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
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a
December 11 2023
  22 Hours, 44 Minutes
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December 12 2023
  7 Hours, 14 Minutes
c
December 12 2023
  21 Hours, 52 Minutes
d
December 12 2023
  21 Hours, 47 Minutes
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  18 Hours, 24 Minutes

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sdfaOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS)AMD Starship/Matisse128GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Ubuntu 23.106.5.0-13-generic (x86_64)GNOME Shell 45.0X Server + Wayland4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54)GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionSdfa BenchmarksSystem 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

abcdResult OverviewPhoronix Test Suite100%108%116%125%133%Neural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseApache Spark TPC-HNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HR.5.S.I - S.S.SR.5.S.I - S.S.SC.S.9.P.Y.P - S.S.SC.S.9.P.Y.P - S.S.SB.L.N.Q.A - S.S.SB.L.N.Q.A - S.S.S10 - G.M.O.A.QN.D.C.o.b.u.o.I - A.M.SN.D.C.o.b.u.o.I - A.M.SN.T.C.D.m - S.S.SN.T.C.D.m - S.S.SC.D.Y.C - A.M.SC.D.Y.C - A.M.SN.D.C.o.b.u.o.I - S.S.SN.D.C.o.b.u.o.I - S.S.SR.5.S.I - A.M.SR.5.S.I - A.M.SN.T.C.B.b.u.S.S.I - S.S.SN.T.C.B.b.u.S.S.I - S.S.SR.5.B - S.S.SR.5.B - S.S.S50 - Q2250 - Q1650 - Q1350 - Q1150 - Q0550 - Q0310 - Q2210 - Q1910 - Q1810 - Q1610 - Q1510 - Q1310 - Q1110 - Q0910 - Q0810 - Q0610 - Q0510 - Q041 - Q221 - Q211 - Q201 - Q191 - Q181 - Q171 - Q161 - Q151 - Q141 - Q131 - Q121 - Q111 - Q101 - Q091 - Q081 - Q071 - Q061 - Q051 - Q041 - Q031 - Q021 - Q01

