Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite.
a Kernel Notes: Transparent Huge Pages: madviseCompiler 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.4.9Java Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
b Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 22.04, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200
c OS: Ubuntu 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xac - Thermald 2.4.9Java Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Mitigation of Microcode + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
tgls OpenBenchmarking.org Phoronix Test Suite Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads) Dell 0DXP1F (3.7.0 BIOS) Intel Tiger Lake-LP 16GB Micron 2300 NVMe 512GB Intel Xe TGL GT2 15GB (1350MHz) Realtek ALC289 Intel Wi-Fi 6 AX201 Ubuntu 22.04 5.19.0-46-generic (x86_64) 6.2.0-36-generic (x86_64) GNOME Shell 42.2 X Server + Wayland 4.6 Mesa 22.0.1 OpenCL 3.0 1.3.204 GCC 11.4.0 ext4 1920x1200 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernels Desktop Display Server OpenGL OpenCL Vulkan Compiler File-System Screen Resolution Tgls Performance System 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 - a: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.4.9 - b: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.4.9 - c: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xac - Thermald 2.4.9 - OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04) - Python 3.10.12 - a: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - b: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - c: gather_data_sampling: Mitigation of Microcode + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
a b c Logarithmic Result Overview Phoronix Test Suite NCNN Apache Cassandra Stress-NG OpenVKL QMCPACK OpenVINO easyWave Neural Magic DeepSparse DaCapo Benchmark QuantLib Cpuminer-Opt C-Blosc Timed GCC Compilation SVT-AV1 BRL-CAD Embree VVenC FFmpeg libavif avifenc Timed FFmpeg Compilation Timed Gem5 Compilation CloverLeaf oneDNN OpenRadioss Intel Open Image Denoise OSPRay Studio
tgls stress-ng: Hash stress-ng: MMAP stress-ng: NUMA stress-ng: Pipe stress-ng: Poll stress-ng: Zlib stress-ng: Futex stress-ng: MEMFD stress-ng: Mutex stress-ng: Atomic stress-ng: Crypto stress-ng: Malloc stress-ng: Cloning stress-ng: Forking stress-ng: Pthread stress-ng: AVL Tree stress-ng: IO_uring stress-ng: SENDFILE stress-ng: CPU Cache stress-ng: CPU Stress stress-ng: Semaphores stress-ng: Matrix Math stress-ng: Vector Math stress-ng: AVX-512 VNNI stress-ng: Function Call stress-ng: x86_64 RdRand stress-ng: Floating Point stress-ng: Matrix 3D Math stress-ng: Memory Copying stress-ng: Vector Shuffle stress-ng: Mixed Scheduler stress-ng: Socket Activity stress-ng: Wide Vector Math stress-ng: Context Switching stress-ng: Fused Multiply-Add stress-ng: Vector Floating Point stress-ng: Glibc C String Functions stress-ng: Glibc Qsort Data Sorting stress-ng: System V Message Passing ffmpeg: libx264 - Live ffmpeg: libx265 - Live ffmpeg: libx264 - Upload ffmpeg: libx265 - Upload ffmpeg: libx264 - Platform ffmpeg: libx265 - Platform ffmpeg: libx264 - Video On Demand ffmpeg: libx265 - Video On Demand openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RTLightmap.hdr.4096x4096 - CPU-Only openvkl: vklBenchmarkCPU ISPC openvkl: vklBenchmarkCPU Scalar deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream cpuminer-opt: Magi cpuminer-opt: scrypt cpuminer-opt: Deepcoin cpuminer-opt: Ringcoin cpuminer-opt: Blake-2 S cpuminer-opt: Garlicoin cpuminer-opt: Skeincoin cpuminer-opt: Myriad-Groestl cpuminer-opt: LBC, LBRY Credits cpuminer-opt: Quad SHA-256, Pyrite cpuminer-opt: Triple SHA-256, Onecoin blosc: blosclz shuffle - 8MB blosc: blosclz shuffle - 16MB blosc: blosclz shuffle - 32MB blosc: blosclz shuffle - 64MB blosc: blosclz noshuffle - 8MB blosc: blosclz shuffle - 128MB blosc: blosclz shuffle - 256MB blosc: blosclz bitshuffle - 8MB blosc: blosclz noshuffle - 16MB blosc: blosclz noshuffle - 32MB blosc: blosclz noshuffle - 64MB blosc: blosclz bitshuffle - 16MB blosc: blosclz bitshuffle - 32MB blosc: blosclz bitshuffle - 64MB blosc: blosclz noshuffle - 128MB blosc: blosclz noshuffle - 256MB blosc: blosclz bitshuffle - 128MB blosc: blosclz bitshuffle - 256MB quantlib: Multi-Threaded quantlib: Single-Threaded cassandra: Writes brl-cad: VGR Performance Metric onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU ospray-studio: 1 - 4K - 1 - Path Tracer - CPU ospray-studio: 2 - 4K - 1 - Path Tracer - CPU ospray-studio: 3 - 4K - 1 - Path Tracer - CPU ospray-studio: 1 - 4K - 16 - Path Tracer - CPU ospray-studio: 1 - 4K - 32 - Path Tracer - CPU ospray-studio: 2 - 4K - 16 - Path Tracer - CPU ospray-studio: 2 - 4K - 32 - Path Tracer - CPU ospray-studio: 3 - 4K - 16 - Path Tracer - CPU ospray-studio: 3 - 4K - 32 - Path Tracer - CPU ospray-studio: 1 - 1080p - 1 - Path Tracer - CPU ospray-studio: 2 - 1080p - 1 - Path Tracer - CPU ospray-studio: 3 - 1080p - 1 - Path Tracer - CPU ospray-studio: 1 - 1080p - 16 - Path Tracer - CPU ospray-studio: 1 - 1080p - 32 - Path Tracer - CPU ospray-studio: 2 - 1080p - 16 - Path Tracer - CPU ospray-studio: 2 - 1080p - 32 - Path Tracer - CPU ospray-studio: 3 - 1080p - 16 - Path Tracer - CPU ospray-studio: 3 - 1080p - 32 - Path Tracer - CPU ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m ncnn: CPU - vision_transformer ncnn: CPU - FastestDet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - regnety_400m ncnn: Vulkan GPU - vision_transformer ncnn: Vulkan GPU - FastestDet openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream dacapobench: Jython dacapobench: Eclipse dacapobench: GraphChi dacapobench: Tradesoap dacapobench: Tradebeans dacapobench: Spring Boot dacapobench: Apache Kafka dacapobench: Apache Tomcat dacapobench: jMonkeyEngine dacapobench: Apache Cassandra dacapobench: Apache Xalan XSLT dacapobench: Batik SVG Toolkit dacapobench: H2 Database Engine dacapobench: FOP Print Formatter dacapobench: PMD Source Code Analyzer dacapobench: Apache Lucene Search Index dacapobench: Apache Lucene Search Engine dacapobench: Avrora AVR Simulation Framework dacapobench: BioJava Biological Data Framework dacapobench: Zxing 1D/2D Barcode Image Processing dacapobench: H2O In-Memory Platform For Machine Learning cloverleaf: clover_bm cloverleaf: clover_bm64_short openradioss: Cell Phone Drop Test openradioss: Bird Strike on Windshield openradioss: Rubber O-Ring Seal Installation easywave: e2Asean Grid + BengkuluSept2007 Source - 240 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 avifenc: 0 avifenc: 2 avifenc: 6 avifenc: 6, Lossless avifenc: 10, Lossless build-ffmpeg: Time To Compile build-gcc: Time To Compile build-gem5: Time To Compile qmcpack: H4_ae qmcpack: Li2_STO_ae qmcpack: LiH_ae_MSD qmcpack: simple-H2O qmcpack: O_ae_pyscf_UHF qmcpack: FeCO6_b3lyp_gms a b c 814204.59 69.5 91.38 3286500.94 583755.41 339.75 1556806.04 151.83 1800239.74 297.71 7870.33 1275453.62 773.96 19571.06 87060.44 38 335053.51 74606.13 788775.98 8190.18 8568428.8 19810.07 19001.52 575521.32 2533.58 1190.72 1644.27 1503.69 1450.68 40150.8 3933.3 6702.46 259593.94 1325769.49 4206478.3 11875.81 3597888.5 104.16 6382311.82 189.77 79.05 13.29 12.63 50.35 26.42 49.70 26.42 1.11 11.52 11.59 83.21 4.05 271.08 41.06 222.27 105.49 660.54 81 13.9 384.36 145.83 53.07 2874.25 61.12 8360.99 4.1966 4.9067 4.8695 4.4332 6.1486 5.2742 1.209 14.86 37.702 42.302 4.593 42.127 191.606 290.542 1.738 3.843 5.428 13.201 0.15 0.15 0.07 124 41 3.9794 164.3389 63.8512 16.4408 54.411 423.4998 21.3453 4.2577 53.8907 23.0079 27.6648 6.8296 68.7416 14.6802 3.3887 79.32 44.52 992.85 526.74 18920 530.61 3997.83 1627.74 1723.39 8552.11 9651.39 10149.8 8877.9 8499.9 7801.5 9850.2 6629.3 5080.8 9769.5 8558.6 8124.8 7456.9 9000.6 8299.4 7691.6 6398.4 4883.8 6601.2 5086.8 13707 3489.3 43984 54646 6.76989 6.08399 1.5893 2.40204 21.4412 5.96832 8.49762 11.3325 9.87897 7.88294 2.15486 2.45216 7128.22 3701.08 7179.51 50.8812 42.983 35.7172 3671.69 7189.12 3703.86 26473 31575 33081 429631 858149 436532 869726 514920 1025430 6673 6768 7982 111136 217399 112613 221087 132433 260252 18.82 4.42 3.5 3.45 3.77 7.17 1.29 13.84 49.76 9.44 7.44 23.94 26.69 11.91 10.75 185.96 5.05 18.97 4.39 3.48 3.4 3.77 5.61 0.92 11.36 47.81 8.36 6.81 23.98 26.68 11.9 8.05 182.09 4.83 3600.29 346.37 344.94 48.04 985.39 14.73 97.39 17.97 37.89 6.04 49.36 287.28 10.38 27.41 75.35 1.37 65.4 0.47 501.8987 12.139 31.2889 121.4974 36.725 4.6989 93.6543 469.6783 37.0815 86.8994 72.268 292.8017 29.051 136.2099 590.1719 4755 14549 4418 2943 7683 5151 5346 14326 6914 7845 1248 1392 5250 709 3315 3397 6558 2554 6163 3123 3223 117.10 206.97 245.14 653.24 482.8 10.613 189.03 381.267 168.165 14.727 22.311 9.678 128.964 2337.786 1296.126 76.19 687.22 83.217 31.221 222.05 110.52 761130.78 69.31 90.4 2941192.56 577995.91 328.6 1573811.12 163.56 1732350.97 298.85 7909.16 1281240.89 801.63 17963.97 83444.87 38.26 350882.75 58965.05 614301.31 7691.29 7131559.06 18411.16 15774.03 467858.43 2144.47 1175.31 1377.23 1497.3 1175.93 34114.33 3841.89 4404.68 230331.68 1291162.21 3753786.13 9743.95 3169430.98 85.03 5221036.03 185.32 79.50 13.26 12.69 51.03 26.40 50.01 26.43 1.07 10.81 10.78 77.29 3.75 261.21 38.82 211.09 97.09 606.16 75.63 12.79 366.17 137.2 47.86 2834.17 54.46 7457.91 4.2047 4.9376 4.8785 4.4038 6.1218 5.2679 1.211 14.841 37.903 42.441 4.801 41.54 189.286 289.778 1.733 3.858 5.415 13.207 0.15 0.15 0.07 124 40 3.9535 157.5828 63.8942 16.3077 54.3057 391.9655 22.5938 4.2784 53.7706 21.5687 30.1633 6.7467 71.4338 13.7748 3.5666 78.74 36.67 1232.9 436.98 23420 451.17 5234.04 1337.88 2080.34 7883.39 9651.58 10851.9 9133.5 8751.4 8005.2 10107.7 6779.3 5182.4 10085.2 8842 8273.4 7472.9 9267.8 8646.1 7799.7 6413.8 5007.6 6738.5 5087.2 13689.3 3488.1 37649 54938 6.76791 6.09457 1.59378 2.44303 24.3748 5.92005 8.44523 10.2647 10.0704 8.05175 2.22896 2.44729 7138.73 3699.05 7178.23 51.0121 43.3943 35.7772 3680.74 7178.37 3697.25 26522 31507 33073 429276 856610 438395 870122 514145 1024292 6704 6786 7987 111078 218393 113201 222412 132979 261073 273.8 76.64 54.67 55.66 59.72 