sdfa AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2312122-PTS-SDFA911983&grt&sro .
sdfa Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c d AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads) Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) AMD Starship/Matisse 128GB Samsung SSD 970 EVO Plus 500GB AMD Radeon RX 5700 8GB (1750/875MHz) AMD Navi 10 HDMI Audio DELL P2415Q Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 23.10 6.5.0-13-generic (x86_64) GNOME Shell 45.0 X Server + Wayland 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54) GCC 13.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a Java Details - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10) Python Details - Python 3.11.6 Security Details - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
sdfa spark-tpch: 1 - Geometric Mean Of All Queries spark-tpch: 1 - Q01 spark-tpch: 1 - Q02 spark-tpch: 1 - Q03 spark-tpch: 1 - Q04 spark-tpch: 1 - Q05 spark-tpch: 1 - Q06 spark-tpch: 1 - Q07 spark-tpch: 1 - Q08 spark-tpch: 1 - Q09 spark-tpch: 1 - Q10 spark-tpch: 1 - Q11 spark-tpch: 1 - Q12 spark-tpch: 1 - Q13 spark-tpch: 1 - Q14 spark-tpch: 1 - Q15 spark-tpch: 1 - Q16 spark-tpch: 1 - Q17 spark-tpch: 1 - Q18 spark-tpch: 1 - Q19 spark-tpch: 1 - Q20 spark-tpch: 1 - Q21 spark-tpch: 1 - Q22 spark-tpch: 10 - Geometric Mean Of All Queries spark-tpch: 10 - Q01 spark-tpch: 10 - Q02 spark-tpch: 10 - Q03 spark-tpch: 10 - Q04 spark-tpch: 10 - Q05 spark-tpch: 10 - Q06 spark-tpch: 10 - Q07 spark-tpch: 10 - Q08 spark-tpch: 10 - Q09 spark-tpch: 10 - Q10 spark-tpch: 10 - Q11 spark-tpch: 10 - Q12 spark-tpch: 10 - Q13 spark-tpch: 10 - Q14 spark-tpch: 10 - Q15 spark-tpch: 10 - Q16 spark-tpch: 10 - Q17 spark-tpch: 10 - Q18 spark-tpch: 10 - Q19 spark-tpch: 10 - Q20 spark-tpch: 10 - Q21 spark-tpch: 10 - Q22 spark-tpch: 50 - Geometric Mean Of All Queries spark-tpch: 50 - Q01 spark-tpch: 50 - Q02 spark-tpch: 50 - Q03 spark-tpch: 50 - Q04 spark-tpch: 50 - Q05 spark-tpch: 50 - Q06 spark-tpch: 50 - Q07 spark-tpch: 50 - Q08 spark-tpch: 50 - Q09 spark-tpch: 50 - Q10 spark-tpch: 50 - Q11 spark-tpch: 50 - Q12 spark-tpch: 50 - Q13 spark-tpch: 50 - Q14 spark-tpch: 50 - Q15 spark-tpch: 50 - Q16 spark-tpch: 50 - Q17 spark-tpch: 50 - Q18 spark-tpch: 50 - Q19 spark-tpch: 50 - Q20 spark-tpch: 50 - Q21 spark-tpch: 50 - Q22 deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Synchronous Single-Stream deepsparse: ResNet-50, Baseline - Synchronous Single-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream a b c d 2.20328734 4.69511843 2.19916511 3.15890259 2.96026391 3.46156806 0.75870752 3.16296500 2.29091269 4.40090740 2.83789939 1.30849856 2.14987269 1.40058664 1.83231536 1.99491587 1.42731291 2.66192222 4.00372249 1.02847038 2.75555176 7.39505470 1.08502284 8.17090667 8.67833742 4.85099522 10.24406719 8.63682970 12.47607358 4.40131362 10.63118744 10.99399408 14.89943695 10.26555188 4.54931625 8.03465001 4.45708307 5.79615275 5.83709431 4.32050626 12.45044740 14.86223253 7.21627538 8.84160964 29.31493378 3.53586213 27.97562823 26.02234904 10.48352242 36.61449941 30.58487765 41.16542689 20.38117282 35.63054784 38.35942205 46.89715449 35.92603938 9.06239065 30.43039259 12.33711910 25.48705292 23.04547437 10.58654118 55.60917791 62.50857417 24.71872266 30.70769501 130.86564128 10.67486382 37.9294 836.9172 13.8987 71.9375 980.4497 32.6019 129.7041 7.7066 441.4407 72.4193 103.5643 9.6462 2555.4232 12.4868 627.7539 1.5897 201.9130 158.1544 86.3769 11.5611 49.2180 649.9348 11.3088 88.4675 449.3079 71.1719 106.4432 9.3853 215.8297 147.9620 91.1432 10.9635 336.1917 95.0151 56.7902 17.5978 43.1906 736.7739 17.0745 58.5511 503.4132 63.4770 64.7072 15.4510 37.7351 841.4259 14.0751 71.0390 2.24531415 4.73092079 2.20726132 3.2391243 3.09257221 3.3776865 0.73223764 3.30348134 2.32780766 4.51510048 3.07959628 1.36447799 2.0294199 1.45866323 1.78157055 2.17460775 1.43939853 2.72264194 4.0458951 1.1739459 2.58762598 7.70369244 