Category:Donjon de Maurepas - Wikimedia Commons\nCategory:Donjon de Maurepas\nThis building is inscrit au titre des Monuments Historiques. It is indexed in the Base Mérimée, a database of architectural heritage maintained by the French Ministry of Culture, under the reference PA00087531.\n48° 46′ 21.25″ N, 1° 55′ 14″ E View all coordinates using: OpenStreetMap - Google Maps - Google Earth - Proximityrama\nMedia in category "Donjon de Maurepas"\nDonjon de Maurepas 01.jpg\nDonjon de Maurepas 02.jpg\nDonjon de Maurepas 03.jpg\nDonjon de Maurepas 04.jpg\nDonjon de Maurepas 05.jpg\nDonjon de Maurepas 06.jpg\nDonjon de Maurepas 07.jpg\nDonjon de Maurepas 08.jpg\nDonjon de Maurepas 09.jpg\nDonjon de Maurepas 1.JPG\nDonjon de Maurepas 10.jpg\nDonjon de Maurepas 11.jpg\nDonjon de Maurepas 12.jpg\nDonjon de Maurepas 13.jpg\nDonjon de Maurepas 14.jpg\nDonjon de Maurepas 15.jpg\nDonjon de Maurepas 16.jpg\nDonjon de Maurepas 17.jpg\nDonjon de Maurepas 18.jpg\nDonjon de Maurepas 19.jpg\nDonjon de Maurepas 2.JPG\nDonjon de Maurepas 20.jpg\nDonjon de Maurepas 21.jpg\nDonjon de Maurepas et clocher de l'église Saint-Sauveur.JPG\nDonjon de Maurepas, de dos..JPG\nDonjon de Maurepas, vue de dos..JPG\nDonjon de Maurepas, vue de face..JPG\nDonjon de Maurepas..JPG\nMaurepas ruine donjon.JPG\nRetrieved from "https://commons.wikimedia.org/w/index.php?title=Category:Donjon_de_Maurepas&oldid=175101819"\tCategories: Maurepas (Yvelines)Castles in YvelinesKeeps in FranceRomanesque architecture in Île-de-FranceMonuments historiques in Yvelines (castles)Non-topical/index: Base MériméeMonuments historiques in France by nameMonuments historiques inscritsMérimée with PA parameterCultural heritage monuments in France with known IDsCategories with coordinatesPages with maps\tNavigation menu\nEnglish\tAdd links\tThis page was last modified on 9 October 2015, at 17:01.


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oz/ft² to troy/mm² surface density (areal density) conversion tables\nOunces per (square foot) to troy pounds per (square millimeter)\noz/ft² to troy/mm² (oz:ounce, ft:foot, troy:troy pound, mm:millimeter)\nConvert oz/ft² to troy/mm²\nHow to convert ounces per square foot to troy pounds per square millimeter [oz/ft² to troy/mm²]:\nρAtroy/mm² = 8.1757132 × 10-7 × ρAoz/ft²\nHow many troy pounds per square millimeter in an ounce per square foot:\nρAtroy/mm² = 8.1757132 × 10-7 × 1 = 8.1757132 × 10-7 troy/mm²\nHow many troy pounds per square millimeter in 45 ounces per square foot:\nIf ρAoz/ft² = 45 then\nρAtroy/mm² = 8.1757132 × 10-7 × 45 = 3.67907094 × 10-5 troy/mm²\nNote: Ounce per square foot is an imperial or United States customary unit of surface density. Troy pound per square millimeter is a mixed unit of surface density.\nρaoz/ft²troy/mm²weight Tweight Ooz/ft²>troy/mm²\n1 0.081757132 21 1.716899772 41 3.352042412 61 4.987185052 81 6.622327692\n2 0.163514264 22 1.798656904 42 3.433799544 62 5.068942184 82 6.704084824\n3 0.245271396 23 1.880414036 43 3.515556676 63 5.150699316 83 6.785841956\n4 0.327028528 24 1.962171168 44 3.597313808 64 5.232456448 84 6.867599088\n5 0.408785660 25 2.043928300 45 3.679070940 65 5.314213580 85 6.949356220\n6 0.490542792 26 2.125685432 46 3.760828072 66 5.395970712 86 7.031113352\n7 0.572299924 27 2.207442564 47 3.842585204 67 5.477727844 87 7.112870484\n8 0.654057056 28 2.289199696 48 3.924342336 68 5.559484976 88 7.194627616\n9 0.735814188 29 2.370956828 49 4.006099468 69 5.641242108 89 7.276384748\n10 0.817571320 30 2.452713960 50 4.087856600 70 5.722999240 90 7.358141880\n11 0.899328452 31 2.534471092 51 4.169613732 71 5.804756372 91 7.439899012\n12 0.981085584 32 2.616228224 52 4.251370864 72 5.886513504 92 7.521656144\n13 1.062842716 33 2.697985356 53 4.333127996 73 5.968270636 93 7.603413276\n14 1.144599848 34 2.779742488 54 4.414885128 74 6.050027768 94 7.685170408\n15 1.226356980 35 2.861499620 55 4.496642260 75 6.131784900 95 7.766927540\n16 1.308114112 36 2.943256752 56 4.578399392 76 6.213542032 96 7.848684672\n17 1.389871244 37 3.025013884 57 4.660156524 77 6.295299164 97 7.930441804\n18 1.471628376 38 3.106771016 58 4.741913656 78 6.377056296 98 8.012198936\n19 1.553385508 39 3.188528148 59 4.823670788 79 6.458813428 99 8.093956068\n20 1.635142640 40 3.270285280 60 4.905427920 80 6.540570560 100 8.175713200\nounces per square foot to troy pounds per square millimeter conversion cards\n1 oz/ft² to troy/mm² = 8.1757132 × 10-7 troy/mm²\n2 oz/ft² to troy/mm² = 1.63514264 × 10-6 troy/mm²\n3 oz/ft² to troy/mm² = 2.45271396 × 10-6 troy/mm²\n4 oz/ft² to troy/mm² = 3.27028528 × 10-6 troy/mm²\n5 oz/ft² to troy/mm² = 4.0878566 × 10-6 troy/mm²\n6 oz/ft² to troy/mm² = 4.90542792 × 10-6 troy/mm²\n7 oz/ft² to troy/mm² = 5.72299924 × 10-6 troy/mm²\n8 oz/ft² to troy/mm² = 6.54057056 × 10-6 troy/mm²\n9 oz/ft² to troy/mm² = 7.35814188 × 10-6 troy/mm²\n10 oz/ft² to troy/mm² = 8.1757132 × 10-6 troy/mm²\n11 oz/ft² to troy/mm² = 8.99328452 × 10-6 troy/mm²\n12 oz/ft² to troy/mm² = 9.81085584 × 10-6 troy/mm²\n13 oz/ft² to troy/mm² = 1.062842716 × 10-5 troy/mm²\n14 oz/ft² to troy/mm² = 1.144599848 × 10-5 troy/mm²\n15 oz/ft² to troy/mm² = 1.22635698 × 10-5 troy/mm²\n16 oz/ft² to troy/mm² = 1.308114112 × 10-5 troy/mm²\n17 oz/ft² to troy/mm² = 1.389871244 × 10-5 troy/mm²\n18 oz/ft² to troy/mm² = 1.471628376 × 10-5 troy/mm²\n19 oz/ft² to troy/mm² = 1.553385508 × 10-5 troy/mm²\n20 oz/ft² to troy/mm² = 1.63514264 × 10-5 troy/mm²\n21 oz/ft² to troy/mm² = 1.716899772 × 10-5 troy/mm²\n22 oz/ft² to troy/mm² = 1.798656904 × 10-5 troy/mm²\n23 oz/ft² to troy/mm² = 1.880414036 × 10-5 troy/mm²\n24 oz/ft² to troy/mm² = 1.962171168 × 10-5 troy/mm²\n25 oz/ft² to troy/mm² = 2.0439283 × 10-5 troy/mm²\n26 oz/ft² to troy/mm² = 2.125685432 × 10-5 troy/mm²\n27 oz/ft² to troy/mm² = 2.207442564 × 10-5 troy/mm²\n28 oz/ft² to troy/mm² = 2.289199696 × 10-5 troy/mm²\n29 oz/ft² to troy/mm² = 2.370956828 × 10-5 troy/mm²\n30 oz/ft² to troy/mm² = 2.45271396 × 10-5 troy/mm²\n31 oz/ft² to troy/mm² = 2.534471092 × 10-5 troy/mm²\n32 oz/ft² to troy/mm² = 2.616228224 × 10-5 troy/mm²\n33 oz/ft² to troy/mm² = 2.697985356 × 10-5 troy/mm²\n34 oz/ft² to troy/mm² = 2.779742488 × 10-5 troy/mm²\n35 oz/ft² to troy/mm² = 2.86149962 × 10-5 troy/mm²\n36 oz/ft² to troy/mm² = 2.943256752 × 10-5 troy/mm²\n37 oz/ft² to troy/mm² = 3.025013884 × 10-5 troy/mm²\n38 oz/ft² to troy/mm² = 3.106771016 × 10-5 troy/mm²\n39 oz/ft² to troy/mm² = 3.188528148 × 10-5 troy/mm²\n40 oz/ft² to troy/mm² = 3.27028528 × 10-5 troy/mm²\n41 oz/ft² to troy/mm² = 3.352042412 × 10-5 troy/mm²\n42 oz/ft² to troy/mm² = 3.433799544 × 10-5 troy/mm²\n43 oz/ft² to troy/mm² = 3.515556676 × 10-5 troy/mm²\n44 oz/ft² to troy/mm² = 3.597313808 × 10-5 troy/mm²\n45 oz/ft² to troy/mm² = 3.67907094 × 10-5 troy/mm²\n46 oz/ft² to troy/mm² = 3.760828072 × 10-5 troy/mm²\n47 oz/ft² to troy/mm² = 3.842585204 × 10-5 troy/mm²\n48 oz/ft² to troy/mm² = 3.924342336 × 10-5 troy/mm²\n49 oz/ft² to troy/mm² = 4.006099468 × 10-5 troy/mm²\n50 oz/ft² to troy/mm² = 4.0878566 × 10-5 troy/mm²\n51 oz/ft² to troy/mm² = 4.169613732 × 10-5 troy/mm²\n52 oz/ft² to troy/mm² = 4.251370864 × 10-5 troy/mm²\n53 oz/ft² to troy/mm² = 4.333127996 × 10-5 troy/mm²\n54 oz/ft² to troy/mm² = 