sdfaspark-tpch: 50 - Q22spark-tpch: 50 - Q21spark-tpch: 50 - Q20spark-tpch: 50 - Q19spark-tpch: 50 - Q18spark-tpch: 50 - Q17spark-tpch: 50 - Q16spark-tpch: 50 - Q15spark-tpch: 50 - Q14spark-tpch: 50 - Q13spark-tpch: 50 - Q12spark-tpch: 50 - Q11spark-tpch: 50 - Q10spark-tpch: 50 - Q09spark-tpch: 50 - Q08spark-tpch: 50 - Q07spark-tpch: 50 - Q06spark-tpch: 50 - Q05spark-tpch: 50 - Q04spark-tpch: 50 - Q03spark-tpch: 50 - Q02spark-tpch: 50 - Q01spark-tpch: 50 - Geometric Mean Of All Queriesspark-tpch: 10 - Q22spark-tpch: 10 - Q21spark-tpch: 10 - Q20spark-tpch: 10 - Q19spark-tpch: 10 - Q18spark-tpch: 10 - Q17spark-tpch: 10 - Q16spark-tpch: 10 - Q15spark-tpch: 10 - Q14spark-tpch: 10 - Q13spark-tpch: 10 - Q12spark-tpch: 10 - Q11spark-tpch: 10 - Q10spark-tpch: 10 - Q09spark-tpch: 10 - Q08spark-tpch: 10 - Q07spark-tpch: 10 - Q06spark-tpch: 10 - Q05spark-tpch: 10 - Q04spark-tpch: 10 - Q03spark-tpch: 10 - Q02spark-tpch: 10 - Q01spark-tpch: 10 - Geometric Mean Of All Queriesdeepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamspark-tpch: 1 - Q22spark-tpch: 1 - Q21spark-tpch: 1 - Q20spark-tpch: 1 - Q19spark-tpch: 1 - Q18spark-tpch: 1 - Q17spark-tpch: 1 - Q16spark-tpch: 1 - Q15spark-tpch: 1 - Q14spark-tpch: 1 - Q13spark-tpch: 1 - Q12spark-tpch: 1 - Q11spark-tpch: 1 - Q10spark-tpch: 1 - Q09spark-tpch: 1 - Q08spark-tpch: 1 - Q07spark-tpch: 1 - Q06spark-tpch: 1 - Q05spark-tpch: 1 - Q04spark-tpch: 1 - Q03spark-tpch: 1 - Q02spark-tpch: 1 - Q01spark-tpch: 1 - Geometric Mean Of All Queriesdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamspark-tpch: 100abcd10.67486382130.8656412830.7076950124.7187226662.5085741755.6091779110.5865411823.0454743725.4870529212.3371191030.430392599.0623906535.9260393846.8971544938.3594220535.6305478420.3811728241.1654268930.5848776536.6144994110.4835224226.0223490427.975628233.5358621329.314933788.841609647.2162753814.8622325312.450447404.320506265.837094315.796152754.457083078.034650014.5493162510.2655518814.8994369510.9939940810.631187444.4013136212.476073588.6368297010.244067194.850995228.678337428.1709066788.467511.308815.451064.7072649.934849.21801.085022847.395054702.755551761.028470384.003722492.661922221.427312911.994915871.832315361.400586642.149872691.308498562.837899394.400907402.290912693.162965000.758707523.461568062.960263913.158902592.199165114.695118432.203287347.7066129.7041836.917237.929432.6019980.449763.4770503.413271.937513.8987841.425937.735171.039014.0751736.773943.190658.551117.074595.0151336.191717.597856.790211.561186.376910.963591.1432158.1544201.9130147.9620215.829712.48682555.423272.4193441.44079.6462103.56439.3853106.443271.1719449.30791.5897627.753910.52690792131.4552612330.5381336225.0755310161.955020955.2799911510.5323028622.8892459925.3969287912.1311054230.407165538.6932077436.2720794746.3175430337.9715690635.3421478320.2972335843.2500114430.2687091836.0291671810.4503164325.9903545427.786828933.4011077928.798635488.876638416.042502414.8768053112.441077234.155917645.680895335.828408724.036980158.108592994.2676134110.1844549214.180296910.6704559310.5317444.6216292412.918885238.7080907810.321226124.884950168.701518067.8939945586.150511.605715.52264.3985648.52449.33280.988863237.703692442.587625981.17394594.04589512.722641941.439398532.174607751.781570551.458663232.02941991.364477993.079596284.515100482.327807663.303481340.732237643.37768653.092572213.23912432.207261324.730920792.245314157.6192131.167806.392839.383332.1567993.603762.8112508.590269.417414.4029837.458137.945669.878414.3078726.250443.838455.562117.991294.8818337.082116.935559.008211.327988.16511.126589.8018154.3035206.9627150.2259212.755212.10952635.572970.9424450.80629.3424106.92959.377106.538771.2672448.76031.6656599.186310.63667170131.4217529330.7896194424.8944753062.2995541955.3342908210.8244365122.9463895225.4562212613.1364854230.885828658.7526063936.8214238547.1084391337.8074277235.4553070120.3408381139.7004280130.2234160137.0584462510.5609486926.0016663928.112194133.6996615829.033676788.912171366.5432815516.1145203912.418603904.175729755.810214365.861774134.097770068.171160384.3896342910.4197120714.8189811710.8527135910.620092714.3003606812.663379358.5045766810.264451034.928970818.666814488.1114257584.458711.838715.592664.1154649.755049.08051.058803247.461975892.752848231.208379113.993240672.585270721.494487602.143637741.838365991.399916812.040395381.289742673.029143574.329672182.357799213.184302170.710825563.524186532.944285953.345568972.278467664.840341092.237059117.5689132.1047841.343537.784532.3392988.490563.1295506.133072.027313.8813837.141837.938070.898914.1048737.977743.045458.852616.986594.6789337.781317.477957.179311.357687.930610.961991.1565160.2780199.2162147.4889216.391412.51992548.377171.8091445.16239.4215106.03339.3277107.104270.7399452.04011.6887591.257010.26505438131.0061238630.5178140025.0289204962.7336400355.4218126910.9140424723.0023676625.4237861613.6845792130.041802729.0176893935.9282480946.9971860238.3807525735.4003842720.3820470238.9946009330.5570793135.9920043910.4435723626.1190382728.123942263.5968260728.908061358.824525838.0279534714.9112904912.400583594.346012605.855655995.735224724.613405868.094197754.4805746010.3587230014.9209750510.8172769510.745416004.3671096212.656619078.3395834010.152245524.794374308.732316978.2456727385.157211.742315.600164.0842650.693149.16871.061138477.407735512.747976620.994358203.869211362.577730501.539288202.277157311.832191391.392255512.069544161.291904693.142105904.558725042.225297373.253300430.742623983.309953692.858560403.154473222.275128684.846229872.223564467.4402134.3975820.120838.718832.3108989.058963.2965504.842071.919213.9020845.443837.453471.416513.9997737.852443.056958.501117.087895.4458335.096817.576156.859911.417287.465411.153989.5918158.1065201.9444148.2827215.290912.54832543.113872.4572441.39419.6084103.97919.5802104.293071.0506450.05981.6090620.2412OpenBenchmarking.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.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q22abcd3691215SE +/- 0.26, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 310.6710.5310.6410.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q21abcd306090120150SE +/- 0.28, N = 3SE +/- 0.77, N = 3SE +/- 0.96, N = 3130.87131.46131.42131.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q20abcd714212835SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.01, N = 330.7130.5430.7930.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q19abcd612182430SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 324.7225.0824.8925.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q18abcd1428425670SE +/- 0.41, N = 3SE +/- 0.13, N = 3SE +/- 0.54, N = 362.5161.9662.3062.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q17abcd1224364860SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.55, N = 355.6155.2855.3355.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q16abcd3691215SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 310.5910.5310.8210.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q15abcd612182430SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 323.0522.8922.9523.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q14abcd612182430SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 325.4925.4025.4625.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q13abcd48121620SE +/- 0.04, N = 3SE +/- 0.87, N = 3SE +/- 0.76, N = 312.3412.1313.1413.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q12abcd714212835SE +/- 0.31, N = 3SE +/- 0.47, N = 3SE +/- 0.21, N = 330.4330.4130.8930.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q11abcd3691215SE +/- 0.17117283, N = 3SE +/- 0.09627546, N = 3SE +/- 0.14619367, N = 39.062390658.693207748.752606399.01768939

