Xeon Max Linux 6.9 Kernel Benchmarks

2 x Intel Xeon Max 9480 benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2404035-NE-XEONMAXLI15
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Timed Code Compilation 3 Tests
C/C++ Compiler Tests 4 Tests
CPU Massive 13 Tests
Creator Workloads 17 Tests
Database Test Suite 2 Tests
Encoding 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 7 Tests
Imaging 3 Tests
Common Kernel Benchmarks 3 Tests
Large Language Models 2 Tests
Machine Learning 6 Tests
Multi-Core 18 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 6 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 5 Tests
Raytracing 2 Tests
Renderers 4 Tests
Server 3 Tests
Server CPU Tests 8 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

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Linux 6.8
March 29
  1 Day, 17 Hours, 1 Minute
Linux 6.9-rc2
April 01
  1 Day, 15 Hours, 4 Minutes
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Xeon Max Linux 6.9 Kernel BenchmarksOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads)Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS)Intel Device 1bce512GB7682GB INTEL SSDPF2KX076TZASPEED2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200GbUbuntu 23.106.8.0-060800-generic (x86_64)6.9.0-060900rc2-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7GCC 13.2.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelsDesktopDisplay ServerCompilerFile-SystemScreen ResolutionXeon Max Linux 6.9 Kernel Benchmarks PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --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 - Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c000290- Python 3.11.6- Linux 6.8: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Linux 6.9-rc2: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

Linux 6.8 vs. Linux 6.9-rc2 ComparisonPhoronix Test SuiteBaseline+27.9%+27.9%+55.8%+55.8%+83.7%+83.7%22%13.9%10.5%9.9%9.9%8.8%8.3%8%6.6%6.1%5.9%5.9%5.8%5.7%5.4%5.4%5%5%4.9%4.9%4.9%4.6%4.5%4.2%4.1%4.1%4.1%4%3.9%3.9%3.8%3.7%3.4%3.4%3.4%3.3%3.2%3.2%3.1%3%2.8%2.8%2.8%2.8%2.7%2.7%2.5%2.2%2.2%2.2%2.1%2.1%2%2%2%3.6%8.7%6%16.6%7.5%5.6%11.7%25.2%4.7%3.1%9.5%4.4%5.9%R.N.N.T - CPU111.5%fcn-resnet101-11 - CPU - StandardT5 Encoder - CPU - Standard32 - Process13.1%fcn-resnet101-11 - CPU - ParallelPthread10.2%R.v.1.i - CPU - StandardA.G.R.R.0.F - CPUPathtracer - Asian Dragon Obj9.1%A.G.R.R.0.F - CPUPathtracer ISPC - Crown8.7%yolov4 - CPU - Standardbertsquad-12 - CPU - StandardD.B.s - CPUlibx265 - Platform6.3%CPU - 1 - AlexNet1024F.R.C.R.5.F.i - CPU - StandardT5 Encoder - CPU - ParallelSENDFILEG.C.S.FCaffeNet 12-int8 - CPU - StandardCPU - 64 - AlexNet5.1%CPU - 64 - GoogLeNet5%V.D.F - CPUV.D.F - CPUS.V.M.PQ.7.C.E.74.9%Context Switching4.9%P.D.F - CPUP.D.F - CPUArcFace ResNet-100 - CPU - Parallel500MRT.ldr_alb_nrm.3840x2160 - CPU-Only4.5%Default4.4%Pathtracer - Crown4.3%MMAPparticle_volume/pathtracer/real_time4.1%W.P.D.F.I - CPUJPEG - 90super-resolution-10 - CPU - StandardW.P.D.F.I - CPUChess BenchmarkSocket Activity3.9%Pathtracer ISPC - Asian Dragon2 - 1080p - 32 - Path Tracer - CPU3.9%GPT-2 - CPU - ParallelSHA2563.7%gravity_spheres_volume/dim_512/pathtracer/real_timeIO_uring3.7%P.D.F - CPUBosphorus 4K - Faster3.4%llama-2-13b.Q4_0.ggufP.D.F - CPUFishy Cat - CPU-Only3.4%ArcFace ResNet-100 - CPU - StandardR.S.A.F - CPUR.S.A.F - CPU3 - 1080p - 32 - Path Tracer - CPUSemaphores3.1%gravity_spheres_volume/dim_512/scivis/real_timeQ.9.C.E.73%particle_volume/ao/real_time3%Barbershop - CPU-Only2.8%CPU - 16 - ResNet-50RSA4096PNG - 902.8%Cryptollama-2-70b-chat.Q5_0.ggufPathtracer ISPC - Asian Dragon ObjMPI CPU - water_GMX50_bare2.7%Bosphorus 1080p - Faster2.7%16 - Thread3 - 4K - 1 - Path Tracer - CPU2.7%wizardcoder-python-34b-v1.0.Q6_K - CPU2.6%1 - 1080p - 1 - Path Tracer - CPU2.6%R.R.W.R2.5%2 - 1080p - 1 - Path Tracer - CPUZlib2.4%Memory Copying2.3%RT.hdr_alb_nrm.3840x2160 - CPU-Only2.2%C.B.S.A - CPUV.P.M3 - 4K - 16 - Path Tracer - CPUJunkshop - CPU-Only2.1%3 - 1080p - 16 - Path Tracer - CPUMatrix MathdefconfigMonero - 1MH.E.R.F.I - CPU2%CPU - 64 - ResNet-50H.E.R.F.I - CPU2%GPT-2 - CPU - Parallelyolov4 - CPU - StandardT5 Encoder - CPU - ParallelT5 Encoder - CPU - Standardbertsquad-12 - CPU - StandardCaffeNet 12-int8 - CPU - Standardfcn-resnet101-11 - CPU - Parallelfcn-resnet101-11 - CPU - StandardArcFace ResNet-100 - CPU - ParallelArcFace ResNet-100 - CPU - StandardR.v.1.i - CPU - Standardsuper-resolution-10 - CPU - StandardF.R.C.R.5.F.i - CPU - StandardoneDNNONNX RuntimeONNX RuntimeHackbenchONNX RuntimeStress-NGONNX RuntimeOpenVINOEmbreeOpenVINOEmbreeONNX RuntimeONNX RuntimeoneDNNFFmpegTensorFlowMariaDB mariadb-slapONNX RuntimeONNX RuntimeStress-NGStress-NGONNX RuntimeTensorFlowTensorFlowOpenVINOOpenVINOStress-NGWebP2 Image EncodeStress-NGOpenVINOOpenVINOONNX RuntimeY-CruncherIntel Open Image DenoiseWebP2 Image EncodeEmbreeStress-NGOSPRayOpenVINOJPEG-XL libjxlONNX RuntimeOpenVINOStockfishStress-NGEmbreeOSPRay StudioONNX RuntimeOpenSSLOSPRayStress-NGOpenVINOVVenCLlama.cppOpenVINOBlenderONNX RuntimeOpenVINOOpenVINOOSPRay StudioStress-NGOSPRayWebP2 Image EncodeOSPRayBlenderTensorFlowOpenSSLJPEG-XL libjxlStress-NGLlama.cppEmbreeGROMACSVVenCHackbenchOSPRay StudioLlamafileOSPRay StudioRocksDBOSPRay StudioStress-NGStress-NGIntel Open Image DenoiseoneDNNBRL-CADOSPRay StudioBlenderOSPRay StudioStress-NGTimed Linux Kernel CompilationXmrigOpenVINOTensorFlowOpenVINOONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeONNX RuntimeLinux 6.8Linux 6.9-rc2

