12400 march Intel Core i5-12400 testing with a MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) and MSI Intel ADL-S GT1 14GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2303066-NE-12400MARC37&sro&gru .
12400 march Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution a b c Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads) MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) Intel Device 7aa7 16GB Western Digital WD_BLACK SN750 SE 500GB MSI Intel ADL-S GT1 14GB (1450MHz) Realtek ALC897 DELL S2409W Intel I225-V + Intel Device 7af0 Ubuntu 22.04 5.15.0-47-generic (x86_64) GNOME Shell 42.2 X Server + Wayland 4.6 Mesa 22.0.1 1.2.204 GCC 11.2.0 ext4 1920x1080 GCC 11.3.0 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - a: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - b: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - c: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9 Python Details - Python 3.10.6 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
12400 march minibude: OpenMP - BM1 minibude: OpenMP - BM2 stress-ng: Hash stress-ng: MMAP stress-ng: NUMA stress-ng: Poll stress-ng: Zlib stress-ng: Futex stress-ng: MEMFD stress-ng: Mutex stress-ng: Atomic stress-ng: Crypto stress-ng: Malloc stress-ng: Forking stress-ng: Pthread 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: Function Call 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 nekrs: TurboPipe Periodic ffmpeg: libx264 - Live ffmpeg: libx265 - Live ffmpeg: libx264 - Upload ffmpeg: libx265 - Upload ffmpeg: libx264 - Platform ffmpeg: libx265 - Platform ffmpeg: libx264 - Video On Demand ffmpeg: libx265 - Video On Demand openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU unvanquished: 1920 x 1080 - High unvanquished: 1920 x 1080 - Ultra unvanquished: 1920 x 1080 - Medium aom-av1: Speed 0 Two-Pass - Bosphorus 4K aom-av1: Speed 4 Two-Pass - Bosphorus 4K aom-av1: Speed 6 Realtime - Bosphorus 4K 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 aom-av1: Speed 0 Two-Pass - Bosphorus 1080p aom-av1: Speed 4 Two-Pass - Bosphorus 1080p aom-av1: Speed 6 Realtime - Bosphorus 1080p aom-av1: Speed 6 Two-Pass - Bosphorus 1080p aom-av1: Speed 8 Realtime - Bosphorus 1080p aom-av1: Speed 9 Realtime - Bosphorus 1080p aom-av1: Speed 10 Realtime - Bosphorus 1080p embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj kvazaar: Bosphorus 4K - Slow kvazaar: Bosphorus 4K - Medium kvazaar: Bosphorus 1080p - Slow kvazaar: Bosphorus 1080p - Medium kvazaar: Bosphorus 4K - Very Fast kvazaar: Bosphorus 4K - Super Fast kvazaar: Bosphorus 4K - Ultra Fast kvazaar: Bosphorus 1080p - Very Fast kvazaar: Bosphorus 1080p - Super Fast kvazaar: Bosphorus 1080p - Ultra Fast 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 uvg266: Bosphorus 4K - Slow uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 1080p - Slow uvg266: Bosphorus 1080p - Medium uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Super Fast uvg266: Bosphorus 4K - Ultra Fast uvg266: Bosphorus 1080p - Very Fast uvg266: Bosphorus 1080p - Super Fast uvg266: Bosphorus 1080p - Ultra Fast vpxenc: Speed 0 - Bosphorus 4K vpxenc: Speed 5 - Bosphorus 4K vpxenc: Speed 0 - Bosphorus 1080p vpxenc: Speed 5 - Bosphorus 1080p vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster minibude: OpenMP - BM1 minibude: OpenMP - BM2 xmrig: Monero - 1M xmrig: Wownero - 1M tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 64 - AlexNet tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 512 - AlexNet tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 512 - GoogLeNet openvkl: vklBenchmark ISPC openvkl: vklBenchmark Scalar 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 Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - 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 - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-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 - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-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 Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream 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 compress-zstd: 3 - Compression Speed compress-zstd: 3 - Decompression Speed compress-zstd: 8 - Compression Speed compress-zstd: 8 - Decompression Speed compress-zstd: 12 - Compression Speed compress-zstd: 12 - Decompression Speed compress-zstd: 19 - Compression Speed compress-zstd: 19 - Decompression Speed compress-zstd: 3, Long Mode - Compression Speed compress-zstd: 3, Long Mode - Decompression Speed compress-zstd: 8, Long Mode - Compression Speed compress-zstd: 8, Long Mode - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed openems: pyEMS Coupler openems: openEMS MSL_NotchFilter jpegxl: PNG - 80 jpegxl: PNG - 90 jpegxl: JPEG - 80 jpegxl: JPEG - 90 jpegxl: PNG - 100 jpegxl: JPEG - 100 jpegxl-decode: 1 jpegxl-decode: All gromacs: MPI CPU - water_GMX50_bare 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 cockroach: MoVR - 128 cockroach: MoVR - 256 cockroach: MoVR - 512 cockroach: MoVR - 1024 cockroach: KV, 10% Reads - 128 cockroach: KV, 10% Reads - 256 cockroach: KV, 10% Reads - 512 cockroach: KV, 50% Reads - 128 cockroach: KV, 50% Reads - 256 cockroach: KV, 50% Reads - 512 cockroach: KV, 60% Reads - 128 cockroach: KV, 60% Reads - 256 cockroach: KV, 60% Reads - 512 cockroach: KV, 95% Reads - 128 cockroach: KV, 95% Reads - 256 cockroach: KV, 95% Reads - 512 cockroach: KV, 10% Reads - 1024 cockroach: KV, 50% Reads - 1024 cockroach: KV, 60% Reads - 1024 cockroach: KV, 95% Reads - 1024 clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, Third Run stargate: 44100 - 512 stargate: 96000 - 512 stargate: 192000 - 512 stargate: 44100 - 1024 stargate: 480000 - 512 stargate: 96000 - 1024 stargate: 192000 - 1024 stargate: 480000 - 1024 keydb: GET - 50 keydb: SET - 50 keydb: GET - 100 keydb: LPOP - 50 keydb: SADD - 50 keydb: SET - 100 keydb: HMSET - 50 keydb: LPOP - 100 keydb: LPUSH - 50 keydb: SADD - 100 keydb: HMSET - 100 keydb: LPUSH - 100 nginx: 20 nginx: 100 nginx: 200 nginx: 500 nginx: 1000 pgbench: 1 - 100 - Read Only pgbench: 1 - 250 - Read Only pgbench: 1 - 500 - Read Only pgbench: 1 - 800 - Read Only pgbench: 1 - 100 - Read Write pgbench: 1 - 1000 - Read Only pgbench: 1 - 250 - Read Write pgbench: 1 - 500 - Read Write pgbench: 1 - 800 - Read Write pgbench: 1 - 1000 - Read Write pgbench: 100 - 100 - Read Only pgbench: 100 - 250 - Read Only pgbench: 100 - 500 - Read Only pgbench: 100 - 800 - Read Only pgbench: 100 - 100 - Read Write pgbench: 100 - 1000 - Read Only pgbench: 100 - 250 - Read Write pgbench: 100 - 500 - Read Write pgbench: 100 - 800 - Read Write pgbench: 100 - 1000 - Read Write brl-cad: VGR Performance Metric onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: 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: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU pgbench: 1 - 100 - Read Only - Average Latency pgbench: 1 - 250 - Read Only - Average Latency pgbench: 1 - 500 - Read Only - Average Latency pgbench: 1 - 800 - Read Only - Average Latency pgbench: 1 - 100 - Read Write - Average Latency pgbench: 1 - 1000 - Read Only - Average Latency pgbench: 1 - 250 - Read Write - Average Latency pgbench: 1 - 500 - Read Write - Average Latency pgbench: 1 - 800 - Read Write - Average Latency pgbench: 1 - 1000 - Read Write - Average Latency pgbench: 100 - 100 - Read Only - Average Latency pgbench: 100 - 250 - Read Only - Average Latency pgbench: 100 - 500 - Read Only - Average Latency pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 100 - Read Write - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 250 - Read Write - Average Latency pgbench: 100 - 500 - Read Write - Average Latency pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 1000 - Read Write - Average Latency openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU 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 Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - 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 - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-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 - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-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 Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream 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 avifenc: 0 avifenc: 2 avifenc: 6 avifenc: 6, Lossless avifenc: 10, Lossless build-ffmpeg: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig encode-flac: WAV To FLAC ffmpeg: libx264 - Live ffmpeg: libx265 - Live ffmpeg: libx264 - Upload ffmpeg: libx265 - Upload ffmpeg: libx264 - Platform ffmpeg: libx265 - Platform ffmpeg: libx264 - Video On Demand ffmpeg: libx265 - Video On Demand blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only encodec: 3 kbps encodec: 6 kbps encodec: 24 kbps encodec: 1.5 kbps scikit-learn: MNIST Dataset scikit-learn: TSNE MNIST Dataset scikit-learn: Sparse Rand Projections, 100 Iterations a b c 9.780 9.747 1548492.99 74.70 244.13 823762.13 717.35 1579624.88 58.57 4254720.23 146.11 14276.39 5226456.99 54276.34 128698.01 1965.75 177365.84 83.60 17781.86 1189258.32 45892.79 41733.97 49787.62 81909.45 2301.69 8703.54 1897936.07 1220179.93 101.42 8216877.60 29844655556 239.86 120.17 13.50 21.20 51.90 44.40 48.80 43.25 1.75 1.17 1.15 143.21 7.21 348.49 188.17 21.68 712.70 276.78 