88.38 13.67 196.54 563.22 132.13 119.06 372.91 354.78 174.87 143.48 2056.91 57.01 282.29 75.3 66.64 54.38 62.71 86.3 21.67 184.62 542.46 130.84 122.08 354.34 347.17 177.2 132.95 2069.02 62.98 3719.15 369.62 370.73 51.72 1059.61 15.29 103.02 18.93 41.18 6.59 52.86 312.41 10.91 29.13 83.53 1.4 73.4 0.53 504.8649 12.66 31.2656 122.5885 36.7954 5.0779 88.4776 466.2515 37.1469 92.6993 66.2808 296.3991 27.9534 145.1634 560.7205 4585 14537 4400 2939 7183 5416 5341 14327 6893 7797 1438 1321 5440 702 3645 3655 6472 2524 6160 3195 3772 116.20 203.68 243.36 650.51 479.06 9.924 188.679 383.211 168.557 14.834 22.193 9.506 128.753 2342.485 1299.277 69.78 653.08 83.167 31.756 222.61 110.13 808351.87 36.33 67.68 2989197.58 577081.19 327.19 1409614.1 155.8 1454355.06 325.29 7843.28 1028677.94 773.35 15226.03 77712.52 38.6 335942.42 60163.92 541147.88 6915.21 9046086.62 16983.95 15404.09 497416.91 2126.84 1107.03 1350.58 1479.59 1179.3 33753.34 3666.05 5819.48 230559.53 1089870.73 4280472.18 8453.72 2687720.74 85.43 4574104.46 177.32 79.15 13.11 12.76 49.38 25.93 49.79 25.88 1.01 10.77 10.72 77.19 3.75 263.43 38.72 211.63 97.33 608.75 75.52 12.79 368 136.61 47.69 2763.4 55.2 7460.73 4.2112 4.6745 4.8776 4.4308 5.889 5.0433 1.175 14.759 33.441 43.136 4.25 38.791 221.835 288.155 1.679 3.711 5.343 13.174 0.15 0.15 0.07 105 37 3.8837 140.0582 61.0055 16.0836 53.9931 367.1136 21.6236 4.1156 53.6553 21.1279 27.9721 6.6347 56.8622 14.6976 3.3874 78.68 36.39 1185.5 436.97 22910 456.13 4034.91 1647.77 1755.69 7888.21 9653.77 9898.3 8841.6 8437.5 7884.2 9885.9 6665.5 5107.4 10073.9 8780.8 8221.1 7452.8 9052 8660 7839.9 6391.1 4922.9 6470.2 5010.3 13287 3375.6 37916 53711 7.39175 6.07427 1.5909 2.40573 22.2758 5.93496 8.47369 9.93517 10.0389 7.95953 2.18576 2.4729 7174.36 3703.5 7176.24 50.9697 43.1633 35.7339 3680.01 7178.94 3699.85 33836 31324 39043 470269 943953 476659 951381 561556 1119430 7343 7425 8722 122118 239831 123787 242527 145066 285007 265.17 71.04 56.24 59.68 63.8 91.44 17.89 180.35 534.25 149.31 141.51 349.97 336.66 174.48 127.58 1952.08 64.89 266.51 66.65 54.85 56.62 63.33 97.95 15.59 178.4 541.65 134.78 124.98 328.87 341.71 164.33 133.77 1933.05 55.01 3922.05 370.61 372.34 51.79 1061.06 15.17 103.24 18.88 41.07 6.56 52.94 312.33 10.86 29.26 83.82 1.43 72.42 0.53 514.9428 14.2479 32.7516 124.1804 37.0116 5.423 92.4501 485.9236 37.2447 94.6327 71.468 301.4003 35.1265 136.0052 590.3738 4654 14307 4428 2947 10909 5444 5351 14456 6876 7848 1264 1362 5419 690 3187 3541 6687 2612 6249 3198 3335 117.62 203.49 241.64 657.96 480.7 9.62 188.515 392.474 172.811 14.951 22.449 9.597 130.586 2374.917 1309.168 75.96 675.81 87.017 31.753 239.07 141.41 OpenBenchmarking.org
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: MMAP a b c 15 30 45 60 75 69.50 69.31 36.33 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: NUMA a b c 20 40 60 80 100 91.38 90.40 67.68 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Pipe a b c 700K 1400K 2100K 2800K 3500K 3286500.94 2941192.56 2989197.58 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Poll a b c 130K 260K 390K 520K 650K 583755.41 577995.91 577081.19 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Zlib a b c 70 140 210 280 350 339.75 328.60 327.19 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Futex a b c 300K 600K 900K 1200K 1500K 1556806.04 1573811.12 1409614.10 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: MEMFD a b c 40 80 120 160 200 151.83 163.56 155.80 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Mutex a b c 400K 800K 1200K 1600K 2000K 1800239.74 1732350.97 1454355.06 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Atomic a b c 70 140 210 280 350 297.71 298.85 325.29 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Crypto a b c 2K 4K 6K 8K 10K 7870.33 7909.16 7843.28 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Malloc a b c 300K 600K 900K 1200K 1500K 1275453.62 1281240.89 1028677.94 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Cloning a b c 200 400 600 800 1000 773.96 801.63 773.35 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Forking a b c 4K 8K 12K 16K 20K 19571.06 17963.97 15226.03 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Pthread a b c 20K 40K 60K 80K 100K 87060.44 83444.87 77712.52 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: AVL Tree a b c 9 18 27 36 45 38.00 38.26 38.60 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: IO_uring a b c 80K 160K 240K 320K 400K 335053.51 350882.75 335942.42 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: SENDFILE a b c 16K 32K 48K 64K 80K 74606.13 58965.05 60163.92 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: CPU Cache a b c 200K 400K 600K 800K 1000K 788775.98 614301.31 541147.88 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: CPU Stress a b c 2K 4K 6K 8K 10K 8190.18 7691.29 6915.21 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Semaphores a b c 2M 4M 6M 8M 10M 8568428.80 7131559.06 9046086.62 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Matrix Math a b c 4K 8K 12K 16K 