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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2312122-PTS-SDFA911983 a Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107aJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
b c d Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
sdfa OpenBenchmarking.org Phoronix Test Suite 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 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution Sdfa Benchmarks System Logs - Transparent Huge Pages: madvise - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10) - Python 3.11.6 - 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
a b c d Result Overview Phoronix Test Suite 100% 108% 116% 125% 133% Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Apache Spark TPC-H Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Neural Magic DeepSparse Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H Apache Spark TPC-H R.5.S.I - S.S.S R.5.S.I - S.S.S C.S.9.P.Y.P - S.S.S C.S.9.P.Y.P - S.S.S B.L.N.Q.A - S.S.S B.L.N.Q.A - S.S.S 10 - G.M.O.A.Q N.D.C.o.b.u.o.I - A.M.S N.D.C.o.b.u.o.I - A.M.S N.T.C.D.m - S.S.S N.T.C.D.m - S.S.S C.D.Y.C - A.M.S C.D.Y.C - A.M.S N.D.C.o.b.u.o.I - S.S.S N.D.C.o.b.u.o.I - S.S.S R.5.S.I - A.M.S R.5.S.I - A.M.S N.T.C.B.b.u.S.S.I - S.S.S N.T.C.B.b.u.S.S.I - S.S.S R.5.B - S.S.S R.5.B - S.S.S 50 - Q22 50 - Q16 50 - Q13 50 - Q11 50 - Q05 50 - Q03 10 - Q22 10 - Q19 10 - Q18 10 - Q16 10 - Q15 10 - Q13 10 - Q11 10 - Q09 10 - Q08 10 - Q06 10 - Q05 10 - Q04 1 - Q22 1 - Q21 1 - Q20 1 - Q19 1 - Q18 1 - Q17 1 - Q16 1 - Q15 1 - Q14 1 - Q13 1 - Q12 1 - Q11 1 - Q10 1 - Q09 1 - Q08 1 - Q07 1 - Q06 1 - Q05 1 - Q04 1 - Q03 1 - Q02 1 - Q01
sdfa spark-tpch: 50 - Q22 spark-tpch: 50 - Q21 spark-tpch: 50 - Q20 spark-tpch: 50 - Q19 spark-tpch: 50 - Q18 spark-tpch: 50 - Q17 spark-tpch: 50 - Q16 spark-tpch: 50 - Q15 spark-tpch: 50 - Q14 spark-tpch: 50 - Q13 spark-tpch: 50 - Q12 spark-tpch: 50 - Q11 spark-tpch: 50 - Q10 spark-tpch: 50 - Q09 spark-tpch: 50 - Q08 spark-tpch: 50 - Q07 spark-tpch: 50 - Q06 spark-tpch: 50 - Q05 spark-tpch: 50 - Q04 spark-tpch: 50 - Q03 spark-tpch: 50 - Q02 spark-tpch: 50 - Q01 spark-tpch: 50 - Geometric Mean Of All Queries spark-tpch: 10 - Q22 spark-tpch: 10 - Q21 spark-tpch: 10 - Q20 spark-tpch: 10 - Q19 spark-tpch: 10 - Q18 spark-tpch: 10 - Q17 spark-tpch: 10 - Q16 spark-tpch: 10 - Q15 spark-tpch: 10 - Q14 spark-tpch: 10 - Q13 spark-tpch: 10 - Q12 spark-tpch: 10 - Q11 spark-tpch: 10 - Q10 spark-tpch: 10 - Q09 spark-tpch: 10 - Q08 spark-tpch: 10 - Q07 spark-tpch: 10 - Q06 spark-tpch: 10 - Q05 spark-tpch: 10 - Q04 spark-tpch: 10 - Q03 spark-tpch: 10 - Q02 spark-tpch: 10 - Q01 spark-tpch: 10 - Geometric Mean Of All Queries deepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream spark-tpch: 1 - Q22 spark-tpch: 1 - Q21 spark-tpch: 1 - Q20 spark-tpch: 1 - Q19 spark-tpch: 1 - Q18 spark-tpch: 1 - Q17 spark-tpch: 1 - Q16 spark-tpch: 1 - Q15 spark-tpch: 1 - Q14 spark-tpch: 1 - Q13 spark-tpch: 1 - Q12 spark-tpch: 1 - Q11 spark-tpch: 1 - Q10 spark-tpch: 1 - Q09 spark-tpch: 1 - Q08 spark-tpch: 1 - Q07 spark-tpch: 1 - Q06 spark-tpch: 1 - Q05 spark-tpch: 1 - Q04 spark-tpch: 1 - Q03 spark-tpch: 1 - Q02 spark-tpch: 1 - Q01 spark-tpch: 1 - Geometric Mean Of All Queries 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: 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 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: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - 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 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 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: 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 Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO, 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, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-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: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream spark-tpch: 100 a b c d 10.67486382 130.86564128 30.70769501 24.71872266 62.50857417 55.60917791 10.58654118 23.04547437 25.48705292 12.33711910 30.43039259 9.06239065 35.92603938 46.89715449 38.35942205 35.63054784 20.38117282 41.16542689 