extra tests2 Tests for a future article. AMD EPYC 9124 16-Core testing with a Supermicro H13SSW (1.1 BIOS) and astdrmfb on AlmaLinux 9.2 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310228-NE-EXTRATEST37&sor&grr .
extra tests2 Processor Motherboard Memory Disk Graphics OS Kernel Compiler File-System Screen Resolution a b c d e f g 2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads) Supermicro H13DSH (1.5 BIOS) 24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07 astdrmfb AlmaLinux 9.2 5.14.0-284.25.1.el9_2.x86_64 (x86_64) GCC 11.3.1 20221121 ext4 1024x768 AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads) Supermicro H13SSW (1.1 BIOS) 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N OpenBenchmarking.org Kernel Details - Transparent Huge Pages: always Compiler Details - --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl Processor Details - a: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e - b: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e - c: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e - d: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 - e: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 - f: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 - g: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 Java Details - OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS) Python Details - Python 3.9.16 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 + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
extra tests2 brl-cad: VGR Performance Metric openvkl: vklBenchmarkCPU Scalar tidb: oltp_read_write - 16 tidb: oltp_read_write - 32 tidb: oltp_update_non_index - 1 tidb: oltp_read_write - 64 openvkl: vklBenchmarkCPU ISPC tidb: oltp_update_non_index - 64 tidb: oltp_read_write - 1 tidb: oltp_update_index - 16 tidb: oltp_point_select - 1 tidb: oltp_point_select - 128 tidb: oltp_point_select - 32 tidb: oltp_point_select - 64 tidb: oltp_update_index - 32 tidb: oltp_update_index - 128 tidb: oltp_update_index - 1 tidb: oltp_read_write - 128 blender: Barbershop - CPU-Only tidb: oltp_update_non_index - 16 tidb: oltp_update_non_index - 32 tidb: oltp_update_index - 64 tidb: oltp_update_non_index - 128 tidb: oltp_point_select - 16 blender: Pabellon Barcelona - CPU-Only ospray: particle_volume/scivis/real_time ospray: particle_volume/pathtracer/real_time nekrs: TurboPipe Periodic blender: Classroom - CPU-Only cassandra: Writes ospray: particle_volume/ao/real_time deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 nekrs: Kershaw oidn: RTLightmap.hdr.4096x4096 - CPU-Only onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU blender: Fishy Cat - CPU-Only openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/ao/real_time openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU ospray: gravity_spheres_volume/dim_512/pathtracer/real_time specfem3d: Layered Halfspace specfem3d: Water-layered Halfspace deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream blender: BMW27 - CPU-Only hadoop: Rename - 100 - 1000000 deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream hadoop: Rename - 50 - 1000000 deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream hadoop: Delete - 100 - 1000000 deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream hadoop: Delete - 50 - 1000000 deepsparse: NLP Text Classification, BERT base uncased SST2 - 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 deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream oidn: RTLightmap.hdr.4096x4096 - CPU-Only build-linux-kernel: defconfig deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream hadoop: Open - 100 - 1000000 embree: Pathtracer - Asian Dragon Obj oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only hadoop: File Status - 100 - 1000000 hadoop: Open - 50 - 1000000 embree: Pathtracer ISPC - Asian Dragon Obj hadoop: File Status - 50 - 1000000 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream svt-av1: Preset 4 - Bosphorus 4K embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown specfem3d: Homogeneous Halfspace liquid-dsp: 96 - 256 - 512 hadoop: Create - 100 - 1000000 embree: Pathtracer - Asian Dragon Obj liquid-dsp: 64 - 256 - 512 liquid-dsp: 96 - 256 - 32 liquid-dsp: 96 - 256 - 57 embree: Pathtracer - Asian Dragon liquid-dsp: 32 - 256 - 512 liquid-dsp: 64 - 256 - 32 liquid-dsp: 64 - 256 - 57 liquid-dsp: 16 - 256 - 512 liquid-dsp: 8 - 256 - 512 liquid-dsp: 4 - 256 - 512 liquid-dsp: 32 - 256 - 57 liquid-dsp: 32 - 256 - 32 liquid-dsp: 16 - 256 - 32 liquid-dsp: 1 - 256 - 512 liquid-dsp: 2 - 256 - 512 liquid-dsp: 16 - 256 - 57 liquid-dsp: 8 - 256 - 57 liquid-dsp: 8 - 256 - 32 liquid-dsp: 4 - 256 - 57 liquid-dsp: 4 - 256 - 32 liquid-dsp: 2 - 256 - 57 liquid-dsp: 2 - 256 - 32 liquid-dsp: 1 - 256 - 57 liquid-dsp: 1 - 256 - 32 hadoop: Create - 50 - 1000000 embree: Pathtracer ISPC - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon specfem3d: Tomographic Model specfem3d: Mount St. Helens remhos: Sample Remap Example embree: Pathtracer - Crown kripke: embree: Pathtracer ISPC - Crown onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only embree: Pathtracer - Asian Dragon embree: Pathtracer ISPC - Asian Dragon hadoop: Rename - 100 - 100000 hadoop: Rename - 50 - 100000 hadoop: Delete - 100 - 100000 hadoop: Delete - 50 - 100000 onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU hadoop: Open - 50 - 100000 hadoop: Open - 100 - 100000 hadoop: File Status - 100 - 100000 hadoop: File Status - 50 - 100000 svt-av1: Preset 4 - Bosphorus 1080p hadoop: Create - 100 - 100000 hadoop: Create - 50 - 100000 onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU svt-av1: Preset 8 - Bosphorus 4K onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU easywave: e2Asean Grid + BengkuluSept2007 Source - 240 svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p a b c d e f g 772162 38331 58974 1328 79090 41281 2540 12558 4331 159242 104627 127567 18361 27087 1212 85757 254.88 18095 28735 51105 80.54 15.9528 215.096 6767710000 66.42 248095 15.986 485.7175 49.3258 11106900000 33.22 393.6 30.41 213.94 56.01 13.8739 14.2369 42.44 282.55 42.24 283.97 37.8 317.22 14.23 842.91 4.88 2454.09 16.02 748.44 4.86 9837.58 38.5 1244.69 0.34 120606.38 30.72 1560.03 4.17 2873.24 0.54 86884.64 16.26 2945.26 5.89 