Intel Xeon Gold 6226R testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and ASPEED on Ubuntu 20.10 via the Phoronix Test Suite.
Linux 5.10.130 Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 192GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210
OS: Ubuntu 20.10, Kernel: 5.10.130-0510130-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --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_cpufreq performance - CPU Microcode: 0x5003102Python Notes: Python 3.8.10Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable: eIBRS with unprivileged eBPF + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Linux 5.15.83 OS: Ubuntu 20.10, Kernel: 5.15.83-051583-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --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_cpufreq performance - CPU Microcode: 0x5003102Python Notes: Python 3.8.10Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + 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: Mitigation of TSX disabled
Linux 6.1 OS: Ubuntu 20.10, Kernel: 6.1.0-phx (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --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_cpufreq performance - CPU Microcode: 0x5003102Python Notes: Python 3.8.10Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + 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: Mitigation of TSX disabled
Xeon Gold Cascade Lake Refresh LTS Linux Benchmarks OpenBenchmarking.org Phoronix Test Suite Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads) Supermicro X11SPL-F v1.02 (3.1 BIOS) Intel Sky Lake-E DMI3 Registers 192GB 280GB INTEL SSDPED1D280GA ASPEED VE228 2 x Intel I210 Ubuntu 20.10 5.10.130-0510130-generic (x86_64) 5.15.83-051583-generic (x86_64) 6.1.0-phx (x86_64) GNOME Shell 3.38.1 X Server 1.20.9 GCC 10.3.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernels Desktop Display Server Compiler File-System Screen Resolution Xeon Gold Cascade Lake Refresh LTS Linux Benchmarks Performance System Logs - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --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: 0x5003102 - Python 3.8.10 - Linux 5.10.130: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable: eIBRS with unprivileged eBPF + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - Linux 5.15.83: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + 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: Mitigation of TSX disabled - Linux 6.1: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + 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: Mitigation of TSX disabled
Linux 5.10.130 Linux 5.15.83 Linux 6.1 Result Overview Phoronix Test Suite 100% 107% 115% 122% 130% ctx_clock Dragonflydb JPEG XL Decoding libjxl EnCodec PostgreSQL GraphicsMagick C-Blosc Stress-NG AOM AV1 JPEG XL libjxl Facebook RocksDB Timed Linux Kernel Compilation Stargate Digital Audio Workstation spaCy ClickHouse Timed Erlang/OTP Compilation Timed Godot Game Engine Compilation libavif avifenc Mobile Neural Network Timed Node.js Compilation FLAC Audio Encoding Timed PHP Compilation miniBUDE Timed CPython Compilation 7-Zip Compression NCNN BRL-CAD Neural Magic DeepSparse srsRAN SVT-AV1 nekRS OpenVINO Y-Cruncher Xmrig Cpuminer-Opt WebP Image Encode OpenRadioss LAMMPS Molecular Dynamics Simulator TensorFlow Numenta Anomaly Benchmark Blender oneDNN ASTC Encoder Primesieve Aircrack-ng OpenFOAM Natron OSPRay Studio
Xeon Gold Cascade Lake Refresh LTS Linux Benchmarks ctx-clock: Context Switch Time stress-ng: MMAP stress-ng: NUMA stress-ng: Futex stress-ng: MEMFD stress-ng: Mutex stress-ng: Atomic stress-ng: Crypto stress-ng: Malloc stress-ng: Forking 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: x86_64 RdRand stress-ng: Memory Copying stress-ng: Socket Activity stress-ng: Context Switching stress-ng: Glibc C String Functions stress-ng: Glibc Qsort Data Sorting stress-ng: System V Message Passing encode-flac: WAV To FLAC brl-cad: VGR Performance Metric stargate: 44100 - 512 stargate: 96000 - 512 stargate: 192000 - 512 stargate: 44100 - 1024 stargate: 480000 - 512 stargate: 96000 - 1024 stargate: 192000 - 1024 stargate: 480000 - 1024 astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive jpegxl-decode: 1 jpegxl-decode: All jpegxl: PNG - 80 jpegxl: PNG - 90 jpegxl: JPEG - 80 jpegxl: JPEG - 90 jpegxl: PNG - 100 jpegxl: JPEG - 100 webp: Default webp: Quality 100 webp: Quality 100, Lossless webp: Quality 100, Highest Compression webp: Quality 100, Lossless, Highest Compression xmrig: Monero - 1M xmrig: Wownero - 1M minibude: OpenMP - BM1 minibude: OpenMP - BM1 minibude: OpenMP - BM2 minibude: OpenMP - BM2 nekrs: TurboPipe Periodic openradioss: Bumper Beam openradioss: Cell Phone Drop Test openradioss: Bird Strike on Windshield openradioss: Rubber O-Ring Seal Installation openradioss: INIVOL and Fluid Structure Interaction Drop Container tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 64 - AlexNet tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 256 - ResNet-50 numenta-nab: Relative Entropy numenta-nab: Windowed Gaussian y-cruncher: 500M numenta-nab: KNN CAD numenta-nab: Earthgecko Skyline numenta-nab: Bayesian Changepoint mnn: nasnet mnn: mobilenetV3 mnn: squeezenetv1.1 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 y-cruncher: 1B numenta-nab: Contextual Anomaly Detector OSE mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream deepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream spacy: en_core_web_lg spacy: en_core_web_trf 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 lammps: 20k Atoms lammps: Rhodopsin Protein 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: 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: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Execution Time aircrack-ng: primesieve: 1e12 primesieve: 1e13 compress-7zip: Compression Rating compress-7zip: Decompression Rating build-php: Time To Compile cpuminer-opt: Magi cpuminer-opt: x25x 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 build-linux-kernel: defconfig build-linux-kernel: allmodconfig aom-av1: Speed 6 Two-Pass - Bosphorus 4K aom-av1: Speed 8 Realtime - Bosphorus 4K aom-av1: Speed 9 Realtime - Bosphorus 4K aom-av1: Speed 10 Realtime - Bosphorus 4K graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space 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 blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only avifenc: 0 avifenc: 2 avifenc: 6 avifenc: 6, Lossless avifenc: 10, Lossless build-godot: Time To Compile natron: Spaceship ospray-studio: 1 - 4K - 1 - Path Tracer ospray-studio: 2 - 4K - 1 - Path Tracer ospray-studio: 3 - 4K - 1 - Path Tracer ospray-studio: 1 - 4K - 16 - Path Tracer ospray-studio: 1 - 4K - 32 - Path Tracer ospray-studio: 2 - 4K - 16 - Path Tracer ospray-studio: 2 - 4K - 32 - Path Tracer ospray-studio: 3 - 4K - 16 - Path Tracer ospray-studio: 3 - 4K - 32 - Path Tracer ospray-studio: 1 - 1080p - 1 - Path Tracer ospray-studio: 2 - 1080p - 1 - Path Tracer ospray-studio: 3 - 1080p - 1 - Path Tracer ospray-studio: 1 - 1080p - 16 - Path