30.58487765 36.61449941 10.48352242 26.02234904 27.97562823 3.53586213 29.31493378 8.84160964 7.21627538 14.86223253 12.45044740 4.32050626 5.83709431 5.79615275 4.45708307 8.03465001 4.54931625 10.26555188 14.89943695 10.99399408 10.63118744 4.40131362 12.47607358 8.63682970 10.24406719 4.85099522 8.67833742 8.17090667 88.4675 11.3088 15.4510 64.7072 649.9348 49.2180 1.08502284 7.39505470 2.75555176 1.02847038 4.00372249 2.66192222 1.42731291 1.99491587 1.83231536 1.40058664 2.14987269 1.30849856 2.83789939 4.40090740 2.29091269 3.16296500 0.75870752 3.46156806 2.96026391 3.15890259 2.19916511 4.69511843 2.20328734 7.7066 129.7041 836.9172 37.9294 32.6019 980.4497 63.4770 503.4132 71.9375 13.8987 841.4259 37.7351 71.0390 14.0751 736.7739 43.1906 58.5511 17.0745 95.0151 336.1917 17.5978 56.7902 11.5611 86.3769 10.9635 91.1432 158.1544 201.9130 147.9620 215.8297 12.4868 2555.4232 72.4193 441.4407 9.6462 103.5643 9.3853 106.4432 71.1719 449.3079 1.5897 627.7539 10.52690792 131.45526123 30.53813362 25.07553101 61.9550209 55.27999115 10.53230286 22.88924599 25.39692879 12.13110542 30.40716553 8.69320774 36.27207947 46.31754303 37.97156906 35.34214783 20.29723358 43.25001144 30.26870918 36.02916718 10.45031643 25.99035454 27.78682893 3.40110779 28.79863548 8.87663841 6.0425024 14.87680531 12.44107723 4.15591764 5.68089533 5.82840872 4.03698015 8.10859299 4.26761341 10.18445492 14.1802969 10.67045593 10.531744 4.62162924 12.91888523 8.70809078 10.32122612 4.88495016 8.70151806 7.89399455 86.1505 11.6057 15.522 64.3985 648.524 49.3328 0.98886323 7.70369244 2.58762598 1.1739459 4.0458951 2.72264194 1.43939853 2.17460775 1.78157055 1.45866323 2.0294199 1.36447799 3.07959628 4.51510048 2.32780766 3.30348134 0.73223764 3.3776865 3.09257221 3.2391243 2.20726132 4.73092079 2.24531415 7.6192 131.167 806.3928 39.3833 32.1567 993.6037 62.8112 508.5902 69.4174 14.4029 837.4581 37.9456 69.8784 14.3078 726.2504 43.8384 55.5621 17.9912 94.8818 337.0821 16.9355 59.0082 11.3279 88.165 11.1265 89.8018 154.3035 206.9627 150.2259 212.7552 12.1095 2635.5729 70.9424 450.8062 9.3424 106.9295 9.377 106.5387 71.2672 448.7603 1.6656 599.1863 10.63667170 131.42175293 30.78961944 24.89447530 62.29955419 55.33429082 10.82443651 22.94638952 25.45622126 13.13648542 30.88582865 8.75260639 36.82142385 47.10843913 37.80742772 35.45530701 20.34083811 39.70042801 30.22341601 37.05844625 10.56094869 26.00166639 28.11219413 3.69966158 29.03367678 8.91217136 6.54328155 16.11452039 12.41860390 4.17572975 5.81021436 5.86177413 4.09777006 8.17116038 4.38963429 10.41971207 14.81898117 10.85271359 10.62009271 4.30036068 12.66337935 8.50457668 10.26445103 4.92897081 8.66681448 8.11142575 84.4587 11.8387 15.5926 64.1154 649.7550 49.0805 1.05880324 7.46197589 2.75284823 1.20837911 3.99324067 2.58527072 1.49448760 2.14363774 1.83836599 1.39991681 2.04039538 1.28974267 3.02914357 4.32967218 2.35779921 3.18430217 0.71082556 3.52418653 2.94428595 3.34556897 2.27846766 4.84034109 2.23705911 7.5689 132.1047 841.3435 37.7845 32.3392 988.4905 63.1295 506.1330 72.0273 13.8813 837.1418 37.9380 70.8989 14.1048 737.9777 43.0454 58.8526 16.9865 94.6789 337.7813 17.4779 57.1793 11.3576 87.9306 10.9619 91.1565 160.2780 199.2162 147.4889 216.3914 12.5199 2548.3771 71.8091 445.1623 9.4215 106.0333 9.3277 107.1042 70.7399 452.0401 1.6887 591.2570 10.26505438 131.00612386 30.51781400 25.02892049 62.73364003 55.42181269 10.91404247 23.00236766 25.42378616 13.68457921 30.04180272 9.01768939 35.92824809 46.99718602 38.38075257 35.40038427 20.38204702 38.99460093 30.55707931 35.99200439 10.44357236 26.11903827 28.12394226 3.59682607 28.90806135 8.82452583 8.02795347 14.91129049 12.40058359 4.34601260 5.85565599 5.73522472 4.61340586 8.09419775 4.48057460 10.35872300 14.92097505 10.81727695 10.74541600 4.36710962 12.65661907 8.33958340 10.15224552 4.79437430 8.73231697 8.24567273 85.1572 11.7423 15.6001 64.0842 650.6931 49.1687 1.06113847 7.40773551 2.74797662 0.99435820 3.86921136 2.57773050 1.53928820 2.27715731 1.83219139 1.39225551 2.06954416 1.29190469 3.14210590 4.55872504 2.22529737 3.25330043 0.74262398 3.30995369 2.85856040 3.15447322 2.27512868 4.84622987 2.22356446 7.4402 134.3975 820.1208 38.7188 32.3108 989.0589 63.2965 504.8420 71.9192 13.9020 845.4438 37.4534 71.4165 13.9997 737.8524 43.0569 58.5011 17.0878 95.4458 335.0968 17.5761 56.8599 11.4172 87.4654 11.1539 89.5918 158.1065 201.9444 148.2827 215.2909 12.5483 2543.1138 72.4572 441.3941 9.6084 103.9791 9.5802 104.2930 71.0506 450.0598 1.6090 620.2412 OpenBenchmarking.org
Apache Spark TPC-H This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Result
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 10Q01
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 10Q02
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 10Q03
10Q04
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 10Q05
10Q06
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 10Q07
10Q08
10Q09
10Q10
10Q11
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 10Q12
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 10Q13
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 10Q14
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 10Q15
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 10Q16
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 10Q17
10Q18
10Q19
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 10Q20
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 10Q21
10Q22
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
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
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
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
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
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
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
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
Apache Spark TPC-H This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Result
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 1Q01
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 1Q02
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 1Q03
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 1Q04
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 1Q05
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 1Q06
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 1Q07
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 1Q08
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 1Q09
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 1Q10
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 1Q11
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 1Q12
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 1Q13
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 1Q14
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 1Q15
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 1Q16
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 1Q17
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 1Q18
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 1Q19
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 1Q20
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 1Q21
1Q22
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
Neural Magic DeepSparse This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Apache Spark TPC-H This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.
Scale Factor: 100
a: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device
b: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device
c: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device
d: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device
a Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107aJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 11 December 2023 22:18 by user pts.
b Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107aJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 12 December 2023 01:08 by user pts.
c Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107aJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 12 December 2023 02:31 by user pts.
d Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107aJava Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Notes: Python 3.11.6Security Notes: 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
Testing initiated at 12 December 2023 10:46 by user pts.