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q10abcd816243240SE +/- 0.66, N = 3SE +/- 0.34, N = 3SE +/- 0.22, N = 335.9336.2736.8235.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q09abcd1122334455SE +/- 0.20, N = 3SE +/- 0.54, N = 3SE +/- 0.25, N = 346.9046.3247.1147.00

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q08abcd918273645SE +/- 0.55, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 338.3637.9737.8138.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q07abcd816243240SE +/- 0.46, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 335.6335.3435.4635.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q06abcd510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 320.3820.3020.3420.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q05abcd1020304050SE +/- 0.81, N = 3SE +/- 1.29, N = 3SE +/- 0.23, N = 341.1743.2539.7038.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q04abcd714212835SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.40, N = 330.5830.2730.2230.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q03abcd918273645SE +/- 0.49, N = 3SE +/- 0.13, N = 3SE +/- 0.42, N = 336.6136.0337.0635.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q02abcd3691215SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 310.4810.4510.5610.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q01abcd612182430SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 326.0225.9926.0026.12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Geometric Mean Of All Queriesabcd714212835SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 327.9827.7928.1128.12MIN: 8.84 / MAX: 131.32MIN: 8.69 / MAX: 131.46MIN: 8.58 / MAX: 132.82MIN: 8.73 / MAX: 132.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q22abcd0.83241.66482.49723.32964.162SE +/- 0.10541256, N = 3SE +/- 0.18733559, N = 3SE +/- 0.01543789, N = 33.535862133.401107793.699661583.59682607