Tracer ospray-studio: 1 - 1080p - 32 - Path Tracer ospray-studio: 2 - 1080p - 16 - Path Tracer ospray-studio: 2 - 1080p - 32 - Path Tracer ospray-studio: 3 - 1080p - 16 - Path Tracer ospray-studio: 3 - 1080p - 32 - Path Tracer build-python: Default build-python: Released Build, PGO + LTO Optimized build-erlang: Time To Compile build-nodejs: Time To Compile blosc: blosclz shuffle blosc: blosclz bitshuffle srsran: OFDM_Test srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cache clickhouse: 100M Rows Web Analytics Dataset, Second Run clickhouse: 100M Rows Web Analytics Dataset, Third Run dragonflydb: 50 - 1:1 dragonflydb: 50 - 1:5 dragonflydb: 50 - 5:1 dragonflydb: 200 - 1:1 dragonflydb: 200 - 1:5 dragonflydb: 200 - 5:1 rocksdb: Rand Fill rocksdb: Rand Read rocksdb: Update Rand rocksdb: Seq Fill rocksdb: Rand Fill Sync rocksdb: Read While Writing rocksdb: Read Rand Write Rand pgbench: 100 - 100 - Read Only encodec: 1.5 kbps encodec: 6 kbps encodec: 24 kbps encodec: 3 kbps pgbench: 100 - 100 - Read Only - Average Latency pgbench: 100 - 250 - Read Only pgbench: 100 - 250 - Read Only - Average Latency pgbench: 100 - 500 - Read Only pgbench: 100 - 500 - Read Only - Average Latency pgbench: 100 - 100 - Read Write pgbench: 100 - 100 - Read Write - Average Latency pgbench: 100 - 250 - Read Write pgbench: 100 - 250 - Read Write - Average Latency pgbench: 100 - 500 - Read Write pgbench: 100 - 500 - Read Write - Average Latency Linux 5.10.130 Linux 5.15.83 Linux 6.1 154 390.20 358.05 1498828.70 1008.62 8606774.99 223731.70 18742.67 22392194.28 56719.51 36489.15 241610.68 116.33 34273.52 3214994.83 55915.36 55351.58 252390.56 4201.02 10160.91 5500706.76 911917.94 194.36 6490812.35 21.110 167771 3.909552 2.537891 1.536255 4.385893 3.726933 2.999611 1.889268 4.199568 193.1315 72.1595 9.3225 0.9371 38.17 208.79 7.70 7.58 7.45 7.30 0.54 0.53 14.37 9.00 1.27 3.07 0.48 6794.5 9492.2 530.266 21.211 534.738 21.389 70649766667 152.41 96.21 256.43 159.75 443.72 166.55 211.25 243.30 278.63 114.41 37.68 121.72 40.23 125.79 41.90 130.21 43.50 15.803 9.070 11.345 185.330 114.813 41.392 14.910 2.091 2.592 10.148 4.892 24.449 55.734 3.855 2.678 22.733 10.5210 758.0277 9.5996 104.1622 55.4233 144.2410 43.7612 22.8396 86.6567 92.2142 75.2616 13.2689 219.3569 36.4390 132.6485 7.5265 108.5475 73.6759 73.6039 13.5771 55.5433 144.0062 38.4438 26.0011 10.5403 752.8319 9.6153 103.9960 11314 2446 14.54 5.56 4.95 5.66 4.91 7.06 2.38 11.57 26.95 8.09 5.46 14.20 23.60 17.13 18.83 160.27 7.02 10.427 10.659 2.29636 3.10144 0.496613 1.25271 4.29153 4.70699 3.30606 4.15869 0.540654 0.851455 1613.12 909.632 1621.84 911.816 0.956399 0.313238 5.88 1357.37 3.31 2400.02 3.25 2436.30 272.09 29.37 19.11 417.71 969.33 8.24 625.50 25.53 64.82 123.34 1991.75 8.02 485.36 16.47 15259.86 1.04 31167.81 0.50 38.53511 188.28208 241.48551 1598.6991 50605.559 14.443 174.722 106357 86432 65.325 374.94 640.06 491.90 14497 2833.09 1149103 6572.81 135103 17363 96820 218830 315913 70.169 907.748 11.70 37.88 48.05 48.34 502 757 199 315 1333 335 976 2.475 34.519 126.497 120.794 7.046 95.493 415.136 423.649 106.13 318.28 144.25 1145.90 373.74 145.012 70.517 6.689 11.376 6.637 97.246 3.6 7055 7242 8633 121467 234216 124428 239935 146583 284699 1778 1826 2178 28409 65271 29172 66823 34786 78016 19.449 383.514 91.560 453.613 15238.1 10158.9 122000000 279.8 117.3 279.8 123.3 303.4 126.9 307.0 131.0 98.6 65.9 205.76 212.60 212.42 978963.31 1047699.23 989148.97 971725.25 1021149.38 918617.37 983199 65094239 625695 1204255 216464 3100899 2132608 465422 28.208 29.495 34.162 29.141 0.215 413949 0.604 370238 1.350 53656 1.864 47676 5.244 38503 12.986 179 381.23 335.58 2364278.75 879.67 9013626.15 225144.33 18733.10 20930090.96 60087.36 32758.89 285766.99 128.31 34238.77 3314461.38 55890.23 55415.01 252393.88 4129.34 17786.17 2284154.16 916397.13 194.88 8257907.06 21.098 166852 3.972591 2.579045 1.567049 4.431098 3.790321 3.063511 1.989680 4.270897 193.0244 72.1219 9.3267 0.9375 37.90 209.18 7.71 7.54 7.40 7.25 0.54 0.53 14.40 9.02 1.28 3.09 0.48 6829.8 9531.3 529.240 21.170 532.924 21.317 70923633333 151.82 96.31 256.19 159.15 445.17 166.90 211.47 242.73 279.05 115.15 38.09 122.18 40.41 126.29 42.05 130.40 43.41 15.813 9.018 11.366 182.657 115.529 41.433 14.880 2.071 2.537 9.850 4.897 24.562 55.659 3.752 2.639 22.438 10.4539 759.3525 9.6141 104.0054 55.5849 143.8065 42.9013 23.3139 86.9402 91.9860 75.0401 13.3089 219.0088 36.4973 134.1326 7.4408 108.3377 73.8216 72.0552 13.8679 54.4332 146.9505 37.7602 26.4774 10.4339 760.8374 9.6111 104.0376 11236 2416 14.71 5.53 4.95 5.59 4.85 6.99 2.29 11.46 27.69 8.05 5.48 14.21 23.89 16.85 18.67 161.23 6.91 10.414 10.639 2.29385 3.08561 0.497248 1.25174 4.31178 4.70834 3.29633 4.20343 0.540452 0.846543 1611.14 912.066 1614.87 908.188 0.961682 0.316005 5.88 1356.35 3.30 2401.74 3.25 2441.67 272.80 29.29 19.15 416.95 957.08 8.34 623.36 25.62 64.28 124.34 1993.58 8.01 485.19 16.46 15258.56 1.03 31007.38 0.5 38.235781 186.39843 242.25487 1611.5943 50607.738 14.429 174.658 108058 86735 65.143 373.55 641.61 489.83 14500 2812.34 1150583 6594.18 134833 17610 96663 218493 313917 70.488 911.083 11.77 37.86 47.66 48.33 499 731 199 314 1321 331 957 2.483 34.818 127.534 122.978 6.985 95.043 418.022 425.263 106.38 317.07 144.34 1144.82 373.54 144.709 71.065 6.749 11.425 6.666 97.568 3.6 7046 7246 8628 121486 234142 124556 240311 146570 284853 1778 1826 2176 28417 65242 29206 66817 34801 77997 19.493 383.962 91.754 453.307 15998.6 10555.7 122633333 282.7 118.3 282.0 123.9 310.0 128.0 307.9 131.6 98.6 66.0 204.26 209.58 215.02 1123953.55 1186278.25 1068662.91 1060251.05 1117321.90 993337.90 982848 65233649 616626 1193837 234969 3043279 2129359 515273 28.349 29.530 33.917 28.660 0.194 475175 0.526 426428 1.173 56230 1.779 45922 5.444 33824 14.783 200 310.22 256.61 2433807.14 667.82 7375258.06 225639.32 18727.61 15989079.77 53632.67 32918.80 284966.04 115.59 34059.43 3315660.88 55875.18 55344.32 252372.29 4181.80 16990.75 2054658.64 916843.52 194.30 14896082.79 21.376 168334 3.817268 2.497164 1.520040 4.311382 3.718812 3.012585 1.928814 4.208880 192.9917 72.0972 9.3103 0.9368 36.37 181.54 7.36 7.20 7.08 6.94 0.53 0.52 14.38 8.95 1.27 3.08 0.48 6767.3 9527.7 535.565 21.422 538.790 21.552 70481500000 153.23 96.30 255.89 160.27 446.66 166.31 211.06 242.34 279.22 116.16 38.01 123.19 40.32 126.49 42.06 130.47 43.37 15.525 9.073 11.294 180.519 115.831 41.936 15.122 2.083 2.606 9.932 4.969 24.455 55.815 3.831 2.640 22.789 10.4097 764.7425 9.5393 104.8348 55.4366 144.2114 43.3202 23.0718 86.8832 92.0462 75.2635 13.2691 218.6936 36.5392 132.5077 7.5359 108.7443 73.5456 71.8852 13.9013 54.2726 147.3804 37.2115 26.8656 10.3832 763.3064 9.6532 103.5823 11231 2341 14.45 5.57 4.95 5.63 4.89 7.04 2.36 11.48 26.52 7.85 5.46 13.83 23.35 16.76 18.70 160.39 6.96 10.399 10.608 2.29708 3.09433 0.496776 1.24871 4.28618 4.98067 3.31244 4.18096 0.541430 0.831866 1614.07 909.147 1618.86 913.943 0.963400 0.313975 5.89 1357.10 3.28 2415.31 3.23 2451.10 267.62 29.86 19.17 416.16 957.41 8.33 620.61 25.73 63.96 124.97 1992.23 8.02 491.24 16.27 15144.32 1.04 30632.46 0.51 38.361993 186.93467 242.92307 1607.4012 50609.276 14.424 174.977 106968 86680 65.964 373.45 638.64 491.85 14420 2800.62 1137550 6571.66 134320 17477 96010 217237 315723 72.558 934.265 11.65 36.10 45.41 45.97 491 668 197 311 1299 322 872 2.460 34.723 126.763 121.596 7.024 95.151 409.127 419.750 106.46 318.71 144.29 1145.18 374.17 145.036 71.201 6.798 11.580 6.909 99.420 3.6 7048 7245 8633 123000 234371 126341 240430 146692 284235 1779 1824 2173 28479 65894 29165 67837 34779 79804 19.777 385.5 93.739 459.753 15256.1 10161.3 120733333 280.2 117.1 280.3 123.3 307.4 127.2 305.5 130.3 98.3 65.9 198.51 204.43 212.92 1130454.03 1180450.09 1074996.43 1046604.15 1099078.40 979549.43 935285 65337175 594485 1134991 218454 2985392 2133528 523788 30.493 32.017 36.321 30.426 0.191 487468 0.513 467167 1.070 54365 1.839 45223 5.528 36109 13.847 OpenBenchmarking.org