5560.27 6331.01 170.8 100.6 248.2 0.15 5.12 55.33 9.11 45.87 57.99 58.76 0.50 13.31 147.69 31.69 139.13 188.81 175.80 8.4875 9.3366 9.6958 8.7102 11.0588 9.5706 6.34 6.53 32.53 34.46 16.45 20.38 27.83 74.79 93.48 123.26 2.185 27.441 88.426 95.565 7.737 81.453 348.114 398.861 4.11 4.58 21.53 24.11 13.25 13.98 16.99 62.33 67.09 80.01 5.76 12.73 12.18 32.75 2.696 6.065 7.977 20.155 244.489 243.662 2901.8 5359.8 60.81 77.95 88.60 107.91 117.88 38.89 40.17 41.05 43.37 44.65 120 68 5.6401 5.4650 70.8341 49.1789 22.0196 20.1421 32.8927 30.5731 74.0988 64.2327 46.1009 38.3366 8.0798 7.9821 23.1401 19.5514 5.6434 5.4154 331.49 344.30 110.87 6392.10 1560.09 282207 1836.59 47853 11237 18438 48250 78157 1567.8 1592.6 202.6 1732.4 77.1 1758.9 12.6 1516.3 869.3 1619.4 198.4 1727.9 7.00 1444.4 39.72 98.88 8.05 7.94 7.93 7.79 0.69 0.68 50.05 217.33 0.852 846457 41614110 629944 1502792 1351 1518515 1546655 176.4 181.6 177.4 177.4 9270.5 17827.6 25625.0 16123.0 30043.8 32781.2 20255.7 34782.8 35029.4 52512.6 49613.5 43281.7 26050.8 30338.7 32151.8 40249.9 112.08 130.84 133.73 2.578599 1.930960 1.272677 2.705122 2.624567 2.071669 1.398663 2.743784 1481042.42 1249454.75 1283175.58 1403220.97 1345962.36 1069422.99 511218.21 1301994.00 1323318.97 1148270.29 361525.21 976117.59 62961.45 67993.52 61096.58 51922.48 41663.17 617706 462071 359165 307018 387 289205 367 321 277 263 541410 394526 317872 263950 4114 241540 4148 4472 4252 4070 132931 4.09853 10.3722 1.251871 2.50462 16.5925 8.69748 8.93885 18.2750 1.52665 2.00020 4329.65 2438.21 4341.92 2406.13 3.59719 4334.97 2437.96 1.20219 0.162 0.541 1.393 2.606 258.427 3.458 681.418 1561.269 2891.941 3797.314 0.185 0.634 1.573 3.031 24.552 4.141 60.802 113.076 188.706 246.313 2257.17 3384.14 3438.18 27.97 552.79 11.47 31.87 184.37 8.41 14.44 1.06 0.95 530.8351 182.9823 42.3370 20.3269 136.2739 49.6401 91.1945 32.7332 40.4680 15.5670 65.1167 26.0851 371.2707 125.2707 129.7351 51.1472 530.1789 184.6546 187.49 141.00 378.02 236.87 862.76 195.068 88.246 9.175 13.461 6.571 61.468 117.653 1605.965 17.324 21.05 42.02 187.09 119.13 145.95 170.61 155.27 175.13 172.01 493.25 242.51 1913.71 602.17 38.663 38.516 44.558 36.915 90.146 26.914 142.729 10.18 9.819 1549710.05 50.26 246.58 823948.19 717.62 1723742.38 41.65 4273551.98 145.01 14261.23 5241054.32 52494.81 130862.38 1723.13 176973.24 89.5 17780.76 1190334.27 46046.48 41733.47 49807.05 81907.97 2295.12 9385.83 1941869.46 1273002.92 102.53 8225295.79 30699700000 241.95 119.65 13.43 21.11 51.56 44.36 51.90 44.31 1.77 1.18 1.16 126.78 7.39 347.83 190.2 21.87 719.91 279.3 5661.39 6344.82 171.1 100.5 248.1 0.16 5.22 54.93 9.15 46.2 58.45 58.66 0.54 13.31 145.58 31.54 139.06 171.53 177.46 8.7189 9.5395 9.7857 8.7168 11.1432 9.6296 6.52 6.64 33.27 34.52 17.22 21.04 29.11 74.73 93.52 121.82 2.257 27.782 69.565 96.58 7.809 81.399 348.913 399.081 4.22 4.64 22.34 25.05 13.57 14.3 17.49 64.1 67.46 79.81 5.72 12.02 11.57 32.33 2.742 5.893 8.085 20.859 254.507 245.471 2943.7 5362.5 61.24 77.8 88.45 108.69 118.22 39.2 40.32 40.8 43.6 44.7 120 69 5.7386 5.4027 58.9625 49.0317 20.4372 16.973 33.7778 30.9632 78.0436 65.0336 46.6993 37.6351 8.0647 8.0658 23.743 18.9371 5.6888 5.4379 327.09 367.28 111.65 6428.9 1583.58 302980 1908.99 48410 11090 19200 48310 77950 1588.6 1596.2 203.6 1733.2 77.2 1761.7 12.3 1512.3 866.5 1618.7 199.8 1725.8 7.06 1451.7 39.86 98.72 8.19 8.09 8.06 7.89 0.69 0.69 50.83 226.31 0.851 866381 43152112 624540 1511361 1239 1531157 1562812 161.5 173.6 177.3 177.4 9148.7 17639.6 24787.3 15644.6 30151.3 32901.1 19591.8 34070.8 34456.3 51610.2 49024 43180.1 26158.4 30358.1 32001.2 40176.2 114.01 129.64 130.95 2.570597 1.918443 1.272057 2.697438 2.593242 2.048931 1.387099 2.722846 1373626.38 1253729.88 1382055.38 1585238.25 1920122.88 1146000.38 518247.5 1336505.38 1252473.62 1137811.75 360477.28 1010733.94 64372.01 68835.78 61654.77 51890.45 42015.72 624238 472171 376302 301467 384 284352 356 325 280 250 549838 407921 316288 275540 4230 240426 3673 4821 3679 3652 132058 3.9326 10.557 1.64076 2.45278 16.6124 8.37239 8.13373 18.4063 1.41538 2.01154 4234.91 2398.62 4289.21 2394.33 3.59364 4270.75 2403.19 1.19925 0.16 0.529 1.329 2.654 260.581 3.517 702.475 1536.855 2861.265 4001.537 0.182 0.613 1.581 2.903 23.642 4.159 68.072 103.714 217.462 273.835 2239.72 3363.57 3394.57 31.54 541.21 11.49 31.53 182.53 8.32 14.31 1.04 0.94 522.759 185.0876 50.8421 20.3874 146.7171 58.9068 88.7828 32.2883 38.4298 15.3717 64.2317 26.5668 371.9694 123.9679 126.3428 52.8025 526.9595 183.8898 187.53 141.91 375.59 233.55 855.12 193.626 87.041 9.277 13.724 6.438 59.353 117.843 1581.695 19.297 20.87 42.21 188.02 119.626569107 146.92 170.76 145.95 170.95 169.97 491.93 242.4 1918.11 601.73 38.375 41.175 43.528 41.029 90.819 26.708 142.603 10.172 9.809 1548182.16 49.73 245 823174.05 716.14 1689762.38 52.99 4254389.29 162.65 14271.88 5200128.82 54204.65 132268.72 2856.89 178115.64 72.1 17782.21 1188758.84 45978.84 41779.98 49784.19 81907.39 2285.43 9379.73 1906264.57 1288214.51 102.73 8192747.72 30696900000 235.80 118.36 13.45 21.24 52.00 44.53 51.73 44.55 1.75 1.15 1.16 149.21 7.28 346.34 189.32 21.54 717.7 278.2 5687.23 6357.31 170.7 100.7 248.2 0.16 5.17 55.31 9.21 46.08 58.38 58.53 0.54 13.31 169.96 32.35 140.47 201.29 168.56 8.6301 9.482 9.7544 8.7124 11.1121 9.5837 6.45 6.6 33.22 34.5 17.13 20.92 28.85 75.04 93.3 123.33 2.25 27.504 68.862 95.093 7.75 81.021 347.219 397.306 4.2 4.62 22.14 24.96 13.5 14.24 17.41 64.13 67.36 79.41 5.73 12.25 12.69 32.38 2.725 5.857 8.02 20.592 254.306 245.226 2952.3 5388.2 60.69 77.44 89.08 108.83 118.5 38.53 40.08 40.83 43.37 44.62 121 68 5.7729 5.4023 71.6306 49.3305 22.1491 20.6062 33.2636 30.97 76.8831 64.9894 47.5035 39.5957 8.0373 8.0666 23.9381 19.6773 5.7586 5.4437 326.58 368.41 111.66 6368.98 1586.86 295250 1895.32 48670 11100 19710 48320 77940 1583.6 1598.4 203.6 1734.3 77.3 1762.2 12.4 1515.1 866.1 1620.2 200.4 1728.6 7.02 1447.2 39.95 98.77 8.22 8.09 8.09 7.96 0.7 0.69 50.48 225.63 0.849 1102439 42975995 664157 1461566 3193 1532546 1568201 161.5 173.8 173.9 176.1 9128.1 17585.4 25709 15733 29377.9 32572.9 19566.6 34301.1 34933.3 51080.3 49764.2 43303.9 26199.1 30286.7 31560.1 40255.3 112.44 134.75 137.07 2.575363 1.923352 1.267444 2.687449 2.60295 2.05266 1.392746 2.717116 1690102.75 1422030.12 1273333.88 1479465 1225640.5 1049912.88 506124.09 1303645 1317870.38 1193659.25 343680.41 967773.12 64314.45 68707.49 61396.93 51737.26 42016.88 638011 465619 365485 313503 397 283973 358 334 268 252 544459 411468 317863 264500 5102 232445 6005 6036 6425 4518 132368 3.95246 10.4342 0.959942 2.43532 16.5893 8.4404 9.3367 18.2347 1.4093 2.0105 4253.17 2410.16 4303.62 2388.51 3.60705 4291.98 4000.34 1.18228 0.157 0.537 1.368 2.552 252.003 3.521 697.892 1495.631 2990.051 3967.365 0.184 0.608 1.573 3.025 19.602 4.302 41.632 82.83 124.508 221.36 2256.4 3402.11 3413.87 26.79 549.42 11.54 31.68 185.48 8.35 14.37 1.04 0.94 519.6558 185.1037 41.8658 20.2639 135.4278 48.5207 90.1585 32.2818 39.0101 15.3825 63.1436 25.2518 373.2362 123.9547 125.3122 50.8162 520.9494 183.6924 188.06 141.1 376.26 235.09 854.21 195.07 86.434 9.268 13.727 6.439 59.453 118.795 1591.758 19.609 21.42 42.67 187.76 118.90 145.67 170.11 146.45 170.03 169.98 492.05 242.75 1921.09 604.27 40.903 40.12 45.309 38.706 90.838 26.864 142.501 OpenBenchmarking.org
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 a b c 3 6 9 12 15 SE +/- 0.087, N = 7 9.780 10.180 10.172 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 a b c 3 6 9 12 15 SE +/- 0.016, N = 3 9.747 9.819 9.809 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
Stress-NG Test: Hash OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Hash a b c 300K 600K 900K 1200K 1500K SE +/- 854.18, N = 3 1548492.99 1549710.05 1548182.16 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: MMAP OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: MMAP a b c 20 40 60 80 100 SE +/- 2.50, N = 15 74.70 50.26 49.73 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: NUMA OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: NUMA a b c 50 100 150 200 250 SE +/- 0.70, N = 3 244.13 246.58 245.00 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Poll OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Poll a b c 200K 400K 600K 800K 1000K SE +/- 379.65, N = 3 823762.13 823948.19 823174.05 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Zlib OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Zlib a b c 150 300 450 600 750 SE +/- 0.29, N = 3 717.35 717.62 716.14 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Futex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Futex a b c 400K 800K 1200K 1600K 2000K SE +/- 41062.68, N = 15 1579624.88 1723742.38 1689762.38 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: MEMFD OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: MEMFD a b c 13 26 39 52 65 SE +/- 3.98, N = 12 58.57 41.65 52.99 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Mutex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Mutex a b c 900K 1800K 2700K 3600K 4500K SE +/- 2569.53, N = 3 4254720.23 4273551.98 4254389.29 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Atomic OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Atomic a b c 40 80 120 160 200 SE +/- 3.12, N = 15 146.11 145.01 162.65 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Crypto OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Crypto a b c 3K 6K 9K 12K 15K SE +/- 2.58, N = 3 14276.39 14261.23 14271.88 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Malloc OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Malloc a b c 1.1M 2.2M 3.3M 4.4M 5.5M SE +/- 19639.79, N = 3 5226456.99 5241054.32 5200128.82 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Forking OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Forking a b c 12K 24K 36K 48K 60K SE +/- 302.19, N = 3 54276.34 52494.81 54204.65 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Pthread OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Pthread a b c 30K 60K 90K 120K 150K SE +/- 1404.99, N = 4 128698.01 130862.38 132268.72 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: IO_uring OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: IO_uring a b c 600 1200 1800 2400 3000 SE +/- 36.56, N = 15 1965.75 1723.13 2856.89 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: SENDFILE OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: SENDFILE a b c 40K 80K 120K 160K 200K SE +/- 184.17, N = 3 177365.84 176973.24 178115.64 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: CPU Cache OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: CPU Cache a b c 20 40 60 80 100 SE +/- 2.33, N = 12 83.60 89.50 72.10 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: CPU Stress OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: CPU Stress a b c 4K 8K 12K 16K 20K SE +/- 32.25, N = 3 17781.86 17780.76 17782.21 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Semaphores OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Semaphores a b c 300K 600K 900K 1200K 1500K SE +/- 593.53, N = 3 1189258.32 1190334.27 1188758.84 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Matrix Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Matrix Math a b c 10K 20K 30K 40K 50K SE +/- 69.96, N = 3 45892.79 46046.48 45978.84 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Vector Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Vector Math a b c 9K 18K 27K 36K 45K SE +/- 3.69, N = 3 41733.97 41733.47 41779.98 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Function Call OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Function Call a b c 11K 22K 33K 44K 55K SE +/- 1.32, N = 3 49787.62 49807.05 49784.19 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: x86_64 RdRand OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: x86_64 RdRand a b c 20K 40K 60K 80K 100K SE +/- 0.57, N = 3 81909.45 81907.97 81907.39 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Memory Copying OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Memory Copying a b c 500 1000 1500 2000 2500 SE +/- 14.39, N = 3 2301.69 2295.12 2285.43 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Socket Activity OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Socket Activity a b c 2K 4K 6K 8K 10K SE +/- 146.72, N = 15 8703.54 9385.83 9379.73 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Context Switching OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Context Switching a b c 400K 800K 1200K 1600K 2000K SE +/- 48908.21, N = 15 1897936.07 1941869.46 1906264.57 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Glibc C String Functions OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Glibc C String Functions a b c 300K 600K 900K 1200K 1500K SE +/- 9938.23, N = 9 1220179.93 1273002.92 1288214.51 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: Glibc Qsort Data Sorting OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: Glibc Qsort Data Sorting a b c 20 40 60 80 100 SE +/- 0.60, N = 3 101.42 102.53 102.73 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
Stress-NG Test: System V Message Passing OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.04 Test: System V Message Passing a b c 2M 4M 6M 8M 10M SE +/- 10695.76, N = 3 8216877.60 8225295.79 8192747.72 1. (CC) gcc options: -std=gnu99 -O2 -lm -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
nekRS Input: TurboPipe Periodic OpenBenchmarking.org FLOP/s, More Is Better nekRS 22.0 Input: TurboPipe Periodic a b c 7000M 14000M 21000M 28000M 35000M SE +/- 533119138.01, N = 9 29844655556 30699700000 30696900000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi
FFmpeg Encoder: libx264 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Live a b c 50 100 150 200 250 SE +/- 0.14, N = 3 239.86 241.95 235.80 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live a b c 30 60 90 120 150 SE +/- 0.43, N = 3 120.17 119.65 118.36 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Upload a b c 3 6 9 12 15 SE +/- 0.02, N = 3 13.50 13.43 13.45 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload a b c 5 10 15 20 25 SE +/- 0.03, N = 3 21.20 21.11 21.24 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Platform a b c 12 24 36 48 60 SE +/- 0.27, N = 3 51.90 51.56 52.00 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform a b c 10 20 30 40 50 SE +/- 0.03, N = 3 44.40 44.36 44.53 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand a b c 12 24 36 48 60 SE +/- 0.66, N = 3 48.80 51.90 51.73 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand a b c 10 20 30 40 50 SE +/- 0.04, N = 3 43.25 44.31 44.55 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU a b c 0.3983 0.7966 1.1949 1.5932 1.9915 SE +/- 0.02, N = 3 1.75 1.77 1.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU a b c 0.2655 0.531 0.7965 1.062 1.3275 SE +/- 0.01, N = 3 1.17 1.18 1.15 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU a b c 0.261 0.522 0.783 1.044 1.305 SE +/- 0.01, N = 3 1.15 1.16 1.16 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU a b c 30 60 90 120 150 SE +/- 1.79, N = 14 143.21 126.78 149.21 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU a b c 2 4 6 8 10 SE +/- 0.04, N = 3 7.21 7.39 7.28 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 80 160 240 320 400 SE +/- 1.63, N = 3 348.49 347.83 346.34 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU a b c 40 80 120 160 200 SE +/- 0.88, N = 3 188.17 190.20 189.32 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU a b c 5 10 15 20 25 SE +/- 0.09, N = 3 21.68 21.87 21.54 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 160 320 480 640 800 SE +/- 3.68, N = 3 712.70 719.91 717.70 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 60 120 180 240 300 SE +/- 1.32, N = 3 276.78 279.30 278.20 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 1200 2400 3600 4800 6000 SE +/- 27.53, N = 3 5560.27 5661.39 5687.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 1400 2800 4200 5600 7000 SE +/- 19.43, N = 3 6331.01 6344.82 6357.31 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
Unvanquished Resolution: 1920 x 1080 - Effects Quality: High OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: High a b c 40 80 120 160 200 SE +/- 0.20, N = 3 170.8 171.1 170.7
Unvanquished Resolution: 1920 x 1080 - Effects Quality: Ultra OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Ultra a b c 20 40 60 80 100 SE +/- 0.03, N = 3 100.6 100.5 100.7
Unvanquished Resolution: 1920 x 1080 - Effects Quality: Medium OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Medium a b c 50 100 150 200 250 SE +/- 0.09, N = 3 248.2 248.1 248.2
AOM AV1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K a b c 0.036 0.072 0.108 0.144 0.18 SE +/- 0.00, N = 7 0.15 0.16 0.16 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K a b c 1.1745 2.349 3.5235 4.698 5.8725 SE +/- 0.00, N = 3 5.12 5.22 5.17 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K a b c 12 24 36 48 60 SE +/- 0.37, N = 14 55.33 54.93 55.31 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K a b c 3 6 9 12 15 SE +/- 0.03, N = 3 9.11 9.15 9.21 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K a b c 10 20 30 40 50 SE +/- 0.05, N = 3 45.87 46.20 46.08 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K a b c 13 26 39 52 65 SE +/- 0.04, N = 3 57.99 58.45 58.38 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K a b c 13 26 39 52 65 SE +/- 0.42, N = 12 58.76 58.66 58.53 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p a b c 0.1215 0.243 0.3645 0.486 0.6075 SE +/- 0.00, N = 15 0.50 0.54 0.54 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p a b c 3 6 9 12 15 SE +/- 0.13, N = 3 13.31 13.31 13.31 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p a b c 40 80 120 160 200 SE +/- 2.71, N = 15 147.69 145.58 169.96 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p a b c 8 16 24 32 40 SE +/- 0.42, N = 3 31.69 31.54 32.35 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p a b c 30 60 90 120 150 SE +/- 1.01, N = 11 139.13 139.06 140.47 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p a b c 40 80 120 160 200 SE +/- 3.99, N = 15 188.81 171.53 201.29 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p a b c 40 80 120 160 200 SE +/- 3.61, N = 15 175.80 177.46 168.56 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer - Model: Crown a b c 2 4 6 8 10 SE +/- 0.0433, N = 3 8.4875 8.7189 8.6301 MIN: 8.32 / MAX: 8.82 MIN: 8.66 / MAX: 8.9 MIN: 8.56 / MAX: 8.78
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer ISPC - Model: Crown a b c 3 6 9 12 15 SE +/- 0.0598, N = 3 9.3366 9.5395 9.4820 MIN: 9.13 / MAX: 9.88 MIN: 9.33 / MAX: 9.85 MIN: 9.26 / MAX: 9.81