Xeon Max Linux 6.9 Kernel Benchmarksblender: BMW27 - CPU-Onlyblender: Junkshop - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlybrl-cad: VGR Performance Metriccachebench: Readcachebench: Writecachebench: Read / Modify / Writev-ray: CPUembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objffmpeg: libx264 - Liveffmpeg: libx265 - Liveffmpeg: libx264 - Uploadffmpeg: libx265 - Uploadffmpeg: libx264 - Platformffmpeg: libx265 - Platformffmpeg: libx264 - Video On Demandffmpeg: libx265 - Video On Demanddraco: Liondraco: Church Facadegromacs: MPI CPU - water_GMX50_barehackbench: 16 - Threadhackbench: 16 - Processhackbench: 32 - Processoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyjpegxl-decode: Alljpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100llama-cpp: llama-2-13b.Q4_0.ggufllama-cpp: llama-2-70b-chat.Q5_0.ggufllamafile: mistral-7b-instruct-v0.2.Q8_0 - CPUllamafile: wizardcoder-python-34b-v1.0.Q6_K - CPUcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedmysqlslap: 512mysqlslap: 1024onednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: T5 Encoder - CPU - Parallelonnx: T5 Encoder - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenssl: SHA256openssl: SHA512openssl: RSA4096openssl: RSA4096openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 2 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 1080p - 32 - Path Tracer - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 2 - 1080p - 32 - Path Tracer - CPUospray-studio: 3 - 1080p - 16 - Path Tracer - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUprimesieve: 1e12primesieve: 1e13quicksilver: CORAL2 P1quicksilver: CORAL2 P2rocksdb: Overwriterocksdb: Rand Readrocksdb: Update Randrocksdb: Read Rand Write Randspeedb: Rand Fillspeedb: Rand Readspeedb: Update Randspeedb: Seq Fillspeedb: Rand Fill Syncspeedb: Read Rand Write Randsrsran: PDSCH Processor Benchmark, Throughput Totalstockfish: Chess Benchmarkstress-ng: Hashstress-ng: MMAPstress-ng: NUMAstress-ng: Pipestress-ng: Pollstress-ng: Zlibstress-ng: MEMFDstress-ng: Mutexstress-ng: Cryptostress-ng: Mallocstress-ng: Pthreadstress-ng: AVL Treestress-ng: IO_uringstress-ng: SENDFILEstress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Floating Pointstress-ng: Matrix 3D Mathstress-ng: Memory Copyingstress-ng: Vector Shufflestress-ng: Mixed Schedulerstress-ng: Socket Activitystress-ng: Wide Vector Mathstress-ng: Context Switchingstress-ng: Fused Multiply-Addstress-ng: Vector Floating Pointstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080ptensorflow: CPU - 1 - AlexNettensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 1 - GoogLeNettensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50build-ffmpeg: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-mesa: Time To Compilevvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasterencode-wavpack: WAV To WavPackwebp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless Compressionxmrig: KawPow - 1Mxmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: GhostRider - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: CryptoNight-Femto UPX2 - 1My-cruncher: 1By-cruncher: 500MLinux 6.8Linux 6.9-rc221.8245.6053.9838.09271.9976.20390683913344.69962093036.30241599112.6992605985236.601138.835035.403339.817731.595736.4359181.51112.4311.5022.3142.7642.7442.9444.806129774712.08514.67913.11224.7482.282.321.06386.23232.47730.96934.60432.56225.66626.0021.480.364.500.79602.693601.098.433364.832.613537.086344.500554.798539.0062118.33776.165764821.32748.495101.9019.805147.91321126.3848.22351122.236185.2945.41191353.5732.8950110.781792.746714.265670.9566292.1733.42357541.8271.848071.35994747.0844.43649231.28416.783259.602123.461342.781994.248710.6098111.57069.01538152.6356.55011205.4144.8818123.427642.683332.450330.8209846784206672994073574038204.61358616.4119.92307.74451.1381.90445.9082.872530.0414.58331.23337.2111260.989.921018.4736.285067.4022.0616147.576.8515532.547.171446.4277.34671.6654.9826732.884.056336.7817.524621.3223.683626.4130.8511638.519.5967789.250.783777.5629.61121702.120.3829.733629.2815102.950110.7021210.5041224.28051801186121083441261363353176351440657721724665015696909138677402148368732172043.35639.619681466766773333880103604985183598252120844326499380419389292180327637257446118175817006.86199971717071694.526169.36482.6230377557.9710389186.029670.37688.2628490133.28143967.24163551396.4039599.26810.193468957.591798203.12202073.08154589461.19384748.5429600.0231442.6921085.10576905.9270407.9647927.755874353.6320343491.52204365411.59234669.7480643523.241866.5817859304.385.86548.943127.202123.24618.66217.23213.35346.10495.726.051.88723.1658.5024.1296.3135.30135.1847.03202.3770.1017.24538.462307.50219.5114.9029.84715.91333.9866.3495.900.640.348.350.0732860.832361.236096.69592.332856.333002.213.4166.48322.0246.5653.8239.37279.7475.56399180213341.46732593862.76331198711.0769475899535.078835.734835.650736.503032.829737.4335182.12113.9911.5122.2442.7740.2042.8844.246054776211.76414.29813.35727.9942.232.221.04381.65733.04530.12834.18733.88825.60725.9601.530.374.580.77602.543628.098.413349.632.663492.086364.511664.842458.8104318.02755.7820210195.75753.364105.78279.464968.04142124.3768.90936112.428196.0765.10755402.6692.4823410.600694.333015.411065.9960293.0293.40972571.1901.749731.50300668.6995.41259184.78517.562356.947824.232841.504895.144110.5119122.6018.23121153.5646.51127213.7374.6781123.172743.151134.351229.1107816782841762966549905338147.41396904.0121.93302.77466.4579.23467.7979.002656.4213.89330.73337.7811295.929.891051.3035.145052.7122.1216349.056.7615589.597.141442.2177.57673.4654.8327790.243.896306.4217.584600.9523.973608.2131.0111564.789.6573754.740.713704.3830.20119735.570.3828.875429.069398.869010.509010.823625.17121774183921643495361162354226352939794733674784895706804138077506154158552166873.29939.461691666766896673919683615860833615022068588322816375837479293414330167259603117556216877.66444309917199190.096427.33487.6029814480.6710232390.419446.07688.7628934422.16147978.33161652700.0935919.64808.993346567.801900682.08200671.70150005776.47392750.0929139.6031460.4220605.39569593.0070036.2046123.325908316.0319390362.90200468629.32230503.3485035507.551858.7018740350.565.76048.568126.187123.09818.93418.28210.71341.97471.885.981.90711.7458.8324.8097.5334.86128.7147.96203.6370.5317.28337.698311.74519.8884.9369.52416.15233.0946.3405.650.610.338.450.0733072.533015.536180.79602.732826.132993.813.3356.202OpenBenchmarking.org

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc2510152025SE +/- 0.33, N = 14SE +/- 0.08, N = 321.8222.02