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: MMAP Linux 5.10.130 Linux 5.15.83 Linux 6.1 80 160 240 320 400 SE +/- 0.74, N = 3 SE +/- 0.56, N = 3 SE +/- 2.76, N = 3 390.20 381.23 310.22 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: NUMA Linux 5.10.130 Linux 5.15.83 Linux 6.1 80 160 240 320 400 SE +/- 2.82, N = 3 SE +/- 0.90, N = 3 SE +/- 1.78, N = 3 358.05 335.58 256.61 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Futex Linux 5.10.130 Linux 5.15.83 Linux 6.1 500K 1000K 1500K 2000K 2500K SE +/- 33488.35, N = 15 SE +/- 32600.02, N = 3 SE +/- 9882.04, N = 3 1498828.70 2364278.75 2433807.14 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: MEMFD Linux 5.10.130 Linux 5.15.83 Linux 6.1 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 0.39, N = 3 SE +/- 0.28, N = 3 1008.62 879.67 667.82 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Mutex Linux 5.10.130 Linux 5.15.83 Linux 6.1 2M 4M 6M 8M 10M SE +/- 10182.54, N = 3 SE +/- 112044.15, N = 15 SE +/- 24065.62, N = 3 8606774.99 9013626.15 7375258.06 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Atomic Linux 5.10.130 Linux 5.15.83 Linux 6.1 50K 100K 150K 200K 250K SE +/- 1447.49, N = 3 SE +/- 1620.65, N = 3 SE +/- 3644.44, N = 3 223731.70 225144.33 225639.32 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Crypto Linux 5.10.130 Linux 5.15.83 Linux 6.1 4K 8K 12K 16K 20K SE +/- 47.41, N = 3 SE +/- 83.58, N = 3 SE +/- 66.53, N = 3 18742.67 18733.10 18727.61 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Malloc Linux 5.10.130 Linux 5.15.83 Linux 6.1 5M 10M 15M 20M 25M SE +/- 90978.10, N = 3 SE +/- 130302.14, N = 3 SE +/- 91731.80, N = 3 22392194.28 20930090.96 15989079.77 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Forking Linux 5.10.130 Linux 5.15.83 Linux 6.1 13K 26K 39K 52K 65K SE +/- 175.99, N = 3 SE +/- 184.20, N = 3 SE +/- 386.64, N = 3 56719.51 60087.36 53632.67 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: IO_uring Linux 5.10.130 Linux 5.15.83 Linux 6.1 8K 16K 24K 32K 40K SE +/- 401.23, N = 3 SE +/- 501.84, N = 3 SE +/- 240.39, N = 3 36489.15 32758.89 32918.80 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: SENDFILE Linux 5.10.130 Linux 5.15.83 Linux 6.1 60K 120K 180K 240K 300K SE +/- 2449.06, N = 3 SE +/- 2143.98, N = 3 SE +/- 1947.11, N = 3 241610.68 285766.99 284966.04 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: CPU Cache Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 2.89, N = 15 SE +/- 6.07, N = 12 SE +/- 2.00, N = 15 116.33 128.31 115.59 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: CPU Stress Linux 5.10.130 Linux 5.15.83 Linux 6.1 7K 14K 21K 28K 35K SE +/- 248.24, N = 14 SE +/- 3.47, N = 3 SE +/- 27.28, N = 3 34273.52 34238.77 34059.43 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Semaphores Linux 5.10.130 Linux 5.15.83 Linux 6.1 700K 1400K 2100K 2800K 3500K SE +/- 159.78, N = 3 SE +/- 1860.75, N = 3 SE +/- 1806.60, N = 3 3214994.83 3314461.38 3315660.88 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Matrix Math Linux 5.10.130 Linux 5.15.83 Linux 6.1 12K 24K 36K 48K 60K SE +/- 476.25, N = 3 SE +/- 503.37, N = 3 SE +/- 647.24, N = 3 55915.36 55890.23 55875.18 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Vector Math Linux 5.10.130 Linux 5.15.83 Linux 6.1 12K 24K 36K 48K 60K SE +/- 337.57, N = 3 SE +/- 330.15, N = 3 SE +/- 321.30, N = 3 55351.58 55415.01 55344.32 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: x86_64 RdRand Linux 5.10.130 Linux 5.15.83 Linux 6.1 50K 100K 150K 200K 250K SE +/- 0.71, N = 3 SE +/- 1.57, N = 3 SE +/- 12.63, N = 3 252390.56 252393.88 252372.29 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Memory Copying Linux 5.10.130 Linux 5.15.83 Linux 6.1 900 1800 2700 3600 4500 SE +/- 31.35, N = 3 SE +/- 42.48, N = 3 SE +/- 29.72, N = 3 4201.02 4129.34 4181.80 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Socket Activity Linux 5.10.130 Linux 5.15.83 Linux 6.1 4K 8K 12K 16K 20K SE +/- 302.66, N = 15 SE +/- 80.02, N = 3 SE +/- 112.51, N = 3 10160.91 17786.17 16990.75 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Context Switching Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.2M 2.4M 3.6M 4.8M 6M SE +/- 72191.04, N = 3 SE +/- 7040.94, N = 3 SE +/- 3492.53, N = 3 5500706.76 2284154.16 2054658.64 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Glibc C String Functions Linux 5.10.130 Linux 5.15.83 Linux 6.1 200K 400K 600K 800K 1000K SE +/- 6508.49, N = 3 SE +/- 3709.52, N = 3 SE +/- 8664.27, N = 3 911917.94 916397.13 916843.52 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: Glibc Qsort Data Sorting Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 1.58, N = 3 SE +/- 1.18, N = 3 SE +/- 1.25, N = 3 194.36 194.88 194.30 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.14.06 Test: System V Message Passing Linux 5.10.130 Linux 5.15.83 Linux 6.1 3M 6M 9M 12M 15M SE +/- 23387.52, N = 3 SE +/- 4399.60, N = 3 SE +/- 26770.64, N = 3 6490812.35 8257907.06 14896082.79 1. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
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 7.32.6 VGR Performance Metric Linux 5.10.130 Linux 5.15.83 Linux 6.1 40K 80K 120K 160K 200K 167771 166852 168334 1. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -pthread -ldl -lm