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer - Model: Asian Dragon a b c 3 6 9 12 15 SE +/- 0.0065, N = 3 9.6958 9.7857 9.7544 MIN: 9.6 / MAX: 9.92 MIN: 9.73 / MAX: 9.93 MIN: 9.7 / MAX: 9.87
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Obj a b c 2 4 6 8 10 SE +/- 0.0103, N = 3 8.7102 8.7168 8.7124 MIN: 8.64 / MAX: 8.85 MIN: 8.66 / MAX: 8.83 MIN: 8.66 / MAX: 8.86
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon a b c 3 6 9 12 15 SE +/- 0.03, N = 3 11.06 11.14 11.11 MIN: 10.93 / MAX: 11.31 MIN: 11.05 / MAX: 11.33 MIN: 11.03 / MAX: 11.35
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj a b c 3 6 9 12 15 SE +/- 0.0123, N = 3 9.5706 9.6296 9.5837 MIN: 9.47 / MAX: 9.79 MIN: 9.56 / MAX: 9.84 MIN: 9.5 / MAX: 9.8
Kvazaar Video Input: Bosphorus 4K - Video Preset: Slow OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow a b c 2 4 6 8 10 SE +/- 0.03, N = 3 6.34 6.52 6.45 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 4K - Video Preset: Medium OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium a b c 2 4 6 8 10 SE +/- 0.02, N = 3 6.53 6.64 6.60 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 1080p - Video Preset: Slow OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow a b c 8 16 24 32 40 SE +/- 0.14, N = 3 32.53 33.27 33.22 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 1080p - Video Preset: Medium OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium a b c 8 16 24 32 40 SE +/- 0.14, N = 3 34.46 34.52 34.50 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast a b c 4 8 12 16 20 SE +/- 0.12, N = 3 16.45 17.22 17.13 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 4K - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast a b c 5 10 15 20 25 SE +/- 0.11, N = 3 20.38 21.04 20.92 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast a b c 7 14 21 28 35 SE +/- 0.21, N = 3 27.83 29.11 28.85 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 1080p - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast a b c 20 40 60 80 100 SE +/- 0.07, N = 3 74.79 74.73 75.04 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 1080p - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast a b c 20 40 60 80 100 SE +/- 0.19, N = 3 93.48 93.52 93.30 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 1080p - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast a b c 30 60 90 120 150 SE +/- 0.14, N = 3 123.26 121.82 123.33 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K a b c 0.5078 1.0156 1.5234 2.0312 2.539 SE +/- 0.007, N = 3 2.185 2.257 2.250 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K a b c 7 14 21 28 35 SE +/- 0.22, N = 3 27.44 27.78 27.50 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K a b c 20 40 60 80 100 SE +/- 0.17, N = 3 88.43 69.57 68.86 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K a b c 20 40 60 80 100 SE +/- 0.27, N = 3 95.57 96.58 95.09 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p a b c 2 4 6 8 10 SE +/- 0.018, N = 3 7.737 7.809 7.750 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p a b c 20 40 60 80 100 SE +/- 0.56, N = 3 81.45 81.40 81.02 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p a b c 80 160 240 320 400 SE +/- 1.08, N = 3 348.11 348.91 347.22 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p a b c 90 180 270 360 450 SE +/- 0.84, N = 3 398.86 399.08 397.31 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
uvg266 Video Input: Bosphorus 4K - Video Preset: Slow OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Slow a b c 0.9495 1.899 2.8485 3.798 4.7475 SE +/- 0.05, N = 3 4.11 4.22 4.20
uvg266 Video Input: Bosphorus 4K - Video Preset: Medium OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium a b c 1.044 2.088 3.132 4.176 5.22 SE +/- 0.01, N = 3 4.58 4.64 4.62
uvg266 Video Input: Bosphorus 1080p - Video Preset: Slow OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow a b c 5 10 15 20 25 SE +/- 0.02, N = 3 21.53 22.34 22.14
uvg266 Video Input: Bosphorus 1080p - Video Preset: Medium OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium a b c 6 12 18 24 30 SE +/- 0.14, N = 3 24.11 25.05 24.96
uvg266 Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast a b c 3 6 9 12 15 SE +/- 0.08, N = 3 13.25 13.57 13.50
uvg266 Video Input: Bosphorus 4K - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast a b c 4 8 12 16 20 SE +/- 0.08, N = 3 13.98 14.30 14.24
uvg266 Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast a b c 4 8 12 16 20 SE +/- 0.04, N = 3 16.99 17.49 17.41
uvg266 Video Input: Bosphorus 1080p - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast a b c 14 28 42 56 70 SE +/- 0.17, N = 3 62.33 64.10 64.13
uvg266 Video Input: Bosphorus 1080p - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast a b c 15 30 45 60 75 SE +/- 0.36, N = 3 67.09 67.46 67.36
uvg266 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast a b c 20 40 60 80 100 SE +/- 0.06, N = 3 80.01 79.81 79.41
VP9 libvpx Encoding Speed: Speed 0 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 4K a b c 1.296 2.592 3.888 5.184 6.48 SE +/- 0.02, N = 3 5.76 5.72 5.73 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
VP9 libvpx Encoding Speed: Speed 5 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K a b c 3 6 9 12 15 SE +/- 0.07, N = 3 12.73 12.02 12.25 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
VP9 libvpx Encoding Speed: Speed 0 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p a b c 3 6 9 12 15 SE +/- 0.13, N = 3 12.18 11.57 12.69 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
VP9 libvpx Encoding Speed: Speed 5 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p a b c 8 16 24 32 40 SE +/- 0.02, N = 3 32.75 32.33 32.38 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast a b c 0.617 1.234 1.851 2.468 3.085 SE +/- 0.016, N = 3 2.696 2.742 2.725 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster a b c 2 4 6 8 10 SE +/- 0.017, N = 3 6.065 5.893 5.857 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 1080p - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast a b c 2 4 6 8 10 SE +/- 0.014, N = 3 7.977 8.085 8.020 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 1080p - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster a b c 5 10 15 20 25 SE +/- 0.07, N = 3 20.16 20.86 20.59 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 a b c 60 120 180 240 300 SE +/- 2.17, N = 7 244.49 254.51 254.31 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 a b c 50 100 150 200 250 SE +/- 0.41, N = 3 243.66 245.47 245.23 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Monero - Hash Count: 1M a b c 600 1200 1800 2400 3000 SE +/- 10.62, N = 3 2901.8 2943.7 2952.3 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M a b c 1200 2400 3600 4800 6000 SE +/- 13.58, N = 3 5359.8 5362.5 5388.2 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet a b c 14 28 42 56 70 SE +/- 0.10, N = 3 60.81 61.24 60.69
TensorFlow Device: CPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet a b c 20 40 60 80 100 SE +/- 0.36, N = 3 77.95 77.80 77.44
TensorFlow Device: CPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet a b c 20 40 60 80 100 SE +/- 0.49, N = 3 88.60 88.45 89.08
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet a b c 20 40 60 80 100 SE +/- 0.09, N = 3 107.91 108.69 108.83
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet a b c 30 60 90 120 150 SE +/- 0.47, N = 3 117.88 118.22 118.50
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet a b c 9 18 27 36 45 SE +/- 0.03, N = 3 38.89 39.20 38.53
TensorFlow Device: CPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet a b c 9 18 27 36 45 SE +/- 0.11, N = 3 40.17 40.32 40.08
TensorFlow Device: CPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet a b c 9 18 27 36 45 SE +/- 0.09, N = 3 41.05 40.80 40.83
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet a b c 10 20 30 40 50 SE +/- 0.04, N = 3 43.37 43.60 43.37
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet a b c 10 20 30 40 50 SE +/- 0.04, N = 3 44.65 44.70 44.62
OpenVKL Benchmark: vklBenchmark ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC a b c 30 60 90 120 150 SE +/- 0.67, N = 3 120 120 121 MIN: 15 / MAX: 1750 MIN: 15 / MAX: 1749 MIN: 15 / MAX: 1739
OpenVKL Benchmark: vklBenchmark Scalar OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar a b c 15 30 45 60 75 SE +/- 0.33, N = 3 68 69 68 MIN: 7 / MAX: 1212 MIN: 7 / MAX: 1201 MIN: 7 / MAX: 1202
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b c 1.2989 2.5978 3.8967 5.1956 6.4945 SE +/- 0.0204, N = 3 5.6401 5.7386 5.7729
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream a b c 1.2296 2.4592 3.6888 4.9184 6.148 SE +/- 0.0157, N = 3 5.4650 5.4027 5.4023
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream a b c 16 32 48 64 80 SE +/- 0.07, N = 3 70.83 58.96 71.63
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream a b c 11 22 33 44 55 SE +/- 0.19, N = 3 49.18 49.03 49.33
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream a b c 5 10 15 20 25 SE +/- 0.30, N = 3 22.02 20.44 22.15
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream a b c 5 10 15 20 25 SE +/- 0.06, N = 3 20.14 16.97 20.61
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b c 8 16 24 32 40 SE +/- 0.35, N = 3 32.89 33.78 33.26
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream a b c 7 14 21 28 35 SE +/- 0.28, N = 12 30.57 30.96 30.97