20K 19810.07 18411.16 16983.95 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Vector Math a b c 4K 8K 12K 16K 20K 19001.52 15774.03 15404.09 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: AVX-512 VNNI a b c 120K 240K 360K 480K 600K 575521.32 467858.43 497416.91 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Function Call a b c 500 1000 1500 2000 2500 2533.58 2144.47 2126.84 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: x86_64 RdRand a b c 300 600 900 1200 1500 1190.72 1175.31 1107.03 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Floating Point a b c 400 800 1200 1600 2000 1644.27 1377.23 1350.58 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Matrix 3D Math a b c 300 600 900 1200 1500 1503.69 1497.30 1479.59 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Memory Copying a b c 300 600 900 1200 1500 1450.68 1175.93 1179.30 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Vector Shuffle a b c 9K 18K 27K 36K 45K 40150.80 34114.33 33753.34 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Mixed Scheduler a b c 800 1600 2400 3200 4000 3933.30 3841.89 3666.05 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Socket Activity a b c 1400 2800 4200 5600 7000 6702.46 4404.68 5819.48 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Wide Vector Math a b c 60K 120K 180K 240K 300K 259593.94 230331.68 230559.53 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Context Switching a b c 300K 600K 900K 1200K 1500K 1325769.49 1291162.21 1089870.73 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Fused Multiply-Add a b c 900K 1800K 2700K 3600K 4500K 4206478.30 3753786.13 4280472.18 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Vector Floating Point a b c 3K 6K 9K 12K 15K 11875.81 9743.95 8453.72 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Glibc C String Functions a b c 800K 1600K 2400K 3200K 4000K 3597888.50 3169430.98 2687720.74 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting a b c 20 40 60 80 100 104.16 85.03 85.43 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: System V Message Passing a b c 1.4M 2.8M 4.2M 5.6M 7M 6382311.82 5221036.03 4574104.46 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz
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.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Live a b c 40 80 120 160 200 189.77 185.32 177.32 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live a b c 20 40 60 80 100 79.05 79.50 79.15 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Upload a b c 3 6 9 12 15 13.29 13.26 13.11 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload a b c 3 6 9 12 15 12.63 12.69 12.76 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Platform a b c 12 24 36 48 60 50.35 51.03 49.38 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform a b c 6 12 18 24 30 26.42 26.40 25.93 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand a b c 11 22 33 44 55 49.70 50.01 49.79 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand a b c 6 12 18 24 30 26.42 26.43 25.88 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU a b c 0.2498 0.4996 0.7494 0.9992 1.249 1.11 1.07 1.01 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU a b c 3 6 9 12 15 11.52 10.81 10.77 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU a b c 3 6 9 12 15 11.59 10.78 10.72 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU a b c 20 40 60 80 100 83.21 77.29 77.19 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU a b c 0.9113 1.8226 2.7339 3.6452 4.5565 4.05 3.75 3.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU a b c 60 120 180 240 300 271.08 261.21 263.43 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU a b c 9 18 27 36 45 41.06 38.82 38.72 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 50 100 150 200 250 222.27 211.09 211.63 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU a b c 20 40 60 80 100 105.49 97.09 97.33 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU a b c 140 280 420 560 700 660.54 606.16 608.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU a b c 20 40 60 80 100 81.00 75.63 75.52 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU a b c 4 8 12 16 20 13.90 12.79 12.79 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 80 160 240 320 400 384.36 366.17 368.00 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 30 60 90 120 150 145.83 137.20 136.61 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU a b c 12 24 36 48 60 53.07 47.86 47.69 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 600 1200 1800 2400 3000 2874.25 2834.17 2763.40 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c 14 28 42 56 70 61.12 54.46 55.20 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 2K 4K 6K 8K 10K 8360.99 7457.91 7460.73 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
Embree OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown a b c 0.9475 1.895 2.8425 3.79 4.7375 4.1966 4.2047 4.2112 MIN: 4.17 / MAX: 4.26 MIN: 4.18 / MAX: 4.26 MIN: 4.19 / MAX: 4.27
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown a b c 1.111 2.222 3.333 4.444 5.555 4.9067 4.9376 4.6745 MIN: 4.86 / MAX: 5 MIN: 4.9 / MAX: 5.01 MIN: 4.64 / MAX: 4.75
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon a b c 1.0977 2.1954 3.2931 4.3908 5.4885 4.8695 4.8785 4.8776 MIN: 4.85 / MAX: 4.91 MIN: 4.86 / MAX: 4.92 MIN: 4.86 / MAX: 4.94
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj a b c 0.9975 1.995 2.9925 3.99 4.9875 4.4332 4.4038 4.4308 MIN: 4.41 / MAX: 4.52 MIN: 4.38 / MAX: 4.47 MIN: 4.4 / MAX: 4.51
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon a b c 2 4 6 8 10 6.1486 6.1218 5.8890 MIN: 6.11 / MAX: 6.24 MIN: 6.09 / MAX: 6.21 MIN: 5.86 / MAX: 5.95
OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj a b c 1.1867 2.3734 3.5601 4.7468 5.9335 5.2742 5.2679 5.0433 MIN: 5.25 / MAX: 5.34 MIN: 5.24 / MAX: 5.33 MIN: 5.01 / MAX: 5.11
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K a b c 0.2725 0.545 0.8175 1.09 1.3625 1.209 1.211 1.175 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K a b c 4 8 12 16 20 14.86 14.84 14.76 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K a b c 9 18 27 36 45 37.70 37.90 33.44 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K a b c 10 20 30 40 50 42.30 42.44 43.14 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p a b c 1.0802 2.1604 3.2406 4.3208 5.401 4.593 4.801 4.250 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p a b c 10 20 30 40 50 42.13 41.54 38.79 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p a b c 50 100 150 200 250 191.61 189.29 221.84 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p a b c 60 120 180 240 300 290.54 289.78 288.16 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast a b c 0.3911 0.7822 1.1733 1.5644 1.9555 1.738 1.733 1.679 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster a b c 0.8681 1.7362 2.6043 3.4724 4.3405 3.843 3.858 3.711 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast a b c 1.2213 2.4426 3.6639 4.8852 6.1065 5.428 5.415 5.343 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster a b c 3 6 9 12 15 13.20 13.21 13.17 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
Neural Magic DeepSparse OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b c 0.8954 1.7908 2.6862 3.5816 4.477 3.9794 3.9535 3.8837
Cpuminer-Opt Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Magi a b c 20 40 60 80 100 79.32 78.74 78.68 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Skeincoin a b c 1100 2200 3300 4400 5500 3997.83 5234.04 4034.91 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl a b c 400 800 1200 1600 2000 1627.74 1337.88 1647.77 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits a b c 400 800 1200 1600 2000 1723.39 2080.34 1755.69 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite a b c 2K 4K 6K 8K 10K 8552.11 7883.39 7888.21 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin a b c 2K 4K 6K 8K 10K 9651.39 9651.58 9653.77 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 16MB a b c 2K 4K 6K 8K 10K 8877.9 9133.5 8841.6 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 32MB a b c 2K 4K 6K 8K 10K 8499.9 8751.4 8437.5 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 64MB a b c 2K 4K 6K 8K 10K 7801.5 8005.2 7884.2 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 8MB a b c 2K 4K 6K 8K 10K 9850.2 10107.7 9885.9 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 128MB a b c 1500 3000 4500 6000 7500 6629.3 6779.3 6665.5 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 256MB a b c 1100 2200 3300 4400 5500 5080.8 5182.4 5107.4 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 8MB a b c 2K 4K 6K 8K 10K 9769.5 10085.2 10073.9 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 16MB a b c 2K 4K 6K 8K 10K 8558.6 8842.0 8780.8 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 32MB a b c 2K 4K 6K 8K 10K 8124.8 8273.4 8221.1 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 64MB a b c 1600 3200 4800 6400 8000 7456.9 7472.9 7452.8 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 16MB a b c 2K 4K 6K 8K 10K 9000.6 9267.8 9052.0 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 32MB a b c 2K 4K 6K 8K 10K 8299.4 8646.1 8660.0 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 64MB a b c 2K 4K 6K 8K 10K 7691.6 7799.7 7839.9 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 128MB a b c 1400 2800 4200 5600 7000 6398.4 6413.8 6391.1 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 256MB a b c 1100 2200 3300 4400 5500 4883.8 5007.6 4922.9 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 128MB a b c 1400 2800 4200 5600 7000 6601.2 6738.5 6470.2 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 256MB a b c 1100 2200 3300 4400 5500 5086.8 5087.2 5010.3 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
RabbitMQ RabbitMQ is an open-source message broker. This test profile makes use of the RabbitMQ PerfTest with the RabbitMQ server and PerfTest client running on the same host namely as a system/CPU performance benchmark. Learn more via the OpenBenchmarking.org test page.