Stargate Digital Audio Workstation Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.8938 1.7876 2.6814 3.5752 4.469 SE +/- 0.028488, N = 3 SE +/- 0.017996, N = 3 SE +/- 0.063340, N = 3 3.909552 3.972591 3.817268 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.5803 1.1606 1.7409 2.3212 2.9015 SE +/- 0.035214, N = 3 SE +/- 0.013088, N = 3 SE +/- 0.031971, N = 3 2.537891 2.579045 2.497164 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.3526 0.7052 1.0578 1.4104 1.763 SE +/- 0.008212, N = 3 SE +/- 0.017482, N = 3 SE +/- 0.006196, N = 3 1.536255 1.567049 1.520040 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.997 1.994 2.991 3.988 4.985 SE +/- 0.002245, N = 3 SE +/- 0.011431, N = 3 SE +/- 0.047576, N = 3 4.385893 4.431098 4.311382 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.8528 1.7056 2.5584 3.4112 4.264 SE +/- 0.019070, N = 3 SE +/- 0.052597, N = 3 SE +/- 0.044488, N = 3 3.726933 3.790321 3.718812 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.6893 1.3786 2.0679 2.7572 3.4465 SE +/- 0.016716, N = 3 SE +/- 0.004654, N = 3 SE +/- 0.021684, N = 3 2.999611 3.063511 3.012585 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.4477 0.8954 1.3431 1.7908 2.2385 SE +/- 0.016352, N = 3 SE +/- 0.011134, N = 3 SE +/- 0.012895, N = 3 1.889268 1.989680 1.928814 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.961 1.922 2.883 3.844 4.805 SE +/- 0.030220, N = 3 SE +/- 0.015411, N = 3 SE +/- 0.017869, N = 3 4.199568 4.270897 4.208880 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Fast Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 193.13 193.02 192.99 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Medium Linux 5.10.130 Linux 5.15.83 Linux 6.1 16 32 48 64 80 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 72.16 72.12 72.10 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Thorough Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.0023, N = 3 SE +/- 0.0055, N = 3 SE +/- 0.0088, N = 3 9.3225 9.3267 9.3103 1. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Exhaustive Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.2109 0.4218 0.6327 0.8436 1.0545 SE +/- 0.0001, N = 3 SE +/- 0.0001, N = 3 SE +/- 0.0006, N = 3 0.9371 0.9375 0.9368 1. (CXX) g++ options: -O3 -flto -pthread
JPEG XL Decoding libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.7 CPU Threads: 1 Linux 5.10.130 Linux 5.15.83 Linux 6.1 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 38.17 37.90 36.37
JPEG XL libjxl The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 80 Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.70 7.71 7.36 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 90 Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 7.58 7.54 7.20 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 7.45 7.40 7.08 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.30 7.25 6.94 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 100 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.1215 0.243 0.3645 0.486 0.6075 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.54 0.54 0.53 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.1193 0.2386 0.3579 0.4772 0.5965 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.53 0.53 0.52 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 9.00 9.02 8.95 1. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.288 0.576 0.864 1.152 1.44 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.27 1.28 1.27 1. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.6953 1.3906 2.0859 2.7812 3.4765 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.07 3.09 3.08 1. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.108 0.216 0.324 0.432 0.54 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.48 0.48 0.48 1. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
Xmrig Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Monero - Hash Count: 1M Linux 5.10.130 Linux 5.15.83 Linux 6.1 1500 3000 4500 6000 7500 SE +/- 3.14, N = 3 SE +/- 23.74, N = 3 SE +/- 54.19, N = 3 6794.5 6829.8 6767.3 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M Linux 5.10.130 Linux 5.15.83 Linux 6.1 2K 4K 6K 8K 10K SE +/- 67.20, N = 3 SE +/- 34.41, N = 3 SE +/- 49.24, N = 3 9492.2 9531.3 9527.7 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
miniBUDE MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Linux 5.10.130 Linux 5.15.83 Linux 6.1 120 240 360 480 600 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 SE +/- 0.30, N = 3 530.27 529.24 535.57 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Linux 5.10.130 Linux 5.15.83 Linux 6.1 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 21.21 21.17 21.42 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Linux 5.10.130 Linux 5.15.83 Linux 6.1 120 240 360 480 600 SE +/- 0.18, N = 3 SE +/- 0.02, N = 3 SE +/- 0.18, N = 3 534.74 532.92 538.79 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Linux 5.10.130 Linux 5.15.83 Linux 6.1 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 21.39 21.32 21.55 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
nekRS nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FLOP/s, More Is Better nekRS 22.0 Input: TurboPipe Periodic Linux 5.10.130 Linux 5.15.83 Linux 6.1 15000M 30000M 45000M 60000M 75000M SE +/- 144216808.24, N = 3 SE +/- 219477639.96, N = 3 SE +/- 48731133.10, N = 3 70649766667 70923633333 70481500000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -pthread -lmpi_cxx -lmpi
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/. 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 2022.10.13 Model: Bumper Beam Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.18, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 152.41 151.82 153.23
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Linux 5.10.130 Linux 5.15.83 Linux 6.1 60 120 180 240 300 SE +/- 0.38, N = 3 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 256.43 256.19 255.89
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 0.08, N = 3 SE +/- 0.22, N = 3 SE +/- 0.29, N = 3 159.75 159.15 160.27
OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container Linux 5.10.130 Linux 5.15.83 Linux 6.1 100 200 300 400 500 SE +/- 0.39, N = 3 SE +/- 0.43, N = 3 SE +/- 0.46, N = 3 443.72 445.17 446.66
TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries too. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 0.44, N = 3 SE +/- 0.13, N = 3 SE +/- 0.22, N = 3 166.55 166.90 166.31
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 50 100 150 200 250 SE +/- 0.47, N = 3 SE +/- 0.13, N = 3 SE +/- 0.28, N = 3 211.25 211.47 211.06
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 50 100 150 200 250 SE +/- 0.06, N = 3 SE +/- 0.39, N = 3 SE +/- 0.27, N = 3 243.30 242.73 242.34
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 60 120 180 240 300 SE +/- 0.53, N = 3 SE +/- 0.66, N = 3 SE +/- 0.40, N = 3 278.63 279.05 279.22
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 114.41 115.15 116.16
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 Linux 5.10.130 Linux 5.15.83 Linux 6.1 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 37.68 38.09 38.01
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 121.72 122.18 123.19
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 Linux 5.10.130 Linux 5.15.83 Linux 6.1 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 40.23 40.41 40.32
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.18, N = 3 125.79 126.29 126.49
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 Linux 5.10.130 Linux 5.15.83 Linux 6.1 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 41.90 42.05 42.06
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 130.21 130.40 130.47
OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 Linux 5.10.130 Linux 5.15.83 Linux 6.1 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 43.50 43.41 43.37
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.19, N = 3 15.80 15.81 15.53
