new xeon Tests for a future article. Intel Xeon Gold 6421N testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2307315-NE-NEWXEON9432&rdt&gru .
new xeon Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution a b Intel Xeon Gold 6421N @ 3.60GHz (32 Cores / 64 Threads) Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) Intel Device 1bce 512GB 3 x 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VGA HDMI 4 x Intel E810-C for QSFP Ubuntu 22.04 5.15.0-47-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 1.2.204 GCC 11.2.0 ext4 1600x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --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 Processor Details - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0000c0 Java Details - OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04) 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
new xeon apache-iotdb: 100 - 1 - 200 apache-iotdb: 100 - 1 - 500 apache-iotdb: 200 - 1 - 200 apache-iotdb: 200 - 1 - 500 apache-iotdb: 500 - 1 - 200 apache-iotdb: 500 - 1 - 500 apache-iotdb: 100 - 100 - 200 apache-iotdb: 100 - 100 - 500 apache-iotdb: 200 - 100 - 200 apache-iotdb: 200 - 100 - 500 apache-iotdb: 500 - 100 - 200 apache-iotdb: 500 - 100 - 500 stress-ng: Hash stress-ng: MMAP stress-ng: NUMA stress-ng: Pipe stress-ng: Poll stress-ng: Zlib stress-ng: Futex stress-ng: MEMFD stress-ng: Mutex stress-ng: Atomic stress-ng: Crypto stress-ng: Malloc stress-ng: Cloning stress-ng: Forking stress-ng: Pthread stress-ng: AVL Tree stress-ng: IO_uring stress-ng: SENDFILE stress-ng: CPU Cache stress-ng: CPU Stress stress-ng: Semaphores stress-ng: Matrix Math stress-ng: Vector Math stress-ng: Function Call stress-ng: x86_64 RdRand stress-ng: Floating Point stress-ng: Matrix 3D Math stress-ng: Memory Copying stress-ng: Vector Shuffle stress-ng: Socket Activity stress-ng: Wide Vector Math stress-ng: Context Switching stress-ng: Fused Multiply-Add stress-ng: Vector Floating Point stress-ng: Glibc C String Functions stress-ng: Glibc Qsort Data Sorting stress-ng: System V Message Passing vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster hpcg: 104 104 104 - 60 hpcg: 144 144 144 - 60 hpcg: 160 160 160 - 60 heffte: c2c - FFTW - float - 128 heffte: c2c - FFTW - float - 256 heffte: c2c - FFTW - float - 512 heffte: r2c - FFTW - float - 128 heffte: r2c - FFTW - float - 256 heffte: r2c - FFTW - float - 512 heffte: c2c - FFTW - double - 128 heffte: c2c - FFTW - double - 256 heffte: c2c - FFTW - double - 512 heffte: c2c - Stock - float - 128 heffte: c2c - Stock - float - 256 heffte: c2c - Stock - float - 512 heffte: r2c - FFTW - double - 128 heffte: r2c - FFTW - double - 256 heffte: r2c - FFTW - double - 512 heffte: r2c - Stock - float - 128 heffte: r2c - Stock - float - 256 heffte: r2c - Stock - float - 512 heffte: c2c - Stock - double - 128 heffte: c2c - Stock - double - 256 heffte: c2c - Stock - double - 512 heffte: r2c - Stock - double - 128 heffte: r2c - Stock - double - 256 heffte: r2c - Stock - double - 512 libxsmm: 128 libxsmm: 256 libxsmm: 32 libxsmm: 64 deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream laghos: Triple Point Problem laghos: Sedov Blast Wave, ube_922_hex.mesh srsran: Downlink Processor Benchmark srsran: PUSCH Processor Benchmark, Throughput Total srsran: PUSCH Processor Benchmark, Throughput Thread palabos: 100 palabos: 400 palabos: 500 cassandra: Writes memtier-benchmark: Redis - 50 - 1:5 memtier-benchmark: Redis - 100 - 1:5 memtier-benchmark: Redis - 50 - 1:10 memtier-benchmark: Redis - 100 - 1:10 apache-iotdb: 100 - 1 - 200 apache-iotdb: 100 - 1 - 500 apache-iotdb: 200 - 1 - 200 apache-iotdb: 200 - 1 - 500 apache-iotdb: 500 - 1 - 200 apache-iotdb: 500 - 1 - 500 apache-iotdb: 100 - 100 - 200 apache-iotdb: 100 - 100 - 500 apache-iotdb: 200 - 100 - 200 apache-iotdb: 200 - 100 - 500 apache-iotdb: 500 - 100 - 200 apache-iotdb: 500 - 100 - 500 liquid-dsp: 16 - 256 - 32 liquid-dsp: 16 - 256 - 57 liquid-dsp: 32 - 256 - 32 liquid-dsp: 32 - 256 - 57 liquid-dsp: 64 - 256 - 32 liquid-dsp: 64 - 256 - 57 liquid-dsp: 16 - 256 - 512 liquid-dsp: 32 - 256 - 512 liquid-dsp: 64 - 256 - 512 brl-cad: VGR Performance Metric deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Execution Time build-gdb: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles build-php: Time To Compile blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only a b 14.58 28.27 11.86 26.29 9.49 22.97 31.83 69.08 29.54 101.25 31.58 68.34 5577252.32 861.28 390.87 35837711.85 3669281.69 2647.81 1541676.36 549.94 15147444.51 133.83 50240.09 99373474.31 9740.57 89918.21 136846.01 294.26 1529665.98 582724.63 1537111.20 64111.11 62126446.21 160653.44 151386.31 22028.03 331416.52 10587.48 9599.93 7176.19 167204.21 24947.14 1745029.27 2572801.75 34197705.63 58243.38 26067360.60 696.65 5852281.71 5.842 11.020 16.100 30.946 27.7808 27.4213 27.5086 131.656 76.0299 78.8291 207.244 149.825 141.41 64.4263 38.9304 43.9665 85.7398 75.0892 72.5609 121.794 72.2893 74.4734 149.935 157.867 137.536 46.6357 38.9613 40.7438 92.3973 76.9042 76.6110 1211.8 879.6 440.0 833.8 34.5311 1074.8218 390.9076 121.6893 479.7876 3227.0954 208.8975 35.1529 478.9108 208.8471 295.8295 46.3307 504.6114 137.3780 33.9358 177.78 216.86 705.8 5372.9 240.4 235.186 287.268 300.276 155626 2211638.65 2285996.17 2316281.26 2447092.01 710382.44 1191500.88 1045806.81 1505080.34 1576432.25 1916642.9 43074031.84 59041436.64 54224351.1 45677447.24 56894390.61 67607191.64 557945000 848435000 847085000 1328100000 1577300000 1728850000 243940000 383555000 513135000 466686 460.7818 14.8600 40.9109 131.4497 33.3278 4.9416 76.5597 453.4802 33.3894 76.5807 54.0674 345.1491 31.6750 116.3761 468.8046 27.965214 67.707331 144.69646 615.99074 41.905 40.438 445.385 263.154 323.856 42.351 47.15 127.78 64.07 493.45 159.94 14.98 28.45 12.18 26.64 9.87 21.63 43.86 73.56 31.63 98.87 31.69 68.01 5583978.14 856.14 392.08 36852791.12 3671617.97 2648.81 1492979.46 549.55 15192892.59 132.61 50243.48 99251227.28 9326.09 89966.29 136709.81 294.66 1503623.79 598173.56 1885833.11 64118.87 61651485.43 156668.43 151431.15 22106.49 331423.04 10601.10 9605.30 7180.43 167202.07 25282.31 1750003.43 2571092.69 34050669.23 58232.70 26125214.84 696.92 5854201.78 5.917 10.992 16.249 30.927 27.8405 27.3890 27.3978 130.982 75.3001 78.9605 206.217 154.053 141.193 62.2974 38.5182 44.0064 85.4850 74.9286 72.5391 122.460 72.1981 74.7148 151.803 164.047 137.740 49.5230 38.6757 40.6648 90.9851 77.0345 76.6041 1225.0 758.9 444.6 839.9 34.5539 1075.9571 391.9125 122.0367 480.5223 3233.9588 208.9908 37.3253 479.2241 211.2270 299.9277 46.5491 505.1309 143.4387 34.5447 176.92 217.19 710.9 5543.7 236.3 234.874 285.761 300.855 2217192.12 2227152.02 2293467.62 2304730.19 697217.55 1185338.02 1042859.03 1469808.89 1521587.4 2009050.46 34191814.86 56018457.87 51199962.11 46726912.46 56137174.7 65935725.67 558655000 862195000 847675000 1323900000 1576850000 1733700000 248820000 378650000 513040000 460.7588 14.8473 40.8061 131.0664 33.2781 4.9312 76.4684 428.6695 33.3680 75.7218 53.3291 343.5170 31.6488 111.4976 460.6707 27.948717 67.563163 144.93674 615.46018 42.006 40.451 445.380 262.884 319.852 42.382 47.22 127.76 64.01 493.61 OpenBenchmarking.org
Apache IoTDB Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 a b 4 8 12 16 20 14.58 14.98 MAX: 679.89 MAX: 612.21
Apache IoTDB Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 a b 7 14 21 28 35 28.27 28.45 MAX: 671.77 MAX: 664.29
Apache IoTDB Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 a b 3 6 9 12 15 11.86 12.18 MAX: 573.1 MAX: 586.62
Apache IoTDB Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 a b 6 12 18 24 30 26.29 26.64 MAX: 620.79 MAX: 636.93
Apache IoTDB Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 a b 3 6 9 12 15 9.49 9.87 MAX: 845.95 MAX: 820.85
Apache IoTDB Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 a b 6 12 18 24 30 22.97 21.63 MAX: 864.74 MAX: 867.44
Apache IoTDB Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 a b 10 20 30 40 50 31.83 43.86 MAX: 790.74 MAX: 2550.76
Apache IoTDB Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 a b 16 32 48 64 80 69.08 73.56 MAX: 1049.85 MAX: 1309.93
Apache IoTDB Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 a b 7 14 21 28 35 29.54 31.63 MAX: 746.57 MAX: 718.08
Apache IoTDB Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 a b 20 40 60 80 100 101.25 98.87 MAX: 3631.89 MAX: 3564.64
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 a b 7 14 21 28 35 31.58 31.69 MAX: 1920.32 MAX: 1610.79