Scenario: Simple 2 Publishers + 4 Consumers
a: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
b: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
c: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
Scenario: 10 Queues, 100 Producers, 100 Consumers
a: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
b: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
c: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
Scenario: 60 Queues, 100 Producers, 100 Consumers
a: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
b: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
c: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
Scenario: 120 Queues, 400 Producers, 400 Consumers
a: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
b: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
c: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
Scenario: 200 Queues, 400 Producers, 400 Consumers
a: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
b: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
c: The test quit with a non-zero exit status. E: java.net.ConnectException: Connection refused (Connection refused)
QuantLib QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.32 Configuration: Multi-Threaded a b c 3K 6K 9K 12K 15K 13707.0 13689.3 13287.0 1. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.32 Configuration: Single-Threaded a b c 700 1400 2100 2800 3500 3489.3 3488.1 3375.6 1. (CXX) g++ options: -O3 -march=native -fPIE -pie
BRL-CAD BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric a b c 12K 24K 36K 48K 60K 54646 54938 53711 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU a b c 2 4 6 8 10 6.76989 6.76791 7.39175 MIN: 6.04 MIN: 6 MIN: 7.07 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU a b c 2 4 6 8 10 6.08399 6.09457 6.07427 MIN: 5.89 MIN: 5.85 MIN: 5.87 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU a b c 0.3586 0.7172 1.0758 1.4344 1.793 1.58930 1.59378 1.59090 MIN: 1.37 MIN: 1.39 MIN: 1.4 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU a b c 0.5497 1.0994 1.6491 2.1988 2.7485 2.40204 2.44303 2.40573 MIN: 2.29 MIN: 2.3 MIN: 2.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU a b c 6 12 18 24 30 21.44 24.37 22.28 MIN: 17.25 MIN: 23.9 MIN: 17.81 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU a b c 1.3429 2.6858 4.0287 5.3716 6.7145 5.96832 5.92005 5.93496 MIN: 4.97 MIN: 4.94 MIN: 5.03 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU a b c 2 4 6 8 10 8.49762 8.44523 8.47369 MIN: 8.21 MIN: 8.17 MIN: 8.23 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU a b c 3 6 9 12 15 11.33250 10.26470 9.93517 MIN: 9.35 MIN: 8.95 MIN: 9 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU a b c 3 6 9 12 15 9.87897 10.07040 10.03890 MIN: 9.55 MIN: 9.57 MIN: 9.6 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU a b c 2 4 6 8 10 7.88294 8.05175 7.95953 MIN: 7.71 MIN: 7.66 MIN: 7.73 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU a b c 0.5015 1.003 1.5045 2.006 2.5075 2.15486 2.22896 2.18576 MIN: 1.9 MIN: 1.94 MIN: 1.9 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU a b c 0.5564 1.1128 1.6692 2.2256 2.782 2.45216 2.44729 2.47290 MIN: 2.21 MIN: 2.21 MIN: 2.21 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU a b c 1500 3000 4500 6000 7500 7128.22 7138.73 7174.36 MIN: 7074.03 MIN: 7092.66 MIN: 7126.73 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU a b c 800 1600 2400 3200 4000 3701.08 3699.05 3703.50 MIN: 3672.95 MIN: 3670.29 MIN: 3669.47 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU a b c 1500 3000 4500 6000 7500 7179.51 7178.23 7176.24 MIN: 7137.59 MIN: 7137.21 MIN: 7139.04 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU a b c 12 24 36 48 60 50.88 51.01 50.97 MIN: 50.58 MIN: 50.58 MIN: 50.58 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU a b c 10 20 30 40 50 42.98 43.39 43.16 MIN: 41.08 MIN: 41.62 MIN: 41.01 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU a b c 8 16 24 32 40 35.72 35.78 35.73 MIN: 35.34 MIN: 35.46 MIN: 35.41 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU a b c 800 1600 2400 3200 4000 3671.69 3680.74 3680.01 MIN: 3629.79 MIN: 3643.32 MIN: 3636.2 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU a b c 1500 3000 4500 6000 7500 7189.12 7178.37 7178.94 MIN: 7157.19 MIN: 7134.3 MIN: 7128.67 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU a b c 800 1600 2400 3200 4000 3703.86 3697.25 3699.85 MIN: 3673.82 MIN: 3666.72 MIN: 3668.59 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OSPRay Studio Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU a b c 7K 14K 21K 28K 35K 26473 26522 33836
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b c 100K 200K 300K 400K 500K 429631 429276 470269
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a b c 200K 400K 600K 800K 1000K 858149 856610 943953
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b c 100K 200K 300K 400K 500K 436532 438395 476659
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a b c 200K 400K 600K 800K 1000K 869726 870122 951381
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b c 120K 240K 360K 480K 600K 514920 514145 561556
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a b c 200K 400K 600K 800K 1000K 1025430 1024292 1119430