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: KNN CAD Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 0.84, N = 3 SE +/- 0.59, N = 3 SE +/- 0.44, N = 3 185.33 182.66 180.52
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: nasnet Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 9 14.91 14.88 15.12 MIN: 14.46 / MAX: 28.47 MIN: 14.51 / MAX: 33.86 MIN: 14.55 / MAX: 29.56 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenetV3 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.4705 0.941 1.4115 1.882 2.3525 SE +/- 0.010, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 9 2.091 2.071 2.083 MIN: 1.99 / MAX: 3.26 MIN: 1.99 / MAX: 4.73 MIN: 1.98 / MAX: 6.07 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: squeezenetv1.1 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.5864 1.1728 1.7592 2.3456 2.932 SE +/- 0.020, N = 3 SE +/- 0.015, N = 3 SE +/- 0.012, N = 9 2.592 2.537 2.606 MIN: 2.48 / MAX: 5.22 MIN: 2.47 / MAX: 4.14 MIN: 2.49 / MAX: 16.46 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: resnet-v2-50 Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.099, N = 3 SE +/- 0.025, N = 3 SE +/- 0.037, N = 9 10.148 9.850 9.932 MIN: 9.88 / MAX: 23.7 MIN: 9.74 / MAX: 31.53 MIN: 9.74 / MAX: 23.92 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: SqueezeNetV1.0 Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.118 2.236 3.354 4.472 5.59 SE +/- 0.043, N = 3 SE +/- 0.009, N = 3 SE +/- 0.019, N = 9 4.892 4.897 4.969 MIN: 4.79 / MAX: 17.74 MIN: 4.84 / MAX: 18.25 MIN: 4.87 / MAX: 7.19 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Contextual Anomaly Detector OSE Linux 5.10.130 Linux 5.15.83 Linux 6.1 13 26 39 52 65 SE +/- 0.29, N = 3 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 55.73 55.66 55.82
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: MobileNetV2_224 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.8674 1.7348 2.6022 3.4696 4.337 SE +/- 0.007, N = 3 SE +/- 0.020, N = 3 SE +/- 0.020, N = 9 3.855 3.752 3.831 MIN: 3.65 / MAX: 16.53 MIN: 3.56 / MAX: 17.6 MIN: 3.59 / MAX: 5.87 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.6026 1.2052 1.8078 2.4104 3.013 SE +/- 0.044, N = 3 SE +/- 0.047, N = 3 SE +/- 0.028, N = 9 2.678 2.639 2.640 MIN: 2.4 / MAX: 5.22 MIN: 2.38 / MAX: 3.73 MIN: 2.36 / MAX: 16.9 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: inception-v3 Linux 5.10.130 Linux 5.15.83 Linux 6.1 5 10 15 20 25 SE +/- 0.36, N = 3 SE +/- 0.38, N = 3 SE +/- 0.32, N = 9 22.73 22.44 22.79 MIN: 22.05 / MAX: 36.04 MIN: 21.58 / MAX: 36.88 MIN: 21.59 / MAX: 102.89 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Neural Magic DeepSparse OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 10.52 10.45 10.41
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 160 320 480 640 800 SE +/- 1.03, N = 3 SE +/- 2.20, N = 3 SE +/- 4.45, N = 3 758.03 759.35 764.74
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.0301, N = 3 SE +/- 0.0357, N = 3 SE +/- 0.0848, N = 3 9.5996 9.6141 9.5393
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.33, N = 3 SE +/- 0.39, N = 3 SE +/- 0.93, N = 3 104.16 104.01 104.83
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 12 24 36 48 60 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 55.42 55.58 55.44
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.43, N = 3 SE +/- 0.31, N = 3 SE +/- 0.38, N = 3 144.24 143.81 144.21
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 10 20 30 40 50 SE +/- 0.26, N = 3 SE +/- 0.47, N = 7 SE +/- 0.21, N = 3 43.76 42.90 43.32
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 6 12 18 24 30 SE +/- 0.14, N = 3 SE +/- 0.27, N = 7 SE +/- 0.11, N = 3 22.84 23.31 23.07
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 86.66 86.94 86.88
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 92.21 91.99 92.05
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 75.26 75.04 75.26
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 13.27 13.31 13.27
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 50 100 150 200 250 SE +/- 0.10, N = 3 SE +/- 0.45, N = 3 SE +/- 0.45, N = 3 219.36 219.01 218.69
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 36.44 36.50 36.54
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 1.67, N = 3 SE +/- 0.54, N = 3 SE +/- 2.16, N = 3 132.65 134.13 132.51
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.0949, N = 3 SE +/- 0.0304, N = 3 SE +/- 0.1212, N = 3 7.5265 7.4408 7.5359
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.53, N = 3 SE +/- 0.47, N = 3 108.55 108.34 108.74
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.36, N = 3 SE +/- 0.32, N = 3 73.68 73.82 73.55
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 16 32 48 64 80 SE +/- 0.65, N = 3 SE +/- 0.33, N = 3 SE +/- 0.51, N = 3 73.60 72.06 71.89
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 13.58 13.87 13.90
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 12 24 36 48 60 SE +/- 0.12, N = 3 SE +/- 0.27, N = 3 SE +/- 0.16, N = 3 55.54 54.43 54.27
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.30, N = 3 SE +/- 0.74, N = 3 SE +/- 0.43, N = 3 144.01 146.95 147.38
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 9 18 27 36 45 SE +/- 0.15, N = 3 SE +/- 0.41, N = 3 SE +/- 0.31, N = 3 38.44 37.76 37.21
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 6 12 18 24 30 SE +/- 0.10, N = 3 SE +/- 0.29, N = 3 SE +/- 0.23, N = 3 26.00 26.48 26.87
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 10.54 10.43 10.38
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 160 320 480 640 800 SE +/- 2.25, N = 3 SE +/- 1.90, N = 3 SE +/- 2.74, N = 3 752.83 760.84 763.31
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.0549, N = 3 SE +/- 0.0282, N = 3 SE +/- 0.0209, N = 3 9.6153 9.6111 9.6532
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.59, N = 3 SE +/- 0.31, N = 3 SE +/- 0.22, N = 3 104.00 104.04 103.58
spaCy The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org tokens/sec, More Is Better spaCy 3.4.1 Model: en_core_web_lg Linux 5.10.130 Linux 5.15.83 Linux 6.1 2K 4K 6K 8K 10K SE +/- 15.62, N = 3 SE +/- 10.74, N = 3 SE +/- 18.76, N = 3 11314 11236 11231
OpenBenchmarking.org tokens/sec, More Is Better spaCy 3.4.1 Model: en_core_web_trf Linux 5.10.130 Linux 5.15.83 Linux 6.1 500 1000 1500 2000 2500 SE +/- 9.87, N = 3 SE +/- 6.33, N = 3 SE +/- 7.51, N = 3 2446 2416 2341
