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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

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

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Linux 6.8
March 29
  1 Day, 17 Hours, 1 Minute
Linux 6.9-rc2
April 01
  1 Day, 15 Hours, 4 Minutes
Invert Hiding All Results Option
  1 Day, 16 Hours, 2 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

Linux 6.8

Processor: 2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads), Motherboard: Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Network: 2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb

OS: Ubuntu 23.10, Kernel: 6.8.0-060800-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c000290
Python Notes: Python 3.11.6
Security Notes: 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

OS: Ubuntu 23.10, Kernel: 6.9.0-060900rc2-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c000290
Python Notes: Python 3.11.6
Security Notes: 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

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%5.9%4.4%9.5%3.1%4.7%25.2%11.7%5.6%7.5%16.6%6%8.7%3.6%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%F.R.C.R.5.F.i - CPU - Standardsuper-resolution-10 - CPU - StandardR.v.1.i - CPU - StandardArcFace ResNet-100 - CPU - StandardArcFace ResNet-100 - CPU - Parallelfcn-resnet101-11 - CPU - Standardfcn-resnet101-11 - CPU - ParallelCaffeNet 12-int8 - CPU - Standardbertsquad-12 - CPU - StandardT5 Encoder - CPU - StandardT5 Encoder - CPU - Parallelyolov4 - CPU - StandardGPT-2 - CPU - ParalleloneDNNONNX 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 Benchmarkshackbench: 32 - Processstress-ng: Pthreadopenvino: Age Gender Recognition Retail 0013 FP16 - CPUffmpeg: libx265 - Platformtensorflow: CPU - 1 - AlexNetonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: T5 Encoder - CPU - Parallelstress-ng: SENDFILEonnx: CaffeNet 12-int8 - CPU - Standardtensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - GoogLeNetopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUstress-ng: System V Message Passingwebp2: Quality 75, Compression Effort 7stress-ng: Context Switchingopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUonnx: ArcFace ResNet-100 - CPU - Paralleloidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlystress-ng: MMAPopenvino: Weld Porosity Detection FP16-INT8 - CPUjpegxl: JPEG - 90onnx: super-resolution-10 - CPU - Standardopenvino: Weld Porosity Detection FP16-INT8 - CPUstress-ng: Socket Activityonnx: GPT-2 - CPU - Parallelopenssl: SHA256ospray: gravity_spheres_volume/dim_512/pathtracer/real_timestress-ng: IO_uringopenvino: Person Detection FP16 - CPUllama-cpp: llama-2-13b.Q4_0.ggufopenvino: Person Detection FP16 - CPUblender: Fishy Cat - CPU-Onlyopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUstress-ng: Semaphoresospray: gravity_spheres_volume/dim_512/scivis/real_timewebp2: Quality 95, Compression Effort 7ospray: particle_volume/ao/real_timetensorflow: CPU - 16 - ResNet-50openssl: RSA4096jpegxl: PNG - 90stress-ng: Cryptollama-cpp: llama-2-70b-chat.Q5_0.ggufgromacs: MPI CPU - water_GMX50_barevvenc: Bosphorus 1080p - Fasterhackbench: 16 - Threadospray-studio: 3 - 4K - 1 - Path Tracer - CPUllamafile: wizardcoder-python-34b-v1.0.Q6_K - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUrocksdb: Read Rand Write Randospray-studio: 2 - 1080p - 1 - Path Tracer - CPUstress-ng: Zlibstress-ng: Memory Copyingoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyonednn: Convolution Batch Shapes Auto - CPUbrl-cad: VGR Performance Metricospray-studio: 3 - 4K - 16 - Path Tracer - CPUblender: Junkshop - CPU-Onlyospray-studio: 3 - 1080p - 16 - Path Tracer - CPUbuild-linux-kernel: defconfigxmrig: Monero - 1Mopenvino: Handwritten English Recognition FP16-INT8 - CPUtensorflow: CPU - 64 - ResNet-50openvino: Handwritten English Recognition FP16-INT8 - CPUoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyhackbench: 16 - Processospray: gravity_spheres_volume/dim_512/ao/real_timesvt-av1: Preset 4 - Bosphorus 4Kllamafile: mistral-7b-instruct-v0.2.Q8_0 - CPUjpegxl: PNG - 80primesieve: 1e12onednn: Deconvolution Batch shapes_1d - CPUonnx: bertsquad-12 - CPU - Parallelopenvino: Face Detection FP16 - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Face Detection FP16 - CPUonnx: yolov4 - CPU - Paralleltensorflow: CPU - 256 - AlexNetospray-studio: 1 - 4K - 16 - Path Tracer - CPUstress-ng: Mutexospray-studio: 1 - 1080p - 16 - Path Tracer - CPUstress-ng: Pollvvenc: Bosphorus 1080p - Fastquicksilver: CORAL2 P1svt-av1: Preset 4 - Bosphorus 1080pv-ray: CPUbuild-linux-kernel: allmodconfigopenvino: Weld Porosity Detection FP16 - CPUcompress-lz4: 9 - Decompression Speedstress-ng: Vector Shuffletensorflow: CPU - 32 - GoogLeNetffmpeg: libx265 - Video On Demandtensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 16 - AlexNetopenvino: Weld Porosity Detection FP16 - CPUdraco: Lionopenvino: Noise Suppression Poconet-Like FP16 - CPUspeedb: Rand Readtensorflow: CPU - 32 - AlexNetjpegxl-decode: Allwebp2: Quality 100, Compression Effort 5ospray-studio: 2 - 4K - 1 - Path Tracer - CPUspeedb: Rand Fillonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelstress-ng: NUMArocksdb: Overwriteonnx: ResNet50 v1-12-int8 - CPU - Parallelopenssl: SHA512blender: BMW27 - CPU-Onlyonednn: IP Shapes 3D - CPUcachebench: Writeblender: Pabellon Barcelona - CPU-Onlyspeedb: Rand Fill Syncspeedb: Seq Fillcompress-lz4: 1 - Decompression Speedstress-ng: Hashospray: particle_volume/scivis/real_timestress-ng: CPU Stressvvenc: Bosphorus 4K - Fastonednn: Recurrent Neural Network Inference - CPUxmrig: KawPow - 1Mopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUtensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50onnx: super-resolution-10 - CPU - Parallelstress-ng: Wide Vector Mathstress-ng: Mixed Schedulerspeedb: Read Rand Write Randopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUrocksdb: Update Randcompress-lz4: 3 - Decompression Speedopenvino: Noise Suppression Poconet-Like FP16 - CPUospray-studio: 1 - 1080p - 32 - Path Tracer - CPUstress-ng: Glibc Qsort Data Sortingspeedb: Update Randopenvino: Face Detection Retail FP16-INT8 - CPUcachebench: Read / Modify / Writeprimesieve: 1e13openvino: Face Detection Retail FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUffmpeg: libx264 - Liveospray-studio: 1 - 4K - 32 - Path Tracer - CPUffmpeg: libx265 - Uploadopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUrocksdb: Rand Readopenvino: Road Segmentation ADAS FP16-INT8 - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUblender: Classroom - CPU-Onlyonnx: CaffeNet 12-int8 - CPU - Parallelopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUonednn: IP Shapes 1D - CPUxmrig: Wownero - 1Mjpegxl: PNG - 100draco: Church Facadequicksilver: CORAL2 P2ospray-studio: 3 - 1080p - 1 - Path Tracer - CPUopenvino: Face Detection FP16-INT8 - CPUjpegxl: JPEG - 100compress-lz4: 9 - Compression Speedopenvino: Face Detection FP16-INT8 - CPUopenssl: RSA4096stress-ng: AVL Treeencode-wavpack: WAV To WavPackffmpeg: libx264 - Video On Demandxmrig: GhostRider - 1Mxmrig: CryptoNight-Heavy - 1Mffmpeg: libx264 - Uploadxmrig: CryptoNight-Femto UPX2 - 1Mcompress-lz4: 1 - Compression Speedcachebench: Readospray-studio: 2 - 4K - 32 - Path Tracer - CPUffmpeg: libx264 - Platformcompress-lz4: 3 - Compression Speedopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUmysqlslap: 512webp2: Quality 100, Lossless Compressiononnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Parallelonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: GPT-2 - CPU - Parallelopenvino: Age Gender Recognition Retail 0013 FP16 - CPUblender: Barbershop - CPU-Onlystress-ng: Glibc C String Functionsstress-ng: Vector Floating Pointstress-ng: Fused Multiply-Addstress-ng: Matrix 3D Mathstress-ng: Floating Pointstress-ng: Matrix Mathstress-ng: Mallocstress-ng: MEMFDstress-ng: Pipetensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 1 - GoogLeNetmysqlslap: 1024ospray-studio: 2 - 1080p - 32 - Path Tracer - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 1 - Path Tracer - CPUonednn: Recurrent Neural Network Training - CPUonednn: Deconvolution Batch shapes_3d - CPUy-cruncher: 500My-cruncher: 1Bbuild-mesa: Time To Compilebuild-ffmpeg: Time To Compilestockfish: Chess Benchmarkospray: particle_volume/pathtracer/real_timevvenc: Bosphorus 4K - Fastersvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Kembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Crownembree: Pathtracer - Crownsrsran: PDSCH Processor Benchmark, Throughput Totalwebp2: Defaultjpegxl: JPEG - 80ffmpeg: libx265 - LiveLinux 6.8Linux 6.9-rc224.74839599.2667789.2542.7417.2332.4503185.2941798203.12541.827495.72135.182530.0414.5817859304.380.6420343491.52445.9082.8716.78322.326169.364.0532.562205.41426732.8847927.75101.9018467842066724.28053468957.59451.131.4881.9038.0936.281018.4717204154589461.1910.504120.3429.733624.121358616.430.969143967.240.3612.08533.98614.67921080.7946621208445019670.3721085.102.289.0062139068394065745.60873238.46232361.229.6147.033777.561.0613.11210.702125.8654.5032.4773.35618.337710.7817119.9272172121702.12307.747.91321723.163441228490133.28690910389186.0215.913681466718.66259852307.5026.853537.0576905.9296.3144.8035.30213.3516147.57612923.68380419389346.10386.2328.35186132649923.4276482.6238801094.24872994073574021.824.7985393036.30241576.202574463276373601.017071694.5229.2815202073.084.902748.49532860.811638.519.59202.3770.10152.6355874353.6370407.96118175830.853626.416336.783598253364.84621.32138671866.582921807.1799112.69926039.61915532.5417.52181.516136322.3111260.989.9236049851877.343531753.98292.1731446.425067.4054.9822.06671.664.5005536096.625.66677476677333569337.2126.00232.61331.2338204.6810.196.34942.949592.332856.311.5033002.2602.6913344.6996206351442.7698.430.38860.0730.820942.68334.881816.550119.01538111.570610.609842.781923.461359.6021231.2844.43649747.0841.359941.848073.4235770.956614.265692.74672.89501353.5735.41191122.2368.22351126.3849.805140.78271.9980643523.24234669.74204365411.5931442.6929600.02384748.54163551396.40688.2630377557.9758.501.886.053414836740218014821.326.165766.48313.41619.51117.24561999717102.95019.847123.246127.20248.94336.435931.595739.817735.403338.835036.601117006.85.9034.604112.4327.99435919.6473754.7440.2018.2834.3512196.0761900682.08571.190471.88128.712656.4213.8918740350.560.6119390362.90467.7979.0017.56232.226427.333.8933.888213.73727790.2446123.32105.78278167828417625.17123346567.80466.451.5379.2339.3735.141051.3016687150005776.4710.82360.3328.875424.801396904.030.128147978.330.3711.76433.09414.29821640.7747820685884899446.0720605.392.238.8104339918023979446.56855237.69833015.530.2047.963704.381.0413.35710.50905.7604.5833.0453.29918.027510.6006121.9373367119735.57302.778.04142711.743495328934422.16680410232390.4116.152691666718.93458995311.7456.763492.0569593.0097.5344.2434.86210.7116349.05605423.97375837479341.97381.6578.45183932281623.1727487.6039196895.14412966549905322.024.8424593862.76331175.562596033301673628.017199190.0929.0693200671.704.936753.36433072.511564.789.65203.6370.53153.5645908316.0370036.20117556231.013608.216306.423615023349.64600.95138071858.702934147.1498711.07694739.46115589.5917.58182.126116222.2411295.929.8936158608377.573542253.82293.0291442.215052.7154.8322.12673.464.5116636180.725.60777626689667570337.7825.96032.66330.7338147.4808.996.34042.889602.732826.111.5132993.8602.5413341.4673256352942.7798.410.38860.0729.110743.15114.678116.511278.23121122.60110.511941.504824.232856.9478184.7855.41259668.6991.503001.749733.4097265.996015.411094.33302.48234402.6695.10755112.4288.90936124.3769.464960.71279.7485035507.55230503.34200468629.3231460.4229139.60392750.09161652700.09688.7629814480.6758.831.905.9836154157506177410195.755.782026.20213.33519.88817.2836444309998.86909.524123.098126.18748.56837.433532.829736.503035.650735.734835.078816877.65.6534.187113.99OpenBenchmarking.org