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21abcd714212835SE +/- 0.25, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 329.3128.8029.0328.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20abcd246810SE +/- 0.06394497, N = 3SE +/- 0.01360476, N = 3SE +/- 0.08793082, N = 38.841609648.876638418.912171368.82452583

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19abcd246810SE +/- 0.61100502, N = 3SE +/- 0.63365910, N = 3SE +/- 0.02955483, N = 37.216275386.042502406.543281558.02795347

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18abcd48121620SE +/- 0.12, N = 3SE +/- 0.79, N = 3SE +/- 0.10, N = 314.8614.8816.1114.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17abcd3691215SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 312.4512.4412.4212.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16abcd0.97791.95582.93373.91164.8895SE +/- 0.04048184, N = 3SE +/- 0.08541494, N = 3SE +/- 0.00250658, N = 34.320506264.155917644.175729754.34601260

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15abcd1.31752.6353.95255.276.5875SE +/- 0.03384145, N = 3SE +/- 0.03487590, N = 3SE +/- 0.04663640, N = 35.837094315.680895335.810214365.85565599

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14abcd1.31892.63783.95675.27566.5945SE +/- 0.02725146, N = 3SE +/- 0.02997105, N = 3SE +/- 0.04489420, N = 35.796152755.828408725.861774135.73522472

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13abcd1.0382.0763.1144.1525.19SE +/- 0.30907989, N = 3SE +/- 0.05603992, N = 3SE +/- 0.25379241, N = 34.457083074.036980154.097770064.61340586

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12abcd246810SE +/- 0.04371011, N = 3SE +/- 0.01728126, N = 3SE +/- 0.05148904, N = 38.034650018.108592998.171160388.09419775

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11abcd1.02362.04723.07084.09445.118SE +/- 0.03938644, N = 3SE +/- 0.02158043, N = 3SE +/- 0.00931035, N = 34.549316254.267613414.389634294.48057460

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10abcd3691215SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 310.2710.1810.4210.36

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09abcd48121620SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.31, N = 314.9014.1814.8214.92

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08abcd3691215SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 310.9910.6710.8510.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07abcd3691215SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 310.6310.5310.6210.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06abcd1.03992.07983.11974.15965.1995SE +/- 0.04431026, N = 3SE +/- 0.01079337, N = 3SE +/- 0.03080177, N = 34.401313624.621629244.300360684.36710962

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05abcd3691215SE +/- 0.23, N = 3SE +/- 0.33, N = 3SE +/- 0.18, N = 312.4812.9212.6612.66

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04abcd246810SE +/- 0.24804165, N = 3SE +/- 0.08517991, N = 3SE +/- 0.07436974, N = 38.636829708.708090788.504576688.33958340

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03abcd3691215SE +/- 0.28, N = 3SE +/- 0.27, N = 3SE +/- 0.00, N = 310.2410.3210.2610.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02abcd1.1092.2183.3274.4365.545SE +/- 0.02777661, N = 3SE +/- 0.06191683, N = 3SE +/- 0.02874460, N = 34.850995224.884950164.928970814.79437430

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01abcd246810SE +/- 0.07219277, N = 3SE +/- 0.10886176, N = 3SE +/- 0.05844458, N = 38.678337428.701518068.666814488.73231697

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All Queriesabcd246810SE +/- 0.00516651, N = 3SE +/- 0.05385571, N = 3SE +/- 0.01945474, N = 38.170906677.893994558.111425758.24567273MIN: 3.42 / MAX: 29.75MIN: 3.4 / MAX: 28.8MIN: 3.43 / MAX: 29.17MIN: 3.57 / MAX: 29.28

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streamabcd20406080100SE +/- 0.60, N = 15SE +/- 0.42, N = 3SE +/- 0.61, N = 388.4786.1584.4685.16

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streamabcd3691215SE +/- 0.07, N = 15SE +/- 0.06, N = 3SE +/- 0.08, N = 311.3111.6111.8411.74

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamabcd48121620SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 315.4515.5215.5915.60

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamabcd1428425670SE +/- 0.66, N = 3SE +/- 0.51, N = 3SE +/- 0.57, N = 364.7164.4064.1264.08

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamabcd140280420560700SE +/- 0.29, N = 3SE +/- 1.51, N = 3SE +/- 1.27, N = 3649.93648.52649.76650.69

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamabcd1122334455SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 349.2249.3349.0849.17

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.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q22abcd0.24410.48820.73230.97641.2205SE +/- 0.00972834, N = 4SE +/- 0.00495537, N = 3SE +/- 0.01300436, N = 31.085022840.988863231.058803241.06113847

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21abcd246810SE +/- 0.08062589, N = 4SE +/- 0.11898636, N = 3SE +/- 0.17170189, N = 37.395054707.703692447.461975897.40773551

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20abcd0.621.241.862.483.1SE +/- 0.09583966, N = 4SE +/- 0.13759046, N = 3SE +/- 0.14206756, N = 32.755551762.587625982.752848232.74797662

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19abcd0.27190.54380.81571.08761.3595SE +/- 0.02636608, N = 4SE +/- 0.07878807, N = 3SE +/- 0.01874751, N = 31.028470381.173945901.208379110.99435820

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18abcd0.91031.82062.73093.64124.5515SE +/- 0.10303949, N = 4SE +/- 0.10019808, N = 3SE +/- 0.13038086, N = 34.003722494.045895103.993240673.86921136

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17abcd0.61261.22521.83782.45043.063SE +/- 0.02035298, N = 4SE +/- 0.01865956, N = 3SE +/- 0.03392729, N = 32.661922222.722641942.585270722.57773050

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16abcd0.34630.69261.03891.38521.7315SE +/- 0.01144007, N = 4SE +/- 0.05940937, N = 3SE +/- 0.04799671, N = 31.427312911.439398531.494487601.53928820

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15abcd0.51241.02481.53722.04962.562SE +/- 0.04340326, N = 4SE +/- 0.20579960, N = 3SE +/- 0.09001964, N = 31.994915872.174607752.143637742.27715731

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14abcd0.41360.82721.24081.65442.068SE +/- 0.03540160, N = 4SE +/- 0.01014717, N = 3SE +/- 0.02463739, N = 31.832315361.781570551.838365991.83219139

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13abcd0.32820.65640.98461.31281.641SE +/- 0.03676867, N = 4SE +/- 0.04981792, N = 3SE +/- 0.02733553, N = 31.400586641.458663231.399916811.39225551

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12abcd0.48370.96741.45111.93482.4185SE +/- 0.15031140, N = 4SE +/- 0.04470734, N = 3SE +/- 0.02411619, N = 32.149872692.029419902.040395382.06954416

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11abcd0.3070.6140.9211.2281.535SE +/- 0.07929998, N = 4SE +/- 0.15013623, N = 3SE +/- 0.10958276, N = 31.308498561.364477991.289742671.29190469

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10abcd0.7071.4142.1212.8283.535SE +/- 0.04789727, N = 4SE +/- 0.03625533, N = 3SE +/- 0.04198555, N = 32.837899393.079596283.029143573.14210590

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09abcd1.02572.05143.07714.10285.1285SE +/- 0.13363421, N = 4SE +/- 0.11520840, N = 3SE +/- 0.17668063, N = 34.400907404.515100484.329672184.55872504

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08abcd0.53051.0611.59152.1222.6525SE +/- 0.02917526, N = 4SE +/- 0.06735723, N = 3SE +/- 0.07315965, N = 32.290912692.327807662.357799212.22529737

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07abcd0.74331.48662.22992.97323.7165SE +/- 0.07379513, N = 4SE +/- 0.13350733, N = 3SE +/- 0.03596564, N = 33.162965003.303481343.184302173.25330043