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc21122334455SE +/- 0.47, N = 15SE +/- 0.40, N = 1545.6046.56

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyLinux 6.9-rc2Linux 6.81224364860SE +/- 0.09, N = 3SE +/- 0.10, N = 353.8253.98

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc2918273645SE +/- 0.38, N = 15SE +/- 0.44, N = 438.0939.37

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc260120180240300SE +/- 6.20, N = 8SE +/- 6.67, N = 9271.99279.74

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 6.9-rc2Linux 6.820406080100SE +/- 0.61, N = 15SE +/- 0.83, N = 575.5676.20

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance MetricLinux 6.9-rc2Linux 6.8900K1800K2700K3600K4500K399180239068391. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: ReadLinux 6.8Linux 6.9-rc23K6K9K12K15KSE +/- 0.52, N = 3SE +/- 0.88, N = 313344.7013341.47MIN: 13338.06 / MAX: 13346.23MIN: 13335.31 / MAX: 13343.851. (CC) gcc options: -O3 -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: WriteLinux 6.9-rc2Linux 6.820K40K60K80K100KSE +/- 65.10, N = 3SE +/- 36.95, N = 393862.7693036.30MIN: 54012.69 / MAX: 104121.12MIN: 54037.87 / MAX: 103869.491. (CC) gcc options: -O3 -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Read / Modify / WriteLinux 6.8Linux 6.9-rc220K40K60K80K100KSE +/- 2.71, N = 3SE +/- 71.07, N = 399112.7098711.08MIN: 88982.6 / MAX: 105154.55MIN: 85707.72 / MAX: 105115.441. (CC) gcc options: -O3 -lrt

Chaos Group V-RAY

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

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPULinux 6.8Linux 6.9-rc213K26K39K52K65KSE +/- 530.58, N = 15SE +/- 557.85, N = 35985258995

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: CrownLinux 6.8Linux 6.9-rc2816243240SE +/- 0.59, N = 15SE +/- 1.07, N = 1536.6035.08MIN: 25.71 / MAX: 54.49MIN: 22.8 / MAX: 59.06

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownLinux 6.8Linux 6.9-rc2918273645SE +/- 0.47, N = 4SE +/- 1.44, N = 1238.8435.73MIN: 30.82 / MAX: 52.25MIN: 20.32 / MAX: 57.51

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian DragonLinux 6.9-rc2Linux 6.8816243240SE +/- 0.54, N = 15SE +/- 0.86, N = 1535.6535.40MIN: 24.54 / MAX: 51.88MIN: 23.5 / MAX: 52.61

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon ObjLinux 6.8Linux 6.9-rc2918273645SE +/- 0.92, N = 15SE +/- 0.60, N = 1539.8236.50MIN: 26.64 / MAX: 50.91MIN: 22.66 / MAX: 46.51

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonLinux 6.9-rc2Linux 6.8816243240SE +/- 0.82, N = 15SE +/- 0.77, N = 1332.8331.60MIN: 22.56 / MAX: 48.16MIN: 20.8 / MAX: 52.83

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjLinux 6.9-rc2Linux 6.8918273645SE +/- 0.88, N = 15SE +/- 0.94, N = 1537.4336.44MIN: 27.23 / MAX: 49.01MIN: 22.56 / MAX: 49.05

FFmpeg

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

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: LiveLinux 6.9-rc2Linux 6.84080120160200SE +/- 0.70, N = 3SE +/- 1.29, N = 3182.12181.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveLinux 6.9-rc2Linux 6.8306090120150SE +/- 1.80, N = 15SE +/- 1.36, N = 15113.99112.431. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: UploadLinux 6.9-rc2Linux 6.83691215SE +/- 0.01, N = 3SE +/- 0.01, N = 311.5111.501. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadLinux 6.8Linux 6.9-rc2510152025SE +/- 0.31, N = 3SE +/- 0.26, N = 422.3122.241. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: PlatformLinux 6.9-rc2Linux 6.81020304050SE +/- 0.10, N = 3SE +/- 0.17, N = 342.7742.761. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformLinux 6.8Linux 6.9-rc21020304050SE +/- 0.71, N = 12SE +/- 0.46, N = 1242.7440.201. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Video On DemandLinux 6.8Linux 6.9-rc21020304050SE +/- 0.06, N = 3SE +/- 0.10, N = 342.9442.881. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandLinux 6.8Linux 6.9-rc21020304050SE +/- 0.50, N = 12SE +/- 0.76, N = 944.8044.241. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Google Draco

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

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: LionLinux 6.9-rc2Linux 6.813002600390052006500SE +/- 29.28, N = 3SE +/- 40.84, N = 3605461291. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church FacadeLinux 6.8Linux 6.9-rc217003400510068008500SE +/- 0.88, N = 3SE +/- 9.56, N = 3774777621. (CXX) g++ options: -O3

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareLinux 6.8Linux 6.9-rc23691215SE +/- 0.06, N = 3SE +/- 0.08, N = 312.0911.761. (CXX) g++ options: -O3 -lm

Hackbench

This is a benchmark of Hackbench, a test of the Linux kernel scheduler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 16 - Type: ThreadLinux 6.9-rc2Linux 6.848121620SE +/- 0.14, N = 15SE +/- 0.00, N = 314.3014.681. (CC) gcc options: -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 16 - Type: ProcessLinux 6.8Linux 6.9-rc23691215SE +/- 0.11, N = 3SE +/- 0.19, N = 313.1113.361. (CC) gcc options: -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 32 - Type: ProcessLinux 6.8Linux 6.9-rc2714212835SE +/- 0.27, N = 3SE +/- 0.39, N = 324.7527.991. (CC) gcc options: -lpthread

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyLinux 6.8Linux 6.9-rc20.5131.0261.5392.0522.565SE +/- 0.02, N = 15SE +/- 0.02, N = 152.282.23

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyLinux 6.8Linux 6.9-rc20.5221.0441.5662.0882.61SE +/- 0.03, N = 3SE +/- 0.03, N = 32.322.22

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyLinux 6.8Linux 6.9-rc20.23850.4770.71550.9541.1925SE +/- 0.01, N = 7SE +/- 0.01, N = 151.061.04

JPEG-XL Decoding libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL Decoding libjxl 0.10.1CPU Threads: AllLinux 6.8Linux 6.9-rc280160240320400SE +/- 4.23, N = 3SE +/- 2.26, N = 3386.23381.66

JPEG-XL libjxl

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

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 80Linux 6.9-rc2Linux 6.8816243240SE +/- 0.36, N = 15SE +/- 0.38, N = 333.0532.481. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 90Linux 6.8Linux 6.9-rc2714212835SE +/- 0.28, N = 3SE +/- 0.18, N = 330.9730.131. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 80Linux 6.8Linux 6.9-rc2816243240SE +/- 0.51, N = 12SE +/- 0.53, N = 1534.6034.191. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 90Linux 6.9-rc2Linux 6.8816243240SE +/- 0.38, N = 15SE +/- 0.37, N = 333.8932.561. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 100Linux 6.8Linux 6.9-rc2612182430SE +/- 0.15, N = 3SE +/- 0.21, N = 325.6725.611. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 100Linux 6.8Linux 6.9-rc2612182430SE +/- 0.11, N = 3SE +/- 0.08, N = 326.0025.961. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