2033.17 8.28 5776.94 2.03 5882.91 16.3468 26.885983804 26.985020908 33.3412 718.9189 26.2 73078 347.6612 68.5988 73239 16.9074 1417.0706 90114 605.0388 39.4951 98932 150.5897 158.924 605.758 39.4391 118.7509 201.3925 0.86 27.354 35.628 672.4635 215332 1886792 1126126 2173913 74.3211 322.2505 49.3653 485.6725 111.0131 215.6383 109.8027 218.1464 49.0092 489.1203 4.6508 5137.0114 5.203 15.10511773 711640000 46145 53.5733 622560000 3005800000 2559800000 425810000 2207700000 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39.4539 118.9482 201.2528 0.86 27.241 35.6422 672.3734 173822 161970 1020408 1941748 74.5553 321.1829 49.1082 488.1264 110.9152 215.9254 109.2332 219.5263 48.9703 489.4464 4.6476 5138.8341 5.149 14.46058698 718140000 44437 53.8135 610950000 2995400000 2571100000 429620000 2212100000 2001900000 216150000 108080000 55588000 1214200000 1190300000 602470000 14021000 27736000 692760000 366930000 305110000 196590000 153690000 114010000 77019000 59296000 39486000 52119 56.6902 12.100595947 11.318495709 16.791 55.3925 56.4551 1.83 1.84 59.9124 67.1951 69348 73046 90827 73801 469484 404858 458716 862069 12.591 37425 41288 91.322 138.338 166.692 166.378 427.686 542.611 762529 37368 59630 1381 78469 39106 2485 12681 4471 149962 17565 26546 1189 254.72 23324 52865 65406 80.41 15.9778 214.136 6754170000 66.72 270480 15.9872 507.4786 47.1535 10826700000 33.03 393.37 30.43 213.79 56.02 13.8317 14.1399 42.43 282.67 42.19 284.31 37.79 317.33 14.12 849.3 4.88 2455.51 15.83 757.38 4.86 9845.27 38.75 1237.29 0.34 123484.28 30.89 1551.63 4.16 2881.14 0.54 86789.8 16.02 2987.33 5.9 2029.79 8.24 5802.65 2.05 5840.53 16.535 27.490850157 27.060235079 33.4637 716.1404 26.12 66827 347.3728 68.6287 74638 16.8863 1418.9041 97031 605.9183 39.4464 90147 145.2562 164.6131 605.8765 39.4183 118.7801 201.5402 0.87 27.408 35.6825 671.2554 185874 1893939 683995 284252 74.5031 321.5082 49.0173 489.1106 111.025 215.647 109.5847 218.5162 49.2055 487.0522 4.6348 5153.6644 5.049 14.808273365 715030000 44001 53.6927 622630000 2999800000 2564900000 424400000 2206800000 2010300000 214910000 109140000 55165000 1254800000 1184800000 603650000 14225000 28227000 674930000 366990000 306760000 194510000 153670000 118550000 76924000 57519000 39453000 52260 56.9327 12.040917877 11.32735977 16.243 55.4037 56.8078 1.83 1.82 59.7929 67.5038 67159 77101 73475 90580 401606 403226 729927 657895 12.617 35075 43937 90.417 143.545 161.495 163.055 431.895 516.906 298064 191 36480 46977 1693 55334 487 34224 12622 5898 129492 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3.11 2562.54 6.5827 70.189028506 62.325146828 33.2625 240.2349 71.44 84360 325.7416 24.4725 84041 15.6245 511.4098 113225 607.913 12.9433 113327 144.1013 55.4634 606.755 13.1187 112.0574 71.2727 0.34 55.093 30.9867 257.894 1204819 22.2911 0.72 0.72 235627 251004 23.5283 320924 38.067 73.2609 109.0938 49.0094 163.1361 111.0888 71.9146 109.9654 72.6571 49.0598 162.9298 4.9859 1599.1543 4.114 21.9909 22.3422 35.030134889 285880000 70057 22.1577 281830000 1065100000 1117800000 24.8282 273480000 1057500000 1095400000 196040000 97005000 50380000 1032000000 1046600000 545140000 12366000 25207000 692920000 357990000 277780000 191230000 138620000 105480000 68846000 52827000 35315000 70897 23.9393 27.8293 27.459821308 26.799143446 30.845 21.4357 236243900 22.5694 0.633975 3.0637 3.84421 0.72 0.72 24.7343 28.3141 83822 82237 98039 100604 1.14432 2.56522 0.65761 552486 294985 613497 389105 10.984 58824 58617 1.05425 1.28043 0.575794 67.721 2.1257 1.54911 1.33861 119.307 162.051 162.608 1.91781 0.844434 3.38436 1.654 525.173 597.011 295603 191 36125 47141 1697 54956 488 34470 3218 12692 5954 130389 97368 119092 24830 1483 60310 667.87 26695 21067 41424 70105 223.95 5.55581 151.78 7955790000 181.7 196287 5.5732 494.2211 16.1307 97.987 9976450000 0.34 1642.35 1636.44 1636.76 851.494 845.308 849.344 90.26 760.57 10.48 399.24 20.01 5.45227 5.61454 74.43 107.39 74.87 106.76 64.31 124.3 21.65 369.26 7.67 1041.87 23.28 343.49 4.5 3548.78 37.01 431.94 0.35 44968.43 29.95 533.74 6.76 1180.85 0.49 31951.64 15.38 1038.47 10.09 791.74 7.97 2004.76 3.14 2539.97 6.59563 70.542255905 61.281769124 33.2751 240.1642 71.96 85815 324.9568 24.5238 82501 15.721 508.2088 110803 607.8171 13.0853 111198 143.6922 55.5428 606.7852 13.0934 112.413 71.044 0.34 55.148 31.0292 257.5046 1303781 22.2676 0.72 0.72 1964637 1221001 23.5042 1795332 38.015 73.2163 109.09 49.0712 162.9294 110.8852 71.9401 110.0001 72.5736 49.0714 162.8976 4.9877 1600.5275 4.138 21.7746 22.4407 35.535073001 285920000 70537 22.149 283030000 1065300000 1120500000 24.887 273390000 1057100000 1094600000 194500000 99441000 49977000 1024600000 1041900000 545020000 12681000 25199000 693340000 350450000 276390000 189880000 138580000 105740000 68861000 52879000 35271000 69920 23.9354 27.826 26.973757395 26.873168455 30.725 21.5913 236591000 22.6566 0.630325 3.05674 3.81823 0.72 0.72 24.7047 28.3237 79491 81633 99404 96993 1.00136 2.49714 0.653182 578035 523560 478469 709220 10.736 59382 58343 1.06144 1.20653 0.600834 67.393 2.13062 1.57282 1.34183 118.486 160.798 161.847 1.91422 0.850691 3.37956 1.657 521.518 585.368 295522 191 36088 46993 1705 55301 489 34107 3195 12627 96840 118549 17135 24574 1481 59944 669.09 18735 41695 69923 224.12 5.56539 151.681 7964910000 183.29 197092 5.57553 495.6033 16.0672 97.529 10500600000 0.34 1641.4 1631.99 1637.37 848.032 847.417 837.595 90.63 759.92 10.48 398.13 20.05 5.47725 5.62278 74.71 107.04 74.58 107.24 64.77 123.41 21.47 372.26 7.74 1031.6 23.42 341.36 4.52 3533.64 36.98 432.2 0.35 45097.99 29.72 538.01 6.79 1175.58 0.49 32008.03 15.37 1039.37 10.06 793.9 7.96 2006.09 3.12 2557.66 6.60085 69.955609165 62.810924376 33.3674 239.5176 72.01 85763 325.5075 24.4607 84810 15.6892 509.139 113895 607.1628 13.073 110828 144.1053 55.4264 608.7163 13.0596 112.4779 70.9275 0.34 55.172 31.0574 257.2808 1107420 22.2559 0.72 0.72 2049180 654022 23.7091 2036660 37.95 73.1867 109.2191 49.0259 162.9937 110.9759 71.9003 109.9037 72.6879 48.9837 163.2282 4.9787 1602.5221 4.143 21.8305 22.4215 35.378600021 286530000 70922 22.1901 281730000 1065700000 1118200000 24.9619 274070000 1056200000 1099300000 194670000 100170000 49556000 1033400000 1047100000 543050000 12256000 22727000 682070000 357810000 277410000 190750000 138460000 104800000 68678000 52854000 35236000 72706 23.8796 27.91 27.746475162 27.696631371 30.75 21.5847 237175700 22.7745 0.629108 3.05458 3.82381 0.72 0.72 24.8193 28.4793 80386 82237 102564 103950 1.12723 2.51441 0.6477 546448 460829 487805 561798 11.016 58928 60680 1.04567 1.27918 0.61232 67.811 2.11813 1.55118 1.33564 118.481 161.324 160.322 1.91274 0.843492 3.38156 1.648 528.533 586.748 OpenBenchmarking.org