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06abcd0.17070.34140.51210.68280.8535SE +/- 0.03196645, N = 4SE +/- 0.00867146, N = 3SE +/- 0.01813313, N = 30.758707520.732237640.710825560.74262398

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05abcd0.79291.58582.37873.17163.9645SE +/- 0.06297205, N = 4SE +/- 0.08593638, N = 3SE +/- 0.06648494, N = 33.461568063.377686503.524186533.30995369

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04abcd0.69581.39162.08742.78323.479SE +/- 0.02567628, N = 4SE +/- 0.05472939, N = 3SE +/- 0.09994253, N = 32.960263913.092572212.944285952.85856040

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03abcd0.75281.50562.25843.01123.764SE +/- 0.03420168, N = 4SE +/- 0.05826206, N = 3SE +/- 0.04118145, N = 33.158902593.239124303.345568973.15447322

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02abcd0.51271.02541.53812.05082.5635SE +/- 0.05229177, N = 4SE +/- 0.08231744, N = 3SE +/- 0.07468701, N = 32.199165112.207261322.278467662.27512868

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01abcd1.09042.18083.27124.36165.452SE +/- 0.06902799, N = 4SE +/- 0.05428360, N = 3SE +/- 0.08250324, N = 34.695118434.730920794.840341094.84622987

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Queriesabcd0.50521.01041.51562.02082.526SE +/- 0.02461970, N = 4SE +/- 0.00573499, N = 3SE +/- 0.02256519, N = 32.203287342.245314152.237059112.22356446MIN: 0.99 / MAX: 7.56MIN: 0.99 / MAX: 7.7MIN: 1.05 / MAX: 7.66MIN: 0.97 / MAX: 7.7

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.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamabcd246810SE +/- 0.0410, N = 3SE +/- 0.0865, N = 4SE +/- 0.0842, N = 57.70667.61927.56897.4402

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamabcd306090120150SE +/- 0.69, N = 3SE +/- 1.51, N = 4SE +/- 1.48, N = 5129.70131.17132.10134.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabcd2004006008001000SE +/- 12.88, N = 3SE +/- 8.13, N = 6SE +/- 7.99, N = 3836.92806.39841.34820.12

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabcd918273645SE +/- 0.52, N = 3SE +/- 0.38, N = 6SE +/- 0.36, N = 337.9339.3837.7838.72

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd816243240SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 332.6032.1632.3432.31

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd2004006008001000SE +/- 3.44, N = 3SE +/- 1.16, N = 3SE +/- 1.17, N = 3980.45993.60988.49989.06

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd1428425670SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 363.4862.8163.1363.30

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd110220330440550SE +/- 0.37, N = 3SE +/- 0.45, N = 3SE +/- 0.62, N = 3503.41508.59506.13504.84

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamabcd1632486480SE +/- 0.30, N = 3SE +/- 0.25, N = 3SE +/- 0.18, N = 371.9469.4272.0371.92

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamabcd48121620SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 313.9014.4013.8813.90

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabcd2004006008001000SE +/- 2.31, N = 3SE +/- 6.31, N = 3SE +/- 2.60, N = 3841.43837.46837.14845.44

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabcd918273645SE +/- 0.10, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 337.7437.9537.9437.45

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamabcd1632486480SE +/- 0.43, N = 3SE +/- 0.72, N = 3SE +/- 0.16, N = 371.0469.8870.9071.42

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamabcd48121620SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 314.0814.3114.1014.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabcd160320480640800SE +/- 6.44, N = 3SE +/- 4.42, N = 3SE +/- 2.01, N = 3736.77726.25737.98737.85

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabcd1020304050SE +/- 0.30, N = 3SE +/- 0.28, N = 3SE +/- 0.06, N = 343.1943.8443.0543.06

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamabcd1326395265SE +/- 0.38, N = 3SE +/- 0.30, N = 3SE +/- 0.11, N = 358.5555.5658.8558.50

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamabcd48121620SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 317.0717.9916.9917.09

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabcd20406080100SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 395.0294.8894.6895.45