0.98886323 7.89399455 8.70151806 4.88495016 10.32122612 8.70809078 12.91888523 4.62162924 10.531744 10.67045593 14.1802969 10.18445492 4.26761341 8.10859299 4.03698015 5.82840872 5.68089533 4.15591764 12.44107723 14.87680531 6.0425024 8.87663841 28.79863548 3.40110779 27.78682893 25.99035454 10.45031643 36.02916718 30.26870918 43.25001144 20.29723358 35.34214783 37.97156906 46.31754303 36.27207947 8.69320774 30.40716553 12.13110542 25.39692879 22.88924599 10.53230286 55.27999115 61.9550209 25.07553101 30.53813362 131.45526123 10.52690792 39.3833 806.3928 14.4029 69.4174 993.6037 32.1567 131.167 7.6192 450.8062 70.9424 106.9295 9.3424 2635.5729 12.1095 599.1863 1.6656 206.9627 154.3035 88.165 11.3279 49.3328 648.524 11.6057 86.1505 448.7603 71.2672 106.5387 9.377 212.7552 150.2259 89.8018 11.1265 337.0821 94.8818 59.0082 16.9355 43.8384 726.2504 17.9912 55.5621 508.5902 62.8112 64.3985 15.522 37.9456 837.4581 14.3078 69.8784 2.23705911 4.84034109 2.27846766 3.34556897 2.94428595 3.52418653 0.71082556 3.18430217 2.35779921 4.32967218 3.02914357 1.28974267 2.04039538 1.39991681 1.83836599 2.14363774 1.49448760 2.58527072 3.99324067 1.20837911 2.75284823 7.46197589 1.05880324 8.11142575 8.66681448 4.92897081 10.26445103 8.50457668 12.66337935 4.30036068 10.62009271 10.85271359 14.81898117 10.41971207 4.38963429 8.17116038 4.09777006 5.86177413 5.81021436 4.17572975 12.41860390 16.11452039 6.54328155 8.91217136 29.03367678 3.69966158 28.11219413 26.00166639 10.56094869 37.05844625 30.22341601 39.70042801 20.34083811 35.45530701 37.80742772 47.10843913 36.82142385 8.75260639 30.88582865 13.13648542 25.45622126 22.94638952 10.82443651 55.33429082 62.29955419 24.89447530 30.78961944 131.42175293 10.63667170 37.7845 841.3435 13.8813 72.0273 988.4905 32.3392 132.1047 7.5689 445.1623 71.8091 106.0333 9.4215 2548.3771 12.5199 591.2570 1.6887 199.2162 160.2780 87.9306 11.3576 49.0805 649.7550 11.8387 84.4587 452.0401 70.7399 107.1042 9.3277 216.3914 147.4889 91.1565 10.9619 337.7813 94.6789 57.1793 17.4779 43.0454 737.9777 16.9865 58.8526 506.1330 63.1295 64.1154 15.5926 37.9380 837.1418 14.1048 70.8989 2.22356446 4.84622987 2.27512868 3.15447322 2.85856040 3.30995369 0.74262398 3.25330043 2.22529737 4.55872504 3.14210590 1.29190469 2.06954416 1.39225551 1.83219139 2.27715731 1.53928820 2.57773050 3.86921136 0.99435820 2.74797662 7.40773551 1.06113847 8.24567273 8.73231697 4.79437430 10.15224552 8.33958340 12.65661907 4.36710962 10.74541600 10.81727695 14.92097505 10.35872300 4.48057460 8.09419775 4.61340586 5.73522472 5.85565599 4.34601260 12.40058359 14.91129049 8.02795347 8.82452583 28.90806135 3.59682607 28.12394226 26.11903827 10.44357236 35.99200439 30.55707931 38.99460093 20.38204702 35.40038427 38.38075257 46.99718602 35.92824809 9.01768939 30.04180272 13.68457921 25.42378616 23.00236766 10.91404247 55.42181269 62.73364003 25.02892049 30.51781400 131.00612386 10.26505438 38.7188 820.1208 13.9020 71.9192 989.0589 32.3108 134.3975 7.4402 441.3941 72.4572 103.9791 9.6084 2543.1138 12.5483 620.2412 1.6090 201.9444 158.1065 87.4654 11.4172 49.1687 650.6931 11.7423 85.1572 450.0598 71.0506 104.2930 9.5802 215.2909 148.2827 89.5918 11.1539 335.0968 95.4458 56.8599 17.5761 43.0569 737.8524 17.0878 58.5011 504.8420 63.2965 64.0842 15.6001 37.4534 845.4438 13.9997 71.4165 OpenBenchmarking.org
Apache Spark TPC-H Scale Factor: 1 - Geometric Mean Of All Queries OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Geometric Mean Of All Queries a b c d 0.5052 1.0104 1.5156 2.0208 2.526 SE +/- 0.02461970, N = 4 SE +/- 0.00573499, N = 3 SE +/- 0.02256519, N = 3 2.20328734 2.24531415 2.23705911 2.22356446 MIN: 0.99 / MAX: 7.56 MIN: 0.99 / MAX: 7.7 MIN: 1.05 / MAX: 7.66 MIN: 0.97 / MAX: 7.7
Apache Spark TPC-H Scale Factor: 1 - Q01 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q01 a b c d 1.0904 2.1808 3.2712 4.3616 5.452 SE +/- 0.06902799, N = 4 SE +/- 0.05428360, N = 3 SE +/- 0.08250324, N = 3 4.69511843 4.73092079 4.84034109 4.84622987