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b c 20 40 60 80 100 SE +/- 0.23, N = 3 74.10 78.04 76.88
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream a b c 15 30 45 60 75 SE +/- 0.70, N = 3 64.23 65.03 64.99
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b c 11 22 33 44 55 SE +/- 0.38, N = 12 46.10 46.70 47.50
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream a b c 9 18 27 36 45 SE +/- 0.34, N = 3 38.34 37.64 39.60
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b c 2 4 6 8 10 SE +/- 0.0174, N = 3 8.0798 8.0647 8.0373
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream a b c 2 4 6 8 10 SE +/- 0.0263, N = 3 7.9821 8.0658 8.0666
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream a b c 6 12 18 24 30 SE +/- 0.20, N = 12 23.14 23.74 23.94
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream a b c 5 10 15 20 25 SE +/- 0.12, N = 3 19.55 18.94 19.68
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b c 1.2957 2.5914 3.8871 5.1828 6.4785 SE +/- 0.0208, N = 3 5.6434 5.6888 5.7586
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream a b c 1.2248 2.4496 3.6744 4.8992 6.124 SE +/- 0.0127, N = 3 5.4154 5.4379 5.4437
Cpuminer-Opt Algorithm: Magi OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Magi a b c 70 140 210 280 350 SE +/- 2.70, N = 3 331.49 327.09 326.58 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: x25x OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: x25x a b c 80 160 240 320 400 SE +/- 0.59, N = 3 344.30 367.28 368.41 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: scrypt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: scrypt a b c 20 40 60 80 100 SE +/- 0.41, N = 3 110.87 111.65 111.66 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Deepcoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Deepcoin a b c 1400 2800 4200 5600 7000 SE +/- 12.35, N = 3 6392.10 6428.90 6368.98 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Ringcoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Ringcoin a b c 300 600 900 1200 1500 SE +/- 14.19, N = 3 1560.09 1583.58 1586.86 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Blake-2 S OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S a b c 60K 120K 180K 240K 300K SE +/- 791.71, N = 3 282207 302980 295250 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Garlicoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Garlicoin a b c 400 800 1200 1600 2000 SE +/- 21.45, N = 4 1836.59 1908.99 1895.32 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Skeincoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Skeincoin a b c 10K 20K 30K 40K 50K SE +/- 360.94, N = 3 47853 48410 48670 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Myriad-Groestl OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl a b c 2K 4K 6K 8K 10K SE +/- 68.39, N = 3 11237 11090 11100 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: LBC, LBRY Credits OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits a b c 4K 8K 12K 16K 20K SE +/- 186.26, N = 5 18438 19200 19710 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Quad SHA-256, Pyrite OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite a b c 10K 20K 30K 40K 50K SE +/- 70.24, N = 3 48250 48310 48320 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Triple SHA-256, Onecoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin a b c 20K 40K 60K 80K 100K SE +/- 108.37, N = 3 78157 77950 77940 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Zstd Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed a b c 300 600 900 1200 1500 SE +/- 1.71, N = 3 1567.8 1588.6 1583.6 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed a b c 300 600 900 1200 1500 SE +/- 0.86, N = 3 1592.6 1596.2 1598.4 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed a b c 40 80 120 160 200 SE +/- 0.20, N = 3 202.6 203.6 203.6 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed a b c 400 800 1200 1600 2000 SE +/- 0.97, N = 3 1732.4 1733.2 1734.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 12 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed a b c 20 40 60 80 100 SE +/- 0.23, N = 3 77.1 77.2 77.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 12 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed a b c 400 800 1200 1600 2000 SE +/- 3.74, N = 3 1758.9 1761.7 1762.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed a b c 3 6 9 12 15 SE +/- 0.10, N = 15 12.6 12.3 12.4 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed a b c 300 600 900 1200 1500 SE +/- 0.83, N = 15 1516.3 1512.3 1515.1 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 3, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed a b c 200 400 600 800 1000 SE +/- 6.47, N = 3 869.3 866.5 866.1 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 3, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed a b c 300 600 900 1200 1500 SE +/- 0.35, N = 3 1619.4 1618.7 1620.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed a b c 40 80 120 160 200 SE +/- 0.15, N = 3 198.4 199.8 200.4 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed a b c 400 800 1200 1600 2000 SE +/- 1.39, N = 3 1727.9 1725.8 1728.6 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed a b c 2 4 6 8 10 SE +/- 0.01, N = 3 7.00 7.06 7.02 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed a b c 300 600 900 1200 1500 SE +/- 1.17, N = 3 1444.4 1451.7 1447.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
OpenEMS Test: pyEMS Coupler OpenBenchmarking.org MCells/s, More Is Better OpenEMS 0.0.35-86 Test: pyEMS Coupler a b c 9 18 27 36 45 SE +/- 0.06, N = 3 39.72 39.86 39.95 1. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat
OpenEMS Test: openEMS MSL_NotchFilter OpenBenchmarking.org MCells/s, More Is Better OpenEMS 0.0.35-86 Test: openEMS MSL_NotchFilter a b c 20 40 60 80 100 SE +/- 0.06, N = 3 98.88 98.72 98.77 1. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat
JPEG XL libjxl Input: PNG - Quality: 80 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 80 a b c 2 4 6 8 10 SE +/- 0.00, N = 3 8.05 8.19 8.22 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
JPEG XL libjxl Input: PNG - Quality: 90 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 90 a b c 2 4 6 8 10 SE +/- 0.01, N = 3 7.94 8.09 8.09 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
JPEG XL libjxl Input: JPEG - Quality: 80 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 a b c 2 4 6 8 10 SE +/- 0.01, N = 3 7.93 8.06 8.09 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
JPEG XL libjxl Input: JPEG - Quality: 90 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 a b c 2 4 6 8 10 SE +/- 0.01, N = 3 7.79 7.89 7.96 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
JPEG XL libjxl Input: PNG - Quality: 100 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: PNG - Quality: 100 a b c 0.1575 0.315 0.4725 0.63 0.7875 SE +/- 0.00, N = 3 0.69 0.69 0.70 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
JPEG XL libjxl Input: JPEG - Quality: 100 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 a b c 0.1553 0.3106 0.4659 0.6212 0.7765 SE +/- 0.00, N = 3 0.68 0.69 0.69 1. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
JPEG XL Decoding libjxl CPU Threads: 1 OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.7 CPU Threads: 1 a b c 11 22 33 44 55 SE +/- 0.34, N = 3 50.05 50.83 50.48
JPEG XL Decoding libjxl CPU Threads: All OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.7 CPU Threads: All a b c 50 100 150 200 250 SE +/- 0.07, N = 3 217.33 226.31 225.63
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare a b c 0.1917 0.3834 0.5751 0.7668 0.9585 SE +/- 0.003, N = 3 0.852 0.851 0.849 1. (CXX) g++ options: -O3
RocksDB Test: Random Fill OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Fill a b c 200K 400K 600K 800K 1000K SE +/- 20633.51, N = 15 846457 866381 1102439 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Read a b c 9M 18M 27M 36M 45M SE +/- 414703.47, N = 6 41614110 43152112 42975995 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Update Random a b c 140K 280K 420K 560K 700K SE +/- 6561.15, N = 5 629944 624540 664157 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Sequential Fill OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Sequential Fill a b c 300K 600K 900K 1200K 1500K SE +/- 3413.48, N = 3 1502792 1511361 1461566 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Random Fill Sync OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Fill Sync a b c 700 1400 2100 2800 3500 SE +/- 15.17, N = 3 1351 1239 3193 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read While Writing a b c 300K 600K 900K 1200K 1500K SE +/- 18612.51, N = 3 1518515 1531157 1532546 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read Random Write Random a b c 300K 600K 900K 1200K 1500K SE +/- 6061.26, N = 3 1546655 1562812 1568201 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
CockroachDB Workload: MoVR - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 128 a b c 40 80 120 160 200 SE +/- 1.32, N = 11 176.4 161.5 161.5
CockroachDB Workload: MoVR - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 256 a b c 40 80 120 160 200 SE +/- 0.00, N = 3 181.6 173.6 173.8
CockroachDB Workload: MoVR - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 512 a b c 40 80 120 160 200 SE +/- 0.00, N = 3 177.4 177.3 173.9