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabcd70140210280350SE +/- 0.53, N = 3SE +/- 0.44, N = 3SE +/- 1.00, N = 3336.19337.08337.78335.10

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamabcd48121620SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 317.6016.9417.4817.58

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamabcd1326395265SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 356.7959.0157.1856.86

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamabcd3691215SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 311.5611.3311.3611.42

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamabcd20406080100SE +/- 0.58, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 386.3888.1787.9387.47

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamabcd3691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 310.9611.1310.9611.15

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamabcd20406080100SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.36, N = 391.1489.8091.1689.59

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabcd4080120160200SE +/- 0.94, N = 3SE +/- 1.36, N = 3SE +/- 1.02, N = 3158.15154.30160.28158.11

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabcd50100150200250SE +/- 1.28, N = 3SE +/- 1.60, N = 3SE +/- 1.27, N = 3201.91206.96199.22201.94

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd306090120150SE +/- 0.45, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3147.96150.23147.49148.28

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd50100150200250SE +/- 0.62, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3215.83212.76216.39215.29

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd3691215SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 312.4912.1112.5212.55

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcd6001200180024003000SE +/- 14.52, N = 3SE +/- 12.01, N = 3SE +/- 15.60, N = 32555.422635.572548.382543.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamabcd1632486480SE +/- 0.35, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 372.4270.9471.8172.46

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamabcd100200300400500SE +/- 2.10, N = 3SE +/- 1.47, N = 3SE +/- 1.15, N = 3441.44450.81445.16441.39

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamabcd3691215SE +/- 0.0493, N = 3SE +/- 0.0132, N = 3SE +/- 0.0758, N = 39.64629.34249.42159.6084

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamabcd20406080100SE +/- 0.53, N = 3SE +/- 0.15, N = 3SE +/- 0.81, N = 3103.56106.93106.03103.98

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamabcd3691215SE +/- 0.0142, N = 3SE +/- 0.0294, N = 3SE +/- 0.0916, N = 39.38539.37709.32779.5802

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamabcd20406080100SE +/- 0.16, N = 3SE +/- 0.34, N = 3SE +/- 1.00, N = 3106.44106.54107.10104.29

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabcd1632486480SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.25, N = 371.1771.2770.7471.05

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabcd100200300400500SE +/- 1.01, N = 3SE +/- 0.60, N = 3SE +/- 1.54, N = 3449.31448.76452.04450.06

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamabcd0.380.761.141.521.9SE +/- 0.0051, N = 3SE +/- 0.0240, N = 3SE +/- 0.0037, N = 31.58971.66561.68871.6090

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamabcd140280420560700SE +/- 2.01, N = 3SE +/- 8.33, N = 3SE +/- 1.41, N = 3627.75599.19591.26620.24

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

117 Results Shown

Apache Spark TPC-H:
  50 - Q22
  50 - Q21
  50 - Q20
  50 - Q19
  50 - Q18
  50 - Q17
  50 - Q16
  50 - Q15
  50 - Q14
  50 - Q13
  50 - Q12
  50 - Q11
  50 - Q10
  50 - Q09
  50 - Q08
  50 - Q07
  50 - Q06
  50 - Q05
  50 - Q04
  50 - Q03
  50 - Q02
  50 - Q01
  50 - Geometric Mean Of All Queries
  10 - Q22
  10 - Q21
  10 - Q20
  10 - Q19
  10 - Q18
  10 - Q17
  10 - Q16
  10 - Q15
  10 - Q14
  10 - Q13
  10 - Q12
  10 - Q11
  10 - Q10
  10 - Q09
  10 - Q08
  10 - Q07
  10 - Q06
  10 - Q05
  10 - Q04
  10 - Q03
  10 - Q02
  10 - Q01
  10 - Geometric Mean Of All Queries
Neural Magic DeepSparse:
  BERT-Large, NLP Question Answering - Synchronous Single-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Apache Spark TPC-H:
  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
  1 - Geometric Mean Of All Queries
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Baseline - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Baseline - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec