837206.1290.7547444.7182.35466.068461.982.31148.935.738.6012.4512.844.395.7932.775.050.743.351.961.832.077.1511374115342593.4722.381508.710.813467135.59328761.7897668223.963316.434011588.41933.623460.151129.9010119681024.381575.419.01.780015.2311323133821.675111.231183.073288828671.572.6965822582142157.3620.367748.02598.4982.21785.2981822.8712402.40168.81600.9152.14444673.832704.052703.1612626.065.020.221778.4155.3275.4108336.6338584.551752396.44181.258724139.6611205.5505733.62123.473136.164.9058405.7121837.731.5642441.693120.1022413.41.25267.8005.4974.1352.3482242.091.772289.641.74110.8661.6475891404.322.833.248.67684.925.831570.12160.71622.51292.81697.7576.11732.6600.21.70138.3928.872.0238402.98.94446.96215993375.089.66413.7914.46276.5314.66272.7514.11566.780.928671.530.859344.301181.8567910331252613549903222301535108018795739981244533662809.051163.61872017.319389.622862.53916.0129.8112734.262.4171.6972.34209223.34732.4454.3772.4369010.7013142.2445.2697630314.232.91645.8219.269.483.361.3113.2604852127.939.4942.0302801531.442.8538137.2093.2623750.82543516.810.60833944.2994512991.711683.202763.44268.493.1621330.671730567.007668646.59432.772716759200.3143765.1616797.6624536.08188507161.11448.978369049.3168479315773333350.2210.83417.723.359397173.1516.721.774.69330614.546113.765913.04923413610036.43814.249177516.029829.05016.4797254.46570127.84254336.73239.04163.1472.2466.516.1133.2617389784039482.989.0696.558500.66022.710.6397.1739.0724.8580.1461.799600.75214.7338914453482.8139093823.38362875000055392333362792666772.9445.77695837.27157.962823.68246.6950.38011.780816.13744.73182.7515.475.6154.114.434118.02513.333109149083.330225.9686701.709.31729.42697.2223.2813.090480.77512.88136.42617.968174.6470.713.29412.4555.11447.705579.1274253.0749.4745.5313.66451.33767.3654.749312.46110.9697.8358.56254.53231.474.86572.2910.4976.233252.676.0497.67043027.2324.2555.28183.855.377295.26109.781102.429361699.07139.9830305.0004.480304.655.064128.802.58280141.85158.48171.951041.69204.81201.407.31013.22284.58535.900461.58820.840.332829.575754.3512.45272646.56448.53322924.945840.1261143168.034418.0727916.318973.81481262.795846.8127.6473.71627.9126.29137.63141.29239745245.985156.1854598.18075122.53135.619728.42079.57196104.470274391558.8351.8479063.688215.8440302.7582323.832257.092056324.25250203452204.896.416329690.6158.20511189.2173.49580.747933.844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.3067.63442.773.516106975.311269.381276.3418595.573.600.412449.1300.1123.7636522.3550738.414756204.0197.18850459.101385.5070145.9255.54152.3011.85619571.53114313.233.3073630.97649.3981868.31.83326.7109.2562.1035.4151077.917.381094.087.2846.9323.645344589.9913.527.8910.07306.3726.072203.84032.22250.81336.82429.41064.22421.51010.44.7959.23134.945.0417769.24.801663.96396181639.074.681708.215.991335.757.941007.386.112615.510.3940665.290.6723609.262610.8148413947812485943516488616114721773296863103616881471205207.281101.55837520.37197372072.73513.7370.7118556.172.4235.9415.19238411.50771.3835.0475.5777371.6947113.339.5809522923.755.27435.54120.6921.105.928.5207.3726114151.4922.6733.573365785.522.2996433.8667.6878870.14478620.040.57002839.4120719259.217165.727110.75226.667.2290220.833477892.6636092587.371106.99136400137986.85122854.7843702.3457970.62425283641.011099.0529157021.42226365720306666721.9490.61528.357.981779215.7608.122.1911.42866132.020736.041910.19743828880015.40411.196164839.726824.49534.3294311.90122314.514397216.051217.65204.3552.5376.334.4220.207176425189979395.5104.47104.8111883.36904.081.20106.5978.9220.0840.1060.4667301.1667.20411571094605.3144140919.7701486133333755380000147990000088.58109.041078339.63367.900045.50199.9620.2305.3536012.60267.69223.1609.5127.7191.013.181210.56210.191134086374.657189.3125732.3114.34660.14832.6819.7112.702551.28510.74870.0986.848257.2635.97.4629.4977.33579.519024.8449401.3082.18101.115.985117.57916.09129.136616.5535.4617.3276.872125.45202.693.792112.985.2634.659216.385.0903.39436423.2595.5546.377174.363.314231.37212.949193.7073143173.02268.7122932.6352.340232.122.455230.100.637944308.28381.97281.971408.29455.49447.6216.27017.26590.32789.411761.84928.040.153OpenBenchmarking.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: allmodconfigRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 0.55, N = 3SE +/- 0.20, N = 3SE +/- 0.57, N = 3SE +/- 0.58, N = 3SE +/- 0.11, N = 3525.08505.52829.581389.67548.48
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250Min: 21.02 / Avg: 125.96 / Max: 136.05Min: 18.5 / Avg: 201.5 / Max: 217.76Min: 18.3 / Avg: 141.85 / Max: 147.5Min: 22.4 / Avg: 118.09 / Max: 122.94Min: 10.34 / Avg: 212.64 / Max: 286.98

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-OnlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 0.46, N = 3SE +/- 0.52, N = 3SE +/- 0.82, N = 3SE +/- 0.68, N = 3SE +/- 0.23, N = 3488.91470.53754.351347.10596.21
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption MonitorRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250Min: 20.41 / Avg: 131.02 / Max: 136.99Min: 18.91 / Avg: 212.24 / Max: 221.16Min: 6.39 / Avg: 137.54 / Max: 145.63Min: 22.37 / Avg: 118.73 / Max: 122.64Min: 10.49 / Avg: 217.51 / Max: 301.48

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 AtomsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.044, N = 3SE +/- 0.068, N = 3SE +/- 0.132, N = 4SE +/- 0.010, N = 3SE +/- 0.171, N = 316.40717.02612.4527.34116.5101. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.0290.0580.0870.1160.1450.1290.0860.0880.0660.076
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250Min: 20.39 / Avg: 127.49 / Max: 130.83Min: 16.29 / Avg: 198.52 / Max: 209.19Min: 17.05 / Avg: 141.95 / Max: 145.19Min: 20.94 / Avg: 111.81 / Max: 114.05Min: 10.35 / Avg: 218.14 / Max: 289.14

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: EigenRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 15.17, N = 3SE +/- 10.15, N = 3SE +/- 6.80, N = 9SE +/- 6.12, N = 3SE +/- 11.84, N = 317941782726109218041. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: EigenRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K51015202519.43110.4885.2099.6478.688
MinAvgMaxRyzen 9 7950X3D16.092.3107.3Ryzen 9 7950X20.2169.9190.5Ryzen 9 5950X22.7139.4145.8Ryzen 7 5800X3D22.7113.2126.7Core i9 13900K10.4207.6276.6OpenBenchmarking.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 CouplerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1530456075SE +/- 0.24, N = 3SE +/- 0.65, N = 4SE +/- 0.27, N = 3SE +/- 0.42, N = 3SE +/- 0.54, N = 360.5261.8646.5645.8869.421. (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 CouplerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.17060.34120.51180.68240.8530.7580.4570.3590.4920.457
MinAvgMaxRyzen 9 7950X3D11.379.883.9Ryzen 9 7950X18.2135.4161.1Ryzen 9 5950X18.9129.8139.3Ryzen 7 5800X3D18.593.3122.9Core i9 13900K10.4151.9165.8OpenBenchmarking.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 MakefilesRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 2.61, N = 3SE +/- 0.94, N = 3SE +/- 4.98, N = 3SE +/- 2.88, N = 3SE +/- 3.42, N = 3282.10286.91448.53666.08295.10
MinAvgMaxRyzen 9 7950X3D19.1107.0133.7Ryzen 9 7950X19.1168.5211.1Ryzen 9 5950X26.5135.8145.8Ryzen 7 5800X3D20.8107.5120.8Core i9 13900K10.3191.9275.0OpenBenchmarking.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 ISPCRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 1.20, N = 3421408229156348MIN: 53 / MAX: 5933MIN: 55 / MAX: 5382MIN: 30 / MAX: 2942MIN: 17 / MAX: 2343MIN: 37 / MAX: 4964
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.9521.9042.8563.8084.764.2312.5211.7661.5661.733
MinAvgMaxRyzen 9 7950X3D18.099.5125.3Ryzen 9 7950X17.4161.8230.8Ryzen 9 5950X18.5129.6145.8Ryzen 7 5800X3D15.299.6129.9Core i9 13900K10.4200.8299.9OpenBenchmarking.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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.59, N = 15SE +/- 0.06, N = 3SE +/- 0.22, N = 15SE +/- 0.48, N = 15SE +/- 0.22, N = 1515.4914.1924.9524.2216.921. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1632486480SE +/- 2.46, N = 15SE +/- 0.29, N = 3SE +/- 0.35, N = 15SE +/- 0.75, N = 15SE +/- 0.77, N = 1565.8570.4740.1341.5059.231. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.59, N = 15SE +/- 0.06, N = 3SE +/- 0.22, N = 15SE +/- 0.48, N = 15SE +/- 0.22, N = 1515.4914.1924.9524.2216.921. (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 ScalarRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.88, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 319520114391199MIN: 17 / MAX: 3736MIN: 19 / MAX: 3717MIN: 14 / MAX: 2735MIN: 8 / MAX: 1908MIN: 20 / MAX: 3859
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.42050.8411.26151.6822.10251.8691.1651.1140.8930.997
MinAvgMaxRyzen 9 7950X3D20.7104.3126.9Ryzen 9 7950X18.7172.5225.9Ryzen 9 5950X24.6128.4145.8Ryzen 7 5800X3D19.7101.9130.7Core i9 13900K10.4199.5290.3OpenBenchmarking.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_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3228.88248.83168.03115.16229.11
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.51141.02281.53422.04562.5572.2731.4101.2181.0341.192
MinAvgMaxRyzen 9 7950X3D20.2100.7118.0Ryzen 9 7950X20.4176.4220.2Ryzen 9 5950X24.7137.9145.8Ryzen 7 5800X3D22.6111.4126.9Core i9 13900K10.4192.2284.9OpenBenchmarking.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: NinjaRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3252.51255.35418.07646.22266.68
MinAvgMaxRyzen 9 7950X3D20.0116.9133.1Ryzen 9 7950X19.1181.8212.3Ryzen 9 5950X28.3140.1145.7Ryzen 7 5800X3D19.1110.0119.0Core i9 13900K10.4206.0273.7OpenBenchmarking.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: BLASRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 26.59, N = 3SE +/- 18.32, N = 3SE +/- 5.61, N = 3SE +/- 17.36, N = 3SE +/- 12.81, N = 319611887791127510471. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: BLASRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K51015202522.47511.2485.59311.6595.094
MinAvgMaxRyzen 9 7950X3D20.687.3104.2Ryzen 9 7950X18.6167.8187.2Ryzen 9 5950X17.6141.4145.8Ryzen 7 5800X3D20.0109.4123.4Core i9 13900K10.4205.5293.9OpenBenchmarking.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_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.00443, N = 3SE +/- 0.00149, N = 3SE +/- 0.00390, N = 3SE +/- 0.00227, N = 3SE +/- 0.00250, N = 37.652338.063426.318973.465479.70627
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.0180.0360.0540.0720.090.0800.0500.0450.0330.052
MinAvgMaxRyzen 9 7950X3D20.895.2112.0Ryzen 9 7950X20.2160.3190.3Ryzen 9 5950X22.9139.7145.7Ryzen 7 5800X3D20.3106.3117.2Core i9 13900K10.5186.6278.9OpenBenchmarking.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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.16942.33883.50824.67765.847SE +/- 0.02285, N = 3SE +/- 0.02430, N = 15SE +/- 0.05352, N = 15SE +/- 0.08142, N = 15SE +/- 0.02151, N = 32.027252.030463.814815.197213.034801. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K110220330440550SE +/- 5.55, N = 3SE +/- 5.64, N = 15SE +/- 3.54, N = 15SE +/- 2.92, N = 15SE +/- 2.35, N = 3493.35493.33262.80193.04329.481. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.16942.33883.50824.67765.847SE +/- 0.02285, N = 3SE +/- 0.02430, N = 15SE +/- 0.05352, N = 15SE +/- 0.08142, N = 15SE +/- 0.02151, N = 32.027252.030463.814815.197213.034801. (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 PhaseRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 6.62, N = 7SE +/- 0.73, N = 3SE +/- 0.81, N = 3SE +/- 0.94, N = 3SE +/- 0.32, N = 31068.61106.1846.8801.51096.9
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterLuaRadio 0.9.1Test: Complex PhaseRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K51015202520.1515.4212.5614.6118.39
OpenBenchmarking.orgWatts, Fewer Is BetterLuaRadio 0.9.1CPU Power Consumption MonitorRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100Min: 19.15 / Avg: 53.03 / Max: 67.83Min: 18.93 / Avg: 71.75 / Max: 112.34Min: 18.27 / Avg: 67.41 / Max: 123.88Min: 19.18 / Avg: 54.87 / Max: 97.54Min: 9.99 / Avg: 59.66 / Max: 114.98

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 0.57, N = 7SE +/- 0.15, N = 3SE +/- 0.44, N = 3SE +/- 0.15, N = 3SE +/- 0.38, N = 3154.4155.7127.6119.3254.0

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K160320480640800SE +/- 4.12, N = 7SE +/- 0.85, N = 3SE +/- 2.51, N = 3SE +/- 0.86, N = 3SE +/- 0.93, N = 3516.5531.3473.7442.3719.2

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 18.74, N = 7SE +/- 31.40, N = 3SE +/- 10.92, N = 3SE +/- 8.03, N = 3SE +/- 13.89, N = 32028.52203.41627.91823.01969.5

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 CacheRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XCore i9 13900K60120180240300SE +/- 2.97, N = 3SE +/- 2.81, N = 4SE +/- 1.62, N = 3SE +/- 0.91, N = 3283.61244.01126.29281.69MIN: 13.28 / MAX: 8571.43MIN: 12.67 / MAX: 8571.43MIN: 5.9 / MAX: 8571.43MIN: 16.55 / 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 RunRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XCore i9 13900K70140210280350SE +/- 1.87, N = 3SE +/- 3.50, N = 4SE +/- 1.03, N = 3SE +/- 2.15, N = 3314.75274.02137.63309.08MIN: 19.82 / MAX: 8571.43MIN: 16.73 / MAX: 10000MIN: 6.19 / MAX: 10000MIN: 20.75 / 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 RunRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XCore i9 13900K70140210280350SE +/- 1.70, N = 3SE +/- 1.36, N = 4SE +/- 0.50, N = 3SE +/- 1.90, N = 3322.26277.21141.29307.59MIN: 19.85 / MAX: 10000MIN: 15.12 / MAX: 12000MIN: 6.32 / MAX: 8571.43MIN: 20.63 / MAX: 8571.43
OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XCore i9 13900K0.94071.88142.82213.76284.70354.1812.3671.1582.154
MinAvgMaxRyzen 9 7950X3D18.977.1134.7Ryzen 9 7950X18.7117.1219.9Ryzen 9 5950X19.5122.1145.7Core i9 13900K10.3142.8294.2OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90K180K270K360K450KSE +/- 1232.82, N = 3SE +/- 74.18, N = 3SE +/- 317.64, N = 3SE +/- 1552.60, N = 3SE +/- 434.74, N = 31513551434992397454366781950741. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D18.1112.3119.5Ryzen 9 7950X19.3198.7219.2Ryzen 9 5950X17.9133.1139.4Ryzen 7 5800X3D22.5117.2122.3Core i9 13900K10.6208.3292.1OpenBenchmarking.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-OnlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.28, N = 3SE +/- 0.40, N = 3SE +/- 0.12, N = 3167.95158.52245.98432.43185.26
MinAvgMaxRyzen 9 7950X3D20.7137.7143.7Ryzen 9 7950X18.5210.6228.7Ryzen 9 5950X21.5132.7137.5Ryzen 7 5800X3D22.2125.8130.3Core i9 13900K10.5214.4304.2OpenBenchmarking.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 SolverRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2K4K6K8K10KSE +/- 94.70, N = 12SE +/- 94.44, N = 15SE +/- 52.25, N = 15SE +/- 84.00, N = 15SE +/- 7.19, N = 34554.185116.095156.195021.8410395.521. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250115.5387.9592.65116.60240.92
MinAvgMaxRyzen 9 7950X3D17.039.441.6Ryzen 9 7950X17.958.262.3Ryzen 9 5950X16.655.762.4Ryzen 7 5800X3D17.443.147.0Core i9 13900K10.043.148.4OpenBenchmarking.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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.00600, N = 3SE +/- 0.02430, N = 3SE +/- 0.11476, N = 15SE +/- 0.08499, N = 15SE +/- 0.00305, N = 35.260416.174648.180757.187235.546911. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.22, N = 3SE +/- 0.64, N = 3SE +/- 1.68, N = 15SE +/- 1.55, N = 15SE +/- 0.10, N = 3190.03161.90122.53139.34180.191. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.00600, N = 3SE +/- 0.02430, N = 3SE +/- 0.11476, N = 15SE +/- 0.08499, N = 15SE +/- 0.00305, N = 35.260416.174648.180757.187235.546911. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.15, N = 3SE +/- 0.72, N = 15SE +/- 1.04, N = 15SE +/- 0.03, N = 3SE +/- 0.05, N = 321.8225.4735.6231.19107.521. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1020304050SE +/- 0.32106, N = 3SE +/- 1.24791, N = 15SE +/- 0.85477, N = 15SE +/- 0.02848, N = 3SE +/- 0.00412, N = 345.8342039.7595028.4207032.058009.300161. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.15, N = 3SE +/- 0.72, N = 15SE +/- 1.04, N = 15SE +/- 0.03, N = 3SE +/- 0.05, N = 321.8225.4735.6231.19107.521. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.00590, N = 3SE +/- 0.14482, N = 15SE +/- 0.04597, N = 3SE +/- 0.53809, N = 15SE +/- 0.00201, N = 34.711794.609719.5719610.3543810.722501. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.27, N = 3SE +/- 5.71, N = 15SE +/- 0.50, N = 3SE +/- 4.42, N = 15SE +/- 0.02, N = 3212.22219.43104.4799.7693.261. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.00590, N = 3SE +/- 0.14482, N = 15SE +/- 0.04597, N = 3SE +/- 0.53809, N = 15SE +/- 0.00201, N = 34.711794.609719.5719610.3543810.722501. (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 MetricRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100K200K300K400K500K3940944306382743911667304586671. (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 MetricRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70014002100280035003080.312071.502045.011398.592101.86
MinAvgMaxRyzen 9 7950X3D20.8127.9136.8Ryzen 9 7950X20.3207.9227.8Ryzen 9 5950X21.8134.2139.5Ryzen 7 5800X3D18.5119.2130.2Core i9 13900K10.1218.2300.4OpenBenchmarking.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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K130260390520650SE +/- 0.29, N = 3SE +/- 0.45, N = 3SE +/- 27.51, N = 15SE +/- 14.25, N = 12SE +/- 0.41, N = 3276.86274.42558.84598.45335.151. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.81991.63982.45973.27964.0995SE +/- 0.00385, N = 3SE +/- 0.00601, N = 3SE +/- 0.08488, N = 15SE +/- 0.03603, N = 12SE +/- 0.00365, N = 33.611933.644001.847901.680372.983741. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K130260390520650SE +/- 0.29, N = 3SE +/- 0.45, N = 3SE +/- 27.51, N = 15SE +/- 14.25, N = 12SE +/- 0.41, N = 3276.86274.42558.84598.45335.151. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1428425670SE +/- 0.10, N = 3SE +/- 1.83, N = 12SE +/- 1.70, N = 15SE +/- 0.34, N = 3SE +/- 0.37, N = 349.2956.3163.6960.0648.251. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K510152025SE +/- 0.04, N = 3SE +/- 0.60, N = 12SE +/- 0.38, N = 15SE +/- 0.09, N = 3SE +/- 0.16, N = 320.2917.9715.8416.6520.731. (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: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1428425670SE +/- 0.10, N = 3SE +/- 1.83, N = 12SE +/- 1.70, N = 15SE +/- 0.34, N = 3SE +/- 0.37, N = 349.2956.3163.6960.0648.251. (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 NanotubeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350SE +/- 0.37, N = 3SE +/- 0.36, N = 3SE +/- 0.58, N = 3SE +/- 0.29, N = 3SE +/- 0.75, N = 3126.80138.40302.76308.46191.171. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxRyzen 9 7950X3D20.0101.8133.6Ryzen 9 7950X20.3151.2199.8Ryzen 9 5950X25.0132.3145.6Ryzen 7 5800X3D17.993.2131.2Core i9 13900K10.4213.4282.9OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 2.97, N = 3SE +/- 0.34, N = 3SE +/- 22.47, N = 15SE +/- 0.76, N = 3SE +/- 10.69, N = 15677.18570.792323.831381.461111.50MIN: 668.44MIN: 566.8-lpthread - MIN: 2134.46-lpthread - MIN: 1368.51MIN: 1016.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D21.1104.4125.7Ryzen 9 7950X19.9194.9231.6Ryzen 9 5950X4.6113.3145.5Ryzen 7 5800X3D16.9125.5142.1Core i9 13900K10.5217.6291.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 5.12, N = 3SE +/- 2.61, N = 3SE +/- 32.81, N = 15SE +/- 1.30, N = 3SE +/- 9.18, N = 15682.16578.142257.091383.291125.15MIN: 668.42MIN: 568.99-lpthread - MIN: 2024.07-lpthread - MIN: 1369.05MIN: 1014.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D20.8104.4125.4Ryzen 9 7950X19.8194.3229.1Ryzen 9 5950X9.5114.1145.6Ryzen 7 5800X3D16.0124.6141.2Core i9 13900K10.4217.2292.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor70140210280350

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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K80K160K240K320K400KSE +/- 250.15, N = 3SE +/- 37.35, N = 3SE +/- 253.11, N = 3SE +/- 512.84, N = 3SE +/- 119.23, N = 31280391222202056323738571670321. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D19.2111.0118.6Ryzen 9 7950X19.6197.0223.2Ryzen 9 5950X25.5132.5139.5Ryzen 7 5800X3D20.8115.3121.5Core i9 13900K10.4206.8290.8OpenBenchmarking.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 3.1Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.00260, N = 3SE +/- 0.00551, N = 3SE +/- 0.00040, N = 3SE +/- 0.00412, N = 3SE +/- 0.02513, N = 38.338878.268334.252504.571459.936091. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.02360.04720.07080.09440.1180.1050.0740.0390.0640.051
MinAvgMaxRyzen 9 7950X3D19.979.599.8Ryzen 9 7950X19.2111.5142.5Ryzen 9 5950X21.8110.0141.8Ryzen 7 5800X3D21.971.383.9Core i9 13900K10.4193.8225.4OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K80K160K240K320K400KSE +/- 259.60, N = 3SE +/- 235.20, N = 3SE +/- 247.07, N = 3SE +/- 534.98, N = 3SE +/- 307.43, N = 31267691205762034523692901641721. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D20.5111.3119.0Ryzen 9 7950X20.3196.7221.5Ryzen 9 5950X19.2131.9139.3Ryzen 7 5800X3D20.1116.5122.8Core i9 13900K10.4205.8293.2OpenBenchmarking.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-OnlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K80160240320400SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.30, N = 3SE +/- 0.48, N = 3138.52130.12204.89370.89155.35
MinAvgMaxRyzen 9 7950X3D17.1131.3137.1Ryzen 9 7950X19.6210.7228.2Ryzen 9 5950X25.7135.4138.7Ryzen 7 5800X3D14.5116.2119.4Core i9 13900K10.3213.6299.2OpenBenchmarking.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_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.00289, N = 3SE +/- 0.03437, N = 3SE +/- 0.00967, N = 3SE +/- 0.00276, N = 3SE +/- 0.02158, N = 37.548598.042506.416323.506839.74408
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01550.0310.04650.0620.07750.0690.0440.0470.0310.046
MinAvgMaxRyzen 9 7950X3D16.9109.2113.0Ryzen 9 7950X20.4183.5191.9Ryzen 9 5950X24.4136.7140.5Ryzen 7 5800X3D18.1113.3117.1Core i9 13900K10.5213.9277.0OpenBenchmarking.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 LensRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2K4K6K8K10KSE +/- 40.26, N = 3SE +/- 61.73, N = 3SE +/- 69.78, N = 3SE +/- 39.34, N = 3SE +/- 88.59, N = 38138.77753.69690.67206.17465.9MIN: 8080.45 / MAX: 8962.17MIN: 7639.03 / MAX: 8533.02MIN: 9552.49 / MAX: 10637.03MIN: 7129.39 / MAX: 7874.76MIN: 7341.05 / MAX: 8523.11
MinAvgMaxRyzen 9 7950X3D19.458.883.5Ryzen 9 7950X17.287.0139.9Ryzen 9 5950X22.1104.1141.7Ryzen 7 5800X3D24.070.4104.9Core i9 13900K10.293.5162.6OpenBenchmarking.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 19Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 0.21, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3126.41119.18158.21290.75112.29
MinAvgMaxRyzen 9 7950X3D16.7111.8121.5Ryzen 9 7950X21.0186.9204.7Ryzen 9 5950X25.0135.0142.8Ryzen 7 5800X3D19.6109.3113.7Core i9 13900K10.1204.3270.9OpenBenchmarking.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 TreeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2K4K6K8K10KSE +/- 28.12, N = 3SE +/- 24.66, N = 3SE +/- 30.44, N = 3SE +/- 9.33, N = 3SE +/- 35.60, N = 37629.37864.811189.27444.76918.7MIN: 5687.47 / MAX: 7670.83MIN: 5963.11 / MAX: 7906.57MIN: 8671.38 / MAX: 11226.58MIN: 5592.56 / MAX: 7455.91MIN: 5248.75 / MAX: 6987.6
MinAvgMaxRyzen 9 7950X3D18.283.392.2Ryzen 9 7950X17.8125.0139.2Ryzen 9 5950X11.3129.2144.2Ryzen 7 5800X3D20.383.6109.8Core i9 13900K10.2156.7196.0OpenBenchmarking.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 1.9Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.27, N = 3SE +/- 0.19, N = 3SE +/- 0.24, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3157.57142.80173.50182.35137.181. (CC) gcc options: -O2 -fvisibility=hidden
MinAvgMaxRyzen 9 7950X3D20.138.942.1Ryzen 9 7950X19.153.857.8Ryzen 9 5950X27.352.656.4Ryzen 7 5800X3D19.539.542.1Core i9 13900K10.036.347.4OpenBenchmarking.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: sedovbigRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.26, N = 3SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.02, N = 3SE +/- 2.80, N = 1231.6935.0480.7566.07138.711. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
MinAvgMaxRyzen 9 7950X3D16.292.2106.6Ryzen 9 7950X18.0132.1157.8Ryzen 9 5950X12.8127.7134.6Ryzen 7 5800X3D18.787.993.1Core i9 13900K10.4212.8278.0OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor70140210280350

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: mnasnetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.8641.7282.5923.4564.32SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 143.453.193.841.982.40MIN: 3.37 / MAX: 3.93MIN: 3.15 / MAX: 5.17MIN: 3.77 / MAX: 4.35MIN: 1.92 / MAX: 4.62MIN: 2.12 / MAX: 4.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxRyzen 9 7950X3D20.472.193.9Ryzen 9 7950X18.9115.3158.9Ryzen 9 5950X24.9125.2145.7Ryzen 7 5800X3D21.092.7107.8Core i9 13900K10.4170.6207.0OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20220729CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.1162.2323.3484.4645.58SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 154.784.444.962.313.17MIN: 4.66 / MAX: 5.22MIN: 4.35 / MAX: 4.97MIN: 4.79 / MAX: 5.46MIN: 2.27 / MAX: 2.57MIN: 2.82 / MAX: 8.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.07, N = 3SE +/- 1.15, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.57, N = 1580.5475.85113.98148.93117.33MIN: 80.17 / MAX: 86.18MIN: 74.42 / MAX: 99.17MIN: 113.39 / MAX: 119.97MIN: 148.35 / MAX: 152.87MIN: 114.58 / MAX: 811.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 1512.2211.3912.385.738.36MIN: 11.96 / MAX: 13.32MIN: 11.2 / MAX: 12.36MIN: 12.1 / MAX: 12.97MIN: 5.66 / MAX: 8.34MIN: 7.42 / MAX: 11.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 1511.9712.0017.828.608.55MIN: 11.77 / MAX: 12.85MIN: 11.85 / MAX: 14.84MIN: 16.72 / MAX: 24.04MIN: 8.18 / MAX: 22.62MIN: 7.56 / MAX: 12.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K510152025SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.93, N = 1514.4314.1222.7012.4514.56MIN: 14.2 / MAX: 21.29MIN: 13.84 / MAX: 14.76MIN: 21.12 / MAX: 29.26MIN: 11.5 / MAX: 17.65MIN: 10.97 / MAX: 1397.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 1511.5611.7920.9812.849.45MIN: 11.37 / MAX: 16.98MIN: 11.53 / MAX: 12.86MIN: 20.28 / MAX: 22.47MIN: 12.64 / MAX: 16.1MIN: 9.09 / MAX: 81.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 154.764.717.444.394.15MIN: 4.49 / MAX: 5.41MIN: 4.62 / MAX: 5.43MIN: 7.03 / MAX: 8.19MIN: 4.29 / MAX: 7.46MIN: 3.86 / MAX: 6.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 156.877.2710.515.795.46MIN: 6.74 / MAX: 7.74MIN: 7.13 / MAX: 8.04MIN: 10.29 / MAX: 11.35MIN: 5.52 / MAX: 9.01MIN: 5.16 / MAX: 9.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1122334455SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 1524.6323.7049.6932.7719.48MIN: 24.02 / MAX: 26.03MIN: 23.53 / MAX: 24.8MIN: 48.53 / MAX: 56.48MIN: 32.35 / MAX: 36.14MIN: 17.92 / MAX: 728.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 158.668.2912.105.056.61MIN: 8.46 / MAX: 14.3MIN: 8.16 / MAX: 14.32MIN: 11.75 / MAX: 18.28MIN: 4.96 / MAX: 8.3MIN: 6.02 / MAX: 11.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.40280.80561.20841.61122.014SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 151.631.521.790.741.08MIN: 1.6 / MAX: 2MIN: 1.49 / MAX: 2.02MIN: 1.71 / MAX: 3.34MIN: 0.72 / MAX: 3.38MIN: 0.9 / MAX: 1.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 154.714.346.013.353.67MIN: 4.61 / MAX: 5.29MIN: 4.27 / MAX: 5MIN: 5.87 / MAX: 8.89MIN: 3.28 / MAX: 6.15MIN: 3.25 / MAX: 5.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.94281.88562.82843.77124.714SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 153.833.614.191.962.52MIN: 3.75 / MAX: 5.16MIN: 3.55 / MAX: 4.12MIN: 4.1 / MAX: 4.71MIN: 1.93 / MAX: 4.46MIN: 2.24 / MAX: 3.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.8731.7462.6193.4924.365SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 153.383.123.881.832.17MIN: 3.31 / MAX: 3.9MIN: 3.07 / MAX: 3.52MIN: 3.78 / MAX: 9.96MIN: 1.75 / MAX: 5.77MIN: 1.96 / MAX: 5.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.0442.0883.1324.1765.22SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 153.863.574.642.072.48MIN: 3.78 / MAX: 4.38MIN: 3.51 / MAX: 4.09MIN: 4.34 / MAX: 5.39MIN: 1.99 / MAX: 4.7MIN: 2.17 / MAX: 4.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 159.068.5413.157.157.91MIN: 8.94 / MAX: 9.49MIN: 8.35 / MAX: 52.67MIN: 12.8 / MAX: 13.7MIN: 6.96 / MAX: 10.03MIN: 6.32 / MAX: 12.551. (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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2K4K6K8K10KSE +/- 1.53, N = 3SE +/- 5.17, N = 3SE +/- 3.38, N = 3SE +/- 34.69, N = 3SE +/- 3.28, N = 33852364861901137450261. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D18.0112.8124.5Ryzen 9 7950X17.5196.7223.2Ryzen 9 5950X19.1130.1139.5Ryzen 7 5800X3D22.8112.0122.4Core i9 13900K10.4204.8287.9OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2K4K6K8K10KSE +/- 0.67, N = 3SE +/- 3.79, N = 3SE +/- 11.46, N = 3SE +/- 7.57, N = 3SE +/- 4.33, N = 34001371062811153451161. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D18.8104.7116.3Ryzen 9 7950X20.6197.2219.3Ryzen 9 5950X23.9130.4139.9Ryzen 7 5800X3D18.2112.5121.8Core i9 13900K10.4204.9290.8OpenBenchmarking.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: DenseNetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 4.05, N = 3SE +/- 1.67, N = 3SE +/- 0.47, N = 3SE +/- 2.70, N = 3SE +/- 1.41, N = 32038.091907.692378.962593.471434.84MIN: 1995.44 / MAX: 2119.35MIN: 1861.57 / MAX: 1981.86MIN: 2319.36 / MAX: 2464.77MIN: 2525.74 / MAX: 2660.46MIN: 1379.25 / MAX: 1556.791. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxRyzen 9 7950X3D20.754.257.2Ryzen 9 7950X20.482.187.3Ryzen 9 5950X12.5101.5108.5Ryzen 7 5800X3D16.462.164.7Core i9 13900K10.397.4110.9OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.806.314.102.385.721. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01060.02120.03180.04240.0530.0470.0300.0320.0200.027
MinAvgMaxRyzen 9 7950X3D19.5123.6131.2Ryzen 9 7950X19.3209.7230.7Ryzen 9 5950X17.0129.0139.8Ryzen 7 5800X3D20.2121.8130.5Core i9 13900K10.5210.8296.0OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 14.78, N = 15SE +/- 10.13, N = 3SE +/- 4.14, N = 6SE +/- 15.68, N = 3SE +/- 0.23, N = 31853.12002.11583.61508.72122.3-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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K91827364539.3032.0224.0731.1340.80
MinAvgMaxRyzen 9 7950X3D16.547.258.4Ryzen 9 7950X18.962.585.2Ryzen 9 5950X18.465.887.4Ryzen 7 5800X3D17.648.562.9Core i9 13900K10.052.079.3OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.17, N = 15SE +/- 0.03, N = 3SE +/- 0.10, N = 6SE +/- 0.03, N = 3SE +/- 0.00, N = 314.412.710.310.811.5-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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3K6K9K12K15KSE +/- 10.26, N = 3SE +/- 8.50, N = 3SE +/- 15.45, N = 3SE +/- 22.48, N = 3SE +/- 21.40, N = 34585436373341346759791. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D20.7112.7124.3Ryzen 9 7950X20.5198.0223.4Ryzen 9 5950X21.0130.3139.8Ryzen 7 5800X3D23.1107.4122.3Core i9 13900K10.5205.1292.4OpenBenchmarking.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 TestRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.21, N = 3SE +/- 1.80, N = 3SE +/- 0.90, N = 3SE +/- 0.55, N = 3SE +/- 0.24, N = 3147.67140.13158.72135.5993.04
MinAvgMaxRyzen 9 7950X3D16.274.688.6Ryzen 9 7950X18.1114.6143.3Ryzen 9 5950X25.2135.1145.7Ryzen 7 5800X3D23.282.6109.8Core i9 13900K10.2147.6218.2OpenBenchmarking.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_uringRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7K14K21K28K35KSE +/- 429.48, N = 12SE +/- 461.56, N = 12SE +/- 746.94, N = 12SE +/- 249.82, N = 15SE +/- 397.29, N = 1532093.1931689.5830771.8528761.7833506.341. (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_uringRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K150300450600750570.21474.96619.70699.51530.03
MinAvgMaxRyzen 9 7950X3D19.656.362.5Ryzen 9 7950X16.466.780.2Ryzen 9 5950X20.549.786.2Ryzen 7 5800X3D12.841.145.5Core i9 13900K10.163.274.2OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20K40K60K80K100KSE +/- 41.87, N = 3SE +/- 63.50, N = 3SE +/- 32.67, N = 3SE +/- 301.80, N = 3SE +/- 45.17, N = 331363298415064297668412311. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D18.3113.0124.4Ryzen 9 7950X19.4196.2219.5Ryzen 9 5950X17.7130.9139.6Ryzen 7 5800X3D20.7108.5121.8Core i9 13900K10.4203.2292.8OpenBenchmarking.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: 1e13Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.23, N = 383.0375.11133.29223.96130.841. (CXX) g++ options: -O3
MinAvgMaxRyzen 9 7950X3D20.7123.3130.3Ryzen 9 7950X17.4210.2226.5Ryzen 9 5950X18.8126.9134.7Ryzen 7 5800X3D21.9124.5137.5Core i9 13900K10.4211.9266.5OpenBenchmarking.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: EmilyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350145.63139.75192.36316.43167.46
MinAvgMaxRyzen 9 7950X3D20.8118.0134.3Ryzen 9 7950X19.9193.7225.1Ryzen 9 5950X19.7135.1145.5Ryzen 7 5800X3D24.6115.4123.7Core i9 13900K10.2203.9283.6OpenBenchmarking.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 - DegriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K9001800270036004500SE +/- 21.27, N = 6SE +/- 14.19, N = 3SE +/- 1.56, N = 3SE +/- 2.80, N = 3SE +/- 7.04, N = 32951.492863.751344.171588.414149.471. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K102030405044.3131.0913.7426.3035.76
MinAvgMaxRyzen 9 7950X3D18.366.688.6Ryzen 9 7950X19.492.0117.9Ryzen 9 5950X25.897.9115.0Ryzen 7 5800X3D22.060.476.4Core i9 13900K10.3116.0181.0OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 24.86, N = 6SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 1.70, N = 3SE +/- 3.81, N = 32510.852198.38784.79933.622814.431. (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: SerialRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100200300400500329.74336.99426.55460.15344.61
MinAvgMaxRyzen 9 7950X3D21.357.858.8Ryzen 9 7950X20.360.761.7Ryzen 9 5950X27.152.454.8Ryzen 7 5800X3D20.142.145.0Core i9 13900K10.244.847.2OpenBenchmarking.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 DirectionRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.69, N = 3SE +/- 0.10, N = 3SE +/- 2.10, N = 3SE +/- 0.21, N = 3SE +/- 0.36, N = 1259.1768.88157.03129.9051.811. (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
MinAvgMaxRyzen 9 7950X3D20.383.591.3Ryzen 9 7950X17.0113.8124.8Ryzen 9 5950X24.8119.3130.0Ryzen 7 5800X3D18.074.479.4Core i9 13900K10.4184.8233.9OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20K40K60K80K100KSE +/- 37.51, N = 3SE +/- 58.60, N = 3SE +/- 69.22, N = 3SE +/- 224.96, N = 3SE +/- 49.83, N = 331793294854992796810405481. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D18.7103.8116.9Ryzen 9 7950X20.0197.1224.7Ryzen 9 5950X20.1130.3139.3Ryzen 7 5800X3D17.6108.1122.5Core i9 13900K10.4202.4293.3OpenBenchmarking.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 CacheRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 2.45, N = 15SE +/- 0.89, N = 3SE +/- 1.87, N = 12SE +/- 0.71, N = 15SE +/- 1.63, N = 15182.97184.67119.9224.3887.621. (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 CacheRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.59361.18721.78082.37442.9682.6381.7341.0070.3531.086
MinAvgMaxRyzen 9 7950X3D14.169.488.4Ryzen 9 7950X19.9106.5135.9Ryzen 9 5950X20.8119.0145.7Ryzen 7 5800X3D19.669.1107.4Core i9 13900K10.280.7139.8OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 18.52, N = 15SE +/- 1.43, N = 3SE +/- 1.51, N = 3SE +/- 5.32, N = 3SE +/- 2.46, N = 31979.12107.21663.61575.42207.0-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K91827364537.7229.0922.1428.0333.50
MinAvgMaxRyzen 9 7950X3D18.652.570.5Ryzen 9 7950X18.972.4104.6Ryzen 9 5950X13.175.2108.6Ryzen 7 5800X3D17.356.281.9Core i9 13900K10.165.9116.7OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.34, N = 15SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 325.523.318.719.020.6-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_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.01003, N = 3SE +/- 0.00625, N = 3SE +/- 0.00213, N = 3SE +/- 0.00204, N = 3SE +/- 0.01006, N = 37.652828.043683.249531.780015.09879
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01580.03160.04740.06320.0790.0700.0430.0240.0160.025
MinAvgMaxRyzen 9 7950X3D17.4108.7116.9Ryzen 9 7950X20.0186.4202.5Ryzen 9 5950X18.6135.1142.3Ryzen 7 5800X3D23.8111.0117.3Core i9 13900K10.5207.6287.3OpenBenchmarking.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: TopTweetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.11, N = 15SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.979.825.545.238.071. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: TopTweetRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.04730.09460.14190.18920.23650.2100.1640.1050.1220.192
MinAvgMaxRyzen 9 7950X3D15.942.758.7Ryzen 9 7950X17.959.862.8Ryzen 9 5950X25.152.954.8Ryzen 7 5800X3D22.942.944.7Core i9 13900K10.042.046.6OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20K40K60K80K100KSE +/- 17.05, N = 3SE +/- 55.03, N = 3SE +/- 62.42, N = 3SE +/- 139.75, N = 3SE +/- 186.37, N = 3377503518963394113231483101. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D20.0106.0118.1Ryzen 9 7950X18.2193.4223.4Ryzen 9 5950X23.7120.6139.7Ryzen 7 5800X3D24.1109.6122.3Core i9 13900K10.5204.7291.0OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7001400210028003500SE +/- 0.88, N = 3SE +/- 2.08, N = 3SE +/- 1.15, N = 3SE +/- 2.19, N = 3SE +/- 1.45, N = 3115410981840338215251. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D18.1110.1123.9Ryzen 9 7950X18.8192.8222.3Ryzen 9 5950X19.2128.0139.3Ryzen 7 5800X3D21.1109.7121.5Core i9 13900K10.4199.7290.9OpenBenchmarking.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_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.00497, N = 3SE +/- 0.01237, N = 3SE +/- 0.00443, N = 3SE +/- 0.01182, N = 3SE +/- 0.00437, N = 37.478697.858943.084511.675114.93363
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01530.03060.04590.06120.07650.0680.0420.0230.0150.024
MinAvgMaxRyzen 9 7950X3D20.7109.4117.8Ryzen 9 7950X18.9186.4201.6Ryzen 9 5950X25.6134.9142.2Ryzen 7 5800X3D22.2110.8116.5Core i9 13900K10.3207.9293.1OpenBenchmarking.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_bareRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.6011.2021.8032.4043.005SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 32.6712.5951.2751.2311.1581. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00540.01080.01620.02160.0270.0240.0150.0100.0120.006
MinAvgMaxRyzen 9 7950X3D18.5109.7124.2Ryzen 9 7950X18.2174.9207.5Ryzen 9 5950X17.1129.9145.1Ryzen 7 5800X3D14.8102.8112.1Core i9 13900K10.3200.3286.9OpenBenchmarking.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 CADRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.31, N = 3SE +/- 0.24, N = 3SE +/- 0.27, N = 3SE +/- 0.36, N = 3SE +/- 1.24, N = 390.0386.32118.81183.0790.88
MinAvgMaxRyzen 9 7950X3D17.2107.1128.1Ryzen 9 7950X17.5176.3222.0Ryzen 9 5950X27.3127.7144.3Ryzen 7 5800X3D21.9108.4121.7Core i9 13900K10.3200.0302.9OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 3.18, N = 3SE +/- 1.00, N = 3SE +/- 3.18, N = 3SE +/- 1.73, N = 3SE +/- 1.20, N = 310019341571288813051. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D19.3104.2119.0Ryzen 9 7950X18.7190.5218.0Ryzen 9 5950X24.6128.3139.8Ryzen 7 5800X3D21.5110.1122.0Core i9 13900K10.4199.5290.2OpenBenchmarking.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 TracerRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 2.60, N = 3SE +/- 0.88, N = 3SE +/- 2.85, N = 3SE +/- 1.86, N = 3SE +/- 3.53, N = 39929191551286712831. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxRyzen 9 7950X3D19.6103.4118.2Ryzen 9 7950X20.1193.3222.2Ryzen 9 5950X19.4127.5139.8Ryzen 7 5800X3D19.6110.3122.3Core i9 13900K10.4199.9290.2OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.02152.0433.06454.0865.1075SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 15SE +/- 0.02, N = 34.344.542.951.573.42MIN: 1.84 / MAX: 4.94MIN: 1.97 / MAX: 5.14MIN: 1.12 / MAX: 3.44MIN: 0.43 / MAX: 1.98MIN: 1.42 / MAX: 3.89
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00790.01580.02370.03160.03950.0350.0230.0220.0140.017
MinAvgMaxRyzen 9 7950X3D20.6122.9134.0Ryzen 9 7950X20.1194.5213.9Ryzen 9 5950X24.6134.1143.9Ryzen 7 5800X3D13.4110.4125.4Core i9 13900K10.4204.6277.4OpenBenchmarking.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_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.01045, N = 3SE +/- 0.00580, N = 3SE +/- 0.00263, N = 3SE +/- 0.00214, N = 3SE +/- 0.00958, N = 38.968459.506914.944922.696586.87316
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01820.03640.05460.07280.0910.0810.0500.0370.0240.033
MinAvgMaxRyzen 9 7950X3D18.8111.1119.4Ryzen 9 7950X18.8190.2208.5Ryzen 9 5950X23.6132.5139.8Ryzen 7 5800X3D20.7111.4118.0Core i9 13900K10.5207.0286.5OpenBenchmarking.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 WritingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K900K1800K2700K3600K4500KSE +/- 11052.18, N = 3SE +/- 14122.60, N = 3SE +/- 17781.19, N = 3SE +/- 11402.66, N = 3SE +/- 112025.01, N = 15415237343728063616420225821438598561. (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 WritingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K8K16K24K32K40K35035.2322872.7126261.3319274.1918627.30
MinAvgMaxRyzen 9 7950X3D19.2118.5132.4Ryzen 9 7950X19.0191.2216.5Ryzen 9 5950X17.8137.7145.6Ryzen 7 5800X3D22.5117.2126.9Core i9 13900K10.4207.2308.3OpenBenchmarking.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 PageRankRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 15.35, N = 3SE +/- 12.71, N = 15SE +/- 28.54, N = 3SE +/- 28.17, N = 3SE +/- 16.35, N = 31561.41676.12282.42157.31692.2MIN: 1418.26 / MAX: 1752.72MIN: 1509.66 / MAX: 1844.06MIN: 2067.05 / MAX: 2379.88MIN: 1968.01 / MAX: 2242.52MIN: 1531.5 / MAX: 1756.35
MinAvgMaxRyzen 9 7950X3D20.455.370.4Ryzen 9 7950X16.478.2107.0Ryzen 9 5950X27.694.5123.9Ryzen 7 5800X3D24.462.889.3Core i9 13900K10.276.2120.4OpenBenchmarking.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 BenchmarkRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 3.93, N = 3SE +/- 2.10, N = 3SE +/- 4.57, N = 3SE +/- 1.34, N = 3SE +/- 1.05, N = 3900.69967.95635.45620.36796.35
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K51015202521.8616.6211.4314.4917.15
MinAvgMaxRyzen 9 7950X3D19.241.257.6Ryzen 9 7950X19.158.366.8Ryzen 9 5950X29.255.665.1Ryzen 7 5800X3D22.542.850.4Core i9 13900K10.246.450.0OpenBenchmarking.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: 1MRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3K6K9K12K15KSE +/- 48.40, N = 3SE +/- 23.72, N = 3SE +/- 75.93, N = 3SE +/- 5.60, N = 3SE +/- 134.00, N = 316045.712874.77634.07748.09293.91. (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: 1MRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150138.3072.6953.7960.8542.18
MinAvgMaxRyzen 9 7950X3D19.6116.0125.2Ryzen 9 7950X19.3177.1187.0Ryzen 9 5950X26.2141.9145.6Ryzen 7 5800X3D20.1127.3133.6Core i9 13900K10.3220.4232.2OpenBenchmarking.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: GarlicoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K8001600240032004000SE +/- 46.39, N = 15SE +/- 47.14, N = 15SE +/- 26.51, N = 15SE +/- 2.32, N = 3SE +/- 37.47, N = 33871.123946.462376.192598.493012.281. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K102030405042.9225.1918.0323.4415.59
MinAvgMaxRyzen 9 7950X3D16.990.2108.2Ryzen 9 7950X19.1156.7181.0Ryzen 9 5950X5.2131.8145.6Ryzen 7 5800X3D24.0110.9125.5Core i9 13900K10.4193.3263.5OpenBenchmarking.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 SkylineRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.47, N = 5SE +/- 0.57, N = 3SE +/- 0.30, N = 3SE +/- 0.40, N = 3SE +/- 0.85, N = 1546.7443.4661.1282.2247.19
MinAvgMaxRyzen 9 7950X3D18.487.5140.8Ryzen 9 7950X20.5140.5234.6Ryzen 9 5950X20.3117.9145.6Ryzen 7 5800X3D23.799.6128.1Core i9 13900K10.1147.7319.6OpenBenchmarking.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 AnalysisRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.83, N = 5SE +/- 0.90, N = 370.3665.7993.7285.30122.66-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
MinAvgMaxRyzen 9 7950X3D17.9117.7125.1Ryzen 9 7950X19.8203.8231.2Ryzen 9 5950X24.3132.2139.7Ryzen 7 5800X3D18.5113.6120.7Core i9 13900K10.1198.7290.3OpenBenchmarking.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 FloatRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 0.48, N = 3SE +/- 1.26, N = 3SE +/- 1.10, N = 3SE +/- 8.75, N = 3SE +/- 85.87, N = 121108.041060.561602.101822.871349.90
MinAvgMaxRyzen 9 7950X3D19.491.698.4Ryzen 9 7950X18.9168.9181.4Ryzen 9 5950X23.6129.9138.4Ryzen 7 5800X3D18.7127.0145.4Core i9 13900K10.0201.8306.4OpenBenchmarking.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 ActivityRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K8K16K24K32K40KSE +/- 317.27, N = 15SE +/- 238.95, N = 3SE +/- 490.12, N = 15SE +/- 129.05, N = 3SE +/- 958.61, N = 1235077.3032428.3217199.3612402.4027224.241. (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 ActivityRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350299.31168.24131.04114.72139.08
MinAvgMaxRyzen 9 7950X3D17.7117.2135.5Ryzen 9 7950X18.1192.7226.6Ryzen 9 5950X21.0131.3145.8Ryzen 7 5800X3D23.3108.1120.8Core i9 13900K10.4195.8287.2OpenBenchmarking.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-OnlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 367.6363.7597.01168.8177.13
MinAvgMaxRyzen 9 7950X3D21.1128.9141.9Ryzen 9 7950X18.6204.5231.0Ryzen 9 5950X22.2129.3135.6Ryzen 7 5800X3D24.1124.1130.5Core i9 13900K10.4207.5306.3OpenBenchmarking.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 DottyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 1.84, N = 3SE +/- 8.80, N = 14SE +/- 8.58, N = 3SE +/- 6.35, N = 5SE +/- 6.28, N = 15442.7455.3668.1600.9444.8MIN: 368.13 / MAX: 703.85MIN: 348.12 / MAX: 714.59MIN: 495.44 / MAX: 959.14MIN: 494.12 / MAX: 1094.25MIN: 328.23 / MAX: 732.37
MinAvgMaxRyzen 9 7950X3D19.649.689.4Ryzen 9 7950X18.672.0153.2Ryzen 9 5950X24.976.8145.5Ryzen 7 5800X3D21.957.1107.8Core i9 13900K10.165.1176.5OpenBenchmarking.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: 0Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.99, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.38, N = 373.5268.7299.53152.1470.271. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 9 7950X3D20.091.2126.7Ryzen 9 7950X18.8150.3235.8Ryzen 9 5950X24.3106.6145.5Ryzen 7 5800X3D23.8100.6126.1Core i9 13900K10.2154.2311.3OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20K40K60K80K100KSE +/- 102.02, N = 3SE +/- 73.61, N = 3SE +/- 76.70, N = 3SE +/- 31.30, N = 3SE +/- 11.93, N = 3106975.31110272.3190608.9744673.83108215.791. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20040060080010001125.68800.30645.87563.46563.06
MinAvgMaxRyzen 9 7950X3D21.895.099.5Ryzen 9 7950X17.9137.8145.8Ryzen 9 5950X17.6140.3145.6Ryzen 7 5800X3D23.779.382.6Core i9 13900K10.5192.2202.1OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 1.18, N = 3SE +/- 1.77, N = 3SE +/- 35.49, N = 4SE +/- 0.93, N = 3SE +/- 30.96, N = 31269.381131.982904.782704.052180.93MIN: 1257.16MIN: 1125.49-lpthread - MIN: 2827.42-lpthread - MIN: 2686.62MIN: 1985.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D17.5104.8123.7Ryzen 9 7950X19.8197.2227.1Ryzen 9 5950X22.5115.9137.7Ryzen 7 5800X3D19.0125.4144.8Core i9 13900K10.4213.7284.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 11.97, N = 3SE +/- 1.84, N = 3SE +/- 33.27, N = 3SE +/- 1.70, N = 3SE +/- 22.76, N = 41276.341131.142927.172703.162140.95MIN: 1242.57MIN: 1124.17-lpthread - MIN: 2866.8-lpthread - MIN: 2684.5MIN: 1983.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D18.2104.9123.8Ryzen 9 7950X16.5197.9229.3Ryzen 9 5950X25.9115.1138.1Ryzen 7 5800X3D20.4125.1145.0Core i9 13900K10.2215.5284.6OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4K8K12K16K20KSE +/- 43.21, N = 13SE +/- 43.99, N = 6SE +/- 77.47, N = 3SE +/- 47.61, N = 3SE +/- 106.04, N = 318595.518679.013212.312626.013077.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450433.55328.74241.12296.35321.91
MinAvgMaxRyzen 9 7950X3D18.142.964.2Ryzen 9 7950X18.456.868.9Ryzen 9 5950X23.354.862.9Ryzen 7 5800X3D17.542.648.7Core i9 13900K10.340.645.9OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.50, N = 13SE +/- 0.76, N = 6SE +/- 0.58, N = 3SE +/- 0.76, N = 3SE +/- 0.05, N = 373.6079.0870.3165.0285.131. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 7SE +/- 0.00, N = 30.410.450.310.220.411. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00090.00180.00270.00360.00450.0040.0030.0030.0020.002
MinAvgMaxRyzen 9 7950X3D11.496.5137.2Ryzen 9 7950X19.8156.1227.1Ryzen 9 5950X21.9111.3145.6Ryzen 7 5800X3D19.5111.9143.1Core i9 13900K10.3176.9322.9OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 25.34, N = 8SE +/- 4.43, N = 3SE +/- 14.89, N = 3SE +/- 7.09, N = 3SE +/- 0.12, N = 32449.12429.31899.51778.42580.8-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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K91827364540.6730.5923.8329.2430.72
MinAvgMaxRyzen 9 7950X3D19.660.285.1Ryzen 9 7950X19.979.4115.8Ryzen 9 5950X25.179.7116.1Ryzen 7 5800X3D21.860.886.7Core i9 13900K10.284.0137.7OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350SE +/- 2.51, N = 8SE +/- 0.98, N = 3SE +/- 0.12, N = 3SE +/- 0.35, N = 3SE +/- 1.17, N = 3300.1252.1128.2155.3255.9-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 TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K80160240320400123.76163.99367.89275.41158.761. (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
MinAvgMaxRyzen 9 7950X3D21.1104.1122.3Ryzen 9 7950X20.7145.5194.7Ryzen 9 5950X16.1128.2145.0Ryzen 7 5800X3D24.490.8108.1Core i9 13900K10.0212.4272.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K91827364522.3623.4838.3836.6326.461. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

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: PartialTweetsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 6SE +/- 0.02, N = 3SE +/- 0.01, N = 38.418.534.824.556.941. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.03710.07420.11130.14840.18550.1590.1450.0860.1070.165
MinAvgMaxRyzen 9 7950X3D20.552.859.5Ryzen 9 7950X19.558.962.5Ryzen 9 5950X24.556.159.4Ryzen 7 5800X3D19.442.544.5Core i9 13900K10.142.044.4OpenBenchmarking.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 FunctionsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.1M2.2M3.3M4.4M5.5MSE +/- 67196.26, N = 3SE +/- 43833.77, N = 15SE +/- 14386.65, N = 3SE +/- 18825.02, N = 3SE +/- 37609.63, N = 154756204.014980738.043135222.881752396.444310974.121. (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 FunctionsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K8K16K24K32K40K38763.8326564.7726179.9716068.2022211.50
MinAvgMaxRyzen 9 7950X3D21.0122.7141.7Ryzen 9 7950X9.3187.5224.0Ryzen 9 5950X24.8119.8133.0Ryzen 7 5800X3D20.2109.1126.5Core i9 13900K10.3194.1303.4OpenBenchmarking.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 TesterRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K408012016020097.1992.47114.67181.2697.85
MinAvgMaxRyzen 9 7950X3D21.1117.3122.3Ryzen 9 7950X18.4191.3203.4Ryzen 9 5950X29.7136.7140.4Ryzen 7 5800X3D24.7117.7123.9Core i9 13900K10.4213.5266.7OpenBenchmarking.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 TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.35, N = 359.1054.9079.46139.6653.091. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
MinAvgMaxRyzen 9 7950X3D20.5126.3137.0Ryzen 9 7950X20.1208.7231.0Ryzen 9 5950X17.9126.5135.1Ryzen 7 5800X3D20.2117.5128.8Core i9 13900K10.0205.4299.8OpenBenchmarking.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 MaterialRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5010015020025085.5179.21118.64205.5584.79
MinAvgMaxRyzen 9 7950X3D20.7121.5129.8Ryzen 9 7950X20.3203.0216.0Ryzen 9 5950X29.8134.3137.6Ryzen 7 5800X3D22.3119.2125.0Core i9 13900K10.4212.2271.2OpenBenchmarking.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: KostyaRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.33652.6734.00955.3466.6825SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.925.943.793.625.281. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: KostyaRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.02450.0490.07350.0980.12250.1040.1020.0710.0840.109
MinAvgMaxRyzen 9 7950X3D19.057.059.5Ryzen 9 7950X18.558.360.5Ryzen 9 5950X19.453.656.0Ryzen 7 5800X3D21.343.145.0Core i9 13900K10.148.550.8OpenBenchmarking.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 CompileRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.29, N = 3SE +/- 0.22, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.17, N = 355.5454.6283.05123.4755.48
MinAvgMaxRyzen 9 7950X3D20.8100.0131.8Ryzen 9 7950X19.6157.3209.0Ryzen 9 5950X25.6126.9145.7Ryzen 7 5800X3D20.5104.2117.9Core i9 13900K10.3175.1295.9OpenBenchmarking.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-OnlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.39, N = 352.3049.3576.62136.1652.94
MinAvgMaxRyzen 9 7950X3D18.2128.3139.4Ryzen 9 7950X20.2205.4230.0Ryzen 9 5950X22.8129.7136.8Ryzen 7 5800X3D17.9121.1126.8Core i9 13900K10.3202.9306.0OpenBenchmarking.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: SupercarRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.011, N = 3SE +/- 0.034, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 3SE +/- 0.110, N = 611.85612.3218.6004.90511.602
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.02120.04240.06360.08480.1060.0940.0610.0660.0420.057
MinAvgMaxRyzen 9 7950X3D19.3125.5135.6Ryzen 9 7950X18.5200.6219.1Ryzen 9 5950X24.8129.9139.1Ryzen 7 5800X3D17.9116.1126.5Core i9 13900K10.4204.4284.7OpenBenchmarking.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: 1MRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4K8K12K16K20KSE +/- 7.72, N = 3SE +/- 70.98, N = 3SE +/- 41.66, N = 3SE +/- 13.02, N = 3SE +/- 141.76, N = 319571.520460.213665.58405.715096.71. (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: 1MRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200160.92100.3598.4367.8972.16
MinAvgMaxRyzen 9 7950X3D17.5121.6131.0Ryzen 9 7950X20.2203.9228.0Ryzen 9 5950X15.6138.8145.6Ryzen 7 5800X3D23.7123.8128.8Core i9 13900K10.4209.2269.7OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7K14K21K28K35KSE +/- 41.67, N = 3SE +/- 52.68, N = 3SE +/- 76.59, N = 3SE +/- 121.71, N = 3SE +/- 105.58, N = 33114332654213351218327681
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300257.32171.63177.43113.95147.45
MinAvgMaxRyzen 9 7950X3D18.0121.0139.6Ryzen 9 7950X19.9190.3224.8Ryzen 9 5950X17.6120.2139.1Ryzen 7 5800X3D16.8106.9126.0Core i9 13900K10.5187.7289.1OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 313.2314.089.957.7312.391. (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 4 Two-Pass - Input: Bosphorus 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.03240.06480.09720.12960.1620.1440.0920.0820.0680.070
MinAvgMaxRyzen 9 7950X3D18.091.8111.6Ryzen 9 7950X18.3152.3185.5Ryzen 9 5950X3.0120.6137.4Ryzen 7 5800X3D22.7114.3126.8Core i9 13900K10.4176.8232.2OpenBenchmarking.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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.78721.57442.36163.14883.936SE +/- 0.015172, N = 3SE +/- 0.019558, N = 3SE +/- 0.017538, N = 3SE +/- 0.000870, N = 3SE +/- 0.002560, N = 33.3073633.4986602.5429971.5642442.3722311. (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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00770.01540.02310.03080.03850.0340.0220.0190.0160.018
MinAvgMaxRyzen 9 7950X3D17.898.4115.2Ryzen 9 7950X19.9157.5184.5Ryzen 9 5950X22.1131.2145.7Ryzen 7 5800X3D22.399.9108.2Core i9 13900K10.2131.9153.9OpenBenchmarking.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 MixingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.4120.8241.2361.6482.06SE +/- 0.001, N = 3SE +/- 0.012, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 30.9761.0791.8311.6931.487
MinAvgMaxRyzen 9 7950X3D18.342.151.5Ryzen 9 7950X19.561.166.1Ryzen 9 5950X27.057.567.3Ryzen 7 5800X3D20.343.547.6Core i9 13900K10.143.658.4OpenBenchmarking.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 CompileRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 349.4048.4475.11120.1050.92
MinAvgMaxRyzen 9 7950X3D20.0103.1127.9Ryzen 9 7950X19.9164.7210.9Ryzen 9 5950X25.2127.2145.8Ryzen 7 5800X3D24.3106.2120.3Core i9 13900K10.4176.4282.3OpenBenchmarking.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 ALSRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 3.63, N = 3SE +/- 8.73, N = 3SE +/- 16.20, N = 3SE +/- 3.11, N = 3SE +/- 11.84, N = 31868.31830.22407.42413.41863.8MIN: 1801.21 / MAX: 2007.19MIN: 1744.85 / MAX: 2498.03MIN: 2310.72 / MAX: 2858.76MIN: 2323.8 / MAX: 2498.72MIN: 1785.37 / MAX: 1996.47
MinAvgMaxRyzen 9 7950X3D17.070.879.9Ryzen 9 7950X18.8105.2124.6Ryzen 9 5950X25.5120.1136.5Ryzen 7 5800X3D17.882.499.7Core i9 13900K10.3115.0157.5OpenBenchmarking.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: LargeRandomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.43430.86861.30291.73722.1715SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.831.841.321.251.931. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: LargeRandomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00920.01840.02760.03680.0460.0330.0320.0250.0300.041
MinAvgMaxRyzen 9 7950X3D20.155.457.5Ryzen 9 7950X19.157.960.4Ryzen 9 5950X16.752.054.4Ryzen 7 5800X3D19.541.644.0Core i9 13900K10.046.759.7OpenBenchmarking.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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K80160240320400SE +/- 3.71, N = 3SE +/- 2.67, N = 3SE +/- 0.66, N = 3SE +/- 0.88, N = 3SE +/- 0.91, N = 3326.71346.78273.51267.80375.411. chrome 110.0.5481.96
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468107.1425.9234.5215.9117.663
MinAvgMaxRyzen 9 7950X3D20.745.785.3Ryzen 9 7950X17.658.5147.3Ryzen 9 5950X22.960.5140.1Ryzen 7 5800X3D24.245.394.3Core i9 13900K10.149.0162.9OpenBenchmarking.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: DistinctUserIDRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 39.2510.295.755.497.931. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.05110.10220.15330.20440.25550.2270.1730.1080.1280.188
MinAvgMaxRyzen 9 7950X3D20.240.742.6Ryzen 9 7950X19.059.662.3Ryzen 9 5950X26.153.255.2Ryzen 7 5800X3D20.043.044.7Core i9 13900K10.142.145.5OpenBenchmarking.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: CartoonRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.60, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 362.1061.5776.8774.1454.56
MinAvgMaxRyzen 9 7950X3D20.752.275.5Ryzen 9 7950X20.467.8107.0Ryzen 9 5950X18.169.4125.8Ryzen 7 5800X3D17.447.079.8Core i9 13900K10.155.3125.1OpenBenchmarking.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: BedroomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.26232.52463.78695.04926.3115SE +/- 0.012, N = 3SE +/- 0.013, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.047, N = 45.4155.6104.0772.3484.007
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00950.0190.02850.0380.04750.0420.0280.0310.0200.020
MinAvgMaxRyzen 9 7950X3D9.6127.5137.6Ryzen 9 7950X17.3201.0220.8Ryzen 9 5950X25.2130.9141.0Ryzen 7 5800X3D21.6115.4128.2Core i9 13900K10.3204.3272.7OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7001400210028003500SE +/- 3.92, N = 3SE +/- 2.36, N = 3SE +/- 7.98, N = 3SE +/- 1.18, N = 3SE +/- 5.54, N = 31077.911045.243159.122242.092240.87-fPIC -shared - MIN: 928.54 / MAX: 1280.56-fPIC -shared - MIN: 611.09 / MAX: 1300.14-fPIC -shared - MIN: 1693.84 / MAX: 3677.17-fPIC -shared - MIN: 1995.69 / MAX: 2398.11-pie -ldl - MIN: 1638.27 / MAX: 3037.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D19.3113.3127.7Ryzen 9 7950X19.7194.0213.0Ryzen 9 5950X18.8131.6144.0Ryzen 7 5800X3D23.1112.7126.7Core i9 13900K10.4198.8309.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.387.622.511.773.51-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7001400210028003500SE +/- 5.79, N = 3SE +/- 3.14, N = 3SE +/- 10.16, N = 3SE +/- 4.89, N = 3SE +/- 8.48, N = 31094.081048.213226.892289.642259.51-fPIC -shared - MIN: 592.03 / MAX: 1279.91-fPIC -shared - MIN: 623.79 / MAX: 1281.26-fPIC -shared - MIN: 1561.02 / MAX: 3819.13-fPIC -shared - MIN: 2152.44 / MAX: 2412.21-pie -ldl - MIN: 956.01 / MAX: 3055.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D12.8114.5129.1Ryzen 9 7950X18.6194.4214.7Ryzen 9 5950X21.8131.5144.7Ryzen 7 5800X3D21.6110.9128.0Core i9 13900K10.4201.9309.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.287.592.461.743.49-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: defconfigRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.32, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 346.9345.1170.05110.8747.35
MinAvgMaxRyzen 9 7950X3D20.0100.0135.9Ryzen 9 7950X19.5159.1218.9Ryzen 9 5950X17.0121.5145.8Ryzen 7 5800X3D17.0104.0118.7Core i9 13900K10.4165.9279.4OpenBenchmarking.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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.85311.70622.55933.41244.2655SE +/- 0.011695, N = 3SE +/- 0.036089, N = 3SE +/- 0.021266, N = 3SE +/- 0.001540, N = 3SE +/- 0.001019, N = 33.6453443.7915582.8134011.6475892.6608721. (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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00830.01660.02490.03320.04150.0370.0240.0210.0160.021
MinAvgMaxRyzen 9 7950X3D17.297.8113.6Ryzen 9 7950X19.6159.3192.5Ryzen 9 5950X23.3131.0145.7Ryzen 7 5800X3D22.1101.9110.1Core i9 13900K10.3125.0148.4OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 0.86, N = 3SE +/- 1.01, N = 3SE +/- 8.96, N = 3SE +/- 10.89, N = 3SE +/- 6.67, N = 3589.99550.021965.821404.321417.26-fPIC -shared - MIN: 295.96 / MAX: 626.63-fPIC -shared - MIN: 531.31 / MAX: 582.87-fPIC -shared - MIN: 1462.45 / MAX: 2340.85-fPIC -shared - MIN: 1296.81 / MAX: 1476.41-pie -ldl - MIN: 1086.31 / MAX: 1957.41. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D20.2117.3132.7Ryzen 9 7950X20.2206.4230.3Ryzen 9 5950X17.8130.4143.9Ryzen 7 5800X3D16.3113.6134.8Core i9 13900K10.4203.9310.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 313.5214.484.032.835.61-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 37.898.315.703.246.95MIN: 7.06 / MAX: 8.33MIN: 7.42 / MAX: 8.8MIN: 5.28 / MAX: 5.87MIN: 3.19 / MAX: 3.27MIN: 6.28 / MAX: 7.94
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01420.02840.04260.05680.0710.0630.0420.0440.0290.034
MinAvgMaxRyzen 9 7950X3D18.3125.1136.5Ryzen 9 7950X16.9198.0222.2Ryzen 9 5950X27.1130.2140.3Ryzen 7 5800X3D20.2109.9119.5Core i9 13900K10.4201.8292.4OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 310.0710.798.548.6710.661. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.03330.06660.09990.13320.16650.1480.0880.0660.0820.073
MinAvgMaxRyzen 9 7950X3D18.267.973.2Ryzen 9 7950X20.0123.1134.0Ryzen 9 5950X26.6130.3138.1Ryzen 7 5800X3D14.7106.1114.1Core i9 13900K10.2145.5161.8OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 0.23, N = 3SE +/- 0.34, N = 3SE +/- 0.97, N = 3SE +/- 0.98, N = 3SE +/- 1.20, N = 3306.37282.23815.12684.92434.99-fPIC -shared - MIN: 154.67 / MAX: 315.35-fPIC -shared - MIN: 268.77 / MAX: 288.18-fPIC -shared - MIN: 670.44 / MAX: 830.34-fPIC -shared - MIN: 600.38 / MAX: 700.03-pie -ldl - MIN: 264.24 / MAX: 1313.321. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D19.2117.4127.3Ryzen 9 7950X18.1205.7227.2Ryzen 9 5950X26.4122.5131.6Ryzen 7 5800X3D21.4127.4140.9Core i9 13900K10.3202.3299.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 326.0728.319.775.8318.32-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 3.89, N = 3SE +/- 1.40, N = 3SE +/- 13.92, N = 3SE +/- 2.59, N = 3SE +/- 0.35, N = 32203.82164.11721.21570.12362.8-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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K81624324033.0221.6619.0621.3328.32
MinAvgMaxRyzen 9 7950X3D18.066.791.2Ryzen 9 7950X20.499.9154.0Ryzen 9 5950X17.490.3133.0Ryzen 7 5800X3D21.373.6111.0Core i9 13900K10.183.4136.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K9001800270036004500SE +/- 12.87, N = 3SE +/- 8.42, N = 3SE +/- 8.52, N = 3SE +/- 2.27, N = 3SE +/- 3.84, N = 34032.24137.32808.32160.73574.6-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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 1.30, N = 3SE +/- 4.45, N = 3SE +/- 19.93, N = 3SE +/- 2.21, N = 3SE +/- 0.35, N = 32250.82220.81773.01622.52399.0-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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K102030405041.7530.4920.3425.1140.69
MinAvgMaxRyzen 9 7950X3D20.053.961.7Ryzen 9 7950X20.072.897.4Ryzen 9 5950X26.687.2129.4Ryzen 7 5800X3D23.664.691.8Core i9 13900K10.159.082.8OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 1.67, N = 3SE +/- 2.98, N = 3SE +/- 1.74, N = 3SE +/- 3.47, N = 3SE +/- 1.22, N = 31336.81409.31111.51292.81329.2-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 2.71, N = 3SE +/- 7.70, N = 3SE +/- 14.85, N = 3SE +/- 23.56, N = 3SE +/- 1.07, N = 32429.42358.91881.91697.72595.2-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K81624324036.1225.2920.6123.9626.38
MinAvgMaxRyzen 9 7950X3D19.267.395.1Ryzen 9 7950X18.693.3144.8Ryzen 9 5950X21.691.3137.8Ryzen 7 5800X3D12.270.8107.8Core i9 13900K10.298.4173.6OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 6.46, N = 3SE +/- 7.93, N = 3SE +/- 1.63, N = 3SE +/- 2.83, N = 3SE +/- 2.70, N = 31064.2843.6431.5576.1759.5-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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 6.35, N = 3SE +/- 7.04, N = 3SE +/- 8.94, N = 3SE +/- 21.95, N = 3SE +/- 12.55, N = 32421.52384.01910.01732.62577.0-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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K81624324036.6724.7820.1323.6226.17
MinAvgMaxRyzen 9 7950X3D12.266.095.1Ryzen 9 7950X19.396.2147.6Ryzen 9 5950X17.894.9140.8Ryzen 7 5800X3D21.673.3112.8Core i9 13900K10.198.5171.0OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 0.90, N = 3SE +/- 2.24, N = 3SE +/- 1.47, N = 3SE +/- 1.03, N = 3SE +/- 1.83, N = 31010.4848.8442.2600.2718.4-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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.13852.2773.41554.5545.6925SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.795.063.241.703.85MIN: 2.1 / MAX: 5.42MIN: 2.28 / MAX: 5.71MIN: 1.21 / MAX: 3.77MIN: 0.51 / MAX: 2.07MIN: 1.45 / MAX: 4.38
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00860.01720.02580.03440.0430.0380.0250.0250.0150.019
MinAvgMaxRyzen 9 7950X3D20.2126.0137.3Ryzen 9 7950X18.0199.0220.4Ryzen 9 5950X25.4131.5145.5Ryzen 7 5800X3D20.8111.0126.4Core i9 13900K10.4204.5287.1OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.12, N = 3SE +/- 0.36, N = 3SE +/- 1.88, N = 3SE +/- 0.37, N = 3SE +/- 0.23, N = 359.2358.16213.78138.39130.59-fPIC -shared - MIN: 43.76 / MAX: 68.8-fPIC -shared - MIN: 31.66 / MAX: 70.64-fPIC -shared - MIN: 140.01 / MAX: 251.03-fPIC -shared - MIN: 114.75 / MAX: 150.81-pie -ldl - MIN: 54.14 / MAX: 236.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D18.1109.4118.8Ryzen 9 7950X17.4191.3214.1Ryzen 9 5950X19.6129.0142.2Ryzen 7 5800X3D22.2119.7133.7Core i9 13900K10.6205.8311.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.28, N = 3SE +/- 0.87, N = 3SE +/- 0.33, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3134.94137.4337.3828.8761.20-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.19932.39863.59794.79725.9965SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 35.045.333.572.024.20MIN: 4.91 / MAX: 5.34MIN: 5.2 / MAX: 5.69MIN: 3.47 / MAX: 3.74MIN: 1.97 / MAX: 2.08MIN: 4.04 / MAX: 4.9
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.0090.0180.0270.0360.0450.0400.0260.0270.0180.020
MinAvgMaxRyzen 9 7950X3D19.3126.8138.2Ryzen 9 7950X18.7201.4223.6Ryzen 9 5950X22.5132.0141.0Ryzen 7 5800X3D21.8110.3118.4Core i9 13900K10.3205.8288.6OpenBenchmarking.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 V4Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K8K16K24K32K40KSE +/- 8.73, N = 3SE +/- 3.56, N = 3SE +/- 34.59, N = 3SE +/- 87.40, N = 3SE +/- 163.25, N = 317769.217165.530030.838402.921377.1
MinAvgMaxRyzen 9 7950X3D17.6102.9109.3Ryzen 9 7950X20.0185.2197.9Ryzen 9 5950X17.6132.1141.5Ryzen 7 5800X3D23.2126.7143.6Core i9 13900K10.4212.7313.4OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 34.804.6813.308.9411.59-fPIC -shared - MIN: 3.57 / MAX: 13.05-fPIC -shared - MIN: 3.47 / MAX: 15.64-fPIC -shared - MIN: 7.18 / MAX: 24.98-fPIC -shared - MIN: 6.65 / MAX: 16.68-pie -ldl - MIN: 6.67 / MAX: 43.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D19.3112.0121.0Ryzen 9 7950X18.0208.9226.3Ryzen 9 5950X24.3130.7140.1Ryzen 7 5800X3D20.2120.8136.9Core i9 13900K10.4209.8307.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 1.67, N = 3SE +/- 1.71, N = 3SE +/- 3.90, N = 3SE +/- 0.73, N = 3SE +/- 4.56, N = 31663.961705.71600.77446.96689.37-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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 SyncRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K9K18K27K36K45KSE +/- 80.88, N = 3SE +/- 97.08, N = 3SE +/- 61.08, N = 3SE +/- 28.02, N = 3SE +/- 85.24, N = 339618402194173221599436771. (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 SyncRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000724.09612.08810.86649.34793.44
MinAvgMaxRyzen 9 7950X3D20.254.760.2Ryzen 9 7950X19.465.771.6Ryzen 9 5950X19.051.561.9Ryzen 7 5800X3D18.333.335.9Core i9 13900K10.355.060.8OpenBenchmarking.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 QuantRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7001400210028003500SE +/- 3.97, N = 3SE +/- 12.56, N = 3SE +/- 18.44, N = 3SE +/- 4.86, N = 3SE +/- 5.95, N = 31639.071532.652077.453375.081880.15
MinAvgMaxRyzen 9 7950X3D20.0113.0123.5Ryzen 9 7950X17.2188.0203.2Ryzen 9 5950X20.3133.5142.3Ryzen 7 5800X3D17.3113.6126.1Core i9 13900K10.4205.6279.5OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.684.2911.669.668.36-fPIC -shared - MIN: 3.02 / MAX: 12.65-fPIC -shared - MIN: 2.68 / MAX: 13.51-fPIC -shared - MIN: 6.09 / MAX: 20.54-fPIC -shared - MIN: 6.14 / MAX: 16.95-pie -ldl - MIN: 4.01 / MAX: 24.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D20.8117.6125.6Ryzen 9 7950X20.2213.3235.8Ryzen 9 5950X4.9125.6133.1Ryzen 7 5800X3D18.5128.5140.3Core i9 13900K10.3205.0308.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 4.69, N = 3SE +/- 1.27, N = 3SE +/- 1.01, N = 3SE +/- 0.68, N = 3SE +/- 1.06, N = 31708.211860.49685.28413.79955.91-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1326395265SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 35.995.5218.2314.4656.87-fPIC -shared - MIN: 3.05 / MAX: 13.36-fPIC -shared - MIN: 2.9 / MAX: 12.84-fPIC -shared - MIN: 8.06 / MAX: 27.5-fPIC -shared - MIN: 9.58 / MAX: 23.62-pie -ldl - MIN: 30.87 / MAX: 106.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D17.0119.4128.3Ryzen 9 7950X18.8208.3228.1Ryzen 9 5950X23.2126.4134.2Ryzen 7 5800X3D18.4119.3136.1Core i9 13900K10.4206.3316.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 0.77, N = 3SE +/- 1.33, N = 3SE +/- 0.38, N = 3SE +/- 0.33, N = 3SE +/- 1.73, N = 31335.751447.08438.32276.53562.23-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K816243240SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 37.9410.3233.2514.6623.49-fPIC -shared - MIN: 4.31 / MAX: 18.63-fPIC -shared - MIN: 4.85 / MAX: 22.73-fPIC -shared - MIN: 11.88 / MAX: 55.77-fPIC -shared - MIN: 7.89 / MAX: 23.34-pie -ldl - MIN: 6.4 / MAX: 48.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D20.9112.5122.5Ryzen 9 7950X19.4191.3211.1Ryzen 9 5950X24.1128.3140.3Ryzen 7 5800X3D21.6120.8134.7Core i9 13900K10.5206.1267.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 3.80, N = 3SE +/- 3.73, N = 3SE +/- 0.85, N = 3SE +/- 0.33, N = 3SE +/- 0.74, N = 31007.38774.49240.30272.75340.07-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.115.5216.6514.1117.15-fPIC -shared - MIN: 3.2 / MAX: 13.25-fPIC -shared - MIN: 3.05 / MAX: 16.6-fPIC -shared - MIN: 8.33 / MAX: 24.97-fPIC -shared - MIN: 8.09 / MAX: 21.63-pie -ldl - MIN: 7.97 / MAX: 47.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D17.2115.6123.1Ryzen 9 7950X18.7213.6234.8Ryzen 9 5950X18.2124.4131.6Ryzen 7 5800X3D18.6127.2139.4Core i9 13900K10.5206.0303.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6001200180024003000SE +/- 0.54, N = 3SE +/- 1.83, N = 3SE +/- 0.94, N = 3SE +/- 0.74, N = 3SE +/- 2.15, N = 32615.512897.96960.20566.781865.09-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.40730.81461.22191.62922.0365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 30.390.351.200.921.81-fPIC -shared - MIN: 0.22 / MAX: 9.86-fPIC -shared - MIN: 0.21 / MAX: 7.08-fPIC -shared - MIN: 0.62 / MAX: 10.19-fPIC -shared - MIN: 0.53 / MAX: 9-pie -ldl - MIN: 0.71 / MAX: 17.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D20.9121.0129.3Ryzen 9 7950X18.0212.3228.6Ryzen 9 5950X25.7124.6132.2Ryzen 7 5800X3D24.0122.8138.1Core i9 13900K10.3209.4326.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K10K20K30K40K50KSE +/- 13.50, N = 3SE +/- 45.80, N = 3SE +/- 45.29, N = 3SE +/- 5.84, N = 3SE +/- 131.87, N = 340665.2945170.1813284.368671.5317587.93-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.37350.7471.12051.4941.8675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.670.611.110.851.66-fPIC -shared - MIN: 0.35 / MAX: 8.04-fPIC -shared - MIN: 0.33 / MAX: 11.01-fPIC -shared - MIN: 0.64 / MAX: 15.48-fPIC -shared - MIN: 0.51 / MAX: 8.11-pie -ldl - MIN: 0.69 / MAX: 17.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 9 7950X3D18.7113.4123.8Ryzen 9 7950X20.5215.7234.0Ryzen 9 5950X21.0124.5131.5Ryzen 7 5800X3D23.4121.9141.1Core i9 13900K10.4209.0326.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6K12K18K24K30KSE +/- 27.74, N = 3SE +/- 15.17, N = 3SE +/- 30.52, N = 3SE +/- 1.71, N = 3SE +/- 63.18, N = 323609.2626151.5514354.789344.3019215.54-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl1. (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: SharpenRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K80160240320400SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.67, N = 32612722261183731. (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: SharpenRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.5361.0721.6082.1442.682.3821.5311.6431.2541.887
MinAvgMaxRyzen 9 7950X3D20.1109.6118.6Ryzen 9 7950X19.2177.7189.4Ryzen 9 5950X26.6137.5145.9Ryzen 7 5800X3D19.694.1101.2Core i9 13900K10.2197.7259.8OpenBenchmarking.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 AtomsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.41780.83561.25341.67122.089SE +/- 0.00099, N = 3SE +/- 0.00042, N = 3SE +/- 0.00111, N = 3SE +/- 0.00120, N = 3SE +/- 0.00530, N = 30.814840.768881.093171.856790.62391
MinAvgMaxRyzen 9 7950X3D20.9123.5141.1Ryzen 9 7950X21.1201.9228.8Ryzen 9 5950X23.3131.3144.7Ryzen 7 5800X3D24.9117.5130.7Core i9 13900K10.5200.6290.0OpenBenchmarking.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 FillRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K300K600K900K1200K1500KSE +/- 2202.93, N = 3SE +/- 4473.93, N = 3SE +/- 1751.92, N = 3SE +/- 1087.26, N = 3SE +/- 10578.83, N = 3139478114558731248089103312513744391. (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 FillRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3K6K9K12K15K12776.018406.079052.6011251.066991.61
MinAvgMaxRyzen 9 7950X3D20.0109.2118.1Ryzen 9 7950X20.7173.2187.6Ryzen 9 5950X28.6137.9145.6Ryzen 7 5800X3D22.291.899.9Core i9 13900K10.3196.6223.9OpenBenchmarking.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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7001400210028003500SE +/- 26.15, N = 4SE +/- 28.20, N = 15SE +/- 0.88, N = 3SE +/- 10.37, N = 3SE +/- 19.70, N = 3248530922579261322611. chrome 110.0.5481.96
MinAvgMaxRyzen 9 7950X3D15.636.960.6Ryzen 9 7950X17.240.766.7Ryzen 9 5950X23.548.372.9Ryzen 7 5800X3D22.736.149.4Core i9 13900K10.129.755.1OpenBenchmarking.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 RandomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K200K400K600K800K1000KSE +/- 4449.32, N = 3SE +/- 1700.63, N = 3SE +/- 2086.66, N = 3SE +/- 799.66, N = 3SE +/- 2190.80, N = 39435169894727269615499038495371. (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 RandomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2K4K6K8K10K8322.475429.005277.005269.294142.09
MinAvgMaxRyzen 9 7950X3D21.0113.4123.4Ryzen 9 7950X20.4182.3195.9Ryzen 9 5950X26.4137.8146.7Ryzen 7 5800X3D13.9104.4112.8Core i9 13900K10.4205.1258.9OpenBenchmarking.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: EnhancedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K120240360480600SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 34885134192225621. (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: EnhancedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.02742.05483.08224.10965.1374.5662.8923.0402.3892.836
MinAvgMaxRyzen 9 7950X3D20.7106.9115.0Ryzen 9 7950X17.4177.4191.5Ryzen 9 5950X24.0137.8145.6Ryzen 7 5800X3D21.692.999.0Core i9 13900K10.3198.2257.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 5.04, N = 36166594903016091. (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-GaussianRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.33582.67164.00745.34326.6795.9374.0174.0172.8983.299
MinAvgMaxRyzen 9 7950X3D19.9103.8111.0Ryzen 9 7950X18.6164.1179.3Ryzen 9 5950X24.3122.0129.0Ryzen 7 5800X3D22.9103.9111.2Core i9 13900K10.4184.6226.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 2.19, N = 3SE +/- 1.00, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 4.33, N = 31147122793353511001. (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: SwirlRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K369121510.2576.6217.0264.7965.616
MinAvgMaxRyzen 9 7950X3D20.2111.8121.4Ryzen 9 7950X18.2185.3204.7Ryzen 9 5950X22.7132.8140.8Ryzen 7 5800X3D18.7111.5119.8Core i9 13900K10.4195.9256.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5001000150020002500SE +/- 29.87, N = 3SE +/- 2.73, N = 3SE +/- 1.86, N = 3SE +/- 1.86, N = 3SE +/- 7.51, N = 3217723231784108020451. (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: ResizingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K51015202522.10313.26213.0889.88810.860
MinAvgMaxRyzen 9 7950X3D18.998.5110.7Ryzen 9 7950X20.0175.2188.7Ryzen 9 5950X24.0136.3144.8Ryzen 7 5800X3D21.3109.2116.6Core i9 13900K10.5188.3237.2OpenBenchmarking.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 RandomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K700K1400K2100K2800K3500KSE +/- 10376.60, N = 3SE +/- 6732.06, N = 3SE +/- 6290.50, N = 3SE +/- 1659.74, N = 3SE +/- 14672.98, N = 3329686334262272510403187957330352161. (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 RandomRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K6K12K18K24K30K27962.7318249.7318198.1916530.8314722.15
MinAvgMaxRyzen 9 7950X3D15.7117.9126.3Ryzen 9 7950X20.1187.7201.9Ryzen 9 5950X18.0137.9145.6Ryzen 7 5800X3D21.2113.7124.5Core i9 13900K10.5206.2280.4OpenBenchmarking.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: RotateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 9.53, N = 3SE +/- 1.15, N = 3SE +/- 0.58, N = 310361004103299816771. (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: RotateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K91827364519.5617.2518.9623.5540.72
MinAvgMaxRyzen 9 7950X3D20.753.055.6Ryzen 9 7950X19.658.261.4Ryzen 9 5950X26.454.459.3Ryzen 7 5800X3D18.542.444.0Core i9 13900K10.141.243.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 4.48, N = 3SE +/- 9.33, N = 3SE +/- 2.67, N = 3SE +/- 2.03, N = 3SE +/- 5.21, N = 3168817541578124416681. (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 SpaceRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K61218243026.4318.4814.8017.2316.87
MinAvgMaxRyzen 9 7950X3D20.063.968.2Ryzen 9 7950X19.094.9103.0Ryzen 9 5950X17.7106.6113.8Ryzen 7 5800X3D23.872.277.1Core i9 13900K10.198.9108.0OpenBenchmarking.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 ReadRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K40M80M120M160M200MSE +/- 374203.74, N = 3SE +/- 438240.45, N = 3SE +/- 238323.80, N = 3SE +/- 111777.38, N = 3SE +/- 1452665.51, N = 314712052015788888795890754533662801767174621. (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 ReadRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K200K400K600K800K1000K1153836.47810752.01751660.06487433.07842291.76
MinAvgMaxRyzen 9 7950X3D18.5127.5136.6Ryzen 9 7950X19.7194.7229.8Ryzen 9 5950X24.7127.6137.3Ryzen 7 5800X3D22.8109.5122.2Core i9 13900K10.2209.8307.8OpenBenchmarking.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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.06, N = 15SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 37.286.758.729.056.261. chrome 110.0.5481.96
MinAvgMaxRyzen 9 7950X3D18.737.561.2Ryzen 9 7950X19.344.064.6Ryzen 9 5950X18.647.569.8Ryzen 7 5800X3D16.237.254.0Core i9 13900K10.031.354.4OpenBenchmarking.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 + FuturesRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 3.69, N = 3SE +/- 8.03, N = 3SE +/- 14.35, N = 3SE +/- 3.81, N = 3SE +/- 4.86, N = 31101.5957.61220.11163.61007.4MIN: 1035.84 / MAX: 1121.33MIN: 923.64 / MAX: 992.06MIN: 1185.32 / MAX: 1272.37MIN: 1141.33 / MAX: 1189.92MIN: 950.18 / MAX: 1106.93
MinAvgMaxRyzen 9 7950X3D15.356.260.9Ryzen 9 7950X18.284.795.7Ryzen 9 5950X28.399.0109.4Ryzen 7 5800X3D22.160.466.4Core i9 13900K10.468.784.2OpenBenchmarking.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-GroestlRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K13K26K39K52K65KSE +/- 440.21, N = 15SE +/- 767.09, N = 3SE +/- 35.28, N = 3SE +/- 10.00, N = 3SE +/- 100.39, N = 358375620401579318720173071. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700639.64392.23120.29171.9997.60
MinAvgMaxRyzen 9 7950X3D16.091.3103.6Ryzen 9 7950X17.5158.2179.5Ryzen 9 5950X29.4131.3145.6Ryzen 7 5800X3D23.8108.8122.4Core i9 13900K10.4177.3203.0OpenBenchmarking.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 BenchmarkRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 320.3721.0016.6517.3125.92
OpenBenchmarking.orgruns/s Per Watt, More Is BetterNode.js V8 Web Tooling BenchmarkRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.11180.22360.33540.44720.5590.4610.3370.2560.3600.497
MinAvgMaxRyzen 9 7950X3D20.544.256.0Ryzen 9 7950X19.362.370.8Ryzen 9 5950X22.565.178.1Ryzen 7 5800X3D22.848.156.9Core i9 13900K10.152.266.3OpenBenchmarking.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: DeepcoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K5K10K15K20K25KSE +/- 160.24, N = 3SE +/- 221.43, N = 14SE +/- 15.28, N = 3SE +/- 5.35, N = 3SE +/- 12.02, N = 319737.0021706.0017140.009389.6218593.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200184.13122.17137.8188.7997.59
MinAvgMaxRyzen 9 7950X3D17.6107.2121.5Ryzen 9 7950X17.5177.7201.0Ryzen 9 5950X24.8124.4139.4Ryzen 7 5800X3D21.5105.8119.3Core i9 13900K10.4190.5256.1OpenBenchmarking.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 RequestsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7001400210028003500SE +/- 19.45, N = 3SE +/- 14.73, N = 3SE +/- 20.55, N = 3SE +/- 13.60, N = 3SE +/- 12.67, N = 152072.71974.03310.12862.51941.2MIN: 1894.58 / MAX: 2126.36MIN: 1798.72 / MAX: 2008.91MIN: 2959.21 / MAX: 3374.9MIN: 2469.86 / MAX: 3065.69MIN: 1647.41 / MAX: 2335.31
MinAvgMaxRyzen 9 7950X3D20.5112.2137.3Ryzen 9 7950X17.4169.6212.7Ryzen 9 5950X7.9132.3145.8Ryzen 7 5800X3D21.596.1117.3Core i9 13900K10.3183.8269.7OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IORyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K10002000300040005000SE +/- 26.64, N = 3SE +/- 20.37, N = 3SE +/- 23.82, N = 3SE +/- 51.90, N = 3SE +/- 43.09, N = 33513.73280.64519.23916.03623.3MIN: 3464 / MAX: 5062.42MIN: 3241.47 / MAX: 4910.3MIN: 4472.65 / MAX: 6501.64MIN: 3848.37 / MAX: 6267.97MIN: 3579.77 / MAX: 5158.3
MinAvgMaxRyzen 9 7950X3D18.552.677.3Ryzen 9 7950X19.572.6118.8Ryzen 9 5950X23.680.7127.9Ryzen 7 5800X3D18.558.785.6Core i9 13900K10.264.9140.8OpenBenchmarking.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 SortingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450SE +/- 0.96, N = 3SE +/- 1.17, N = 3SE +/- 2.05, N = 13SE +/- 0.11, N = 3SE +/- 0.73, N = 3370.71389.78239.69129.81407.221. (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 SortingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.72611.45222.17832.90443.63053.2272.0851.8861.2762.121
MinAvgMaxRyzen 9 7950X3D20.6114.9129.3Ryzen 9 7950X16.0187.0215.0Ryzen 9 5950X20.1127.1145.6Ryzen 7 5800X3D19.0101.7113.9Core i9 13900K10.4192.0289.4OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4K8K12K16K20KSE +/- 83.57, N = 3SE +/- 30.70, N = 3SE +/- 33.16, N = 3SE +/- 13.38, N = 3SE +/- 79.61, N = 318556.118820.913299.012734.213453.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100200300400500447.32323.31241.50299.84330.50
MinAvgMaxRyzen 9 7950X3D19.641.549.5Ryzen 9 7950X20.758.269.8Ryzen 9 5950X23.355.163.4Ryzen 7 5800X3D24.442.548.8Core i9 13900K10.140.746.6OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.45, N = 3SE +/- 0.93, N = 3SE +/- 0.98, N = 3SE +/- 0.38, N = 3SE +/- 0.01, N = 372.4278.4869.2362.4182.961. (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: 2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1632486480SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 335.9434.8949.6571.7034.271. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 9 7950X3D19.885.3127.7Ryzen 9 7950X18.8129.5234.9Ryzen 9 5950X2.197.7144.2Ryzen 7 5800X3D24.193.7125.7Core i9 13900K10.2132.5311.1OpenBenchmarking.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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.24532.49063.73594.98126.2265SE +/- 0.005171, N = 3SE +/- 0.038218, N = 3SE +/- 0.020237, N = 3SE +/- 0.002181, N = 3SE +/- 0.002006, N = 35.1923845.5347354.0127992.3420923.6973381. (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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01190.02380.03570.04760.05950.0530.0360.0310.0230.029
MinAvgMaxRyzen 9 7950X3D21.098.8118.7Ryzen 9 7950X19.4155.3188.7Ryzen 9 5950X27.8130.5145.7Ryzen 7 5800X3D23.0100.8109.8Core i9 13900K10.3129.3162.7OpenBenchmarking.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 ChangepointRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.17, N = 12SE +/- 0.12, N = 15SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.32, N = 1511.5110.9219.0323.3515.37
MinAvgMaxRyzen 9 7950X3D18.767.3134.0Ryzen 9 7950X10.8105.3234.1Ryzen 9 5950X24.993.9145.6Ryzen 7 5800X3D20.191.7133.9Core i9 13900K10.2115.1301.6OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.72, N = 15SE +/- 0.77, N = 15SE +/- 0.40, N = 15SE +/- 0.34, N = 5SE +/- 0.67, N = 1571.3876.5452.3032.4466.981. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.1890.3780.5670.7560.9450.8400.5230.4730.3110.424
MinAvgMaxRyzen 9 7950X3D17.285.0128.5Ryzen 9 7950X17.5146.5231.9Ryzen 9 5950X7.1110.7145.4Ryzen 7 5800X3D24.3104.4131.2Core i9 13900K10.2157.9296.5OpenBenchmarking.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 TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1224364860SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 335.0535.5049.1154.3833.081. RawTherapee, version 5.9, command line.
MinAvgMaxRyzen 9 7950X3D19.663.286.3Ryzen 9 7950X20.592.9133.0Ryzen 9 5950X17.7103.1120.4Ryzen 7 5800X3D20.870.389.3Core i9 13900K10.3101.8151.9OpenBenchmarking.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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.34072.68144.02215.36286.7035SE +/- 0.059317, N = 3SE +/- 0.032748, N = 3SE +/- 0.009453, N = 3SE +/- 0.002628, N = 3SE +/- 0.001006, N = 35.5777375.9586054.2996212.4369014.0260291. (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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01330.02660.03990.05320.06650.0590.0370.0340.0240.032
MinAvgMaxRyzen 9 7950X3D19.194.1112.8Ryzen 9 7950X20.1160.9196.4Ryzen 9 5950X16.7127.6145.7Ryzen 7 5800X3D22.7101.6110.6Core i9 13900K10.3126.7151.3OpenBenchmarking.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: ExhaustiveRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.41690.83381.25071.66762.0845SE +/- 0.0017, N = 3SE +/- 0.0009, N = 3SE +/- 0.0035, N = 3SE +/- 0.0006, N = 3SE +/- 0.0006, N = 31.69471.85311.26020.70131.53731. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00340.00680.01020.01360.0170.0150.0100.0100.0060.008
MinAvgMaxRyzen 9 7950X3D20.4111.3130.6Ryzen 9 7950X20.2187.9233.0Ryzen 9 5950X16.0120.6136.6Ryzen 7 5800X3D18.7117.1128.1Core i9 13900K10.3183.8288.8OpenBenchmarking.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 ParallelRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150113.30104.70137.71142.24112.36
MinAvgMaxRyzen 9 7950X3D21.355.658.5Ryzen 9 7950X19.280.487.3Ryzen 9 5950X20.088.497.6Ryzen 7 5800X3D19.667.973.9Core i9 13900K10.287.397.9OpenBenchmarking.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 BlurRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1020304050SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 339.5838.1944.5045.2735.41
MinAvgMaxRyzen 9 7950X3D19.647.563.2Ryzen 9 7950X19.562.588.6Ryzen 9 5950X23.861.5100.7Ryzen 7 5800X3D24.544.159.7Core i9 13900K10.249.793.0OpenBenchmarking.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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20K40K60K80K100KSE +/- 1243.88, N = 3SE +/- 297.12, N = 3SE +/- 462.76, N = 3SE +/- 212.34, N = 3SE +/- 235.00, N = 3952299996078329763031137511. chrome 110.0.5481.96
OpenBenchmarking.orgGeometric Mean Per Watt, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70014002100280035002334.212058.771514.471977.683083.04
MinAvgMaxRyzen 9 7950X3D17.540.862.5Ryzen 9 7950X19.448.668.1Ryzen 9 5950X26.051.778.5Ryzen 7 5800X3D21.138.654.3Core i9 13900K10.136.962.2OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 323.7525.1817.3914.2323.321. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.06210.12420.18630.24840.31050.2760.1780.1600.1290.140
MinAvgMaxRyzen 9 7950X3D19.886.1100.2Ryzen 9 7950X18.1141.7175.5Ryzen 9 5950X25.9109.0130.2Ryzen 7 5800X3D14.9110.1124.9Core i9 13900K10.4166.5212.3OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.29292.58583.87875.17166.4645SE +/- 0.010, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.035, N = 35.2745.7463.8582.9164.8931. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01420.02840.04260.05680.0710.0630.0390.0330.0260.030
MinAvgMaxRyzen 9 7950X3D19.283.9125.8Ryzen 9 7950X21.6148.0228.0Ryzen 9 5950X21.7116.7144.8Ryzen 7 5800X3D15.5112.2136.4Core i9 13900K10.2163.4286.1OpenBenchmarking.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 1,000Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1020304050SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 335.5434.7344.2245.8231.701. (CC) gcc options: -O2 -lz
MinAvgMaxRyzen 9 7950X3D17.242.258.5Ryzen 9 7950X20.157.564.2Ryzen 9 5950X20.854.860.0Ryzen 7 5800X3D22.141.344.3Core i9 13900K10.240.646.3OpenBenchmarking.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: SlowRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 320.6922.9515.369.2618.751. (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: SlowRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.04520.09040.13560.18080.2260.2010.1230.1210.0800.095
MinAvgMaxRyzen 9 7950X3D20.2102.7121.3Ryzen 9 7950X19.7186.0218.5Ryzen 9 5950X22.9127.1139.6Ryzen 7 5800X3D22.8115.6126.7Core i9 13900K10.3197.6272.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 321.1023.4315.679.4819.161. (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: MediumRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.04570.09140.13710.18280.22850.2030.1290.1240.0830.099
MinAvgMaxRyzen 9 7950X3D20.3103.9122.1Ryzen 9 7950X16.6181.5217.2Ryzen 9 5950X17.7126.3138.7Ryzen 7 5800X3D20.2114.8127.6Core i9 13900K10.4194.0269.2OpenBenchmarking.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: SpaceshipRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.04, N = 15SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 35.96.13.63.36.2
OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01620.03240.04860.06480.0810.0720.0470.0290.0350.042
MinAvgMaxRyzen 9 7950X3D17.081.4128.6Ryzen 9 7950X18.0130.3211.5Ryzen 9 5950X29.3123.6145.9Ryzen 7 5800X3D18.094.7121.4Core i9 13900K10.5147.1258.1OpenBenchmarking.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 SolveRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1428425670SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 328.5227.0532.8361.3131.901. (CXX) g++ options: -fopenmp -O2 -march=native
MinAvgMaxRyzen 9 7950X3D19.8115.3134.0Ryzen 9 7950X16.6180.9210.5Ryzen 9 5950X22.1128.0141.3Ryzen 7 5800X3D22.4108.2115.8Core i9 13900K10.4195.6256.0OpenBenchmarking.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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.032785, N = 3SE +/- 0.074524, N = 7SE +/- 0.043283, N = 3SE +/- 0.002227, N = 3SE +/- 0.001419, N = 37.3726117.8969075.7265693.2604855.2350141. (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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.0180.0360.0540.0720.090.0800.0510.0450.0330.042
MinAvgMaxRyzen 9 7950X3D20.792.2113.2Ryzen 9 7950X17.6155.4196.5Ryzen 9 5950X22.3126.0145.5Ryzen 7 5800X3D21.2100.3110.6Core i9 13900K10.2125.9155.5OpenBenchmarking.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: RingcoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K11002200330044005500SE +/- 6.98, N = 3SE +/- 42.31, N = 6SE +/- 1.40, N = 3SE +/- 1.10, N = 3SE +/- 16.25, N = 34151.494425.463738.242127.935233.721. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K91827364539.0625.1729.3320.7127.17
MinAvgMaxRyzen 9 7950X3D19.2106.3119.0Ryzen 9 7950X19.9175.8200.6Ryzen 9 5950X26.1127.5142.5Ryzen 7 5800X3D21.8102.7114.9Core i9 13900K10.3192.6276.8OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 322.6724.7616.229.4922.481. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.04520.09040.13560.18080.2260.2010.1290.1330.0800.117
MinAvgMaxRyzen 9 7950X3D20.7112.9136.2Ryzen 9 7950X19.3192.7231.9Ryzen 9 5950X20.0121.9136.0Ryzen 7 5800X3D23.1118.1133.1Core i9 13900K10.3192.7315.1OpenBenchmarking.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 EnhanceRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1020304050SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 333.5732.8639.7642.0330.82
MinAvgMaxRyzen 9 7950X3D18.948.661.5Ryzen 9 7950X20.360.572.7Ryzen 9 5950X21.157.680.6Ryzen 7 5800X3D21.542.849.8Core i9 13900K10.146.179.1OpenBenchmarking.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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450SE +/- 1.86, N = 3SE +/- 2.89, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 33653842912804361. chrome 110.0.5481.96
OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K369121510.1998.9615.3627.20813.464
MinAvgMaxRyzen 9 7950X3D19.835.855.4Ryzen 9 7950X18.542.965.5Ryzen 9 5950X17.754.387.3Ryzen 7 5800X3D20.438.854.9Core i9 13900K10.032.456.1OpenBenchmarking.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 BayesRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 0.10, N = 3SE +/- 0.71, N = 3SE +/- 13.79, N = 3SE +/- 1.72, N = 3SE +/- 0.90, N = 3785.5792.51927.81531.4665.9MIN: 581.49 / MAX: 785.65MIN: 587.35 / MAX: 793.32MIN: 1486.71 / MAX: 1954.98MIN: 1165.35 / MAX: 1533.83MIN: 481.68 / MAX: 667.68
MinAvgMaxRyzen 9 7950X3D20.483.9108.4Ryzen 9 7950X19.4129.6169.0Ryzen 9 5950X23.6123.7144.2Ryzen 7 5800X3D16.087.2106.7Core i9 13900K10.3160.9227.0OpenBenchmarking.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: leblancbigRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1326395265SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 322.3024.4058.3142.8527.201. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
MinAvgMaxRyzen 9 7950X3D20.987.7101.7Ryzen 9 7950X20.3125.3148.4Ryzen 9 5950X26.2125.5134.1Ryzen 7 5800X3D20.987.294.6Core i9 13900K10.3187.0248.6OpenBenchmarking.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 DegreesRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K918273645SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 333.8733.0937.8037.2129.81
MinAvgMaxRyzen 9 7950X3D20.253.474.4Ryzen 9 7950X19.768.6100.1Ryzen 9 5950X25.169.4109.6Ryzen 7 5800X3D18.348.065.6Core i9 13900K10.468.9138.3OpenBenchmarking.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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.022510, N = 3SE +/- 0.002215, N = 3SE +/- 0.037905, N = 3SE +/- 0.006907, N = 3SE +/- 0.057731, N = 57.6878878.2720115.8546173.2623755.4244421. (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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01870.03740.05610.07480.09350.0830.0520.0470.0320.042
MinAvgMaxRyzen 9 7950X3D19.693.0114.7Ryzen 9 7950X19.0158.6198.9Ryzen 9 5950X28.1123.4145.3Ryzen 7 5800X3D24.4101.1111.2Core i9 13900K10.2128.5155.1OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.49050.9811.47151.9622.4525SE +/- 0.000394, N = 4SE +/- 0.000077, N = 4SE +/- 0.117925, N = 15SE +/- 0.000431, N = 4SE +/- 0.019091, N = 150.1447860.1286782.1798700.8254350.783556-lpthread - MIN: 1.32-lpthread - MIN: 0.78MIN: 0.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D18.677.2124.7Ryzen 9 7950X17.2125.5224.2Ryzen 9 5950X14.2109.5145.7Ryzen 7 5800X3D20.889.1139.3Core i9 13900K10.2138.2229.2OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K510152025SE +/- 0.25, N = 4SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 320.0421.4617.0716.8121.181. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.07180.14360.21540.28720.3590.3190.2030.1390.1800.174
MinAvgMaxRyzen 9 7950X3D19.562.970.9Ryzen 9 7950X20.0105.8126.1Ryzen 9 5950X17.9122.4137.4Ryzen 7 5800X3D15.893.2106.0Core i9 13900K10.3121.6145.2OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.38040.76081.14121.52161.902SE +/- 0.010004, N = 15SE +/- 0.002971, N = 15SE +/- 0.011238, N = 14SE +/- 0.001006, N = 5SE +/- 0.003260, N = 50.5700280.3500241.6906000.6083390.657725MIN: 0.43MIN: 0.3-lpthread - MIN: 1.5-lpthread - MIN: 0.59MIN: 0.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D18.362.4101.9Ryzen 9 7950X18.1106.8196.0Ryzen 9 5950X20.1100.0145.5Ryzen 7 5800X3D21.383.7145.4Core i9 13900K10.2135.1225.9OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1224364860SE +/- 0.41, N = 3SE +/- 0.44, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 339.4137.9954.9344.3044.81
MinAvgMaxRyzen 9 7950X3D18.949.460.7Ryzen 9 7950X19.162.168.6Ryzen 9 5950X25.967.574.2Ryzen 7 5800X3D23.551.657.3Core i9 13900K10.344.450.1OpenBenchmarking.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 SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4K8K12K16K20KSE +/- 134.02, N = 3SE +/- 216.01, N = 4SE +/- 6.47, N = 3SE +/- 89.88, N = 3SE +/- 157.46, N = 319259.218877.213605.512991.713858.21. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100200300400500441.19314.02241.51297.95360.89
MinAvgMaxRyzen 9 7950X3D20.443.750.0Ryzen 9 7950X17.860.169.3Ryzen 9 5950X24.756.363.6Ryzen 7 5800X3D14.643.648.7Core i9 13900K10.138.445.4OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4K8K12K16K20KSE +/- 115.61, N = 3SE +/- 178.19, N = 4SE +/- 6.85, N = 3SE +/- 57.71, N = 3SE +/- 79.44, N = 317165.7216706.3912178.4611683.2012902.151. (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 CopyingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K17003400510068008500SE +/- 24.77, N = 3SE +/- 18.75, N = 3SE +/- 8.40, N = 3SE +/- 33.30, N = 4SE +/- 49.82, N = 37110.757707.894658.292763.447123.551. (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 CopyingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2040608010084.4649.3935.3027.3036.77
MinAvgMaxRyzen 9 7950X3D20.584.295.5Ryzen 9 7950X17.0156.1180.3Ryzen 9 5950X17.8132.0151.5Ryzen 7 5800X3D20.7101.2117.8Core i9 13900K10.3193.8260.7OpenBenchmarking.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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 2.82, N = 15SE +/- 0.02, N = 5SE +/- 1.51, N = 4SE +/- 0.67, N = 4SE +/- 2.81, N = 15226.66218.01252.80268.49184.131. chrome 110.0.5481.96
MinAvgMaxRyzen 9 7950X3D19.233.056.6Ryzen 9 7950X19.336.461.4Ryzen 9 5950X22.542.660.8Ryzen 7 5800X3D21.333.445.5Core i9 13900K5.123.546.9OpenBenchmarking.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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.028177, N = 3SE +/- 0.035983, N = 3SE +/- 0.012084, N = 3SE +/- 0.003072, N = 3SE +/- 0.000414, N = 37.2290227.6773185.5465973.1621335.0774121. (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: 512Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01730.03460.05190.06920.08650.0770.0500.0440.0310.040
MinAvgMaxRyzen 9 7950X3D18.194.0114.5Ryzen 9 7950X19.6154.9196.9Ryzen 9 5950X27.4126.8145.5Ryzen 7 5800X3D8.0101.4110.6Core i9 13900K10.2126.7151.1OpenBenchmarking.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 CompressionRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.830.880.720.670.931. (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 CompressionRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00410.00820.01230.01640.02050.0180.0150.0110.0140.018
MinAvgMaxRyzen 9 7950X3D18.145.255.4Ryzen 9 7950X19.659.969.0Ryzen 9 5950X20.463.672.8Ryzen 7 5800X3D19.046.653.1Core i9 13900K9.950.465.4OpenBenchmarking.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: SemaphoresRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K800K1600K2400K3200K4000KSE +/- 1160.61, N = 3SE +/- 506.92, N = 3SE +/- 756.14, N = 3SE +/- 185.21, N = 3SE +/- 1428.39, N = 33477892.663477980.143407082.541730567.003517761.821. (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: SemaphoresRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K11K22K33K44K55K50489.3534106.3227945.0329229.9935655.65
MinAvgMaxRyzen 9 7950X3D17.768.976.0Ryzen 9 7950X19.4102.0116.7Ryzen 9 5950X18.6121.9136.1Ryzen 7 5800X3D23.459.264.7Core i9 13900K10.398.7112.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K8M16M24M32M40MSE +/- 180709.68, N = 3SE +/- 203990.92, N = 3SE +/- 146269.37, N = 3SE +/- 8516.84, N = 3SE +/- 260323.82, N = 336092587.3737539926.4124924097.807668646.5933684130.531. (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: MallocRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70K140K210K280K350K313437.08201006.35193558.1175095.98170307.39
MinAvgMaxRyzen 9 7950X3D16.0115.2128.9Ryzen 9 7950X19.8186.8213.5Ryzen 9 5950X19.5128.8142.9Ryzen 7 5800X3D20.0102.1115.6Core i9 13900K10.2197.8271.6OpenBenchmarking.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: x25xRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 1.41, N = 3SE +/- 2.59, N = 3SE +/- 5.26, N = 3SE +/- 1.47, N = 3SE +/- 1.53, N = 31106.991195.06780.35432.771115.691. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K369121510.6496.8016.3634.0615.698
MinAvgMaxRyzen 9 7950X3D19.0104.0119.4Ryzen 9 7950X20.2175.7206.2Ryzen 9 5950X27.4122.6136.2Ryzen 7 5800X3D22.9106.6124.4Core i9 13900K10.3195.8295.2OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30K60K90K120K150KSE +/- 47.26, N = 3SE +/- 112.60, N = 3SE +/- 43.72, N = 3SE +/- 43.72, N = 3SE +/- 64.89, N = 31364001476534829727167533131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K300600900120015001248.82765.91396.33243.74281.05
MinAvgMaxRyzen 9 7950X3D16.8109.2126.8Ryzen 9 7950X17.4192.8229.1Ryzen 9 5950X14.3121.9135.4Ryzen 7 5800X3D21.4111.5126.1Core i9 13900K10.4189.7269.6OpenBenchmarking.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 MathRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30K60K90K120K150KSE +/- 39.72, N = 3SE +/- 19.90, N = 3SE +/- 143.21, N = 3SE +/- 5.92, N = 3SE +/- 85.41, N = 3137986.85145114.57111113.8459200.31119388.161. (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 MathRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K300600900120015001266.98819.75872.58597.65631.18
MinAvgMaxRyzen 9 7950X3D19.9108.9122.2Ryzen 9 7950X19.3177.0207.3Ryzen 9 5950X23.4127.3142.6Ryzen 7 5800X3D18.599.1111.3Core i9 13900K10.6189.2255.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30K60K90K120K150KSE +/- 110.52, N = 3SE +/- 122.60, N = 3SE +/- 67.89, N = 3SE +/- 7.51, N = 3SE +/- 185.60, N = 3122854.78130380.6178872.2143765.16103299.381. (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 MathRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000982.56637.09639.30413.46543.94
MinAvgMaxRyzen 9 7950X3D20.2125.0142.4Ryzen 9 7950X19.6204.7235.6Ryzen 9 5950X25.4123.4138.2Ryzen 7 5800X3D20.5105.9119.8Core i9 13900K10.4189.9253.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K10K20K30K40K50KSE +/- 37.57, N = 3SE +/- 80.13, N = 3SE +/- 39.92, N = 3SE +/- 7.19, N = 3SE +/- 54.01, N = 343702.3446618.1131804.8916797.6644383.161. (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: CryptoRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450415.12273.47248.74172.96230.59
MinAvgMaxRyzen 9 7950X3D19.6105.3121.6Ryzen 9 7950X19.7170.5195.4Ryzen 9 5950X24.3127.9143.7Ryzen 7 5800X3D19.297.1108.3Core i9 13900K10.2192.5263.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K13K26K39K52K65KSE +/- 186.27, N = 3SE +/- 708.50, N = 3SE +/- 675.22, N = 3SE +/- 268.87, N = 3SE +/- 740.51, N = 357970.6261043.3947950.6824536.0851978.291. (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: CPU StressRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K130260390520650592.82356.86384.66247.69299.22
MinAvgMaxRyzen 9 7950X3D19.097.8111.5Ryzen 9 7950X18.9171.1194.7Ryzen 9 5950X22.9124.7145.5Ryzen 7 5800X3D19.199.1111.9Core i9 13900K10.3173.7229.8OpenBenchmarking.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, OnecoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100K200K300K400K500KSE +/- 226.59, N = 3SE +/- 2404.69, N = 3SE +/- 212.63, N = 3SE +/- 526.79, N = 3SE +/- 396.86, N = 34252834580133489471885074428001. (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, OnecoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K80016002400320040003739.472449.272750.381845.612305.63
MinAvgMaxRyzen 9 7950X3D18.2113.7129.5Ryzen 9 7950X17.3187.0220.1Ryzen 9 5950X23.2126.9141.2Ryzen 7 5800X3D20.1102.1115.4Core i9 13900K10.3192.1255.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K150300450600750SE +/- 0.20, N = 3SE +/- 0.31, N = 3SE +/- 0.41, N = 3SE +/- 0.14, N = 3SE +/- 0.98, N = 3641.01686.75306.65161.11330.681. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.31742.63483.95225.26966.5875.8553.5112.3691.6821.788
MinAvgMaxRyzen 9 7950X3D17.5109.5125.7Ryzen 9 7950X19.1195.6227.8Ryzen 9 5950X17.8129.5144.6Ryzen 7 5800X3D21.695.8106.5Core i9 13900K10.4184.9239.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 1.32, N = 3SE +/- 8.24, N = 3SE +/- 1.96, N = 3SE +/- 0.75, N = 3SE +/- 3.42, N = 31099.051174.37827.56448.971174.691. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K36912159.5106.5616.6554.3206.151
MinAvgMaxRyzen 9 7950X3D20.7115.6129.9Ryzen 9 7950X18.4179.0210.3Ryzen 9 5950X27.9124.3139.3Ryzen 7 5800X3D23.2103.9117.4Core i9 13900K10.4191.0274.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70K140K210K280K350KSE +/- 165.63, N = 3SE +/- 2466.61, N = 3SE +/- 117.90, N = 3SE +/- 58.59, N = 3SE +/- 1609.65, N = 3291570313527155270836901999871. (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, PyriteRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60012001800240030002755.191687.531227.64816.061064.98
MinAvgMaxRyzen 9 7950X3D19.9105.8118.2Ryzen 9 7950X19.2185.8217.9Ryzen 9 5950X29.4126.5143.1Ryzen 7 5800X3D24.5102.6115.6Core i9 13900K10.3187.8254.3OpenBenchmarking.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 CompileRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1122334455SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 321.4221.6734.6649.3222.53
MinAvgMaxRyzen 9 7950X3D21.094.6134.7Ryzen 9 7950X19.5147.2219.3Ryzen 9 5950X17.1119.2145.7Ryzen 7 5800X3D22.6104.7123.5Core i9 13900K10.3161.0281.9OpenBenchmarking.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: SkeincoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60K120K180K240K300KSE +/- 1039.32, N = 3SE +/- 209.84, N = 3SE +/- 124.23, N = 3SE +/- 23.33, N = 3SE +/- 636.80, N = 3263657282660150080847931596871. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50010001500200025002354.421446.171227.77756.97835.86
MinAvgMaxRyzen 9 7950X3D16.7112.0125.3Ryzen 9 7950X19.0195.5223.6Ryzen 9 5950X22.9122.2135.4Ryzen 7 5800X3D20.8112.0126.3Core i9 13900K10.5191.0265.9OpenBenchmarking.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_TestRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50M100M150M200M250MSE +/- 517472.49, N = 3SE +/- 3033333.33, N = 3SE +/- 1631699.86, N = 6SE +/- 233333.33, N = 3SE +/- 470224.53, N = 3203066667235966667168533333157733333198833333-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_TestRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.2M2.4M3.6M4.8M6M5385437.364300478.822925958.873697190.094755384.68
MinAvgMaxRyzen 9 7950X3D17.237.742.8Ryzen 9 7950X19.954.962.7Ryzen 9 5950X13.457.663.5Ryzen 7 5800X3D14.642.746.3Core i9 13900K10.141.849.7OpenBenchmarking.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 CompileRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1122334455SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 321.9521.1932.3450.2221.94
MinAvgMaxRyzen 9 7950X3D20.394.2130.0Ryzen 9 7950X19.5149.3222.1Ryzen 9 5950X26.7116.5145.6Ryzen 7 5800X3D18.0104.1122.7Core i9 13900K10.3164.8282.9OpenBenchmarking.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 StateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.23690.47380.71070.94761.1845SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.6150.7481.0100.8341.053
MinAvgMaxRyzen 9 7950X3D17.841.749.5Ryzen 9 7950X16.861.167.7Ryzen 9 5950X9.058.964.9Ryzen 7 5800X3D22.944.949.7Core i9 13900K10.042.959.6OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K714212835SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 328.3530.7121.1317.7227.701. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.08550.1710.25650.3420.42750.3800.2460.2070.1810.198
MinAvgMaxRyzen 9 7950X3D21.074.590.4Ryzen 9 7950X19.2124.6149.3Ryzen 9 5950X18.1102.1124.6Ryzen 7 5800X3D21.898.0113.9Core i9 13900K10.3139.8176.8OpenBenchmarking.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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.035847, N = 3SE +/- 0.044158, N = 3SE +/- 0.026923, N = 3SE +/- 0.004391, N = 3SE +/- 0.001322, N = 37.9817798.4190145.9833693.3593975.6420151. (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: 1024Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01940.03880.05820.07760.0970.0860.0540.0480.0330.044
MinAvgMaxRyzen 9 7950X3D18.792.5113.1Ryzen 9 7950X19.4156.2199.1Ryzen 9 5950X23.9124.4145.6Ryzen 7 5800X3D20.7100.7111.0Core i9 13900K10.2127.1153.8OpenBenchmarking.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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.64, N = 3SE +/- 0.99, N = 3SE +/- 1.11, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 3215.7251.2186.3173.1205.1-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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.28142.56283.84425.12566.4075.6954.5363.6744.2415.476
MinAvgMaxRyzen 9 7950X3D18.237.940.6Ryzen 9 7950X16.855.461.7Ryzen 9 5950X21.150.756.1Ryzen 7 5800X3D17.240.844.5Core i9 13900K10.037.542.2OpenBenchmarking.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 MIMO 256-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K150300450600750SE +/- 6.39, N = 3SE +/- 4.08, N = 3SE +/- 3.98, N = 3SE +/- 0.82, N = 3SE +/- 1.52, N = 3608.1671.9549.7516.7703.9-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

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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 322.1923.3920.6521.7722.631. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.08620.17240.25860.34480.4310.3830.2470.1900.2640.233
MinAvgMaxRyzen 9 7950X3D20.257.965.5Ryzen 9 7950X20.794.8110.3Ryzen 9 5950X22.9108.7123.9Ryzen 7 5800X3D22.482.596.5Core i9 13900K10.297.2122.4OpenBenchmarking.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 RateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.063022, N = 3SE +/- 0.029350, N = 3SE +/- 0.085076, N = 3SE +/- 0.011217, N = 3SE +/- 0.038122, N = 311.42866111.1594809.6768624.6933068.4175291. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.02660.05320.07980.10640.1330.1180.0780.0770.0500.052
MinAvgMaxRyzen 9 7950X3D19.096.6121.1Ryzen 9 7950X18.3142.4181.7Ryzen 9 5950X20.4124.9145.8Ryzen 7 5800X3D23.393.6103.9Core i9 13900K10.3162.8240.2OpenBenchmarking.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: CrownRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K816243240SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 332.0232.4223.6214.5528.77MIN: 31.73 / MAX: 32.49MIN: 32.1 / MAX: 33.08MIN: 23.35 / MAX: 24.16MIN: 14.4 / MAX: 14.76MIN: 27.17 / MAX: 30.82
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.06170.12340.18510.24680.30850.2740.1730.1860.1230.151
MinAvgMaxRyzen 9 7950X3D21.0116.8138.3Ryzen 9 7950X19.5186.8227.9Ryzen 9 5950X22.4127.1143.4Ryzen 7 5800X3D22.9118.1129.0Core i9 13900K10.6190.7287.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K816243240SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 336.0436.3822.5313.7730.17MIN: 35.71 / MAX: 36.68MIN: 35.77 / MAX: 37.25MIN: 22.23 / MAX: 23.05MIN: 13.66 / MAX: 13.95MIN: 28.37 / MAX: 32.49
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.07130.14260.21390.28520.35650.3170.1940.1790.1140.158
MinAvgMaxRyzen 9 7950X3D19.6113.7136.0Ryzen 9 7950X17.7187.9231.0Ryzen 9 5950X26.1125.6141.5Ryzen 7 5800X3D16.9120.9131.9Core i9 13900K10.5190.8286.4OpenBenchmarking.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.xzRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.06, N = 20SE +/- 0.03, N = 5SE +/- 0.06, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 410.2010.0412.3513.0510.97
MinAvgMaxRyzen 9 7950X3D19.046.261.2Ryzen 9 7950X17.951.864.1Ryzen 9 5950X21.251.663.8Ryzen 7 5800X3D24.140.646.9Core i9 13900K10.137.248.7OpenBenchmarking.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 1.2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90M180M270M360M450MSE +/- 399596.70, N = 3SE +/- 457167.13, N = 3SE +/- 69749.32, N = 3SE +/- 156345.04, N = 3SE +/- 2423281.77, N = 34382888004307696672099941332341361004151192001. (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 1.2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.3M2.6M3.9M5.2M6.5M6077019.524341818.611959157.713591133.582395578.22
MinAvgMaxRyzen 9 7950X3D20.672.199.3Ryzen 9 7950X17.799.2152.6Ryzen 9 5950X23.8107.2136.9Ryzen 7 5800X3D19.965.290.5Core i9 13900K10.3173.3249.3OpenBenchmarking.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 CompileRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K816243240SE +/- 0.06, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 615.4014.8622.6236.4416.01
MinAvgMaxRyzen 9 7950X3D18.493.3130.1Ryzen 9 7950X18.1150.1220.6Ryzen 9 5950X17.6114.9144.4Ryzen 7 5800X3D17.8103.8122.3Core i9 13900K10.3160.4290.0OpenBenchmarking.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 DynamicsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.19, N = 15SE +/- 0.03, N = 5SE +/- 0.08, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 511.2010.5613.4614.2510.31
MinAvgMaxRyzen 9 7950X3D17.241.459.1Ryzen 9 7950X18.848.561.0Ryzen 9 5950X17.150.460.2Ryzen 7 5800X3D20.439.945.6Core i9 13900K10.134.745.2OpenBenchmarking.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: H2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400800120016002000SE +/- 24.67, N = 20SE +/- 27.98, N = 20SE +/- 41.13, N = 20SE +/- 25.88, N = 20SE +/- 20.58, N = 2016481575187217751571
MinAvgMaxRyzen 9 7950X3D19.136.960.8Ryzen 9 7950X17.947.191.9Ryzen 9 5950X21.361.1111.5Ryzen 7 5800X3D18.643.975.6Core i9 13900K10.238.493.6OpenBenchmarking.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 DragonRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K918273645SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 339.7337.1824.4516.0337.25MIN: 39.38 / MAX: 41.15MIN: 36.82 / MAX: 38.24MIN: 24.27 / MAX: 24.99MIN: 15.95 / MAX: 16.27MIN: 35.14 / MAX: 39.61
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.08690.17380.26070.34760.43450.3860.2290.1890.1450.200
MinAvgMaxRyzen 9 7950X3D20.4103.0125.6Ryzen 9 7950X19.2162.1200.1Ryzen 9 5950X21.5129.2145.6Ryzen 7 5800X3D22.9110.9121.8Core i9 13900K10.5186.2278.9OpenBenchmarking.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: AntialiasRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 324.5023.9428.2829.0519.80
MinAvgMaxRyzen 9 7950X3D19.350.164.9Ryzen 9 7950X18.365.287.9Ryzen 9 5950X24.163.898.1Ryzen 7 5800X3D22.946.057.2Core i9 13900K10.256.3102.5OpenBenchmarking.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 DragonRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K816243240SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 334.3333.5424.7416.4833.54MIN: 33.87 / MAX: 34.89MIN: 33.23 / MAX: 34.25MIN: 24.59 / MAX: 25.13MIN: 16.34 / MAX: 16.79MIN: 31.42 / MAX: 35.72
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.07160.14320.21480.28640.3580.3180.2020.1920.1560.179
MinAvgMaxRyzen 9 7950X3D21.0107.9129.0Ryzen 9 7950X19.8166.4201.0Ryzen 9 5950X29.4128.8145.6Ryzen 7 5800X3D24.0105.7117.1Core i9 13900K10.3186.9266.4OpenBenchmarking.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 ThroughputRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350SE +/- 2.40, N = 3SE +/- 0.28, N = 3SE +/- 0.72, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3311.90335.52267.38254.47314.281. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec Per Watt, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468108.1666.0655.3656.2818.723
MinAvgMaxRyzen 9 7950X3D18.438.243.1Ryzen 9 7950X17.255.361.6Ryzen 9 5950X24.449.856.6Ryzen 7 5800X3D14.840.543.8Core i9 13900K10.136.041.1OpenBenchmarking.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 DirectionRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K918273645SE +/- 0.07, N = 4SE +/- 0.01, N = 4SE +/- 0.31, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 414.5114.6239.1827.8411.641. (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
MinAvgMaxRyzen 9 7950X3D20.471.588.3Ryzen 9 7950X20.6100.5126.3Ryzen 9 5950X27.6116.0128.6Ryzen 7 5800X3D24.571.279.7Core i9 13900K10.4163.5235.8OpenBenchmarking.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: ThoroughRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.0056, N = 3SE +/- 0.0136, N = 4SE +/- 0.0185, N = 3SE +/- 0.0046, N = 3SE +/- 0.0077, N = 316.051217.812512.02426.732316.36031. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.03670.07340.11010.14680.18350.1630.1080.1090.0610.101
MinAvgMaxRyzen 9 7950X3D21.198.4129.5Ryzen 9 7950X20.2164.4234.6Ryzen 9 5950X23.6110.5135.3Ryzen 7 5800X3D23.0110.4129.0Core i9 13900K10.3162.3294.4OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K510152025SE +/- 0.06, N = 5SE +/- 0.09, N = 5SE +/- 0.04, N = 4SE +/- 0.02, N = 3SE +/- 0.29, N = 1517.6518.7014.839.0416.77MIN: 15.98 / MAX: 18.07MIN: 16.72 / MAX: 18.91MIN: 13.61 / MAX: 15.15MIN: 8.59 / MAX: 9.14MIN: 11.67 / MAX: 19.31
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.04460.08920.13380.17840.2230.1980.1330.1400.0890.110
MinAvgMaxRyzen 9 7950X3D18.989.4124.4Ryzen 9 7950X17.4140.5204.7Ryzen 9 5950X17.6105.7140.6Ryzen 7 5800X3D22.2101.4125.4Core i9 13900K10.4153.1278.9OpenBenchmarking.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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.56, N = 3SE +/- 0.07, N = 3SE +/- 0.42, N = 3SE +/- 0.25, N = 3SE +/- 0.25, N = 3204.3237.3174.9163.1185.2-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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.2292.4583.6874.9166.1455.4624.3553.3964.0144.997
MinAvgMaxRyzen 9 7950X3D19.737.441.3Ryzen 9 7950X17.954.565.0Ryzen 9 5950X23.751.558.7Ryzen 7 5800X3D16.340.645.6Core i9 13900K10.237.148.2OpenBenchmarking.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 MIMO 64-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 5.08, N = 3SE +/- 0.98, N = 3SE +/- 0.68, N = 3SE +/- 0.65, N = 3SE +/- 1.28, N = 3552.5618.3502.7472.2636.6-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

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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100200300400500SE +/- 3.52, N = 7SE +/- 0.63, N = 4SE +/- 1.04, N = 3SE +/- 1.25, N = 3SE +/- 0.15, N = 4376.3347.2448.4466.5341.91. chrome 110.0.5481.96
MinAvgMaxRyzen 9 7950X3D19.531.753.0Ryzen 9 7950X16.835.766.0Ryzen 9 5950X22.144.583.4Ryzen 7 5800X3D20.133.855.0Core i9 13900K10.125.255.8OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K816243240SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.42, N = 434.4235.9726.9716.1134.381. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.09590.19180.28770.38360.47950.4260.2540.2160.1700.206
MinAvgMaxRyzen 9 7950X3D20.980.8101.1Ryzen 9 7950X20.9141.4180.4Ryzen 9 5950X16.5125.1144.7Ryzen 7 5800X3D12.794.7119.8Core i9 13900K10.3166.9236.3OpenBenchmarking.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 OSERyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K816243240SE +/- 0.29, N = 3SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 320.2119.6126.9033.2616.95
MinAvgMaxRyzen 9 7950X3D20.558.4134.5Ryzen 9 7950X18.581.2229.7Ryzen 9 5950X23.076.8144.6Ryzen 7 5800X3D20.564.6126.8Core i9 13900K10.385.3307.4OpenBenchmarking.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 RatingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K40K80K120K160K200KSE +/- 814.41, N = 3SE +/- 282.00, N = 3SE +/- 237.45, N = 3SE +/- 172.79, N = 3SE +/- 985.52, N = 3176425184635140036738971451571. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4008001200160020001803.831191.171104.47876.20774.58
MinAvgMaxRyzen 9 7950X3D20.797.8131.1Ryzen 9 7950X18.7155.0211.6Ryzen 9 5950X26.6126.8145.6Ryzen 7 5800X3D14.684.3104.4Core i9 13900K10.2187.4253.7OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K40K80K120K160K200KSE +/- 443.43, N = 3SE +/- 335.16, N = 3SE +/- 68.54, N = 3SE +/- 167.75, N = 3SE +/- 867.87, N = 318997917929194633840391827211. (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 ForestRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100200300400500SE +/- 1.84, N = 3SE +/- 0.37, N = 3SE +/- 2.59, N = 3SE +/- 1.52, N = 3SE +/- 1.04, N = 3395.5372.9471.2482.9384.5MIN: 347.88 / MAX: 470.95MIN: 339.45 / MAX: 443.96MIN: 425.96 / MAX: 560.03MIN: 439.29 / MAX: 566.64MIN: 342.72 / MAX: 453.16
MinAvgMaxRyzen 9 7950X3D20.550.877.4Ryzen 9 7950X20.572.6125.0Ryzen 9 5950X24.986.2131.8Ryzen 7 5800X3D16.259.295.0Core i9 13900K10.367.4143.1OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 1.32, N = 15SE +/- 0.45, N = 6SE +/- 0.41, N = 5SE +/- 0.90, N = 15SE +/- 0.26, N = 7104.47102.9065.1789.06120.381. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.43360.86721.30081.73442.1681.9271.2190.7081.3671.394
MinAvgMaxRyzen 9 7950X3D18.854.276.9Ryzen 9 7950X19.284.4127.4Ryzen 9 5950X24.492.0129.4Ryzen 7 5800X3D17.365.191.2Core i9 13900K10.286.3147.3OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 1.12, N = 15SE +/- 0.34, N = 6SE +/- 0.46, N = 5SE +/- 1.17, N = 15SE +/- 0.33, N = 7104.81106.8270.3396.55127.031. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.44660.89321.33981.78642.2331.9851.3250.7421.5371.567
MinAvgMaxRyzen 9 7950X3D20.252.875.3Ryzen 9 7950X19.980.6125.5Ryzen 9 5950X19.994.8127.8Ryzen 7 5800X3D23.562.888.2Core i9 13900K10.181.1138.8OpenBenchmarking.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 - DegriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3K6K9K12K15KSE +/- 150.99, N = 7SE +/- 73.72, N = 2SE +/- 15.52, N = 6SE +/- 43.50, N = 15SE +/- 20.33, N = 1511883.306265.723214.738500.607637.141. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350305.92117.0753.14195.08185.34
MinAvgMaxRyzen 9 7950X3D20.438.872.6Ryzen 9 7950X19.053.599.5Ryzen 9 5950X19.060.5122.7Ryzen 7 5800X3D18.943.678.2Core i9 13900K10.141.2112.0OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K15003000450060007500SE +/- 36.30, N = 7SE +/- 23.45, N = 6SE +/- 12.44, N = 6SE +/- 57.98, N = 15SE +/- 32.31, N = 156904.086168.552793.176022.714933.621. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.29480.58960.88441.17921.474SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.201.310.930.631.201. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00320.00640.00960.01280.0160.0140.0090.0090.0060.008
MinAvgMaxRyzen 9 7950X3D18.784.8137.1Ryzen 9 7950X20.2139.2225.0Ryzen 9 5950X28.1105.8140.2Ryzen 7 5800X3D24.1107.6143.0Core i9 13900K10.3159.2314.9OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 1.34, N = 15SE +/- 0.32, N = 6SE +/- 0.19, N = 5SE +/- 0.72, N = 15SE +/- 0.27, N = 7106.59105.5868.9997.17126.141. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.44930.89861.34791.79722.24651.9971.3000.7311.5221.530
MinAvgMaxRyzen 9 7950X3D19.353.476.3Ryzen 9 7950X20.581.2122.6Ryzen 9 5950X23.994.4130.0Ryzen 7 5800X3D20.763.990.3Core i9 13900K10.182.5140.3OpenBenchmarking.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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.03, N = 6SE +/- 0.09, N = 6SE +/- 0.08, N = 5SE +/- 0.05, N = 4SE +/- 0.72, N = 1578.9287.8957.3239.0775.971. (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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.22640.45280.67920.90561.1321.0060.6520.5290.3780.487
MinAvgMaxRyzen 9 7950X3D20.678.5110.4Ryzen 9 7950X19.7134.9209.0Ryzen 9 5950X3.8108.4142.6Ryzen 7 5800X3D24.3103.4126.7Core i9 13900K10.2155.9271.4OpenBenchmarking.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: ReflectRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 320.0819.7023.6224.8617.68
MinAvgMaxRyzen 9 7950X3D20.945.857.9Ryzen 9 7950X20.459.981.1Ryzen 9 5950X24.458.579.4Ryzen 7 5800X3D23.642.649.1Core i9 13900K10.148.879.3OpenBenchmarking.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 StateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.04010.08020.12030.16040.2005SE +/- 0.001, N = 4SE +/- 0.001, N = 4SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.1060.1210.1710.1460.178
MinAvgMaxRyzen 9 7950X3D18.240.550.6Ryzen 9 7950X17.257.073.0Ryzen 9 5950X27.158.473.7Ryzen 7 5800X3D23.345.552.7Core i9 13900K9.942.748.4OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.40490.80981.21471.61962.0245SE +/- 0.001790, N = 3SE +/- 0.000506, N = 3SE +/- 0.010879, N = 3SE +/- 0.003085, N = 3SE +/- 0.012535, N = 30.4667300.4189261.1225301.7996000.965824MIN: 0.45MIN: 0.4-lpthread - MIN: 0.98-lpthread - MIN: 1.77MIN: 0.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D19.383.8120.7Ryzen 9 7950X18.6146.6220.8Ryzen 9 5950X21.2111.0142.5Ryzen 7 5800X3D22.496.9142.9Core i9 13900K10.3172.3283.7OpenBenchmarking.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: 1Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.28130.56260.84391.12521.4065SE +/- 0.007, N = 3SE +/- 0.003, N = 4SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 31.1661.2500.9490.7521.159
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 1Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.00410.00820.01230.01640.02050.0180.0120.0090.0090.010
MinAvgMaxRyzen 9 7950X3D19.464.6104.6Ryzen 9 7950X16.6101.1175.6Ryzen 9 5950X23.5103.3145.5Ryzen 7 5800X3D19.882.2120.3Core i9 13900K10.2112.1214.2OpenBenchmarking.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 EntropyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.033, N = 6SE +/- 0.058, N = 6SE +/- 0.059, N = 5SE +/- 0.095, N = 4SE +/- 0.105, N = 157.2046.84711.01114.7337.448
MinAvgMaxRyzen 9 7950X3D18.160.7136.4Ryzen 9 7950X19.690.3232.9Ryzen 9 5950X22.986.1145.5Ryzen 7 5800X3D21.577.4118.1Core i9 13900K10.295.5292.3OpenBenchmarking.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 SuiteRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400K800K1200K1600K2000KSE +/- 14330.85, N = 3SE +/- 12533.33, N = 4SE +/- 4891.90, N = 3SE +/- 10096.19, N = 3SE +/- 16916.01, N = 5115710912195749437748914451639851
OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K10K20K30K40K50K30898.0824199.9519629.6222890.6346842.81
MinAvgMaxRyzen 9 7950X3D15.037.442.1Ryzen 9 7950X18.350.460.4Ryzen 9 5950X29.248.152.5Ryzen 7 5800X3D20.738.943.6Core i9 13900K10.035.047.1OpenBenchmarking.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 1.21Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K11002200330044005500SE +/- 52.25, N = 3SE +/- 34.51, N = 3SE +/- 26.94, N = 3SE +/- 24.79, N = 3SE +/- 41.48, N = 44605.34602.73650.33482.85310.61. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30609012015091.3490.5574.1187.30137.09
MinAvgMaxRyzen 9 7950X3D19.450.458.0Ryzen 9 7950X17.250.859.0Ryzen 9 5950X21.049.353.2Ryzen 7 5800X3D21.839.943.1Core i9 13900K10.138.749.9OpenBenchmarking.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 FillRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K300K600K900K1200K1500KSE +/- 3517.03, N = 3SE +/- 2383.09, N = 3SE +/- 2790.99, N = 3SE +/- 4891.69, N = 4SE +/- 9220.65, N = 3144140915037741420056139093814865491. (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 FillRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4K8K12K16K20K14556.909494.8411160.0718542.738703.37
MinAvgMaxRyzen 9 7950X3D16.599.0117.3Ryzen 9 7950X15.6158.4189.7Ryzen 9 5950X26.4127.2145.6Ryzen 7 5800X3D20.275.095.4Core i9 13900K10.4170.8209.2OpenBenchmarking.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 GlassRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 319.7719.3823.1023.3817.32
MinAvgMaxRyzen 9 7950X3D21.049.662.0Ryzen 9 7950X18.763.589.5Ryzen 9 5950X23.865.491.0Ryzen 7 5800X3D23.444.760.2Core i9 13900K10.355.795.1OpenBenchmarking.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: 57Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K400M800M1200M1600M2000MSE +/- 517472.49, N = 3SE +/- 1934195.21, N = 3SE +/- 581186.53, N = 3SE +/- 750022.22, N = 3SE +/- 2138535.32, N = 314861333331637466667106863333362875000017157000001. (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: 57Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3M6M9M12M15M13393712.689069208.249384068.826038721.239329280.31
MinAvgMaxRyzen 9 7950X3D20.7111.0136.4Ryzen 9 7950X18.5180.6229.8Ryzen 9 5950X23.6113.9137.7Ryzen 7 5800X3D21.7104.1130.6Core i9 13900K10.3183.9305.0OpenBenchmarking.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: 57Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K200M400M600M800M1000MSE +/- 1345696.85, N = 3SE +/- 8035434.72, N = 3SE +/- 722041.86, N = 3SE +/- 2526831.57, N = 3SE +/- 712959.40, N = 37553800008026166675824833335539233338253733331. (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: 57Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2M4M6M8M10M10723673.086924489.944638801.355602101.366179993.57
MinAvgMaxRyzen 9 7950X3D20.970.481.5Ryzen 9 7950X19.9115.9138.4Ryzen 9 5950X24.6125.6145.6Ryzen 7 5800X3D22.798.9116.0Core i9 13900K10.4133.6184.3OpenBenchmarking.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: 57Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K300M600M900M1200M1500MSE +/- 3742102.80, N = 3SE +/- 7945718.62, N = 3SE +/- 3141832.44, N = 3SE +/- 476806.51, N = 3SE +/- 1827870.65, N = 314799000001573433333102136666762792666712866333331. (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: 57Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3M6M9M12M15M13053414.078683994.168568841.795992937.447640508.27
MinAvgMaxRyzen 9 7950X3D15.8113.4135.4Ryzen 9 7950X19.5181.2221.1Ryzen 9 5950X17.9119.2139.1Ryzen 7 5800X3D22.7104.8129.2Core i9 13900K10.4168.4245.6OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.92, N = 15SE +/- 0.25, N = 6SE +/- 0.32, N = 5SE +/- 0.15, N = 5SE +/- 0.19, N = 688.5890.5858.7572.94101.821. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.33950.6791.01851.3581.69751.5090.9740.5771.0181.044
MinAvgMaxRyzen 9 7950X3D17.158.780.6Ryzen 9 7950X19.893.0136.8Ryzen 9 5950X23.5101.8130.8Ryzen 7 5800X3D18.971.795.0Core i9 13900K10.397.6156.7OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.75, N = 15SE +/- 0.72, N = 7SE +/- 0.62, N = 5SE +/- 0.38, N = 4SE +/- 0.99, N = 7109.04109.4455.5845.77117.331. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.34040.68081.02121.36161.7021.5130.9170.5060.5010.939
MinAvgMaxRyzen 9 7950X3D19.372.1115.3Ryzen 9 7950X20.0119.3207.4Ryzen 9 5950X19.3109.8145.7Ryzen 7 5800X3D20.391.3118.1Core i9 13900K10.2124.9294.4OpenBenchmarking.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 TestRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4K8K12K16K20KSE +/- 46.68, N = 5SE +/- 62.53, N = 5SE +/- 31.67, N = 4SE +/- 8.30, N = 4SE +/- 182.55, N = 1510783115777279695817636
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterNode.js Express HTTP Load TestRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450250.89210.27107.89148.56408.28
MinAvgMaxRyzen 9 7950X3D18.843.053.0Ryzen 9 7950X20.255.174.1Ryzen 9 5950X20.167.583.2Ryzen 7 5800X3D22.446.856.9Core i9 13900K10.143.270.3OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1122334455SE +/- 0.16, N = 4SE +/- 0.24, N = 4SE +/- 0.07, N = 3SE +/- 0.05, N = 4SE +/- 0.11, N = 439.6343.6236.3437.2746.561. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.19240.38480.57720.76960.9620.8550.6130.4480.6460.688
MinAvgMaxRyzen 9 7950X3D20.446.353.8Ryzen 9 7950X20.171.289.4Ryzen 9 5950X29.181.196.6Ryzen 7 5800X3D22.857.768.6Core i9 13900K10.367.788.9OpenBenchmarking.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: FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450SE +/- 0.19, N = 5SE +/- 0.31, N = 5SE +/- 0.56, N = 4SE +/- 0.08, N = 3SE +/- 0.25, N = 4367.90406.61281.08157.96339.531. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.93441.86882.80323.73764.6724.1532.7832.7431.5212.235
MinAvgMaxRyzen 9 7950X3D17.788.6129.6Ryzen 9 7950X19.4146.1235.4Ryzen 9 5950X17.7102.5141.5Ryzen 7 5800X3D20.2103.8129.7Core i9 13900K10.3151.9292.9OpenBenchmarking.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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1122334455SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 445.5050.7134.7823.6843.401. (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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.11950.2390.35850.4780.59750.5310.3380.2960.2170.245
MinAvgMaxRyzen 9 7950X3D18.885.7110.1Ryzen 9 7950X21.1150.1205.2Ryzen 9 5950X24.1117.3140.2Ryzen 7 5800X3D15.7109.3126.0Core i9 13900K10.4176.8250.9OpenBenchmarking.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 v2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 1.10, N = 4SE +/- 0.19, N = 4SE +/- 0.16, N = 4SE +/- 0.56, N = 3SE +/- 0.28, N = 5199.96188.74237.33246.70153.44MIN: 188.83 / MAX: 207.01MIN: 187.81 / MAX: 189.89MIN: 235.02 / MAX: 240.34MIN: 245.03 / MAX: 249.54MIN: 149.26 / MAX: 190.321. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxRyzen 9 7950X3D18.940.759.9Ryzen 9 7950X19.057.870.5Ryzen 9 5950X13.679.093.4Ryzen 7 5800X3D15.646.652.9Core i9 13900K10.267.691.6OpenBenchmarking.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 MixingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.090.180.270.360.45SE +/- 0.002, N = 4SE +/- 0.001, N = 4SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 40.2300.2380.4000.3800.329
MinAvgMaxRyzen 9 7950X3D18.040.658.6Ryzen 9 7950X18.453.067.3Ryzen 9 5950X27.852.762.8Ryzen 7 5800X3D22.941.445.9Core i9 13900K10.138.359.7OpenBenchmarking.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: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K510152025SE +/- 0.07096, N = 15SE +/- 0.00702, N = 7SE +/- 0.15435, N = 9SE +/- 0.02026, N = 7SE +/- 0.01640, N = 75.353605.1913819.1590011.780805.87062MIN: 4.93MIN: 5.11-lpthread - MIN: 18.2-lpthread - MIN: 11.46MIN: 5.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D20.258.988.4Ryzen 9 7950X19.1107.2223.1Ryzen 9 5950X17.780.4121.2Ryzen 7 5800X3D23.073.1142.6Core i9 13900K10.2125.5247.5OpenBenchmarking.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 2020-06-28Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 412.6012.6515.4416.1411.661. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxRyzen 9 7950X3D20.746.355.5Ryzen 9 7950X17.850.861.2Ryzen 9 5950X20.450.156.3Ryzen 7 5800X3D19.237.541.8Core i9 13900K9.932.541.0OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1632486480SE +/- 0.32, N = 4SE +/- 0.32, N = 5SE +/- 0.11, N = 3SE +/- 0.09, N = 4SE +/- 0.13, N = 467.6973.4841.9944.7370.261. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.2180.4360.6540.8721.090.9690.6460.5400.4800.568
MinAvgMaxRyzen 9 7950X3D20.869.994.0Ryzen 9 7950X18.7113.8164.8Ryzen 9 5950X21.277.798.8Ryzen 7 5800X3D22.593.2117.7Core i9 13900K10.3123.6197.3OpenBenchmarking.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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 0.93, N = 4SE +/- 0.82, N = 4SE +/- 1.41, N = 4SE +/- 0.65, N = 4SE +/- 0.37, N = 4223.1259.5196.3182.7246.9-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 SISO 256-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468106.2325.1353.9504.6727.291
MinAvgMaxRyzen 9 7950X3D18.935.840.7Ryzen 9 7950X17.250.561.6Ryzen 9 5950X17.149.758.2Ryzen 7 5800X3D17.439.143.0Core i9 13900K10.233.942.7OpenBenchmarking.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 SISO 256-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K150300450600750SE +/- 1.94, N = 4SE +/- 1.07, N = 4SE +/- 4.41, N = 4SE +/- 0.45, N = 4SE +/- 2.11, N = 4609.5660.4555.7515.4692.9-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, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.51, N = 5SE +/- 0.88, N = 5SE +/- 0.15, N = 4SE +/- 0.06, N = 3SE +/- 0.20, N = 4127.7143.079.975.6109.5-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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.80891.61782.42673.23564.04453.5952.9071.5771.9633.267
MinAvgMaxRyzen 9 7950X3D18.135.541.3Ryzen 9 7950X16.549.261.4Ryzen 9 5950X20.750.756.5Ryzen 7 5800X3D16.038.542.4Core i9 13900K10.033.542.0OpenBenchmarking.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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.67, N = 5SE +/- 1.62, N = 5SE +/- 0.32, N = 4SE +/- 0.54, N = 3SE +/- 1.04, N = 4191.0210.1163.6154.1228.2-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-maskRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 413.1813.0415.4214.4311.86
MinAvgMaxRyzen 9 7950X3D20.747.961.3Ryzen 9 7950X18.963.389.0Ryzen 9 5950X15.172.294.3Ryzen 7 5800X3D16.346.761.7OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 3.52, N = 15SE +/- 3.52, N = 15SE +/- 1.28, N = 15SE +/- 0.67, N = 7SE +/- 4.10, N = 15210.56215.19124.64118.03220.291. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.94211.88422.82633.76844.71054.1872.7511.4661.8222.738
MinAvgMaxRyzen 9 7950X3D19.650.397.2Ryzen 9 7950X18.578.2173.5Ryzen 9 5950X20.485.0143.4Ryzen 7 5800X3D20.864.8105.5Core i9 13900K10.280.5220.1OpenBenchmarking.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 19Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 410.1911.4814.4513.3312.83
MinAvgMaxRyzen 9 7950X3D18.836.542.7Ryzen 9 7950X17.450.161.2Ryzen 9 5950X17.946.551.8Ryzen 7 5800X3D21.638.142.6Core i9 13900K10.131.640.5OpenBenchmarking.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 TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3M6M9M12M15MSE +/- 87638.38, N = 4SE +/- 76270.31, N = 4SE +/- 16648.56, N = 3SE +/- 29665.04, N = 3SE +/- 64159.22, N = 413408637148529271153461710914908145080571. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterCrafty 25.2Elapsed TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90K180K270K360K450K363393.45290518.55227131.78279451.45405958.92
MinAvgMaxRyzen 9 7950X3D20.836.941.7Ryzen 9 7950X19.151.177.2Ryzen 9 5950X25.450.856.4Ryzen 7 5800X3D21.339.142.9Core i9 13900K10.135.744.8OpenBenchmarking.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: 5Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.13112.26223.39334.52445.6555SE +/- 0.022, N = 4SE +/- 0.014, N = 4SE +/- 0.013, N = 4SE +/- 0.005, N = 3SE +/- 0.010, N = 44.6575.0273.7693.3304.572
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 5Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.02070.04140.06210.08280.10350.0920.0670.0440.0510.066
MinAvgMaxRyzen 9 7950X3D14.350.481.2Ryzen 9 7950X16.075.1112.6Ryzen 9 5950X24.386.3127.7Ryzen 7 5800X3D18.864.996.0Core i9 13900K10.369.0128.9OpenBenchmarking.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 v1.1Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.14, N = 4SE +/- 0.19, N = 4SE +/- 0.77, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 5189.31179.06213.05225.97123.20MIN: 188.81 / MAX: 190.65MIN: 178.58 / MAX: 179.74MIN: 211.46 / MAX: 218.4MIN: 225.75 / MAX: 228.64MIN: 122.51 / MAX: 124.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxRyzen 9 7950X3D19.035.540.3Ryzen 9 7950X17.949.860.3Ryzen 9 5950X9.147.354.1Ryzen 7 5800X3D17.239.344.4Core i9 13900K10.132.443.4OpenBenchmarking.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 TimesRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 4.77, N = 4SE +/- 4.96, N = 4SE +/- 3.09, N = 4SE +/- 2.56, N = 4SE +/- 0.93, N = 5573508632670388
MinAvgMaxRyzen 9 7950X3D15.736.641.8Ryzen 9 7950X19.148.158.1Ryzen 9 5950X18.547.152.8Ryzen 7 5800X3D20.438.743.2Core i9 13900K10.034.447.0OpenBenchmarking.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, LosslessRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.52881.05761.58642.11522.644SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 52.312.261.881.702.351. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.01730.03460.05190.06920.08650.0510.0470.0400.0460.077
MinAvgMaxRyzen 9 7950X3D20.845.057.9Ryzen 9 7950X19.747.860.7Ryzen 9 5950X24.946.956.9Ryzen 7 5800X3D20.437.342.6Core i9 13900K10.030.443.9OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.014, N = 4SE +/- 0.031, N = 5SE +/- 0.033, N = 4SE +/- 0.018, N = 3SE +/- 0.028, N = 414.34615.66511.3089.31712.9681. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.05130.10260.15390.20520.25650.2280.1470.1040.1010.117
MinAvgMaxRyzen 9 7950X3D17.462.995.7Ryzen 9 7950X20.6106.8181.4Ryzen 9 5950X17.9108.6145.7Ryzen 7 5800X3D15.992.2135.9Core i9 13900K10.3111.1198.3OpenBenchmarking.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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1530456075SE +/- 0.05, N = 5SE +/- 0.06, N = 5SE +/- 0.03, N = 4SE +/- 0.03, N = 3SE +/- 0.37, N = 560.1466.9044.5029.4255.031. (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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.15820.31640.47460.63280.7910.7030.4500.3930.2710.330
MinAvgMaxRyzen 9 7950X3D20.185.5114.9Ryzen 9 7950X20.8148.5212.2Ryzen 9 5950X26.1113.3140.9Ryzen 7 5800X3D24.9108.4128.7Core i9 13900K10.4166.7265.9OpenBenchmarking.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-bitRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 0.58, N = 5SE +/- 0.41, N = 5SE +/- 0.13, N = 4SE +/- 0.57, N = 4SE +/- 0.13, N = 3832.68867.75542.53697.22698.981. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D369121513.0187.6864.4797.751
MinAvgMaxRyzen 9 7950X3D19.464.086.1Ryzen 9 7950X19.5112.9155.6Ryzen 9 5950X16.8121.1145.7Ryzen 7 5800X3D19.289.9116.2OpenBenchmarking.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 ChromeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K612182430SE +/- 0.36, N = 15SE +/- 0.07, N = 7SE +/- 0.19, N = 6SE +/- 0.19, N = 6SE +/- 0.03, N = 719.7117.6421.8223.2815.341. chrome 110.0.5481.96
MinAvgMaxRyzen 9 7950X3D17.926.247.2Ryzen 9 7950X19.027.450.2Ryzen 9 5950X21.235.156.4Ryzen 7 5800X3D14.928.141.5Core i9 13900K10.116.635.8OpenBenchmarking.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: resizeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.06, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 4SE +/- 0.01, N = 4SE +/- 0.04, N = 412.7012.4613.8313.0912.66
MinAvgMaxRyzen 9 7950X3D19.649.572.4Ryzen 9 7950X18.363.993.5Ryzen 9 5950X22.672.9104.4Ryzen 7 5800X3D14.946.460.4OpenBenchmarking.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 OpenMPRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 1.55, N = 5SE +/- 1.72, N = 4SE +/- 0.52, N = 4SE +/- 0.94, N = 4SE +/- 2.18, N = 5551.29448.95219.78480.78628.961. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K369121510.9137.4843.17310.27712.766
MinAvgMaxRyzen 9 7950X3D15.950.587.1Ryzen 9 7950X20.760.0124.5Ryzen 9 5950X27.269.3126.2Ryzen 7 5800X3D16.046.8100.7Core i9 13900K10.149.3183.9OpenBenchmarking.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-levelsRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.02, N = 4SE +/- 0.01, N = 5SE +/- 0.03, N = 4SE +/- 0.10, N = 4SE +/- 0.01, N = 510.7510.6812.7312.8810.11
MinAvgMaxRyzen 9 7950X3D16.544.056.9Ryzen 9 7950X18.057.779.8Ryzen 9 5950X26.163.684.9Ryzen 7 5800X3D24.542.854.5OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.11, N = 5SE +/- 0.10, N = 5SE +/- 0.05, N = 4SE +/- 0.10, N = 3SE +/- 0.40, N = 570.1074.7348.1336.4366.811. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.21060.42120.63180.84241.0530.9360.5750.4420.3590.460
MinAvgMaxRyzen 9 7950X3D19.474.9117.1Ryzen 9 7950X20.0129.9210.6Ryzen 9 5950X23.6108.8146.5Ryzen 7 5800X3D21.6101.4133.6Core i9 13900K10.3145.2278.1OpenBenchmarking.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: 1e12Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.005, N = 6SE +/- 0.008, N = 7SE +/- 0.014, N = 5SE +/- 0.015, N = 3SE +/- 0.021, N = 56.8486.10910.64817.96811.3271. (CXX) g++ options: -O3
MinAvgMaxRyzen 9 7950X3D19.384.3127.7Ryzen 9 7950X19.8142.4228.6Ryzen 9 5950X17.7102.4131.9Ryzen 7 5800X3D21.7108.8134.4Core i9 13900K10.4162.4269.2OpenBenchmarking.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-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 1.02, N = 5SE +/- 0.74, N = 5SE +/- 1.31, N = 4SE +/- 0.64, N = 4SE +/- 1.91, N = 5257.2248.2190.7174.6229.3-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 64-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468105.6325.1013.8434.5167.133
MinAvgMaxRyzen 9 7950X3D18.945.757.5Ryzen 9 7950X17.148.761.7Ryzen 9 5950X28.549.658.5Ryzen 7 5800X3D16.238.745.3Core i9 13900K10.232.143.2OpenBenchmarking.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 64-QAMRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K140280420560700SE +/- 2.62, N = 5SE +/- 0.79, N = 5SE +/- 3.43, N = 4SE +/- 0.90, N = 4SE +/- 4.06, N = 5635.9614.4511.8470.7618.9-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

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 19Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.010, N = 6SE +/- 0.028, N = 5SE +/- 0.024, N = 5SE +/- 0.003, N = 4SE +/- 0.008, N = 67.4628.43110.42313.2948.323
MinAvgMaxRyzen 9 7950X3D18.158.2124.7Ryzen 9 7950X16.585.5216.8Ryzen 9 5950X13.873.0141.9Ryzen 7 5800X3D20.371.2111.9Core i9 13900K10.286.2266.7OpenBenchmarking.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: rotateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.012, N = 5SE +/- 0.032, N = 5SE +/- 0.014, N = 4SE +/- 0.013, N = 4SE +/- 0.005, N = 59.4979.45311.83612.4559.469
MinAvgMaxRyzen 9 7950X3D18.037.850.8Ryzen 9 7950X18.849.471.3Ryzen 9 5950X28.253.164.3Ryzen 7 5800X3D20.039.349.6OpenBenchmarking.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: 6Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.048, N = 6SE +/- 0.041, N = 6SE +/- 0.040, N = 5SE +/- 0.007, N = 4SE +/- 0.044, N = 57.3357.9085.7635.1146.949
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 6Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.03420.06840.10260.13680.1710.1520.1100.0680.0810.106
MinAvgMaxRyzen 9 7950X3D18.948.366.2Ryzen 9 7950X17.771.7110.3Ryzen 9 5950X23.684.4111.8Ryzen 7 5800X3D19.063.587.1Core i9 13900K10.365.6103.6OpenBenchmarking.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: SlowRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.15, N = 6SE +/- 0.09, N = 6SE +/- 0.03, N = 5SE +/- 0.04, N = 4SE +/- 0.11, N = 679.5189.0264.2247.7072.351. (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: SlowRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.27020.54040.81061.08081.3511.2010.7620.5830.5050.578
MinAvgMaxRyzen 9 7950X3D21.066.293.4Ryzen 9 7950X21.0116.9177.7Ryzen 9 5950X23.1110.1145.7Ryzen 7 5800X3D20.994.4119.8Core i9 13900K10.2125.2190.9OpenBenchmarking.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 2.0.3Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3K6K9K12K15KSE +/- 23.98, N = 7SE +/- 11.39, N = 6SE +/- 8.73, N = 5SE +/- 1.53, N = 5SE +/- 12.29, N = 89024.848487.095160.035579.1311725.461. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200181.14130.3664.8492.59162.39
MinAvgMaxRyzen 9 7950X3D18.949.872.3Ryzen 9 7950X16.365.1101.0Ryzen 9 5950X17.879.6117.2Ryzen 7 5800X3D18.560.388.1Core i9 13900K10.172.2143.1OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K90180270360450SE +/- 0.13, N = 5SE +/- 2.88, N = 5SE +/- 0.26, N = 3SE +/- 0.36, N = 4SE +/- 0.30, N = 3401.30394.40212.53253.07429.211. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D1.22092.44183.66274.88366.10455.4263.2141.7452.621
MinAvgMaxRyzen 9 7950X3D20.374.0102.6Ryzen 9 7950X20.5122.7185.5Ryzen 9 5950X23.0121.8145.8Ryzen 7 5800X3D19.996.6122.8OpenBenchmarking.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: MediumRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.06, N = 6SE +/- 0.12, N = 6SE +/- 0.09, N = 5SE +/- 0.05, N = 4SE +/- 0.11, N = 682.1892.1966.7749.4775.221. (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: MediumRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.28040.56080.84121.12161.4021.2460.7910.6120.5210.595
MinAvgMaxRyzen 9 7950X3D20.266.092.4Ryzen 9 7950X19.1116.6179.9Ryzen 9 5950X17.7109.1145.7Ryzen 7 5800X3D19.994.9121.1Core i9 13900K10.2126.4195.4OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K20406080100SE +/- 0.05, N = 6SE +/- 0.10, N = 7SE +/- 0.07, N = 5SE +/- 0.06, N = 4SE +/- 0.49, N = 6101.11105.3466.7345.53103.671. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.27880.55760.83641.11521.3941.2390.7970.6260.4460.745
MinAvgMaxRyzen 9 7950X3D18.581.6129.0Ryzen 9 7950X17.5132.1226.0Ryzen 9 5950X12.6106.6146.8Ryzen 7 5800X3D24.2102.1132.5Core i9 13900K10.3139.1311.2OpenBenchmarking.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 TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.004, N = 7SE +/- 0.003, N = 7SE +/- 0.001, N = 6SE +/- 0.002, N = 4SE +/- 0.052, N = 75.9855.7067.05913.6646.1361. (CC) gcc options: -static -fopenmp -O3 -march=native
MinAvgMaxRyzen 9 7950X3D18.682.0129.7Ryzen 9 7950X16.4127.7208.4Ryzen 9 5950X20.8102.7145.6Ryzen 7 5800X3D20.286.2106.6Core i9 13900K10.3145.7247.6OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.19, N = 7SE +/- 0.12, N = 7SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.17, N = 7117.57113.1952.6651.33145.061. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.40340.80681.21021.61362.0171.7931.1070.4880.6521.209
MinAvgMaxRyzen 9 7950X3D16.965.6105.5Ryzen 9 7950X18.5102.3177.2Ryzen 9 5950X21.5108.0143.4Ryzen 7 5800X3D19.278.7107.2Core i9 13900K10.1120.0258.5OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 0.68, N = 5SE +/- 0.93, N = 5SE +/- 3.50, N = 4SE +/- 0.10, N = 4SE +/- 0.43, N = 3916.09989.45720.13767.36976.801. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D4812162014.2298.9406.1858.709
MinAvgMaxRyzen 9 7950X3D20.464.486.9Ryzen 9 7950X20.5110.7156.2Ryzen 9 5950X20.7116.4145.7Ryzen 7 5800X3D21.288.1114.8OpenBenchmarking.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: MediumRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.06, N = 7SE +/- 0.09, N = 7SE +/- 0.06, N = 6SE +/- 0.02, N = 4SE +/- 0.17, N = 6129.14143.2097.5854.75125.151. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: MediumRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.42660.85321.27981.70642.1331.8961.3521.1870.6321.210
MinAvgMaxRyzen 9 7950X3D20.768.1129.9Ryzen 9 7950X17.6105.9234.1Ryzen 9 5950X21.582.2136.5Ryzen 7 5800X3D21.486.7129.5Core i9 13900K10.3103.4293.0OpenBenchmarking.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: 10Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.08, N = 7SE +/- 0.05, N = 7SE +/- 0.08, N = 6SE +/- 0.02, N = 6SE +/- 0.03, N = 716.5518.1613.4512.4615.99
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 10Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.08570.17140.25710.34280.42850.3810.2890.1730.2190.293
MinAvgMaxRyzen 9 7950X3D19.843.462.1Ryzen 9 7950X16.862.999.0Ryzen 9 5950X20.177.9107.7Ryzen 7 5800X3D19.656.975.3Core i9 13900K10.254.688.0OpenBenchmarking.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, LosslessRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.011, N = 7SE +/- 0.014, N = 7SE +/- 0.039, N = 6SE +/- 0.019, N = 5SE +/- 0.030, N = 75.4615.2067.59810.9695.6341. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 9 7950X3D19.263.2129.0Ryzen 9 7950X19.293.7233.1Ryzen 9 5950X18.781.8143.3Ryzen 7 5800X3D21.080.0125.5Core i9 13900K10.386.3299.1OpenBenchmarking.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: ScaleRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.028, N = 6SE +/- 0.017, N = 6SE +/- 0.028, N = 5SE +/- 0.013, N = 6SE +/- 0.014, N = 77.3277.1388.5047.8355.394
MinAvgMaxRyzen 9 7950X3D19.146.766.7Ryzen 9 7950X18.163.196.3Ryzen 9 5950X25.669.092.7Ryzen 7 5800X3D18.448.364.5Core i9 13900K10.368.6131.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.018, N = 6SE +/- 0.012, N = 6SE +/- 0.004, N = 6SE +/- 0.003, N = 5SE +/- 0.020, N = 66.8726.6698.2168.5626.580
MinAvgMaxRyzen 9 7950X3D19.944.265.6Ryzen 9 7950X20.660.692.0Ryzen 9 5950X23.563.984.8Ryzen 7 5800X3D16.744.355.8Core i9 13900K10.258.199.1OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.17, N = 7SE +/- 0.09, N = 7SE +/- 0.13, N = 4SE +/- 0.04, N = 4SE +/- 0.66, N = 8125.45121.6256.6854.53153.151. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.43220.86441.29661.72882.1611.9211.1830.5270.6891.291
MinAvgMaxRyzen 9 7950X3D17.965.3107.2Ryzen 9 7950X19.3102.8184.1Ryzen 9 5950X26.2107.6144.1Ryzen 7 5800X3D19.079.1108.3Core i9 13900K10.2118.6268.6OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 2.21, N = 15SE +/- 0.84, N = 9SE +/- 1.07, N = 15SE +/- 4.03, N = 15SE +/- 1.05, N = 10202.69214.20141.99231.47256.611. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.01952.0393.05854.0785.09754.5313.3051.7514.4414.244
MinAvgMaxRyzen 9 7950X3D17.844.775.9Ryzen 9 7950X20.464.8130.5Ryzen 9 5950X20.081.1137.1Ryzen 7 5800X3D20.052.195.2Core i9 13900K10.260.5145.1OpenBenchmarking.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.xzRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.09462.18923.28384.37845.473SE +/- 0.021, N = 20SE +/- 0.021, N = 8SE +/- 0.027, N = 7SE +/- 0.006, N = 7SE +/- 0.005, N = 83.7923.7324.5854.8654.153
MinAvgMaxRyzen 9 7950X3D19.639.261.8Ryzen 9 7950X18.142.465.3Ryzen 9 5950X23.747.066.0Ryzen 7 5800X3D16.536.546.6Core i9 13900K10.129.648.8OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K306090120150SE +/- 0.17, N = 7SE +/- 0.22, N = 7SE +/- 0.21, N = 6SE +/- 0.64, N = 6SE +/- 0.31, N = 6112.98123.0089.4472.2988.151. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.45470.90941.36411.81882.27352.0211.3250.8890.9280.958
MinAvgMaxRyzen 9 7950X3D20.755.985.1Ryzen 9 7950X18.192.9160.5Ryzen 9 5950X24.7100.6145.6Ryzen 7 5800X3D22.777.9111.9Core i9 13900K10.392.0151.0OpenBenchmarking.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 3Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.004, N = 7SE +/- 0.002, N = 7SE +/- 0.009, N = 6SE +/- 0.005, N = 5SE +/- 0.013, N = 75.2634.9166.41210.4974.873
MinAvgMaxRyzen 9 7950X3D17.761.5125.3Ryzen 9 7950X16.996.7213.1Ryzen 9 5950X8.781.9141.8Ryzen 7 5800X3D21.976.9112.3Core i9 13900K10.1104.9266.1OpenBenchmarking.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 7.3.0Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.037, N = 8SE +/- 0.014, N = 8SE +/- 0.010, N = 6SE +/- 0.016, N = 7SE +/- 0.010, N = 74.6594.7476.3876.2335.573
MinAvgMaxRyzen 9 7950X3D16.139.762.5Ryzen 9 7950X18.647.279.7Ryzen 9 5950X17.549.882.5Ryzen 7 5800X3D21.239.256.1OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 1.77, N = 9SE +/- 0.84, N = 9SE +/- 0.95, N = 15SE +/- 4.98, N = 15SE +/- 1.72, N = 15216.38221.43144.00252.67254.211. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.13182.26363.39544.52725.6595.0303.5661.8135.0284.337
MinAvgMaxRyzen 9 7950X3D20.943.074.5Ryzen 9 7950X19.662.1123.8Ryzen 9 5950X20.579.4132.6Ryzen 7 5800X3D18.850.393.5Core i9 13900K10.258.6139.7OpenBenchmarking.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 MP3Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.007, N = 7SE +/- 0.018, N = 8SE +/- 0.041, N = 7SE +/- 0.014, N = 7SE +/- 0.011, N = 85.0904.5725.6096.0494.7621. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
MinAvgMaxRyzen 9 7950X3D20.532.741.8Ryzen 9 7950X18.041.862.2Ryzen 9 5950X18.044.156.5Ryzen 7 5800X3D23.834.842.5Core i9 13900K10.127.142.9OpenBenchmarking.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 GaussianRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.015, N = 9SE +/- 0.011, N = 9SE +/- 0.018, N = 7SE +/- 0.012, N = 6SE +/- 0.054, N = 153.3943.2175.1117.6703.264
MinAvgMaxRyzen 9 7950X3D18.560.2137.6Ryzen 9 7950X20.288.5231.6Ryzen 9 5950X21.083.8141.2Ryzen 7 5800X3D20.081.1125.1Core i9 13900K10.296.0311.2OpenBenchmarking.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 FacadeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K11002200330044005500SE +/- 7.96, N = 8SE +/- 2.92, N = 7SE +/- 4.47, N = 7SE +/- 13.13, N = 7SE +/- 13.88, N = 7364245485081430242731. (CXX) g++ options: -O3
MinAvgMaxRyzen 9 7950X3D20.731.541.9Ryzen 9 7950X19.042.461.9Ryzen 9 5950X16.442.053.2Ryzen 7 5800X3D22.333.943.7Core i9 13900K10.225.643.7OpenBenchmarking.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: 6Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810SE +/- 0.012, N = 9SE +/- 0.005, N = 9SE +/- 0.010, N = 8SE +/- 0.016, N = 6SE +/- 0.049, N = 153.2593.0144.5857.2323.3131. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 9 7950X3D19.259.0134.9Ryzen 9 7950X18.589.4234.1Ryzen 9 5950X21.777.6140.7Ryzen 7 5800X3D21.578.5122.8Core i9 13900K10.298.3300.1OpenBenchmarking.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 CompressionRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.24882.49763.74644.99526.244SE +/- 0.02, N = 8SE +/- 0.01, N = 8SE +/- 0.02, N = 7SE +/- 0.01, N = 7SE +/- 0.02, N = 75.555.444.534.255.061. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.04210.08420.12630.16840.21050.1380.1330.1070.1220.187
MinAvgMaxRyzen 9 7950X3D18.740.158.3Ryzen 9 7950X15.640.961.2Ryzen 9 5950X19.742.555.8Ryzen 7 5800X3D18.134.945.7Core i9 13900K10.127.143.0OpenBenchmarking.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 v2Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1224364860SE +/- 0.42, N = 15SE +/- 0.33, N = 15SE +/- 0.18, N = 9SE +/- 0.06, N = 8SE +/- 0.19, N = 1046.3843.7652.2155.2835.24MIN: 41.15 / MAX: 48.43MIN: 40.54 / MAX: 45.28MIN: 51.27 / MAX: 53.67MIN: 54.74 / MAX: 55.74MIN: 34.74 / MAX: 37.511. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxRyzen 9 7950X3D17.530.856.5Ryzen 9 7950X17.936.759.0Ryzen 9 5950X23.140.152.6Ryzen 7 5800X3D17.933.746.5Core i9 13900K10.123.545.8OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.16, N = 8SE +/- 0.26, N = 8SE +/- 0.17, N = 6SE +/- 0.18, N = 6SE +/- 0.49, N = 9174.36171.0293.7983.85203.221. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.63141.26281.89422.52563.1572.8061.8120.9561.0391.800
MinAvgMaxRyzen 9 7950X3D20.962.1115.9Ryzen 9 7950X20.294.4200.5Ryzen 9 5950X11.698.1145.4Ryzen 7 5800X3D22.180.7120.0Core i9 13900K10.2112.9284.3OpenBenchmarking.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, LosslessRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.20982.41963.62944.83926.049SE +/- 0.031, N = 15SE +/- 0.011, N = 9SE +/- 0.038, N = 8SE +/- 0.018, N = 7SE +/- 0.024, N = 93.3143.1284.4415.3773.2431. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 9 7950X3D19.644.5114.4Ryzen 9 7950X17.958.9195.8Ryzen 9 5950X17.561.9143.8Ryzen 7 5800X3D20.154.8122.5Core i9 13900K10.255.6218.7OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 2.02, N = 15SE +/- 1.80, N = 11SE +/- 0.80, N = 8SE +/- 7.40, N = 15SE +/- 2.48, N = 15231.37243.44142.69295.26273.801. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468105.5464.2861.8976.2735.193
MinAvgMaxRyzen 9 7950X3D15.941.772.2Ryzen 9 7950X18.456.8115.6Ryzen 9 5950X19.675.2118.5Ryzen 7 5800X3D24.547.190.2Core i9 13900K10.252.7128.9OpenBenchmarking.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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.53, N = 9SE +/- 0.73, N = 9SE +/- 0.20, N = 7SE +/- 0.40, N = 6SE +/- 1.00, N = 9212.95215.29120.16109.78229.831. (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 4KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.92521.85042.77563.70084.6264.1122.7641.3761.6772.754
MinAvgMaxRyzen 9 7950X3D19.551.8102.0Ryzen 9 7950X17.777.9180.1Ryzen 9 5950X19.387.3144.1Ryzen 7 5800X3D18.265.5104.5Core i9 13900K10.283.4241.4OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 0.50, N = 9SE +/- 0.45, N = 9SE +/- 0.33, N = 8SE +/- 0.22, N = 7SE +/- 0.72, N = 9193.71211.67141.04102.43183.441. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.78281.56562.34843.13123.9143.4792.3371.6501.2571.831
MinAvgMaxRyzen 9 7950X3D18.255.7112.2Ryzen 9 7950X16.890.6213.7Ryzen 9 5950X19.285.5145.2Ryzen 7 5800X3D17.581.5131.6Core i9 13900K10.2100.2255.5OpenBenchmarking.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: LionRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K8001600240032004000SE +/- 8.03, N = 8SE +/- 2.58, N = 8SE +/- 5.36, N = 7SE +/- 3.96, N = 8SE +/- 2.26, N = 8314335593931361632391. (CXX) g++ options: -O3
MinAvgMaxRyzen 9 7950X3D19.530.941.4Ryzen 9 7950X18.040.960.8Ryzen 9 5950X8.541.363.5Ryzen 7 5800X3D22.233.542.6Core i9 13900K10.024.441.7OpenBenchmarking.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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200SE +/- 0.09, N = 9SE +/- 0.21, N = 9SE +/- 0.15, N = 8SE +/- 0.06, N = 7SE +/- 0.29, N = 9173.02194.48137.5299.07164.741. (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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.70671.41342.12012.82683.53353.1412.1021.5381.2681.604
MinAvgMaxRyzen 9 7950X3D20.255.195.7Ryzen 9 7950X19.792.5189.5Ryzen 9 5950X13.689.4145.7Ryzen 7 5800X3D18.378.1117.2Core i9 13900K10.3102.7211.2OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 1.64, N = 15SE +/- 2.29, N = 15SE +/- 1.18, N = 15SE +/- 1.00, N = 8SE +/- 1.97, N = 10268.71295.75208.24139.98257.551. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.14862.29723.44584.59445.7435.1053.5622.7651.8442.903
MinAvgMaxRyzen 9 7950X3D17.952.6117.2Ryzen 9 7950X18.183.0221.6Ryzen 9 5950X17.975.3144.0Ryzen 7 5800X3D24.475.9130.3Core i9 13900K10.288.7249.7OpenBenchmarking.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: JythonRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K7001400210028003500SE +/- 7.49, N = 9SE +/- 9.21, N = 9SE +/- 7.19, N = 8SE +/- 19.93, N = 14SE +/- 10.55, N = 1022932167282830301634
MinAvgMaxRyzen 9 7950X3D18.637.474.2Ryzen 9 7950X18.148.7117.9Ryzen 9 5950X14.859.7132.7Ryzen 7 5800X3D13.845.595.2Core i9 13900K10.240.6124.9OpenBenchmarking.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-onlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.1252.253.3754.55.625SE +/- 0.007, N = 9SE +/- 0.008, N = 9SE +/- 0.004, N = 7SE +/- 0.005, N = 7SE +/- 0.007, N = 102.6352.7134.8595.0001.967
MinAvgMaxRyzen 9 7950X3D19.346.690.1Ryzen 9 7950X19.963.3134.1Ryzen 9 5950X20.676.4124.2Ryzen 7 5800X3D17.854.186.5OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Room - Acceleration: CPU-onlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.04362.08723.13084.17445.218SE +/- 0.004, N = 9SE +/- 0.005, N = 9SE +/- 0.002, N = 7SE +/- 0.007, N = 7SE +/- 0.005, N = 102.3402.3824.6384.4801.530
MinAvgMaxRyzen 9 7950X3D18.844.691.3Ryzen 9 7950X18.558.3128.7Ryzen 9 5950X19.374.9125.2Ryzen 7 5800X3D17.551.481.5OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350SE +/- 3.12, N = 15SE +/- 1.27, N = 10SE +/- 0.40, N = 8SE +/- 5.19, N = 15SE +/- 0.89, N = 10232.12241.93163.15304.65292.271. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468105.5464.3352.2516.5435.616
MinAvgMaxRyzen 9 7950X3D19.541.973.4Ryzen 9 7950X20.055.8115.5Ryzen 9 5950X21.772.5123.6Ryzen 7 5800X3D22.146.690.2Core i9 13900K10.252.0130.4OpenBenchmarking.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-onlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.13942.27883.41824.55765.697SE +/- 0.004, N = 9SE +/- 0.003, N = 9SE +/- 0.006, N = 7SE +/- 0.007, N = 7SE +/- 0.014, N = 102.4552.3684.3325.0641.940
MinAvgMaxRyzen 9 7950X3D18.252.6122.7Ryzen 9 7950X19.971.6199.9Ryzen 9 5950X17.578.8131.3Ryzen 7 5800X3D18.667.0143.6OpenBenchmarking.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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300SE +/- 0.20, N = 10SE +/- 0.15, N = 10SE +/- 0.10, N = 9SE +/- 0.07, N = 8SE +/- 0.36, N = 10230.10260.54177.47128.80216.381. (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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.99111.98222.97333.96444.95554.4053.0602.1651.6912.312
MinAvgMaxRyzen 9 7950X3D19.552.2101.9Ryzen 9 7950X17.685.2203.5Ryzen 9 5950X17.882.0145.8Ryzen 7 5800X3D17.876.2123.3Core i9 13900K10.293.6225.2OpenBenchmarking.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: CPURyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.58111.16221.74332.32442.9055SE +/- 0.000928, N = 9SE +/- 0.001903, N = 9SE +/- 0.006955, N = 9SE +/- 0.005970, N = 9SE +/- 0.000717, N = 90.6379440.5784201.6925002.5828001.448650MIN: 0.62MIN: 0.56-lpthread - MIN: 1.49-lpthread - MIN: 2.45MIN: 1.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxRyzen 9 7950X3D19.461.9117.4Ryzen 9 7950X18.7107.2222.8Ryzen 9 5950X18.072.3130.2Ryzen 7 5800X3D21.575.3143.9Core i9 13900K10.2107.1246.7OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350SE +/- 0.20, N = 10SE +/- 0.34, N = 11SE +/- 0.24, N = 9SE +/- 0.12, N = 8SE +/- 0.45, N = 11308.28330.42222.44141.85342.531. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K1.28632.57263.85895.14526.43155.7173.9703.0001.8253.721
MinAvgMaxRyzen 9 7950X3D17.053.9127.0Ryzen 9 7950X17.883.2229.7Ryzen 9 5950X15.674.1143.4Ryzen 7 5800X3D14.777.7133.9Core i9 13900K10.492.1296.9OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K100200300400500SE +/- 1.27, N = 11SE +/- 0.99, N = 15SE +/- 0.58, N = 9SE +/- 0.51, N = 8SE +/- 1.05, N = 15381.97391.54219.69158.48446.601. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468108.2385.5652.9262.4496.227
MinAvgMaxRyzen 9 7950X3D20.446.4113.6Ryzen 9 7950X19.570.4208.5Ryzen 9 5950X15.575.1146.0Ryzen 7 5800X3D21.564.7109.7Core i9 13900K10.271.7271.2OpenBenchmarking.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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K70140210280350SE +/- 0.35, N = 11SE +/- 0.22, N = 11SE +/- 0.37, N = 10SE +/- 0.14, N = 9SE +/- 0.29, N = 11281.97318.75220.27171.95282.101. (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 FastRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2468106.0814.2812.9492.5393.573
MinAvgMaxRyzen 9 7950X3D19.146.494.8Ryzen 9 7950X18.074.5192.5Ryzen 9 5950X23.074.7144.3Ryzen 7 5800X3D16.167.7120.3Core i9 13900K10.279.0213.9OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K30060090012001500SE +/- 1.20, N = 10SE +/- 3.15, N = 10SE +/- 1.93, N = 9SE +/- 0.41, N = 9SE +/- 2.53, N = 31408.291507.511028.121041.691426.551. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D71421283528.0319.2412.1315.59
MinAvgMaxRyzen 9 7950X3D18.850.298.6Ryzen 9 7950X19.778.4180.7Ryzen 9 5950X17.884.8145.7Ryzen 7 5800X3D19.366.8120.0OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K120240360480600SE +/- 1.09, N = 12SE +/- 0.48, N = 12SE +/- 0.25, N = 10SE +/- 0.18, N = 9SE +/- 0.92, N = 12455.49453.87231.90204.81536.291. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K369121510.5887.1613.1143.4959.020
MinAvgMaxRyzen 9 7950X3D15.343.0109.9Ryzen 9 7950X19.463.4195.5Ryzen 9 5950X17.874.5145.7Ryzen 7 5800X3D19.158.6108.3Core i9 13900K10.259.5253.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K110220330440550SE +/- 0.61, N = 12SE +/- 0.92, N = 11SE +/- 0.13, N = 9SE +/- 0.31, N = 9SE +/- 0.99, N = 12447.62443.30227.83201.40521.501. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K369121510.3707.0223.0743.4548.709
MinAvgMaxRyzen 9 7950X3D17.043.2108.6Ryzen 9 7950X18.063.1194.3Ryzen 9 5950X20.774.1145.9Ryzen 7 5800X3D18.658.3106.9Core i9 13900K10.259.9251.2OpenBenchmarking.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 ProteinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.091, N = 11SE +/- 0.116, N = 15SE +/- 0.069, N = 11SE +/- 0.015, N = 9SE +/- 0.043, N = 1216.27016.95512.7687.31017.5761. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.07920.15840.23760.31680.3960.3520.2750.2050.1330.269
MinAvgMaxRyzen 9 7950X3D20.246.2127.4Ryzen 9 7950X17.661.7210.2Ryzen 9 5950X22.462.4145.5Ryzen 7 5800X3D19.055.0107.3Core i9 13900K10.265.4274.8OpenBenchmarking.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 100Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K48121620SE +/- 0.10, N = 15SE +/- 0.06, N = 12SE +/- 0.06, N = 11SE +/- 0.03, N = 11SE +/- 0.10, N = 1217.2617.3814.0113.2216.391. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Ryzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.19710.39420.59130.78840.98550.5650.5540.3750.4280.876
MinAvgMaxRyzen 9 7950X3D18.130.557.4Ryzen 9 7950X16.231.460.1Ryzen 9 5950X18.937.356.8Ryzen 7 5800X3D15.130.949.2Core i9 13900K10.118.742.1OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K150300450600750SE +/- 0.89, N = 12SE +/- 0.63, N = 12SE +/- 0.47, N = 11SE +/- 0.71, N = 10SE +/- 0.63, N = 12590.32598.16365.74284.58677.401. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4812162014.30810.1245.8204.99112.249
MinAvgMaxRyzen 9 7950X3D16.941.3118.5Ryzen 9 7950X20.459.1209.1Ryzen 9 5950X19.962.8145.7Ryzen 7 5800X3D22.557.0122.6Core i9 13900K10.255.3240.2OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 3.86, N = 15SE +/- 6.87, N = 15SE +/- 2.17, N = 15SE +/- 2.55, N = 15SE +/- 3.52, N = 15789.41823.43548.92535.90734.091. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K61218243024.4219.0010.1212.8220.11
MinAvgMaxRyzen 9 7950X3D18.932.377.4Ryzen 9 7950X18.943.3132.0Ryzen 9 5950X23.754.3143.6Ryzen 7 5800X3D22.841.8102.7Core i9 13900K10.236.5137.5OpenBenchmarking.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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K2004006008001000SE +/- 2.12, N = 13SE +/- 1.21, N = 13SE +/- 0.86, N = 12SE +/- 0.75, N = 11SE +/- 2.17, N = 13761.85780.94491.08461.59739.381. (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 1080pRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K51015202522.56017.8899.04510.71419.528
MinAvgMaxRyzen 9 7950X3D19.933.882.9Ryzen 9 7950X17.943.7139.4Ryzen 9 5950X21.454.3142.3Ryzen 7 5800X3D19.743.1104.4Core i9 13900K10.137.9149.8OpenBenchmarking.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: DefaultRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K714212835SE +/- 0.08, N = 13SE +/- 0.07, N = 13SE +/- 0.06, N = 12SE +/- 0.05, N = 12SE +/- 0.12, N = 1328.0427.9021.9820.8425.481. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.34110.68221.02331.36441.70551.0030.9820.6200.7091.516
MinAvgMaxRyzen 9 7950X3D17.628.049.8Ryzen 9 7950X17.028.447.8Ryzen 9 5950X19.435.557.2Ryzen 7 5800X3D15.929.443.1Core i9 13900K10.216.841.9OpenBenchmarking.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-onlyRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.07470.14940.22410.29880.3735SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.006, N = 150.1530.1540.2580.3320.177
MinAvgMaxRyzen 9 7950X3D18.427.248.6Ryzen 9 7950X18.131.170.4Ryzen 9 5950X18.239.981.9Ryzen 7 5800X3D15.632.467.3OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor20406080100

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K60120180240300Min: 9.55 / Avg: 80.83 / Max: 143.74Min: 9.26 / Avg: 134.06 / Max: 235.78Min: 2.06 / Avg: 111.33 / Max: 151.5Min: 7.99 / Avg: 93.16 / Max: 145.39Min: 5.12 / Avg: 135.05 / Max: 326.64

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 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.

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.