CockroachDB Workload: MoVR - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 1024 a b c 40 80 120 160 200 SE +/- 0.06, N = 3 177.4 177.4 176.1
CockroachDB Workload: KV, 10% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 a b c 2K 4K 6K 8K 10K SE +/- 11.01, N = 3 9270.5 9148.7 9128.1
CockroachDB Workload: KV, 10% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 a b c 4K 8K 12K 16K 20K SE +/- 126.23, N = 3 17827.6 17639.6 17585.4
CockroachDB Workload: KV, 10% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 512 a b c 6K 12K 18K 24K 30K SE +/- 297.75, N = 3 25625.0 24787.3 25709.0
CockroachDB Workload: KV, 50% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 a b c 3K 6K 9K 12K 15K SE +/- 199.13, N = 3 16123.0 15644.6 15733.0
CockroachDB Workload: KV, 50% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 a b c 6K 12K 18K 24K 30K SE +/- 375.67, N = 3 30043.8 30151.3 29377.9
CockroachDB Workload: KV, 50% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 512 a b c 7K 14K 21K 28K 35K SE +/- 338.62, N = 3 32781.2 32901.1 32572.9
CockroachDB Workload: KV, 60% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 a b c 4K 8K 12K 16K 20K SE +/- 104.08, N = 3 20255.7 19591.8 19566.6
CockroachDB Workload: KV, 60% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 a b c 7K 14K 21K 28K 35K SE +/- 405.43, N = 3 34782.8 34070.8 34301.1
CockroachDB Workload: KV, 60% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 512 a b c 8K 16K 24K 32K 40K SE +/- 342.69, N = 3 35029.4 34456.3 34933.3
CockroachDB Workload: KV, 95% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 a b c 11K 22K 33K 44K 55K SE +/- 345.86, N = 3 52512.6 51610.2 51080.3
CockroachDB Workload: KV, 95% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 a b c 11K 22K 33K 44K 55K SE +/- 168.75, N = 3 49613.5 49024.0 49764.2
CockroachDB Workload: KV, 95% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 512 a b c 9K 18K 27K 36K 45K SE +/- 83.04, N = 3 43281.7 43180.1 43303.9
CockroachDB Workload: KV, 10% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 1024 a b c 6K 12K 18K 24K 30K SE +/- 369.95, N = 3 26050.8 26158.4 26199.1
CockroachDB Workload: KV, 50% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 1024 a b c 7K 14K 21K 28K 35K SE +/- 65.26, N = 3 30338.7 30358.1 30286.7
CockroachDB Workload: KV, 60% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 1024 a b c 7K 14K 21K 28K 35K SE +/- 47.74, N = 3 32151.8 32001.2 31560.1
CockroachDB Workload: KV, 95% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 1024 a b c 9K 18K 27K 36K 45K SE +/- 52.10, N = 3 40249.9 40176.2 40255.3
ClickHouse 100M Rows Hits Dataset, First Run / Cold Cache OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache a b c 30 60 90 120 150 SE +/- 1.04, N = 9 112.08 114.01 112.44 MIN: 6.36 / MAX: 6666.67 MIN: 6.89 / MAX: 5000 MIN: 6.91 / MAX: 5454.55
ClickHouse 100M Rows Hits Dataset, Second Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run a b c 30 60 90 120 150 SE +/- 0.66, N = 9 130.84 129.64 134.75 MIN: 6.51 / MAX: 8571.43 MIN: 7.07 / MAX: 6000 MIN: 7.04 / MAX: 8571.43
ClickHouse 100M Rows Hits Dataset, Third Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run a b c 30 60 90 120 150 SE +/- 0.37, N = 9 133.73 130.95 137.07 MIN: 6.54 / MAX: 8571.43 MIN: 7.08 / MAX: 6000 MIN: 7.03 / MAX: 7500
Stargate Digital Audio Workstation Sample Rate: 44100 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 a b c 0.5802 1.1604 1.7406 2.3208 2.901 SE +/- 0.005177, N = 3 2.578599 2.570597 2.575363 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 96000 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 a b c 0.4345 0.869 1.3035 1.738 2.1725 SE +/- 0.000948, N = 3 1.930960 1.918443 1.923352 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 192000 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 a b c 0.2864 0.5728 0.8592 1.1456 1.432 SE +/- 0.003098, N = 3 1.272677 1.272057 1.267444 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 44100 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 a b c 0.6087 1.2174 1.8261 2.4348 3.0435 SE +/- 0.000534, N = 3 2.705122 2.697438 2.687449 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 480000 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 a b c 0.5905 1.181 1.7715 2.362 2.9525 SE +/- 0.002482, N = 3 2.624567 2.593242 2.602950 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 96000 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 a b c 0.4661 0.9322 1.3983 1.8644 2.3305 SE +/- 0.001510, N = 3 2.071669 2.048931 2.052660 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 192000 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 a b c 0.3147 0.6294 0.9441 1.2588 1.5735 SE +/- 0.005117, N = 3 1.398663 1.387099 1.392746 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 480000 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 a b c 0.6174 1.2348 1.8522 2.4696 3.087 SE +/- 0.003205, N = 3 2.743784 2.722846 2.717116 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
KeyDB Test: GET - Parallel Connections: 50 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: GET - Parallel Connections: 50 a b c 400K 800K 1200K 1600K 2000K SE +/- 63048.39, N = 15 1481042.42 1373626.38 1690102.75 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: SET - Parallel Connections: 50 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: SET - Parallel Connections: 50 a b c 300K 600K 900K 1200K 1500K SE +/- 40517.71, N = 12 1249454.75 1253729.88 1422030.12 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: GET - Parallel Connections: 100 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: GET - Parallel Connections: 100 a b c 300K 600K 900K 1200K 1500K SE +/- 15206.41, N = 3 1283175.58 1382055.38 1273333.88 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: LPOP - Parallel Connections: 50 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: LPOP - Parallel Connections: 50 a b c 300K 600K 900K 1200K 1500K SE +/- 22923.50, N = 15 1403220.97 1585238.25 1479465.00 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: SADD - Parallel Connections: 50 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: SADD - Parallel Connections: 50 a b c 400K 800K 1200K 1600K 2000K SE +/- 44518.65, N = 15 1345962.36 1920122.88 1225640.50 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: SET - Parallel Connections: 100 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: SET - Parallel Connections: 100 a b c 200K 400K 600K 800K 1000K SE +/- 12223.15, N = 4 1069422.99 1146000.38 1049912.88 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: HMSET - Parallel Connections: 50 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: HMSET - Parallel Connections: 50 a b c 110K 220K 330K 440K 550K SE +/- 2335.08, N = 3 511218.21 518247.50 506124.09 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: LPOP - Parallel Connections: 100 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: LPOP - Parallel Connections: 100 a b c 300K 600K 900K 1200K 1500K SE +/- 37181.44, N = 12 1301994.00 1336505.38 1303645.00 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: LPUSH - Parallel Connections: 50 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: LPUSH - Parallel Connections: 50 a b c 300K 600K 900K 1200K 1500K SE +/- 14149.76, N = 4 1323318.97 1252473.62 1317870.38 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: SADD - Parallel Connections: 100 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: SADD - Parallel Connections: 100 a b c 300K 600K 900K 1200K 1500K SE +/- 8944.31, N = 3 1148270.29 1137811.75 1193659.25 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: HMSET - Parallel Connections: 100 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: HMSET - Parallel Connections: 100 a b c 80K 160K 240K 320K 400K SE +/- 3780.33, N = 12 361525.21 360477.28 343680.41 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
KeyDB Test: LPUSH - Parallel Connections: 100 OpenBenchmarking.org Requests Per Second, More Is Better KeyDB 6.3.2 Test: LPUSH - Parallel Connections: 100 a b c 200K 400K 600K 800K 1000K SE +/- 10077.27, N = 15 976117.59 1010733.94 967773.12 1. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD
nginx Connections: 20 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 20 a b c 14K 28K 42K 56K 70K SE +/- 804.71, N = 3 62961.45 64372.01 64314.45 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 100 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 100 a b c 15K 30K 45K 60K 75K SE +/- 335.89, N = 3 67993.52 68835.78 68707.49 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 200 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 200 a b c 13K 26K 39K 52K 65K SE +/- 149.19, N = 3 61096.58 61654.77 61396.93 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 500 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 a b c 11K 22K 33K 44K 55K SE +/- 61.89, N = 3 51922.48 51890.45 51737.26 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 a b c 9K 18K 27K 36K 45K SE +/- 203.43, N = 3 41663.17 42015.72 42016.88 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
PostgreSQL Scaling Factor: 1 - Clients: 100 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only a b c 140K 280K 420K 560K 700K SE +/- 4488.67, N = 3 617706 624238 638011 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 250 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Only a b c 100K 200K 300K 400K 500K SE +/- 6603.78, N = 3 462071 472171 465619 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 500 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only a b c 80K 160K 240K 320K 400K SE +/- 3941.00, N = 4 359165 376302 365485 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 800 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only a b c 70K 140K 210K 280K 350K SE +/- 1379.07, N = 3 307018 301467 313503 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 100 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write a b c 90 180 270 360 450 SE +/- 1.90, N = 3 387 384 397 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 1000 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only a b c 60K 120K 180K 240K 300K SE +/- 2823.16, N = 3 289205 284352 283973 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 250 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Write a b c 80 160 240 320 400 SE +/- 2.61, N = 3 367 356 358 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 500 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write a b c 70 140 210 280 350 SE +/- 3.20, N = 12 321 325 334 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 800 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write a b c 60 120 180 240 300 SE +/- 2.63, N = 12 277 280 268 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 1000 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write a b c 60 120 180 240 300 SE +/- 2.49, N = 3 263 250 252 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 100 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only a b c 120K 240K 360K 480K 600K SE +/- 1426.41, N = 3 541410 549838 544459 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 250 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only a b c 90K 180K 270K 360K 450K SE +/- 2783.61, N = 3 394526 407921 411468 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 500 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only a b c 70K 140K 210K 280K 350K SE +/- 2326.54, N = 3 317872 316288 317863 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only a b c 60K 120K 180K 240K 300K SE +/- 2360.08, N = 3 263950 275540 264500 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 100 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write a b c 1100 2200 3300 4400 5500 SE +/- 122.37, N = 12 4114 4230 5102 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only a b c 50K 100K 150K 200K 250K SE +/- 1961.46, N = 3 241540 240426 232445 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 250 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write a b c 1300 2600 3900 5200 6500 SE +/- 122.04, N = 12 4148 3673 6005 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 500 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write a b c 1300 2600 3900 5200 6500 SE +/- 146.05, N = 12 4472 4821 6036 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write a b c 1400 2800 4200 5600 7000 SE +/- 83.04, N = 9 4252 3679 6425 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write a b c 1000 2000 3000 4000 5000 SE +/- 59.66, N = 12 4070 3652 4518 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.34 VGR Performance Metric a b c 30K 60K 90K 120K 150K 132931 132058 132368 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU a b c 0.9222 1.8444 2.7666 3.6888 4.611 SE +/- 0.02631, N = 15 4.09853 3.93260 3.95246 MIN: 3.8 MIN: 3.81 MIN: 3.82 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU a b c 3 6 9 12 15 SE +/- 0.00, N = 3 10.37 10.56 10.43 MIN: 10.1 MIN: 10.29 MIN: 10.17 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU a b c 0.3692 0.7384 1.1076 1.4768 1.846 SE +/- 0.105801, N = 15 1.251871 1.640760 0.959942 MIN: 0.91 MIN: 1.59 MIN: 0.91 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU a b c 0.5635 1.127 1.6905 2.254 2.8175 SE +/- 0.02403, N = 15 2.50462 2.45278 2.43532 MIN: 2.34 MIN: 2.41 MIN: 2.39 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU a b c 4 8 12 16 20 SE +/- 0.00, N = 3 16.59 16.61 16.59 MIN: 16.45 MIN: 16.47 MIN: 16.43 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU a b c 2 4 6 8 10 SE +/- 0.17183, N = 15 8.69748 8.37239 8.44040 MIN: 5.76 MIN: 5.85 MIN: 5.8 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU a b c 3 6 9 12 15 SE +/- 0.66035, N = 15 8.93885 8.13373 9.33670 MIN: 7.53 MIN: 8.1 MIN: 9.28 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU a b c 5 10 15 20 25 SE +/- 0.03, N = 3 18.28 18.41 18.23 MIN: 17.89 MIN: 18.02 MIN: 17.93 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU a b c 0.3435 0.687 1.0305 1.374 1.7175 SE +/- 0.01138, N = 15 1.52665 1.41538 1.40930 MIN: 1.39 MIN: 1.39 MIN: 1.39 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU a b c 0.4526 0.9052 1.3578 1.8104 2.263 SE +/- 0.01841, N = 15 2.00020 2.01154 2.01050 MIN: 1.92 MIN: 2 MIN: 2 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU a b c 900 1800 2700 3600 4500 SE +/- 15.35, N = 3 4329.65 4234.91 4253.17 MIN: 4088.59 MIN: 4027.35 MIN: 4043.25 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU a b c 500 1000 1500 2000 2500 SE +/- 3.98, N = 3 2438.21 2398.62 2410.16 MIN: 2279.8 MIN: 2251.99 MIN: 2254.61 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU a b c 900 1800 2700 3600 4500 SE +/- 2.56, N = 3 4341.92 4289.21 4303.62 MIN: 4124.68 MIN: 4045.19 MIN: 4079.69 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU a b c 500 1000 1500 2000 2500 SE +/- 22.77, N = 3 2406.13 2394.33 2388.51 MIN: 2255.86 MIN: 2261.91 MIN: 2252.37 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU a b c 0.8116 1.6232 2.4348 3.2464 4.058 SE +/- 0.00059, N = 3 3.59719 3.59364 3.60705 MIN: 3.53 MIN: 3.53 MIN: 3.54 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU a b c 900 1800 2700 3600 4500 SE +/- 5.86, N = 3 4334.97 4270.75 4291.98 MIN: 4122.67 MIN: 4043.43 MIN: 4067.51 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU a b c 900 1800 2700 3600 4500 SE +/- 4.94, N = 3 2437.96 2403.19 4000.34 MIN: 2279.1 MIN: 2251.07 MIN: 3992.83 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU a b c 0.2705 0.541 0.8115 1.082 1.3525 SE +/- 0.00770, N = 3 1.20219 1.19925 1.18228 MIN: 1.13 MIN: 1.13 MIN: 1.12 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
PostgreSQL Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency a b c 0.0365 0.073 0.1095 0.146 0.1825 SE +/- 0.001, N = 3 0.162 0.160 0.157 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency a b c 0.1217 0.2434 0.3651 0.4868 0.6085 SE +/- 0.008, N = 3 0.541 0.529 0.537 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency a b c 0.3134 0.6268 0.9402 1.2536 1.567 SE +/- 0.016, N = 4 1.393 1.329 1.368 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency a b c 0.5972 1.1944 1.7916 2.3888 2.986 SE +/- 0.012, N = 3 2.606 2.654 2.552 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency a b c 60 120 180 240 300 SE +/- 1.27, N = 3 258.43 260.58 252.00 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency a b c 0.7922 1.5844 2.3766 3.1688 3.961 SE +/- 0.034, N = 3 3.458 3.517 3.521 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency a b c 150 300 450 600 750 SE +/- 4.83, N = 3 681.42 702.48 697.89 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency a b c 300 600 900 1200 1500 SE +/- 15.49, N = 12 1561.27 1536.86 1495.63 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency a b c 600 1200 1800 2400 3000 SE +/- 26.55, N = 12 2891.94 2861.27 2990.05 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency a b c 900 1800 2700 3600 4500 SE +/- 35.63, N = 3 3797.31 4001.54 3967.37 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency a b c 0.0416 0.0832 0.1248 0.1664 0.208 SE +/- 0.001, N = 3 0.185 0.182 0.184 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency a b c 0.1427 0.2854 0.4281 0.5708 0.7135 SE +/- 0.005, N = 3 0.634 0.613 0.608 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency a b c 0.3557 0.7114 1.0671 1.4228 1.7785 SE +/- 0.012, N = 3 1.573 1.581 1.573 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency a b c 0.682 1.364 2.046 2.728 3.41 SE +/- 0.027, N = 3 3.031 2.903 3.025 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency a b c 6 12 18 24 30 SE +/- 0.75, N = 12 24.55 23.64 19.60 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency a b c 0.968 1.936 2.904 3.872 4.84 SE +/- 0.034, N = 3 4.141 4.159 4.302 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency a b c 15 30 45 60 75 SE +/- 1.63, N = 12 60.80 68.07 41.63 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency a b c 30 60 90 120 150 SE +/- 3.53, N = 12 113.08 103.71 82.83 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency a b c 50 100 150 200 250 SE +/- 3.52, N = 9 188.71 217.46 124.51 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency a b c 60 120 180 240 300 SE +/- 3.72, N = 12 246.31 273.84 221.36 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU a b c 500 1000 1500 2000 2500 SE +/- 12.95, N = 3 2257.17 2239.72 2256.40 MIN: 2132.88 / MAX: 3216.45 MIN: 2149.54 / MAX: 2500.68 MIN: 2134.57 / MAX: 2467.9 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU a b c 700 1400 2100 2800 3500 SE +/- 16.56, N = 3 3384.14 3363.57 3402.11 MIN: 3150.48 / MAX: 4797.77 MIN: 3197.76 / MAX: 3701.88 MIN: 3157.9 / MAX: 5910.28 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU a b c 700 1400 2100 2800 3500 SE +/- 29.12, N = 3 3438.18 3394.57 3413.87 MIN: 3203.29 / MAX: 4311.69 MIN: 3178.76 / MAX: 3780.74 MIN: 3197.21 / MAX: 4433.43 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU a b c 7 14 21 28 35 SE +/- 0.37, N = 14 27.97 31.54 26.79 MIN: 19.8 / MAX: 50.33 MIN: 19.58 / MAX: 49.19 MIN: 21.9 / MAX: 44.22 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU a b c 120 240 360 480 600 SE +/- 2.23, N = 3 552.79 541.21 549.42 MIN: 501.54 / MAX: 634.83 MIN: 503.72 / MAX: 633.37 MIN: 502.92 / MAX: 645.96 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 3 6 9 12 15 SE +/- 0.05, N = 3 11.47 11.49 11.54 MIN: 10.23 / MAX: 55.04 MIN: 10.24 / MAX: 17.75 MIN: 10.23 / MAX: 58.55 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU a b c 7 14 21 28 35 SE +/- 0.15, N = 3 31.87 31.53 31.68 MIN: 28.47 / MAX: 39.41 MIN: 28.51 / MAX: 38.58 MIN: 28.34 / MAX: 39.14 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU a b c 40 80 120 160 200 SE +/- 0.73, N = 3 184.37 182.53 185.48 MIN: 164.97 / MAX: 226.63 MIN: 165.34 / MAX: 243.94 MIN: 166.33 / MAX: 257.37 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 2 4 6 8 10 SE +/- 0.04, N = 3 8.41 8.32 8.35 MIN: 7.49 / MAX: 16.85 MIN: 7.49 / MAX: 14.34 MIN: 7.49 / MAX: 38.94 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 4 8 12 16 20 SE +/- 0.07, N = 3 14.44 14.31 14.37 MIN: 12.82 / MAX: 32.76 MIN: 12.84 / MAX: 26.05 MIN: 12.83 / MAX: 26.08 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 0.2385 0.477 0.7155 0.954 1.1925 SE +/- 0.01, N = 3 1.06 1.04 1.04 MIN: 0.92 / MAX: 68.14 MIN: 0.92 / MAX: 7.17 MIN: 0.92 / MAX: 4.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 0.2138 0.4276 0.6414 0.8552 1.069 SE +/- 0.00, N = 3 0.95 0.94 0.94 MIN: 0.85 / MAX: 7.32 MIN: 0.85 / MAX: 6.61 MIN: 0.84 / MAX: 7.1 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b c 110 220 330 440 550 SE +/- 1.89, N = 3 530.84 522.76 519.66
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream a b c 40 80 120 160 200 SE +/- 0.52, N = 3 182.98 185.09 185.10
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream a b c 11 22 33 44 55 SE +/- 0.04, N = 3 42.34 50.84 41.87
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream a b c 5 10 15 20 25 SE +/- 0.08, N = 3 20.33 20.39 20.26
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream a b c 30 60 90 120 150 SE +/- 1.91, N = 3 136.27 146.72 135.43
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream a b c 13 26 39 52 65 SE +/- 0.15, N = 3 49.64 58.91 48.52
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b c 20 40 60 80 100 SE +/- 0.97, N = 3 91.19 88.78 90.16
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream a b c 8 16 24 32 40 SE +/- 0.33, N = 12 32.73 32.29 32.28
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b c 9 18 27 36 45 SE +/- 0.13, N = 3 40.47 38.43 39.01
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream a b c 4 8 12 16 20 SE +/- 0.17, N = 3 15.57 15.37 15.38
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b c 15 30 45 60 75 SE +/- 0.58, N = 12 65.12 64.23 63.14
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream a b c 6 12 18 24 30 SE +/- 0.23, N = 3 26.09 26.57 25.25
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b c 80 160 240 320 400 SE +/- 0.80, N = 3 371.27 371.97 373.24
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream a b c 30 60 90 120 150 SE +/- 0.41, N = 3 125.27 123.97 123.95
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream a b c 30 60 90 120 150 SE +/- 1.18, N = 12 129.74 126.34 125.31
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream a b c 12 24 36 48 60 SE +/- 0.32, N = 3 51.15 52.80 50.82
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b c 110 220 330 440 550 SE +/- 1.42, N = 3 530.18 526.96 520.95
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream a b c 40 80 120 160 200 SE +/- 0.43, N = 3 184.65 183.89 183.69
OpenRadioss Model: Bumper Beam OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Bumper Beam a b c 40 80 120 160 200 SE +/- 0.32, N = 3 187.49 187.53 188.06
OpenRadioss Model: Cell Phone Drop Test OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Cell Phone Drop Test a b c 30 60 90 120 150 SE +/- 0.15, N = 3 141.00 141.91 141.10
OpenRadioss Model: Bird Strike on Windshield OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Bird Strike on Windshield a b c 80 160 240 320 400 SE +/- 1.35, N = 3 378.02 375.59 376.26
OpenRadioss Model: Rubber O-Ring Seal Installation OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation a b c 50 100 150 200 250 SE +/- 1.23, N = 3 236.87 233.55 235.09
OpenRadioss Model: INIVOL and Fluid Structure Interaction Drop Container OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container a b c 200 400 600 800 1000 SE +/- 5.89, N = 3 862.76 855.12 854.21
libavif avifenc Encoder Speed: 0 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 0 a b c 40 80 120 160 200 SE +/- 0.94, N = 3 195.07 193.63 195.07 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 2 a b c 20 40 60 80 100 SE +/- 0.11, N = 3 88.25 87.04 86.43 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 6 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6 a b c 3 6 9 12 15 SE +/- 0.071, N = 3 9.175 9.277 9.268 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 6, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 6, Lossless a b c 4 8 12 16 20 SE +/- 0.14, N = 3 13.46 13.72 13.73 1. (CXX) g++ options: -O3 -fPIC -lm
libavif avifenc Encoder Speed: 10, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.11 Encoder Speed: 10, Lossless a b c 2 4 6 8 10 SE +/- 0.185, N = 15 6.571 6.438 6.439 1. (CXX) g++ options: -O3 -fPIC -lm
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.0 Time To Compile a b c 14 28 42 56 70 SE +/- 0.68, N = 3 61.47 59.35 59.45
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig a b c 30 60 90 120 150 SE +/- 1.00, N = 8 117.65 117.84 118.80
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig a b c 300 600 900 1200 1500 SE +/- 2.13, N = 3 1605.97 1581.70 1591.76
FLAC Audio Encoding WAV To FLAC OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.4 WAV To FLAC a b c 5 10 15 20 25 SE +/- 0.15, N = 25 17.32 19.30 19.61 1. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
FFmpeg Encoder: libx264 - Scenario: Live OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Live a b c 5 10 15 20 25 SE +/- 0.01, N = 3 21.05 20.87 21.42 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live a b c 10 20 30 40 50 SE +/- 0.15, N = 3 42.02 42.21 42.67 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Upload OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Upload a b c 40 80 120 160 200 SE +/- 0.26, N = 3 187.09 188.02 187.76 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload a b c 30 60 90 120 150 SE +/- 0.17, N = 3 119.13 119.63 118.90 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Platform OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Platform a b c 30 60 90 120 150 SE +/- 0.75, N = 3 145.95 146.92 145.67 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform a b c 40 80 120 160 200 SE +/- 0.12, N = 3 170.61 170.76 170.11 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx264 - Scenario: Video On Demand OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand a b c 30 60 90 120 150 SE +/- 2.11, N = 3 155.27 145.95 146.45 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand a b c 40 80 120 160 200 SE +/- 0.16, N = 3 175.13 170.95 170.03 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: CPU-Only a b c 40 80 120 160 200 SE +/- 1.22, N = 3 172.01 169.97 169.98
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Classroom - Compute: CPU-Only a b c 110 220 330 440 550 SE +/- 0.90, N = 3 493.25 491.93 492.05
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only a b c 50 100 150 200 250 SE +/- 0.25, N = 3 242.51 242.40 242.75
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only a b c 400 800 1200 1600 2000 SE +/- 2.57, N = 3 1913.71 1918.11 1921.09
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only a b c 130 260 390 520 650 SE +/- 0.41, N = 3 602.17 601.73 604.27
EnCodec Target Bandwidth: 3 kbps OpenBenchmarking.org Seconds, Fewer Is Better EnCodec 0.1.1 Target Bandwidth: 3 kbps a b c 9 18 27 36 45 SE +/- 0.60, N = 15 38.66 38.38 40.90
EnCodec Target Bandwidth: 6 kbps OpenBenchmarking.org Seconds, Fewer Is Better EnCodec 0.1.1 Target Bandwidth: 6 kbps a b c 9 18 27 36 45 SE +/- 0.47, N = 3 38.52 41.18 40.12
EnCodec Target Bandwidth: 24 kbps OpenBenchmarking.org Seconds, Fewer Is Better EnCodec 0.1.1 Target Bandwidth: 24 kbps a b c 10 20 30 40 50 SE +/- 0.52, N = 15 44.56 43.53 45.31
EnCodec Target Bandwidth: 1.5 kbps OpenBenchmarking.org Seconds, Fewer Is Better EnCodec 0.1.1 Target Bandwidth: 1.5 kbps a b c 9 18 27 36 45 SE +/- 0.20, N = 3 36.92 41.03 38.71
Scikit-Learn Benchmark: MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: MNIST Dataset a b c 20 40 60 80 100 SE +/- 0.23, N = 3 90.15 90.82 90.84
Scikit-Learn Benchmark: TSNE MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: TSNE MNIST Dataset a b c 6 12 18 24 30 SE +/- 0.22, N = 3 26.91 26.71 26.86
Scikit-Learn Benchmark: Sparse Random Projections, 100 Iterations OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: Sparse Random Projections, 100 Iterations a b c 30 60 90 120 150 SE +/- 0.14, N = 3 142.73 142.60 142.50
Phoronix Test Suite v10.8.5