Apache Spark TPC-H Scale Factor: 1 - Q02 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q02 a b c d 0.5127 1.0254 1.5381 2.0508 2.5635 SE +/- 0.05229177, N = 4 SE +/- 0.08231744, N = 3 SE +/- 0.07468701, N = 3 2.19916511 2.20726132 2.27846766 2.27512868
Apache Spark TPC-H Scale Factor: 1 - Q03 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q03 a b c d 0.7528 1.5056 2.2584 3.0112 3.764 SE +/- 0.03420168, N = 4 SE +/- 0.05826206, N = 3 SE +/- 0.04118145, N = 3 3.15890259 3.23912430 3.34556897 3.15447322
Apache Spark TPC-H Scale Factor: 1 - Q04 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q04 a b c d 0.6958 1.3916 2.0874 2.7832 3.479 SE +/- 0.02567628, N = 4 SE +/- 0.05472939, N = 3 SE +/- 0.09994253, N = 3 2.96026391 3.09257221 2.94428595 2.85856040
Apache Spark TPC-H Scale Factor: 1 - Q05 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q05 a b c d 0.7929 1.5858 2.3787 3.1716 3.9645 SE +/- 0.06297205, N = 4 SE +/- 0.08593638, N = 3 SE +/- 0.06648494, N = 3 3.46156806 3.37768650 3.52418653 3.30995369
Apache Spark TPC-H Scale Factor: 1 - Q06 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q06 a b c d 0.1707 0.3414 0.5121 0.6828 0.8535 SE +/- 0.03196645, N = 4 SE +/- 0.00867146, N = 3 SE +/- 0.01813313, N = 3 0.75870752 0.73223764 0.71082556 0.74262398
Apache Spark TPC-H Scale Factor: 1 - Q07 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q07 a b c d 0.7433 1.4866 2.2299 2.9732 3.7165 SE +/- 0.07379513, N = 4 SE +/- 0.13350733, N = 3 SE +/- 0.03596564, N = 3 3.16296500 3.30348134 3.18430217 3.25330043
Apache Spark TPC-H Scale Factor: 1 - Q08 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q08 a b c d 0.5305 1.061 1.5915 2.122 2.6525 SE +/- 0.02917526, N = 4 SE +/- 0.06735723, N = 3 SE +/- 0.07315965, N = 3 2.29091269 2.32780766 2.35779921 2.22529737
Apache Spark TPC-H Scale Factor: 1 - Q09 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q09 a b c d 1.0257 2.0514 3.0771 4.1028 5.1285 SE +/- 0.13363421, N = 4 SE +/- 0.11520840, N = 3 SE +/- 0.17668063, N = 3 4.40090740 4.51510048 4.32967218 4.55872504
Apache Spark TPC-H Scale Factor: 1 - Q10 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q10 a b c d 0.707 1.414 2.121 2.828 3.535 SE +/- 0.04789727, N = 4 SE +/- 0.03625533, N = 3 SE +/- 0.04198555, N = 3 2.83789939 3.07959628 3.02914357 3.14210590
Apache Spark TPC-H Scale Factor: 1 - Q11 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q11 a b c d 0.307 0.614 0.921 1.228 1.535 SE +/- 0.07929998, N = 4 SE +/- 0.15013623, N = 3 SE +/- 0.10958276, N = 3 1.30849856 1.36447799 1.28974267 1.29190469
Apache Spark TPC-H Scale Factor: 1 - Q12 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q12 a b c d 0.4837 0.9674 1.4511 1.9348 2.4185 SE +/- 0.15031140, N = 4 SE +/- 0.04470734, N = 3 SE +/- 0.02411619, N = 3 2.14987269 2.02941990 2.04039538 2.06954416
Apache Spark TPC-H Scale Factor: 1 - Q13 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q13 a b c d 0.3282 0.6564 0.9846 1.3128 1.641 SE +/- 0.03676867, N = 4 SE +/- 0.04981792, N = 3 SE +/- 0.02733553, N = 3 1.40058664 1.45866323 1.39991681 1.39225551
Apache Spark TPC-H Scale Factor: 1 - Q14 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q14 a b c d 0.4136 0.8272 1.2408 1.6544 2.068 SE +/- 0.03540160, N = 4 SE +/- 0.01014717, N = 3 SE +/- 0.02463739, N = 3 1.83231536 1.78157055 1.83836599 1.83219139
Apache Spark TPC-H Scale Factor: 1 - Q15 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q15 a b c d 0.5124 1.0248 1.5372 2.0496 2.562 SE +/- 0.04340326, N = 4 SE +/- 0.20579960, N = 3 SE +/- 0.09001964, N = 3 1.99491587 2.17460775 2.14363774 2.27715731
Apache Spark TPC-H Scale Factor: 1 - Q16 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q16 a b c d 0.3463 0.6926 1.0389 1.3852 1.7315 SE +/- 0.01144007, N = 4 SE +/- 0.05940937, N = 3 SE +/- 0.04799671, N = 3 1.42731291 1.43939853 1.49448760 1.53928820