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: 32 - Type: ProcessLinux 6.8Linux 6.9-rc2714212835SE +/- 0.27, N = 3SE +/- 0.39, N = 324.7527.991. (CC) gcc options: -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 32 - Type: ProcessLinux 6.8Linux 6.9-rc2612182430Min: 24.23 / Avg: 24.75 / Max: 25.11Min: 27.3 / Avg: 27.99 / Max: 28.641. (CC) gcc options: -lpthread

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: 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: PthreadLinux 6.8Linux 6.9-rc27K14K21K28K35KMin: 39501.61 / Avg: 39599.26 / Max: 39664.14Min: 34802.3 / Avg: 35919.64 / Max: 41939.151. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 6.8Linux 6.9-rc216K32K48K64K80KSE +/- 711.41, N = 15SE +/- 1055.18, N = 367789.2573754.741. (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 6.8Linux 6.9-rc213K26K39K52K65KMin: 63890.84 / Avg: 67789.25 / Max: 73660.57Min: 71774.24 / Avg: 73754.74 / Max: 75376.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: 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: libx265 - Scenario: PlatformLinux 6.8Linux 6.9-rc2918273645Min: 39.49 / Avg: 42.74 / Max: 46.96Min: 37.98 / Avg: 40.2 / Max: 42.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

TensorFlow

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetLinux 6.8Linux 6.9-rc248121620SE +/- 0.25, N = 12SE +/- 0.25, N = 317.2318.28
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetLinux 6.8Linux 6.9-rc2510152025Min: 16.05 / Avg: 17.23 / Max: 18.33Min: 17.81 / Avg: 18.28 / Max: 18.63

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: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc2816243240SE +/- 0.40, N = 3SE +/- 0.25, N = 332.4534.351. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc2714212835SE +/- 0.38, N = 3SE +/- 0.22, N = 330.8229.111. (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 6.8Linux 6.9-rc2714212835Min: 31.74 / Avg: 32.45 / Max: 33.12Min: 33.86 / Avg: 34.35 / Max: 34.721. (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 6.8Linux 6.9-rc24080120160200SE +/- 3.10, N = 12SE +/- 2.39, N = 14185.29196.081. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc21.21772.43543.65314.87086.0885SE +/- 0.09595, N = 12SE +/- 0.06160, N = 145.411915.107551. (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 6.8Linux 6.9-rc24080120160200Min: 161.21 / Avg: 185.29 / Max: 201.13Min: 181.45 / Avg: 196.08 / Max: 214.31. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

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: SENDFILELinux 6.8Linux 6.9-rc2400K800K1200K1600K2000KSE +/- 609.53, N = 3SE +/- 5873.31, N = 31798203.121900682.081. (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 6.8Linux 6.9-rc2300K600K900K1200K1500KMin: 1796994 / Avg: 1798203.12 / Max: 1798942.24Min: 1891226.4 / Avg: 1900682.08 / Max: 1911445.641. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

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: CaffeNet 12-int8 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc2120240360480600SE +/- 6.47, N = 15SE +/- 5.63, N = 3541.83571.191. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc20.41580.83161.24741.66322.079SE +/- 0.02432, N = 15SE +/- 0.01721, N = 31.848071.749731. (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 6.8Linux 6.9-rc2100200300400500Min: 466.87 / Avg: 541.83 / Max: 562.29Min: 561.47 / Avg: 571.19 / Max: 580.971. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

TensorFlow

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: 64 - Model: AlexNetLinux 6.8Linux 6.9-rc290180270360450Min: 489.56 / Avg: 495.72 / Max: 507.82Min: 442.85 / Avg: 471.88 / Max: 513.73

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: GoogLeNetLinux 6.8Linux 6.9-rc2306090120150Min: 133.71 / Avg: 135.18 / Max: 136.92Min: 119.1 / Avg: 128.71 / Max: 141.51

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc26001200180024003000SE +/- 16.72, N = 3SE +/- 25.96, N = 32530.042656.421. (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 6.8Linux 6.9-rc25001000150020002500Min: 2506.18 / Avg: 2530.04 / Max: 2562.26Min: 2605.38 / Avg: 2656.42 / Max: 2690.171. (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 6.8Linux 6.9-rc248121620SE +/- 0.10, N = 3SE +/- 0.14, N = 314.5813.89MIN: 9.5 / MAX: 109.83MIN: 9.12 / MAX: 90.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc248121620Min: 14.4 / Avg: 14.58 / Max: 14.72Min: 13.72 / Avg: 13.89 / Max: 14.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: System V Message PassingLinux 6.8Linux 6.9-rc24M8M12M16M20MSE +/- 189741.33, N = 15SE +/- 35075.39, N = 317859304.3818740350.561. (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 6.8Linux 6.9-rc23M6M9M12M15MMin: 17359798.67 / Avg: 17859304.38 / Max: 19573809.48Min: 18670511.29 / Avg: 18740350.56 / Max: 18780989.211. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

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: 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 75, Compression Effort 7Linux 6.8Linux 6.9-rc2246810Min: 0.63 / Avg: 0.64 / Max: 0.66Min: 0.59 / Avg: 0.61 / Max: 0.621. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

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: 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: Context SwitchingLinux 6.8Linux 6.9-rc24M8M12M16M20MMin: 19183596.73 / Avg: 20343491.52 / Max: 20714486.65Min: 18914689.1 / Avg: 19390362.9 / Max: 19833926.781. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPULinux 6.8Linux 6.9-rc2100200300400500SE +/- 3.09, N = 3SE +/- 3.72, N = 3445.90467.791. (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 6.8Linux 6.9-rc280160240320400Min: 440.63 / Avg: 445.9 / Max: 451.34Min: 462.78 / Avg: 467.79 / Max: 475.051. (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 6.8Linux 6.9-rc220406080100SE +/- 0.57, N = 3SE +/- 0.62, N = 382.8779.00MIN: 51.69 / MAX: 529.56MIN: 49.24 / MAX: 319.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPULinux 6.8Linux 6.9-rc21632486480Min: 81.86 / Avg: 82.87 / Max: 83.85Min: 77.78 / Avg: 79 / Max: 79.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc248121620SE +/- 0.23, N = 3SE +/- 0.17, N = 316.7817.561. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc21326395265SE +/- 0.81, N = 3SE +/- 0.56, N = 359.6056.951. (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 6.8Linux 6.9-rc248121620Min: 16.43 / Avg: 16.78 / Max: 17.22Min: 17.31 / Avg: 17.56 / Max: 17.91. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-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: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyLinux 6.8Linux 6.9-rc2246810Min: 2.29 / Avg: 2.32 / Max: 2.38Min: 2.18 / Avg: 2.22 / Max: 2.27

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: MMAPLinux 6.8Linux 6.9-rc214002800420056007000SE +/- 70.88, N = 14SE +/- 66.09, N = 156169.366427.331. (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 6.8Linux 6.9-rc211002200330044005500Min: 6033.64 / Avg: 6169.36 / Max: 7082.81Min: 6237.85 / Avg: 6427.33 / Max: 7162.331. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc20.91131.82262.73393.64524.5565SE +/- 0.05, N = 4SE +/- 0.01, N = 34.053.89MIN: 2.67 / MAX: 52.43MIN: 2.64 / MAX: 47.091. (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 6.8Linux 6.9-rc2246810Min: 3.95 / Avg: 4.05 / Max: 4.17Min: 3.86 / Avg: 3.89 / Max: 3.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

JPEG-XL libjxl

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 90Linux 6.8Linux 6.9-rc2816243240SE +/- 0.37, N = 3SE +/- 0.38, N = 1532.5633.891. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 90Linux 6.8Linux 6.9-rc2714212835Min: 31.96 / Avg: 32.56 / Max: 33.23Min: 32.05 / Avg: 33.89 / Max: 37.151. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc250100150200250SE +/- 2.99, N = 15SE +/- 0.80, N = 3205.41213.741. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc21.09842.19683.29524.39365.492SE +/- 0.07270, N = 15SE +/- 0.01745, N = 34.881814.678111. (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 6.8Linux 6.9-rc24080120160200Min: 187.3 / Avg: 205.41 / Max: 215.32Min: 212.71 / Avg: 213.74 / Max: 215.321. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc26K12K18K24K30KSE +/- 285.82, N = 4SE +/- 155.42, N = 326732.8827790.241. (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 6.8Linux 6.9-rc25K10K15K20K25KMin: 25987.7 / Avg: 26732.88 / Max: 27373.74Min: 27500.36 / Avg: 27790.24 / Max: 28032.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: 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: Socket ActivityLinux 6.8Linux 6.9-rc28K16K24K32K40KMin: 47826.25 / Avg: 47927.75 / Max: 48085.46Min: 46086.1 / Avg: 46123.32 / Max: 46160.231. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

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 6.8Linux 6.9-rc220406080100SE +/- 1.16, N = 3SE +/- 1.34, N = 15101.90105.781. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc23691215SE +/- 0.11034, N = 3SE +/- 0.12308, N = 159.805149.464961. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc220406080100Min: 100.57 / Avg: 101.9 / Max: 104.21Min: 95.15 / Avg: 105.78 / Max: 112.551. (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: SHA256Linux 6.8Linux 6.9-rc215000M30000M45000M60000M75000MMin: 83194731580 / Avg: 84678420666.67 / Max: 85761951540Min: 78428217190 / Avg: 81678284175.83 / Max: 857650217201. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OSPRay

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeLinux 6.8Linux 6.9-rc2612182430SE +/- 0.41, N = 12SE +/- 0.20, N = 324.2825.17
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeLinux 6.8Linux 6.9-rc2612182430Min: 22.24 / Avg: 24.28 / Max: 26.57Min: 24.77 / Avg: 25.17 / Max: 25.44

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: 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: IO_uringLinux 6.8Linux 6.9-rc2600K1200K1800K2400K3000KMin: 3411726.95 / Avg: 3468957.59 / Max: 3520773.62Min: 2951579.79 / Avg: 3346567.8 / Max: 3574079.351. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc2100200300400500SE +/- 2.33, N = 3SE +/- 1.20, N = 3451.13466.451. (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 6.8Linux 6.9-rc280160240320400Min: 446.81 / Avg: 451.13 / Max: 454.78Min: 464.39 / Avg: 466.45 / Max: 468.541. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 6.8Linux 6.9-rc20.34430.68861.03291.37721.7215SE +/- 0.01, N = 3SE +/- 0.02, N = 31.481.531. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas
OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufLinux 6.8Linux 6.9-rc2246810Min: 1.46 / Avg: 1.48 / Max: 1.5Min: 1.49 / Avg: 1.53 / Max: 1.561. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc220406080100SE +/- 0.43, N = 3SE +/- 0.20, N = 381.9079.23MIN: 49.43 / MAX: 345.35MIN: 50.1 / MAX: 290.061. (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 6.8Linux 6.9-rc21632486480Min: 81.24 / Avg: 81.9 / Max: 82.7Min: 78.88 / Avg: 79.23 / Max: 79.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Blender

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: Fishy Cat - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc2816243240Min: 35.37 / Avg: 38.09 / Max: 40.9Min: 38.58 / Avg: 39.37 / Max: 40.64

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPULinux 6.8Linux 6.9-rc2816243240SE +/- 0.35, N = 3SE +/- 0.23, N = 336.2835.14MIN: 24.78 / MAX: 205.05MIN: 25.25 / MAX: 437.271. (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 6.8Linux 6.9-rc2816243240Min: 35.86 / Avg: 36.28 / Max: 36.98Min: 34.77 / Avg: 35.14 / Max: 35.551. (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 6.8Linux 6.9-rc22004006008001000SE +/- 9.82, N = 3SE +/- 6.69, N = 31018.471051.301. (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 6.8Linux 6.9-rc22004006008001000Min: 998.97 / Avg: 1018.47 / Max: 1030.3Min: 1039.16 / Avg: 1051.3 / Max: 1062.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc24K8K12K16K20KSE +/- 101.18, N = 3SE +/- 156.23, N = 61720416687
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc23K6K9K12K15KMin: 17006 / Avg: 17203.67 / Max: 17340Min: 16283 / Avg: 16686.5 / Max: 17176

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: 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: SemaphoresLinux 6.8Linux 6.9-rc230M60M90M120M150MMin: 152969984.38 / Avg: 154589461.19 / Max: 157583969.81Min: 147805489.97 / Avg: 150005776.47 / Max: 152401505.251. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OSPRay

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeLinux 6.8Linux 6.9-rc23691215SE +/- 0.08, N = 15SE +/- 0.07, N = 310.5010.82
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeLinux 6.8Linux 6.9-rc23691215Min: 9.91 / Avg: 10.5 / Max: 11.03Min: 10.69 / Avg: 10.82 / Max: 10.9

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: 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 95, Compression Effort 7Linux 6.8Linux 6.9-rc212345Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.33 / Avg: 0.33 / Max: 0.331. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OSPRay

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/ao/real_timeLinux 6.8Linux 6.9-rc2714212835Min: 29.53 / Avg: 29.73 / Max: 29.9Min: 28.55 / Avg: 28.88 / Max: 29.19

TensorFlow

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: ResNet-50Linux 6.8Linux 6.9-rc2612182430SE +/- 0.30, N = 3SE +/- 0.28, N = 1524.1224.80
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: ResNet-50Linux 6.8Linux 6.9-rc2612182430Min: 23.76 / Avg: 24.12 / Max: 24.72Min: 22.27 / Avg: 24.8 / Max: 26.2

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.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096Linux 6.8Linux 6.9-rc2300K600K900K1200K1500KSE +/- 19064.62, N = 3SE +/- 833.27, N = 31358616.41396904.01. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)
OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096Linux 6.8Linux 6.9-rc2200K400K600K800K1000KMin: 1334905.6 / Avg: 1358616.43 / Max: 1396331.6Min: 1395519.5 / Avg: 1396904 / Max: 1398399.61. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

JPEG-XL libjxl

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: PNG - Quality: 90Linux 6.8Linux 6.9-rc2714212835Min: 30.44 / Avg: 30.97 / Max: 31.39Min: 29.95 / Avg: 30.13 / Max: 30.481. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

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: CryptoLinux 6.8Linux 6.9-rc230K60K90K120K150KSE +/- 1720.03, N = 15SE +/- 2039.96, N = 15143967.24147978.331. (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 6.8Linux 6.9-rc230K60K90K120K150KMin: 129124.76 / Avg: 143967.24 / Max: 162008.05Min: 142636.41 / Avg: 147978.33 / Max: 172381.361. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

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-2-70b-chat.Q5_0.ggufLinux 6.8Linux 6.9-rc20.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 30.360.371. (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 6.8Linux 6.9-rc212345Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.37 / Avg: 0.37 / Max: 0.371. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

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
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareLinux 6.8Linux 6.9-rc248121620Min: 11.98 / Avg: 12.09 / Max: 12.17Min: 11.62 / Avg: 11.76 / Max: 11.911. (CXX) g++ options: -O3 -lm

VVenC

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
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FasterLinux 6.8Linux 6.9-rc2714212835Min: 31.35 / Avg: 33.99 / Max: 35.48Min: 29.81 / Avg: 33.09 / Max: 35.111. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 6.8Linux 6.9-rc248121620SE +/- 0.00, N = 3SE +/- 0.14, N = 1514.6814.301. (CC) gcc options: -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 16 - Type: ThreadLinux 6.8Linux 6.9-rc248121620Min: 14.68 / Avg: 14.68 / Max: 14.68Min: 13.56 / Avg: 14.3 / Max: 15.061. (CC) gcc options: -lpthread

OSPRay Studio

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: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc2400800120016002000Min: 2071 / Avg: 2108.25 / Max: 2172Min: 2071 / Avg: 2164.38 / Max: 2437

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: 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
OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPULinux 6.8Linux 6.9-rc2246810Min: 0.77 / Avg: 0.79 / Max: 0.81Min: 0.76 / Avg: 0.77 / Max: 0.77

OSPRay Studio

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: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc280160240320400Min: 459 / Avg: 466.33 / Max: 471Min: 476 / Avg: 478.33 / Max: 483

RocksDB

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
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write RandomLinux 6.8Linux 6.9-rc2400K800K1200K1600K2000KMin: 2093440 / Avg: 2120843.67 / Max: 2153157Min: 2027056 / Avg: 2068588.2 / Max: 21517311. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc2110220330440550SE +/- 5.26, N = 5SE +/- 2.33, N = 3501489
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc290180270360450Min: 487 / Avg: 500.8 / Max: 516Min: 485 / Avg: 488.67 / Max: 493

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: 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: ZlibLinux 6.8Linux 6.9-rc22K4K6K8K10KMin: 9621.44 / Avg: 9670.37 / Max: 9704.78Min: 9196.27 / Avg: 9446.07 / Max: 9575.241. (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: 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: Memory CopyingLinux 6.8Linux 6.9-rc24K8K12K16K20KMin: 20788.72 / Avg: 21085.1 / Max: 21404.88Min: 19594.52 / Avg: 20605.39 / Max: 21203.311. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

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.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyLinux 6.8Linux 6.9-rc2246810Min: 2.13 / Avg: 2.28 / Max: 2.36Min: 2.11 / Avg: 2.23 / Max: 2.4

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Convolution Batch Shapes Auto - Engine: CPULinux 6.8Linux 6.9-rc23691215SE +/- 0.03328, N = 3SE +/- 0.09863, N = 159.006218.81043MIN: 8.12MIN: 6.251. (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 6.8Linux 6.9-rc23691215Min: 8.97 / Avg: 9.01 / Max: 9.07Min: 8.1 / Avg: 8.81 / Max: 9.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

BRL-CAD

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance MetricLinux 6.8Linux 6.9-rc2900K1800K2700K3600K4500K390683939918021. (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

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc29K18K27K36K45KSE +/- 626.71, N = 12SE +/- 252.89, N = 34065739794
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc27K14K21K28K35KMin: 38816 / Avg: 40657.08 / Max: 45903Min: 39453 / Avg: 39794 / Max: 40288

Blender

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: Junkshop - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc2918273645Min: 42.49 / Avg: 45.6 / Max: 49.86Min: 44.93 / Avg: 46.56 / Max: 51.27

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KSE +/- 70.21, N = 3SE +/- 26.21, N = 387328552
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc215003000450060007500Min: 8657 / Avg: 8731.67 / Max: 8872Min: 8500 / Avg: 8552.33 / Max: 8581

Timed Linux Kernel Compilation

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigLinux 6.8Linux 6.9-rc2918273645SE +/- 0.36, N = 6SE +/- 0.37, N = 638.4637.70
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigLinux 6.8Linux 6.9-rc2816243240Min: 37.62 / Avg: 38.46 / Max: 40.02Min: 37.1 / Avg: 37.7 / Max: 39.49

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: Monero - Hash Count: 1MLinux 6.8Linux 6.9-rc27K14K21K28K35KSE +/- 320.50, N = 13SE +/- 181.84, N = 332361.233015.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MLinux 6.8Linux 6.9-rc26K12K18K24K30KMin: 28745.5 / Avg: 32361.16 / Max: 33220.4Min: 32652 / Avg: 33015.47 / Max: 33208.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenVINO

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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc2714212835Min: 29.47 / Avg: 29.61 / Max: 29.76Min: 30.07 / Avg: 30.2 / Max: 30.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50Linux 6.8Linux 6.9-rc21122334455SE +/- 0.54, N = 12SE +/- 0.42, N = 347.0347.96
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50Linux 6.8Linux 6.9-rc21020304050Min: 43.05 / Avg: 47.03 / Max: 49.27Min: 47.25 / Avg: 47.96 / Max: 48.71

OpenVINO

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.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc27001400210028003500Min: 3759.23 / Avg: 3777.56 / Max: 3796.18Min: 3690.91 / Avg: 3704.38 / Max: 3719.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyLinux 6.8Linux 6.9-rc20.23850.4770.71550.9541.1925SE +/- 0.01, N = 7SE +/- 0.01, N = 151.061.04
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyLinux 6.8Linux 6.9-rc2246810Min: 1.02 / Avg: 1.06 / Max: 1.1Min: 1 / Avg: 1.04 / Max: 1.09

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: 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: 16 - Type: ProcessLinux 6.8Linux 6.9-rc248121620Min: 12.98 / Avg: 13.11 / Max: 13.32Min: 13.04 / Avg: 13.36 / Max: 13.681. (CC) gcc options: -lpthread

OSPRay

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/ao/real_timeLinux 6.8Linux 6.9-rc23691215Min: 9.61 / Avg: 10.7 / Max: 11.69Min: 10.42 / Avg: 10.51 / Max: 10.57

