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 deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-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 - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Stream spark-tpch: 10 - Geometric Mean Of All Queries 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, DistilBERT mnli - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - 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: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, 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 - 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: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream spark-tpch: 1 - Geometric Mean Of All Queries deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-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, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - 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: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream spark-tpch: 50 - Geometric Mean Of All Queries deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - 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 Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream 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: 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: 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 a b c d 1.5897 627.7539 58.5511 17.0745 88.4675 11.3088 8.17090667 836.9172 37.9294 17.5978 56.7902 201.9130 158.1544 71.9375 13.8987 2555.4232 12.4868 129.7041 7.7066 9.6462 103.5643 9.3853 106.4432 71.0390 14.0751 72.4193 441.4407 86.3769 11.5611 2.20328734 147.9620 43.1906 10.9635 91.1432 215.8297 736.7739 32.6019 980.4497 37.7351 27.97562823 63.4770 503.4132 841.4259 64.7072 15.4510 95.0151 336.1917 71.1719 449.3079 49.2180 649.9348 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 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 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 1.6656 599.1863 55.5621 17.9912 86.1505 11.6057 7.89399455 806.3928 39.3833 16.9355 59.0082 206.9627 154.3035 69.4174 14.4029 2635.5729 12.1095 131.167 7.6192 9.3424 106.9295 9.377 106.5387 69.8784 14.3078 70.9424 450.8062 88.165 11.3279 2.24531415 150.2259 43.8384 11.1265 89.8018 212.7552 726.2504 32.1567 993.6037 37.9456 27.78682893 62.8112 508.5902 837.4581 64.3985 15.522 94.8818 337.0821 71.2672 448.7603 49.3328 648.524 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 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 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 1.6887 591.2570 58.8526 16.9865 84.4587 11.8387 8.11142575 841.3435 37.7845 17.4779 57.1793 199.2162 160.2780 72.0273 13.8813 2548.3771 12.5199 132.1047 7.5689 9.4215 106.0333 9.3277 107.1042 70.8989 14.1048 71.8091 445.1623 87.9306 11.3576 2.23705911 147.4889 43.0454 10.9619 91.1565 216.3914 737.9777 32.3392 988.4905 37.9380 28.11219413 63.1295 506.1330 837.1418 64.1154 15.5926 94.6789 337.7813 70.7399 452.0401 49.0805 649.7550 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 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 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 1.6090 620.2412 58.5011 17.0878 85.1572 11.7423 8.24567273 820.1208 38.7188 17.5761 56.8599 201.9444 158.1065 71.9192 13.9020 2543.1138 12.5483 134.3975 7.4402 9.6084 103.9791 9.5802 104.2930 71.4165 13.9997 72.4572 441.3941 87.4654 11.4172 2.22356446 148.2827 43.0569 11.1539 89.5918 215.2909 737.8524 32.3108 989.0589 37.4534 28.12394226 63.2965 504.8420 845.4438 64.0842 15.6001 95.4458 335.0968 71.0506 450.0598 49.1687 650.6931 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 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 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 OpenBenchmarking.org
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: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream a d b c 0.38 0.76 1.14 1.52 1.9 SE +/- 0.0051, N = 3 SE +/- 0.0037, N = 3 SE +/- 0.0240, N = 3 1.5897 1.6090 1.6656 1.6887
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream a d b c 140 280 420 560 700 SE +/- 2.01, N = 3 SE +/- 1.41, N = 3 SE +/- 8.33, N = 3 627.75 620.24 599.19 591.26
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream b d a c 13 26 39 52 65 SE +/- 0.11, N = 3 SE +/- 0.38, N = 3 SE +/- 0.30, N = 3 55.56 58.50 58.55 58.85
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream b d a c 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 17.99 17.09 17.07 16.99