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 OpenBenchmarking.org Average Latency, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 a b 15 30 45 60 75 68.34 68.01 MAX: 2006.68 MAX: 1606.75
Stress-NG Test: Hash OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Hash a b 1.2M 2.4M 3.6M 4.8M 6M SE +/- 3166.95, N = 2 SE +/- 2865.25, N = 2 5577252.32 5583978.14 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: MMAP OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: MMAP a b 200 400 600 800 1000 SE +/- 3.32, N = 2 SE +/- 2.06, N = 2 861.28 856.14 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: NUMA OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: NUMA a b 90 180 270 360 450 SE +/- 0.88, N = 2 SE +/- 0.05, N = 2 390.87 392.08 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Pipe OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Pipe a b 8M 16M 24M 32M 40M SE +/- 1105250.10, N = 2 SE +/- 79631.10, N = 2 35837711.85 36852791.12 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Poll OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Poll a b 800K 1600K 2400K 3200K 4000K SE +/- 2536.76, N = 2 SE +/- 1953.54, N = 2 3669281.69 3671617.97 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Zlib OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Zlib a b 600 1200 1800 2400 3000 SE +/- 0.06, N = 2 SE +/- 0.65, N = 2 2647.81 2648.81 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Futex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Futex a b 300K 600K 900K 1200K 1500K SE +/- 56630.43, N = 2 SE +/- 45385.58, N = 2 1541676.36 1492979.46 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: MEMFD OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: MEMFD a b 120 240 360 480 600 SE +/- 1.31, N = 2 SE +/- 1.20, N = 2 549.94 549.55 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Mutex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Mutex a b 3M 6M 9M 12M 15M SE +/- 23940.47, N = 2 SE +/- 2864.48, N = 2 15147444.51 15192892.59 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Atomic OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Atomic a b 30 60 90 120 150 SE +/- 1.05, N = 2 SE +/- 0.20, N = 2 133.83 132.61 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Crypto OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Crypto a b 11K 22K 33K 44K 55K SE +/- 3.65, N = 2 SE +/- 18.13, N = 2 50240.09 50243.48 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Malloc OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Malloc a b 20M 40M 60M 80M 100M SE +/- 129754.02, N = 2 SE +/- 83929.32, N = 2 99373474.31 99251227.28 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Cloning OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Cloning a b 2K 4K 6K 8K 10K SE +/- 114.33, N = 2 SE +/- 100.16, N = 2 9740.57 9326.09 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Forking OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Forking a b 20K 40K 60K 80K 100K SE +/- 469.20, N = 2 SE +/- 421.24, N = 2 89918.21 89966.29 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Pthread OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Pthread a b 30K 60K 90K 120K 150K SE +/- 971.78, N = 2 SE +/- 102.07, N = 2 136846.01 136709.81 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: AVL Tree OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: AVL Tree a b 60 120 180 240 300 SE +/- 0.32, N = 2 SE +/- 0.85, N = 2 294.26 294.66 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: IO_uring OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: IO_uring a b 300K 600K 900K 1200K 1500K SE +/- 22482.34, N = 2 SE +/- 5229.94, N = 2 1529665.98 1503623.79 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: SENDFILE OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: SENDFILE a b 130K 260K 390K 520K 650K SE +/- 6799.74, N = 2 SE +/- 243.97, N = 2 582724.63 598173.56 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: CPU Cache OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: CPU Cache a b 400K 800K 1200K 1600K 2000K SE +/- 31294.95, N = 2 SE +/- 234949.06, N = 2 1537111.20 1885833.11 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: CPU Stress OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: CPU Stress a b 14K 28K 42K 56K 70K SE +/- 12.73, N = 2 SE +/- 38.95, N = 2 64111.11 64118.87 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Semaphores OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Semaphores a b 13M 26M 39M 52M 65M SE +/- 2077286.42, N = 2 SE +/- 466593.23, N = 2 62126446.21 61651485.43 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Matrix Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Matrix Math a b 30K 60K 90K 120K 150K SE +/- 2867.57, N = 2 SE +/- 332.46, N = 2 160653.44 156668.43 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Vector Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Vector Math a b 30K 60K 90K 120K 150K SE +/- 47.16, N = 2 SE +/- 5.98, N = 2 151386.31 151431.15 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Function Call OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Function Call a b 5K 10K 15K 20K 25K SE +/- 80.03, N = 2 SE +/- 74.09, N = 2 22028.03 22106.49 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: x86_64 RdRand OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: x86_64 RdRand a b 70K 140K 210K 280K 350K SE +/- 2.35, N = 2 SE +/- 1.14, N = 2 331416.52 331423.04 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Floating Point OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Floating Point a b 2K 4K 6K 8K 10K SE +/- 1.07, N = 2 SE +/- 17.77, N = 2 10587.48 10601.10 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Matrix 3D Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Matrix 3D Math a b 2K 4K 6K 8K 10K SE +/- 34.45, N = 2 SE +/- 4.08, N = 2 9599.93 9605.30 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Memory Copying OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Memory Copying a b 1500 3000 4500 6000 7500 SE +/- 8.71, N = 2 SE +/- 11.04, N = 2 7176.19 7180.43 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Vector Shuffle OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Vector Shuffle a b 40K 80K 120K 160K 200K SE +/- 6.63, N = 2 SE +/- 6.04, N = 2 167204.21 167202.07 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Socket Activity OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Socket Activity a b 5K 10K 15K 20K 25K SE +/- 72.57, N = 2 SE +/- 267.39, N = 2 24947.14 25282.31 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Wide Vector Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Wide Vector Math a b 400K 800K 1200K 1600K 2000K SE +/- 918.08, N = 2 SE +/- 4139.63, N = 2 1745029.27 1750003.43 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Context Switching OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Context Switching a b 600K 1200K 1800K 2400K 3000K SE +/- 678.57, N = 2 SE +/- 604.17, N = 2 2572801.75 2571092.69 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Fused Multiply-Add OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Fused Multiply-Add a b 7M 14M 21M 28M 35M SE +/- 137631.48, N = 2 SE +/- 285.63, N = 2 34197705.63 34050669.23 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Vector Floating Point OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Vector Floating Point a b 12K 24K 36K 48K 60K SE +/- 30.71, N = 2 SE +/- 4.11, N = 2 58243.38 58232.70 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Glibc C String Functions OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Glibc C String Functions a b 6M 12M 18M 24M 30M SE +/- 150617.25, N = 2 SE +/- 69329.81, N = 2 26067360.60 26125214.84 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: Glibc Qsort Data Sorting OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: Glibc Qsort Data Sorting a b 150 300 450 600 750 SE +/- 0.40, N = 2 SE +/- 0.46, N = 2 696.65 696.92 1. (CXX) g++ options: -O2 -std=gnu99 -lc
Stress-NG Test: System V Message Passing OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.15.10 Test: System V Message Passing a b 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 7174.98, N = 2 SE +/- 9802.94, N = 2 5852281.71 5854201.78 1. (CXX) g++ options: -O2 -std=gnu99 -lc
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast a b 1.3313 2.6626 3.9939 5.3252 6.6565 SE +/- 0.074, N = 2 SE +/- 0.015, N = 2 5.842 5.917 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 1.9 Video Input: Bosphorus 4K - Video Preset: Faster a b 3 6 9 12 15 SE +/- 0.00, N = 2 SE +/- 0.03, N = 2 11.02 10.99 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 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast a b 4 8 12 16 20 SE +/- 0.17, N = 2 SE +/- 0.02, N = 2 16.10 16.25 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 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster a b 7 14 21 28 35 SE +/- 0.06, N = 2 SE +/- 0.04, N = 2 30.95 30.93 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
High Performance Conjugate Gradient X Y Z: 104 104 104 - RT: 60 OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 a b 7 14 21 28 35 SE +/- 0.03, N = 2 SE +/- 0.01, N = 2 27.78 27.84 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
High Performance Conjugate Gradient X Y Z: 144 144 144 - RT: 60 OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 X Y Z: 144 144 144 - RT: 60 a b 6 12 18 24 30 SE +/- 0.01, N = 2 SE +/- 0.06, N = 2 27.42 27.39 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
High Performance Conjugate Gradient X Y Z: 160 160 160 - RT: 60 OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 X Y Z: 160 160 160 - RT: 60 a b 6 12 18 24 30 SE +/- 0.03, N = 2 SE +/- 0.07, N = 2 27.51 27.40 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 a b 30 60 90 120 150 SE +/- 0.77, N = 2 SE +/- 0.61, N = 2 131.66 130.98 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 a b 20 40 60 80 100 SE +/- 0.70, N = 2 SE +/- 0.08, N = 2 76.03 75.30 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 a b 20 40 60 80 100 SE +/- 0.36, N = 2 SE +/- 0.06, N = 2 78.83 78.96 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 a b 50 100 150 200 250 SE +/- 0.61, N = 2 SE +/- 0.19, N = 2 207.24 206.22 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 a b 30 60 90 120 150 SE +/- 3.76, N = 2 SE +/- 1.59, N = 2 149.83 154.05 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 a b 30 60 90 120 150 SE +/- 0.63, N = 2 SE +/- 0.20, N = 2 141.41 141.19 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 a b 14 28 42 56 70 SE +/- 2.73, N = 2 SE +/- 2.41, N = 2 64.43 62.30 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 a b 9 18 27 36 45 SE +/- 0.25, N = 2 SE +/- 0.16, N = 2 38.93 38.52 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 a b 10 20 30 40 50 SE +/- 0.04, N = 2 SE +/- 0.02, N = 2 43.97 44.01 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 a b 20 40 60 80 100 SE +/- 1.30, N = 2 SE +/- 0.88, N = 2 85.74 85.49 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 a b 20 40 60 80 100 SE +/- 0.48, N = 2 SE +/- 0.10, N = 2 75.09 74.93 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 a b 16 32 48 64 80 SE +/- 0.21, N = 2 SE +/- 0.00, N = 2 72.56 72.54 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 a b 30 60 90 120 150 SE +/- 0.56, N = 2 SE +/- 1.22, N = 2 121.79 122.46 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 a b 16 32 48 64 80 SE +/- 0.44, N = 2 SE +/- 0.12, N = 2 72.29 72.20 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 a b 20 40 60 80 100 SE +/- 0.48, N = 2 SE +/- 0.16, N = 2 74.47 74.71 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 a b 30 60 90 120 150 SE +/- 1.93, N = 2 SE +/- 1.24, N = 2 149.94 151.80 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 a b 40 80 120 160 200 SE +/- 6.51, N = 2 SE +/- 3.21, N = 2 157.87 164.05 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 a b 30 60 90 120 150 SE +/- 0.00, N = 2 SE +/- 0.33, N = 2 137.54 137.74 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 a b 11 22 33 44 55 SE +/- 0.26, N = 2 SE +/- 3.39, N = 2 46.64 49.52 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 a b 9 18 27 36 45 SE +/- 0.07, N = 2 SE +/- 0.07, N = 2 38.96 38.68 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 a b 9 18 27 36 45 SE +/- 0.05, N = 2 SE +/- 0.00, N = 2 40.74 40.66 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 a b 20 40 60 80 100 SE +/- 0.90, N = 2 SE +/- 0.09, N = 2 92.40 90.99 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 a b 20 40 60 80 100 SE +/- 0.40, N = 2 SE +/- 0.65, N = 2 76.90 77.03 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 a b 20 40 60 80 100 SE +/- 0.01, N = 2 SE +/- 0.11, N = 2 76.61 76.60 1. (CXX) g++ options: -O3
libxsmm M N K: 128 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 128 a b 300 600 900 1200 1500 SE +/- 4.60, N = 2 SE +/- 1.10, N = 2 1211.8 1225.0 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
libxsmm M N K: 256 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 256 a b 200 400 600 800 1000 SE +/- 0.65, N = 2 SE +/- 5.75, N = 2 879.6 758.9 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
libxsmm M N K: 32 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 a b 100 200 300 400 500 SE +/- 0.25, N = 2 SE +/- 0.15, N = 2 440.0 444.6 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
libxsmm M N K: 64 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 a b 200 400 600 800 1000 SE +/- 1.05, N = 2 SE +/- 0.20, N = 2 833.8 839.9 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
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 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b 8 16 24 32 40 SE +/- 0.06, N = 2 SE +/- 0.12, N = 2 34.53 34.55
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 200 400 600 800 1000 SE +/- 0.57, N = 2 SE +/- 1.01, N = 2 1074.82 1075.96
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 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream a b 90 180 270 360 450 SE +/- 1.01, N = 2 SE +/- 0.12, N = 2 390.91 391.91
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 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream a b 30 60 90 120 150 SE +/- 0.05, N = 2 SE +/- 0.22, N = 2 121.69 122.04
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream a b 100 200 300 400 500 SE +/- 0.12, N = 2 SE +/- 0.54, N = 2 479.79 480.52
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 700 1400 2100 2800 3500 SE +/- 8.40, N = 2 SE +/- 3.51, N = 2 3227.10 3233.96
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b 50 100 150 200 250 SE +/- 0.10, N = 2 SE +/- 0.05, N = 2 208.90 208.99
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream a b 9 18 27 36 45 SE +/- 0.01, N = 2 SE +/- 0.38, N = 2 35.15 37.33
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b 100 200 300 400 500 SE +/- 0.05, N = 2 SE +/- 0.02, N = 2 478.91 479.22
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 50 100 150 200 250 SE +/- 0.34, N = 2 SE +/- 0.12, N = 2 208.85 211.23
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b 70 140 210 280 350 SE +/- 0.05, N = 2 SE +/- 0.51, N = 2 295.83 299.93
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b 11 22 33 44 55 SE +/- 0.02, N = 2 SE +/- 0.20, N = 2 46.33 46.55
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 110 220 330 440 550 SE +/- 0.18, N = 2 SE +/- 0.12, N = 2 504.61 505.13
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 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream a b 30 60 90 120 150 SE +/- 4.10, N = 2 SE +/- 0.80, N = 2 137.38 143.44
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 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b 8 16 24 32 40 SE +/- 0.07, N = 2 SE +/- 0.03, N = 2 33.94 34.54
Laghos Test: Triple Point Problem OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Triple Point Problem a b 40 80 120 160 200 SE +/- 0.13, N = 2 SE +/- 0.02, N = 2 177.78 176.92 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Laghos Test: Sedov Blast Wave, ube_922_hex.mesh OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh a b 50 100 150 200 250 SE +/- 0.24, N = 2 SE +/- 0.18, N = 2 216.86 217.19 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
srsRAN Project Test: Downlink Processor Benchmark OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.5 Test: Downlink Processor Benchmark a b 150 300 450 600 750 SE +/- 5.15, N = 2 SE +/- 1.60, N = 2 705.8 710.9 1. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Total OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total a b 1200 2400 3600 4800 6000 SE +/- 143.30, N = 2 SE +/- 95.40, N = 2 5372.9 5543.7 1. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Thread OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Thread a b 50 100 150 200 250 SE +/- 3.55, N = 2 SE +/- 0.10, N = 2 240.4 236.3 1. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest
Palabos Grid Size: 100 OpenBenchmarking.org Mega Site Updates Per Second, More Is Better Palabos 2.3 Grid Size: 100 a b 50 100 150 200 250 SE +/- 0.02, N = 2 SE +/- 0.34, N = 2 235.19 234.87 1. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
Palabos Grid Size: 400 OpenBenchmarking.org Mega Site Updates Per Second, More Is Better Palabos 2.3 Grid Size: 400 a b 60 120 180 240 300 SE +/- 0.49, N = 2 SE +/- 1.54, N = 2 287.27 285.76 1. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
Palabos Grid Size: 500 OpenBenchmarking.org Mega Site Updates Per Second, More Is Better Palabos 2.3 Grid Size: 500 a b 70 140 210 280 350 SE +/- 1.63, N = 2 SE +/- 1.17, N = 2 300.28 300.86 1. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes a 30K 60K 90K 120K 150K SE +/- 803.50, N = 2 155626
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 a b 500K 1000K 1500K 2000K 2500K SE +/- 31848.80, N = 2 SE +/- 39004.04, N = 2 2211638.65 2217192.12 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 a b 500K 1000K 1500K 2000K 2500K SE +/- 6000.63, N = 2 SE +/- 3990.38, N = 2 2285996.17 2227152.02 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 a b 500K 1000K 1500K 2000K 2500K SE +/- 13610.76, N = 2 SE +/- 4548.93, N = 2 2316281.26 2293467.62 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 a b 500K 1000K 1500K 2000K 2500K SE +/- 114392.77, N = 2 SE +/- 12975.09, N = 2 2447092.01 2304730.19 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Apache IoTDB Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 a b 150K 300K 450K 600K 750K 710382.44 697217.55
Apache IoTDB Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 a b 300K 600K 900K 1200K 1500K 1191500.88 1185338.02
Apache IoTDB Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 a b 200K 400K 600K 800K 1000K 1045806.81 1042859.03
Apache IoTDB Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 a b 300K 600K 900K 1200K 1500K 1505080.34 1469808.89
Apache IoTDB Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 a b 300K 600K 900K 1200K 1500K 1576432.25 1521587.40
Apache IoTDB Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 a b 400K 800K 1200K 1600K 2000K 1916642.90 2009050.46
Apache IoTDB Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 a b 9M 18M 27M 36M 45M 43074031.84 34191814.86
Apache IoTDB Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 a b 13M 26M 39M 52M 65M 59041436.64 56018457.87
Apache IoTDB Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 a b 12M 24M 36M 48M 60M 54224351.10 51199962.11
Apache IoTDB Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 a b 10M 20M 30M 40M 50M 45677447.24 46726912.46
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 a b 12M 24M 36M 48M 60M 56894390.61 56137174.70
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 a b 14M 28M 42M 56M 70M 67607191.64 65935725.67
Liquid-DSP Threads: 16 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 32 a b 120M 240M 360M 480M 600M SE +/- 2065000.00, N = 2 SE +/- 605000.00, N = 2 557945000 558655000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 16 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 57 a b 200M 400M 600M 800M 1000M SE +/- 14365000.00, N = 2 SE +/- 695000.00, N = 2 848435000 862195000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 32 a b 200M 400M 600M 800M 1000M SE +/- 25000.00, N = 2 SE +/- 85000.00, N = 2 847085000 847675000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 57 a b 300M 600M 900M 1200M 1500M SE +/- 300000.00, N = 2 SE +/- 4400000.00, N = 2 1328100000 1323900000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 32 a b 300M 600M 900M 1200M 1500M SE +/- 300000.00, N = 2 SE +/- 450000.00, N = 2 1577300000 1576850000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 57 a b 400M 800M 1200M 1600M 2000M SE +/- 550000.00, N = 2 SE +/- 900000.00, N = 2 1728850000 1733700000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 16 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 a b 50M 100M 150M 200M 250M SE +/- 1950000.00, N = 2 SE +/- 3170000.00, N = 2 243940000 248820000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 512 a b 80M 160M 240M 320M 400M SE +/- 1955000.00, N = 2 SE +/- 4920000.00, N = 2 383555000 378650000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 512 a b 110M 220M 330M 440M 550M SE +/- 385000.00, N = 2 SE +/- 800000.00, N = 2 513135000 513040000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric a 100K 200K 300K 400K 500K SE +/- 3768.50, N = 2 466686 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
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 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b 100 200 300 400 500 SE +/- 0.42, N = 2 SE +/- 2.44, N = 2 460.78 460.76
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 4 8 12 16 20 SE +/- 0.01, N = 2 SE +/- 0.01, N = 2 14.86 14.85
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 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream a b 9 18 27 36 45 SE +/- 0.11, N = 2 SE +/- 0.01, N = 2 40.91 40.81
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 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream a b 30 60 90 120 150 SE +/- 0.05, N = 2 SE +/- 0.22, N = 2 131.45 131.07
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream a b 8 16 24 32 40 SE +/- 0.01, N = 2 SE +/- 0.04, N = 2 33.33 33.28
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 1.1119 2.2238 3.3357 4.4476 5.5595 SE +/- 0.0128, N = 2 SE +/- 0.0056, N = 2 4.9416 4.9312
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b 20 40 60 80 100 SE +/- 0.03, N = 2 SE +/- 0.04, N = 2 76.56 76.47
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream a b 100 200 300 400 500 SE +/- 0.26, N = 2 SE +/- 4.41, N = 2 453.48 428.67
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b 8 16 24 32 40 SE +/- 0.00, N = 2 SE +/- 0.00, N = 2 33.39 33.37
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 20 40 60 80 100 SE +/- 0.13, N = 2 SE +/- 0.04, N = 2 76.58 75.72
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b 12 24 36 48 60 SE +/- 0.01, N = 2 SE +/- 0.09, N = 2 54.07 53.33
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b 80 160 240 320 400 SE +/- 0.15, N = 2 SE +/- 1.63, N = 2 345.15 343.52
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b 7 14 21 28 35 SE +/- 0.01, N = 2 SE +/- 0.01, N = 2 31.68 31.65
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 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream a b 30 60 90 120 150 SE +/- 3.45, N = 2 SE +/- 0.59, N = 2 116.38 111.50
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 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b 100 200 300 400 500 SE +/- 1.46, N = 2 SE +/- 0.20, N = 2 468.80 460.67
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time a b 7 14 21 28 35 SE +/- 0.02, N = 2 SE +/- 0.05, N = 2 27.97 27.95 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Small Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time a b 15 30 45 60 75 SE +/- 0.09, N = 2 SE +/- 0.11, N = 2 67.71 67.56 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time a b 30 60 90 120 150 SE +/- 0.01, N = 2 SE +/- 0.08, N = 2 144.70 144.94 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time a b 130 260 390 520 650 SE +/- 0.42, N = 2 SE +/- 0.03, N = 2 615.99 615.46 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
Timed GDB GNU Debugger Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 10.2 Time To Compile a b 10 20 30 40 50 SE +/- 0.06, N = 2 SE +/- 0.12, N = 2 41.91 42.01
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig a b 9 18 27 36 45 SE +/- 0.72, N = 2 SE +/- 0.69, N = 2 40.44 40.45
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig a b 100 200 300 400 500 SE +/- 1.46, N = 2 SE +/- 1.13, N = 2 445.39 445.38
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja a b 60 120 180 240 300 SE +/- 0.15, N = 2 SE +/- 0.15, N = 2 263.15 262.88
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles a b 70 140 210 280 350 SE +/- 5.08, N = 2 SE +/- 5.88, N = 2 323.86 319.85
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.1.9 Time To Compile a b 10 20 30 40 50 SE +/- 0.34, N = 2 SE +/- 0.48, N = 2 42.35 42.38
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only a b 11 22 33 44 55 SE +/- 0.02, N = 2 SE +/- 0.08, N = 2 47.15 47.22
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only a b 30 60 90 120 150 SE +/- 0.05, N = 2 SE +/- 0.13, N = 2 127.78 127.76
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only a b 14 28 42 56 70 SE +/- 0.08, N = 2 SE +/- 0.20, N = 2 64.07 64.01
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only a b 110 220 330 440 550 SE +/- 0.22, N = 2 SE +/- 0.42, N = 2 493.45 493.61
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only a 40 80 120 160 200 SE +/- 0.04, N = 2 159.94
Phoronix Test Suite v10.8.5