Apache Spark TPC-H Scale Factor: 1 - Q17 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q17 a b c d 0.6126 1.2252 1.8378 2.4504 3.063 SE +/- 0.02035298, N = 4 SE +/- 0.01865956, N = 3 SE +/- 0.03392729, N = 3 2.66192222 2.72264194 2.58527072 2.57773050
Apache Spark TPC-H Scale Factor: 1 - Q18 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q18 a b c d 0.9103 1.8206 2.7309 3.6412 4.5515 SE +/- 0.10303949, N = 4 SE +/- 0.10019808, N = 3 SE +/- 0.13038086, N = 3 4.00372249 4.04589510 3.99324067 3.86921136
Apache Spark TPC-H Scale Factor: 1 - Q19 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q19 a b c d 0.2719 0.5438 0.8157 1.0876 1.3595 SE +/- 0.02636608, N = 4 SE +/- 0.07878807, N = 3 SE +/- 0.01874751, N = 3 1.02847038 1.17394590 1.20837911 0.99435820
Apache Spark TPC-H Scale Factor: 1 - Q20 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q20 a b c d 0.62 1.24 1.86 2.48 3.1 SE +/- 0.09583966, N = 4 SE +/- 0.13759046, N = 3 SE +/- 0.14206756, N = 3 2.75555176 2.58762598 2.75284823 2.74797662
Apache Spark TPC-H Scale Factor: 1 - Q21 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q21 a b c d 2 4 6 8 10 SE +/- 0.08062589, N = 4 SE +/- 0.11898636, N = 3 SE +/- 0.17170189, N = 3 7.39505470 7.70369244 7.46197589 7.40773551
Apache Spark TPC-H Scale Factor: 1 - Q22 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q22 a b c d 0.2441 0.4882 0.7323 0.9764 1.2205 SE +/- 0.00972834, N = 4 SE +/- 0.00495537, N = 3 SE +/- 0.01300436, N = 3 1.08502284 0.98886323 1.05880324 1.06113847
Apache Spark TPC-H Scale Factor: 10 - Geometric Mean Of All Queries OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Geometric Mean Of All Queries a b c d 2 4 6 8 10 SE +/- 0.00516651, N = 3 SE +/- 0.05385571, N = 3 SE +/- 0.01945474, N = 3 8.17090667 7.89399455 8.11142575 8.24567273 MIN: 3.42 / MAX: 29.75 MIN: 3.4 / MAX: 28.8 MIN: 3.43 / MAX: 29.17 MIN: 3.57 / MAX: 29.28
Apache Spark TPC-H Scale Factor: 10 - Q01 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q01 a b c d 2 4 6 8 10 SE +/- 0.07219277, N = 3 SE +/- 0.10886176, N = 3 SE +/- 0.05844458, N = 3 8.67833742 8.70151806 8.66681448 8.73231697
Apache Spark TPC-H Scale Factor: 10 - Q02 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q02 a b c d 1.109 2.218 3.327 4.436 5.545 SE +/- 0.02777661, N = 3 SE +/- 0.06191683, N = 3 SE +/- 0.02874460, N = 3 4.85099522 4.88495016 4.92897081 4.79437430
Apache Spark TPC-H Scale Factor: 10 - Q03 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q03 a b c d 3 6 9 12 15 SE +/- 0.28, N = 3 SE +/- 0.27, N = 3 SE +/- 0.00, N = 3 10.24 10.32 10.26 10.15
Apache Spark TPC-H Scale Factor: 10 - Q04 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q04 a b c d 2 4 6 8 10 SE +/- 0.24804165, N = 3 SE +/- 0.08517991, N = 3 SE +/- 0.07436974, N = 3 8.63682970 8.70809078 8.50457668 8.33958340
Apache Spark TPC-H Scale Factor: 10 - Q05 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q05 a b c d 3 6 9 12 15 SE +/- 0.23, N = 3 SE +/- 0.33, N = 3 SE +/- 0.18, N = 3 12.48 12.92 12.66 12.66
Apache Spark TPC-H Scale Factor: 10 - Q06 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q06 a b c d 1.0399 2.0798 3.1197 4.1596 5.1995 SE +/- 0.04431026, N = 3 SE +/- 0.01079337, N = 3 SE +/- 0.03080177, N = 3 4.40131362 4.62162924 4.30036068 4.36710962
Apache Spark TPC-H Scale Factor: 10 - Q07 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q07 a b c d 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 10.63 10.53 10.62 10.75
Apache Spark TPC-H Scale Factor: 10 - Q08 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q08 a b c d 3 6 9 12 15 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 10.99 10.67 10.85 10.82
Apache Spark TPC-H Scale Factor: 10 - Q09 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q09 a b c d 4 8 12 16 20 SE +/- 0.27, N = 3 SE +/- 0.07, N = 3 SE +/- 0.31, N = 3 14.90 14.18 14.82 14.92