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b c 30K 60K 90K 120K 150K 111136 111078 122118
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a b c 50K 100K 150K 200K 250K 217399 218393 239831
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b c 30K 60K 90K 120K 150K 112613 113201 123787
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a b c 50K 100K 150K 200K 250K 221087 222412 242527
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b c 30K 60K 90K 120K 150K 132433 132979 145066
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a b c 60K 120K 180K 240K 300K 260252 261073 285007
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 a b c 20 40 60 80 100 4.42 76.64 71.04 MIN: 4.27 / MAX: 801.15 MIN: 4.41 / MAX: 684.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 a b c 13 26 39 52 65 3.50 54.67 56.24 MIN: 3.37 / MAX: 1059.45 MIN: 3.38 / MAX: 450.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: shufflenet-v2 a b c 13 26 39 52 65 3.45 55.66 59.68 MIN: 3.29 / MAX: 1450.73 MIN: 3.23 / MAX: 851.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mnasnet a b c 14 28 42 56 70 3.77 59.72 63.80 MIN: 3.62 / MAX: 740.07 MIN: 3.6 / MAX: 607.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: efficientnet-b0 a b c 20 40 60 80 100 7.17 88.38 91.44 MIN: 5.49 / MAX: 973.69 MIN: 5.45 / MAX: 732.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: blazeface a b c 4 8 12 16 20 1.29 13.67 17.89 MIN: 0.9 / MAX: 442.99 MIN: 0.92 / MAX: 528.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: googlenet a b c 40 80 120 160 200 13.84 196.54 180.35 MIN: 11 / MAX: 1629.29 MIN: 10.97 / MAX: 1001.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vgg16 a b c 120 240 360 480 600 49.76 563.22 534.25 MIN: 198.43 / MAX: 1375.45 MIN: 87.21 / MAX: 1172.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet18 a b c 30 60 90 120 150 9.44 132.13 149.31 MIN: 7.58 / MAX: 744.32 MIN: 7.75 / MAX: 1201.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: alexnet a b c 30 60 90 120 150 7.44 119.06 141.51 MIN: 6.3 / MAX: 796.52 MIN: 6.25 / MAX: 1066.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet50 a b c 80 160 240 320 400 23.94 372.91 349.97 MIN: 23.69 / MAX: 1184.42 MIN: 19.77 / MAX: 1364.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: yolov4-tiny a b c 80 160 240 320 400 26.69 354.78 336.66 MIN: 22.96 / MAX: 2085.26 MIN: 30.41 / MAX: 1419.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: squeezenet_ssd a b c 40 80 120 160 200 11.91 174.87 174.48 MIN: 9.79 / MAX: 788.66 MIN: 9.81 / MAX: 819.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: regnety_400m a b c 30 60 90 120 150 10.75 143.48 127.58 MIN: 7.77 / MAX: 1315.68 MIN: 7.7 / MAX: 964.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vision_transformer a b c 400 800 1200 1600 2000 185.96 2056.91 1952.08 MIN: 381.09 / MAX: 3140.23 MIN: 384.65 / MAX: 2889.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: FastestDet a b c 14 28 42 56 70 5.05 57.01 64.89 MIN: 3.5 / MAX: 623.64 MIN: 3.54 / MAX: 903.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: mobilenet a b c 60 120 180 240 300 18.97 282.29 266.51 MIN: 15.13 / MAX: 1073.47 MIN: 16.56 / MAX: 1096.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 a b c 20 40 60 80 100 4.39 75.30 66.65 MIN: 4.37 / MAX: 730.97 MIN: 4.26 / MAX: 485.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 a b c 15 30 45 60 75 3.48 66.64 54.85 MIN: 3.32 / MAX: 878.52 MIN: 3.5 / MAX: 559.94 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 a b c 13 26 39 52 65 3.40 54.38 56.62 MIN: 3.2 / MAX: 675.09 MIN: 3.26 / MAX: 747.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: mnasnet a b c 14 28 42 56 70 3.77 62.71 63.33 MIN: 3.61 / MAX: 584.51 MIN: 3.55 / MAX: 651.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 a b c 20 40 60 80 100 5.61 86.30 97.95 MIN: 5.43 / MAX: 937.59 MIN: 5.43 / MAX: 957.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: blazeface a b c 5 10 15 20 25 0.92 21.67 15.59 MIN: 0.89 / MAX: 816.69 MIN: 0.92 / MAX: 443.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: googlenet a b c 40 80 120 160 200 11.36 184.62 178.40 MIN: 10.94 / MAX: 775.13 MIN: 10.91 / MAX: 877.14 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: vgg16 a b c 120 240 360 480 600 47.81 542.46 541.65 MIN: 171.77 / MAX: 1341.09 MIN: 93.35 / MAX: 1265.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: resnet18 a b c 30 60 90 120 150 8.36 130.84 134.78 MIN: 7.64 / MAX: 808.51 MIN: 7.75 / MAX: 881.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: alexnet a b c 30 60 90 120 150 6.81 122.08 124.98 MIN: 6.21 / MAX: 909.4 MIN: 6.26 / MAX: 828.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: resnet50 a b c 80 160 240 320 400 23.98 354.34 328.87 MIN: 30.09 / MAX: 1285.23 MIN: 30.98 / MAX: 1188.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny a b c 80 160 240 320 400 26.68 347.17 341.71 MIN: 22.81 / MAX: 1008.19 MIN: 29 / MAX: 1084.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd a b c 40 80 120 160 200 11.90 177.20 164.33 MIN: 9.87 / MAX: 889.9 MIN: 9.8 / MAX: 1016.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m a b c 30 60 90 120 150 8.05 132.95 133.77 MIN: 7.8 / MAX: 1665.01 MIN: 7.72 / MAX: 816.