SVT-AV1

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 4 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc2246810Min: 5.8 / Avg: 5.87 / Max: 5.92Min: 5.47 / Avg: 5.76 / Max: 6.061. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 6.8Linux 6.9-rc21.03052.0613.09154.1225.1525SE +/- 0.04, N = 3SE +/- 0.03, N = 34.504.58
OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPULinux 6.8Linux 6.9-rc2246810Min: 4.41 / Avg: 4.5 / Max: 4.55Min: 4.53 / Avg: 4.58 / Max: 4.64

JPEG-XL libjxl

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 80Linux 6.8Linux 6.9-rc2816243240SE +/- 0.38, N = 3SE +/- 0.36, N = 1532.4833.051. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 80Linux 6.8Linux 6.9-rc2714212835Min: 31.76 / Avg: 32.48 / Max: 33.06Min: 30.9 / Avg: 33.05 / Max: 35.141. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

Primesieve

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12Linux 6.8Linux 6.9-rc20.75511.51022.26533.02043.7755SE +/- 0.024, N = 11SE +/- 0.044, N = 33.3563.2991. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12Linux 6.8Linux 6.9-rc2246810Min: 3.21 / Avg: 3.36 / Max: 3.48Min: 3.23 / Avg: 3.3 / Max: 3.381. (CXX) g++ options: -O3

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_1d - Engine: CPULinux 6.8Linux 6.9-rc2510152025SE +/- 0.23, N = 15SE +/- 0.14, N = 318.3418.03MIN: 10.09MIN: 13.291. (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 6.8Linux 6.9-rc2510152025Min: 17.33 / Avg: 18.34 / Max: 20.5Min: 17.79 / Avg: 18.03 / Max: 18.271. (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: 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.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc220406080100SE +/- 0.33, N = 3SE +/- 0.44, N = 392.7594.331. (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-rc23691215Min: 10.72 / Avg: 10.78 / Max: 10.85Min: 10.5 / Avg: 10.6 / Max: 10.671. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc2306090120150SE +/- 0.33, N = 3SE +/- 0.55, N = 3119.92121.931. (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 - Device: CPULinux 6.8Linux 6.9-rc220406080100Min: 119.39 / Avg: 119.92 / Max: 120.53Min: 121.32 / Avg: 121.93 / Max: 123.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

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: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc213K26K39K52K65KMin: 71200 / Avg: 72171.67 / Max: 72908Min: 70780 / Avg: 73366.67 / Max: 81395

OpenVINO

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.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc220K40K60K80K100KMin: 111011.67 / Avg: 121702.12 / Max: 128851.87Min: 110782.85 / Avg: 119735.57 / Max: 127032.621. (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 6.8Linux 6.9-rc270140210280350SE +/- 0.84, N = 3SE +/- 1.30, N = 3307.74302.77MIN: 183.58 / MAX: 728.14MIN: 181.55 / MAX: 894.731. (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 - Device: CPULinux 6.8Linux 6.9-rc260120180240300Min: 306.2 / Avg: 307.74 / Max: 309.1Min: 300.19 / Avg: 302.77 / Max: 304.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2246810SE +/- 0.07338, N = 3SE +/- 0.08546, N = 37.913218.041421. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2306090120150SE +/- 1.18, N = 3SE +/- 1.32, N = 3126.38124.381. (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 6.8Linux 6.9-rc23691215Min: 7.77 / Avg: 7.91 / Max: 8Min: 7.91 / Avg: 8.04 / Max: 8.21. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

TensorFlow

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: 256 - Model: AlexNetLinux 6.8Linux 6.9-rc2130260390520650Min: 705.61 / Avg: 723.16 / Max: 735.49Min: 691.56 / Avg: 711.74 / Max: 738.71

OSPRay Studio

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: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc26K12K18K24K30KMin: 33902 / Avg: 34412.33 / Max: 34921Min: 34360 / Avg: 34952.67 / Max: 35847

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: MutexLinux 6.8Linux 6.9-rc26M12M18M24M30MSE +/- 281178.86, N = 3SE +/- 294297.65, N = 328490133.2828934422.161. (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 6.8Linux 6.9-rc25M10M15M20M25MMin: 27968463.5 / Avg: 28490133.28 / Max: 28932847.6Min: 28349730.23 / Avg: 28934422.16 / Max: 29285375.461. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc215003000450060007500SE +/- 83.68, N = 3SE +/- 15.17, N = 369096804
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc212002400360048006000Min: 6742 / Avg: 6909 / Max: 7002Min: 6788 / Avg: 6803.67 / Max: 6834

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: 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: PollLinux 6.8Linux 6.9-rc22M4M6M8M10MMin: 10315486.51 / Avg: 10389186.02 / Max: 10433096.08Min: 10172379.63 / Avg: 10232390.41 / Max: 10273902.141. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FastLinux 6.8Linux 6.9-rc248121620SE +/- 0.11, N = 3SE +/- 0.07, N = 315.9116.151. (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 6.8Linux 6.9-rc248121620Min: 15.74 / Avg: 15.91 / Max: 16.13Min: 16.01 / Avg: 16.15 / Max: 16.231. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 6.8Linux 6.9-rc21.5M3M4.5M6M7.5MSE +/- 67589.78, N = 6SE +/- 46491.34, N = 3681466769166671. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1Linux 6.8Linux 6.9-rc21.2M2.4M3.6M4.8M6MMin: 6672000 / Avg: 6814666.67 / Max: 7128000Min: 6861000 / Avg: 6916666.67 / Max: 70090001. (CXX) g++ options: -fopenmp -O3 -march=native

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 1080pLinux 6.8Linux 6.9-rc2510152025SE +/- 0.13, N = 15SE +/- 0.21, N = 318.6618.931. (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 6.8Linux 6.9-rc2510152025Min: 17.32 / Avg: 18.66 / Max: 19.18Min: 18.52 / Avg: 18.93 / Max: 19.161. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Chaos Group V-RAY

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPULinux 6.8Linux 6.9-rc213K26K39K52K65KSE +/- 530.58, N = 15SE +/- 557.85, N = 35985258995
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPULinux 6.8Linux 6.9-rc210K20K30K40K50KMin: 55464 / Avg: 59851.8 / Max: 62789Min: 57945 / Avg: 58994.67 / Max: 59847

Timed Linux Kernel Compilation

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigLinux 6.8Linux 6.9-rc260120180240300Min: 301.03 / Avg: 307.5 / Max: 314.3Min: 309.92 / Avg: 311.74 / Max: 314.15

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc2246810SE +/- 0.08, N = 3SE +/- 0.05, N = 36.856.76MIN: 4.47 / MAX: 51.04MIN: 4.36 / MAX: 70.911. (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 6.8Linux 6.9-rc23691215Min: 6.73 / Avg: 6.85 / Max: 7Min: 6.7 / Avg: 6.76 / Max: 6.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: 9 - Decompression SpeedLinux 6.8Linux 6.9-rc28001600240032004000SE +/- 16.01, N = 3SE +/- 57.81, N = 33537.03492.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression SpeedLinux 6.8Linux 6.9-rc26001200180024003000Min: 3506.3 / Avg: 3537.03 / Max: 3560.2Min: 3405.5 / Avg: 3492 / Max: 3601.71. (CC) gcc options: -O3

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: 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: Vector ShuffleLinux 6.8Linux 6.9-rc2100K200K300K400K500KMin: 575427.57 / Avg: 576905.92 / Max: 579738.72Min: 566389.15 / Avg: 569593 / Max: 572957.771. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

TensorFlow

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetLinux 6.8Linux 6.9-rc220406080100SE +/- 1.27, N = 12SE +/- 1.10, N = 1596.3197.53
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetLinux 6.8Linux 6.9-rc220406080100Min: 85.81 / Avg: 96.31 / Max: 102.25Min: 88.74 / Avg: 97.53 / Max: 104.65

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: 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
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandLinux 6.8Linux 6.9-rc2918273645Min: 42.52 / Avg: 44.8 / Max: 47.48Min: 41.46 / Avg: 44.24 / Max: 47.61. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

TensorFlow

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: 32 - Model: ResNet-50Linux 6.8Linux 6.9-rc2816243240Min: 31.45 / Avg: 35.3 / Max: 37.99Min: 31.08 / Avg: 34.86 / Max: 37.24

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: 16 - Model: AlexNetLinux 6.8Linux 6.9-rc24080120160200Min: 200.69 / Avg: 213.35 / Max: 224.18Min: 196.43 / Avg: 210.71 / Max: 223.24

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc24K8K12K16K20KSE +/- 194.69, N = 3SE +/- 107.94, N = 316147.5716349.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc23K6K9K12K15KMin: 15782.51 / Avg: 16147.57 / Max: 16447.41Min: 16137.98 / Avg: 16349.05 / Max: 16493.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Google Draco

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: LionLinux 6.8Linux 6.9-rc213002600390052006500SE +/- 40.84, N = 3SE +/- 29.28, N = 3612960541. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: LionLinux 6.8Linux 6.9-rc211002200330044005500Min: 6087 / Avg: 6129.33 / Max: 6211Min: 5996 / Avg: 6054 / Max: 60901. (CXX) g++ options: -O3

OpenVINO

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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPULinux 6.8Linux 6.9-rc2612182430Min: 23.44 / Avg: 23.68 / Max: 24.01Min: 23.56 / Avg: 23.97 / Max: 24.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Speedb

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

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: 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: Random ReadLinux 6.8Linux 6.9-rc270M140M210M280M350MMin: 379212895 / Avg: 380419388.67 / Max: 382408395Min: 368286871 / Avg: 375837479.33 / Max: 3825848191. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

TensorFlow

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: 32 - Model: AlexNetLinux 6.8Linux 6.9-rc260120180240300Min: 321.22 / Avg: 346.1 / Max: 359.55Min: 305.73 / Avg: 341.97 / Max: 369.36

JPEG-XL Decoding libjxl

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
OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL Decoding libjxl 0.10.1CPU Threads: AllLinux 6.8Linux 6.9-rc270140210280350Min: 377.96 / Avg: 386.23 / Max: 391.88Min: 378.26 / Avg: 381.66 / Max: 385.94

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: Quality 100, Compression Effort 5Linux 6.8Linux 6.9-rc2246810SE +/- 0.11, N = 15SE +/- 0.07, N = 38.358.451. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Linux 6.8Linux 6.9-rc23691215Min: 7.59 / Avg: 8.35 / Max: 8.93Min: 8.32 / Avg: 8.45 / Max: 8.541. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc2400800120016002000SE +/- 13.93, N = 11SE +/- 26.21, N = 318611839
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc230060090012001500Min: 1789 / Avg: 1861.36 / Max: 1969Min: 1789 / Avg: 1838.67 / Max: 1878

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 FillLinux 6.8Linux 6.9-rc260K120K180K240K300KMin: 322244 / Avg: 326499.33 / Max: 329138Min: 318867 / Avg: 322816.33 / Max: 3297801. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -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: 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.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc21020304050SE +/- 0.23, N = 3SE +/- 0.13, N = 342.6843.151. (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-rc2510152025Min: 23.19 / Avg: 23.43 / Max: 23.62Min: 23.06 / Avg: 23.17 / Max: 23.31. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

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: NUMALinux 6.8Linux 6.9-rc2110220330440550SE +/- 4.27, N = 3SE +/- 5.89, N = 4482.62487.601. (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: NUMALinux 6.8Linux 6.9-rc290180270360450Min: 474.29 / Avg: 482.62 / Max: 488.43Min: 474.08 / Avg: 487.6 / Max: 502.231. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

RocksDB

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: OverwriteLinux 6.8Linux 6.9-rc280K160K240K320K400KSE +/- 881.98, N = 3SE +/- 3053.81, N = 33880103919681. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: OverwriteLinux 6.8Linux 6.9-rc270K140K210K280K350KMin: 386260 / Avg: 388010.33 / Max: 389075Min: 388352 / Avg: 391968.33 / Max: 3980391. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -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: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc220406080100SE +/- 0.92, N = 3SE +/- 1.23, N = 394.2595.141. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc23691215SE +/- 0.10, N = 3SE +/- 0.14, N = 310.6110.511. (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 6.8Linux 6.9-rc220406080100Min: 92.41 / Avg: 94.25 / Max: 95.31Min: 93.11 / Avg: 95.14 / Max: 97.351. (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: 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.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512Linux 6.8Linux 6.9-rc25000M10000M15000M20000M25000MMin: 29758092770 / Avg: 29940735740 / Max: 30054942200Min: 29221344810 / Avg: 29665499053.33 / Max: 300950526401. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

Blender

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: BMW27 - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc2510152025Min: 21.07 / Avg: 21.82 / Max: 26.04Min: 21.89 / Avg: 22.02 / Max: 22.16

oneDNN

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: IP Shapes 3D - Engine: CPULinux 6.8Linux 6.9-rc2246810Min: 4.75 / Avg: 4.8 / Max: 4.82Min: 4.8 / Avg: 4.84 / Max: 4.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: WriteLinux 6.8Linux 6.9-rc220K40K60K80K100KSE +/- 36.95, N = 3SE +/- 65.10, N = 393036.3093862.76MIN: 54037.87 / MAX: 103869.49MIN: 54012.69 / MAX: 104121.121. (CC) gcc options: -O3 -lrt
OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: WriteLinux 6.8Linux 6.9-rc216K32K48K64K80KMin: 92962.42 / Avg: 93036.3 / Max: 93074.36Min: 93781.39 / Avg: 93862.76 / Max: 93991.471. (CC) gcc options: -O3 -lrt

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc220406080100SE +/- 0.83, N = 5SE +/- 0.61, N = 1576.2075.56
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc21530456075Min: 74.42 / Avg: 76.2 / Max: 79.26Min: 72.66 / Avg: 75.56 / Max: 80.08

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 Fill SyncLinux 6.8Linux 6.9-rc260K120K180K240K300KSE +/- 1490.88, N = 3SE +/- 3603.61, N = 32574462596031. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fill SyncLinux 6.8Linux 6.9-rc240K80K120K160K200KMin: 255625 / Avg: 257445.67 / Max: 260401Min: 253153 / Avg: 259603 / Max: 2656131. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential FillLinux 6.8Linux 6.9-rc270K140K210K280K350KSE +/- 1183.38, N = 3SE +/- 1955.03, N = 33276373301671. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential FillLinux 6.8Linux 6.9-rc260K120K180K240K300KMin: 325425 / Avg: 327637 / Max: 329472Min: 326759 / Avg: 330167 / Max: 3335311. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 - Decompression SpeedLinux 6.8Linux 6.9-rc28001600240032004000SE +/- 44.31, N = 3SE +/- 18.57, N = 33601.03628.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression SpeedLinux 6.8Linux 6.9-rc26001200180024003000Min: 3512.4 / Avg: 3600.97 / Max: 3648.1Min: 3590.9 / Avg: 3627.97 / Max: 3648.51. (CC) gcc options: -O3

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 6.8Linux 6.9-rc24M8M12M16M20MSE +/- 82496.53, N = 3SE +/- 192774.29, N = 317071694.5217199190.091. (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: HashLinux 6.8Linux 6.9-rc23M6M9M12M15MMin: 16923497.51 / Avg: 17071694.52 / Max: 17208604.39Min: 16837658.17 / Avg: 17199190.09 / Max: 17495959.441. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

OSPRay

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/scivis/real_timeLinux 6.8Linux 6.9-rc2612182430Min: 28.76 / Avg: 29.28 / Max: 29.6Min: 28.57 / Avg: 29.07 / Max: 29.68

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: 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: CPU StressLinux 6.8Linux 6.9-rc240K80K120K160K200KMin: 201472.61 / Avg: 202073.08 / Max: 203212.21Min: 200186.6 / Avg: 200671.7 / Max: 201316.581. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastLinux 6.8Linux 6.9-rc21.11062.22123.33184.44245.553SE +/- 0.075, N = 10SE +/- 0.077, N = 124.9024.9361. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastLinux 6.8Linux 6.9-rc2246810Min: 4.5 / Avg: 4.9 / Max: 5.22Min: 4.45 / Avg: 4.94 / Max: 5.331. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

oneDNN

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
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Inference - Engine: CPULinux 6.8Linux 6.9-rc2130260390520650Min: 734.18 / Avg: 748.49 / Max: 759.31Min: 733.88 / Avg: 753.36 / Max: 795.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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 6.8Linux 6.9-rc27K14K21K28K35KSE +/- 68.36, N = 3SE +/- 137.96, N = 332860.833072.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MLinux 6.8Linux 6.9-rc26K12K18K24K30KMin: 32757.9 / Avg: 32860.8 / Max: 32990.2Min: 32908.8 / Avg: 33072.5 / Max: 33346.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenVINO

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.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KMin: 11605.42 / Avg: 11638.51 / Max: 11676.18Min: 11510.92 / Avg: 11564.78 / Max: 11610.131. (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 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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc23691215Min: 9.55 / Avg: 9.59 / Max: 9.62Min: 9.61 / Avg: 9.65 / Max: 9.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetLinux 6.8Linux 6.9-rc24080120160200SE +/- 2.20, N = 12SE +/- 1.95, N = 3202.37203.63
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetLinux 6.8Linux 6.9-rc24080120160200Min: 192.36 / Avg: 202.37 / Max: 212.28Min: 200.52 / Avg: 203.63 / Max: 207.21

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50Linux 6.8Linux 6.9-rc21632486480SE +/- 0.38, N = 3SE +/- 0.47, N = 370.1070.53
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50Linux 6.8Linux 6.9-rc21428425670Min: 69.38 / Avg: 70.1 / Max: 70.68Min: 69.89 / Avg: 70.53 / Max: 71.45

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: super-resolution-10 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2306090120150SE +/- 0.93, N = 3SE +/- 1.50, N = 3152.64153.561. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2246810SE +/- 0.04024, N = 3SE +/- 0.06370, N = 36.550116.511271. (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 6.8Linux 6.9-rc2306090120150Min: 150.85 / Avg: 152.64 / Max: 154Min: 150.83 / Avg: 153.56 / Max: 155.981. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

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: Wide Vector MathLinux 6.8Linux 6.9-rc21.3M2.6M3.9M5.2M6.5MSE +/- 72950.92, N = 4SE +/- 55746.31, N = 155874353.635908316.031. (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 6.8Linux 6.9-rc21000K2000K3000K4000K5000KMin: 5734796.52 / Avg: 5874353.63 / Max: 6078708.21Min: 5527618.1 / Avg: 5908316.03 / Max: 6416763.811. (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: Mixed SchedulerLinux 6.8Linux 6.9-rc212K24K36K48K60KMin: 70188.63 / Avg: 70407.96 / Max: 70704.18Min: 69610.61 / Avg: 70036.2 / Max: 70567.641. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

Speedb

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

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write 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
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomLinux 6.8Linux 6.9-rc2200K400K600K800K1000KMin: 1133258 / Avg: 1181758.45 / Max: 1238775Min: 1150128 / Avg: 1175561.67 / Max: 11966771. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPULinux 6.8Linux 6.9-rc2714212835Min: 30.82 / Avg: 30.85 / Max: 30.9Min: 30.82 / Avg: 31.01 / Max: 31.121. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPULinux 6.8Linux 6.9-rc26001200180024003000Min: 3620.16 / Avg: 3626.41 / Max: 3629.97Min: 3595.29 / Avg: 3608.21 / Max: 3629.851. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc211002200330044005500Min: 6301.25 / Avg: 6336.78 / Max: 6365.6Min: 6270.98 / Avg: 6306.42 / Max: 6351.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

RocksDB

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Update RandomLinux 6.8Linux 6.9-rc280K160K240K320K400KSE +/- 1470.46, N = 3SE +/- 1522.72, N = 33598253615021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Update RandomLinux 6.8Linux 6.9-rc260K120K180K240K300KMin: 357432 / Avg: 359825 / Max: 362502Min: 359507 / Avg: 361501.67 / Max: 3644921. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: 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: 3 - Decompression SpeedLinux 6.8Linux 6.9-rc26001200180024003000Min: 3298.2 / Avg: 3364.8 / Max: 3409.3Min: 3296.1 / Avg: 3349.63 / Max: 3413.21. (CC) gcc options: -O3

OpenVINO

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.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPULinux 6.8Linux 6.9-rc28001600240032004000Min: 4538.42 / Avg: 4621.32 / Max: 4722.8Min: 4562.77 / Avg: 4600.95 / Max: 4657.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc23K6K9K12K15KSE +/- 112.81, N = 9SE +/- 180.26, N = 31386713807
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KMin: 13341 / Avg: 13867.33 / Max: 14375Min: 13502 / Avg: 13807.33 / Max: 14126

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: 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: Glibc Qsort Data SortingLinux 6.8Linux 6.9-rc230060090012001500Min: 1858.16 / Avg: 1866.58 / Max: 1872.99Min: 1851.48 / Avg: 1858.7 / Max: 1865.881. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

Speedb

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

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomLinux 6.8Linux 6.9-rc260K120K180K240K300KSE +/- 3488.80, N = 3SE +/- 3235.16, N = 32921802934141. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomLinux 6.8Linux 6.9-rc250K100K150K200K250KMin: 285224 / Avg: 292180.33 / Max: 296130Min: 286944 / Avg: 293413.67 / Max: 2967281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc2246810SE +/- 0.07, N = 3SE +/- 0.00, N = 37.177.14MIN: 5.78 / MAX: 54.3MIN: 5.79 / MAX: 44.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc23691215Min: 7.09 / Avg: 7.17 / Max: 7.3Min: 7.13 / Avg: 7.14 / Max: 7.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: 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
OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Read / Modify / WriteLinux 6.8Linux 6.9-rc220K40K60K80K100KMin: 99109.26 / Avg: 99112.7 / Max: 99118.04Min: 98624.41 / Avg: 98711.08 / Max: 98851.981. (CC) gcc options: -O3 -lrt

Primesieve

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13Linux 6.8Linux 6.9-rc2918273645SE +/- 0.06, N = 3SE +/- 0.09, N = 339.6239.461. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13Linux 6.8Linux 6.9-rc2816243240Min: 39.51 / Avg: 39.62 / Max: 39.73Min: 39.28 / Avg: 39.46 / Max: 39.581. (CXX) g++ options: -O3

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc23K6K9K12K15KSE +/- 132.85, N = 3SE +/- 25.09, N = 315532.5415589.591. (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 6.8Linux 6.9-rc23K6K9K12K15KMin: 15289.78 / Avg: 15532.54 / Max: 15747.45Min: 15541.44 / Avg: 15589.59 / Max: 15625.911. (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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPULinux 6.8Linux 6.9-rc248121620Min: 17.41 / Avg: 17.52 / Max: 17.61Min: 17.45 / Avg: 17.58 / Max: 17.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 6.8Linux 6.9-rc24080120160200SE +/- 1.29, N = 3SE +/- 0.70, N = 3181.51182.121. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: LiveLinux 6.8Linux 6.9-rc2306090120150Min: 179.04 / Avg: 181.51 / Max: 183.42Min: 181.34 / Avg: 182.12 / Max: 183.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OSPRay Studio

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc213K26K39K52K65KSE +/- 443.96, N = 15SE +/- 567.54, N = 76136361162
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc211K22K33K44K55KMin: 58023 / Avg: 61363 / Max: 64305Min: 60047 / Avg: 61161.86 / Max: 64493

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: 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: libx265 - Scenario: UploadLinux 6.8Linux 6.9-rc2510152025Min: 21.72 / Avg: 22.31 / Max: 22.78Min: 21.62 / Avg: 22.24 / Max: 22.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KSE +/- 23.83, N = 3SE +/- 26.72, N = 311260.9811295.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KMin: 11233.61 / Avg: 11260.98 / Max: 11308.46Min: 11262.68 / Avg: 11295.92 / Max: 11348.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc23691215SE +/- 0.02, N = 3SE +/- 0.02, N = 39.929.89MIN: 7.45 / MAX: 33.82MIN: 7.63 / MAX: 36.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPULinux 6.8Linux 6.9-rc23691215Min: 9.88 / Avg: 9.92 / Max: 9.94Min: 9.85 / Avg: 9.89 / Max: 9.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

RocksDB

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadLinux 6.8Linux 6.9-rc280M160M240M320M400MSE +/- 1573786.50, N = 3SE +/- 1447290.34, N = 33604985183615860831. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadLinux 6.8Linux 6.9-rc260M120M180M240M300MMin: 357380021 / Avg: 360498518.33 / Max: 362427419Min: 358698290 / Avg: 361586083.33 / Max: 3632015471. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc21530456075Min: 77.2 / Avg: 77.34 / Max: 77.5Min: 77.07 / Avg: 77.57 / Max: 78.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

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: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc26K12K18K24K30KMin: 33676 / Avg: 35316.73 / Max: 37909Min: 34540 / Avg: 35422.33 / Max: 36206

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc21224364860SE +/- 0.10, N = 3SE +/- 0.09, N = 353.9853.82
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc21122334455Min: 53.85 / Avg: 53.98 / Max: 54.18Min: 53.66 / Avg: 53.82 / Max: 53.97

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc260120180240300SE +/- 2.79, N = 15SE +/- 2.09, N = 3292.17293.031. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc20.77031.54062.31093.08123.8515SE +/- 0.03367, N = 15SE +/- 0.02459, N = 33.423573.409721. (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 6.8Linux 6.9-rc250100150200250Min: 269.79 / Avg: 292.17 / Max: 306.27Min: 288.88 / Avg: 293.03 / Max: 295.511. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

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.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc230060090012001500Min: 1443.54 / Avg: 1446.42 / Max: 1449.02Min: 1433.83 / Avg: 1442.21 / Max: 1451.631. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc29001800270036004500Min: 5055.58 / Avg: 5067.4 / Max: 5086.11Min: 5032.9 / Avg: 5052.71 / Max: 5089.341. (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 6.8Linux 6.9-rc21224364860SE +/- 0.47, N = 3SE +/- 0.25, N = 354.9854.83MIN: 33.9 / MAX: 423.36MIN: 34.71 / MAX: 375.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPULinux 6.8Linux 6.9-rc21122334455Min: 54.49 / Avg: 54.98 / Max: 55.93Min: 54.34 / Avg: 54.83 / Max: 55.191. (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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc2510152025Min: 21.98 / Avg: 22.06 / Max: 22.11Min: 21.96 / Avg: 22.12 / Max: 22.211. (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 6.8Linux 6.9-rc2150300450600750SE +/- 5.75, N = 3SE +/- 3.16, N = 3671.66673.461. (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 6.8Linux 6.9-rc2120240360480600Min: 660.17 / Avg: 671.66 / Max: 677.85Min: 669.03 / Avg: 673.46 / Max: 679.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

oneDNN

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 1D - Engine: CPULinux 6.8Linux 6.9-rc2246810Min: 4.41 / Avg: 4.5 / Max: 4.57Min: 4 / Avg: 4.51 / Max: 4.721. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: Wownero - Hash Count: 1MLinux 6.8Linux 6.9-rc28K16K24K32K40KSE +/- 245.88, N = 3SE +/- 490.33, N = 336096.636180.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MLinux 6.8Linux 6.9-rc26K12K18K24K30KMin: 35747.5 / Avg: 36096.6 / Max: 36571.1Min: 35226.2 / Avg: 36180.7 / Max: 36852.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

JPEG-XL libjxl

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: PNG - Quality: 100Linux 6.8Linux 6.9-rc2612182430Min: 25.38 / Avg: 25.67 / Max: 25.89Min: 25.31 / Avg: 25.61 / Max: 26.021. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

Google Draco

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
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church FacadeLinux 6.8Linux 6.9-rc213002600390052006500Min: 7745 / Avg: 7746.67 / Max: 7748Min: 7745 / Avg: 7762.33 / Max: 77781. (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 P2Linux 6.8Linux 6.9-rc21.4M2.8M4.2M5.6M7MSE +/- 74194.56, N = 9SE +/- 91964.82, N = 9667733366896671. (CXX) g++ options: -fopenmp -O3 -march=native
OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2Linux 6.8Linux 6.9-rc21.2M2.4M3.6M4.8M6MMin: 6277000 / Avg: 6677333.33 / Max: 6999000Min: 6300000 / Avg: 6689666.67 / Max: 70310001. (CXX) g++ options: -fopenmp -O3 -march=native

OSPRay Studio

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: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc2100200300400500Min: 541 / Avg: 568.93 / Max: 611Min: 540 / Avg: 569.6 / Max: 609

OpenVINO

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.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc260120180240300Min: 336.1 / Avg: 337.21 / Max: 338.62Min: 336.92 / Avg: 337.78 / Max: 339.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

JPEG-XL libjxl

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
OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 100Linux 6.8Linux 6.9-rc2612182430Min: 25.89 / Avg: 26 / Max: 26.22Min: 25.8 / Avg: 25.96 / Max: 26.071. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

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: 9 - Compression SpeedLinux 6.8Linux 6.9-rc2816243240SE +/- 0.08, N = 3SE +/- 0.07, N = 332.6132.661. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Compression SpeedLinux 6.8Linux 6.9-rc2714212835Min: 32.51 / Avg: 32.61 / Max: 32.77Min: 32.54 / Avg: 32.66 / Max: 32.771. (CC) gcc options: -O3

OpenVINO

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.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc260120180240300Min: 329.82 / Avg: 331.23 / Max: 332.39Min: 329.1 / Avg: 330.73 / Max: 331.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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.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.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096Linux 6.8Linux 6.9-rc27K14K21K28K35KMin: 38132.2 / Avg: 38204.57 / Max: 38290.7Min: 38041.4 / Avg: 38147.43 / Max: 38326.91. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

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: 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: AVL TreeLinux 6.8Linux 6.9-rc2140280420560700Min: 803.64 / Avg: 810.19 / Max: 823.25Min: 806 / Avg: 808.99 / Max: 813.11. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

WavPack Audio Encoding

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.7WAV To WavPackLinux 6.8Linux 6.9-rc2246810SE +/- 0.023, N = 5SE +/- 0.019, N = 56.3496.340
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.7WAV To WavPackLinux 6.8Linux 6.9-rc23691215Min: 6.3 / Avg: 6.35 / Max: 6.42Min: 6.3 / Avg: 6.34 / Max: 6.41

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: 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: libx264 - Scenario: Video On DemandLinux 6.8Linux 6.9-rc2918273645Min: 42.81 / Avg: 42.94 / Max: 43.01Min: 42.69 / Avg: 42.88 / Max: 43.051. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MLinux 6.8Linux 6.9-rc22K4K6K8K10KSE +/- 31.05, N = 3SE +/- 42.79, N = 39592.39602.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MLinux 6.8Linux 6.9-rc217003400510068008500Min: 9536.1 / Avg: 9592.27 / Max: 9643.3Min: 9537.5 / Avg: 9602.7 / Max: 9683.31. (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-Heavy - Hash Count: 1MLinux 6.8Linux 6.9-rc26K12K18K24K30KMin: 32770.8 / Avg: 32856.33 / Max: 32943.5Min: 32598.8 / Avg: 32826.1 / Max: 33135.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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: UploadLinux 6.8Linux 6.9-rc23691215SE +/- 0.01, N = 3SE +/- 0.01, N = 311.5011.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: UploadLinux 6.8Linux 6.9-rc23691215Min: 11.49 / Avg: 11.5 / Max: 11.52Min: 11.5 / Avg: 11.51 / Max: 11.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: 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
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MLinux 6.8Linux 6.9-rc26K12K18K24K30KMin: 32822.4 / Avg: 33002.2 / Max: 33203.8Min: 32742.9 / Avg: 32993.8 / Max: 33318.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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 - Compression SpeedLinux 6.8Linux 6.9-rc2110220330440550Min: 600.42 / Avg: 602.69 / Max: 604.13Min: 602.26 / Avg: 602.54 / Max: 602.831. (CC) gcc options: -O3

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: ReadLinux 6.8Linux 6.9-rc22K4K6K8K10KMin: 13343.66 / Avg: 13344.7 / Max: 13345.3Min: 13339.77 / Avg: 13341.47 / Max: 13342.71. (CC) gcc options: -O3 -lrt

OSPRay Studio

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: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc211K22K33K44K55KMin: 61606 / Avg: 63513.71 / Max: 66228Min: 62027 / Avg: 63529.33 / Max: 65093

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: PlatformLinux 6.8Linux 6.9-rc21020304050SE +/- 0.17, N = 3SE +/- 0.10, N = 342.7642.771. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: PlatformLinux 6.8Linux 6.9-rc2918273645Min: 42.42 / Avg: 42.76 / Max: 43Min: 42.66 / Avg: 42.77 / Max: 42.971. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: 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 - Compression SpeedLinux 6.8Linux 6.9-rc220406080100Min: 98.31 / Avg: 98.43 / Max: 98.52Min: 98.29 / Avg: 98.41 / Max: 98.491. (CC) gcc options: -O3

OpenVINO

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
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPULinux 6.8Linux 6.9-rc212345Min: 0.36 / Avg: 0.38 / Max: 0.43Min: 0.36 / Avg: 0.38 / Max: 0.41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

MariaDB mariadb-slap

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB mariadb-slap 11.5Clients: 512Linux 6.8Linux 6.9-rc220406080100SE +/- 0.41, N = 3SE +/- 0.87, N = 986861. (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: 512Linux 6.8Linux 6.9-rc21632486480Min: 85.28 / Avg: 86.01 / Max: 86.69Min: 82.76 / Avg: 86.17 / Max: 91.391. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

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: Quality 100, Lossless CompressionLinux 6.8Linux 6.9-rc20.01580.03160.04740.06320.079SE +/- 0.00, N = 3SE +/- 0.00, N = 30.070.071. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionLinux 6.8Linux 6.9-rc212345Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.07 / Avg: 0.07 / Max: 0.071. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

ONNX Runtime

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

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc23691215SE +/- 0.20919, N = 12SE +/- 0.21896, N = 159.015388.231211. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc23691215Min: 8.1 / Avg: 9.02 / Max: 10.07Min: 7.46 / Avg: 8.23 / Max: 9.971. (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 6.8Linux 6.9-rc2306090120150SE +/- 2.58, N = 12SE +/- 3.02, N = 15111.57122.601. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc23691215SE +/- 0.20919, N = 12SE +/- 0.21896, N = 159.015388.231211. (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 6.8Linux 6.9-rc220406080100Min: 99.34 / Avg: 111.57 / Max: 123.41Min: 100.28 / Avg: 122.6 / Max: 134.091. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc21020304050SE +/- 0.81, N = 12SE +/- 0.86, N = 1542.7841.501. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc2918273645Min: 39.16 / Avg: 42.78 / Max: 47.49Min: 37.7 / Avg: 41.5 / Max: 47.91. (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 6.8Linux 6.9-rc2612182430SE +/- 0.43, N = 12SE +/- 0.48, N = 1523.4624.231. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc21020304050SE +/- 0.81, N = 12SE +/- 0.86, N = 1542.7841.501. (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 6.8Linux 6.9-rc2612182430Min: 21.06 / Avg: 23.46 / Max: 25.54Min: 20.88 / Avg: 24.23 / Max: 26.521. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc250100150200250SE +/- 11.46, N = 12SE +/- 1.80, N = 3231.28184.791. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc24080120160200Min: 189.13 / Avg: 231.28 / Max: 288.64Min: 182.44 / Avg: 184.79 / Max: 188.331. (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 6.8Linux 6.9-rc21.21782.43563.65344.87126.089SE +/- 0.20811, N = 12SE +/- 0.05231, N = 34.436495.412591. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc250100150200250SE +/- 11.46, N = 12SE +/- 1.80, N = 3231.28184.791. (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 6.8Linux 6.9-rc2246810Min: 3.46 / Avg: 4.44 / Max: 5.29Min: 5.31 / Avg: 5.41 / Max: 5.481. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2160320480640800SE +/- 25.74, N = 15SE +/- 14.65, N = 12747.08668.701. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2130260390520650Min: 610.95 / Avg: 747.08 / Max: 916.61Min: 615.36 / Avg: 668.7 / Max: 762.921. (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 6.8Linux 6.9-rc20.33820.67641.01461.35281.691SE +/- 0.04472, N = 15SE +/- 0.03151, N = 121.359941.503001. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelLinux 6.8Linux 6.9-rc2160320480640800SE +/- 25.74, N = 15SE +/- 14.65, N = 12747.08668.701. (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 6.8Linux 6.9-rc2246810Min: 1.09 / Avg: 1.36 / Max: 1.64Min: 1.31 / Avg: 1.5 / Max: 1.631. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc21632486480SE +/- 2.24, N = 12SE +/- 2.28, N = 1570.9666.001. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc21428425670Min: 54.79 / Avg: 70.96 / Max: 82.06Min: 55.02 / Avg: 66 / Max: 79.781. (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: bertsquad-12 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc248121620SE +/- 0.50, N = 12SE +/- 0.54, N = 1514.2715.411. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc21632486480SE +/- 2.24, N = 12SE +/- 2.28, N = 1570.9666.001. (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 6.8Linux 6.9-rc248121620Min: 12.19 / Avg: 14.27 / Max: 18.25Min: 12.53 / Avg: 15.41 / Max: 18.171. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc20.65141.30281.95422.60563.257SE +/- 0.12453, N = 15SE +/- 0.01855, N = 32.895012.482341. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc2246810Min: 2.46 / Avg: 2.9 / Max: 3.77Min: 2.46 / Avg: 2.48 / Max: 2.521. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc290180270360450SE +/- 14.02, N = 15SE +/- 3.01, N = 3353.57402.671. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc20.65141.30281.95422.60563.257SE +/- 0.12453, N = 15SE +/- 0.01855, N = 32.895012.482341. (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 6.8Linux 6.9-rc270140210280350Min: 265.29 / Avg: 353.57 / Max: 406.48Min: 396.72 / Avg: 402.67 / Max: 406.451. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc2306090120150SE +/- 2.31, N = 15SE +/- 1.33, N = 13122.24112.431. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc220406080100Min: 106.47 / Avg: 122.24 / Max: 135.26Min: 104.1 / Avg: 112.43 / Max: 120.051. (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 6.8Linux 6.9-rc2246810SE +/- 0.16273, N = 15SE +/- 0.10643, N = 138.223518.909361. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: StandardLinux 6.8Linux 6.9-rc2306090120150SE +/- 2.31, N = 15SE +/- 1.33, N = 13122.24112.431. (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 6.8Linux 6.9-rc23691215Min: 7.39 / Avg: 8.22 / Max: 9.39Min: 8.33 / Avg: 8.91 / Max: 9.611. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 6.8Linux 6.9-rc20.17550.3510.52650.7020.8775SE +/- 0.01, N = 15SE +/- 0.03, N = 30.780.71MIN: 0.3 / MAX: 138.08MIN: 0.32 / MAX: 74.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 6.8Linux 6.9-rc2246810Min: 0.72 / Avg: 0.78 / Max: 0.84Min: 0.66 / Avg: 0.71 / Max: 0.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Blender

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: Barbershop - Compute: CPU-OnlyLinux 6.8Linux 6.9-rc250100150200250Min: 249.51 / Avg: 271.99 / Max: 302.23Min: 262.65 / Avg: 279.74 / Max: 312.46

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: Glibc C String FunctionsLinux 6.8Linux 6.9-rc220M40M60M80M100MSE +/- 2138024.53, N = 13SE +/- 1504028.14, N = 1580643523.2485035507.551. (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 6.8Linux 6.9-rc215M30M45M60M75MMin: 56423773.21 / Avg: 80643523.24 / Max: 86903860.46Min: 78762589.99 / Avg: 85035507.55 / Max: 101856587.951. (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: Vector Floating PointLinux 6.8Linux 6.9-rc240K80K120K160K200KMin: 173368 / Avg: 234669.74 / Max: 244620.56Min: 138822.38 / Avg: 230503.34 / Max: 253860.891. (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: Fused Multiply-AddLinux 6.8Linux 6.9-rc240M80M120M160M200MMin: 189121670.73 / Avg: 204365411.59 / Max: 249896559.51Min: 166011504.98 / Avg: 200468629.32 / Max: 2294149111. (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 6.8Linux 6.9-rc27K14K21K28K35KSE +/- 669.33, N = 15SE +/- 437.41, N = 1531442.6931460.421. (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 6.8Linux 6.9-rc25K10K15K20K25KMin: 29829.5 / Avg: 31442.69 / Max: 38571.65Min: 30346.56 / Avg: 31460.42 / Max: 37089.941. (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: Floating PointLinux 6.8Linux 6.9-rc25K10K15K20K25KMin: 23607.4 / Avg: 29600.02 / Max: 31592.19Min: 28569.69 / Avg: 29139.6 / Max: 30703.731. (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 6.8Linux 6.9-rc280K160K240K320K400KSE +/- 4925.11, N = 15SE +/- 9278.38, N = 12384748.54392750.091. (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: Matrix MathLinux 6.8Linux 6.9-rc270K140K210K280K350KMin: 364151.44 / Avg: 384748.54 / Max: 424991.22Min: 362090.91 / Avg: 392750.09 / Max: 4714591. (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: MallocLinux 6.8Linux 6.9-rc230M60M90M120M150MMin: 163156317.95 / Avg: 163551396.4 / Max: 163818188.26Min: 152920426.85 / Avg: 161652700.09 / Max: 197690253.651. (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 6.8Linux 6.9-rc2150300450600750SE +/- 14.68, N = 15SE +/- 5.94, N = 8688.26688.761. (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 6.8Linux 6.9-rc2120240360480600Min: 670.63 / Avg: 688.26 / Max: 893.49Min: 678.8 / Avg: 688.76 / Max: 728.491. (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: PipeLinux 6.8Linux 6.9-rc25M10M15M20M25MMin: 25118542.17 / Avg: 30377557.97 / Max: 35408658.56Min: 24507990.51 / Avg: 29814480.67 / Max: 58382980.491. (CXX) g++ options: -lm -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz

TensorFlow

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: GoogLeNetLinux 6.8Linux 6.9-rc21326395265SE +/- 1.31, N = 12SE +/- 1.24, N = 1258.5058.83
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: GoogLeNetLinux 6.8Linux 6.9-rc21224364860Min: 53.07 / Avg: 58.5 / Max: 69.05Min: 51.38 / Avg: 58.83 / Max: 64.46

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50Linux 6.8Linux 6.9-rc20.42750.8551.28251.712.1375SE +/- 0.03, N = 15SE +/- 0.03, N = 151.881.90
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50Linux 6.8Linux 6.9-rc2246810Min: 1.65 / Avg: 1.88 / Max: 2.13Min: 1.66 / Avg: 1.9 / Max: 2.07

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: GoogLeNetLinux 6.8Linux 6.9-rc2246810Min: 5.46 / Avg: 6.05 / Max: 7.02Min: 5.32 / Avg: 5.98 / Max: 6.95

MariaDB mariadb-slap

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB mariadb-slap 11.5Clients: 1024Linux 6.8Linux 6.9-rc2816243240SE +/- 1.23, N = 9SE +/- 1.41, N = 634361. (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 6.8Linux 6.9-rc2816243240Min: 30.57 / Avg: 34.19 / Max: 43.22Min: 29.77 / Avg: 36.25 / Max: 39.811. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++

OSPRay Studio

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: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc23K6K9K12K15KMin: 13942 / Avg: 14835.67 / Max: 17063Min: 14120 / Avg: 15414.73 / Max: 17087

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: 16 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc213002600390052006500Min: 7201 / Avg: 7402 / Max: 7559Min: 6963 / Avg: 7505.73 / Max: 8565

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc2400800120016002000SE +/- 40.26, N = 15SE +/- 22.91, N = 1518011774
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPULinux 6.8Linux 6.9-rc230060090012001500Min: 1660 / Avg: 1800.87 / Max: 2211Min: 1679 / Avg: 1773.8 / Max: 2040

oneDNN

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 Training - Engine: CPULinux 6.8Linux 6.9-rc22K4K6K8K10KMin: 4790.9 / Avg: 4821.32 / Max: 4865.7Min: 7116.6 / Avg: 10195.75 / Max: 12117.81. (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 6.8Linux 6.9-rc2246810SE +/- 0.10591, N = 15SE +/- 0.04472, N = 36.165765.78202MIN: 3.75MIN: 3.811. (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 6.8Linux 6.9-rc2246810Min: 5.49 / Avg: 6.17 / Max: 6.77Min: 5.71 / Avg: 5.78 / Max: 5.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: 500MLinux 6.8Linux 6.9-rc2246810SE +/- 0.143, N = 12SE +/- 0.083, N = 156.4836.202
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MLinux 6.8Linux 6.9-rc23691215Min: 5.82 / Avg: 6.48 / Max: 7.55Min: 5.66 / Avg: 6.2 / Max: 6.78

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BLinux 6.8Linux 6.9-rc23691215SE +/- 0.30, N = 15SE +/- 0.24, N = 1513.4213.34
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BLinux 6.8Linux 6.9-rc248121620Min: 12.19 / Avg: 13.42 / Max: 16.18Min: 12.47 / Avg: 13.33 / Max: 15.31

Timed Mesa Compilation

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileLinux 6.8Linux 6.9-rc2510152025Min: 17.55 / Avg: 19.51 / Max: 22.26Min: 17.56 / Avg: 19.89 / Max: 21.33

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileLinux 6.8Linux 6.9-rc248121620Min: 16.03 / Avg: 17.24 / Max: 21.87Min: 15.9 / Avg: 17.28 / Max: 22.2

Stockfish

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkLinux 6.8Linux 6.9-rc214M28M42M56M70MSE +/- 2993041.97, N = 9SE +/- 2705883.43, N = 961999717644430991. (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
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkLinux 6.8Linux 6.9-rc211M22M33M44M55MMin: 48014524 / Avg: 61999717.22 / Max: 75476940Min: 49400530 / Avg: 64443099 / Max: 723116671. (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

OSPRay

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: particle_volume/pathtracer/real_timeLinux 6.8Linux 6.9-rc220406080100Min: 90.18 / Avg: 102.95 / Max: 112.87Min: 90.47 / Avg: 98.87 / Max: 107.19

VVenC

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 4K - Video Preset: FasterLinux 6.8Linux 6.9-rc23691215Min: 8.73 / Avg: 9.85 / Max: 10.84Min: 8.19 / Avg: 9.52 / Max: 10.691. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

SVT-AV1

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 13 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc220406080100Min: 104.97 / Avg: 123.25 / Max: 143.14Min: 89.32 / Avg: 123.1 / Max: 147.881. (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 12 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc220406080100Min: 94.71 / Avg: 127.2 / Max: 150.63Min: 90.51 / Avg: 126.19 / Max: 150.651. (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 8 - Input: Bosphorus 4KLinux 6.8Linux 6.9-rc21020304050Min: 43.12 / Avg: 48.94 / Max: 56.45Min: 41.67 / Avg: 48.57 / Max: 56.661. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjLinux 6.8Linux 6.9-rc2918273645SE +/- 0.94, N = 15SE +/- 0.88, N = 1536.4437.43MIN: 22.56 / MAX: 49.05MIN: 27.23 / MAX: 49.01
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjLinux 6.8Linux 6.9-rc2816243240Min: 31.27 / Avg: 36.44 / Max: 45.43Min: 32.08 / Avg: 37.43 / Max: 44.2

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonLinux 6.8Linux 6.9-rc2816243240SE +/- 0.77, N = 13SE +/- 0.82, N = 1531.6032.83MIN: 20.8 / MAX: 52.83MIN: 22.56 / MAX: 48.16
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonLinux 6.8Linux 6.9-rc2714212835Min: 26.15 / Avg: 31.6 / Max: 35.39Min: 25.26 / Avg: 32.83 / Max: 36.5

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 - Model: Asian Dragon ObjLinux 6.8Linux 6.9-rc2816243240Min: 33.25 / Avg: 39.82 / Max: 45.68Min: 32.19 / Avg: 36.5 / Max: 39.45

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian DragonLinux 6.8Linux 6.9-rc2816243240SE +/- 0.86, N = 15SE +/- 0.54, N = 1535.4035.65MIN: 23.5 / MAX: 52.61MIN: 24.54 / MAX: 51.88
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian DragonLinux 6.8Linux 6.9-rc2816243240Min: 26.95 / Avg: 35.4 / Max: 39.75Min: 30.66 / Avg: 35.65 / Max: 39.93

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 ISPC - Model: CrownLinux 6.8Linux 6.9-rc2816243240Min: 37.73 / Avg: 38.84 / Max: 39.7Min: 24.09 / Avg: 35.73 / Max: 41.67

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 - Model: CrownLinux 6.8Linux 6.9-rc2816243240Min: 31.09 / Avg: 36.6 / Max: 39.94Min: 28.14 / Avg: 35.08 / Max: 41.32

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
OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240219Test: PDSCH Processor Benchmark, Throughput TotalLinux 6.8Linux 6.9-rc23K6K9K12K15KMin: 14046 / Avg: 17006.77 / Max: 18404Min: 12950.8 / Avg: 16877.58 / Max: 17847.51. (CXX) g++ options: -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -O3 -fno-trapping-math -fno-math-errno -ldl

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: DefaultLinux 6.8Linux 6.9-rc2246810Min: 4.96 / Avg: 5.9 / Max: 6.43Min: 4.94 / Avg: 5.65 / Max: 6.131. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

JPEG-XL libjxl

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: 80Linux 6.8Linux 6.9-rc2714212835Min: 32.28 / Avg: 34.6 / Max: 38.1Min: 31.32 / Avg: 34.19 / Max: 37.851. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

FFmpeg

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

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveLinux 6.8Linux 6.9-rc2306090120150SE +/- 1.36, N = 15SE +/- 1.80, N = 15112.43113.991. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveLinux 6.8Linux 6.9-rc220406080100Min: 105.9 / Avg: 112.43 / Max: 124.31Min: 100.03 / Avg: 113.99 / Max: 125.221. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

242 Results Shown

Hackbench
Stress-NG
OpenVINO
FFmpeg
TensorFlow
ONNX Runtime:
  Faster R-CNN R-50-FPN-int8 - CPU - Standard
  T5 Encoder - CPU - Parallel
Stress-NG
ONNX Runtime
TensorFlow:
  CPU - 64 - AlexNet
  CPU - 64 - GoogLeNet
OpenVINO:
  Vehicle Detection FP16 - CPU:
    FPS
    ms
Stress-NG
WebP2 Image Encode
Stress-NG
OpenVINO:
  Person Detection FP32 - CPU:
    FPS
    ms
ONNX Runtime
Intel Open Image Denoise
Stress-NG
OpenVINO
JPEG-XL libjxl
ONNX Runtime
OpenVINO
Stress-NG
ONNX Runtime
OpenSSL
OSPRay
Stress-NG
OpenVINO
Llama.cpp
OpenVINO
Blender
OpenVINO:
  Road Segmentation ADAS FP16 - CPU:
    ms
    FPS
OSPRay Studio
Stress-NG
OSPRay
WebP2 Image Encode
OSPRay
TensorFlow
OpenSSL
JPEG-XL libjxl
Stress-NG
Llama.cpp
GROMACS
VVenC
Hackbench
OSPRay Studio
Llamafile
OSPRay Studio
RocksDB
OSPRay Studio
Stress-NG:
  Zlib
  Memory Copying
Intel Open Image Denoise
oneDNN
BRL-CAD
OSPRay Studio
Blender
OSPRay Studio
Timed Linux Kernel Compilation
Xmrig
OpenVINO
TensorFlow
OpenVINO
Intel Open Image Denoise
Hackbench
OSPRay
SVT-AV1
Llamafile
JPEG-XL libjxl
Primesieve
oneDNN
ONNX Runtime
OpenVINO
OSPRay Studio
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Face Detection FP16 - CPU
ONNX Runtime
TensorFlow
OSPRay Studio
Stress-NG
OSPRay Studio
Stress-NG
VVenC
Quicksilver
SVT-AV1
Chaos Group V-RAY
Timed Linux Kernel Compilation
OpenVINO
LZ4 Compression
Stress-NG
TensorFlow
FFmpeg
TensorFlow:
  CPU - 32 - ResNet-50
  CPU - 16 - AlexNet
OpenVINO
Google Draco
OpenVINO
Speedb
TensorFlow
JPEG-XL Decoding libjxl
WebP2 Image Encode
OSPRay Studio
Speedb
ONNX Runtime
Stress-NG
RocksDB
ONNX Runtime
OpenSSL
Blender
oneDNN
CacheBench
Blender
Speedb:
  Rand Fill Sync
  Seq Fill
LZ4 Compression
Stress-NG
OSPRay
Stress-NG
VVenC
oneDNN
Xmrig
OpenVINO:
  Person Re-Identification Retail FP16 - CPU:
    FPS
    ms
TensorFlow:
  CPU - 256 - GoogLeNet
  CPU - 256 - ResNet-50
ONNX Runtime
Stress-NG:
  Wide Vector Math
  Mixed Scheduler
Speedb
OpenVINO:
  Handwritten English Recognition FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
RocksDB
LZ4 Compression
OpenVINO
OSPRay Studio
Stress-NG
Speedb
OpenVINO
CacheBench
Primesieve
OpenVINO:
  Face Detection Retail FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
FFmpeg
OSPRay Studio
FFmpeg
OpenVINO:
  Face Detection Retail FP16 - CPU:
    FPS
    ms
RocksDB
OpenVINO
OSPRay Studio
Blender
ONNX Runtime
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
oneDNN
Xmrig
JPEG-XL libjxl
Google Draco
Quicksilver
OSPRay Studio
OpenVINO
JPEG-XL libjxl
LZ4 Compression
OpenVINO
OpenSSL
Stress-NG
WavPack Audio Encoding
FFmpeg
Xmrig:
  GhostRider - 1M
  CryptoNight-Heavy - 1M
FFmpeg
Xmrig
LZ4 Compression
CacheBench
OSPRay Studio
FFmpeg
LZ4 Compression
OpenVINO
MariaDB mariadb-slap
WebP2 Image Encode
ONNX Runtime:
  ResNet50 v1-12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  ArcFace ResNet-100 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  fcn-resnet101-11 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  fcn-resnet101-11 - CPU - Parallel:
    Inference Time Cost (ms)
    Inferences Per Second
  bertsquad-12 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  T5 Encoder - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  yolov4 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
OpenVINO
Blender
Stress-NG:
  Glibc C String Functions
  Vector Floating Point
  Fused Multiply-Add
  Matrix 3D Math
  Floating Point
  Matrix Math
  Malloc
  MEMFD
  Pipe
TensorFlow:
  CPU - 16 - GoogLeNet
  CPU - 1 - ResNet-50
  CPU - 1 - GoogLeNet
MariaDB mariadb-slap
OSPRay Studio:
  2 - 1080p - 32 - Path Tracer - CPU
  2 - 1080p - 16 - Path Tracer - CPU
  1 - 4K - 1 - Path Tracer - CPU
oneDNN:
  Recurrent Neural Network Training - CPU
  Deconvolution Batch shapes_3d - CPU
Y-Cruncher:
  500M
  1B
Timed Mesa Compilation
Timed FFmpeg Compilation
Stockfish
OSPRay
VVenC
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer - Asian Dragon
  Pathtracer ISPC - Crown
  Pathtracer - Crown
srsRAN Project
WebP2 Image Encode
JPEG-XL libjxl
FFmpeg

Linux 6.8

Processor: 2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads), Motherboard: Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Network: 2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb

OS: Ubuntu 23.10, Kernel: 6.8.0-060800-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c000290
Python Notes: Python 3.11.6
Security Notes: 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

Testing initiated at 29 March 2024 19:39 by user phoronix.

Linux 6.9-rc2

Processor: 2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads), Motherboard: Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Network: 2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb

OS: Ubuntu 23.10, Kernel: 6.9.0-060900rc2-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c000290
Python Notes: Python 3.11.6
Security Notes: 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

Testing initiated at 1 April 2024 10:41 by user phoronix.