Apache Spark TPC-H Scale Factor: 10 - Q10 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q10 a b c d 3 6 9 12 15 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 10.27 10.18 10.42 10.36
Apache Spark TPC-H Scale Factor: 10 - Q11 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q11 a b c d 1.0236 2.0472 3.0708 4.0944 5.118 SE +/- 0.03938644, N = 3 SE +/- 0.02158043, N = 3 SE +/- 0.00931035, N = 3 4.54931625 4.26761341 4.38963429 4.48057460
Apache Spark TPC-H Scale Factor: 10 - Q12 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q12 a b c d 2 4 6 8 10 SE +/- 0.04371011, N = 3 SE +/- 0.01728126, N = 3 SE +/- 0.05148904, N = 3 8.03465001 8.10859299 8.17116038 8.09419775
Apache Spark TPC-H Scale Factor: 10 - Q13 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q13 a b c d 1.038 2.076 3.114 4.152 5.19 SE +/- 0.30907989, N = 3 SE +/- 0.05603992, N = 3 SE +/- 0.25379241, N = 3 4.45708307 4.03698015 4.09777006 4.61340586
Apache Spark TPC-H Scale Factor: 10 - Q14 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q14 a b c d 1.3189 2.6378 3.9567 5.2756 6.5945 SE +/- 0.02725146, N = 3 SE +/- 0.02997105, N = 3 SE +/- 0.04489420, N = 3 5.79615275 5.82840872 5.86177413 5.73522472
Apache Spark TPC-H Scale Factor: 10 - Q15 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q15 a b c d 1.3175 2.635 3.9525 5.27 6.5875 SE +/- 0.03384145, N = 3 SE +/- 0.03487590, N = 3 SE +/- 0.04663640, N = 3 5.83709431 5.68089533 5.81021436 5.85565599
Apache Spark TPC-H Scale Factor: 10 - Q16 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q16 a b c d 0.9779 1.9558 2.9337 3.9116 4.8895 SE +/- 0.04048184, N = 3 SE +/- 0.08541494, N = 3 SE +/- 0.00250658, N = 3 4.32050626 4.15591764 4.17572975 4.34601260
Apache Spark TPC-H Scale Factor: 10 - Q17 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q17 a b c d 3 6 9 12 15 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 12.45 12.44 12.42 12.40
Apache Spark TPC-H Scale Factor: 10 - Q18 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q18 a b c d 4 8 12 16 20 SE +/- 0.12, N = 3 SE +/- 0.79, N = 3 SE +/- 0.10, N = 3 14.86 14.88 16.11 14.91
Apache Spark TPC-H Scale Factor: 10 - Q19 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q19 a b c d 2 4 6 8 10 SE +/- 0.61100502, N = 3 SE +/- 0.63365910, N = 3 SE +/- 0.02955483, N = 3 7.21627538 6.04250240 6.54328155 8.02795347
Apache Spark TPC-H Scale Factor: 10 - Q20 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q20 a b c d 2 4 6 8 10 SE +/- 0.06394497, N = 3 SE +/- 0.01360476, N = 3 SE +/- 0.08793082, N = 3 8.84160964 8.87663841 8.91217136 8.82452583
Apache Spark TPC-H Scale Factor: 10 - Q21 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q21 a b c d 7 14 21 28 35 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 29.31 28.80 29.03 28.91
Apache Spark TPC-H Scale Factor: 10 - Q22 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q22 a b c d 0.8324 1.6648 2.4972 3.3296 4.162 SE +/- 0.10541256, N = 3 SE +/- 0.18733559, N = 3 SE +/- 0.01543789, N = 3 3.53586213 3.40110779 3.69966158 3.59682607
Apache Spark TPC-H Scale Factor: 50 - Geometric Mean Of All Queries OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Geometric Mean Of All Queries a b c d 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 27.98 27.79 28.11 28.12 MIN: 8.84 / MAX: 131.32 MIN: 8.69 / MAX: 131.46 MIN: 8.58 / MAX: 132.82 MIN: 8.73 / MAX: 132.42
Apache Spark TPC-H Scale Factor: 50 - Q01 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q01 a b c d 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 26.02 25.99 26.00 26.12
Apache Spark TPC-H Scale Factor: 50 - Q02 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q02 a b c d 3 6 9 12 15 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 10.48 10.45 10.56 10.44
Apache Spark TPC-H Scale Factor: 50 - Q03 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q03 a b c d 9 18 27 36 45 SE +/- 0.49, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 36.61 36.03 37.06 35.99
Apache Spark TPC-H Scale Factor: 50 - Q04 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q04 a b c d 7 14 21 28 35 SE +/- 0.26, N = 3 SE +/- 0.12, N = 3 SE +/- 0.40, N = 3 30.58 30.27 30.22 30.56
Apache Spark TPC-H Scale Factor: 50 - Q05 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q05 a b c d 10 20 30 40 50 SE +/- 0.81, N = 3 SE +/- 1.29, N = 3 SE +/- 0.23, N = 3 41.17 43.25 39.70 38.99
Apache Spark TPC-H Scale Factor: 50 - Q06 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q06 a b c d 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 20.38 20.30 20.34 20.38
Apache Spark TPC-H Scale Factor: 50 - Q07 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q07 a b c d 8 16 24 32 40 SE +/- 0.46, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 35.63 35.34 35.46 35.40
Apache Spark TPC-H Scale Factor: 50 - Q08 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q08 a b c d 9 18 27 36 45 SE +/- 0.55, N = 3 SE +/- 0.08, N = 3 SE +/- 0.24, N = 3 38.36 37.97 37.81 38.38
Apache Spark TPC-H Scale Factor: 50 - Q09 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q09 a b c d 11 22 33 44 55 SE +/- 0.20, N = 3 SE +/- 0.54, N = 3 SE +/- 0.25, N = 3 46.90 46.32 47.11 47.00
Apache Spark TPC-H Scale Factor: 50 - Q10 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q10 a b c d 8 16 24 32 40 SE +/- 0.66, N = 3 SE +/- 0.34, N = 3 SE +/- 0.22, N = 3 35.93 36.27 36.82 35.93
Apache Spark TPC-H Scale Factor: 50 - Q11 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q11 a b c d 3 6 9 12 15 SE +/- 0.17117283, N = 3 SE +/- 0.09627546, N = 3 SE +/- 0.14619367, N = 3 9.06239065 8.69320774 8.75260639 9.01768939
Apache Spark TPC-H Scale Factor: 50 - Q12 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q12 a b c d 7 14 21 28 35 SE +/- 0.31, N = 3 SE +/- 0.47, N = 3 SE +/- 0.21, N = 3 30.43 30.41 30.89 30.04
Apache Spark TPC-H Scale Factor: 50 - Q13 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q13 a b c d 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.87, N = 3 SE +/- 0.76, N = 3 12.34 12.13 13.14 13.68
Apache Spark TPC-H Scale Factor: 50 - Q14 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q14 a b c d 6 12 18 24 30 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 25.49 25.40 25.46 25.42
Apache Spark TPC-H Scale Factor: 50 - Q15 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q15 a b c d 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 23.05 22.89 22.95 23.00
Apache Spark TPC-H Scale Factor: 50 - Q16 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q16 a b c d 3 6 9 12 15 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.47, N = 3 10.59 10.53 10.82 10.91
Apache Spark TPC-H Scale Factor: 50 - Q17 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q17 a b c d 12 24 36 48 60 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 SE +/- 0.55, N = 3 55.61 55.28 55.33 55.42
Apache Spark TPC-H Scale Factor: 50 - Q18 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q18 a b c d 14 28 42 56 70 SE +/- 0.41, N = 3 SE +/- 0.13, N = 3 SE +/- 0.54, N = 3 62.51 61.96 62.30 62.73
Apache Spark TPC-H Scale Factor: 50 - Q19 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q19 a b c d 6 12 18 24 30 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.24, N = 3 24.72 25.08 24.89 25.03
Apache Spark TPC-H Scale Factor: 50 - Q20 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q20 a b c d 7 14 21 28 35 SE +/- 0.07, N = 3 SE +/- 0.24, N = 3 SE +/- 0.01, N = 3 30.71 30.54 30.79 30.52
Apache Spark TPC-H Scale Factor: 50 - Q21 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q21 a b c d 30 60 90 120 150 SE +/- 0.28, N = 3 SE +/- 0.77, N = 3 SE +/- 0.96, N = 3 130.87 131.46 131.42 131.01
Apache Spark TPC-H Scale Factor: 50 - Q22 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 50 - Q22 a b c d 3 6 9 12 15 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 10.67 10.53 10.64 10.27