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream c d b a 20 40 60 80 100 SE +/- 0.42, N = 3 SE +/- 0.61, N = 3 SE +/- 0.60, N = 15 84.46 85.16 86.15 88.47
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream c d b a 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 15 11.84 11.74 11.61 11.31
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Geometric Mean Of All Queries b c a d 2 4 6 8 10 SE +/- 0.05385571, N = 3 SE +/- 0.00516651, N = 3 SE +/- 0.01945474, N = 3 7.89399455 8.11142575 8.17090667 8.24567273 MIN: 3.4 / MAX: 28.8 MIN: 3.43 / MAX: 29.17 MIN: 3.42 / MAX: 29.75 MIN: 3.57 / MAX: 29.28 10Q01
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q01 c a b d 2 4 6 8 10 SE +/- 0.10886176, N = 3 SE +/- 0.07219277, N = 3 SE +/- 0.05844458, N = 3 8.66681448 8.67833742 8.70151806 8.73231697 10Q02
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q02 d a b c 1.109 2.218 3.327 4.436 5.545 SE +/- 0.02874460, N = 3 SE +/- 0.02777661, N = 3 SE +/- 0.06191683, N = 3 4.79437430 4.85099522 4.88495016 4.92897081 10Q03
10Q04
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q04 d c a b 2 4 6 8 10 SE +/- 0.07436974, N = 3 SE +/- 0.08517991, N = 3 SE +/- 0.24804165, N = 3 8.33958340 8.50457668 8.63682970 8.70809078 10Q05
10Q06
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q06 c d a b 1.0399 2.0798 3.1197 4.1596 5.1995 SE +/- 0.01079337, N = 3 SE +/- 0.03080177, N = 3 SE +/- 0.04431026, N = 3 4.30036068 4.36710962 4.40131362 4.62162924 10Q07
10Q08
10Q09
10Q10
10Q11
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q11 b c d a 1.0236 2.0472 3.0708 4.0944 5.118 SE +/- 0.02158043, N = 3 SE +/- 0.00931035, N = 3 SE +/- 0.03938644, N = 3 4.26761341 4.38963429 4.48057460 4.54931625 10Q12
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q12 a d b c 2 4 6 8 10 SE +/- 0.04371011, N = 3 SE +/- 0.05148904, N = 3 SE +/- 0.01728126, N = 3 8.03465001 8.09419775 8.10859299 8.17116038 10Q13
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q13 b c a d 1.038 2.076 3.114 4.152 5.19 SE +/- 0.05603992, N = 3 SE +/- 0.30907989, N = 3 SE +/- 0.25379241, N = 3 4.03698015 4.09777006 4.45708307 4.61340586 10Q14
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q14 d a b c 1.3189 2.6378 3.9567 5.2756 6.5945 SE +/- 0.04489420, N = 3 SE +/- 0.02725146, N = 3 SE +/- 0.02997105, N = 3 5.73522472 5.79615275 5.82840872 5.86177413 10Q15
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q15 b c a d 1.3175 2.635 3.9525 5.27 6.5875 SE +/- 0.03487590, N = 3 SE +/- 0.03384145, N = 3 SE +/- 0.04663640, N = 3 5.68089533 5.81021436 5.83709431 5.85565599 10Q16
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q16 b c a d 0.9779 1.9558 2.9337 3.9116 4.8895 SE +/- 0.08541494, N = 3 SE +/- 0.04048184, N = 3 SE +/- 0.00250658, N = 3 4.15591764 4.17572975 4.32050626 4.34601260 10Q17
10Q18
10Q19
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q19 b c a d 2 4 6 8 10 SE +/- 0.63365910, N = 3 SE +/- 0.61100502, N = 3 SE +/- 0.02955483, N = 3 6.04250240 6.54328155 7.21627538 8.02795347 10Q20
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q20 d a b c 2 4 6 8 10 SE +/- 0.08793082, N = 3 SE +/- 0.06394497, N = 3 SE +/- 0.01360476, N = 3 8.82452583 8.84160964 8.87663841 8.91217136 10Q21
10Q22
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q22 b a d c 0.8324 1.6648 2.4972 3.3296 4.162 SE +/- 0.10541256, N = 3 SE +/- 0.01543789, N = 3 SE +/- 0.18733559, N = 3 3.40110779 3.53586213 3.59682607 3.69966158
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 Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream b d a c 200 400 600 800 1000 SE +/- 7.99, N = 3 SE +/- 12.88, N = 3 SE +/- 8.13, N = 6 806.39 820.12 836.92 841.34
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 b d a c 9 18 27 36 45 SE +/- 0.36, N = 3 SE +/- 0.52, N = 3 SE +/- 0.38, N = 6 39.38 38.72 37.93 37.78
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream b c d a 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 16.94 17.48 17.58 17.60
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream b c d a 13 26 39 52 65 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 59.01 57.18 56.86 56.79
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream b d a c 50 100 150 200 250 SE +/- 1.27, N = 3 SE +/- 1.28, N = 3 SE +/- 1.60, N = 3 206.96 201.94 201.91 199.22
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream b d a c 40 80 120 160 200 SE +/- 1.02, N = 3 SE +/- 0.94, N = 3 SE +/- 1.36, N = 3 154.30 158.11 158.15 160.28