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mobilenet Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.18, N = 6 SE +/- 0.01, N = 3 14.54 14.71 14.45 MIN: 14.37 / MAX: 17.06 MIN: 14.26 / MAX: 15.75 MIN: 14.31 / MAX: 15.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.2533 2.5066 3.7599 5.0132 6.2665 SE +/- 0.01, N = 3 SE +/- 0.01, N = 6 SE +/- 0.01, N = 3 5.56 5.53 5.57 MIN: 5.44 / MAX: 6.03 MIN: 5.41 / MAX: 10.99 MIN: 5.49 / MAX: 6.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.1138 2.2276 3.3414 4.4552 5.569 SE +/- 0.01, N = 3 SE +/- 0.04, N = 6 SE +/- 0.01, N = 3 4.95 4.95 4.95 MIN: 4.85 / MAX: 5.91 MIN: 4.8 / MAX: 63.45 MIN: 4.86 / MAX: 5.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.2735 2.547 3.8205 5.094 6.3675 SE +/- 0.02, N = 3 SE +/- 0.01, N = 6 SE +/- 0.01, N = 3 5.66 5.59 5.63 MIN: 5.54 / MAX: 17.07 MIN: 5.48 / MAX: 6.6 MIN: 5.53 / MAX: 6.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.1048 2.2096 3.3144 4.4192 5.524 SE +/- 0.03, N = 3 SE +/- 0.00, N = 6 SE +/- 0.01, N = 3 4.91 4.85 4.89 MIN: 4.74 / MAX: 16.51 MIN: 4.72 / MAX: 7.62 MIN: 4.81 / MAX: 5.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.01, N = 6 SE +/- 0.01, N = 3 7.06 6.99 7.04 MIN: 6.92 / MAX: 7.42 MIN: 6.89 / MAX: 8.15 MIN: 6.92 / MAX: 7.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.5355 1.071 1.6065 2.142 2.6775 SE +/- 0.01, N = 3 SE +/- 0.00, N = 6 SE +/- 0.01, N = 3 2.38 2.29 2.36 MIN: 2.2 / MAX: 2.75 MIN: 2.23 / MAX: 3.1 MIN: 2.3 / MAX: 2.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.05, N = 3 SE +/- 0.02, N = 6 SE +/- 0.02, N = 3 11.57 11.46 11.48 MIN: 11.39 / MAX: 11.86 MIN: 11.27 / MAX: 12.43 MIN: 11.33 / MAX: 12.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 Linux 5.10.130 Linux 5.15.83 Linux 6.1 7 14 21 28 35 SE +/- 0.13, N = 3 SE +/- 1.00, N = 6 SE +/- 0.10, N = 3 26.95 27.69 26.52 MIN: 26.65 / MAX: 27.51 MIN: 26.21 / MAX: 33.47 MIN: 26.22 / MAX: 27.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.22, N = 6 SE +/- 0.01, N = 3 8.09 8.05 7.85 MIN: 7.89 / MAX: 9.29 MIN: 7.68 / MAX: 9.97 MIN: 7.74 / MAX: 10.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.233 2.466 3.699 4.932 6.165 SE +/- 0.01, N = 3 SE +/- 0.08, N = 6 SE +/- 0.01, N = 3 5.46 5.48 5.46 MIN: 5.35 / MAX: 5.85 MIN: 5.3 / MAX: 6.07 MIN: 5.35 / MAX: 9.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.34, N = 6 SE +/- 0.13, N = 3 14.20 14.21 13.83 MIN: 13.99 / MAX: 15.03 MIN: 13.45 / MAX: 157.72 MIN: 13.51 / MAX: 26.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny Linux 5.10.130 Linux 5.15.83 Linux 6.1 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.39, N = 6 SE +/- 0.09, N = 3 23.60 23.89 23.35 MIN: 23.16 / MAX: 27.3 MIN: 22.91 / MAX: 31.78 MIN: 23.01 / MAX: 26.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.12, N = 3 SE +/- 0.12, N = 6 SE +/- 0.14, N = 3 17.13 16.85 16.76 MIN: 16.75 / MAX: 17.86 MIN: 16.41 / MAX: 19.23 MIN: 16.41 / MAX: 17.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m Linux 5.10.130 Linux 5.15.83 Linux 6.1 5 10 15 20 25 SE +/- 0.15, N = 3 SE +/- 0.02, N = 6 SE +/- 0.03, N = 3 18.83 18.67 18.70 MIN: 18.43 / MAX: 58.94 MIN: 18.39 / MAX: 21.55 MIN: 18.43 / MAX: 19.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 0.96, N = 3 SE +/- 0.40, N = 6 SE +/- 0.61, N = 3 160.27 161.23 160.39 MIN: 158.5 / MAX: 166.42 MIN: 158.43 / MAX: 179.56 MIN: 158.59 / MAX: 172.13 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.02, N = 6 SE +/- 0.02, N = 3 7.02 6.91 6.96 MIN: 6.87 / MAX: 7.89 MIN: 6.78 / MAX: 7.67 MIN: 6.86 / MAX: 7.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
oneDNN OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.5168 1.0336 1.5504 2.0672 2.584 SE +/- 0.00305, N = 3 SE +/- 0.00109, N = 3 SE +/- 0.00145, N = 3 2.29636 2.29385 2.29708 MIN: 2.22 MIN: 2.19 MIN: 2.22 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.6978 1.3956 2.0934 2.7912 3.489 SE +/- 0.00480, N = 3 SE +/- 0.01196, N = 3 SE +/- 0.00478, N = 3 3.10144 3.08561 3.09433 MIN: 3.06 MIN: 3.05 MIN: 3.06 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.1119 0.2238 0.3357 0.4476 0.5595 SE +/- 0.000232, N = 3 SE +/- 0.000206, N = 3 SE +/- 0.000335, N = 3 0.496613 0.497248 0.496776 MIN: 0.48 MIN: 0.48 MIN: 0.48 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.2819 0.5638 0.8457 1.1276 1.4095 SE +/- 0.00257, N = 3 SE +/- 0.00241, N = 3 SE +/- 0.00376, N = 3 1.25271 1.25174 1.24871 MIN: 1.22 MIN: 1.22 MIN: 1.21 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.9702 1.9404 2.9106 3.8808 4.851 SE +/- 0.00912, N = 3 SE +/- 0.01348, N = 3 SE +/- 0.00632, N = 3 4.29153 4.31178 4.28618 MIN: 4.25 MIN: 4.24 MIN: 4.24 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.1207 2.2414 3.3621 4.4828 5.6035 SE +/- 0.01724, N = 3 SE +/- 0.01367, N = 3 SE +/- 0.02580, N = 3 4.70699 4.70834 4.98067 MIN: 4.43 MIN: 4.4 MIN: 4.62 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.7453 1.4906 2.2359 2.9812 3.7265 SE +/- 0.00465, N = 3 SE +/- 0.00438, N = 3 SE +/- 0.00768, N = 3 3.30606 3.29633 3.31244 MIN: 3.27 MIN: 3.27 MIN: 3.26 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.9458 1.8916 2.8374 3.7832 4.729 SE +/- 0.01257, N = 3 SE +/- 0.00929, N = 3 SE +/- 0.00677, N = 3 4.15869 4.20343 4.18096 MIN: 4.09 MIN: 4.13 MIN: 4.13 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.1218 0.2436 0.3654 0.4872 0.609 SE +/- 0.000704, N = 3 SE +/- 0.000263, N = 3 SE +/- 0.000200, N = 3 0.540654 0.540452 0.541430 MIN: 0.53 MIN: 0.53 MIN: 0.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.1916 0.3832 0.5748 0.7664 0.958 SE +/- 0.006451, N = 3 SE +/- 0.010105, N = 3 SE +/- 0.003867, N = 3 0.851455 0.846543 0.831866 MIN: 0.83 MIN: 0.82 MIN: 0.81 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 300 600 900 1200 1500 SE +/- 0.83, N = 3 SE +/- 0.39, N = 3 SE +/- 0.44, N = 3 1613.12 1611.14 1614.07 MIN: 1608.28 MIN: 1608.25 MIN: 1609.86 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 200 400 600 800 1000 SE +/- 2.14, N = 3 SE +/- 1.01, N = 3 SE +/- 1.41, N = 3 909.63 912.07 909.15 MIN: 903.56 MIN: 908.55 MIN: 904.93 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 300 600 900 1200 1500 SE +/- 2.14, N = 3 SE +/- 3.87, N = 3 SE +/- 1.70, N = 3 1621.84 1614.87 1618.86 MIN: 1617.11 MIN: 1607.67 MIN: 1614.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 200 400 600 800 1000 SE +/- 1.27, N = 3 SE +/- 0.73, N = 3 SE +/- 2.67, N = 3 911.82 908.19 913.94 MIN: 907.5 MIN: 904.52 MIN: 907.08 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.2168 0.4336 0.6504 0.8672 1.084 SE +/- 0.001517, N = 3 SE +/- 0.003629, N = 3 SE +/- 0.002932, N = 3 0.956399 0.961682 0.963400 MIN: 0.93 MIN: 0.93 MIN: 0.93 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.0711 0.1422 0.2133 0.2844 0.3555 SE +/- 0.000694, N = 3 SE +/- 0.001833, N = 3 SE +/- 0.000082, N = 3 0.313238 0.316005 0.313975 MIN: 0.3 MIN: 0.3 MIN: 0.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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 2022.2.dev Model: Face Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 1.3253 2.6506 3.9759 5.3012 6.6265 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 5.88 5.88 5.89 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 300 600 900 1200 1500 SE +/- 7.68, N = 3 SE +/- 8.21, N = 3 SE +/- 5.43, N = 3 1357.37 1356.35 1357.10 MIN: 1303.04 / MAX: 1429.1 MIN: 1238.64 / MAX: 1424.43 MIN: 1311.47 / MAX: 1435.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.7448 1.4896 2.2344 2.9792 3.724 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 3.31 3.30 3.28 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 500 1000 1500 2000 2500 SE +/- 6.79, N = 3 SE +/- 6.63, N = 3 SE +/- 4.48, N = 3 2400.02 2401.74 2415.31 MIN: 1971.05 / MAX: 2519.43 MIN: 2074.14 / MAX: 2532.54 MIN: 2186.01 / MAX: 2533.33 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.7313 1.4626 2.1939 2.9252 3.6565 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 3.25 3.25 3.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 500 1000 1500 2000 2500 SE +/- 6.93, N = 3 SE +/- 9.26, N = 3 SE +/- 5.75, N = 3 2436.30 2441.67 2451.10 MIN: 2086.23 / MAX: 2572.2 MIN: 2123.66 / MAX: 2621.99 MIN: 2080.43 / MAX: 2583.81 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 60 120 180 240 300 SE +/- 1.08, N = 3 SE +/- 0.06, N = 3 SE +/- 1.20, N = 3 272.09 272.80 267.62 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 7 14 21 28 35 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 29.37 29.29 29.86 MIN: 11.56 / MAX: 50.23 MIN: 13.39 / MAX: 49.34 MIN: 11.2 / MAX: 55.83 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 19.11 19.15 19.17 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 90 180 270 360 450 SE +/- 0.17, N = 3 SE +/- 0.53, N = 3 SE +/- 0.59, N = 3 417.71 416.95 416.16 MIN: 260.74 / MAX: 433.77 MIN: 240.72 / MAX: 434.4 MIN: 211.14 / MAX: 443.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 200 400 600 800 1000 SE +/- 5.71, N = 3 SE +/- 1.74, N = 3 SE +/- 0.69, N = 3 969.33 957.08 957.41 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 8.24 8.34 8.33 MIN: 4.42 / MAX: 23.84 MIN: 4.49 / MAX: 23.48 MIN: 4.48 / MAX: 25.96 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 140 280 420 560 700 SE +/- 0.68, N = 3 SE +/- 0.90, N = 3 SE +/- 1.31, N = 3 625.50 623.36 620.61 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 25.53 25.62 25.73 MIN: 13.67 / MAX: 47.14 MIN: 14.62 / MAX: 46.69 MIN: 14.41 / MAX: 47.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 14 28 42 56 70 SE +/- 0.70, N = 3 SE +/- 0.24, N = 3 SE +/- 0.40, N = 3 64.82 64.28 63.96 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 1.34, N = 3 SE +/- 0.46, N = 3 SE +/- 0.78, N = 3 123.34 124.34 124.97 MIN: 64 / MAX: 136.84 MIN: 64.41 / MAX: 139.86 MIN: 64.13 / MAX: 142.04 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 400 800 1200 1600 2000 SE +/- 1.36, N = 3 SE +/- 0.98, N = 3 SE +/- 1.06, N = 3 1991.75 1993.58 1992.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 8.02 8.01 8.02 MIN: 4.07 / MAX: 22.04 MIN: 5.89 / MAX: 26.32 MIN: 6 / MAX: 25.19 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 110 220 330 440 550 SE +/- 4.00, N = 13 SE +/- 4.62, N = 3 SE +/- 4.29, N = 11 485.36 485.19 491.24 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.14, N = 13 SE +/- 0.16, N = 3 SE +/- 0.15, N = 11 16.47 16.46 16.27 MIN: 7.86 / MAX: 36.14 MIN: 9.28 / MAX: 33.36 MIN: 7.67 / MAX: 36.05 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 3K 6K 9K 12K 15K SE +/- 110.56, N = 3 SE +/- 108.60, N = 3 SE +/- 96.54, N = 3 15259.86 15258.56 15144.32 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.234 0.468 0.702 0.936 1.17 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.04 1.03 1.04 MIN: 0.61 / MAX: 17.55 MIN: 0.61 / MAX: 17.94 MIN: 0.61 / MAX: 17.76 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 7K 14K 21K 28K 35K SE +/- 85.59, N = 3 SE +/- 38.88, N = 3 SE +/- 16.23, N = 3 31167.81 31007.38 30632.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.1148 0.2296 0.3444 0.4592 0.574 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.50 0.50 0.51 MIN: 0.31 / MAX: 16.57 MIN: 0.31 / MAX: 28.92 MIN: 0.32 / MAX: 15.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Linux 5.10.130 Linux 5.15.83 Linux 6.1 9 18 27 36 45 38.54 38.24 38.36 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 188.28 186.40 186.93 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Linux 5.10.130 Linux 5.15.83 Linux 6.1 50 100 150 200 250 241.49 242.25 242.92 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Linux 5.10.130 Linux 5.15.83 Linux 6.1 300 600 900 1200 1500 1598.70 1611.59 1607.40 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.7 Linux 5.10.130 Linux 5.15.83 Linux 6.1 11K 22K 33K 44K 55K SE +/- 129.98, N = 3 SE +/- 118.77, N = 3 SE +/- 144.43, N = 3 50605.56 50607.74 50609.28 1. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -lbsd -pthread
Primesieve Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e12 Linux 5.10.130 Linux 5.15.83 Linux 6.1 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 14.44 14.43 14.42 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e13 Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 0.36, N = 3 SE +/- 0.38, N = 3 SE +/- 0.47, N = 3 174.72 174.66 174.98 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Linux 5.10.130 Linux 5.15.83 Linux 6.1 20K 40K 60K 80K 100K SE +/- 259.98, N = 3 SE +/- 150.80, N = 3 SE +/- 264.89, N = 3 86432 86735 86680 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 3.20.3 Algorithm: Magi Linux 5.10.130 Linux 5.15.83 Linux 6.1 80 160 240 320 400 SE +/- 4.81, N = 3 SE +/- 4.11, N = 3 SE +/- 4.81, N = 3 374.94 373.55 373.45 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: x25x Linux 5.10.130 Linux 5.15.83 Linux 6.1 140 280 420 560 700 SE +/- 0.20, N = 3 SE +/- 1.51, N = 3 SE +/- 0.34, N = 3 640.06 641.61 638.64 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: scrypt Linux 5.10.130 Linux 5.15.83 Linux 6.1 110 220 330 440 550 SE +/- 3.92, N = 3 SE +/- 5.31, N = 3 SE +/- 2.46, N = 3 491.90 489.83 491.85 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Deepcoin Linux 5.10.130 Linux 5.15.83 Linux 6.1 3K 6K 9K 12K 15K SE +/- 46.67, N = 3 SE +/- 50.00, N = 3 14497 14500 14420 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Ringcoin Linux 5.10.130 Linux 5.15.83 Linux 6.1 600 1200 1800 2400 3000 SE +/- 27.91, N = 3 SE +/- 0.80, N = 3 SE +/- 1.62, N = 3 2833.09 2812.34 2800.62 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S Linux 5.10.130 Linux 5.15.83 Linux 6.1 200K 400K 600K 800K 1000K SE +/- 6874.21, N = 3 SE +/- 10686.26, N = 3 SE +/- 3289.87, N = 3 1149103 1150583 1137550 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Garlicoin Linux 5.10.130 Linux 5.15.83 Linux 6.1 1400 2800 4200 5600 7000 SE +/- 2.21, N = 3 SE +/- 11.67, N = 3 SE +/- 2.16, N = 3 6572.81 6594.18 6571.66 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Skeincoin Linux 5.10.130 Linux 5.15.83 Linux 6.1 30K 60K 90K 120K 150K SE +/- 169.54, N = 3 SE +/- 3.33, N = 3 SE +/- 283.78, N = 3 135103 134833 134320 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl Linux 5.10.130 Linux 5.15.83 Linux 6.1 4K 8K 12K 16K 20K SE +/- 286.72, N = 3 SE +/- 185.02, N = 3 SE +/- 135.32, N = 3 17363 17610 17477 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits Linux 5.10.130 Linux 5.15.83 Linux 6.1 20K 40K 60K 80K 100K SE +/- 656.84, N = 3 SE +/- 167.46, N = 3 SE +/- 615.39, N = 3 96820 96663 96010 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite Linux 5.10.130 Linux 5.15.83 Linux 6.1 50K 100K 150K 200K 250K SE +/- 820.33, N = 3 SE +/- 6.67, N = 3 SE +/- 258.61, N = 3 218830 218493 217237 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin Linux 5.10.130 Linux 5.15.83 Linux 6.1 70K 140K 210K 280K 350K SE +/- 2642.36, N = 3 SE +/- 661.12, N = 3 SE +/- 2222.66, N = 3 315913 313917 315723 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