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric a b c d e f g 170K 340K 510K 680K 850K 772162 768517 762529 298064 296125 295603 295522 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
OpenVKL Benchmark: vklBenchmarkCPU Scalar OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar g f d e 40 80 120 160 200 191 191 191 190 MIN: 13 / MAX: 3483 MIN: 13 / MAX: 3484 MIN: 13 / MAX: 3471 MIN: 13 / MAX: 3484
TiDB Community Server Test: oltp_read_write - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 16 a c b e d f g 8K 16K 24K 32K 40K 38331 37368 36950 36784 36480 36125 36088
TiDB Community Server Test: oltp_read_write - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 32 b c a f g d e 13K 26K 39K 52K 65K 61520 59630 58974 47141 46993 46977 46737
TiDB Community Server Test: oltp_update_non_index - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 1 e g f d c a b 400 800 1200 1600 2000 1708 1705 1697 1693 1381 1328 1312
TiDB Community Server Test: oltp_read_write - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 64 b a c d g f e 20K 40K 60K 80K 100K 80183 79090 78469 55334 55301 54956 53893
OpenVKL Benchmark: vklBenchmarkCPU ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC g f e d 110 220 330 440 550 489 488 487 487 MIN: 36 / MAX: 6969 MIN: 36 / MAX: 6952 MIN: 36 / MAX: 6956 MIN: 36 / MAX: 6949
TiDB Community Server Test: oltp_update_non_index - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 64 a b c f d g e 9K 18K 27K 36K 45K 41281 39759 39106 34470 34224 34107 33881
TiDB Community Server Test: oltp_read_write - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 1 f e g a b c 700 1400 2100 2800 3500 3218 3209 3195 2540 2510 2485
TiDB Community Server Test: oltp_update_index - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 16 f c g d e a 3K 6K 9K 12K 15K 12692 12681 12627 12622 12567 12558
TiDB Community Server Test: oltp_point_select - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 1 e f d c b a 1300 2600 3900 5200 6500 5976 5954 5898 4471 4405 4331
TiDB Community Server Test: oltp_point_select - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 128 b a c f e d 30K 60K 90K 120K 150K 159728 159242 149962 130389 129904 129492
TiDB Community Server Test: oltp_point_select - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 32 b a d f e g 20K 40K 60K 80K 100K 106180 104627 98149 97368 96907 96840
TiDB Community Server Test: oltp_point_select - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 64 b a f e g d 30K 60K 90K 120K 150K 130802 127567 119092 118657 118549 115675
TiDB Community Server Test: oltp_update_index - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 32 a b d c g e 4K 8K 12K 16K 20K 18361 17817 17612 17565 17135 17117
TiDB Community Server Test: oltp_update_index - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 128 b a c f e g 6K 12K 18K 24K 30K 27464 27087 26546 24830 24611 24574
TiDB Community Server Test: oltp_update_index - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 1 e f g d a c 300 600 900 1200 1500 1490 1483 1481 1479 1212 1189
TiDB Community Server Test: oltp_read_write - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 128 b a f e g d 20K 40K 60K 80K 100K 89099 85757 60310 60145 59944 59727
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only c a b f g e d 140 280 420 560 700 254.72 254.88 255.30 667.87 669.09 670.64 670.87
TiDB Community Server Test: oltp_update_non_index - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 16 g d e a b 4K 8K 12K 16K 20K 18735 18563 18557 18095 18068
TiDB Community Server Test: oltp_update_non_index - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 32 b a f e d 6K 12K 18K 24K 30K 28914 28735 26695 26285 26273
TiDB Community Server Test: oltp_update_index - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 64 b c e d f 5K 10K 15K 20K 25K 24371 23324 21271 21108 21067
TiDB Community Server Test: oltp_update_non_index - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 128 c a e g f 11K 22K 33K 44K 55K 52865 51105 42138 41695 41424
TiDB Community Server Test: oltp_point_select - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 16 e f g b c 15K 30K 45K 60K 75K 70250 70105 69923 67515 65406
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only c a b f e g d 50 100 150 200 250 80.41 80.54 80.76 223.95 224.10 224.12 224.15
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time b c a d g e f 4 8 12 16 20 15.98880 15.97780 15.95280 5.57001 5.56539 5.56353 5.55581
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time a c b d f g e 50 100 150 200 250 215.10 214.14 214.07 151.91 151.78 151.68 151.51
nekRS Input: TurboPipe Periodic OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: TurboPipe Periodic g f d e a b c 2000M 4000M 6000M 8000M 10000M 7964910000 7955790000 7934570000 7931010000 6767710000 6757360000 6754170000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only a b c f e d g 40 80 120 160 200 66.42 66.64 66.72 181.70 182.56 182.99 183.29
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes c b a d g f e 60K 120K 180K 240K 300K 270480 256661 248095 197866 197092 196287 195798
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time c a b g d f e 4 8 12 16 20 15.98720 15.98600 15.97850 5.57553 5.57469 5.57320 5.54107
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 d f e g c 110 220 330 440 550 485.72 487.36 493.60 494.22 494.26 495.60 507.48
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 c d e f g 11 22 33 44 55 49.33 49.17 47.15 16.16 16.14 16.13 16.07
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 g f d e 20 40 60 80 100 97.53 97.99 98.98 99.42 1. (CXX) g++ options: -O3 -fopenmp
nekRS Input: Kershaw OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: Kershaw b a c g d e f 2000M 4000M 6000M 8000M 10000M 11240300000 11106900000 10826700000 10500600000 10318900000 10264000000 9976450000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only g f e d 0.0765 0.153 0.2295 0.306 0.3825 0.34 0.34 0.34 0.34