4.414885128 × 10-5 troy/mm²\n55 oz/ft² to troy/mm² = 4.49664226 × 10-5 troy/mm²\n56 oz/ft² to troy/mm² = 4.578399392 × 10-5 troy/mm²\n57 oz/ft² to troy/mm² = 4.660156524 × 10-5 troy/mm²\n58 oz/ft² to troy/mm² = 4.741913656 × 10-5 troy/mm²\n59 oz/ft² to troy/mm² = 4.823670788 × 10-5 troy/mm²\n60 oz/ft² to troy/mm² = 4.90542792 × 10-5 troy/mm²\n61 oz/ft² to troy/mm² = 4.987185052 × 10-5 troy/mm²\n62 oz/ft² to troy/mm² = 5.068942184 × 10-5 troy/mm²\n63 oz/ft² to troy/mm² = 5.150699316 × 10-5 troy/mm²\n64 oz/ft² to troy/mm² = 5.232456448 × 10-5 troy/mm²\n65 oz/ft² to troy/mm² = 5.31421358 × 10-5 troy/mm²\n66 oz/ft² to troy/mm² = 5.395970712 × 10-5 troy/mm²\n67 oz/ft² to troy/mm² = 5.477727844 × 10-5 troy/mm²\n68 oz/ft² to troy/mm² = 5.559484976 × 10-5 troy/mm²\n69 oz/ft² to troy/mm² = 5.641242108 × 10-5 troy/mm²\n70 oz/ft² to troy/mm² = 5.72299924 × 10-5 troy/mm²\n71 oz/ft² to troy/mm² = 5.804756372 × 10-5 troy/mm²\n72 oz/ft² to troy/mm² = 5.886513504 × 10-5 troy/mm²\n73 oz/ft² to troy/mm² = 5.968270636 × 10-5 troy/mm²\n74 oz/ft² to troy/mm² = 6.050027768 × 10-5 troy/mm²\n75 oz/ft² to troy/mm² = 6.1317849 × 10-5 troy/mm²\n76 oz/ft² to troy/mm² = 6.213542032 × 10-5 troy/mm²\n77 oz/ft² to troy/mm² = 6.295299164 × 10-5 troy/mm²\n78 oz/ft² to troy/mm² = 6.377056296 × 10-5 troy/mm²\n79 oz/ft² to troy/mm² = 6.458813428 × 10-5 troy/mm²\n80 oz/ft² to troy/mm² = 6.54057056 × 10-5 troy/mm²\n81 oz/ft² to troy/mm² = 6.622327692 × 10-5 troy/mm²\n82 oz/ft² to troy/mm² = 6.704084824 × 10-5 troy/mm²\n83 oz/ft² to troy/mm² = 6.785841956 × 10-5 troy/mm²\n84 oz/ft² to troy/mm² = 6.867599088 × 10-5 troy/mm²\n85 oz/ft² to troy/mm² = 6.94935622 × 10-5 troy/mm²\n86 oz/ft² to troy/mm² = 7.031113352 × 10-5 troy/mm²\n87 oz/ft² to troy/mm² = 7.112870484 × 10-5 troy/mm²\n88 oz/ft² to troy/mm² = 7.194627616 × 10-5 troy/mm²\n89 oz/ft² to troy/mm² = 7.276384748 × 10-5 troy/mm²\n90 oz/ft² to troy/mm² = 7.35814188 × 10-5 troy/mm²\n91 oz/ft² to troy/mm² = 7.439899012 × 10-5 troy/mm²\n92 oz/ft² to troy/mm² = 7.521656144 × 10-5 troy/mm²\n93 oz/ft² to troy/mm² = 7.603413276 × 10-5 troy/mm²\n94 oz/ft² to troy/mm² = 7.685170408 × 10-5 troy/mm²\n95 oz/ft² to troy/mm² = 7.76692754 × 10-5 troy/mm²\n96 oz/ft² to troy/mm² = 7.848684672 × 10-5 troy/mm²\n97 oz/ft² to troy/mm² = 7.930441804 × 10-5 troy/mm²\n98 oz/ft² to troy/mm² = 8.012198936 × 10-5 troy/mm²\n99 oz/ft² to troy/mm² = 8.093956068 × 10-5 troy/mm²\n100 oz/ft² to troy/mm² = 8.1757132 × 10-5 troy/mm²\nROASTED ALMONDS, UPC: 011161033967 contain(s) 607 calories per 100 grams or ≈3.527 ounces [ price ]\nkg/l to t/ft³ conversion table, kg/l to t/ft³ unit converter or convert between all units of density measurement.\nhome ≫ conversion tables of units of measurements ≫ conversion tables of units of surface density ≫ conversion tables of ounces per square foot ≫ conversion table of ounces per square foot to troy pounds per square millimeter


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Auto Auction Ended on VIN: WVWFV7AJ6BW224353 2011 Volkswagen Gti in Mobile, AL Welcome, Guest! Log In\n: off Add to Watchlist Lot # 338466262011 VOLKSWAGEN GTI 2.0L 4 4 for Sale at\nTHIS VEHICLE IS BEING SOLD AS "AS IS - WHERE IS" - ALL BIDS ARE BINDING AND ALL SALES ARE FINAL What this means Copart Auto Auction VOLKSWAGEN Lot Details Lot # 33846626 Est. Retail Value $13,610 USD Repair Est $14,465 USD Ownership Doc Type FL\n- CERTIFICATE OF DESTRUCTION (Bill of Sale or For Export Only) Odometer 49,564 ACTUAL Primary Damage REAR END Secondary Damage FRONT END VIN WVWFV7AJ6BW224353 Body Style HATCHBAC Color BLACK Engine 2.0L 4 4 Drive Front-wheel Drive Cylinders 4 Fuel GAS Keys YES Auction Verification Run & Drive Verified Bid Information Auction Location Mobile, AL show on map Sale Date Monday, December 5, 2016 Live Auction Starts 11:00 AM Pacific Standard Time Live Auction Item Lane A - Item # 84\nShowing 12 of 79 2016 VOLKSWAGEN GTI S/SE/A Auction: Dallas South, TX Time Left:\n$150 USD 2015 VOLKSWAGEN GTI Auction: Van Nuys, CA Current Bid:\n$200 USD 2012 VOLKSWAGEN GTI Auction: Chambersburg, PA Current Bid:


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Station info for ALYSVRMcA – Google Maps APRS\nAPRS object ALYSVRMcA - show graphs\n42°36.00' N 73°51.00' W - locator FN32BO84AA - show map - static map\n1.8 miles Southwest bearing 210° from Delmar, Albany County, New York, United States [?]\n5.5 miles Southeast bearing 133° from Voorheesville, Albany County, New York, United States\n72.9 miles Northwest bearing 299° from Springfield, Hampden County, Massachusetts, United States\n83.0 miles Northwest bearing 314° from Hartford, Hartford County, Connecticut, United States\n2017-08-12 19:04:04 EDT (253d 10h48m ago)\n2017-08-12 19:04:04 EDT local time at Delmar, United States [?]\nALYSVR0AA ALYSVR0bA ALYSVR0pA ALYSVR0QA ALYSVR0XA ALYSVR1cA ALYSVR1KA ALYSVR1NA ALYSVR3mA ALYSVR3UA ALYSVR3WA ALYSVR47A ALYSVRAXA ALYSVRBQA ALYSVRChA ALYSVRCrA ALYSVRD8A ALYSVREbA ALYSVRGgA ALYSVRGhA ALYSVRGrA ALYSVRGTA ALYSVRH2A ALYSVRHaA ALYSVRHCA ALYSVRHdA ALYSVRHMA ALYSVRHsA ALYSVRIdA ALYSVRIGA ALYSVRIhA ALYSVRIiA ALYSVRIjA ALYSVRIKA ALYSVRILA ALYSVRINA ALYSVRIOA ALYSVRIRA ALYSVRIsA ALYSVRIvA ALYSVRJ5A ALYSVRJFA ALYSVRJHA ALYSVRJiA ALYSVRJlA ALYSVRJrA ALYSVRJtA ALYSVRJUA ALYSVRJvA ALYSVRJwA ALYSVRJXA ALYSVRJYA ALYSVRK0A ALYSVRK3A ALYSVRK5A ALYSVRKcA ALYSVRKDA ALYSVRKFA ALYSVRKHA ALYSVRKIA ALYSVRKJA ALYSVRKlA ALYSVRKNA ALYSVRKPA ALYSVRKQA ALYSVRKrA ALYSVRKtA ALYSVRKuA ALYSVRKvA ALYSVRKxA ALYSVRKYA ALYSVRL0A ALYSVRL4A ALYSVRLCA ALYSVRLHA ALYSVRLLA ALYSVRLMA ALYSVRLNA ALYSVRLPA ALYSVRLuA ALYSVRLWA ALYSVRLxA ALYSVRM0A ALYSVRM3A ALYSVRM7A ALYSVRMBA ALYSVRMeA ALYSVRMIA ALYSVRMKA ALYSVRMOA ALYSVRMSA ALYSVRMuA ALYSVRN9A ALYSVRNAA ALYSVRNbA ALYSVRNfA ALYSVRNHA ALYSVRNiA ALYSVRNKA ALYSVRNlA ALYSVRNMA ALYSVRNnA\nStations near current position of ALYSVRMcA - show more\n1.4 miles 311° 2018-04-21 18:42:32\n1.7 miles 26° 2018-04-12 07:23:52\n1.9 miles 104° 2018-04-23 05:45:34\n2.0 miles 149° 2018-04-10 12:00:33\n2.3 miles 342° 2018-03-27 18:41:47\n3.8 miles 117° 2018-04-22 15:47:55\n5.6 miles 8° 2018-04-16 09:04:22\n5.7 miles 9° 2018-04-23 05:50:18\n5.7 miles 53° 2018-04-23 05:47:14\n6.0 miles 282° 2018-04-23 05:47:32\n6.1 miles 244° 2018-04-15 13:35:45\n6.3 miles 77° 2018-04-19 11:22:54\n6.3 miles 350° 2018-04-04 17:10:51\n7.6 miles 8° 2018-04-20 21:14:05\n8.4 miles 283° 2018-04-23 05:51:30\n8.4 miles 283° 2018-04-23 05:35:55\n8.4 miles 283° 2018-04-23 05:35:41\n8.8 miles 26° 2018-04-23 05:48:47\n9.2 miles 2° 2018-04-23 05:45:20\n9.6 miles 111° 2018-04-14 14:03:43


OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106012000M24000M36000M48000M60000MSE +/- 147390714.04, N = 7SE +/- 102079526.49, N = 7SE +/- 53297878.10, N = 7SE +/- 98630343.33, N = 7SE +/- 63553325.94, N = 7SE +/- 109307854.28, N = 7SE +/- 41495700.95, N = 7SE +/- 181560574.59, N = 7SE +/- 41830567.71, N = 7SE +/- 34176226.97, N = 7SE +/- 40766579.62, N = 7SE +/- 46882020.11, N = 7SE +/- 29398291.17, N = 753086314286540303142863299200000055740728571425657000003858172857135026971429299966714292743461428625730414286183548142861799770000012897400000\nOpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: MD5TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106080M160M240M320M400M341784951.41311017484.35311715797.43396354718.56311117905.89322401428.48288952169.21313223916.56275454497.06278488631.45286208945.71244831690.71184587919.24\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106010000M20000M30000M40000M50000MMin: 52488500000 / Avg: 53086314285.71 / Max: 53694900000Min: 53805600000 / Avg: 54030314285.71 / Max: 54436200000Min: 32727200000 / Avg: 32992000000 / Max: 33174300000Min: 55433200000 / Avg: 55740728571.43 / Max: 56126500000Min: 42300300000 / Avg: 42565700000 / Max: 42770800000Min: 38269600000 / Avg: 38581728571.43 / Max: 39045100000Min: 34913000000 / Avg: 35026971428.57 / Max: 35210500000Min: 28933000000 / Avg: 29996671428.57 / Max: 30282500000Min: 27276600000 / Avg: 27434614285.71 / Max: 27547200000Min: 25603300000 / Avg: 25730414285.71 / Max: 25884700000Min: 18180700000 / Avg: 18354814285.71 / Max: 18471900000Min: 17775000000 / Avg: 17997700000 / Max: 18184700000Min: 12818400000 / Avg: 12897400000 / Max: 12997600000\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10604000M8000M12000M16000M20000MSE +/- 31084579.96, N = 6SE +/- 36837886.26, N = 7SE +/- 8294912.79, N = 7SE +/- 26687552.20, N = 7SE +/- 40239943.60, N = 7SE +/- 10928839.09, N = 7SE +/- 7407910.83, N = 7SE +/- 9114520.82, N = 7SE +/- 13942803.47, N = 7SE +/- 12096446.32, N = 7SE +/- 43107894.32, N = 15SE +/- 10473604.66, N = 7SE +/- 6046717.22, N = 716935833333183455285711109117142917840385714134677142861219500000010984400000955891428687470714298158285714621996000061783142864402442857\nOpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA1TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106030M60M90M120M150M104602759.10100535705.76103115175.84121618842.58102514995.6496128268.6294385776.1097164967.4984129215.9189207530.6294836299.4285534112.7260925712.57\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10603000M6000M9000M12000M15000MMin: 16805800000 / Avg: 16935833333.33 / Max: 17026200000Min: 18221600000 / Avg: 18345528571.43 / Max: 18457100000Min: 11062600000 / Avg: 11091171428.57 / Max: 11126900000Min: 17765100000 / Avg: 17840385714.29 / Max: 17945800000Min: 13324200000 / Avg: 13467714285.71 / Max: 13645100000Min: 12149800000 / Avg: 12195000000 / Max: 12239500000Min: 10942300000 / Avg: 10984400000 / Max: 10999600000Min: 9520800000 / Avg: 9558914285.71 / Max: 9583800000Min: 8709200000 / Avg: 8747071428.57 / Max: 8791200000Min: 8121900000 / Avg: 8158285714.29 / Max: 8206700000Min: 5624200000 / Avg: 6219960000 / Max: 6310600000Min: 6149700000 / Avg: 6178314285.71 / Max: 6236100000Min: 4390300000 / Avg: 4402442857.14 / Max: 4429500000\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060500M1000M1500M2000M2500MSE +/- 4053921.28, N = 6SE +/- 3329521.63, N = 7SE +/- 849289.42, N = 7SE +/- 1585907.32, N = 7SE +/- 900264.51, N = 7SE +/- 2244509.55, N = 7SE +/- 953653.91, N = 7SE +/- 1566073.13, N = 7SE +/- 1642277.33, N = 7SE +/- 1478370.13, N = 7SE +/- 824002.18, N = 7SE +/- 537821.25, N = 7SE +/- 1680378.97, N = 72118816667230670000014069285712223128571170530000015354142861399242857121278571411048428571035028571794742857784514286465271429\nOpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA-512TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10603M6M9M12M15M12848448.8012429064.1912797897.1914695988.6412407758.8412234041.6911496268.3312061400.8010630748.2711143378.5311525083.3710393151.816439856.15\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060400M800M1200M1600M2000MMin: 2101300000 / Avg: 2118816666.67 / Max: 2131400000Min: 2295000000 / Avg: 2306700000 / Max: 2317700000Min: 1402900000 / Avg: 1406928571.43 / Max: 1409100000Min: 2215900000 / Avg: 2223128571.43 / Max: 2228000000Min: 1701000000 / Avg: 1705300000 / Max: 1708300000Min: 1527000000 / Avg: 1535414285.71 / Max: 1543200000Min: 1394100000 / Avg: 1399242857.14 / Max: 1402000000Min: 1207000000 / Avg: 1212785714.29 / Max: 1217500000Min: 1099900000 / Avg: 1104842857.14 / Max: 1111700000Min: 1031700000 / Avg: 1035028571.43 / Max: 1043100000Min: 791100000 / Avg: 794742857.14 / Max: 796800000Min: 782600000 / Avg: 784514285.71 / Max: 786500000Min: 455700000 / Avg: 465271428.57 / Max: 469500000\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060200K400K600K800K1000KSE +/- 6837.61, N = 10SE +/- 2622.40, N = 10SE +/- 558.54, N = 11SE +/- 6317.53, N = 10SE +/- 6880.46, N = 15SE +/- 4180.88, N = 13SE +/- 6166.48, N = 15SE +/- 249.73, N = 11SE +/- 2513.28, N = 11SE +/- 4365.82, N = 12SE +/- 2005.81, N = 11SE +/- 2811.01, N = 15SE +/- 915.40, N = 12837420939290586918882560704180639915577947504100459973433342335700333847198242\nOpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: 7-ZipTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10602K4K6K8K10K8110.588221.939708.4311015.309972.838699.018523.908840.467181.638031.648357.977098.623824.57\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060160K320K480K640K800KMin: 788100 / Avg: 837420 / Max: 859800Min: 929400 / Avg: 939290 / Max: 957400Min: 583000 / Avg: 586918.18 / Max: 589300Min: 834600 / Avg: 882560 / Max: 896600Min: 627300 / Avg: 704180 / Max: 719700Min: 605700 / Avg: 639915.38 / Max: 648300Min: 528200 / Avg: 577946.67 / Max: 594900Min: 503200 / Avg: 504100 / Max: 506000Min: 437400 / Avg: 459972.73 / Max: 467600Min: 393000 / Avg: 433341.67 / Max: 441300Min: 322500 / Avg: 335700 / Max: 343300Min: 298000 / Avg: 333846.67 / Max: 340000Min: 190900 / Avg: 198241.67 / Max: 200700\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060150K300K450K600K750KSE +/- 3170.74, N = 8SE +/- 2510.22, N = 8SE +/- 3786.64, N = 9SE +/- 1367.60, N = 7SE +/- 4540.66, N = 15SE +/- 1086.65, N = 7SE +/- 3357.49, N = 15SE +/- 366.29, N = 9SE +/- 2317.91, N = 10SE +/- 1010.44, N = 8SE +/- 494.41, N = 8SE +/- 2205.50, N = 10SE +/- 1264.28, N = 11625550692388434067650229524033458971423593359933324240306825236988237900142264\nOpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060120024003600480060005053.525092.005389.754940.533899.844417.864726.824924.794691.053869.993963.533798.772915.07\nOpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060120K240K360K480K600KMin: 609700 / Avg: 625550 / Max: 636600Min: 676500 / Avg: 692387.5 / Max: 700200Min: 426900 / Avg: 434066.67 / Max: 454300Min: 643500 / Avg: 650228.57 / Max: 655200Min: 501100 / Avg: 524033.33 / Max: 542500Min: 455400 / Avg: 458971.43 / Max: 464300Min: 400600 / Avg: 423593.33 / Max: 451300Min: 358500 / Avg: 359933.33 / Max: 361500Min: 309100 / Avg: 324240 / Max: 333200Min: 302700 / Avg: 306825 / Max: 310200Min: 234000 / Avg: 236987.5 / Max: 238800Min: 229000 / Avg: 237900 / Max: 250200Min: 133900 / Avg: 142263.64 / Max: 150200\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10603691215SE +/- 0.008, N = 8SE +/- 0.035, N = 15SE +/- 0.008, N = 6SE +/- 0.007, N = 8SE +/- 0.014, N = 7SE +/- 0.045, N = 6SE +/- 0.018, N = 6SE +/- 0.006, N = 6SE +/- 0.021, N = 5SE +/- 0.020, N = 5SE +/- 0.022, N = 4SE +/- 0.014, N = 4SE +/- 0.068, N = 44.8054.8556.9884.4915.9046.3556.9807.8048.6569.00411.74611.61712.1051. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106048121620Min: 4.78 / Avg: 4.81 / Max: 4.84Min: 4.71 / Avg: 4.85 / Max: 5.3Min: 6.96 / Avg: 6.99 / Max: 7.01Min: 4.46 / Avg: 4.49 / Max: 4.52Min: 5.86 / Avg: 5.9 / Max: 5.97Min: 6.26 / Avg: 6.35 / Max: 6.57Min: 6.93 / Avg: 6.98 / Max: 7.05Min: 7.79 / Avg: 7.8 / Max: 7.83Min: 8.6 / Avg: 8.66 / Max: 8.73Min: 8.95 / Avg: 9 / Max: 9.08Min: 11.71 / Avg: 11.75 / Max: 11.81Min: 11.59 / Avg: 11.62 / Max: 11.66Min: 11.98 / Avg: 12.1 / Max: 12.291. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060140280420560700SE +/- 2.39, N = 13SE +/- 4.38, N = 12SE +/- 0.15, N = 15SE +/- 3.38, N = 12SE +/- 0.07, N = 15SE +/- 0.09, N = 13SE +/- 2.10, N = 14SE +/- 0.21, N = 15SE +/- 0.50, N = 13SE +/- 1.44, N = 15SE +/- 0.45, N = 12SE +/- 1.52, N = 12SE +/- 0.06, N = 10484.40633.34389.02502.73405.77368.91367.04368.84348.06275.12222.01273.92147.511. (CXX) g++ options: -O3 -rdynamic -lOpenCL\nOpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10602468106.136.217.455.987.196.326.508.096.625.515.876.373.39\nOpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060110220330440550Min: 470.15 / Avg: 484.4 / Max: 501.89Min: 602.21 / Avg: 633.34 / Max: 650.49Min: 386.92 / Avg: 389.02 / Max: 389.29Min: 475.15 / Avg: 502.73 / Max: 509.26Min: 404.86 / Avg: 405.77 / Max: 405.98Min: 368.02 / Avg: 368.91 / Max: 369.26Min: 340.36 / Avg: 367.04 / Max: 369.9Min: 366.21 / Avg: 368.84 / Max: 369.33Min: 345.79 / Avg: 348.06 / Max: 352.88Min: 255.43 / Avg: 275.12 / Max: 277.41Min: 220.15 / Avg: 222.01 / Max: 225.43Min: 262.59 / Avg: 273.92 / Max: 276.73Min: 147.09 / Avg: 147.51 / Max: 147.821. (CXX) g++ options: -O3 -rdynamic -lOpenCL\nOpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106048121620SE +/- 0.224039, N = 15SE +/- 0.043122, N = 15SE +/- 0.027743, N = 15SE +/- 0.094451, N = 15SE +/- 0.083219, N = 15SE +/- 0.040260, N = 14SE +/- 0.048730, N = 14SE +/- 0.009511, N = 14SE +/- 0.162802, N = 15SE +/- 0.035770, N = 15SE +/- 0.162363, N = 15SE +/- 0.069806, N = 15SE +/- 0.326577, N = 156.3720004.9210008.3740006.1580006.9120007.7150008.31800010.26300011.49200012.58700015.52506715.36100013.4680001. (CXX) g++ options: -O3 -lOpenCL\nOpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106048121620Min: 5.78 / Avg: 6.37 / Max: 8.52Min: 4.83 / Avg: 4.92 / Max: 5.5Min: 8.31 / Avg: 8.37 / Max: 8.74Min: 6.02 / Avg: 6.16 / Max: 7.21Min: 6.8 / Avg: 6.91 / Max: 8.03Min: 7.64 / Avg: 7.72 / Max: 8.15Min: 8.23 / Avg: 8.32 / Max: 8.8Min: 10.24 / Avg: 10.26 / Max: 10.34Min: 10.55 / Avg: 11.49 / Max: 12.71Min: 12.54 / Avg: 12.59 / Max: 13.09Min: 14.42 / Avg: 15.53 / Max: 16.58Min: 15.2 / Avg: 15.36 / Max: 16.05Min: 11.76 / Avg: 13.47 / Max: 15.761. (CXX) g++ options: -O3 -lOpenCL\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060140280420560700SE +/- 2.07, N = 8SE +/- 5.82, N = 9SE +/- 0.06, N = 8SE +/- 3.54, N = 8SE +/- 2.29, N = 8SE +/- 1.61, N = 8SE +/- 1.82, N = 7SE +/- 0.10, N = 8SE +/- 0.23, N = 7SE +/- 0.07, N = 7SE +/- 0.50, N = 6SE +/- 1.52, N = 7SE +/- 0.02, N = 5514.5634.1393.5540.7434.4394.1394.2396.7372.2297.3235.4293.5152.81. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10601.19482.38963.58444.77925.9744.274.625.025.015.314.554.505.224.414.154.094.272.82\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060110220330440550Min: 504.9 / Avg: 514.45 / Max: 521.2Min: 605.9 / Avg: 634.08 / Max: 650.7Min: 393.1 / Avg: 393.49 / Max: 393.6Min: 518.2 / Avg: 540.68 / Max: 546Min: 419.4 / Avg: 434.4 / Max: 437.8Min: 386.5 / Avg: 394.13 / Max: 397.1Min: 384.1 / Avg: 394.24 / Max: 397Min: 396.5 / Avg: 396.73 / Max: 397.1Min: 371.3 / Avg: 372.17 / Max: 373.1Min: 297.1 / Avg: 297.31 / Max: 297.5Min: 234 / Avg: 235.42 / Max: 236.9Min: 287.2 / Avg: 293.46 / Max: 296.7Min: 152.7 / Avg: 152.76 / Max: 152.81. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060130260390520650SE +/- 1.51, N = 8SE +/- 2.78, N = 9SE +/- 0.03, N = 8SE +/- 1.82, N = 8SE +/- 2.08, N = 8SE +/- 1.71, N = 8SE +/- 1.89, N = 7SE +/- 0.27, N = 8SE +/- 0.28, N = 7SE +/- 0.38, N = 7SE +/- 0.26, N = 6SE +/- 1.33, N = 7SE +/- 0.36, N = 5456.0615.3383.6445.4344.1334.2313.9328.4311.8251.2207.4230.0147.41. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10601.0892.1783.2674.3565.4453.904.534.843.914.313.963.664.433.803.633.583.372.74\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060110220330440550Min: 450.8 / Avg: 456 / Max: 463.1Min: 594.3 / Avg: 615.33 / Max: 620.4Min: 383.5 / Avg: 383.63 / Max: 383.7Min: 433.7 / Avg: 445.35 / Max: 449.5Min: 332.4 / Avg: 344.13 / Max: 348.9Min: 326.3 / Avg: 334.23 / Max: 338.7Min: 305.2 / Avg: 313.91 / Max: 318.1Min: 327.3 / Avg: 328.38 / Max: 329.5Min: 310.7 / Avg: 311.77 / Max: 312.9Min: 249.9 / Avg: 251.19 / Max: 252.5Min: 206.8 / Avg: 207.38 / Max: 208.3Min: 226 / Avg: 230.01 / Max: 234.6Min: 146.4 / Avg: 147.38 / Max: 148.21. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106070140210280350SE +/- 0.44, N = 8SE +/- 1.91, N = 9SE +/- 0.09, N = 8SE +/- 0.85, N = 8SE +/- 1.13, N = 8SE +/- 0.81, N = 8SE +/- 1.07, N = 7SE +/- 0.06, N = 8SE +/- 0.37, N = 7SE +/- 0.08, N = 7SE +/- 0.27, N = 6SE +/- 0.69, N = 7SE +/- 0.28, N = 5291.8339.9298.2320.8298.9288.5288.2284.5270.4239.0197.2239.0137.81. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.86631.73262.59893.46524.33152.582.523.853.053.773.423.383.823.393.493.493.482.59\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106060120180240300Min: 290.6 / Avg: 291.81 / Max: 293.6Min: 330.2 / Avg: 339.89 / Max: 345Min: 297.8 / Avg: 298.2 / Max: 298.6Min: 316 / Avg: 320.75 / Max: 323Min: 293.8 / Avg: 298.9 / Max: 301.1Min: 284.8 / Avg: 288.46 / Max: 290.2Min: 284.7 / Avg: 288.24 / Max: 291.7Min: 284.3 / Avg: 284.5 / Max: 284.7Min: 268.8 / Avg: 270.37 / Max: 271.3Min: 238.8 / Avg: 238.96 / Max: 239.2Min: 196.5 / Avg: 197.18 / Max: 198.1Min: 234.9 / Avg: 238.99 / Max: 240.1Min: 137.2 / Avg: 137.8 / Max: 138.51. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060100M200M300M400M500MSE +/- 2676982.40, N = 9SE +/- 1875555.71, N = 9SE +/- 552442.28, N = 8SE +/- 2727377.34, N = 10SE +/- 1757515.78, N = 9SE +/- 2274447.08, N = 9SE +/- 1273824.38, N = 9SE +/- 1098102.02, N = 8SE +/- 2576635.94, N = 9SE +/- 387178.22, N = 8SE +/- 615153.65, N = 7SE +/- 545279.65, N = 7SE +/- 458649.89, N = 5443646920.9401282795.2278997773.1446864473.4363715438.9341286781.7316276201.0280144899.1262260550.6247283060.7197542242.7198638055.8128084240.31. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL\nOpenBenchmarking.orgSamples/sec Per Watt, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060900K1800K2700K3600K4500K3502262.873127589.373434300.754140168.013682880.253349006.113284888.703316968.862790140.782826824.403061658.832676263.231890713.65\nOpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106080M160M240M320M400MMin: 430559584.5 / Avg: 443646920.86 / Max: 454339710.9Min: 392013325.3 / Avg: 401282795.17 / Max: 409221222.5Min: 276653957 / Avg: 278997773.05 / Max: 280911117.6Min: 436980116.6 / Avg: 446864473.44 / Max: 466632721.1Min: 356670350.7 / Avg: 363715438.92 / Max: 371441441.2Min: 330793452.2 / Avg: 341286781.71 / Max: 351390457Min: 311250676.4 / Avg: 316276200.96 / Max: 324129243.4Min: 277470972.8 / Avg: 280144899.08 / Max: 286503328.6Min: 243708600.8 / Avg: 262260550.63 / Max: 269853251.7Min: 245613517.9 / Avg: 247283060.65 / Max: 248841236.2Min: 194882495.5 / Avg: 197542242.73 / Max: 199685950Min: 196944289.8 / Avg: 198638055.79 / Max: 201007827.1Min: 126500454.5 / Avg: 128084240.26 / Max: 129286724.41. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL\nOpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 106020406080100SE +/- 0.60, N = 11SE +/- 0.35, N = 15SE +/- 0.23, N = 12SE +/- 0.46, N = 12SE +/- 0.39, N = 12SE +/- 0.44, N = 11SE +/- 0.35, N = 11SE +/- 0.23, N = 11SE +/- 0.29, N = 11SE +/- 0.34, N = 11SE +/- 0.22, N = 11SE +/- 0.28, N = 11SE +/- 0.50, N = 1176.2777.9575.8378.6177.1176.1375.7475.0972.3372.8368.6168.7161.731. (CXX) g++ options: -rdynamic -lOpenCL\nOpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.52651.0531.57952.1062.63251.131.201.941.851.741.711.772.311.782.032.342.141.58\nOpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10601530456075Min: 71.15 / Avg: 76.27 / Max: 78.47Min: 73.65 / Avg: 77.95 / Max: 79.58Min: 74.5 / Avg: 75.83 / Max: 77.29Min: 75.61 / Avg: 78.61 / Max: 81.21Min: 74.59 / Avg: 77.11 / Max: 79.47Min: 73.77 / Avg: 76.13 / Max: 79.25Min: 73.76 / Avg: 75.74 / Max: 78.22Min: 73.9 / Avg: 75.09 / Max: 76.24Min: 70.68 / Avg: 72.33 / Max: 73.79Min: 70.53 / Avg: 72.83 / Max: 74.35Min: 67.25 / Avg: 68.61 / Max: 69.82Min: 67.29 / Avg: 68.71 / Max: 70.02Min: 57.7 / Avg: 61.73 / Max: 63.791. (CXX) g++ options: -rdynamic -lOpenCL\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810SE +/- 0.05, N = 15SE +/- 0.14, N = 12SE +/- 0.06, N = 3SE +/- 0.08, N = 15SE +/- 0.09, N = 15SE +/- 0.06, N = 15SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 15SE +/- 0.08, N = 3SE +/- 0.08, N = 15SE +/- 0.08, N = 35.054.073.963.874.204.294.184.585.414.756.055.357.70MIN: 3.57 / MAX: 45.5MIN: 3.22 / MAX: 44.48MIN: 3.54 / MAX: 39.83MIN: 3.51 / MAX: 45MIN: 3.67 / MAX: 44.19MIN: 3.78 / MAX: 44.36MIN: 3.93 / MAX: 24.5MIN: 4.01 / MAX: 44.45MIN: 4.02 / MAX: 50.12MIN: 4.19 / MAX: 44.66MIN: 4.56 / MAX: 53.55MIN: 4.46 / MAX: 45.32MIN: 6.82 / MAX: 48.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10603691215Min: 4.78 / Avg: 5.05 / Max: 5.33Min: 3.51 / Avg: 4.07 / Max: 4.89Min: 3.86 / Avg: 3.96 / Max: 4.07Min: 3.64 / Avg: 3.87 / Max: 4.76Min: 3.82 / Avg: 4.2 / Max: 4.83Min: 3.92 / Avg: 4.29 / Max: 4.79Min: 4.14 / Avg: 4.18 / Max: 4.23Min: 4.49 / Avg: 4.58 / Max: 4.66Min: 5.28 / Avg: 5.41 / Max: 5.48Min: 4.32 / Avg: 4.75 / Max: 5.2Min: 5.88 / Avg: 6.05 / Max: 6.15Min: 4.87 / Avg: 5.35 / Max: 5.82Min: 7.55 / Avg: 7.7 / Max: 7.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10601.2962.5923.8885.1846.48SE +/- 0.06, N = 15SE +/- 0.07, N = 12SE +/- 0.01, N = 3SE +/- 0.06, N = 15SE +/- 0.08, N = 15SE +/- 0.06, N = 15SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 15SE +/- 0.08, N = 3SE +/- 0.09, N = 14SE +/- 0.10, N = 34.664.454.274.024.064.164.094.234.954.435.304.675.76MIN: 3.42 / MAX: 47.76MIN: 3.5 / MAX: 45.01MIN: 3.75 / MAX: 35.37MIN: 3.43 / MAX: 41.82MIN: 3.52 / MAX: 43.97MIN: 3.6 / MAX: 40.3MIN: 3.61 / MAX: 44.2MIN: 3.74 / MAX: 37.61MIN: 3.79 / MAX: 37.73MIN: 3.89 / MAX: 42.29MIN: 4.07 / MAX: 36.52MIN: 4.11 / MAX: 40.05MIN: 5 / MAX: 36.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 4.03 / Avg: 4.66 / Max: 4.95Min: 3.94 / Avg: 4.45 / Max: 4.73Min: 4.26 / Avg: 4.27 / Max: 4.29Min: 3.57 / Avg: 4.02 / Max: 4.46Min: 3.67 / Avg: 4.06 / Max: 4.67Min: 3.76 / Avg: 4.16 / Max: 4.72Min: 3.71 / Avg: 4.09 / Max: 4.57Min: 4.15 / Avg: 4.23 / Max: 4.31Min: 4.85 / Avg: 4.95 / Max: 5.12Min: 4.07 / Avg: 4.43 / Max: 4.95Min: 5.16 / Avg: 5.3 / Max: 5.42Min: 4.24 / Avg: 4.67 / Max: 5.3Min: 5.59 / Avg: 5.76 / Max: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.47480.94961.42441.89922.374SE +/- 0.07, N = 15SE +/- 0.06, N = 12SE +/- 0.12, N = 3SE +/- 0.06, N = 15SE +/- 0.03, N = 15SE +/- 0.03, N = 15SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 15SE +/- 0.16, N = 3SE +/- 0.04, N = 15SE +/- 0.09, N = 31.751.731.741.511.371.461.381.541.721.561.841.532.11MIN: 1.3 / MAX: 20.67MIN: 1.4 / MAX: 22.34MIN: 1.5 / MAX: 17.99MIN: 1.29 / MAX: 18.36MIN: 1.28 / MAX: 18.03MIN: 1.33 / MAX: 17.85MIN: 1.31 / MAX: 5.51MIN: 1.38 / MAX: 17.92MIN: 1.36 / MAX: 15.12MIN: 1.39 / MAX: 19.37MIN: 1.44 / MAX: 19.14MIN: 1.42 / MAX: 21.24MIN: 1.91 / MAX: 19.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 1.55 / Avg: 1.75 / Max: 2.37Min: 1.52 / Avg: 1.73 / Max: 2Min: 1.62 / Avg: 1.74 / Max: 1.97Min: 1.32 / Avg: 1.51 / Max: 2.04Min: 1.31 / Avg: 1.37 / Max: 1.72Min: 1.38 / Avg: 1.46 / Max: 1.72Min: 1.35 / Avg: 1.38 / Max: 1.4Min: 1.39 / Avg: 1.54 / Max: 1.85Min: 1.62 / Avg: 1.72 / Max: 1.86Min: 1.41 / Avg: 1.56 / Max: 2.22Min: 1.67 / Avg: 1.84 / Max: 2.17Min: 1.44 / Avg: 1.53 / Max: 1.9Min: 1.96 / Avg: 2.11 / Max: 2.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.55581.11161.66742.22322.779SE +/- 0.07, N = 15SE +/- 0.07, N = 12SE +/- 0.01, N = 3SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 15SE +/- 0.13, N = 3SE +/- 0.05, N = 15SE +/- 0.13, N = 32.111.981.761.641.761.751.711.641.891.812.101.822.47MIN: 1.55 / MAX: 19.9MIN: 1.65 / MAX: 17.98MIN: 1.73 / MAX: 3.1MIN: 1.53 / MAX: 18.23MIN: 1.52 / MAX: 21.3MIN: 1.57 / MAX: 17.89MIN: 1.55 / MAX: 19.3MIN: 1.61 / MAX: 2.65MIN: 1.58 / MAX: 9.02MIN: 1.61 / MAX: 18.64MIN: 1.66 / MAX: 16.77MIN: 1.63 / MAX: 22.45MIN: 2.28 / MAX: 17.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 1.85 / Avg: 2.11 / Max: 2.66Min: 1.78 / Avg: 1.98 / Max: 2.42Min: 1.75 / Avg: 1.76 / Max: 1.77Min: 1.57 / Avg: 1.64 / Max: 2.11Min: 1.54 / Avg: 1.76 / Max: 2.05Min: 1.62 / Avg: 1.75 / Max: 2.22Min: 1.57 / Avg: 1.71 / Max: 1.94Min: 1.63 / Avg: 1.64 / Max: 1.65Min: 1.85 / Avg: 1.89 / Max: 1.97Min: 1.65 / Avg: 1.81 / Max: 2.42Min: 1.89 / Avg: 2.1 / Max: 2.34Min: 1.66 / Avg: 1.82 / Max: 2.19Min: 2.31 / Avg: 2.47 / Max: 2.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.40050.8011.20151.6022.0025SE +/- 0.07, N = 15SE +/- 0.06, N = 12SE +/- 0.04, N = 3SE +/- 0.06, N = 15SE +/- 0.06, N = 15SE +/- 0.05, N = 15SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 15SE +/- 0.03, N = 3SE +/- 0.03, N = 15SE +/- 0.10, N = 31.621.541.361.341.321.371.361.261.631.371.561.331.78MIN: 1.19 / MAX: 20.26MIN: 1.25 / MAX: 19.9MIN: 1.29 / MAX: 15.72MIN: 1.18 / MAX: 20.07MIN: 1.16 / MAX: 20.88MIN: 1.21 / MAX: 18.01MIN: 1.2 / MAX: 17.51MIN: 1.24 / MAX: 1.92MIN: 1.21 / MAX: 20.82MIN: 1.23 / MAX: 22.22MIN: 1.26 / MAX: 21.01MIN: 1.24 / MAX: 18.01MIN: 1.51 / MAX: 11.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 1.41 / Avg: 1.62 / Max: 2.12Min: 1.31 / Avg: 1.54 / Max: 1.92Min: 1.31 / Avg: 1.36 / Max: 1.44Min: 1.2 / Avg: 1.34 / Max: 2.16Min: 1.19 / Avg: 1.32 / Max: 1.99Min: 1.23 / Avg: 1.37 / Max: 2.02Min: 1.21 / Avg: 1.36 / Max: 1.63Min: 1.25 / Avg: 1.26 / Max: 1.27Min: 1.41 / Avg: 1.63 / Max: 2.06Min: 1.26 / Avg: 1.37 / Max: 1.7Min: 1.51 / Avg: 1.56 / Max: 1.61Min: 1.28 / Avg: 1.33 / Max: 1.74Min: 1.59 / Avg: 1.78 / Max: 1.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.51531.03061.54592.06122.5765SE +/- 0.05, N = 14SE +/- 0.06, N = 12SE +/- 0.14, N = 2SE +/- 0.03, N = 15SE +/- 0.05, N = 15SE +/- 0.03, N = 15SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 15SE +/- 0.04, N = 3SE +/- 0.06, N = 15SE +/- 0.17, N = 21.891.801.771.491.521.501.661.561.721.631.811.662.29MIN: 1.37 / MAX: 19.83MIN: 1.49 / MAX: 19.5MIN: 1.6 / MAX: 22.35MIN: 1.35 / MAX: 19.31MIN: 1.34 / MAX: 19.22MIN: 1.4 / MAX: 17.79MIN: 1.37 / MAX: 17.88MIN: 1.44 / MAX: 20.92MIN: 1.42 / MAX: 8.94MIN: 1.45 / MAX: 19.28MIN: 1.49 / MAX: 18.94MIN: 1.46 / MAX: 19.39MIN: 2.01 / MAX: 18.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 1.71 / Avg: 1.89 / Max: 2.32Min: 1.65 / Avg: 1.8 / Max: 2.37Min: 1.63 / Avg: 1.77 / Max: 1.91Min: 1.39 / Avg: 1.49 / Max: 1.86Min: 1.38 / Avg: 1.52 / Max: 1.87Min: 1.42 / Avg: 1.5 / Max: 1.84Min: 1.4 / Avg: 1.66 / Max: 1.84Min: 1.45 / Avg: 1.56 / Max: 1.77Min: 1.68 / Avg: 1.72 / Max: 1.75Min: 1.47 / Avg: 1.63 / Max: 2.4Min: 1.77 / Avg: 1.81 / Max: 1.9Min: 1.5 / Avg: 1.66 / Max: 2.28Min: 2.12 / Avg: 2.29 / Max: 2.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.8461.6922.5383.3844.23SE +/- 0.06, N = 15SE +/- 0.11, N = 12SE +/- 0.13, N = 3SE +/- 0.06, N = 15SE +/- 0.05, N = 15SE +/- 0.05, N = 15SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 15SE +/- 0.04, N = 3SE +/- 0.05, N = 15SE +/- 0.06, N = 33.333.133.032.732.612.662.762.793.352.923.632.883.76MIN: 2.48 / MAX: 22.5MIN: 2.61 / MAX: 20.61MIN: 2.72 / MAX: 20.75MIN: 2.45 / MAX: 21.05MIN: 2.42 / MAX: 20.41MIN: 2.53 / MAX: 22.5MIN: 2.48 / MAX: 17.56MIN: 2.6 / MAX: 19.01MIN: 2.54 / MAX: 22.25MIN: 2.59 / MAX: 22.74MIN: 2.65 / MAX: 22.19MIN: 2.62 / MAX: 21.44MIN: 3.48 / MAX: 21.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 2.88 / Avg: 3.33 / Max: 3.7Min: 2.89 / Avg: 3.13 / Max: 4.2Min: 2.78 / Avg: 3.03 / Max: 3.16Min: 2.49 / Avg: 2.73 / Max: 3.23Min: 2.46 / Avg: 2.61 / Max: 3.08Min: 2.56 / Avg: 2.66 / Max: 3.2Min: 2.54 / Avg: 2.76 / Max: 2.92Min: 2.63 / Avg: 2.79 / Max: 3.03Min: 3.15 / Avg: 3.35 / Max: 3.46Min: 2.64 / Avg: 2.92 / Max: 3.33Min: 3.57 / Avg: 3.63 / Max: 3.7Min: 2.66 / Avg: 2.88 / Max: 3.25Min: 3.64 / Avg: 3.76 / Max: 3.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.18230.36460.54690.72920.9115SE +/- 0.06, N = 15SE +/- 0.02, N = 12SE +/- 0.02, N = 3SE +/- 0.05, N = 15SE +/- 0.03, N = 15SE +/- 0.01, N = 15SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 15SE +/- 0.00, N = 3SE +/- 0.04, N = 15SE +/- 0.13, N = 30.810.640.630.680.630.610.630.580.720.670.720.640.80MIN: 0.51 / MAX: 27.19MIN: 0.51 / MAX: 30.84MIN: 0.57 / MAX: 9MIN: 0.52 / MAX: 27.01MIN: 0.54 / MAX: 27.09MIN: 0.54 / MAX: 21.62MIN: 0.56 / MAX: 20.82MIN: 0.57 / MAX: 0.84MIN: 0.55 / MAX: 7.89MIN: 0.56 / MAX: 23.74MIN: 0.57 / MAX: 6.28MIN: 0.56 / MAX: 26.92MIN: 0.63 / MAX: 19.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 0.66 / Avg: 0.81 / Max: 1.44Min: 0.58 / Avg: 0.64 / Max: 0.8Min: 0.6 / Avg: 0.63 / Max: 0.68Min: 0.54 / Avg: 0.68 / Max: 1.13Min: 0.55 / Avg: 0.63 / Max: 0.94Min: 0.57 / Avg: 0.61 / Max: 0.78Min: 0.59 / Avg: 0.63 / Max: 0.71Min: 0.57 / Avg: 0.58 / Max: 0.59Min: 0.69 / Avg: 0.72 / Max: 0.75Min: 0.58 / Avg: 0.67 / Max: 1.26Min: 0.71 / Avg: 0.72 / Max: 0.72Min: 0.58 / Avg: 0.64 / Max: 1.15Min: 0.66 / Avg: 0.8 / Max: 1.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10601.19482.38963.58444.77925.974SE +/- 0.07, N = 15SE +/- 0.09, N = 12SE +/- 0.01, N = 3SE +/- 0.06, N = 15SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 15SE +/- 0.15, N = 3SE +/- 0.07, N = 15SE +/- 0.10, N = 33.733.883.443.103.123.293.233.434.163.574.333.935.31MIN: 2.87 / MAX: 23.31MIN: 3.16 / MAX: 22.34MIN: 3.41 / MAX: 3.96MIN: 2.84 / MAX: 21.01MIN: 2.89 / MAX: 20.85MIN: 3.03 / MAX: 22.52MIN: 3.02 / MAX: 18.59MIN: 3.19 / MAX: 21.25MIN: 3.15 / MAX: 21.29MIN: 3.3 / MAX: 22.32MIN: 3.53 / MAX: 24.2MIN: 3.5 / MAX: 21.95MIN: 4.95 / MAX: 24.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 3.35 / Avg: 3.73 / Max: 4.2Min: 3.47 / Avg: 3.88 / Max: 4.49Min: 3.43 / Avg: 3.44 / Max: 3.45Min: 2.89 / Avg: 3.1 / Max: 3.58Min: 2.94 / Avg: 3.12 / Max: 3.42Min: 3.05 / Avg: 3.29 / Max: 3.57Min: 3.05 / Avg: 3.23 / Max: 3.44Min: 3.21 / Avg: 3.43 / Max: 3.56Min: 4.05 / Avg: 4.16 / Max: 4.27Min: 3.34 / Avg: 3.57 / Max: 4.07Min: 4.03 / Avg: 4.33 / Max: 4.53Min: 3.57 / Avg: 3.93 / Max: 4.42Min: 5.21 / Avg: 5.31 / Max: 5.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060510152025SE +/- 0.03, N = 15SE +/- 0.07, N = 12SE +/- 0.04, N = 3SE +/- 0.04, N = 15SE +/- 0.06, N = 15SE +/- 0.05, N = 15SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 15SE +/- 0.14, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 36.284.716.025.687.447.698.208.969.8510.3215.0913.9718.54MIN: 4.88 / MAX: 25.09MIN: 4 / MAX: 20.55MIN: 5.48 / MAX: 23.38MIN: 5 / MAX: 27.84MIN: 6.29 / MAX: 26.19MIN: 6.57 / MAX: 26.43MIN: 6.99 / MAX: 25.35MIN: 7.8 / MAX: 24.64MIN: 8.27 / MAX: 27.4MIN: 9.24 / MAX: 31.92MIN: 12.16 / MAX: 32.96MIN: 11.92 / MAX: 39.63MIN: 17.62 / MAX: 31.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060510152025Min: 6.09 / Avg: 6.28 / Max: 6.5Min: 4.36 / Avg: 4.71 / Max: 5.34Min: 5.96 / Avg: 6.02 / Max: 6.09Min: 5.39 / Avg: 5.68 / Max: 6.11Min: 7.08 / Avg: 7.44 / Max: 7.85Min: 7.47 / Avg: 7.69 / Max: 8.05Min: 8.14 / Avg: 8.2 / Max: 8.28Min: 8.85 / Avg: 8.96 / Max: 9.09Min: 9.64 / Avg: 9.85 / Max: 9.96Min: 10.03 / Avg: 10.32 / Max: 10.65Min: 14.85 / Avg: 15.09 / Max: 15.35Min: 13.7 / Avg: 13.97 / Max: 14.16Min: 18.46 / Avg: 18.54 / Max: 18.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10600.73351.4672.20052.9343.6675SE +/- 0.08, N = 14SE +/- 0.01, N = 11SE +/- 0.16, N = 3SE +/- 0.02, N = 15SE +/- 0.04, N = 13SE +/- 0.03, N = 14SE +/- 0.06, N = 3SE +/- 0.02, N = 2SE +/- 0.04, N = 15SE +/- 0.02, N = 3SE +/- 0.04, N = 15SE +/- 0.19, N = 31.731.311.701.301.521.551.661.741.911.982.382.323.26MIN: 1.22 / MAX: 19.76MIN: 1.18 / MAX: 9.46MIN: 1.36 / MAX: 19.31MIN: 1.22 / MAX: 20.6MIN: 1.39 / MAX: 15.39MIN: 1.44 / MAX: 18.28MIN: 1.52 / MAX: 18.57MIN: 1.62 / MAX: 17.79MIN: 1.62 / MAX: 7.23MIN: 1.8 / MAX: 19.93MIN: 2.08 / MAX: 9.06MIN: 2.11 / MAX: 25.13MIN: 2.96 / MAX: 19.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 1.43 / Avg: 1.73 / Max: 2.2Min: 1.24 / Avg: 1.31 / Max: 1.39Min: 1.39 / Avg: 1.7 / Max: 1.87Min: 1.24 / Avg: 1.3 / Max: 1.57Min: 1.42 / Avg: 1.52 / Max: 1.87Min: 1.49 / Avg: 1.55 / Max: 1.92Min: 1.55 / Avg: 1.66 / Max: 1.76Min: 1.89 / Avg: 1.91 / Max: 1.93Min: 1.85 / Avg: 1.98 / Max: 2.29Min: 2.36 / Avg: 2.38 / Max: 2.43Min: 2.13 / Avg: 2.32 / Max: 2.59Min: 3.03 / Avg: 3.26 / Max: 3.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10601.22632.45263.67894.90526.1315SE +/- 0.06, N = 12SE +/- 0.11, N = 11SE +/- 0.03, N = 3SE +/- 0.07, N = 15SE +/- 0.03, N = 15SE +/- 0.08, N = 15SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 15SE +/- 0.18, N = 3SE +/- 0.06, N = 15SE +/- 0.08, N = 31.961.821.651.721.962.212.002.142.802.563.553.045.45MIN: 1.49 / MAX: 22.41MIN: 1.4 / MAX: 22.36MIN: 1.57 / MAX: 16.93MIN: 1.47 / MAX: 22.17MIN: 1.61 / MAX: 19.29MIN: 1.72 / MAX: 22.49MIN: 1.74 / MAX: 2.9MIN: 1.83 / MAX: 17.66MIN: 1.81 / MAX: 26MIN: 2.18 / MAX: 22.08MIN: 2.36 / MAX: 22.1MIN: 2.39 / MAX: 19.77MIN: 4.92 / MAX: 21.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810Min: 1.74 / Avg: 1.96 / Max: 2.43Min: 1.49 / Avg: 1.82 / Max: 2.5Min: 1.59 / Avg: 1.65 / Max: 1.69Min: 1.53 / Avg: 1.72 / Max: 2.52Min: 1.82 / Avg: 1.96 / Max: 2.26Min: 1.94 / Avg: 2.21 / Max: 2.88Min: 1.99 / Avg: 2 / Max: 2.01Min: 2.1 / Avg: 2.14 / Max: 2.21Min: 2.39 / Avg: 2.8 / Max: 3.04Min: 2.34 / Avg: 2.56 / Max: 3.31Min: 3.2 / Avg: 3.55 / Max: 3.78Min: 2.87 / Avg: 3.04 / Max: 3.69Min: 5.31 / Avg: 5.45 / Max: 5.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1060246810SE +/- 0.08, N = 15SE +/- 0.07, N = 12SE +/- 0.09, N = 3SE +/- 0.08, N = 15SE +/- 0.07, N = 14SE +/- 0.07, N = 15SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 15SE +/- 0.07, N = 3SE +/- 0.04, N = 15SE +/- 0.15, N = 33.883.513.723.303.523.723.843.934.654.436.035.257.62MIN: 2.96 / MAX: 22.65MIN: 2.98 / MAX: 20.05MIN: 3.41 / MAX: 21.31MIN: 2.94 / MAX: 22.59MIN: 3.25 / MAX: 21.15MIN: 3.38 / MAX: 22.49MIN: 3.47 / MAX: 18.13MIN: 3.73 / MAX: 21.52MIN: 3.72 / MAX: 21.74MIN: 4.07 / MAX: 22.33MIN: 4.75 / MAX: 21.46MIN: 4.76 / MAX: 22.66MIN: 7.05 / MAX: 23.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50TITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10603691215Min: 3.37 / Avg: 3.88 / Max: 4.28Min: 3.28 / Avg: 3.51 / Max: 4.17Min: 3.54 / Avg: 3.72 / Max: 3.81Min: 2.96 / Avg: 3.3 / Max: 3.88Min: 3.32 / Avg: 3.52 / Max: 4.3Min: 3.41 / Avg: 3.72 / Max: 4.39Min: 3.56 / Avg: 3.84 / Max: 4.31Min: 3.86 / Avg: 3.93 / Max: 4.08Min: 4.6 / Avg: 4.65 / Max: 4.72Min: 4.18 / Avg: 4.43 / Max: 4.99Min: 5.89 / Avg: 6.03 / Max: 6.1Min: 4.9 / Avg: 5.25 / Max: 5.54Min: 7.44 / Avg: 7.62 / Max: 7.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10603691215SE +/- 0.06, N = 15SE +/- 0.05, N = 12SE +/- 0.05, N = 3SE +/- 0.05, N = 15SE +/- 0.07, N = 15SE +/- 0.05, N = 15SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 15SE +/- 0.17, N = 3SE +/- 0.08, N = 15SE +/- 0.13, N = 37.476.506.566.537.077.027.197.278.547.849.308.589.87MIN: 5.76 / MAX: 49.68MIN: 5.43 / MAX: 43.21MIN: 5.89 / MAX: 39.85MIN: 5.8 / MAX: 39.76MIN: 6.15 / MAX: 40.21MIN: 6.22 / MAX: 40.65MIN: 6.45 / MAX: 39.21MIN: 6.66 / MAX: 39.39MIN: 6.69 / MAX: 41.56MIN: 6.94 / MAX: 43.56MIN: 7.65 / MAX: 39.63MIN: 7.66 / MAX: 46.65MIN: 8.6 / MAX: 40.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 10603691215Min: 7.22 / Avg: 7.47 / Max: 7.98Min: 6.31 / Avg: 6.5 / Max: 6.8Min: 6.46 / Avg: 6.56 / Max: 6.62Min: 6.29 / Avg: 6.53 / Max: 6.84Min: 6.72 / Avg: 7.07 / Max: 7.61Min: 6.79 / Avg: 7.02 / Max: 7.4Min: 6.99 / Avg: 7.19 / Max: 7.52Min: 7.07 / Avg: 7.27 / Max: 7.57Min: 8.27 / Avg: 8.54 / Max: 8.74Min: 7.49 / Avg: 7.84 / Max: 8.43Min: 9.07 / Avg: 9.3 / Max: 9.63Min: 8.13 / Avg: 8.58 / Max: 9.16Min: 9.74 / Avg: 9.87 / Max: 10.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomTITAN RTXRTX 3080RTX 3060 TiRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 Ti


Roller Crusher (PG)'s Specifications,Features or Performance are as Gundlach Industrial Crushers Get Price Here ! How To Improve Coal Crusher Performance. gundlach crushers Stone Crushing Machine, Stone Crusher gundlach crushers. quad roll crusher gundlach. About Us Gundlach Crushers Gundlach designed its first single-stage\nGundlachs 1000 Series Has Roll Crushers- ALUNETH Mining\nRoll Crusher Applications Hitlers Hollywood. Gundlachs 1000 series has roll crushers gundlach crushers applicationscontact a gundlach representative today the innovative roll designs found on the 1000 series are the key to solving your crushing challenges gundlach roll crushers are offered in many different roll configuration options with each configuration thoroughly tested to\nGundlach Roll Crusher Pdf-roller Crusher\nGundlachmodel 36daroll crusher 36" w rolls 2stategundlachmodel 36daroll crusher 36" w rolls 2stateBuygundlachmodel 36daroll crusher 36" w rolls 2state standard duty with 50 hp motor from am king industries request a quote online today, gundlach roll crusher pdf\nLt gundlach roll crusher in dharampethlt gundlach roll crusher in dharampethIndia equipments offering lt gundlach roll crusher crushing systems equipment in dharampeth nagpur maharashtra read about company get, gundlach rolls crushers Xbm Double Teeth Roller Crusher\nHow To Reduce Fine Generation From Coal Double Roll Crusher. How a Roller Crusher Crush Coal Gangue Fote MachineryFTM It is for these reasons that the roll crusher is so favored by brick factories Advantages of roll crusher Advantages of roll crusher The roll crusher is mainly suitable for fine crushing operations with a feed size of less than 150 mm and a finished product size of 100 mesh to 2\nfour roller crusher standard Construction Waste Crusher Construction waste refers to the construction, construction units or individuals to construct, lay or demolish all kinds of buildings, structures and pipe networks, etc., and generate the spoil, spoil, waste, residual mud and other wastes generated during the repairing process.


Winter - Wikipedy\n(Trochwiisd fan Winterdeis)\nYn de winter falt faak in protte snie.\nDe winter is ien fan de fjouwer jiertiden, sa't dy foarkomme yn de poalgebieten en gebieten mei in tuskenbeiden klimaat.\nDe winter fynt plak troch de skeane stân fan de Ierde tsjin de sinne oer. De jiertiid fynt tsjinoersteld op it noardlik- en it súdlik healrûn plak, dat wol sizze: at it op it noardlik healrûn winter is, is it op it súdlik healrûn simmer, en oarsom. Dit komt trochdat as it winter is op it noardlik healrûn, it súdlik part fan de ierde dan nei de sinne ta wiist en it noardlik part fan de sinne ôf.\nWaarkunde[bewurkje seksje | boarne bewurkje]\nYn de waarkunde falt de winter op it noardlik healrûn yn de moannen desimber, jannewaris en febrewaris en op it súdlik healrûn yn de moannen juny, july en augustus.\nYn de stjerrekunde begjint de winter op it noardlik healrûn om 21 desimber hinne, op de wintersinnekear. De sinne stiet dan middeis oan de Stienbokskearkring rjocht oan de himel. Dizze dei falt gear mei de koartste dei fan it jier op it noardlik healrûn. De astronomyske winter einiget op de maitiidevennacht, op 20 maart, somtiden ek op 21 maart, as de sinne middeis oan de evener rjocht oan de himel stiet. Hjirnei begjint de maaitiid. Op it súdlik healrûn begjint de winter rûn 21 juny, as de sinne middeis rjocht oan de himmel op de Kreeftskearkring stiet. De winter einiget hjir om 21 septimber hinne, as de sinne middeis rjocht boppe de evener stiet.\nYn de winter is de temperatuer trochstrings leger as yn de simmer. In oar skaaimerk fan de winter is in protte delslach, ûnder oare yn de foarm fan heil en snie. Ek is de winter ferneamd om de stoarmen en minder sinne as yn de simmer.\nIn protte bisten hâlde yn dizze perioade fan it jier harren wintersliep. Oare bisten, benammen fûgels, lûke nei waarmere gebieten, guon sels hielendal nei it oare healrûn: Foar de noardlike winter fan it noardlik healrûn nei it súdlik healrûn, en foar de súdlike winter oarsom. Ek binne der bisten dy't yn de simmer in protte iten ynslaan en ferstopje, sadwaande hawwe se by't winter genôch iten om dizze tiid troch te kommen.\nWikiwurdboek-side - winter\nOfbylden dy't by dit ûnderwerp hearre, binne te finen yn de kategory Winter fan Wikimedia Commons.\nUntfongen fan "https://fy.wikipedia.org/w/index.php?title=Winter&oldid=973059"\nDizze side is it lêst bewurke op 20 aug 2019 om 23.21.


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by generalsjoes | Jun 16, 2014 | G.I. Joe, G.I. Joe Collectors Club\nby generalsjoes | Jun 16, 2014 | G.I. Joe, G.I. Joe 25th Anniversary, G.I. Joe: A Real American Hero


Finansiering nij soarchsintrum It Amelân no rûn | Omrop Fryslân\nFinansiering nij soarchsintrum It Amelân no rûn\n19 des 2018 - 19:08\nDer is in oerienkomst oer de finansiering foar de Nieuwe Stelp, in nije soarchlokaasje op It Amelân. De KwadrantGroep hie finansjele tasizzingen dien. No't alles ûndertekene is, is der gjin ûnwissens mear oer de finansiering fan de nijbou. Dy soe allinnich trochgean as Kwadrant meibetellet. De gemeente en Kwadrant ha no ôfpraat dat se mei har twaen de nije soarchlokaasje ta stân bringe.\nIt plak dêr't De Stelp no sit - Foto: Google Street View\nDe gemeente bout it nije soarchgebou yn de buert fan de sport- en wolwêzensfoarsjenning Ons Hol yn Hollum. De KwadrantGroep hiert tweintich jier lang in diel fan de nijbou. Dêrnjonken ferkeapet de KwadrantGroep de soarchlokaasje fan no oan de gemeente.\nEarder waard al ôfpraat dat de KwadrantGroep en Thuiszorg Het Friese Land yntegrale âldereinsoarch oanbiede sille op it eilân. Dat hâldt yn dat de grinzen tusken yntramurale en ekstramurale soarch abstrakter wurde. De soarchpartijen wolle ien takomstbestindige soarchorganisaasje ynrjochtsje.\nYn de Nieuwe Stelp komme 24 plakken foar yntinsive soarch, trije plakken foar earstelyns ferbliuwen (foar bygelyks observaasje of it better wurden nei in operaasje), tweintich wenienheden en trije plakken foar begelaat wenjen.\nIn groep Amelanners hat him altyd bot ferset tsjin it nije soarchsentrum. Sy woene it ferhúsplan weromdraaie.\nDe Stelp It Amelân\nProvinsje hat stikken oer Cambuurstadion dochs binnen\nLinda Terpstra troch Opzij ferkeazen ta ien fan meast ynfloedrike froulju


Home>Peripherals > Display Mounts > Price range - €200 - €300\nMonitor Mounts (50)\nMonitor / etc mounts (1)\n1. DUAL MONITOR MOUNT FULL MOTION\n€227.38 Incl Vat\n2. Ergotron LX Sit-Stand Desk Mou\n€243.40 Incl Vat\n3. LX SIDE BY SIDE DUAL ARM POLIS\n€269.99 Incl Vat\n4. Ergotron LX Widescreen Dual Di\n€297.02 Incl Vat\n5. LX DUAL DISPLAY LIFT DESK STAN\n€247.11 Incl Vat\n52 Products Found (Customize Page )\nDesc : All Brands AMER MOUNTS COMPULOCKS ELO TOUCHSYSTEMS ERGOTRON KENSINGTON NEWSTAR NEXT LEVEL RACING STARTECH.COM TRIPP LITE VISION 5 10 20 50 Only show available\nFiltered By: Price range - €200 - €300\nSTARTECH.COM (Elara SKU: MMEV933661)\nDUAL MONITOR MOUNT FULL MOTION MOUNT / GROMMET CLAMP LCD ARM\nERGOTRON (Elara SKU: MMEM480956)\nLX SIDE BY SIDE DUAL ARM POLISHED ALUMINIUM\n100 Available to Ship\nNEWSTAR (Elara SKU: MMEQ610321)\nDESK MOUNT QUAD 10-27IN SILVER 5 MOVEMENTS SILVER LENGTE 500MM\n€255.11 Incl Vat\nERGOTRON (Elara SKU: ECE1352600)\nErgotron Neo-Flex Dual Monitor Wall Mount - Mounting kit for dual flat panel - screen size: 24" - wall-mountable\n€229.99 Incl Vat\nERGOTRON (Elara SKU: ECE1335780)\nErgotron LX Widescreen Dual Display Lift Stand/Triple Monitor Stand - Stand for three smaller displays or two larger displays - black - screen size: up to 21" for 3 displays / up to 30" for 2 displays\nNEWSTAR (Elara SKU: MMEQ610400)\nDESK MOUNT QUAD 10-30IN BLACK STND.MAX 32KG.VESA75X75TO100X100MM\nELO TOUCHSYSTEMS (Elara SKU: MME0V00304)\nKIT FLOOR STAND 5FT TALL REAR-FACING DISPLAY POLE MOUNT K\n€301.94 Incl Vat\n€264.97 Incl Vat\nERGOTRON (Elara SKU: ECE2947311)\nErgotron LX HD Sit-Stand Wall Mount LCD Arm - Wall mount for LCD display - aluminium - polished aluminium - screen size: up to 46"\n€266.21 Incl Vat\nERGOTRON (Elara SKU: ECE2947312)\nErgotron LX HD Sit-Stand Desk Mount LCD Arm - Mounting kit (pole, VESA adapter, sit-stand arm, desk clamp base, grommet-mount base) for LCD display - aluminium - polished aluminium - screen size: up to 46"\nERGOTRON (Elara SKU: MMEM482360)\nLX DUAL SIDE-BY-SIDE ARM MATTE BLACK\n€283.45 Incl Vat\nNEWSTAR (Elara SKU: MMEQ610348)\nWALL MOUNT 10-30IN FULL MOTION SVR.MAX 9KG.VESA100X100TO200X200MM\n€284.70 Incl Vat\nERGOTRON (Elara SKU: ECE1335776)\nErgotron DeskStand DS100 - Stand for 2 LCD displays - aluminium, steel - black - screen size: up to 27"\n€292.09 Incl Vat\nERGOTRON (Elara SKU: ECE2544037)\nErgotron Interactive Arm VHD - Wall mount for LCD display - aluminium - polished aluminium - screen size: 30"-60" - mounting interface: 200 x 100 mm\n€293.32 Incl Vat\nERGOTRON (Elara SKU: MMEM480717)\nLX DUAL DISPLAY LIFT DESK STAND 2 DISPLAYS BLACK\nNEWSTAR (Elara SKU: ECE2191522)\nNewStar Full Motion Desk Mount (clamp) for 10-30" Monitor Screen, Height Adjustable (gas spring) - Silver - Desk mount for LCD display (adjustable arm) - silver - screen size: 10"-30"\n€231.08 Incl Vat\nNEWSTAR (Elara SKU: ECE2876048)\nNewstar Full Motion Desk Mount (grommet) for 10-30" Monitor Screen, Height Adjustable (gas spring) - Silver. Tilt, Turn (left and right) and Rotate desk mount suitable for screens between 10" and 30" and up to 9kg max. Height Adjustable.This model allows\nTRIPP LITE (Elara SKU: MME3F12053)\nDISPLAY MOUNT QUAD FU LL MOTION\nERGOTRON (Elara SKU: ECE4130156)\nErgotron HX Desk Monitor Arm - Mounting kit (articulating arm, desk clamp mount, grommet mount, pivot, mounting hardware, extension part) for Monitor - white - screen size: up to 42" - desktop\n€238.47 Incl Vat\n10 Available to Ship\nERGOTRON (Elara SKU: ECE4130158)\nErgotron HX Wall Mount Monitor Arm - Mounting kit (articulating arm, wall mount, pivot, mounting hardware, extension part) for Monitor - white - screen size: up to 42" - wall-mountable


Icebox Peppermint Yule Log Cake | Cook's Country\nGet into the holiday spirit with this easy dessert pairing peppermint and chocolate.\nWhen developing our Icebox Peppermint Yule Log Cake recipe, we were looking for a modern approach to the classic bûche de Noël that wouldn’t require a day in the kitchen to prepare. We sandwiched Nabisco Famous Chocolate Wafers together wit...


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100% fine merino wool yarn from HadleighGrange on Etsy Studio\nwinding of skein\nSelect an option wound skein loose skein\nMade from 100% organically-raised fine merino here on our farm, our yarn has excellent memory and versatility. Sport weight. Each skein is 200 yards, 70g (2.5oz).\nYou may choose to have the skeins in a loose configuration or in the wound ball configuration, however this is not recommended if the yarn will be stored as it will lose some elasticity over time.\nwool merino fiber yarn fine natural


BOOM! FIREWORKS! President Trump Puts ABC’s Jon Karl on BLAST During Presser – Family Survival Headlines\nBOOM! FIREWORKS! President Trump Puts ABC’s Jon Karl on BLAST During Presser\nCristina Laila from The Gateway Pundit reports, President Trump held another Coronavirus task force briefing on Monday. As usual, the hack reporters would rather argue with President Trump than ask pertinent questions about the ongoing pandemic.\nFIREWORKS! President Trump Blasts ABC’s Jon Karl, “You’re a Third-Rate Reporter!” (VIDEO)\nShare this to Facebook: https://www.facebook.com/sharer.php?u=https://youtu.be/KY3SKovqWhU\nTweet This video: https://twitter.com/home?status=Must%20See!%20https%3A//youtu.be/KY3SKovqWhU\nVarney: We’re seeing crazy, bubble-like speculation\nDiners in Texas HORRIFIED after BLM Shows Up Ruins Their Dinner\nMinneapolis protest, New York Philharmonic, Gaza Ramadan: Week in Photos\nMcEnany torches liberal media’s ‘heinous’ coverage of Russia bounty story