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 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b c d 9 18 27 36 45 SE +/- 0.52, N = 3 SE +/- 0.38, N = 6 SE +/- 0.36, N = 3 37.93 39.38 37.78 38.72
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 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b c d 200 400 600 800 1000 SE +/- 12.88, N = 3 SE +/- 8.13, N = 6 SE +/- 7.99, N = 3 836.92 806.39 841.34 820.12
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream a b c d 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 13.90 14.40 13.88 13.90
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream a b c d 16 32 48 64 80 SE +/- 0.30, N = 3 SE +/- 0.25, N = 3 SE +/- 0.18, N = 3 71.94 69.42 72.03 71.92
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 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 200 400 600 800 1000 SE +/- 3.44, N = 3 SE +/- 1.16, N = 3 SE +/- 1.17, N = 3 980.45 993.60 988.49 989.06
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 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 8 16 24 32 40 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 32.60 32.16 32.34 32.31
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 30 60 90 120 150 SE +/- 0.69, N = 3 SE +/- 1.51, N = 4 SE +/- 1.48, N = 5 129.70 131.17 132.10 134.40
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 2 4 6 8 10 SE +/- 0.0410, N = 3 SE +/- 0.0865, N = 4 SE +/- 0.0842, N = 5 7.7066 7.6192 7.5689 7.4402
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream a b c d 100 200 300 400 500 SE +/- 2.10, N = 3 SE +/- 1.47, N = 3 SE +/- 1.15, N = 3 441.44 450.81 445.16 441.39
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream a b c d 16 32 48 64 80 SE +/- 0.35, N = 3 SE +/- 0.24, N = 3 SE +/- 0.19, N = 3 72.42 70.94 71.81 72.46
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream a b c d 20 40 60 80 100 SE +/- 0.53, N = 3 SE +/- 0.15, N = 3 SE +/- 0.81, N = 3 103.56 106.93 106.03 103.98
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream a b c d 3 6 9 12 15 SE +/- 0.0493, N = 3 SE +/- 0.0132, N = 3 SE +/- 0.0758, N = 3 9.6462 9.3424 9.4215 9.6084
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 600 1200 1800 2400 3000 SE +/- 14.52, N = 3 SE +/- 12.01, N = 3 SE +/- 15.60, N = 3 2555.42 2635.57 2548.38 2543.11
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 12.49 12.11 12.52 12.55
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 140 280 420 560 700 SE +/- 2.01, N = 3 SE +/- 8.33, N = 3 SE +/- 1.41, N = 3 627.75 599.19 591.26 620.24
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 0.38 0.76 1.14 1.52 1.9 SE +/- 0.0051, N = 3 SE +/- 0.0240, N = 3 SE +/- 0.0037, N = 3 1.5897 1.6656 1.6887 1.6090
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b c d 50 100 150 200 250 SE +/- 1.28, N = 3 SE +/- 1.60, N = 3 SE +/- 1.27, N = 3 201.91 206.96 199.22 201.94
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b c d 40 80 120 160 200 SE +/- 0.94, N = 3 SE +/- 1.36, N = 3 SE +/- 1.02, N = 3 158.15 154.30 160.28 158.11
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream a b c d 20 40 60 80 100 SE +/- 0.58, N = 3 SE +/- 0.32, N = 3 SE +/- 0.19, N = 3 86.38 88.17 87.93 87.47
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream a b c d 3 6 9 12 15 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 11.56 11.33 11.36 11.42
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream a b c d 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 49.22 49.33 49.08 49.17
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream a b c d 140 280 420 560 700 SE +/- 0.29, N = 3 SE +/- 1.51, N = 3 SE +/- 1.27, N = 3 649.93 648.52 649.76 650.69
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream a b c d 3 6 9 12 15 SE +/- 0.07, N = 15 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 11.31 11.61 11.84 11.74
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream a b c d 20 40 60 80 100 SE +/- 0.60, N = 15 SE +/- 0.42, N = 3 SE +/- 0.61, N = 3 88.47 86.15 84.46 85.16