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer a b c 400 800 1200 1600 2000 182.09 2069.02 1933.05 MIN: 1126.73 / MAX: 3158.74 MIN: 513.75 / MAX: 3020.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: FastestDet a b c 14 28 42 56 70 4.83 62.98 55.01 MIN: 3.49 / MAX: 651.5 MIN: 3.49 / MAX: 519.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU a b c 800 1600 2400 3200 4000 3600.29 3719.15 3922.05 MIN: 3227.71 / MAX: 3788.77 MIN: 2883.49 / MAX: 4105.58 MIN: 2940.15 / MAX: 4178.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU a b c 80 160 240 320 400 346.37 369.62 370.61 MIN: 328.56 / MAX: 384.23 MIN: 213.11 / MAX: 517.81 MIN: 200.89 / MAX: 476.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU a b c 80 160 240 320 400 344.94 370.73 372.34 MIN: 331.68 / MAX: 379.01 MIN: 305.49 / MAX: 506.4 MIN: 298.79 / MAX: 478.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU a b c 12 24 36 48 60 48.04 51.72 51.79 MIN: 39.51 / MAX: 63.6 MIN: 25.15 / MAX: 115.97 MIN: 27.85 / MAX: 114.6 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU a b c 200 400 600 800 1000 985.39 1059.61 1061.06 MIN: 643.01 / MAX: 1010.66 MIN: 796.92 / MAX: 1223.56 MIN: 813.72 / MAX: 1252.69 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU a b c 4 8 12 16 20 14.73 15.29 15.17 MIN: 7.6 / MAX: 27.51 MIN: 7.76 / MAX: 45.51 MIN: 7.75 / MAX: 46.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU a b c 20 40 60 80 100 97.39 103.02 103.24 MIN: 89.34 / MAX: 113.31 MIN: 73.24 / MAX: 176.26 MIN: 72.38 / MAX: 172.52 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 5 10 15 20 25 17.97 18.93 18.88 MIN: 13.13 / MAX: 31.2 MIN: 10.24 / MAX: 58.75 MIN: 10.24 / MAX: 56.85 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU a b c 9 18 27 36 45 37.89 41.18 41.07 MIN: 19.79 / MAX: 50.35 MIN: 21.43 / MAX: 94.08 MIN: 22.76 / MAX: 99.47 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU a b c 2 4 6 8 10 6.04 6.59 6.56 MIN: 3.47 / MAX: 20.67 MIN: 3.81 / MAX: 34.71 MIN: 3.98 / MAX: 36.21 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU a b c 12 24 36 48 60 49.36 52.86 52.94 MIN: 35.42 / MAX: 65.52 MIN: 37.97 / MAX: 96.18 MIN: 37.37 / MAX: 105.98 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU a b c 70 140 210 280 350 287.28 312.41 312.33 MIN: 200.6 / MAX: 301.65 MIN: 250.11 / MAX: 403.55 MIN: 237.04 / MAX: 398.05 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 3 6 9 12 15 10.38 10.91 10.86 MIN: 5.52 / MAX: 22.1 MIN: 5.56 / MAX: 40.59 MIN: 5.41 / MAX: 42.52 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 7 14 21 28 35 27.41 29.13 29.26 MIN: 19.48 / MAX: 43.38 MIN: 17.21 / MAX: 62 MIN: 17.66 / MAX: 65.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU a b c 20 40 60 80 100 75.35 83.53 83.82 MIN: 54.28 / MAX: 95.91 MIN: 51.8 / MAX: 139.82 MIN: 41.32 / MAX: 136.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 0.3218 0.6436 0.9654 1.2872 1.609 1.37 1.40 1.43 MIN: 0.79 / MAX: 14.03 MIN: 0.73 / MAX: 32.28 MIN: 0.72 / MAX: 46.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c 16 32 48 64 80 65.40 73.40 72.42 MIN: 52.18 / MAX: 86.91 MIN: 40.77 / MAX: 125.7 MIN: 40.47 / MAX: 145.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 0.1193 0.2386 0.3579 0.4772 0.5965 0.47 0.53 0.53 MIN: 0.3 / MAX: 16.79 MIN: 0.28 / MAX: 30.87 MIN: 0.29 / MAX: 32.04 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short a b c 50 100 150 200 250 206.97 203.68 203.49 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenRadioss OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Cell Phone Drop Test a b c 50 100 150 200 250 245.14 243.36 241.64
easyWave The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 a b c 3 6 9 12 15 10.613 9.924 9.620 1. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 a b c 40 80 120 160 200 189.03 188.68 188.52 1. (CXX) g++ options: -O3 -fopenmp
QMCPACK QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: H4_ae a b c 20 40 60 80 100 76.19 69.78 75.96 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: Li2_STO_ae a b c 150 300 450 600 750 687.22 653.08 675.81 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: LiH_ae_MSD a b c 20 40 60 80 100 83.22 83.17 87.02 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: simple-H2O a b c 7 14 21 28 35 31.22 31.76 31.75 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: O_ae_pyscf_UHF a b c 50 100 150 200 250 222.05 222.61 239.07 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms a b c 30 60 90 120 150 110.52 110.13 141.41 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
a Kernel Notes: Transparent Huge Pages: madviseCompiler 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.4.9Java Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 12 November 2023 06:58 by user pts.
b Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 22.04, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.4.9Java Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 12 November 2023 15:28 by user pts.
c Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madviseCompiler 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xac - Thermald 2.4.9Java Notes: OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Mitigation of Microcode + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 13 November 2023 07:10 by user pts.