Llama.cpp

Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufLinux 6.9-rc2Linux 6.80.34430.68861.03291.37721.7215SE +/- 0.02, N = 3SE +/- 0.01, N = 31.531.481. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufLinux 6.9-rc2Linux 6.80.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 30.370.361. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Llamafile

Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPULinux 6.9-rc2Linux 6.81.03052.0613.09154.1225.1525SE +/- 0.03, N = 3SE +/- 0.04, N = 34.584.50

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPULinux 6.8Linux 6.9-rc20.17780.35560.53340.71120.889SE +/- 0.01, N = 4SE +/- 0.00, N = 30.790.77

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Compression SpeedLinux 6.8Linux 6.9-rc2130260390520650SE +/- 1.15, N = 3SE +/- 0.16, N = 3602.69602.541. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression SpeedLinux 6.9-rc2Linux 6.88001600240032004000SE +/- 18.57, N = 3SE +/- 44.31, N = 33628.03601.01. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Compression SpeedLinux 6.8Linux 6.9-rc220406080100SE +/- 0.06, N = 3SE +/- 0.06, N = 398.4398.411. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Decompression SpeedLinux 6.8Linux 6.9-rc27001400210028003500SE +/- 33.92, N = 3SE +/- 34.17, N = 33364.83349.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Compression SpeedLinux 6.9-rc2Linux 6.8816243240SE +/- 0.07, N = 3SE +/- 0.08, N = 332.6632.611. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression SpeedLinux 6.8Linux 6.9-rc28001600240032004000SE +/- 16.01, N = 3SE +/- 57.81, N = 33537.03492.01. (CC) gcc options: -O3

MariaDB mariadb-slap

This is a MariaDB MySQL database server benchmark making use of mysqlslap (mariadb-slap). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB mariadb-slap 11.5Clients: 512Linux 6.9-rc2Linux 6.820406080100SE +/- 0.87, N = 9SE +/- 0.41, N = 386861. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB mariadb-slap 11.5Clients: 1024Linux 6.9-rc2Linux 6.8816243240SE +/- 1.41, N = 6SE +/- 1.23, N = 936341. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

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 3.4Harness: IP Shapes 1D - Engine: CPULinux 6.8Linux 6.9-rc21.01512.03023.04534.06045.0755SE +/- 0.04580, N = 3SE +/- 0.05180, N = 124.500554.51166MIN: 3.52MIN: 3.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 3D - Engine: CPULinux 6.8Linux 6.9-rc21.08962.17923.26884.35845.448SE +/- 0.02352, N = 3SE +/- 0.02357, N = 34.798534.84245MIN: 3.98MIN: 4.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Convolution Batch Shapes Auto - Engine: CPULinux 6.9-rc2Linux 6.83691215SE +/- 0.09863, N = 15SE +/- 0.03328, N = 38.810439.00621MIN: 6.25MIN: 8.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_1d - Engine: CPULinux 6.9-rc2Linux 6.8510152025SE +/- 0.14, N = 3SE +/- 0.23, N = 1518.0318.34MIN: 13.29MIN: 10.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPULinux 6.9-rc2Linux 6.8246810SE +/- 0.04472, N = 3SE +/- 0.10591, N = 155.782026.16576MIN: 3.81MIN: 3.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Training - Engine: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KSE +/- 22.69, N = 3SE +/- 498.89, N = 134821.3210195.75MIN: 4659.99MIN: 4568.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Inference - Engine: CPULinux 6.8Linux 6.9-rc2160320480640800SE +/- 7.46, N = 3SE +/- 6.16, N = 9748.50753.36MIN: 677.68MIN: 652.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.820406080100SE +/- 1.34, N = 15SE +/- 1.16, N = 3105.78101.901. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.8246810SE +/- 0.08546, N = 3SE +/- 0.07338, N = 38.041427.913211. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.8246810SE +/- 0.10643, N = 13SE +/- 0.16273, N = 158.909368.223511. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.84080120160200SE +/- 2.39, N = 14SE +/- 3.10, N = 12196.08185.291. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.890180270360450SE +/- 3.01, N = 3SE +/- 14.02, N = 15402.67353.571. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc23691215SE +/- 0.04, N = 3SE +/- 0.05, N = 310.7810.601. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.848121620SE +/- 0.54, N = 15SE +/- 0.50, N = 1215.4114.271. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.860120180240300SE +/- 2.09, N = 3SE +/- 2.79, N = 15293.03292.171. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.8120240360480600SE +/- 5.63, N = 3SE +/- 6.47, N = 15571.19541.831. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.80.33820.67641.01461.35281.691SE +/- 0.03151, N = 12SE +/- 0.04472, N = 151.503001.359941. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.81.21782.43563.65344.87126.089SE +/- 0.05231, N = 3SE +/- 0.20811, N = 125.412594.436491. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.848121620SE +/- 0.17, N = 3SE +/- 0.23, N = 317.5616.781. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.8612182430SE +/- 0.48, N = 15SE +/- 0.43, N = 1224.2323.461. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.820406080100SE +/- 1.23, N = 3SE +/- 0.92, N = 395.1494.251. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.8306090120150SE +/- 3.02, N = 15SE +/- 2.58, N = 12122.60111.571. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: ParallelLinux 6.9-rc2Linux 6.8306090120150SE +/- 1.50, N = 3SE +/- 0.93, N = 3153.56152.641. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.850100150200250SE +/- 0.80, N = 3SE +/- 2.99, N = 15213.74205.411. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2612182430SE +/- 0.13, N = 3SE +/- 0.07, N = 323.4323.171. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardLinux 6.9-rc2Linux 6.8816243240SE +/- 0.25, N = 3SE +/- 0.40, N = 334.3532.451. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. The system/openssl test profiles relies on benchmarking the system/OS-supplied openssl binary rather than the pts/openssl test profile that uses the locally-built OpenSSL for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256Linux 6.8Linux 6.9-rc220000M40000M60000M80000M100000MSE +/- 767626108.54, N = 3SE +/- 717052715.91, N = 1284678420667816782841761. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512Linux 6.8Linux 6.9-rc26000M12000M18000M24000M30000MSE +/- 92272355.83, N = 3SE +/- 252323355.66, N = 329940735740296654990531. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096Linux 6.8Linux 6.9-rc28K16K24K32K40KSE +/- 46.27, N = 3SE +/- 90.23, N = 338204.638147.41. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096Linux 6.9-rc2Linux 6.8300K600K900K1200K1500KSE +/- 833.27, N = 3SE +/- 19064.62, N = 31396904.01358616.41. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