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU g f e d 400 800 1200 1600 2000 1641.40 1642.35 1643.97 1643.99 MIN: 1589.91 MIN: 1586.17 MIN: 1590.89 MIN: 1588.03 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 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU g f e d 400 800 1200 1600 2000 1631.99 1636.44 1639.36 1642.51 MIN: 1581.62 MIN: 1585.81 MIN: 1581.93 MIN: 1593.16 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 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU f g e d 400 800 1200 1600 2000 1636.76 1637.37 1641.00 1641.92 MIN: 1585.98 MIN: 1584.58 MIN: 1595.55 MIN: 1584.81 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 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU d g e f 200 400 600 800 1000 838.52 848.03 849.71 851.49 MIN: 796.3 MIN: 807.34 MIN: 805.98 MIN: 807.97 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 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU e f d g 200 400 600 800 1000 841.08 845.31 847.38 847.42 MIN: 798.46 MIN: 803.78 MIN: 806.33 MIN: 806.72 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 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU g d f e 200 400 600 800 1000 837.60 849.16 849.34 851.66 MIN: 796.61 MIN: 806.44 MIN: 805.8 MIN: 809.45 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only c b a d f e g 20 40 60 80 100 33.03 33.17 33.22 90.03 90.26 90.31 90.63
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU b c a g f e d 160 320 480 640 800 393.23 393.37 393.60 759.92 760.57 761.16 761.59 MIN: 360.87 / MAX: 433.13 MIN: 362.57 / MAX: 433.51 MIN: 363.29 / MAX: 431.61 MIN: 737.63 / MAX: 771.07 MIN: 741.4 / MAX: 770.88 MIN: 741.99 / MAX: 776.56 MIN: 738.34 / MAX: 772.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU b c a g f e d 7 14 21 28 35 30.44 30.43 30.41 10.48 10.48 10.47 10.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU b c a g d e f 90 180 270 360 450 213.62 213.79 213.94 398.13 398.52 398.91 399.24 MIN: 197.2 / MAX: 235.23 MIN: 197.29 / MAX: 236.32 MIN: 201.64 / MAX: 242.71 MIN: 379.09 / MAX: 404.71 MIN: 382.1 / MAX: 404.98 MIN: 386.2 / MAX: 407.29 MIN: 387.9 / MAX: 408.93 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU b c a g d f e 13 26 39 52 65 56.06 56.02 56.01 20.05 20.03 20.01 20.00 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time a c b g e d f 4 8 12 16 20 13.87390 13.83170 13.76660 5.47725 5.46153 5.45329 5.45227
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time a b c g e f d 4 8 12 16 20 14.23690 14.17830 14.13990 5.62278 5.62040 5.61454 5.60747
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU b c a f e d g 20 40 60 80 100 42.20 42.43 42.44 74.43 74.50 74.71 74.71 MIN: 36.84 / MAX: 61.97 MIN: 36.31 / MAX: 62.36 MIN: 36.14 / MAX: 61.98 MIN: 65.68 / MAX: 83.49 MIN: 66.5 / MAX: 80.32 MIN: 66.12 / MAX: 81.09 MIN: 66.29 / MAX: 79.68 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU b c a f e g d 60 120 180 240 300 284.22 282.67 282.55 107.39 107.27 107.04 107.02 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU b c a e g d f 20 40 60 80 100 42.09 42.19 42.24 74.54 74.58 74.81 74.87 MIN: 37.13 / MAX: 58.71 MIN: 36.21 / MAX: 65.64 MIN: 36.59 / MAX: 61.56 MIN: 65.97 / MAX: 82.9 MIN: 67.63 / MAX: 78.73 MIN: 66.88 / MAX: 80.7 MIN: 66.72 / MAX: 80.96 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU b c a g e d f 60 120 180 240 300 284.99 284.31 283.97 107.24 107.24 106.90 106.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU b c a f d e g 14 28 42 56 70 37.79 37.79 37.80 64.31 64.41 64.68 64.77 MIN: 32.97 / MAX: 53.7 MIN: 33.29 / MAX: 54.88 MIN: 33.35 / MAX: 56.45 MIN: 50.85 / MAX: 70.77 MIN: 37.44 / MAX: 73.04 MIN: 38.02 / MAX: 72.52 MIN: 55.8 / MAX: 69.46 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c b a f d e g 70 140 210 280 350 317.33 317.28 317.22 124.30 124.12 123.61 123.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU b c a e g d f 5 10 15 20 25 14.03 14.12 14.23 21.40 21.47 21.57 21.65 MIN: 11.59 / MAX: 26.04 MIN: 11.51 / MAX: 26.04 MIN: 11.51 / MAX: 25.86 MIN: 19.07 / MAX: 25.3 MIN: 17.62 / MAX: 28.13 MIN: 19.5 / MAX: 24.76 MIN: 19.48 / MAX: 24.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU b c a e g d f 200 400 600 800 1000 854.51 849.30 842.91 373.64 372.26 370.57 369.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU a c b f d g e 2 4 6 8 10 4.88 4.88 4.89 7.67 7.70 7.74 7.77 MIN: 3.95 / MAX: 16.05 MIN: 3.9 / MAX: 14.94 MIN: 3.93 / MAX: 13.44 MIN: 5.32 / MAX: 16.6 MIN: 5.51 / MAX: 16.06 MIN: 6.06 / MAX: 12.66 MIN: 5.42 / MAX: 16.35 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c a b f d g e 500 1000 1500 2000 2500 2455.51 2454.09 2450.26 1041.87 1036.99 1031.60 1028.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c b a d f e g 6 12 18 24 30 15.83 15.98 16.02 23.20 23.28 23.32 23.42 MIN: 12.38 / MAX: 32.97 MIN: 12.74 / MAX: 33.34 MIN: 12.5 / MAX: 33.94 MIN: 15.1 / MAX: 31.6 MIN: 15.73 / MAX: 30.77 MIN: 19.49 / MAX: 30.99 MIN: 20.46 / MAX: 32.43 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c b a d f e g 160 320 480 640 800 757.38 750.49 748.44 344.67 343.49 342.81 341.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU f d e g b a c 1.0935 2.187 3.2805 4.374 5.4675 4.50 4.51 4.51 4.52 4.85 4.86 4.86 MIN: 2.98 / MAX: 13.86 MIN: 2.98 / MAX: 13.05 MIN: 2.96 / MAX: 16.06 MIN: 2.77 / MAX: 13.57 MIN: 4.25 / MAX: 12.86 MIN: 4.23 / MAX: 12.81 MIN: 4.34 / MAX: 12.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU b c a f e d g 2K 4K 6K 8K 10K 9849.07 9845.27 9837.58 3548.78 3544.18 3540.88 3533.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU e g f a b c d 9 18 27 36 45 36.98 36.98 37.01 38.50 38.66 38.75 40.40 MIN: 32.02 / MAX: 44.78 MIN: 32.61 / MAX: 41.91 MIN: 32.25 / MAX: 43.6 MIN: 36.77 / MAX: 44.23 MIN: 37.22 / MAX: 43.52 MIN: 37.46 / MAX: 43.52 MIN: 26.93 / MAX: 74.83 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c e g f d 300 600 900 1200 1500 1244.69 1239.67 1237.29 432.32 432.20 431.94 395.66 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c d e f g 0.0788 0.1576 0.2364 0.3152 0.394 0.34 0.34 0.34 0.35 0.35 0.35 0.35 MIN: 0.29 / MAX: 7.33 MIN: 0.29 / MAX: 10.87 MIN: 0.29 / MAX: 7.09 MIN: 0.23 / MAX: 9.09 MIN: 0.23 / MAX: 8.84 MIN: 0.23 / MAX: 9.15 MIN: 0.23 / MAX: 8.63 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c b a g f d e 30K 60K 90K 120K 150K 123484.28 120728.22 120606.38 45097.99 44968.43 44958.07 44933.