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b c d 100 200 300 400 500 SE +/- 1.01, N = 3 SE +/- 0.60, N = 3 SE +/- 1.54, N = 3 449.31 448.76 452.04 450.06
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b c d 16 32 48 64 80 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.25, N = 3 71.17 71.27 70.74 71.05
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream a b c d 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.34, N = 3 SE +/- 1.00, N = 3 106.44 106.54 107.10 104.29
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream a b c d 3 6 9 12 15 SE +/- 0.0142, N = 3 SE +/- 0.0294, N = 3 SE +/- 0.0916, N = 3 9.3853 9.3770 9.3277 9.5802
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 50 100 150 200 250 SE +/- 0.62, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 215.83 212.76 216.39 215.29
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 30 60 90 120 150 SE +/- 0.45, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 147.96 150.23 147.49 148.28
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 20 40 60 80 100 SE +/- 0.36, N = 3 SE +/- 0.17, N = 3 SE +/- 0.36, N = 3 91.14 89.80 91.16 89.59
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 10.96 11.13 10.96 11.15
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b c d 70 140 210 280 350 SE +/- 0.53, N = 3 SE +/- 0.44, N = 3 SE +/- 1.00, N = 3 336.19 337.08 337.78 335.10
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b c d 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.28, N = 3 95.02 94.88 94.68 95.45
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream a b c d 13 26 39 52 65 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 56.79 59.01 57.18 56.86
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream a b c d 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 17.60 16.94 17.48 17.58
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b c d 10 20 30 40 50 SE +/- 0.30, N = 3 SE +/- 0.28, N = 3 SE +/- 0.06, N = 3 43.19 43.84 43.05 43.06
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b c d 160 320 480 640 800 SE +/- 6.44, N = 3 SE +/- 4.42, N = 3 SE +/- 2.01, N = 3 736.77 726.25 737.98 737.85
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream a b c d 4 8 12 16 20 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 17.07 17.99 16.99 17.09
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream a b c d 13 26 39 52 65 SE +/- 0.38, N = 3 SE +/- 0.30, N = 3 SE +/- 0.11, N = 3 58.55 55.56 58.85 58.50
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 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 110 220 330 440 550 SE +/- 0.37, N = 3 SE +/- 0.45, N = 3 SE +/- 0.62, N = 3 503.41 508.59 506.13 504.84
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 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream a b c d 14 28 42 56 70 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 63.48 62.81 63.13 63.30
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 14 28 42 56 70 SE +/- 0.66, N = 3 SE +/- 0.51, N = 3 SE +/- 0.57, N = 3 64.71 64.40 64.12 64.08
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream a b c d 4 8 12 16 20 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 15.45 15.52 15.59 15.60
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 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b c d 9 18 27 36 45 SE +/- 0.10, N = 3 SE +/- 0.25, N = 3 SE +/- 0.10, N = 3 37.74 37.95 37.94 37.45
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 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b c d 200 400 600 800 1000 SE +/- 2.31, N = 3 SE +/- 6.31, N = 3 SE +/- 2.60, N = 3 841.43 837.46 837.14 845.44
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream a b c d 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 14.08 14.31 14.10 14.00
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream a b c d 16 32 48 64 80 SE +/- 0.43, N = 3 SE +/- 0.72, N = 3 SE +/- 0.16, N = 3 71.04 69.88 70.90 71.42
Phoronix Test Suite v10.8.5