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 b d a c 16 32 48 64 80 SE +/- 0.18, N = 3 SE +/- 0.30, N = 3 SE +/- 0.25, N = 3 69.42 71.92 71.94 72.03
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 b d a c 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 14.40 13.90 13.90 13.88
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream b a c d 600 1200 1800 2400 3000 SE +/- 14.52, N = 3 SE +/- 12.01, N = 3 SE +/- 15.60, N = 3 2635.57 2555.42 2548.38 2543.11
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 d c b a 30 60 90 120 150 SE +/- 1.48, N = 5 SE +/- 1.51, N = 4 SE +/- 0.69, N = 3 134.40 132.10 131.17 129.70
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 d c b a 2 4 6 8 10 SE +/- 0.0842, N = 5 SE +/- 0.0865, N = 4 SE +/- 0.0410, N = 3 7.4402 7.5689 7.6192 7.7066
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream c b a d 3 6 9 12 15 SE +/- 0.0294, N = 3 SE +/- 0.0142, N = 3 SE +/- 0.0916, N = 3 9.3277 9.3770 9.3853 9.5802
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream c b a d 20 40 60 80 100 SE +/- 0.34, N = 3 SE +/- 0.16, N = 3 SE +/- 1.00, N = 3 107.10 106.54 106.44 104.29
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream b c a d 16 32 48 64 80 SE +/- 0.72, N = 3 SE +/- 0.43, N = 3 SE +/- 0.16, N = 3 69.88 70.90 71.04 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 b c a d 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 14.31 14.10 14.08 14.00
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Geometric Mean Of All Queries a d c b 0.5052 1.0104 1.5156 2.0208 2.526 SE +/- 0.02461970, N = 4 SE +/- 0.02256519, N = 3 SE +/- 0.00573499, N = 3 2.20328734 2.22356446 2.23705911 2.24531415 MIN: 0.99 / MAX: 7.56 MIN: 0.97 / MAX: 7.7 MIN: 1.05 / MAX: 7.66 MIN: 0.99 / 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 d c 0.5127 1.0254 1.5381 2.0508 2.5635 SE +/- 0.05229177, N = 4 SE +/- 0.07468701, N = 3 SE +/- 0.08231744, N = 3 2.19916511 2.20726132 2.27512868 2.27846766 1Q03
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q03 d a b c 0.7528 1.5056 2.2584 3.0112 3.764 SE +/- 0.04118145, N = 3 SE +/- 0.03420168, N = 4 SE +/- 0.05826206, N = 3 3.15447322 3.15890259 3.23912430 3.34556897 1Q04
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q04 d c a b 0.6958 1.3916 2.0874 2.7832 3.479 SE +/- 0.09994253, N = 3 SE +/- 0.05472939, N = 3 SE +/- 0.02567628, N = 4 2.85856040 2.94428595 2.96026391 3.09257221 1Q05
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q05 d b a c 0.7929 1.5858 2.3787 3.1716 3.9645 SE +/- 0.06648494, N = 3 SE +/- 0.06297205, N = 4 SE +/- 0.08593638, N = 3 3.30995369 3.37768650 3.46156806 3.52418653 1Q06
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q06 c b d a 0.1707 0.3414 0.5121 0.6828 0.8535 SE +/- 0.00867146, N = 3 SE +/- 0.01813313, N = 3 SE +/- 0.03196645, N = 4 0.71082556 0.73223764 0.74262398 0.75870752 1Q07
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q07 a c d b 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 3.18430217 3.25330043 3.30348134 1Q08
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q08 d a b c 0.5305 1.061 1.5915 2.122 2.6525 SE +/- 0.07315965, N = 3 SE +/- 0.02917526, N = 4 SE +/- 0.06735723, N = 3 2.22529737 2.29091269 2.32780766 2.35779921 1Q09
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q09 c a b d 1.0257 2.0514 3.0771 4.1028 5.1285 SE +/- 0.11520840, N = 3 SE +/- 0.13363421, N = 4 SE +/- 0.17668063, N = 3 4.32967218 4.40090740 4.51510048 4.55872504 1Q10
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q10 a c b 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 3.02914357 3.07959628 3.14210590 1Q11
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q11 c d a b 0.307 0.614 0.921 1.228 1.535 SE +/- 0.15013623, N = 3 SE +/- 0.10958276, N = 3 SE +/- 0.07929998, N = 4 1.28974267 1.29190469 1.30849856 1.36447799 1Q12
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q12 b c d a 0.4837 0.9674 1.4511 1.9348 2.4185 SE +/- 0.04470734, N = 3 SE +/- 0.02411619, N = 3 SE +/- 0.15031140, N = 4 2.02941990 2.04039538 2.06954416 2.14987269 1Q13
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q13 d c a b 0.3282 0.6564 0.9846 1.3128 1.641 SE +/- 0.02733553, N = 3 SE +/- 0.04981792, N = 3 SE +/- 0.03676867, N = 4 1.39225551 1.39991681 1.40058664 1.45866323 1Q14
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q14 b d a c 0.4136 0.8272 1.2408 1.6544 2.068 SE +/- 0.02463739, N = 3 SE +/- 0.03540160, N = 4 SE +/- 0.01014717, N = 3 1.78157055 1.83219139 1.83231536 1.83836599 1Q15
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q15 a c b 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 2.14363774 2.17460775 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 d c a b 0.6126 1.2252 1.8378 2.4504 3.063 SE +/- 0.03392729, N = 3 SE +/- 0.01865956, N = 3 SE +/- 0.02035298, N = 4 2.57773050 2.58527072 2.66192222 2.72264194 1Q18
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q18 d c a b 0.9103 1.8206 2.7309 3.6412 4.5515 SE +/- 0.13038086, N = 3 SE +/- 0.10019808, N = 3 SE +/- 0.10303949, N = 4 3.86921136 3.99324067 4.00372249 4.04589510 1Q19
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q19 d a b c 0.2719 0.5438 0.8157 1.0876 1.3595 SE +/- 0.01874751, N = 3 SE +/- 0.02636608, N = 4 SE +/- 0.07878807, N = 3 0.99435820 1.02847038 1.17394590 1.20837911 1Q20
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q20 b d c a 0.62 1.24 1.86 2.48 3.1 SE +/- 0.14206756, N = 3 SE +/- 0.13759046, N = 3 SE +/- 0.09583966, N = 4 2.58762598 2.74797662 2.75284823 2.75555176 1Q21
1Q22
OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q22 b c d a 0.2441 0.4882 0.7323 0.9764 1.2205 SE +/- 0.00495537, N = 3 SE +/- 0.01300436, N = 3 SE +/- 0.00972834, N = 4 0.98886323 1.05880324 1.06113847 1.08502284
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: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream c a d b 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.45, N = 3 SE +/- 0.06, N = 3 147.49 147.96 148.28 150.23
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream b a d c 10 20 30 40 50 SE +/- 0.30, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 3 43.84 43.19 43.06 43.05
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream c a b d 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 10.96 10.96 11.13 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 c a b d 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.36, N = 3 SE +/- 0.36, N = 3 91.16 91.14 89.80 89.59
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream c a d b 50 100 150 200 250 SE +/- 0.14, N = 3 SE +/- 0.62, N = 3 SE +/- 0.09, N = 3 216.39 215.83 215.29 212.76
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream b a d c 160 320 480 640 800 SE +/- 6.44, N = 3 SE +/- 2.01, N = 3 SE +/- 4.42, N = 3 726.25 736.77 737.85 737.98
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 b d c a 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 32.16 32.31 32.34 32.60
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 b d c a 200 400 600 800 1000 SE +/- 1.17, N = 3 SE +/- 1.16, N = 3 SE +/- 3.44, N = 3 993.60 989.06 988.49 980.45
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream b c a d 9 18 27 36 45 SE +/- 0.25, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 37.95 37.94 37.74 37.45
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.
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, Sparse INT8 - Scenario: Asynchronous Multi-Stream b c d a 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 62.81 63.13 63.30 63.48
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream b c d a 110 220 330 440 550 SE +/- 0.45, N = 3 SE +/- 0.62, N = 3 SE +/- 0.37, N = 3 508.59 506.13 504.84 503.41
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream c b a d 200 400 600 800 1000 SE +/- 6.31, N = 3 SE +/- 2.31, N = 3 SE +/- 2.60, N = 3 837.14 837.46 841.43 845.44
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, 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 ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream c b a d 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.28, N = 3 94.68 94.88 95.02 95.45
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream c b a d 70 140 210 280 350 SE +/- 0.44, N = 3 SE +/- 0.53, N = 3 SE +/- 1.00, N = 3 337.78 337.08 336.19 335.10
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream c d a b 16 32 48 64 80 SE +/- 0.10, N = 3 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 70.74 71.05 71.17 71.27
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream c d a b 100 200 300 400 500 SE +/- 0.60, N = 3 SE +/- 1.54, N = 3 SE +/- 1.01, N = 3 452.04 450.06 449.31 448.76
OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream b a d c 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.26, N = 3 49.33 49.22 49.17 49.08
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream b c a d 140 280 420 560 700 SE +/- 1.51, N = 3 SE +/- 0.29, N = 3 SE +/- 1.27, N = 3 648.52 649.76 649.93 650.69
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.