AOM AV1 This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 11.70 11.77 11.65 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 37.88 37.86 36.10 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 11 22 33 44 55 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 48.05 47.66 45.41 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 11 22 33 44 55 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 48.34 48.33 45.97 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Swirl Linux 5.10.130 Linux 5.15.83 Linux 6.1 110 220 330 440 550 SE +/- 2.40, N = 3 SE +/- 1.53, N = 3 SE +/- 1.53, N = 3 502 499 491 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Rotate Linux 5.10.130 Linux 5.15.83 Linux 6.1 160 320 480 640 800 SE +/- 9.97, N = 5 SE +/- 1.76, N = 3 SE +/- 5.43, N = 15 757 731 668 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen Linux 5.10.130 Linux 5.15.83 Linux 6.1 40 80 120 160 200 SE +/- 1.33, N = 3 SE +/- 1.20, N = 3 SE +/- 1.33, N = 3 199 199 197 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced Linux 5.10.130 Linux 5.15.83 Linux 6.1 70 140 210 280 350 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 315 314 311 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Resizing Linux 5.10.130 Linux 5.15.83 Linux 6.1 300 600 900 1200 1500 SE +/- 7.42, N = 3 SE +/- 2.73, N = 3 SE +/- 2.91, N = 3 1333 1321 1299 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Noise-Gaussian Linux 5.10.130 Linux 5.15.83 Linux 6.1 70 140 210 280 350 SE +/- 1.76, N = 3 335 331 322 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: HWB Color Space Linux 5.10.130 Linux 5.15.83 Linux 6.1 200 400 600 800 1000 SE +/- 1.53, N = 3 SE +/- 1.67, N = 3 976 957 872 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 0.5587 1.1174 1.6761 2.2348 2.7935 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 2.475 2.483 2.460 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.20, N = 3 34.52 34.82 34.72 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.46, N = 3 SE +/- 0.62, N = 3 SE +/- 0.29, N = 3 126.50 127.53 126.76 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.69, N = 3 SE +/- 0.32, N = 3 SE +/- 0.62, N = 3 120.79 122.98 121.60 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.057, N = 3 SE +/- 0.016, N = 3 SE +/- 0.044, N = 3 7.046 6.985 7.024 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.40, N = 3 SE +/- 0.30, N = 3 SE +/- 0.46, N = 3 95.49 95.04 95.15 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Linux 5.10.130 Linux 5.15.83 Linux 6.1 90 180 270 360 450 SE +/- 0.88, N = 3 SE +/- 0.85, N = 3 SE +/- 2.62, N = 3 415.14 418.02 409.13 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Linux 5.10.130 Linux 5.15.83 Linux 6.1 90 180 270 360 450 SE +/- 0.82, N = 3 SE +/- 1.29, N = 3 SE +/- 1.64, N = 3 423.65 425.26 419.75 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: CPU-Only Linux 5.10.130 Linux 5.15.83 Linux 6.1 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 106.13 106.38 106.46
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Classroom - Compute: CPU-Only Linux 5.10.130 Linux 5.15.83 Linux 6.1 70 140 210 280 350 SE +/- 0.37, N = 3 SE +/- 0.22, N = 3 SE +/- 0.49, N = 3 318.28 317.07 318.71
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only Linux 5.10.130 Linux 5.15.83 Linux 6.1 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.30, N = 3 SE +/- 0.09, N = 3 144.25 144.34 144.29
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only Linux 5.10.130 Linux 5.15.83 Linux 6.1 200 400 600 800 1000 SE +/- 0.49, N = 3 SE +/- 0.12, N = 3 SE +/- 0.42, N = 3 1145.90 1144.82 1145.18
OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only Linux 5.10.130 Linux 5.15.83 Linux 6.1 80 160 240 320 400 SE +/- 0.42, N = 3 SE +/- 0.29, N = 3 SE +/- 0.42, N = 3 373.74 373.54 374.17
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 2 Linux 5.10.130 Linux 5.15.83 Linux 6.1 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.41, N = 3 SE +/- 0.25, N = 3 70.52 71.07 71.20 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6 Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.059, N = 3 SE +/- 0.054, N = 3 SE +/- 0.036, N = 3 6.689 6.749 6.798 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6, Lossless Linux 5.10.130 Linux 5.15.83 Linux 6.1 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 11.38 11.43 11.58 1. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 10, Lossless Linux 5.10.130 Linux 5.15.83 Linux 6.1 2 4 6 8 10 SE +/- 0.021, N = 3 SE +/- 0.017, N = 3 SE +/- 0.029, N = 3 6.637 6.666 6.909 1. (CXX) g++ options: -O3 -fPIC -lm
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 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 1500 3000 4500 6000 7500 SE +/- 10.90, N = 3 SE +/- 1.45, N = 3 7055 7046 7048 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 1600 3200 4800 6400 8000 SE +/- 2.33, N = 3 SE +/- 3.79, N = 3 SE +/- 2.52, N = 3 7242 7246 7245 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 2K 4K 6K 8K 10K SE +/- 5.51, N = 3 SE +/- 9.45, N = 3 8633 8628 8633 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 30K 60K 90K 120K 150K SE +/- 26.43, N = 3 SE +/- 135.52, N = 3 SE +/- 1530.19, N = 5 121467 121486 123000 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 50K 100K 150K 200K 250K SE +/- 254.40, N = 3 SE +/- 19.15, N = 3 SE +/- 262.34, N = 3 234216 234142 234371 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 30K 60K 90K 120K 150K SE +/- 68.75, N = 3 SE +/- 104.41, N = 3 SE +/- 1877.65, N = 3 124428 124556 126341 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 50K 100K 150K 200K 250K SE +/- 103.12, N = 3 SE +/- 62.00, N = 3 SE +/- 131.54, N = 3 239935 240311 240430 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 30K 60K 90K 120K 150K SE +/- 58.33, N = 3 SE +/- 69.67, N = 3 SE +/- 27.67, N = 3 146583 146570 146692 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 60K 120K 180K 240K 300K SE +/- 239.39, N = 3 SE +/- 192.14, N = 3 SE +/- 92.98, N = 3 284699 284853 284235 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 400 800 1200 1600 2000 SE +/- 0.67, N = 3 SE +/- 1.33, N = 3 SE +/- 0.58, N = 3 1778 1778 1779 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 400 800 1200 1600 2000 SE +/- 1.15, N = 3 SE +/- 0.67, N = 3 SE +/- 1.00, N = 3 1826 1826 1824 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 500 1000 1500 2000 2500 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 2178 2176 2173 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 6K 12K 18K 24K 30K SE +/- 8.11, N = 3 SE +/- 21.40, N = 3 SE +/- 9.70, N = 3 28409 28417 28479 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 14K 28K 42K 56K 70K SE +/- 37.27, N = 3 SE +/- 20.81, N = 3 SE +/- 527.74, N = 3 65271 65242 65894 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer Linux 5.10.130 Linux 5.15.83 Linux 6.1 6K 12K 18K 24K 30K SE +/- 28.26, N = 3 SE +/- 5.24, N = 3 29172 29206 29165 1. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread