AMD Ryzen 9 7950X3D Modes On Linux

Ryzen 9 7950X3D benchmarks for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302261-NE-7950X3DMO02
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February 17 2023
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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: 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

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Processor: AMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (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

AMD Ryzen 9 7950X3D Modes On LinuxOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 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 12.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionAMD Ryzen 9 7950X3D Modes On Linux BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)- Python 3.11.1- 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

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AMD Ryzen 9 7950X3D Modes On Linuxstress-ng: CPU Stressstress-ng: IO_uringstress-ng: Cryptostress-ng: Memory Copyingstress-ng: Glibc Qsort Data Sortingstress-ng: Glibc C String Functionsstress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Forkingstress-ng: System V Message Passingstress-ng: Semaphoresstress-ng: Socket Activitystress-ng: Atomicstress-ng: CPU Cachestress-ng: MMAPstress-ng: Mallocstress-ng: MEMFDstress-ng: NUMAstress-ng: SENDFILEstress-ng: Futexstress-ng: Mutexsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsysbench: CPUamg: openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitnatron: Spaceshipaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 4Kkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 13 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 4Kvpxenc: Speed 5 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 4Kx264: Bosphorus 1080px264: Bosphorus 4Kx265: Bosphorus 1080px265: Bosphorus 4Kembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownrav1e: 10rav1e: 6rav1e: 5rav1e: 1simdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetselenium: Octane - Google Chromehpcg: mt-dgemm: Sustained Floating-Point Ratexmrig: Monero - 1Mxmrig: Wownero - 1Monnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timegraphics-magick: HWB Color Spacegraphics-magick: Swirlgraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: Sharpenaskap: Hogbom Clean OpenMPcpuminer-opt: scryptcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Ringcoincpuminer-opt: Deepcoincpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditsindigobench: CPU - Supercarindigobench: CPU - Bedroomluxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Danish Mood - CPUcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedopenems: pyEMS Couplertjbench: Decompression Throughputquantlib: himeno: Poisson Pressure Solvergnuradio: Five Back to Back FIR Filtersgnuradio: Signal Source (Cosine)gnuradio: FIR Filtergnuradio: IIR Filtergnuradio: FM Deemphasis Filtergnuradio: Hilbert Transformluaradio: Five Back to Back FIR Filtersluaradio: FM Deemphasis Filterluaradio: Hilbert Transformluaradio: Complex Phasesysbench: RAM / Memoryaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingwebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivelczero: BLASlczero: Eigencrafty: Elapsed Timegromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsrocksdb: Seq Fillrocksdb: Rand Fillrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runstargate: 44100 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 480000 - 1024stargate: 96000 - 512stargate: 96000 - 1024stargate: 192000 - 512stargate: 192000 - 1024node-express-loadtest: selenium: Speedometer - Google Chromenode-web-tooling: srsran: OFDM_Testliquid-dsp: 8 - 256 - 57liquid-dsp: 16 - 256 - 57liquid-dsp: 32 - 256 - 57phpbench: PHP Benchmark Suiteselenium: Jetstream 2 - Google Chromenumpy: srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMbrl-cad: VGR Performance Metricv-ray: CPUlulesh: namd: ATPase Simulation - 327,506 Atomspennant: leblancbigpennant: sedovbigonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardtensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4pybench: Total For Average Test Timesopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Traceronednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: CPU - mnasnetdraco: Church Facadedraco: Lionselenium: ARES-6 - Google Chromeselenium: WASM collisionDetection - Google Chromeselenium: WASM imageConvolute - Google Chromeselenium: Kraken - Google Chromerenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Savina Reactors.IOrenaissance: Apache Spark ALSrenaissance: Rand Forestrenaissance: Apache Spark Bayesrenaissance: Apache Spark PageRankrenaissance: Scala Dottyrenaissance: Finagle HTTP Requestsrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: ALS Movie Lenstnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2dacapobench: H2dacapobench: Jythonselenium: PSPDFKit WASM - Google Chromerawtherapee: Total Benchmark Timedarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlydarktable: Server Rack - CPU-onlygimp: unsharp-maskgimp: resizegimp: rotategimp: auto-levelsopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directiongegl: Rotate 90 Degreesgegl: Scalegegl: Antialiasgegl: Cartoongegl: Color Enhancegegl: Cropgegl: Wavelet Blurgegl: Reflectgegl: Tile Glasstoktx: Zstd Compression 19toktx: UASTC 3toktx: UASTC 3 + Zstd Compression 19toktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubernnoise: octave-benchmark: selenium: Maze Solver - Google Chrometachyon: Total Timeavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-godot: Time To Compilebuild-mesa: Time To Compilebuild-ffmpeg: Time To Compilebuild-mplayer: Time To Compilenumenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumenta-nab: KNN CADnumenta-nab: Contextual Anomaly Detector OSEblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlydeepspeech: CPUdolfyn: Computational Fluid Dynamicsradiance: Serialradiance: SMP Parallelwireguard: sqlite-speedtest: Timed Time - Size 1,000gcrypt: encode-mp3: WAV To MP3appleseed: Emilyappleseed: Disney Materialappleseed: Material Testerbuild2: Time To Compileprimesieve: 1e12primesieve: 1e13n-queens: Elapsed Timem-queens: Time To Solveunpack-linux: linux-5.19.tar.xzunpack-firefox: firefox-84.0.source.tar.xzpyhpc: CPU - Numpy - 1048576 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingmrbayes: Primate Phylogeny AnalysisAutoPrefer CachePrefer Freq58780.7532571.4043690.407172.31368.054554878.75138021.66122833.1073511.8425423648.143423759.3334995.78212936.16183.32381.2135942000.761281.14578.01484816.524087777.6511172291.29633.1675.6622.6609.2191.2107446.9743758620013.5326.1440664.1323579.677.347.252613.421332.501700.14997.601663.09135.28913.51399.461409.23830.585.9238.38106.78105.96248.22221.0389.07219.50108.4169.2224.1828.3213.191.200.4179.7282.58173.45230.49281.3720.7121.1545.8460.4679.14789.949210.998772.344214.074193.76270.08614.4195.29622.665.80305.83101.10592.13174.66383.36109.37458.64126.22449.83117.8439.8022.6820.1610.10268.2471.39113.2334.2834.470031.995539.740136.030117.0507.3704.6331.1768.641.705.549.148.83950998.3288510.72284116134.419626.112.24453.01355185.54417.0966185.34442.7599474.93569.08131984077.661027.465708.958077.576927.56423235.9451634114461148621691030260551.305639.97425237291547593581101.711110.553841.474161.551977326278713651311.7865.4285.027.9017.574.774.384033.32198.61418.12252.51051.02414.11015.02433.0296.02485.526.02004.914.91968.017290.9819572.978.9518483.072.1018495.361.61337.8560614169.25350.2499081356.54813.01390.7520.01119.7720.21959.1527.5153.71078.412821.256855.3111519.92371.382964.8618967117661628.1217.445.462.290.83367.8940129.146016.04221.695019281825153356672.68516.31416.339144549913987173972814729613141969443323667947132275.83311.62313.677.3394467.9263237.1964017.7267385.2552895.5609093.2808743.6594831100636820.63202625000756130000148536666714877000001270496333.012899.73254.8264.9242.3215.3127.7394766312249039.15280.8172124.8518433.1153081.7015346.4635.5242559.63885.3957423.64512.1196614.69671108.201626.4017797.3500589.51305.510.390.671084.601097.266.126.004.708.014.8059.0896930943388212660498031311398812794811543753545811500685.141720.4608110.6344550.6655170.1488201280.481280.49673.236674.8368.913.813.313.844.641.628.4824.517.034.8211.6014.3211.7712.1281.524.733.37367731967.24230.1018.84373.27732.73454.11874.3391.5790.21566.9475.22083.51126.58108.52035.162192.282174.11142.84316322329313934.8282.4562.6432.3460.15213.11012.5349.46010.64023.202038125.8245714.951843960.472933534.2707.34424.94361.88733.4216.89039.34220.58020.26810.1995.2797.497127.257126.88312.5704.6523.758.992873.66836.2263.2245.4883.28346.574523.312252.372285.52849.38221.21321.96415.34211.5033.4147.15945.22690.68019.90452.54138.4267.61168.20490.1938.5671411.118331.612112.045149.03934.840145.3134.567146.30795884.57987396.91043155.2916.86283.1565.98128.5453.95310.4880.1210.2370.7361.08570.37658865.0131486.8243716.137097.39371.844616386.56137735.11122869.2273184.0425978492.773476176.5535308.63212454.76181.06379.5336157266.331266.52576.94485658.974120615.7011230656.99571.6610.4566.3622.3191.6107434.0643811330013.4826.1140512.3923486.367.357.272613.721335.291702.471009.731659.22135.51912.38401.811406.81830.286.0241.09109.81108.48242.10219.5689.72221.70105.9868.4724.1828.3413.111.210.4179.7982.36173.35229.99281.5620.6921.1645.7860.4079.19787.790209.861773.413213.532194.83870.39414.4025.31122.645.80306.62101.10591.30174.96382.65109.57457.94126.34446.12117.9740.3422.2020.3510.06268.8071.79113.5934.6434.591432.129839.778936.017516.7867.4054.6891.1817.591.876.049.159.57956448.3283010.64250416231.919605.410.793153.42808184.01517.6935188.88242.2674497.88174.50981984077.614877.507978.985457.561897.59681235.7231702116261248621581027261550.084640.64425550291933587911105.251116.023781.074211.631951726242013678311.8195.4255.077.8617.674.784.363967.52210.71423.92158.61046.42428.51012.02410.1299.92476.525.91949.114.61847.017319.6719460.175.7418752.773.6118764.562.01342.2516734577.45163.4407631404.44918.11390.5518.21115.0721.31945.7527.7155.61089.712696.416857.0211495.92530.472970.0418987117639827.9216.955.532.270.84368.2456129.157516.11501.697619261810152316022.67616.11416.328144181513887873965314776010942122463311766950786280.93316.99314.707.3244517.9772557.2085997.7263965.1935285.5499723.3072513.6374611087136720.46204366667751733333147143333314856666671154341326.220958.48220.7222.5204.9223.1126.3396745312809073.59040.8159422.6229932.3875594.1319297.8195.5502358.06335.2925124.13582.0083313.42091109.841622.7517748.5562591.14305.710.390.671082.361093.406.125.984.697.924.8258.9998631593394812967799732061399013155211523769046811536335.154560.4644260.6357670.6646270.1700311276.221286.51685.423683.4798.923.823.333.844.661.638.4724.576.904.7511.4914.3511.7012.1882.014.753.37451735437.36229.0919.33373.27772.73489.01874.1391.5788.21562.2521.12096.11116.28103.62027.280192.247175.71542.24715932314310334.9422.4762.6492.3260.15613.14012.4469.10410.76723.981781123.6636714.671958460.817441934.2367.26424.59862.59934.2506.93339.51420.74020.37611.4465.1308.714127.445126.81412.7694.6533.759.096276.16837.1243.2705.5173.29746.187517.734252.317282.58949.44521.43721.82315.34811.9523.4097.27847.98689.86120.77852.37138.4567.62168.24489.9835.3232511.088360.307114.026147.18734.517143.1414.879145.1509384.78981996.59378655.3536.86883.0675.98428.5504.00710.7750.1230.2360.7411.06770.337566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Stress-NG

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CPU StressAutoPrefer CachePrefer Freq130260390520650597.12597.25579.80

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CryptoAutoPrefer CachePrefer Freq90180270360450420.16421.50412.45

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Memory CopyingAutoPrefer CachePrefer Freq2040608010084.3983.7383.31

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingAutoPrefer CachePrefer Freq0.72271.44542.16812.89083.61353.2123.1013.181

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsAutoPrefer CachePrefer Freq8K16K24K32K40K37481.7037628.9037088.85

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Vector MathAutoPrefer CachePrefer Freq300600900120015001258.301232.121254.41

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Matrix MathAutoPrefer CachePrefer Freq2004006008001000986.831003.97994.20

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: ForkingAutoPrefer CachePrefer Freq2004006008001000773.10775.40765.37

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: System V Message PassingAutoPrefer CachePrefer Freq70K140K210K280K350K302192.38307502.13297618.27

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: SemaphoresAutoPrefer CachePrefer Freq11K22K33K44K55K50074.7150460.6049638.10

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Socket ActivityAutoPrefer CachePrefer Freq70140210280350303.55301.39307.83

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressAutoPrefer CachePrefer Freq13K26K39K52K65KSE +/- 307.96, N = 3SE +/- 137.26, N = 3SE +/- 352.22, N = 358780.7558865.0156651.531. (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: CPU StressAutoPrefer CachePrefer Freq130260390520650597.12597.25579.80
MinAvgMaxAuto17.498.4114.1Prefer Cache19.798.6112.4Prefer Freq20.397.7111.3OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3347 Joules per run.2. Prefer Cache: Approximate power consumption of 3351 Joules per run.3. Prefer Freq: Approximate power consumption of 3322 Joules per run.

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: AtomicAutoPrefer CachePrefer Freq70014002100280035003106.573072.533081.49

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CPU CacheAutoPrefer CachePrefer Freq0.59361.18721.78082.37442.9682.6382.6070.519

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MallocAutoPrefer CachePrefer Freq70K140K210K280K350K307373.02304485.76311714.64

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MEMFDAutoPrefer CachePrefer Freq4812162016.6516.5516.44

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringAutoPrefer CachePrefer Freq7K14K21K28K35KSE +/- 645.93, N = 15SE +/- 592.21, N = 14SE +/- 283.23, N = 1232571.4031486.8229496.761. (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_uringAutoPrefer CachePrefer Freq120240360480600575.56559.19530.42
MinAvgMaxAuto18.956.663.0Prefer Cache19.456.363.3Prefer Freq19.855.662.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 1924 Joules per run.2. Prefer Cache: Approximate power consumption of 1914 Joules per run.3. Prefer Freq: Approximate power consumption of 1886 Joules per run.

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MMAPAutoPrefer CachePrefer Freq1.07962.15923.23884.31845.3984.7774.7874.798

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoAutoPrefer CachePrefer Freq9K18K27K36K45KSE +/- 19.05, N = 3SE +/- 82.33, N = 3SE +/- 33.31, N = 343690.4043716.1343758.761. (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: CryptoAutoPrefer CachePrefer Freq90180270360450420.16421.50412.45
MinAvgMaxAuto21.2104.0116.5Prefer Cache20.4103.7117.2Prefer Freq19.0106.1122.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3536 Joules per run.2. Prefer Cache: Approximate power consumption of 3526 Joules per run.3. Prefer Freq: Approximate power consumption of 3607 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingAutoPrefer CachePrefer Freq15003000450060007500SE +/- 59.45, N = 9SE +/- 23.08, N = 3SE +/- 19.10, N = 37172.317097.397077.091. (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 CopyingAutoPrefer CachePrefer Freq2040608010084.3983.7383.31
MinAvgMaxAuto20.985.098.1Prefer Cache18.484.897.1Prefer Freq17.985.095.7OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2899 Joules per run.2. Prefer Cache: Approximate power consumption of 2910 Joules per run.3. Prefer Freq: Approximate power consumption of 2888 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingAutoPrefer CachePrefer Freq80160240320400SE +/- 0.71, N = 3SE +/- 1.15, N = 3SE +/- 0.94, N = 3368.05371.84373.081. (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 SortingAutoPrefer CachePrefer Freq0.72271.44542.16812.89083.61353.2123.1013.181
MinAvgMaxAuto19.8114.6128.7Prefer Cache18.8119.9136.4Prefer Freq18.2117.3135.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3895 Joules per run.2. Prefer Cache: Approximate power consumption of 4036 Joules per run.3. Prefer Freq: Approximate power consumption of 3948 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsAutoPrefer CachePrefer Freq1000K2000K3000K4000K5000KSE +/- 4595.10, N = 3SE +/- 55352.76, N = 3SE +/- 46384.47, N = 34554878.754616386.564613558.351. (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 FunctionsAutoPrefer CachePrefer Freq8K16K24K32K40K37481.7037628.9037088.85
MinAvgMaxAuto20.8121.5139.8Prefer Cache19.3122.7141.3Prefer Freq17.0124.4141.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 4132 Joules per run.2. Prefer Cache: Approximate power consumption of 4212 Joules per run.3. Prefer Freq: Approximate power consumption of 4229 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 98.70, N = 3SE +/- 118.20, N = 3SE +/- 73.54, N = 3138021.66137735.11138137.061. (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 MathAutoPrefer CachePrefer Freq300600900120015001258.301232.121254.41
MinAvgMaxAuto21.0109.7122.5Prefer Cache20.2111.8128.5Prefer Freq18.9110.1122.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3729 Joules per run.2. Prefer Cache: Approximate power consumption of 3801 Joules per run.3. Prefer Freq: Approximate power consumption of 3744 Joules per run.

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: NUMAAutoPrefer CachePrefer Freq1.15272.30543.45814.61085.76355.0895.0975.123

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 105.15, N = 3SE +/- 79.62, N = 3SE +/- 688.41, N = 3122833.10122869.22123819.501. (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 MathAutoPrefer CachePrefer Freq2004006008001000986.831003.97994.20
MinAvgMaxAuto19.7124.5143.5Prefer Cache18.8122.4142.1Prefer Freq18.2124.5142.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 4274 Joules per run.2. Prefer Cache: Approximate power consumption of 4161 Joules per run.3. Prefer Freq: Approximate power consumption of 4234 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: ForkingAutoPrefer CachePrefer Freq16K32K48K64K80KSE +/- 262.93, N = 3SE +/- 174.31, N = 3SE +/- 268.01, N = 373511.8473184.0472995.041. (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: ForkingAutoPrefer CachePrefer Freq2004006008001000773.10775.40765.37
MinAvgMaxAuto19.195.1106.8Prefer Cache20.094.4106.2Prefer Freq21.095.4107.3OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 3233 Joules per run.2. Prefer Cache: Approximate power consumption of 3240 Joules per run.3. Prefer Freq: Approximate power consumption of 3243 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: System V Message PassingAutoPrefer CachePrefer Freq6M12M18M24M30MSE +/- 221720.67, N = 7SE +/- 518902.00, N = 15SE +/- 15666.97, N = 325423648.1425978492.7725052017.731. (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: System V Message PassingAutoPrefer CachePrefer Freq70K140K210K280K350K302192.38307502.13297618.27
MinAvgMaxAuto18.584.196.0Prefer Cache20.484.5104.2Prefer Freq21.184.294.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2860 Joules per run.2. Prefer Cache: Approximate power consumption of 2867 Joules per run.3. Prefer Freq: Approximate power consumption of 2862 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresAutoPrefer CachePrefer Freq700K1400K2100K2800K3500KSE +/- 32095.22, N = 7SE +/- 214.95, N = 3SE +/- 783.77, N = 33423759.333476176.553476539.491. (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: SemaphoresAutoPrefer CachePrefer Freq11K22K33K44K55K50074.7150460.6049638.10
MinAvgMaxAuto21.068.476.5Prefer Cache20.568.976.2Prefer Freq21.770.077.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2325 Joules per run.2. Prefer Cache: Approximate power consumption of 2365 Joules per run.3. Prefer Freq: Approximate power consumption of 2358 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityAutoPrefer CachePrefer Freq8K16K24K32K40KSE +/- 433.26, N = 15SE +/- 279.96, N = 15SE +/- 393.19, N = 1534995.7835308.6335444.421. (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 ActivityAutoPrefer CachePrefer Freq70140210280350303.55301.39307.83
MinAvgMaxAuto20.0115.3135.0Prefer Cache17.8117.2135.2Prefer Freq20.1115.1134.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3927 Joules per run.2. Prefer Cache: Approximate power consumption of 3983 Joules per run.3. Prefer Freq: Approximate power consumption of 3930 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: AtomicAutoPrefer CachePrefer Freq50K100K150K200K250KSE +/- 178.50, N = 3SE +/- 84.51, N = 3SE +/- 147.40, N = 3212936.16212454.76212527.911. (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: AtomicAutoPrefer CachePrefer Freq70014002100280035003106.573072.533081.49
MinAvgMaxAuto18.468.577.3Prefer Cache21.269.177.3Prefer Freq17.769.077.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2353 Joules per run.2. Prefer Cache: Approximate power consumption of 2351 Joules per run.3. Prefer Freq: Approximate power consumption of 2345 Joules per run.

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MutexAutoPrefer CachePrefer Freq20K40K60K80K100K102249.41103449.38102136.17

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheAutoPrefer CachePrefer Freq4080120160200SE +/- 3.49, N = 15SE +/- 1.74, N = 15SE +/- 0.31, N = 6183.32181.0631.911. (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 CacheAutoPrefer CachePrefer Freq0.59361.18721.78082.37442.9682.6382.6070.519
MinAvgMaxAuto17.069.588.8Prefer Cache20.769.489.0Prefer Freq20.661.589.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2363 Joules per run.2. Prefer Cache: Approximate power consumption of 2361 Joules per run.3. Prefer Freq: Approximate power consumption of 2100 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MMAPAutoPrefer CachePrefer Freq80160240320400SE +/- 0.60, N = 3SE +/- 0.19, N = 3SE +/- 0.31, N = 3381.21379.53381.371. (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: MMAPAutoPrefer CachePrefer Freq1.07962.15923.23884.31845.3984.7774.7874.798
MinAvgMaxAuto19.279.888.9Prefer Cache18.079.388.5Prefer Freq20.879.588.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2713 Joules per run.2. Prefer Cache: Approximate power consumption of 2696 Joules per run.3. Prefer Freq: Approximate power consumption of 2729 Joules per run.

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: FutexAutoPrefer CachePrefer Freq11K22K33K44K55K49850.5350075.8150005.44

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocAutoPrefer CachePrefer Freq8M16M24M32M40MSE +/- 130418.56, N = 3SE +/- 50781.26, N = 3SE +/- 10732.17, N = 335942000.7636157266.3336014622.731. (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: MallocAutoPrefer CachePrefer Freq70K140K210K280K350K307373.02304485.76311714.64
MinAvgMaxAuto21.2116.9135.2Prefer Cache20.0118.7135.0Prefer Freq22.2115.5129.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3976 Joules per run.2. Prefer Cache: Approximate power consumption of 4037 Joules per run.3. Prefer Freq: Approximate power consumption of 3928 Joules per run.

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: SENDFILEAutoPrefer CachePrefer Freq90018002700360045004154.494065.844192.08

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MEMFDAutoPrefer CachePrefer Freq30060090012001500SE +/- 2.10, N = 3SE +/- 2.63, N = 3SE +/- 3.18, N = 31281.141266.521276.151. (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: MEMFDAutoPrefer CachePrefer Freq4812162016.6516.5516.44
MinAvgMaxAuto19.377.085.5Prefer Cache19.176.687.3Prefer Freq21.077.689.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2642 Joules per run.2. Prefer Cache: Approximate power consumption of 2628 Joules per run.3. Prefer Freq: Approximate power consumption of 2639 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: NUMAAutoPrefer CachePrefer Freq130260390520650SE +/- 3.50, N = 14SE +/- 3.65, N = 13SE +/- 4.86, N = 13578.01576.94581.601. (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: NUMAAutoPrefer CachePrefer Freq1.15272.30543.45814.61085.76355.0895.0975.123
MinAvgMaxAuto17.5113.6133.3Prefer Cache16.8113.2133.3Prefer Freq19.1113.5128.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3862 Joules per run.2. Prefer Cache: Approximate power consumption of 3848 Joules per run.3. Prefer Freq: Approximate power consumption of 3851 Joules per run.

Test: x86_64 RdRand

Auto: The test run did not produce a result. E: stress-ng: error: [982014] No stress workers invoked (one or more were unsupported)

Prefer Cache: The test run did not produce a result. E: stress-ng: error: [943105] No stress workers invoked (one or more were unsupported)

Prefer Freq: The test run did not produce a result. E: stress-ng: error: [939716] No stress workers invoked (one or more were unsupported)

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SENDFILEAutoPrefer CachePrefer Freq100K200K300K400K500KSE +/- 821.42, N = 3SE +/- 398.35, N = 3SE +/- 3764.61, N = 3484816.52485658.97489525.421. (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: SENDFILEAutoPrefer CachePrefer Freq90018002700360045004154.494065.844192.08
MinAvgMaxAuto21.0116.7131.1Prefer Cache20.6119.4137.7Prefer Freq18.0116.8130.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3968 Joules per run.2. Prefer Cache: Approximate power consumption of 4061 Joules per run.3. Prefer Freq: Approximate power consumption of 3970 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: FutexAutoPrefer CachePrefer Freq900K1800K2700K3600K4500KSE +/- 41048.77, N = 3SE +/- 54535.09, N = 3SE +/- 37858.78, N = 74087777.654120615.704134347.271. (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: FutexAutoPrefer CachePrefer Freq11K22K33K44K55K49850.5350075.8150005.44
MinAvgMaxAuto19.082.091.9Prefer Cache18.482.392.4Prefer Freq19.182.793.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 2815 Joules per run.2. Prefer Cache: Approximate power consumption of 2798 Joules per run.3. Prefer Freq: Approximate power consumption of 2835 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MutexAutoPrefer CachePrefer Freq2M4M6M8M10MSE +/- 41091.60, N = 3SE +/- 82230.41, N = 3SE +/- 29801.71, N = 311172291.2911230656.9911172285.001. (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: MutexAutoPrefer CachePrefer Freq20K40K60K80K100K102249.41103449.38102136.17
MinAvgMaxAuto20.2109.3121.7Prefer Cache20.2108.6122.0Prefer Freq19.5109.4122.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 3715 Joules per run.2. Prefer Cache: Approximate power consumption of 3691 Joules per run.3. Prefer Freq: Approximate power consumption of 3719 Joules per run.

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.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMAutoPrefer CachePrefer Freq140280420560700SE +/- 2.33, N = 5SE +/- 6.69, N = 15SE +/- 4.08, N = 5633.1571.6563.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMAutoPrefer CachePrefer Freq150300450600750SE +/- 5.81, N = 5SE +/- 1.16, N = 4SE +/- 1.49, N = 4675.6610.4613.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMAutoPrefer CachePrefer Freq140280420560700SE +/- 6.79, N = 4SE +/- 0.12, N = 3SE +/- 1.65, N = 3622.6566.3633.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMAutoPrefer CachePrefer Freq150300450600750SE +/- 3.55, N = 3SE +/- 7.08, N = 15SE +/- 2.79, N = 3609.2622.3682.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMAutoPrefer CachePrefer Freq50100150200250SE +/- 0.39, N = 5SE +/- 1.36, N = 15SE +/- 2.19, N = 5191.2191.6211.51. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

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: CPUAutoPrefer CachePrefer Freq20K40K60K80K100KSE +/- 81.18, N = 3SE +/- 67.91, N = 3SE +/- 32.58, N = 3107446.97107434.06107729.781. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPUAutoPrefer CachePrefer Freq20040060080010001118.521119.361123.78
MinAvgMaxAuto20.996.199.9Prefer Cache19.496.099.8Prefer Freq19.395.9100.1OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 9030 Joules per run.2. Prefer Cache: Approximate power consumption of 9022 Joules per run.3. Prefer Freq: Approximate power consumption of 9043 Joules per run.

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2AutoPrefer CachePrefer Freq1.3M2.6M3.9M5.2M6.5M6022311.886084953.255922043.81

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2AutoPrefer CachePrefer Freq90M180M270M360M450MSE +/- 337440.37, N = 3SE +/- 457867.41, N = 3SE +/- 1311932.65, N = 34375862004381133004354949331. (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 1.2AutoPrefer CachePrefer Freq1.3M2.6M3.9M5.2M6.5M6022311.886084953.255922043.81
MinAvgMaxAuto20.072.799.7Prefer Cache18.272.0103.6Prefer Freq19.873.5104.4OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 1744 Joules per run.2. Prefer Cache: Approximate power consumption of 1752 Joules per run.3. Prefer Freq: Approximate power consumption of 1789 Joules per run.

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pAutoPrefer CachePrefer Freq61218243027.0827.3627.31

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.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.5313.4813.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAutoPrefer CachePrefer Freq612182430SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 326.1426.1126.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAutoPrefer CachePrefer Freq9K18K27K36K45KSE +/- 26.82, N = 3SE +/- 60.47, N = 3SE +/- 18.59, N = 340664.1340512.3940605.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAutoPrefer CachePrefer Freq5K10K15K20K25KSE +/- 11.18, N = 3SE +/- 118.07, N = 3SE +/- 31.27, N = 323579.6723486.3623592.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 37.347.357.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAutoPrefer CachePrefer Freq246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.257.277.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAutoPrefer CachePrefer Freq6001200180024003000SE +/- 3.36, N = 3SE +/- 1.72, N = 3SE +/- 1.52, N = 32613.422613.722621.901. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq30060090012001500SE +/- 1.06, N = 3SE +/- 0.83, N = 3SE +/- 1.63, N = 31332.501335.291333.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAutoPrefer CachePrefer Freq400800120016002000SE +/- 3.62, N = 3SE +/- 1.37, N = 3SE +/- 3.24, N = 31700.141702.471721.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq2004006008001000SE +/- 4.60, N = 3SE +/- 3.98, N = 3SE +/- 3.10, N = 3997.601009.73993.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Natron

OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipAutoPrefer CachePrefer Freq0.01640.03280.04920.06560.0820.0720.0730.072

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080pAutoPrefer CachePrefer Freq4812162014.0814.1414.21

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.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq400800120016002000SE +/- 1.97, N = 3SE +/- 3.63, N = 3SE +/- 2.43, N = 31663.091659.221674.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAutoPrefer CachePrefer Freq306090120150SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.31, N = 3135.28135.51135.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 4KAutoPrefer CachePrefer Freq1.21952.4393.65854.8786.09755.3835.4095.420

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitAutoPrefer CachePrefer Freq369121512.8712.9312.86

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080pAutoPrefer CachePrefer Freq2004006008001000SE +/- 0.76, N = 5SE +/- 0.55, N = 5SE +/- 0.73, N = 5913.51912.38915.111. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080pAutoPrefer CachePrefer Freq4812162014.0814.1414.21
MinAvgMaxAuto20.764.988.7Prefer Cache19.464.585.6Prefer Freq18.264.486.9OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 908 Joules per run.2. Prefer Cache: Approximate power consumption of 903 Joules per run.3. Prefer Freq: Approximate power consumption of 901 Joules per run.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 4KAutoPrefer CachePrefer Freq90180270360450SE +/- 1.15, N = 5SE +/- 1.20, N = 5SE +/- 2.66, N = 5399.46401.81399.601. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 4KAutoPrefer CachePrefer Freq1.21952.4393.65854.8786.09755.3835.4095.420
MinAvgMaxAuto20.674.2103.8Prefer Cache20.474.3103.3Prefer Freq18.773.7102.6OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 980 Joules per run.2. Prefer Cache: Approximate power consumption of 966 Joules per run.3. Prefer Freq: Approximate power consumption of 958 Joules per run.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pAutoPrefer CachePrefer Freq30060090012001500SE +/- 1.39, N = 10SE +/- 1.44, N = 10SE +/- 1.15, N = 101409.231406.811407.911. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pAutoPrefer CachePrefer Freq61218243027.0827.3627.31
MinAvgMaxAuto18.352.0102.9Prefer Cache18.551.4102.3Prefer Freq18.851.6103.0OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 344 Joules per run.2. Prefer Cache: Approximate power consumption of 339 Joules per run.3. Prefer Freq: Approximate power consumption of 345 Joules per run.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitAutoPrefer CachePrefer Freq2004006008001000SE +/- 1.52, N = 5SE +/- 0.54, N = 5SE +/- 1.23, N = 5830.58830.28827.991. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitAutoPrefer CachePrefer Freq369121512.8712.9312.86
MinAvgMaxAuto18.964.688.3Prefer Cache19.164.284.9Prefer Freq11.264.484.2OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 968 Joules per run.2. Prefer Cache: Approximate power consumption of 963 Joules per run.3. Prefer Freq: Approximate power consumption of 953 Joules per run.

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: SpaceshipAutoPrefer CachePrefer Freq246810SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 35.96.05.9
OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipAutoPrefer CachePrefer Freq0.01640.03280.04920.06560.0820.0720.0730.072
MinAvgMaxAuto18.282.0128.7Prefer Cache16.282.2128.6Prefer Freq21.281.9123.2OpenBenchmarking.orgWatts, Fewer Is BetterNatron 2.4.3CPU Power Consumption Monitor40801201602001. Auto: Approximate power consumption of 1777 Joules per run.2. Prefer Cache: Approximate power consumption of 1782 Joules per run.3. Prefer Freq: Approximate power consumption of 1774 Joules per run.

AOM AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.29082.58163.87245.16326.4545.6555.7375.669

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.4640.9281.3921.8562.321.9842.0622.044

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.3252.653.9755.36.6255.8895.7505.775

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.46350.9271.39051.8542.31751.9612.0112.060

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.1122.2243.3364.4485.564.9424.9294.908

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.34110.68221.02331.36441.70551.4951.5071.516

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.14012.28023.42034.56045.70054.9585.0675.048

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.45140.90281.35421.80562.2572.0061.9281.851

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.22250.4450.66750.891.11250.9890.9820.978

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.06280.12560.18840.25120.3140.2780.2770.279

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.08510.17020.25530.34040.42550.3780.3740.378

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.03220.06440.09660.12880.1610.1420.1410.143

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.00320.00640.00960.01280.0160.0140.0140.014

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.00090.00180.00270.00360.00450.0040.0040.004

Kvazaar

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowAutoPrefer CachePrefer Freq0.26980.53960.80941.07921.3491.1911.1961.199

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumAutoPrefer CachePrefer Freq0.28060.56120.84181.12241.4031.2441.2471.245

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastAutoPrefer CachePrefer Freq0.70381.40762.11142.81523.5193.1193.1283.109

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastAutoPrefer CachePrefer Freq0.97831.95662.93493.91324.89154.3394.3484.343

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastAutoPrefer CachePrefer Freq1.34892.69784.04675.39566.74455.9705.9955.956

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowAutoPrefer CachePrefer Freq0.0450.090.1350.180.2250.2000.2000.199

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumAutoPrefer CachePrefer Freq0.04590.09180.13770.18360.22950.2030.2040.203

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastAutoPrefer CachePrefer Freq0.11970.23940.35910.47880.59850.5270.5320.529

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastAutoPrefer CachePrefer Freq0.15860.31720.47580.63440.7930.7050.7040.704

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastAutoPrefer CachePrefer Freq0.22820.45640.68460.91281.1411.0141.0111.013

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq61218243023.7023.9824.29

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.93151.8632.79453.7264.65754.1404.0844.131

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq61218243022.8223.2422.51

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.9361.8722.8083.7444.684.1444.1604.026

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.79221.58442.37663.16883.9613.4813.4843.521

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.21310.42620.63930.85241.06550.9320.9390.947

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.05180.10360.15540.20720.2590.2280.2300.228

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.01420.02840.04260.05680.0710.0630.0630.063

SVT-HEVC

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.04520.09040.13560.18080.2260.2010.2010.201

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.01060.02120.03180.04240.0530.0460.0460.047

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.26472.52943.79415.05886.32355.4845.5815.621

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.28260.56520.84781.13041.4131.2501.2561.240

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq4812162014.2514.2614.10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.62821.25641.88462.51283.1412.7682.7922.790

SVT-VP9

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq2468108.2028.2118.207

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.34180.68361.02541.36721.7091.5031.5191.519

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq369121510.5710.5210.50

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.44010.88021.32031.76042.20051.9461.9401.956

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq369121510.2310.1410.48

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.40320.80641.20961.61282.0161.7771.7871.792

VP9 libvpx Encoding

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.19440.38880.58320.77760.9720.8610.8640.854

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.08780.17560.26340.35120.4390.3900.3780.376

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.07270.14540.21810.29080.36350.3200.3220.323

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.03380.06760.10140.13520.1690.1480.1470.150

x264

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.14682.29363.44044.58725.7345.0775.0975.069

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.18950.3790.56850.7580.94750.8330.8370.842

x265

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.45470.90941.36411.81882.27351.9952.0212.018

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 1080pAutoPrefer CachePrefer Freq50100150200250SE +/- 2.55, N = 15SE +/- 2.64, N = 15SE +/- 2.18, N = 15238.38241.09238.971. (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 1080pAutoPrefer CachePrefer Freq1.29082.58163.87245.16326.4545.6555.7375.669
MinAvgMaxAuto16.842.276.4Prefer Cache18.542.072.6Prefer Freq18.142.273.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 284 Joules per run.2. Prefer Cache: Approximate power consumption of 280 Joules per run.3. Prefer Freq: Approximate power consumption of 281 Joules per run.

rav1e

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 10AutoPrefer CachePrefer Freq0.08710.17420.26130.34840.43550.3870.3780.383

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 4KAutoPrefer CachePrefer Freq20406080100SE +/- 1.08, N = 6SE +/- 1.11, N = 15SE +/- 1.20, N = 15106.78109.81108.601. (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 4KAutoPrefer CachePrefer Freq0.4640.9281.3921.8562.321.9842.0622.044
MinAvgMaxAuto21.453.876.0Prefer Cache10.653.375.9Prefer Freq17.953.176.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 565 Joules per run.2. Prefer Cache: Approximate power consumption of 543 Joules per run.3. Prefer Freq: Approximate power consumption of 546 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq20406080100SE +/- 1.44, N = 15SE +/- 1.26, N = 15SE +/- 0.99, N = 15105.96108.48110.911. (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 4KAutoPrefer CachePrefer Freq0.46350.9271.39051.8542.31751.9612.0112.060
MinAvgMaxAuto17.154.076.2Prefer Cache20.654.076.5Prefer Freq19.753.876.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 555 Joules per run.2. Prefer Cache: Approximate power consumption of 543 Joules per run.3. Prefer Freq: Approximate power consumption of 535 Joules per run.

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonAutoPrefer CachePrefer Freq0.08710.17420.26130.34840.43550.3860.3860.387

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownAutoPrefer CachePrefer Freq0.07220.14440.21660.28880.3610.3160.3210.318

rav1e

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 6AutoPrefer CachePrefer Freq0.03440.06880.10320.13760.1720.1520.1530.151

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 1080pAutoPrefer CachePrefer Freq50100150200250SE +/- 3.46, N = 15SE +/- 2.80, N = 15SE +/- 2.13, N = 15248.22242.10241.381. (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 9 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.3252.653.9755.36.6255.8895.7505.775
MinAvgMaxAuto15.542.175.5Prefer Cache21.342.175.1Prefer Freq20.441.874.3OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 275 Joules per run.2. Prefer Cache: Approximate power consumption of 278 Joules per run.3. Prefer Freq: Approximate power consumption of 276 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq50100150200250SE +/- 2.26, N = 15SE +/- 1.80, N = 15SE +/- 0.85, N = 10221.03219.56217.881. (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 1080pAutoPrefer CachePrefer Freq1.1122.2243.3364.4485.564.9424.9294.908
MinAvgMaxAuto17.644.776.9Prefer Cache20.144.577.3Prefer Freq19.244.876.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 307 Joules per run.2. Prefer Cache: Approximate power consumption of 306 Joules per run.3. Prefer Freq: Approximate power consumption of 309 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq20406080100SE +/- 0.86, N = 15SE +/- 0.85, N = 15SE +/- 0.70, N = 1589.0789.7289.871. (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 4KAutoPrefer CachePrefer Freq0.34110.68221.02331.36441.70551.4951.5071.516
MinAvgMaxAuto19.259.681.7Prefer Cache18.459.582.5Prefer Freq17.859.381.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 675 Joules per run.2. Prefer Cache: Approximate power consumption of 667 Joules per run.3. Prefer Freq: Approximate power consumption of 660 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq50100150200250SE +/- 2.75, N = 15SE +/- 2.36, N = 15SE +/- 1.96, N = 15219.50221.70220.581. (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 1080pAutoPrefer CachePrefer Freq1.14012.28023.42034.56045.70054.9585.0675.048
MinAvgMaxAuto20.044.375.5Prefer Cache18.343.875.4Prefer Freq18.343.776.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor204060801001. Auto: Approximate power consumption of 304 Joules per run.2. Prefer Cache: Approximate power consumption of 300 Joules per run.3. Prefer Freq: Approximate power consumption of 300 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq20406080100SE +/- 0.99, N = 7SE +/- 1.09, N = 15SE +/- 0.90, N = 15108.41105.98102.321. (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 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.45140.90281.35421.80562.2572.0061.9281.851
MinAvgMaxAuto20.354.078.0Prefer Cache21.055.079.0Prefer Freq19.055.377.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100