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU g f d e a c b 7 14 21 28 35 29.72 29.95 30.02 30.10 30.72 30.89 31.00 MIN: 19.46 / MAX: 38.99 MIN: 19.01 / MAX: 38.08 MIN: 18.78 / MAX: 38.72 MIN: 22.61 / MAX: 39.15 MIN: 29.51 / MAX: 35.07 MIN: 29.48 / MAX: 36.29 MIN: 29.59 / MAX: 36.33 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU a c b g f d e 300 600 900 1200 1500 1560.03 1551.63 1546.02 538.01 533.74 532.59 530.99 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU b c a f d g e 2 4 6 8 10 4.16 4.16 4.17 6.76 6.79 6.79 6.80 MIN: 3.42 / MAX: 11.2 MIN: 3.43 / MAX: 10.26 MIN: 3.39 / MAX: 10.07 MIN: 4.04 / MAX: 15.47 MIN: 3.8 / MAX: 15.48 MIN: 3.79 / MAX: 15.41 MIN: 4.04 / MAX: 15.37 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c b a f d g e 600 1200 1800 2400 3000 2881.14 2880.58 2873.24 1180.85 1175.67 1175.58 1174.60 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU d e f g a b c 0.1215 0.243 0.3645 0.486 0.6075 0.49 0.49 0.49 0.49 0.54 0.54 0.54 MIN: 0.3 / MAX: 9.28 MIN: 0.3 / MAX: 9.07 MIN: 0.3 / MAX: 8.2 MIN: 0.3 / MAX: 8.84 MIN: 0.45 / MAX: 7.64 MIN: 0.45 / MAX: 7.81 MIN: 0.45 / MAX: 5.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU b a c e g d f 20K 40K 60K 80K 100K 87359.23 86884.64 86789.80 32032.06 32008.03 32002.62 31951.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU d e g f b c a 4 8 12 16 20 15.36 15.36 15.37 15.38 16.02 16.02 16.26 MIN: 8.08 / MAX: 24.34 MIN: 8.02 / MAX: 23.81 MIN: 7.99 / MAX: 23.98 MIN: 7.99 / MAX: 24 MIN: 14.41 / MAX: 30.55 MIN: 14.63 / MAX: 33.79 MIN: 14.71 / MAX: 28.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c b a e d g f 600 1200 1800 2400 3000 2987.33 2986.46 2945.26 1039.82 1039.61 1039.37 1038.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU a c b d e g f 3 6 9 12 15 5.89 5.90 5.91 10.01 10.06 10.06 10.09 MIN: 4.67 / MAX: 18.4 MIN: 4.83 / MAX: 13.4 MIN: 4.84 / MAX: 12.9 MIN: 5.7 / MAX: 19.52 MIN: 5.29 / MAX: 19.07 MIN: 5.2 / MAX: 19.38 MIN: 5.4 / MAX: 19.17 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU a c b d g e f 400 800 1200 1600 2000 2033.17 2029.79 2028.01 797.64 793.90 793.75 791.74 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU d e g f c b a 2 4 6 8 10 7.93 7.96 7.96 7.97 8.24 8.27 8.28 MIN: 4.2 / MAX: 16.92 MIN: 4.19 / MAX: 16.59 MIN: 4.19 / MAX: 14.2 MIN: 4.37 / MAX: 16.86 MIN: 7.62 / MAX: 23.32 MIN: 7.37 / MAX: 25.18 MIN: 7.44 / MAX: 23.35 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c b a d e g f 1200 2400 3600 4800 6000 5802.65 5780.44 5776.94 2013.77 2007.53 2006.09 2004.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU a b c d e g f 0.7065 1.413 2.1195 2.826 3.5325 2.03 2.05 2.05 3.11 3.11 3.12 3.14 MIN: 1.66 / MAX: 7.51 MIN: 1.6 / MAX: 7 MIN: 1.62 / MAX: 6.96 MIN: 1.94 / MAX: 11.57 MIN: 1.93 / MAX: 9.72 MIN: 1.88 / MAX: 11.92 MIN: 1.93 / MAX: 11.65 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU a c b d e g f 1300 2600 3900 5200 6500 5882.91 5840.53 5836.27 2564.78 2562.54 2557.66 2539.97 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time c b a g f d e 4 8 12 16 20 16.53500 16.43650 16.34680 6.60085 6.59563 6.58745 6.58270
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace a c b g e f d 16 32 48 64 80 26.89 27.49 28.65 69.96 70.19 70.54 71.61 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace a c b f e d g 14 28 42 56 70 26.99 27.06 29.46 61.28 62.33 62.44 62.81 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
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 d e f a g b c 8 16 24 32 40 33.22 33.26 33.28 33.34 33.37 33.38 33.46
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 c d e f g 160 320 480 640 800 718.92 717.97 716.14 240.55 240.23 240.16 239.52
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only c a b e f d g 16 32 48 64 80 26.12 26.20 26.24 71.44 71.96 72.00 72.01
Apache Hadoop Operation: Rename - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 1000000 f g e d a b c 20K 40K 60K 80K 100K 85815 85763 84360 81208 73078 72129 66827
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 f g e d b c a 80 160 240 320 400 324.96 325.51 325.74 325.88 347.22 347.37 347.66
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 b c a f d e g 15 30 45 60 75 68.66 68.63 68.60 24.52 24.48 24.47 24.46
Apache Hadoop Operation: Rename - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 1000000 g e d f c a b 20K 40K 60K 80K 100K 84810 84041 83921 82501 74638 73239 71679
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 e g f d c a b 4 8 12 16 20 15.62 15.69 15.72 15.72 16.89 16.91 17.07
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 c a b e g f d 300 600 900 1200 1500 1418.90 1417.07 1403.07 511.41 509.14 508.21 508.09
Apache Hadoop Operation: Delete - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 1000000 g e d f c a b 20K 40K 60K 80K 100K 113895 113225 112613 110803 97031 90114 86715
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 c d g f e 130 260 390 520 650 605.04 605.73 605.92 606.10 607.16 607.82 607.91
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 c f g d e 9 18 27 36 45 39.50 39.47 39.45 13.09 13.07 13.07 12.94
Apache Hadoop Operation: Delete - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 1000000 e f d g a b c 20K 40K 60K 80K 100K 113327 111198 111012 110828 98932 97314 90147
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 f d e g c a b 30 60 90 120 150 143.69 143.76 144.10 144.11 145.26 150.59 150.61
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 c b a d f e g 40 80 120 160 200 164.61 159.06 158.92 55.61 55.54 55.46 55.43
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 c d b e f g 130 260 390 520 650 605.76 605.88 606.58 606.67 606.76 606.79 608.72
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 b a c d e f g 9 18 27 36 45 39.45 39.44 39.42 13.13 13.12 13.09 13.06
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 e d f g a c b 30 60 90 120 150 112.06 112.25 112.41 112.48 118.75 118.78 118.95
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 c a b e d f g 40 80 120 160 200 201.54 201.39 201.25 71.27 71.14 71.04 70.93
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only c b a g f e d 0.1958 0.3916 0.5874 0.7832 0.979 0.87 0.86 0.86 0.34 0.34 0.34 0.34
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig b a c e f g d 12 24 36 48 60 27.24 27.35 27.41 55.09 55.15 55.17 55.17
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 e f d g a b c 8 16 24 32 40 30.99 31.03 31.05 31.06 35.63 35.64 35.68
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 c e f g d 150 300 450 600 750 672.46 672.37 671.26 257.89 257.50 257.28 257.27
Apache Hadoop Operation: Open - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 1000000 f d e g a c b 300K 600K 900K 1200K 1500K 1303781 1248439 1204819 1107420 215332 185874 173822
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj d e f g 5 10 15 20 25 22.35 22.29 22.27 22.26 MIN: 22.28 / MAX: 22.5 MIN: 22.22 / MAX: 22.46 MIN: 22.2 / MAX: 22.44 MIN: 22.18 / MAX: 22.43
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only g f e d 0.162 0.324 0.486 0.648 0.81 0.72 0.72 0.72 0.72
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only g f e d 0.162 0.324 0.486 0.648 0.81 0.72 0.72 0.72 0.72
Apache Hadoop Operation: File Status - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 1000000 g f c a d e b 400K 800K 1200K 1600K 2000K 2049180 1964637 1893939 1886792 600601 235627 161970
Apache Hadoop Operation: Open - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 1000000 f a b c g d e 300K 600K 900K 1200K 1500K 1221001 1126126 1020408 683995 654022 278319 251004
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj g e f d 6 12 18 24 30 23.71 23.53 23.50 23.35 MIN: 23.61 / MAX: 23.93 MIN: 23.43 / MAX: 23.73 MIN: 23.4 / MAX: 23.74 MIN: 23.26 / MAX: 23.57
Apache Hadoop Operation: File Status - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 1000000 a g b d f e c 500K 1000K 1500K 2000K 2500K 2173913 2036660 1941748 1818182 1795332 320924 284252
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 g f e d 9 18 27 36 45 37.95 38.02 38.07 38.11 1. (CXX) g++ options: -O3 -fopenmp
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 g f e d a c b 20 40 60 80 100 73.19 73.22 73.26 73.31 74.32 74.50 74.56
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 c b g e f d 70 140 210 280 350 322.25 321.51 321.18 109.22 109.09 109.09 108.91
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 e c g f d b a 11 22 33 44 55 49.01 49.02 49.03 49.07 49.09 49.11 49.37
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 c b a e g f d 110 220 330 440 550 489.11 488.13 485.67 163.14 162.99 162.93 162.85
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 f b g a c e d 20 40 60 80 100 110.89 110.92 110.98 111.01 111.03 111.09 111.11
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 b c a f d e g 50 100 150 200 250 215.93 215.65 215.64 71.94 71.92 71.91 71.90
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 b c a g e f d 20 40 60 80 100 109.23 109.58 109.80 109.90 109.97 110.00 110.11
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 b c a g e f d 50 100 150 200 250 219.53 218.52 218.15 72.69 72.66 72.57 72.46
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 d b g a e f c 11 22 33 44 55 48.87 48.97 48.98 49.01 49.06 49.07 49.21
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 b a c d g e f 110 220 330 440 550 489.45 489.12 487.05 163.56 163.23 162.93 162.90
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 c b a g e f d 1.1241 2.2482 3.3723 4.4964 5.6205 4.6348 4.6476 4.6508 4.9787 4.9859 4.9877 4.9960
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 c b a g f d e 1100 2200 3300 4400 5500 5153.66 5138.83 5137.01 1602.52 1600.53 1599.21 1599.15
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K a b c g f e d 1.1707 2.3414 3.5121 4.6828 5.8535 5.203 5.149 5.049 4.143 4.138 4.114 4.107 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown e d g f 5 10 15 20 25 21.99 21.89 21.83 21.77 MIN: 21.84 / MAX: 22.32 MIN: 21.74 / MAX: 22.23 MIN: 21.69 / MAX: 22.17 MIN: 21.63 / MAX: 22.18
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown f g d e 5 10 15 20 25 22.44 22.42 22.39 22.34 MIN: 22.25 / MAX: 22.78 MIN: 22.22 / MAX: 22.85 MIN: 22.2 / MAX: 22.85 MIN: 22.15 / MAX: 22.75
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace b c a e g f d 8 16 24 32 40 14.46 14.81 15.11 35.03 35.38 35.54 35.57 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
Liquid-DSP Threads: 96 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 512 b c a g d f e 150M 300M 450M 600M 750M 718140000 715030000 711640000 286530000 286250000 285920000 285880000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Apache Hadoop Operation: Create - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 1000000 d g f e a b c 15K 30K 45K 60K 75K 71296 70922 70537 70057 46145 44437 44001
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj b c a d g e f 12 24 36 48 60 53.81 53.69 53.57 22.26 22.19 22.16 22.15 MIN: 52.72 / MAX: 55.86 MIN: 52.63 / MAX: 55.24 MIN: 52.17 / MAX: 55.38 MIN: 22.18 / MAX: 22.42 MIN: 22.12 / MAX: 22.33 MIN: 22.08 / MAX: 22.35 MIN: 22.07 / MAX: 22.32
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 c a b f d e g 130M 260M 390M 520M 650M 622630000 622560000 610950000 283030000 282920000 281830000 281730000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 96 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 32 a c b g f d e 600M 1200M 1800M 2400M 3000M 3005800000 2999800000 2995400000 1065700000 1065300000 1065200000 1065100000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 96 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 57 b c a d f g e 600M 1200M 1800M 2400M 3000M 2571100000 2564900000 2559800000 1120800000 1120500000 1118200000 1117800000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon g f d e 6 12 18 24 30 24.96 24.89 24.85 24.83 MIN: 24.9 / MAX: 25.13 MIN: 24.81 / MAX: 25.06 MIN: 24.78 / MAX: 25 MIN: 24.76 / MAX: 24.96