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 2024.0Model: Face Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.8306090120150SE +/- 0.55, N = 3SE +/- 0.33, N = 3121.93119.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.870140210280350SE +/- 1.30, N = 3SE +/- 0.84, N = 3302.77307.74MIN: 181.55 / MAX: 894.73MIN: 183.58 / MAX: 728.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.8100200300400500SE +/- 1.20, N = 3SE +/- 2.33, N = 3466.45451.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.820406080100SE +/- 0.20, N = 3SE +/- 0.43, N = 379.2381.90MIN: 50.1 / MAX: 290.06MIN: 49.43 / MAX: 345.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPULinux 6.9-rc2Linux 6.8100200300400500SE +/- 3.72, N = 3SE +/- 3.09, N = 3467.79445.901. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPULinux 6.9-rc2Linux 6.820406080100SE +/- 0.62, N = 3SE +/- 0.57, N = 379.0082.87MIN: 49.24 / MAX: 319.95MIN: 51.69 / MAX: 529.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.86001200180024003000SE +/- 25.96, N = 3SE +/- 16.72, N = 32656.422530.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.848121620SE +/- 0.14, N = 3SE +/- 0.10, N = 313.8914.58MIN: 9.12 / MAX: 90.57MIN: 9.5 / MAX: 109.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc270140210280350SE +/- 0.75, N = 3SE +/- 0.82, N = 3331.23330.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc270140210280350SE +/- 0.74, N = 3SE +/- 0.81, N = 3337.21337.78MIN: 261.24 / MAX: 615.09MIN: 253.21 / MAX: 781.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPULinux 6.9-rc2Linux 6.82K4K6K8K10KSE +/- 26.72, N = 3SE +/- 23.83, N = 311295.9211260.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPULinux 6.9-rc2Linux 6.83691215SE +/- 0.02, N = 3SE +/- 0.02, N = 39.899.92MIN: 7.63 / MAX: 36.57MIN: 7.45 / MAX: 33.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPULinux 6.9-rc2Linux 6.82004006008001000SE +/- 6.69, N = 3SE +/- 9.82, N = 31051.301018.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPULinux 6.9-rc2Linux 6.8816243240SE +/- 0.23, N = 3SE +/- 0.35, N = 335.1436.28MIN: 25.25 / MAX: 437.27MIN: 24.78 / MAX: 205.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc211002200330044005500SE +/- 9.46, N = 3SE +/- 18.34, N = 35067.405052.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc2510152025SE +/- 0.04, N = 3SE +/- 0.08, N = 322.0622.12MIN: 15.51 / MAX: 86.25MIN: 15.73 / MAX: 71.51. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.84K8K12K16K20KSE +/- 107.94, N = 3SE +/- 194.69, N = 316349.0516147.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPULinux 6.9-rc2Linux 6.8246810SE +/- 0.05, N = 3SE +/- 0.08, N = 36.766.85MIN: 4.36 / MAX: 70.91MIN: 4.47 / MAX: 51.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPULinux 6.9-rc2Linux 6.83K6K9K12K15KSE +/- 25.09, N = 3SE +/- 132.85, N = 315589.5915532.541. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPULinux 6.9-rc2Linux 6.8246810SE +/- 0.00, N = 3SE +/- 0.07, N = 37.147.17MIN: 5.79 / MAX: 44.66MIN: 5.78 / MAX: 54.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc230060090012001500SE +/- 1.59, N = 3SE +/- 5.16, N = 31446.421442.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc220406080100SE +/- 0.09, N = 3SE +/- 0.28, N = 377.3477.57MIN: 56.48 / MAX: 158.67MIN: 57.16 / MAX: 148.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPULinux 6.9-rc2Linux 6.8150300450600750SE +/- 3.16, N = 3SE +/- 5.75, N = 3673.46671.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPULinux 6.9-rc2Linux 6.81224364860SE +/- 0.25, N = 3SE +/- 0.47, N = 354.8354.98MIN: 34.71 / MAX: 375.04MIN: 33.9 / MAX: 423.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPULinux 6.9-rc2Linux 6.86K12K18K24K30KSE +/- 155.42, N = 3SE +/- 285.82, N = 427790.2426732.881. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPULinux 6.9-rc2Linux 6.80.91131.82262.73393.64524.5565SE +/- 0.01, N = 3SE +/- 0.05, N = 43.894.05MIN: 2.64 / MAX: 47.09MIN: 2.67 / MAX: 52.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc214002800420056007000SE +/- 18.88, N = 3SE +/- 23.77, N = 36336.786306.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc248121620SE +/- 0.06, N = 3SE +/- 0.07, N = 317.5217.58MIN: 11.97 / MAX: 108.98MIN: 12.03 / MAX: 66.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPULinux 6.8Linux 6.9-rc210002000300040005000SE +/- 54.03, N = 3SE +/- 29.05, N = 34621.324600.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPULinux 6.8Linux 6.9-rc2612182430SE +/- 0.17, N = 3SE +/- 0.20, N = 323.6823.97MIN: 11.64 / MAX: 175.69MIN: 11.24 / MAX: 358.11. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPULinux 6.8Linux 6.9-rc28001600240032004000SE +/- 3.14, N = 3SE +/- 10.89, N = 33626.413608.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPULinux 6.8Linux 6.9-rc2714212835SE +/- 0.03, N = 3SE +/- 0.09, N = 330.8531.01MIN: 24.82 / MAX: 82.03MIN: 24.42 / MAX: 90.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KSE +/- 20.55, N = 3SE +/- 28.95, N = 311638.5111564.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc23691215SE +/- 0.02, N = 3SE +/- 0.03, N = 39.599.65MIN: 7.62 / MAX: 27.98MIN: 7.62 / MAX: 34.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 6.9-rc2Linux 6.816K32K48K64K80KSE +/- 1055.18, N = 3SE +/- 711.41, N = 1573754.7467789.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 6.9-rc2Linux 6.80.17550.3510.52650.7020.8775SE +/- 0.03, N = 3SE +/- 0.01, N = 150.710.78MIN: 0.32 / MAX: 74.71MIN: 0.3 / MAX: 138.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc28001600240032004000SE +/- 10.67, N = 3SE +/- 8.36, N = 33777.563704.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc2714212835SE +/- 0.08, N = 3SE +/- 0.07, N = 329.6130.20MIN: 25.51 / MAX: 92.13MIN: 22.08 / MAX: 107.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc230K60K90K120K150KSE +/- 1455.69, N = 15SE +/- 1149.56, N = 15121702.12119735.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc20.08550.1710.25650.3420.4275SE +/- 0.01, N = 15SE +/- 0.00, N = 150.380.38MIN: 0.23 / MAX: 46.5MIN: 0.24 / MAX: 50.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeLinux 6.8Linux 6.9-rc2714212835SE +/- 0.11, N = 3SE +/- 0.19, N = 329.7328.88

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeLinux 6.8Linux 6.9-rc2714212835SE +/- 0.26, N = 3SE +/- 0.33, N = 329.2829.07

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/pathtracer/real_timeLinux 6.8Linux 6.9-rc220406080100SE +/- 1.85, N = 12SE +/- 1.98, N = 9102.9598.87

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/ao/real_timeLinux 6.8Linux 6.9-rc23691215SE +/- 0.14, N = 15SE +/- 0.05, N = 310.7010.51

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeLinux 6.9-rc2Linux 6.83691215SE +/- 0.07, N = 3SE +/- 0.08, N = 1510.8210.50

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeLinux 6.9-rc2Linux 6.8612182430SE +/- 0.20, N = 3SE +/- 0.41, N = 1225.1724.28

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.8400800120016002000SE +/- 22.91, N = 15SE +/- 40.26, N = 1517741801

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.8400800120016002000SE +/- 26.21, N = 3SE +/- 13.93, N = 1118391861

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc25001000150020002500SE +/- 21.99, N = 4SE +/- 26.16, N = 1321082164

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc27K14K21K28K35KSE +/- 294.16, N = 3SE +/- 454.99, N = 33441234953

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.813K26K39K52K65KSE +/- 567.54, N = 7SE +/- 443.96, N = 156116261363

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc28K16K24K32K40KSE +/- 302.37, N = 15SE +/- 483.46, N = 33531735422

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc214K28K42K56K70KSE +/- 591.53, N = 7SE +/- 885.61, N = 36351463529

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.89K18K27K36K45KSE +/- 252.89, N = 3SE +/- 626.71, N = 123979440657

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc216K32K48K64K80KSE +/- 506.90, N = 3SE +/- 855.02, N = 157217273367

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc2100200300400500SE +/- 3.71, N = 3SE +/- 2.33, N = 3466478

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.8110220330440550SE +/- 2.33, N = 3SE +/- 5.26, N = 5489501

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc2120240360480600SE +/- 4.36, N = 15SE +/- 4.85, N = 15569570

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.815003000450060007500SE +/- 15.17, N = 3SE +/- 83.68, N = 368046909

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.83K6K9K12K15KSE +/- 180.26, N = 3SE +/- 112.81, N = 91380713867

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc216003200480064008000SE +/- 105.66, N = 3SE +/- 118.69, N = 1574027506

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc23K6K9K12K15KSE +/- 268.32, N = 12SE +/- 235.77, N = 151483615415

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.82K4K6K8K10KSE +/- 26.21, N = 3SE +/- 70.21, N = 385528732

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.9-rc2Linux 6.84K8K12K16K20KSE +/- 156.23, N = 6SE +/- 101.18, N = 31668717204

Primesieve

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12Linux 6.9-rc2Linux 6.80.75511.51022.26533.02043.7755SE +/- 0.044, N = 3SE +/- 0.024, N = 113.2993.3561. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13Linux 6.9-rc2Linux 6.8918273645SE +/- 0.09, N = 3SE +/- 0.06, N = 339.4639.621. (CXX) g++ options: -O3

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1Linux 6.9-rc2Linux 6.81.5M3M4.5M6M7.5MSE +/- 46491.34, N = 3SE +/- 67589.78, N = 6691666768146671. (CXX) g++ options: -fopenmp -O3 -march=native

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2Linux 6.9-rc2Linux 6.81.4M2.8M4.2M5.6M7MSE +/- 91964.82, N = 9SE +/- 74194.56, N = 9668966766773331. (CXX) g++ options: -fopenmp -O3 -march=native

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: OverwriteLinux 6.9-rc2Linux 6.880K160K240K320K400KSE +/- 3053.81, N = 3SE +/- 881.98, N = 33919683880101. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadLinux 6.9-rc2Linux 6.880M160M240M320M400MSE +/- 1447290.34, N = 3SE +/- 1573786.50, N = 33615860833604985181. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Update RandomLinux 6.9-rc2Linux 6.880K160K240K320K400KSE +/- 1522.72, N = 3SE +/- 1470.46, N = 33615023598251. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write RandomLinux 6.8Linux 6.9-rc2500K1000K1500K2000K2500KSE +/- 17412.72, N = 3SE +/- 22543.45, N = 5212084420685881. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

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

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random FillLinux 6.8Linux 6.9-rc270K140K210K280K350KSE +/- 2148.02, N = 3SE +/- 3492.28, N = 33264993228161. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadLinux 6.8Linux 6.9-rc280M160M240M320M400MSE +/- 1002006.26, N = 3SE +/- 4146957.10, N = 33804193893758374791. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomLinux 6.9-rc2Linux 6.860K120K180K240K300KSE +/- 3235.16, N = 3SE +/- 3488.80, N = 32934142921801. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential FillLinux 6.9-rc2Linux 6.870K140K210K280K350KSE +/- 1955.03, N = 3SE +/- 1183.38, N = 33301673276371. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fill SyncLinux 6.9-rc2Linux 6.860K120K180K240K300KSE +/- 3603.61, N = 3SE +/- 1490.88, N = 32596032574461. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomLinux 6.8Linux 6.9-rc2300K600K900K1200K1500KSE +/- 8674.90, N = 11SE +/- 13609.90, N = 3118175811755621. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

srsRAN Project

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240219Test: PDSCH Processor Benchmark, Throughput TotalLinux 6.8Linux 6.9-rc24K8K12K16K20KSE +/- 263.34, N = 15SE +/- 377.19, N = 1217006.816877.61. (CXX) g++ options: -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -O3 -fno-trapping-math -fno-math-errno -ldl

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkLinux 6.9-rc2Linux 6.814M28M42M56M70MSE +/- 2705883.43, N = 9SE +/- 2993041.97, N = 964443099619997171. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: HashLinux 6.9-rc2Linux 6.84M8M12M16M20MSE +/- 192774.29, N = 3SE +/- 82496.53, N = 317199190.0917071694.521. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: MMAPLinux 6.9-rc2Linux 6.814002800420056007000SE +/- 66.09, N = 15SE +/- 70.88, N = 146427.336169.361. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: NUMALinux 6.9-rc2Linux 6.8110220330440550SE +/- 5.89, N = 4SE +/- 4.27, N = 3487.60482.621. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: PipeLinux 6.8Linux 6.9-rc27M14M21M28M35MSE +/- 749025.19, N = 15SE +/- 2106194.07, N = 1530377557.9729814480.671. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: PollLinux 6.8Linux 6.9-rc22M4M6M8M10MSE +/- 37074.52, N = 3SE +/- 30731.99, N = 310389186.0210232390.411. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: ZlibLinux 6.8Linux 6.9-rc22K4K6K8K10KSE +/- 25.13, N = 3SE +/- 124.93, N = 39670.379446.071. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: MEMFDLinux 6.9-rc2Linux 6.8150300450600750SE +/- 5.94, N = 8SE +/- 14.68, N = 15688.76688.261. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: MutexLinux 6.9-rc2Linux 6.86M12M18M24M30MSE +/- 294297.65, N = 3SE +/- 281178.86, N = 328934422.1628490133.281. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: CryptoLinux 6.9-rc2Linux 6.830K60K90K120K150KSE +/- 2039.96, N = 15SE +/- 1720.03, N = 15147978.33143967.241. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: MallocLinux 6.8Linux 6.9-rc240M80M120M160M200MSE +/- 201545.00, N = 3SE +/- 3675496.40, N = 12163551396.40161652700.091. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: PthreadLinux 6.8Linux 6.9-rc28K16K24K32K40KSE +/- 49.70, N = 3SE +/- 450.35, N = 1539599.2635919.641. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVL TreeLinux 6.8Linux 6.9-rc22004006008001000SE +/- 6.53, N = 3SE +/- 2.13, N = 3810.19808.991. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: IO_uringLinux 6.8Linux 6.9-rc2700K1400K2100K2800K3500KSE +/- 31595.27, N = 3SE +/- 43339.28, N = 153468957.593346567.801. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: SENDFILELinux 6.9-rc2Linux 6.8400K800K1200K1600K2000KSE +/- 5873.31, N = 3SE +/- 609.53, N = 31900682.081798203.121. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: CPU StressLinux 6.8Linux 6.9-rc240K80K120K160K200KSE +/- 569.84, N = 3SE +/- 335.84, N = 3202073.08200671.701. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: SemaphoresLinux 6.8Linux 6.9-rc230M60M90M120M150MSE +/- 1498916.25, N = 3SE +/- 1330349.25, N = 3154589461.19150005776.471. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Matrix MathLinux 6.9-rc2Linux 6.880K160K240K320K400KSE +/- 9278.38, N = 12SE +/- 4925.11, N = 15392750.09384748.541. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Floating PointLinux 6.8Linux 6.9-rc26K12K18K24K30KSE +/- 632.70, N = 12SE +/- 214.66, N = 1129600.0229139.601. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Matrix 3D MathLinux 6.9-rc2Linux 6.87K14K21K28K35KSE +/- 437.41, N = 15SE +/- 669.33, N = 1531460.4231442.691. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Memory CopyingLinux 6.8Linux 6.9-rc25K10K15K20K25KSE +/- 178.25, N = 3SE +/- 155.03, N = 1021085.1020605.391. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector ShuffleLinux 6.8Linux 6.9-rc2120K240K360K480K600KSE +/- 1416.85, N = 3SE +/- 1897.90, N = 3576905.92569593.001. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Mixed SchedulerLinux 6.8Linux 6.9-rc215K30K45K60K75KSE +/- 153.71, N = 3SE +/- 281.29, N = 370407.9670036.201. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Socket ActivityLinux 6.8Linux 6.9-rc210K20K30K40K50KSE +/- 79.93, N = 3SE +/- 21.40, N = 347927.7546123.321. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Wide Vector MathLinux 6.9-rc2Linux 6.81.3M2.6M3.9M5.2M6.5MSE +/- 55746.31, N = 15SE +/- 72950.92, N = 45908316.035874353.631. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Context SwitchingLinux 6.8Linux 6.9-rc24M8M12M16M20MSE +/- 178479.09, N = 8SE +/- 265846.30, N = 320343491.5219390362.901. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Fused Multiply-AddLinux 6.8Linux 6.9-rc240M80M120M160M200MSE +/- 6187723.80, N = 12SE +/- 3824188.11, N = 15204365411.59200468629.321. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Floating PointLinux 6.8Linux 6.9-rc250K100K150K200K250KSE +/- 5616.14, N = 12SE +/- 8579.53, N = 12234669.74230503.341. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Glibc C String FunctionsLinux 6.9-rc2Linux 6.820M40M60M80M100MSE +/- 1504028.14, N = 15SE +/- 2138024.53, N = 1385035507.5580643523.241. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Glibc Qsort Data SortingLinux 6.8Linux 6.9-rc2400800120016002000SE +/- 4.40, N = 3SE +/- 4.16, N = 31866.581858.701. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: System V Message PassingLinux 6.9-rc2Linux 6.84M8M12M16M20MSE +/- 35075.39, N = 3SE +/- 189741.33, N = 1518740350.5617859304.381. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

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 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc21.31962.63923.95885.27846.598SE +/- 0.035, N = 3SE +/- 0.051, N = 155.8655.7601. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc21122334455SE +/- 1.10, N = 12SE +/- 1.18, N = 1548.9448.571. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc2306090120150SE +/- 5.13, N = 15SE +/- 5.21, N = 15127.20126.191. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc2306090120150SE +/- 3.82, N = 12SE +/- 5.42, N = 15123.25123.101. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 1080pLinux 6.9-rc2Linux 6.8510152025SE +/- 0.21, N = 3SE +/- 0.13, N = 1518.9318.661. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetLinux 6.9-rc2Linux 6.848121620SE +/- 0.25, N = 3SE +/- 0.25, N = 1218.2817.23

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: AlexNetLinux 6.8Linux 6.9-rc250100150200250SE +/- 1.58, N = 15SE +/- 1.89, N = 15213.35210.71

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: AlexNetLinux 6.8Linux 6.9-rc280160240320400SE +/- 2.86, N = 15SE +/- 5.16, N = 15346.10341.97

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetLinux 6.8Linux 6.9-rc2110220330440550SE +/- 6.05, N = 3SE +/- 5.17, N = 15495.72471.88

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetLinux 6.8Linux 6.9-rc2246810SE +/- 0.13, N = 12SE +/- 0.14, N = 156.055.98

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50Linux 6.9-rc2Linux 6.80.42750.8551.28251.712.1375SE +/- 0.03, N = 15SE +/- 0.03, N = 151.901.88

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetLinux 6.8Linux 6.9-rc2160320480640800SE +/- 9.01, N = 3SE +/- 6.62, N = 7723.16711.74

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: GoogLeNetLinux 6.9-rc2Linux 6.81326395265SE +/- 1.24, N = 12SE +/- 1.31, N = 1258.8358.50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: ResNet-50Linux 6.9-rc2Linux 6.8612182430SE +/- 0.28, N = 15SE +/- 0.30, N = 324.8024.12

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetLinux 6.9-rc2Linux 6.820406080100SE +/- 1.10, N = 15SE +/- 1.27, N = 1297.5396.31

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: ResNet-50Linux 6.8Linux 6.9-rc2816243240SE +/- 0.48, N = 15SE +/- 0.42, N = 1535.3034.86

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetLinux 6.8Linux 6.9-rc2306090120150SE +/- 0.94, N = 3SE +/- 1.70, N = 15135.18128.71

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50Linux 6.9-rc2Linux 6.81122334455SE +/- 0.42, N = 3SE +/- 0.54, N = 1247.9647.03

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetLinux 6.9-rc2Linux 6.84080120160200SE +/- 1.95, N = 3SE +/- 2.20, N = 12203.63202.37

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50Linux 6.9-rc2Linux 6.81632486480SE +/- 0.47, N = 3SE +/- 0.38, N = 370.5370.10

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 6.1Time To CompileLinux 6.8Linux 6.9-rc248121620SE +/- 0.39, N = 15SE +/- 0.39, N = 1517.2517.28

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigLinux 6.9-rc2Linux 6.8918273645SE +/- 0.37, N = 6SE +/- 0.36, N = 637.7038.46

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigLinux 6.8Linux 6.9-rc270140210280350SE +/- 3.84, N = 3SE +/- 1.26, N = 3307.50311.75

Timed Mesa Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileLinux 6.8Linux 6.9-rc2510152025SE +/- 0.51, N = 15SE +/- 0.39, N = 1519.5119.89

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastLinux 6.9-rc2Linux 6.81.11062.22123.33184.44245.553SE +/- 0.077, N = 12SE +/- 0.075, N = 104.9364.9021. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterLinux 6.8Linux 6.9-rc23691215SE +/- 0.200, N = 12SE +/- 0.172, N = 159.8479.5241. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FastLinux 6.9-rc2Linux 6.848121620SE +/- 0.07, N = 3SE +/- 0.11, N = 316.1515.911. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FasterLinux 6.8Linux 6.9-rc2816243240SE +/- 0.29, N = 15SE +/- 0.36, N = 1533.9933.091. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.7WAV To WavPackLinux 6.9-rc2Linux 6.8246810SE +/- 0.019, N = 5SE +/- 0.023, N = 56.3406.349

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultLinux 6.8Linux 6.9-rc21.32752.6553.98255.316.6375SE +/- 0.11, N = 15SE +/- 0.09, N = 155.905.651. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7Linux 6.8Linux 6.9-rc20.1440.2880.4320.5760.72SE +/- 0.01, N = 3SE +/- 0.01, N = 40.640.611. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7Linux 6.8Linux 6.9-rc20.07650.1530.22950.3060.3825SE +/- 0.00, N = 3SE +/- 0.00, N = 30.340.331. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Linux 6.9-rc2Linux 6.8246810SE +/- 0.07, N = 3SE +/- 0.11, N = 158.458.351. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionLinux 6.9-rc2Linux 6.80.01580.03160.04740.06320.079SE +/- 0.00, N = 3SE +/- 0.00, N = 30.070.071. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MLinux 6.9-rc2Linux 6.87K14K21K28K35KSE +/- 137.96, N = 3SE +/- 68.36, N = 333072.532860.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MLinux 6.9-rc2Linux 6.87K14K21K28K35KSE +/- 181.84, N = 3SE +/- 320.50, N = 1333015.532361.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MLinux 6.9-rc2Linux 6.88K16K24K32K40KSE +/- 490.33, N = 3SE +/- 245.88, N = 336180.736096.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MLinux 6.9-rc2Linux 6.82K4K6K8K10KSE +/- 42.79, N = 3SE +/- 31.05, N = 39602.79592.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MLinux 6.8Linux 6.9-rc27K14K21K28K35KSE +/- 49.86, N = 3SE +/- 160.32, N = 332856.332826.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MLinux 6.8Linux 6.9-rc27K14K21K28K35KSE +/- 110.64, N = 3SE +/- 170.37, N = 333002.232993.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Y-Cruncher

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

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BLinux 6.9-rc2Linux 6.83691215SE +/- 0.24, N = 15SE +/- 0.30, N = 1513.3413.42

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MLinux 6.9-rc2Linux 6.8246810SE +/- 0.083, N = 15SE +/- 0.143, N = 126.2026.483

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - Xeon Max Linux 6.9 Kernel BenchmarksLinux 6.9-rc2Linux 6.8306090120150147.76146.99

236 Results Shown

Blender:
  BMW27 - CPU-Only
  Junkshop - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
BRL-CAD
CacheBench:
  Read
  Write
  Read / Modify / Write
Chaos Group V-RAY
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
FFmpeg:
  libx264 - Live
  libx265 - Live
  libx264 - Upload
  libx265 - Upload
  libx264 - Platform
  libx265 - Platform
  libx264 - Video On Demand
  libx265 - Video On Demand
Google Draco:
  Lion
  Church Facade
GROMACS
Hackbench:
  16 - Thread
  16 - Process
  32 - Process
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
JPEG-XL Decoding libjxl
JPEG-XL libjxl:
  PNG - 80
  PNG - 90
  JPEG - 80
  JPEG - 90
  PNG - 100
  JPEG - 100
Llama.cpp:
  llama-2-13b.Q4_0.gguf
  llama-2-70b-chat.Q5_0.gguf
Llamafile:
  mistral-7b-instruct-v0.2.Q8_0 - CPU
  wizardcoder-python-34b-v1.0.Q6_K - CPU
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
MariaDB mariadb-slap:
  512
  1024
oneDNN:
  IP Shapes 1D - CPU
  IP Shapes 3D - CPU
  Convolution Batch Shapes Auto - CPU
  Deconvolution Batch shapes_1d - CPU
  Deconvolution Batch shapes_3d - CPU
  Recurrent Neural Network Training - CPU
  Recurrent Neural Network Inference - CPU
ONNX Runtime:
  GPT-2 - CPU - Parallel
  yolov4 - CPU - Parallel
  yolov4 - CPU - Standard
  T5 Encoder - CPU - Parallel
  T5 Encoder - CPU - Standard
  bertsquad-12 - CPU - Parallel
  bertsquad-12 - CPU - Standard
  CaffeNet 12-int8 - CPU - Parallel
  CaffeNet 12-int8 - CPU - Standard
  fcn-resnet101-11 - CPU - Parallel
  fcn-resnet101-11 - CPU - Standard
  ArcFace ResNet-100 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Standard
  ResNet50 v1-12-int8 - CPU - Parallel
  ResNet50 v1-12-int8 - CPU - Standard
  super-resolution-10 - CPU - Parallel
  super-resolution-10 - CPU - Standard
  Faster R-CNN R-50-FPN-int8 - CPU - Parallel
  Faster R-CNN R-50-FPN-int8 - CPU - Standard
OpenSSL:
  SHA256
  SHA512
  RSA4096
  RSA4096
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Face Detection Retail FP16 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Noise Suppression Poconet-Like FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16 - CPU:
    FPS
    ms
  Person Re-Identification Retail FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
OSPRay:
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  2 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
  2 - 4K - 16 - Path Tracer - CPU
  2 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
  1 - 1080p - 1 - Path Tracer - CPU
  2 - 1080p - 1 - Path Tracer - CPU
  3 - 1080p - 1 - Path Tracer - CPU
  1 - 1080p - 16 - Path Tracer - CPU
  1 - 1080p - 32 - Path Tracer - CPU
  2 - 1080p - 16 - Path Tracer - CPU
  2 - 1080p - 32 - Path Tracer - CPU
  3 - 1080p - 16 - Path Tracer - CPU
  3 - 1080p - 32 - Path Tracer - CPU
Primesieve:
  1e12
  1e13
Quicksilver:
  CORAL2 P1
  CORAL2 P2
RocksDB:
  Overwrite
  Rand Read
  Update Rand
  Read Rand Write Rand
Speedb:
  Rand Fill
  Rand Read
  Update Rand
  Seq Fill
  Rand Fill Sync
  Read Rand Write Rand
srsRAN Project
Stockfish
Stress-NG:
  Hash
  MMAP
  NUMA
  Pipe
  Poll
  Zlib
  MEMFD
  Mutex
  Crypto
  Malloc
  Pthread
  AVL Tree
  IO_uring
  SENDFILE
  CPU Stress
  Semaphores
  Matrix Math
  Floating Point
  Matrix 3D Math
  Memory Copying
  Vector Shuffle
  Mixed Scheduler
  Socket Activity
  Wide Vector Math
  Context Switching
  Fused Multiply-Add
  Vector Floating Point
  Glibc C String Functions
  Glibc Qsort Data Sorting
  System V Message Passing
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
TensorFlow:
  CPU - 1 - AlexNet
  CPU - 16 - AlexNet
  CPU - 32 - AlexNet
  CPU - 64 - AlexNet
  CPU - 1 - GoogLeNet
  CPU - 1 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 16 - ResNet-50
  CPU - 32 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 64 - GoogLeNet
  CPU - 64 - ResNet-50
  CPU - 256 - GoogLeNet
  CPU - 256 - ResNet-50
Timed FFmpeg Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed Mesa Compilation
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
WavPack Audio Encoding
WebP2 Image Encode:
  Default
  Quality 75, Compression Effort 7
  Quality 95, Compression Effort 7
  Quality 100, Compression Effort 5
  Quality 100, Lossless Compression
Xmrig:
  KawPow - 1M
  Monero - 1M
  Wownero - 1M
  GhostRider - 1M
  CryptoNight-Heavy - 1M
  CryptoNight-Femto UPX2 - 1M
Y-Cruncher:
  1B
  500M
Geometric Mean Of All Test Results