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 b a c g d e f 90M 180M 270M 360M 450M 429620000 425810000 424400000 274070000 273760000 273480000 273390000 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 b a c d e f g 500M 1000M 1500M 2000M 2500M 2212100000 2207700000 2206800000 1059500000 1057500000 1057100000 1056200000 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 c b a g e f d 400M 800M 1200M 1600M 2000M 2010300000 2001900000 1994400000 1099300000 1095400000 1094600000 1093300000 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 b a c e g f d 50M 100M 150M 200M 250M 216150000 216080000 214910000 196040000 194670000 194500000 193850000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 8 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 512 a c b g d f e 20M 40M 60M 80M 100M 109870000 109140000 108080000 100170000 99594000 99441000 97005000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 4 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 512 b c a e d f g 12M 24M 36M 48M 60M 55588000 55165000 52911000 50380000 50258000 49977000 49556000 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 c b a d g e f 300M 600M 900M 1200M 1500M 1254800000 1214200000 1192100000 1035000000 1033400000 1032000000 1024600000 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 b c a g d e f 300M 600M 900M 1200M 1500M 1190300000 1184800000 1183500000 1047100000 1047100000 1046600000 1041900000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
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 c b a d e f g 130M 260M 390M 520M 650M 603650000 602470000 594230000 545360000 545140000 545020000 543050000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 1 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 512 c b a d f e g 3M 6M 9M 12M 15M 14225000 14021000 13909000 12683000 12681000 12366000 12256000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 2 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 512 c a b e f d g 6M 12M 18M 24M 30M 28227000 27901000 27736000 25207000 25199000 24627000 22727000 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 f e b d g c 150M 300M 450M 600M 750M 699740000 693340000 692920000 692760000 689150000 682070000 674930000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 8 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 57 a c b d e g f 80M 160M 240M 320M 400M 369430000 366990000 366930000 363310000 357990000 357810000 350450000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 8 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 32 a c b d e g f 70M 140M 210M 280M 350M 307540000 306760000 305110000 278030000 277780000 277410000 276390000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 4 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 57 b a c e g f d 40M 80M 120M 160M 200M 196590000 196220000 194510000 191230000 190750000 189880000 188930000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 4 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 32 a b c e d f g 30M 60M 90M 120M 150M 153850000 153690000 153670000 138620000 138600000 138580000 138460000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 2 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 57 c a b f d e g 30M 60M 90M 120M 150M 118550000 117490000 114010000 105740000 105650000 105480000 104800000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 2 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 32 a b c f e g d 17M 34M 51M 68M 85M 77181000 77019000 76924000 68861000 68846000 68678000 67054000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 1 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 57 a b c f g e d 13M 26M 39M 52M 65M 59401000 59296000 57519000 52879000 52854000 52827000 52665000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 1 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 32 a b c e f g d 8M 16M 24M 32M 40M 39499000 39486000 39453000 35315000 35271000 35236000 35228000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Apache Hadoop Operation: Create - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 1000000 g d e f a c b 16K 32K 48K 64K 80K 72706 72134 70897 69920 53665 52260 52119
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj c b a e f g d 13 26 39 52 65 56.93 56.69 56.49 23.94 23.94 23.88 23.87 MIN: 55.56 / MAX: 59.67 MIN: 55.42 / MAX: 58.97 MIN: 55.29 / MAX: 58.38 MIN: 23.84 / MAX: 24.18 MIN: 23.84 / MAX: 24.16 MIN: 23.79 / MAX: 24.08 MIN: 23.78 / MAX: 24.08
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon g e f d 7 14 21 28 35 27.91 27.83 27.83 27.74 MIN: 27.81 / MAX: 28.17 MIN: 27.72 / MAX: 28.1 MIN: 27.73 / MAX: 28.13 MIN: 27.64 / MAX: 27.98
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model c b a f d e g 7 14 21 28 35 12.04 12.10 12.31 26.97 27.33 27.46 27.75 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens a b c d e f g 7 14 21 28 35 11.02 11.32 11.33 26.74 26.80 26.87 27.70 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
Remhos Test: Sample Remap Example OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example c a b f g d e 7 14 21 28 35 16.24 16.35 16.79 30.73 30.75 30.76 30.85 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Crown c b a f g d e 12 24 36 48 60 55.40 55.39 54.90 21.59 21.58 21.48 21.44 MIN: 53.71 / MAX: 58.99 MIN: 54.02 / MAX: 57.64 MIN: 53.27 / MAX: 57.28 MIN: 21.45 / MAX: 21.84 MIN: 21.43 / MAX: 21.89 MIN: 21.32 / MAX: 21.8 MIN: 21.3 / MAX: 21.78
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 d g f e 50M 100M 150M 200M 250M 240994500 237175700 236591000 236243900 1. (CXX) g++ options: -O3 -fopenmp -ldl
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Crown c b a g f d e 13 26 39 52 65 56.81 56.46 56.09 22.77 22.66 22.59 22.57 MIN: 55.27 / MAX: 59.91 MIN: 54.53 / MAX: 59.89 MIN: 54.05 / MAX: 59.82 MIN: 22.57 / MAX: 23.16 MIN: 22.45 / MAX: 22.99 MIN: 22.39 / MAX: 22.98 MIN: 22.39 / MAX: 22.93
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU d g f e 0.1426 0.2852 0.4278 0.5704 0.713 0.628236 0.629108 0.630325 0.633975 MIN: 0.6 MIN: 0.6 MIN: 0.6 MIN: 0.6 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU g f d e 0.6893 1.3786 2.0679 2.7572 3.4465 3.05458 3.05674 3.05991 3.06370 MIN: 2.97 MIN: 2.97 MIN: 2.96 MIN: 2.97 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 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU d f g e 0.8649 1.7298 2.5947 3.4596 4.3245 3.81576 3.81823 3.82381 3.84421 MIN: 3.26 MIN: 3.25 MIN: 3.29 MIN: 3.27 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only c b a g f e d 0.4118 0.8236 1.2354 1.6472 2.059 1.83 1.83 1.83 0.72 0.72 0.72 0.72
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only b a c g f e d 0.414 0.828 1.242 1.656 2.07 1.84 1.84 1.82 0.72 0.72 0.72 0.72
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Asian Dragon a b c g e f d 13 26 39 52 65 60.14 59.91 59.79 24.82 24.73 24.70 24.69 MIN: 58.97 / MAX: 62 MIN: 58.66 / MAX: 61.96 MIN: 58.46 / MAX: 62.03 MIN: 24.74 / MAX: 25 MIN: 24.67 / MAX: 24.86 MIN: 24.63 / MAX: 24.84 MIN: 24.62 / MAX: 24.84
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon c a b g d f e 15 30 45 60 75 67.50 67.34 67.20 28.48 28.36 28.32 28.31 MIN: 65.64 / MAX: 71.17 MIN: 65.61 / MAX: 70.54 MIN: 65.48 / MAX: 70.41 MIN: 28.37 / MAX: 28.69 MIN: 28.26 / MAX: 28.59 MIN: 28.23 / MAX: 28.55 MIN: 28.21 / MAX: 28.56
Apache Hadoop Operation: Rename - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 100000 e d g f a b c 20K 40K 60K 80K 100K 83822 82102 80386 79491 75529 69348 67159
Apache Hadoop Operation: Rename - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 100000 d g e f c b a 20K 40K 60K 80K 100K 82372 82237 82237 81633 77101 73046 70522
Apache Hadoop Operation: Delete - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 100000 d g f e b a c 20K 40K 60K 80K 100K 105708 102564 99404 98039 90827 87566 73475
Apache Hadoop Operation: Delete - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 100000 g d e f a c b 20K 40K 60K 80K 100K 103950 101010 100604 96993 91075 90580 73801
oneDNN Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU f d g e 0.2575 0.515 0.7725 1.03 1.2875 1.00136 1.03749 1.12723 1.14432 MIN: 0.92 MIN: 0.92 MIN: 0.93 MIN: 1.07 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU d f g e 0.5772 1.1544 1.7316 2.3088 2.886 2.49408 2.49714 2.51441 2.56522 MIN: 2.3 MIN: 2.26 MIN: 2.3 MIN: 2.32 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 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU g d f e 0.148 0.296 0.444 0.592 0.74 0.647700 0.652259 0.653182 0.657610 MIN: 0.57 MIN: 0.57 MIN: 0.57 MIN: 0.57 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Apache Hadoop Operation: Open - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 100000 f d e g b a c 120K 240K 360K 480K 600K 578035 578035 552486 546448 469484 460829 401606
Apache Hadoop Operation: Open - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 100000 d f g a b c e 110K 220K 330K 440K 550K 529101 523560 460829 420168 404858 403226 294985
Apache Hadoop Operation: File Status - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 100000 c e d a g f b 160K 320K 480K 640K 800K 729927 613497 591716 515464 487805 478469 458716
Apache Hadoop Operation: File Status - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 100000 b f c d g a e 200K 400K 600K 800K 1000K 862069 709220 657895 632911 561798 529101 389105
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p c b a g e d f 3 6 9 12 15 12.62 12.59 12.48 11.02 10.98 10.91 10.74 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Apache Hadoop Operation: Create - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 100000 f g e d a b c 13K 26K 39K 52K 65K 59382 58928 58824 57971 40733 37425 35075
Apache Hadoop Operation: Create - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 100000 g e d f c a b 13K 26K 39K 52K 65K 60680 58617 58617 58343 43937 43649 41288
oneDNN Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU d g e f 0.2388 0.4776 0.7164 0.9552 1.194 1.02875 1.04567 1.05425 1.06144 MIN: 0.96 MIN: 0.98 MIN: 0.97 MIN: 0.98 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 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU f d g e 0.2881 0.5762 0.8643 1.1524 1.4405 1.20653 1.25758 1.27918 1.28043 MIN: 1.18 MIN: 1.21 MIN: 1.24 MIN: 1.24 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 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU e f d g 0.1378 0.2756 0.4134 0.5512 0.689 0.575794 0.600834 0.603950 0.612320 MIN: 0.52 MIN: 0.53 MIN: 0.53 MIN: 0.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K b a c g e f d 20 40 60 80 100 91.32 90.81 90.42 67.81 67.72 67.39 66.99 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU g e f d 0.48 0.96 1.44 1.92 2.4 2.11813 2.12570 2.13062 2.13332 MIN: 1.99 MIN: 2.01 MIN: 1.97 MIN: 2 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 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU e g d f 0.3539 0.7078 1.0617 1.4156 1.7695 1.54911 1.55118 1.55824 1.57282 MIN: 1.51 MIN: 1.52 MIN: 1.51 MIN: 1.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU g d e f 0.3019 0.6038 0.9057 1.2076 1.5095 1.33564 1.33789 1.33861 1.34183 MIN: 1.31 MIN: 1.31 MIN: 1.31 MIN: 1.31 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p c a b e d f g 30 60 90 120 150 143.55 141.22 138.34 119.31 118.95 118.49 118.48 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 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K b a e d c g f 40 80 120 160 200 166.69 163.01 162.05 161.85 161.50 161.32 160.80 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 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K b a d c e f g 40 80 120 160 200 166.38 163.46 163.19 163.06 162.61 161.85 160.32 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU g d f e 0.4315 0.863 1.2945 1.726 2.1575 1.91274 1.91374 1.91422 1.91781 MIN: 1.88 MIN: 1.88 MIN: 1.88 MIN: 1.88 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 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU g e d f 0.1914 0.3828 0.5742 0.7656 0.957 0.843492 0.844434 0.847805 0.850691 MIN: 0.83 MIN: 0.83 MIN: 0.83 MIN: 0.83 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 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU d f g e 0.7615 1.523 2.2845 3.046 3.8075 3.37782 3.37956 3.38156 3.38436 MIN: 3.33 MIN: 3.33 MIN: 3.33 MIN: 3.33 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 g e d f 0.3728 0.7456 1.1184 1.4912 1.864 1.648 1.654 1.657 1.657 1. (CXX) g++ options: -O3 -fopenmp
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p g d e f c b a 110 220 330 440 550 528.53 526.22 525.17 521.52 431.90 427.69 422.99 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 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p d e g f b c a 130 260 390 520 650 604.99 597.01 586.75 585.37 542.61 516.91 510.36 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Phoronix Test Suite v10.8.4