Prêrjewolf - Wikipedy\nDe prêrjewolf of coyote (Latynske namme: Canis latrans) is in sûchdier út it skift fan 'e rôfdieren (Carnivora), de famylje fan 'e hûneftigen (Canidae) en it skaai fan 'e hûnen (Canis), dat lânseigen is yn it grutste part fan Noard-Amearika en teffens yn Midden-Amearika. De prêrjewolf is in stik lytser as de wolf (Canis lupus), dêr't er net mei betize wurde moat. Fanwegen syn lichemsgrutte en de ekologyske nys dy't er ynnimt, wurdt dit bist ek wol de Amerikaanske jakhals neamd.\nIt ferspriedingsgebiet fan 'e prêrjewolf.\nDizze side giet oer de bistesoart coyote. Foar oare betsjuttings, sjoch: coyote (betsjuttingsside).\nDe prêrjewolf ûntjoech him lykwols ûnder it Pleistoseen, sa'n 1,8 miljoen jier lyn, yn Noard-Amearika, en is nauwer besibbe mei de wolf as mei de jakhalzen fan Afrika en Jeraazje. Oars as dat mei de wolf it gefal is, hat de prêrjewolf krekt baat ûnderfûn fan 'e opmars fan 'e minske, û.m. om't er him maklik oanpast oan it libben yn stêden en oare troch de minske makke biotopen, en teffens om't de minske op in protte plakken war dien hat om 'e wolf út te rûgjen, dy't de grutste natuerlike konkurrint en fijân fan 'e prêrjewolf is. De prêrjewolf spilet fierders in wichtige rol yn 'e mytology fan ferskate Noardamerikaanske Yndiaanske folken, yn 'e foarm fan Coyote, in godheid en trickster.\n6 Krusings mei hûnen en wolven\nDe namme 'prêrjewolf' is ûntliend oan 'e prêrjes, de gersflakten fan Noard-Amearika, dy't in grut part fan it ferspriedingsgebiet fan 'e prêrjewolf útmeitsje. Nettsjinsteande dat komt dit bist ek foar yn bergen, wâlden en woastinen. De alternative namme 'coyote' komt fan it Ingelske coyote (útsprutsen mei trije of twa wurdlidden, as "kojoté" of "kojoot"), dat ûntliend is oan 'e Spaanske beneaming coyote (altyd trije wurdlidden), dat wer weromgiet op it Azteekske wurd cóyotl, dat "trickster" betsjut (yn 'e mytologyske betsjutting) of gewoan "skarlún". De wittenskiplike namme Canis latrans is Latyn foar "blaffende hûn".\nDe prêrjewolf is lânseigen yn it grutste part fan Noard-Amearika, ynklusyf guon eilannen foar de kust, lykas Vancouvereilân, de Keninginne Sjarlotte-eilannen, Prins Edwardeilân en Kaap Bretoneilân. Oarspronklik wied er yn syn fersprieding beheind ta it westlike part fan Noard-Amearika, mar sûnt de kolonisaasje fan dat kontinint troch de blanken hat er him almar mear nei it easten ta ferpraat. De prêrjewolf komt lykwols net foar yn súdwestlik Alaska, en yn Kanada ûntbrekt er yn 'e noardeastlike helte fan 'e Noardwestlike Territoaria, hiel Nûnavût, Labrador en Nijfûnlân, it noardeasten fan Saskatchewan en it noarden fan Manitoba, Ontario en Kebek.\nYn 'e legere achtenfjirtich Feriene Steaten komt er oeral foar behalven yn in grut diel fan 'e súdeastlike steaten: yn Floarida, Georgia, de Karolina's, Firginia, West-Firginia, Tennessee, Kentucky, Delaware, Nij-Jersey en op Long Island ûntbrekt er hielendal of hast hielendal, wylst Marylân, Pennsylvania en Ohio mar foar in part ta syn ferspriedingsgebiet hearre. Fierders mist er ek yn in smelle stripe lân fan 'e Florida Panhandle by de kust fan 'e Golf fan Meksiko lâns nei Louisiana en yn 'e Mississippydelta. Fierder súdlik libbet de prêrjewolf yn hiel Meksiko útsein op it Jûkatan-skiereilân. Teffens komt er yn Midden-Amearika foar yn in stripe by de kust fan 'e Stille Oseaan lâns oant yn Panama.\nIn prêrjewolf yn profyl.\nDe prêrjewolf hat trochinoar in kop-romplingte fan 76-86 sm, mei in sturtlingte fan 30-41 sm en in skofthichte fan 58-66 sm. Syn gewicht rint útinoar fan 6,8-20,9 kg. Eksimplaren fan 'e noardlike ûndersoarten binne yn trochsneed in stik grutter en swierder as har súdlike soartgenoaten. De grutste prêrjewolf dy't ea opmetten is, wie fan 'e snút oant de punt fan 'e sturt 1.75 m lang, en hie in gewicht fan 33,9 kg. De pels fan 'e prêrjewolf rint yn kleur útinoar fan griisbrún oant gielgrizich op it boppelichem, wylst de kiel en de bealch ljochter binne, witich of bêzje. De foarpoaten, de sydkanten fan 'e kop, en de snút binne readich brún, wylst der oer de rêch fan 'e boppekant fan 'e kop oant de ein fan 'e sturt in brede dûnkergrize of swarte streek rint, mei in krús boppe de skouders. De sturtpunt is ek swart. Eksimplaren dy't yn 'e bergen libje, binne dûnkerder fan kleur, wylst eksimplaren út 'e woastyn krekt ljochter as gemiddeld binne.\nDe snút is by de prêrjewolf spitser as by de wolf, en de earen binne tige grut yn ferhâlding ta de kop. De poaten binne krekt lyts yn ferhâlding ta de rest fan it lichem. De sturt is boarstelich en kin suver wol foar in plomsturt trochgean. De tosken fan binne tige skerp en bedoeld foar it snijen fan fleis. Prêrjewolven kinne lûden oant 80 kHz hearre, wat in tige hege frekwinsje is; de hûn heart mar oan 60 kHz. As er efterneisitten wurdt, en it der dus op oankomt, kin de prêrjewolf in faasje fan 69 km yn 'e oere helje, wêrmei't it ien fan 'e fluchste bisten fan Noard-Amearika is. Ek kin er 4 m fier springe.\nIn boerd dat it fuorjen fan prêrjewolven ûntmoedigje moat, om't soks derta liede kin dat de bisten minsken mei iten begjinne te assosjearjen.\nNettsjinsteande de namme 'prêrjewolf' komme prêrjewolven yn in grut ferskaat oan biotopen foar en lykje se har like thús te fielen op 'e prêrje, yn it wâld, yn 'e bergen of yn 'e woastyn. Se passe har tige maklik oan en hawwe der gjin swierrichheden mei om yn grutte stêden of oare troch de minsken makke fermiddens te libjen. Yn sompen binne se lykwols minder thús en dy mije se leaver.\nPrêrjewolven libje solitêr of yn lytse troepkes fan likernôch seis nau besibbe eksimplaren (âlden, healwoeksen bisten en jongen). Hoewol't se waarnommen binne wylst se yn gruttere groepen omdoarmen, jeie se yn 'e regel allinnich of yn pearkes. Prêrjewolvetroepen binne minder stabyl as wolvetroepen, in gegeven dat saakkundigen taskriuwe oan it feit dat prêrjewolven earder folgroeid en geslachtsryp binne as wolven (mei 1 jier ynstee fan 2 jier), en dat se dêrom earder agresje foarinoar oer toane.\nOarspronklik wie de prêrjewolf in deidier, mar ûnder druk fan 'e minske hat er him ûntjûn ta in bist dat yn it foarste plak in nachtdier is, al is er ek deis noch wol aktyf yn gebieten dêr't dat feilich is (net yn stêden of oare tichtbewenne kriten). Prêrjewolven kinne har eigen hoalen grave en dogge dat ek wol, mar jouwe der gauris de foarkar oan om besteande hoalen fan sulverdassen of prêrjehûnen oer te nimmen. Hja hawwe in territoarium dat wol in gebiet mei in middelline fan 19 km om harren hoale hinne beslaan kin. Dêrbinnen meitsje se faak gebrûk fan fêste paden. Krekt as oare hûneftigen sette prêrjewolven har territoarium ôf mei urine.\nIn nijberne prêrjewolvejong.\nDe peartiid falt by de prêrjewolf tusken ein jannewaris en begjin maart, wêrby't de wyfkes elts ien kear 2-5 dagen loopsk binne. As in wyfke ienris in mantsje útkeazen hat, komt it foar dat it pear jierrenlang monogaam bliuwt. De draachtiid duorret 60-63 dagen, wêrnei't it wyfke 1-19 jongen smyt. De mânske grutte fan 'e smeten is in evolúsjonêre oanpassing dy't de stjerte fan 50-70% ûnder prêrjewolvejongen kompinsearje moat. By de berte weagje de bline en slopearige jongen likernôch 250 g, mar se groeie folle flugger as wolvejongen. Mei 10 dagen geane de eagen iepen en komme de earen rjochtop te stean. Mei 21-28 dagen komme se foar it earst út 'e hoale en mei 35 dagen wurde se ôfwûn.\nPrêrjewolvejongen wurde fersoarge troch beide âlden, en it is gjin útsûndering dat in prêrjewolvepear de jongen fan oare prêrjewolven adoptearret as de oarspronklike âlden omkommen binne. Sadree't de jongen ôfwûn binne, wurde se fuorre mei fleis dat troch de âlden opkoarre wurdt. Prêrjewolvejongen lykje makliker te learen troch observaasje as dat by hûnen it gefal is. Jonge rikels ferlitte de âlden ornaris as se tusken 6 en 9 moanne âld binne, wylst jonge teven faak by de âlden yn 'e troep bliuwe. Mei 12 moannen binne de jongen geslachtsryp. Prêrjewolven hawwe in libbensferwachting fan maksimaal 18 jier yn finzenskip, wylst se yn it wyld op syn heechsten 14½ jier libje.\nDe wichtichste natuerlike fijân fan 'e prêrjewolf is de grize wolf (Canis lupus), dy't de prêrjewolf sjocht as in konkurrint, en him deadet wannear't er kin. Nettsjinsteande it feit dat prêrjewolf in stik lytser is as de grize wolf, falt dat noch net ta, want prêrjewolven binne oansjenlik flugger en soms ek slûchslimmer. Ien snoade taktyk dy't se op heuvelich of bercheftich terrein foar de moade hawwe, is om by de lichte del by in wolf wei te draven. As de wolf dan de efterfolging ynset, keart de prêrjewolf om en draaft by de skeante op. De folle swierdere wolf hat dan muoite om te stopjen en om te kearen, sadat de prêrjewolf in grutte foarsprong opbouwe kin. Hoewol't fysike konfrontaasjes yn 'e regel yn it foardiel fan 'e wolf beslist wurde, komt it foar dat prêrjewolven út eigen beweging in wolf oanfalle as se in grutte nûmerike oermacht hawwe. Beide soarten deadzje inoars jongen as se dêr de kâns ta krije. Guon skieppeboeren brûke wolvemiich om oanfallen fan prêrjewolven op harren keppel tsjin te gean.\nOare natuerlike fijannen fan 'e prêrjewolf binne de poema (Puma concolor) en soms de grizzlybear (Ursus arctos horribilis). Yn konfrontaasjes mei de reade lynks (Lynx rufus) en de Kanadeeske lynks (Lynx canadensis) dominearret de prêrjewolf oer it algemien. De foks (Vulpes vulpes) en de grize foks (Urocyon cinereoargenteus) foarmje gjin gefaar foar de prêrjewolf, en mije prêrjewolven yn 'e regel safolle mooglik. Mei de sulverdas (Taxidea taxus) foarmje prêrjewolven soms in gearwurkingsferbân yn 'e jacht op kjifdieren, wêrby't de prêrjewolf boppegrûnsk wachtet oant de das de proaidieren ûndergrûnsk útgraaft.\nKrusings mei hûnen en wolvenBewurkje\nSoms pearje prêrjewolven mei hûnen, benammen yn gebieten lykas Teksas en Oklahoma, dêr't grutte populaasjes prêrjewolven besteane en de peartiid langer duorret fanwegen it waarme klimaat. De krusingen dy't út sokke pearings fuortkomme, wurde coydogs neamd (in gearlûking fan coyote en dog). Sokken behâlde de rôfdiermentaliteit fan 'e prêrjewolf, mar keppelje dy oan it brekme oan skouwens dat de hûn foar de minske oer hat. Coydogs binne dêrom gefaarliker foar minsken as folbloed-prêrjewolven.\nInkeld pearje prêrjewolven ek mei wolven, meast fan 'e eastlike ûndersoarten fan 'e grize wolf, hoewol't soks minder foarkomt as pearings mei hûnen, om't wolven fan natuere fijannich foar prêrjewolven oer steane. De krusings fan prêrjewolven en wolven wurde coywolves neamd, en binne grutter as prêrjewolven mar lytser as wolven. Sokken komme benammen yn Nij-Ingelân, de Kanadeeske Kustprovinsjes en Sintraal Kanada foar. By in wittenskiplik ûndersyk yn 'e Amerikaanske steat Maine die bliken dat fan 'e hûndert prêrjewolven 22 eksimplaren foar 50% of mear wolve-DNA hiene. Guon mammalogen binne fan betinken dat de reade wolf (Canis rufus) eins fuortkomt út krusings tusken de grize wolf (Canis lupus) en de prêrjewolf.\nIn prêrjewolf fret fan in wapitykadaver.\nPrêrjewolven wurde gauris omskreaun as karnivoaren, mar eins binne it opportunistyske omnivoaren. Se jeie benammen op lytse sûchdieren, lykas fjildmûzen, prêrjehûnen, kninen, grûniikhoarntsjes en mûzen, mar ek wol op fûgels, slangen, hagedissen, lytse harten, ynsekten en oare wringeleazen en, net te ferjitten, lytsfee, lykas skiep, geiten en keallen (wêrmei't se har tige hate makke hawwe by feehâlders). Troepen prêrjewolven binne by steat om in grut hart, lykas in wapity, te bejeien.\nPrêrjewolven frette ek aaien fan lykfol hokker fûgel dy't op 'e grûn nêstelet, en se binne ek net fiis fan ies, hoewol't se de foarkar jouwe oan farsk fleis. Simmerdeis en hjerstmis foarmje fruchten en oar plantaardich materiaal in oansjenlik diel fan it menu. Yn 'e stêden en op jiskebulten kinne se fierders maklik har kostje gearsykje út ôffal dat troch minsken efterlitten wurdt. Stedske populaasjes prêrjewolven frette brune en swarte rotten, kninen en soms ek lytsere húsdieren, lykas katten en lytse hûnen.\nIn prêrjewolf besiket in skiep te smoaren.\nDe prêrjewolf hat de IUCN-status fan "net bedrige", mei't er yn syn ferspriedingsgebiet noch rûnom foarkomt en om't de populaasje stabyl liket te wêzen. Dat nettsjinsteande it feit dat er, benammen yn 'e legere achtenfjirtich Feriene Steaten, fûleindich bejage wurdt troch jachtopsjenners, feehâlders en oare plattelânbewenners. Allinnich al amtners dy't foar de Amerikaanske oerheid wurkje, binne jiers ferantwurdlik foar it ôfsjitten, fergiftigjen en op oare wizen deadzjen fan 90.000 prêrjewolven. De reden foar dy ferfolging is it feit de prêrjewolf op 't heden yn 'e westlike helte fan Noard-Amearika it wichtichste rôfdier is dat it op fee foarsjoen hat. Yn gebieten dêr't de wolf troch de minske útrûge is, florearret de prêrjewolf yn 'e regel. Dat is bygelyks sa yn Nij-Ingelân, dêr't de prêrjewolf de ekologyske nys fan 'e wolf oernommen hat.\nOanfallen fan 'e prêrjewolf op 'e minske komme net faak foar en resultearje selden yn slimme ferwûnings. Yn 'e tritich jier foarôfgeande oan maart 2006 waarden der yn 'e Feriene Steaten 160 prêrjewolve-oanfallen melden, wêrfan't fierwei de measten yn it gebiet om Los Angeles hinne plakfûnen. Om't prêrjewolven yn 'e stêden net troch de minske bejage wurde, ferlieze se dêr har skouwens. Dat hat deryn resultearre dat soms hurddravers, fytsers en kuierders efterfolge of oanfallen binne. Faak konsintrearje se har dêrby op bern ûnder de tsien jier, om't dy fanwegen behindige lichemsgrutte makliker proaien binne. Undersyk hat útwiisd dat it by sokke oanfallen yn 'e eastlike Feriene Steaten en eastlik Kanada frijwol altyd om coywolves giet ynstee fan om echte prêrjewolven.\nFersprieding fan 'e ûndersoarten fan 'e prêrjewolf.\nDer binne 19 (stân fan saken yn 2016) erkende ûndersoarten fan 'e prêrjewolf:\nde Meksikaanske prêrjewolf (Canis latrans cagottis)\nde San Pedro Martir-prêrjewolf (Canis latrans clepticus)\nde Salvadoraanske prêrjewolf (Canis latrans dickeyi)\nde súdeastlike prêrjewolf (Canis latrans frustor)\nde Belizaanske prêrjewolf (Canis latrans goldmani)\nde Hondoereeske prêrjewolf (Canis latrans hondurensis)\nde Durango-prêrjewolf (Canis latrans impavidus)\nde noardlike prêrjewolf (Canis latrans incolatus)\nde Tiburóneilânske prêrjewolf (Canis latrans jamesi)\nde flakteprêrjewolf (Canis latrans latrans)\nde berchprêrjewolf (Canis latrans lestes)\nde mearnsprêrjewolf of Mearns' prêrjewolf (Canis latrans mearnsi)\nde Neder-Rio Grande-prêrjewolf (Canis latrans microdon)\nde Kalifornyske dellingprêrjewolf (Canis latrans ochropus)\nde Skiereilânske prêrjewolf (Canis latrans peninsulae)\nde Teksaanske flakteprêrjewolf (Canis latrans texensis)\nde noardeastlike prêrjewolf (Canis latrans thamnos)\nde Noardwestkustprêrjewolf (Canis latrans umpquensis)\nde Colima-prêrjewolf (Canis latrans vigilis)\nûnbeskate fariëteiten fan 'e prêrjewolf (Canis latrans "var.")\nFoar boarnen en oare literatuer, sjoch ûnder: References en Further reading op dizze side.\nOfbylden dy't by dit ûnderwerp hearre, binne te finen yn de kategory Coyote fan Wikimedia Commons.\nOpfrege fan "https://fy.wikipedia.org/w/index.php?title=Prêrjewolf&oldid=1016279"\nLêst bewurke op 13 okt 2020 om 12.04\nDizze side is it lêst bewurke op 13 okt 2020 om 12.04.


Aksjes by it provinsjehûs | Omrop Fryslân (advertinsje)\nAksjes by it provinsjehûs 15 feb 2010 - 09:45\n0 reaksjes Aksjes op it provinsjehûs\nDe fakbûnen FNV en CNV hawwe fan 'e moarn fan sân oere ôf poarte-aksjes holden by it provinsjehûs. De fakbûnen wolle sa harren ûnfrede oer de CAO ûnderhannelings krêft bysette. Neffens de bûnen wegeret it provinsjebestjoer op de easken fan it personiel yn te gean. Se slute hurdere aksjes net út. Tiisdei wurdt der noch in byienkomst holden yn it provinsjehûs werby in petysje oanbean wurdt oan it kolleezje fan deputearre steaten.\nKorreksje meldeTrefwurden: argyfLês foarView the discussion thread.Diel dit berjocht op: 15-02Fjouwer auto's iepenbrutsen 15-02Hast skok foar Sven Besjoch ek...


Rouxlene Sheridan (rouxlenes) on Pinterest\nKids ChartsChore IdeasChore ChartsParenting 101Raising KidsChores For Kids By AgeBaby Sleep ScheduleBabysittingKid KidChild DisciplineParentingDisciplining ChildrenForward\nAs a kid, I was not a fan of chores. Now that I'm a parent, I’ve decided: Chores.\nQuote Tattoo For GuysIm Fine Save Me TattooGoddess QuotesRheumatoid ArthritisA TattooLife Goes On TattooJust Live TattooMy Life IsNo Matter WhatWhite SweatersWriting TableMotivational WordsGood QuotesEtchingsPicture FramePositivityLife Goes OnEl CaminoGet A LifeTextsTruthsWordsMy StyleLifestyleAcrylic ArtYou're WelcomeAcrylicsFavorite QuotesThe WordsThoughtsForward\nOne thing I have learned during my life is that no matter how bad things get, or how happy, Life goes on.\nHeels QuotesHigh Heel QuotesHigh QuotesGuys Quotes To GirlsClassy Girl QuotesGirly QuotesFunny Girl FactsBoy FactsThe Office FactsSmileThoughtsWisdomAnimated CartoonsOne DayMy StyleShoeInteresting QuotesRemember ThisMy FamilyRunningFunnyHilariousHealthy MindEnglish QuotesGirly StuffSo TruePostcardsLyricsQuotes MotivationMy WorldForward\nI'm HurtRemember ThisTrue StoriesLife LessonsTruthsSo TrueWisdomLiveSayingsTrue LoveFeelingsWordsLove Of My LifeDatingQuotes LoveThoughtsMad LoveQuoteWisdom WordsHome IdeasThe WordsMy HeartMy FeelingsMy Other HalfHidden LettersPicture WallHeartbeatPrincessesTypographyIm HurtForward


OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000120240360480600SE +/- 0.63, N = 3SE +/- 0.19, N = 3SE +/- 0.54, N = 3SE +/- 2.53, N = 3SE +/- 1.96, N = 3SE +/- 2.14, N = 3SE +/- 4.48, N = 3SE +/- 1.18, N = 3509451329503498533538533\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000100200300400500Min: 508 / Avg: 508.63 / Max: 509.9Min: 450.4 / Avg: 450.77 / Max: 451Min: 328.3 / Avg: 329.33 / Max: 330.1Min: 499.2 / Avg: 503 / Max: 507.8Min: 494.2 / Avg: 498.07 / Max: 500.6Min: 529.6 / Avg: 533.33 / Max: 537Min: 532.4 / Avg: 537.93 / Max: 546.8Min: 531.6 / Avg: 533.2 / Max: 535.5\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100012002400360048006000SE +/- 9.37, N = 3SE +/- 4.54, N = 3SE +/- 4.16, N = 3SE +/- 3.71, N = 3SE +/- 13.06, N = 3SE +/- 15.03, N = 3SE +/- 15.25, N = 3SE +/- 1.82, N = 350274425313749985039547654595458\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100010002000300040005000Min: 5009.4 / Avg: 5026.5 / Max: 5041.7Min: 4417.2 / Avg: 4425.3 / Max: 4432.9Min: 3130 / Avg: 3137.37 / Max: 3144.4Min: 4991.1 / Avg: 4998.33 / Max: 5003.4Min: 5022.9 / Avg: 5039.17 / Max: 5065Min: 5451.3 / Avg: 5476.03 / Max: 5503.2Min: 5441.9 / Avg: 5458.77 / Max: 5489.2Min: 5454.5 / Avg: 5458.07 / Max: 5460.5\nOpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 208060120180240300Min: 51.4 / Avg: 207.26 / Max: 353.6Min: 49.9 / Avg: 209.74 / Max: 336.6Min: 52.1 / Avg: 190.47 / Max: 278.4\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10008001600240032004000SE +/- 1.96, N = 3SE +/- 6.13, N = 3SE +/- 12.13, N = 3SE +/- 0.78, N = 3SE +/- 4.43, N = 3SE +/- 12.04, N = 3SE +/- 6.09, N = 3SE +/- 2.00, N = 335773351237835673603391939123897\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10007001400210028003500Min: 3573.3 / Avg: 3576.97 / Max: 3580Min: 3343 / Avg: 3351.37 / Max: 3363.3Min: 2362.8 / Avg: 2377.53 / Max: 2401.6Min: 3566 / Avg: 3567.4 / Max: 3568.7Min: 3594.8 / Avg: 3602.73 / Max: 3610.1Min: 3895.8 / Avg: 3919.07 / Max: 3936.1Min: 3901.1 / Avg: 3911.83 / Max: 3922.2Min: 3893.1 / Avg: 3896.73 / Max: 3900\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100030060090012001500SE +/- 1.11, N = 3SE +/- 0.68, N = 3SE +/- 2.14, N = 3SE +/- 1.20, N = 3SE +/- 2.08, N = 3SE +/- 3.93, N = 3SE +/- 3.24, N = 3SE +/- 1.46, N = 31134101673211181139123512331224\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10002004006008001000Min: 1132.3 / Avg: 1133.83 / Max: 1136Min: 1015.3 / Avg: 1016.03 / Max: 1017.4Min: 729.2 / Avg: 731.53 / Max: 735.8Min: 1115.8 / Avg: 1117.67 / Max: 1119.9Min: 1136.7 / Avg: 1139.4 / Max: 1143.5Min: 1229.7 / Avg: 1234.63 / Max: 1242.4Min: 1227 / Avg: 1233.27 / Max: 1237.8Min: 1220.8 / Avg: 1223.6 / Max: 1225.7\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10004080120160200SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.32, N = 3SE +/- 0.54, N = 3SE +/- 0.33, N = 3SE +/- 0.21, N = 3SE +/- 0.44, N = 3152136102147148159158158\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000306090120150Min: 152.2 / Avg: 152.47 / Max: 152.7Min: 135.3 / Avg: 135.5 / Max: 135.7Min: 101.6 / Avg: 102.03 / Max: 102.3Min: 146.2 / Avg: 146.57 / Max: 147.2Min: 146.9 / Avg: 147.93 / Max: 148.7Min: 158.2 / Avg: 158.67 / Max: 159.3Min: 157.9 / Avg: 158.3 / Max: 158.6Min: 157.5 / Avg: 158.03 / Max: 158.9\nOpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 208060120180240300Min: 53.4 / Avg: 183.94 / Max: 352.4Min: 50.7 / Avg: 199.93 / Max: 341.9Min: 48.2 / Avg: 167.92 / Max: 285.5\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100060120180240300SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.30, N = 3244207152244248269268268\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16TITAN RTXRTX 2080 TiRTX 2080NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100050100150200250Min: 243.6 / Avg: 244 / Max: 244.4Min: 206.5 / Avg: 206.67 / Max: 206.8Min: 151.4 / Avg: 151.7 / Max: 152.1Min: 243.8 / Avg: 244.3 / Max: 244.9Min: 247.2 / Avg: 247.53 / Max: 247.9Min: 268.4 / Avg: 268.7 / Max: 268.9Min: 267.8 / Avg: 268.03 / Max: 268.5Min: 266.9 / Avg: 267.5 / Max: 267.8\nOpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsTITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10000.04550.0910.13650.1820.2275SE +/- 0.00131, N = 3SE +/- 0.00169, N = 3SE +/- 0.00394, N = 3SE +/- 0.00039, N = 3SE +/- 0.00165, N = 15SE +/- 0.00153, N = 3SE +/- 0.00025, N = 30.191350.191290.202130.145900.160770.156940.14778\nOpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsTITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100012345Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.2 / Avg: 0.2 / Max: 0.21Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.16 / Max: 0.17Min: 0.15 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15\nOpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10004K8K12K16K20KSE +/- 21.73, N = 3SE +/- 14.18, N = 3SE +/- 2.83, N = 3SE +/- 3.45, N = 15SE +/- 94.90, N = 3SE +/- 558.62, N = 15SE +/- 97.09, N = 31691116048106901301896417671187741. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2\nOpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10003K6K9K12K15KMin: 16868.5 / Avg: 16911.33 / Max: 16939.14Min: 16021.91 / Avg: 16047.9 / Max: 16070.73Min: 10685.73 / Avg: 10689.55 / Max: 10695.07Min: 94.88 / Avg: 129.67 / Max: 136.29Min: 18774.24 / Avg: 18964.04 / Max: 19058.94Min: 13203.07 / Avg: 17670.56 / Max: 18986.29Min: 18581.63 / Avg: 18774.16 / Max: 18892.271. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2\nOpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100060120180240300SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.39, N = 3SE +/- 0.32, N = 3SE +/- 0.53, N = 3SE +/- 1.19, N = 3SE +/- 1.08, N = 3293294233271280282282\nOpenBenchmarking.orgNs Per Day Per Core, More Is BetterFAHBench 2.3.2Performance Per CoreTITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100081624324036.6336.7529.1322.5823.3323.5023.501. TITAN RTX: Detected core count of 82. RTX 2080 Ti: Detected core count of 83. RTX 2080: Detected core count of 84. Dual TITAN RTX stock: Detected core count of 125. Dual TITAN RTX OC - GPU+185,Mem+1000: Detected core count of 126. Dual TITAN RTX OC - GPU+175,Mem+1000: Detected core count of 127. Dual TITAN RTX OC - GPU+150,Mem+1000: Detected core count of 12\nOpenBenchmarking.orgNs Per Day Per Thread, More Is BetterFAHBench 2.3.2Performance Per ThreadTITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100051015202518.3118.3814.5611.2911.6711.7511.751. TITAN RTX: Detected thread count of 162. RTX 2080 Ti: Detected thread count of 163. RTX 2080: Detected thread count of 164. Dual TITAN RTX stock: Detected thread count of 245. Dual TITAN RTX OC - GPU+185,Mem+1000: Detected thread count of 246. Dual TITAN RTX OC - GPU+175,Mem+1000: Detected thread count of 247. Dual TITAN RTX OC - GPU+150,Mem+1000: Detected thread count of 24\nOpenBenchmarking.orgNs Per Day Per GHz, More Is BetterFAHBench 2.3.2Performance Per ClockTITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10002040608010058.6058.8046.6077.4380.0080.5780.571. TITAN RTX: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.002. RTX 2080 Ti: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.003. RTX 2080: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.004. Dual TITAN RTX stock: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 5. Dual TITAN RTX OC - GPU+185,Mem+1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 6. Dual TITAN RTX OC - GPU+175,Mem+1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50 7. Dual TITAN RTX OC - GPU+150,Mem+1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50\nOpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080Dual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100050100150200250Min: 293.01 / Avg: 293.42 / Max: 293.65Min: 292.97 / Avg: 293.54 / Max: 293.99Min: 232.45 / Avg: 233.08 / Max: 233.79Min: 270.32 / Avg: 270.93 / Max: 271.42Min: 279.08 / Avg: 279.78 / Max: 280.82Min: 280.23 / Avg: 281.56 / Max: 283.93Min: 279.43 / Avg: 281.56 / Max: 282.89\nOpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 20800.31730.63460.95191.26921.58651.361.411.29\nOpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 20801632486480Min: 37 / Avg: 67.01 / Max: 79Min: 48 / Avg: 65.76 / Max: 77Min: 46 / Avg: 70.67 / Max: 83\nOpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPNVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000400800120016002000SE +/- 3.79, N = 3SE +/- 0.37, N = 3SE +/- 4.43, N = 3SE +/- 3.35, N = 3SE +/- 0.17, N = 3157015781694169816971. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft\nOpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPNVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100030060090012001500Min: 1563.69 / Avg: 1570.39 / Max: 1576.81Min: 1577.02 / Avg: 1577.72 / Max: 1578.28Min: 1685.27 / Avg: 1694.13 / Max: 1698.8Min: 1691.37 / Avg: 1698.04 / Max: 1701.93Min: 1696.42 / Avg: 1696.75 / Max: 1696.971. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyNVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000110220330440550SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 34864865155155161. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyNVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100090180270360450Min: 485.6 / Avg: 485.9 / Max: 486.1Min: 485.9 / Avg: 486.17 / Max: 486.3Min: 515 / Avg: 515.13 / Max: 515.3Min: 514.9 / Avg: 515.1 / Max: 515.4Min: 515.3 / Avg: 515.77 / Max: 516.41. (CC) gcc options: -O2 -flto -lOpenCL\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100070140210280350SE +/- 0.70, N = 3SE +/- 0.95, N = 3SE +/- 0.54, N = 3SE +/- 6.27, N = 3SE +/- 0.82, N = 3298299321318321\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100060120180240300Min: 297.7 / Avg: 298.4 / Max: 299.8Min: 297.4 / Avg: 299.1 / Max: 300.7Min: 320.6 / Avg: 321.23 / Max: 322.3Min: 305.5 / Avg: 318.03 / Max: 324.4Min: 319.4 / Avg: 321 / Max: 322.1\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10004080120160200SE +/- 0.35, N = 3SE +/- 0.20, N = 3SE +/- 0.29, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3162165178178177\nOpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32NVIDIA TITAN RTX - AMD Ryzen Threadripper 1920X 12-CoreDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000306090120150Min: 161.2 / Avg: 161.73 / Max: 162.4Min: 164.3 / Avg: 164.63 / Max: 165Min: 177 / Avg: 177.53 / Max: 178Min: 177.3 / Avg: 177.5 / Max: 177.9Min: 177 / Avg: 177.13 / Max: 177.3\nOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Boat - Acceleration: OpenCLDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10000.38480.76961.15441.53921.924SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.691.711.681.68\nOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Boat - Acceleration: OpenCLDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000246810Min: 1.68 / Avg: 1.69 / Max: 1.71Min: 1.7 / Avg: 1.71 / Max: 1.71Min: 1.67 / Avg: 1.68 / Max: 1.7Min: 1.67 / Avg: 1.68 / Max: 1.69\nOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Room - Acceleration: OpenCLDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10000.1710.3420.5130.6840.855SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.750.760.760.76\nOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Room - Acceleration: OpenCLDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000246810Min: 0.74 / Avg: 0.75 / Max: 0.76Min: 0.76 / Avg: 0.76 / Max: 0.77Min: 0.75 / Avg: 0.76 / Max: 0.76Min: 0.75 / Avg: 0.76 / Max: 0.76\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10000.991.982.973.964.95SE +/- 0.06, N = 5SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 34.404.124.114.121. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgSeconds x Core, Fewer Is BetterRodinia 2.4Performance Per Core - Test: OpenCL Particle FilterDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000122436486052.8049.4449.3249.441. Detected core count of 12\nOpenBenchmarking.orgSeconds x Thread, Fewer Is BetterRodinia 2.4Performance Per Thread - Test: OpenCL Particle FilterDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+100020406080100105.6098.8898.6498.881. Detected thread count of 24\nOpenBenchmarking.orgSeconds x GHz, Fewer Is BetterRodinia 2.4Performance Per Clock - Test: OpenCL Particle FilterDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10004812162015.4014.4214.3914.421. Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.50\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000246810Min: 4.31 / Avg: 4.4 / Max: 4.65Min: 4.1 / Avg: 4.12 / Max: 4.13Min: 4.09 / Avg: 4.11 / Max: 4.16Min: 4.1 / Avg: 4.12 / Max: 4.151. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Double PrecisionDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+1000246810SE +/- 0.09, N = 15SE +/- 0.15, N = 15SE +/- 0.00, N = 3SE +/- 0.13, N = 47.157.657.927.741. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2\nOpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Double PrecisionDual TITAN RTX stockDual TITAN RTX OC - GPU+185,Mem+1000Dual TITAN RTX OC - GPU+175,Mem+1000Dual TITAN RTX OC - GPU+150,Mem+10003691215Min: 6.34 / Avg: 7.15 / Max: 7.35Min: 6.37 / Avg: 7.65 / Max: 7.98Min: 7.91 / Avg: 7.92 / Max: 7.92Min: 7.36 / Avg: 7.74 / Max: 7.871. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2


Injen High Performance Air Filter - 3.00 Black Filter 6" Base / 5" Tall / 5" Top\nProduct Code: INJ-X-1014-BR\nUniversal High Performance Air Filter by Injen. Replace your worn out air filter with this high flow High Performance filter. It features a built-in velocity stack for added performance, urethane top and base to resist heat absorption, and oiled cotton gauze for superior filtration. It's washable and reusable, and comes pre-oiled and ready to install. 3� flange inside diameter, 6� base outside diameter, 5� top outside diameter, 5� height.\nInjen 11-14 Nissan Juke 1.6L Turbo CVT Black Short Ram Intake Injen 12-13 Honda Civic Si 2.4L Tuned Short Ram Air Intake System w/MR Tech and Web Nano-Fiber - Polished Injen 13 Jeep Grand Cherokee SRT-8 6.4L V8 Wrinkle Black Short Ram Intake w/Heat Shield Injen 13 Ford Focus ST 2.0L (t) 4 Cyl. Polished Short Ram Intake w/MR Tech and Heat Shield\nInjen 02-05 Civic Si / 02-06 RSX Type S Black Short Ram Intake Injen 2013-14 Subaru BRZ / Scion FRS (GT-86) 2.0L 4 Cyl. - Stainless Steel Headers Injen High Performance Air Filter - 3.50 Black Filter 6.75" Base / 5" Tall / 5" Top Injen 13 Hyundai Genesis Coupe 3.8L V6 Polished Short Ram Intake w/ Heat Shield and Cover


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MBK No. 2 Arizona upset again at Battle 4 Atlantis\nMBK Rhode Island defeats No. 20 Seton Hall\nMHKY Boston Univ. leads By The Numbers


1024R/88A96934450B471BDA26FE3A778978B00F7992B0 (What is this?)\nFor questions and bugs with software in this PPA please contact Project Neon.\nPublished in: Any series Jaunty\namarok-nightly 20091210+svn1783fade73f92a1efeeafdfe1033edbbbf36acc9-0neon1 Project Neon ( 2009-12-10 )\namarok-nightly-cdbs 9.04.2 Project Neon ( 2009-05-28 )\namarok-nightly-kdesupport 20091206+svn1059462-0neon1 Project Neon ( 2009-12-06 )\namarok-nightly-mysql 5.1.36a-0neon3 Project Neon ( 2009-08-14 )\namarok-nightly-qt 20090622+svn985045-0neon1 Project Neon ( 2009-06-21 )\namarok-nightly-tools 2.4 Project Neon ( 2009-08-14 )\nkde-nightly-google-gadgets 0.10.5-0neon1.1 Project Neon ( 2009-05-07 )\nkde-nightly-kdebase 20091009+svn1033334-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdeedu 20091009+svn1033344-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdegraphics 20091009+svn1033338-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdelibs 20091208+svn1060446-0neon1 Project Neon ( 2009-12-09 )\nkde-nightly-kdemultimedia 20091009+svn1033337-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdenetwork 20091009+svn1033338-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdepim 20091009+svn1033340-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdepimlibs 20091009+svn1033337-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdeplasma-addons 20091009+svn1033340-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdesdk 20091009+svn1033337-0neon1 Project Neon ( 2009-10-10 )\nkde-nightly-kdesupport 20091208+svn1060445-0neon1 Project Neon ( 2009-12-08 )\nkde-nightly-kdeutils 20091009+svn1033340-0neon1 Project Neon ( 2009-10-10 )\nliblastfm 0.3.0-0ubuntu1~jaunty1 Project Neon ( 2009-07-13 )\nqtscriptgenerator 0.1.0-0ubuntu1~jaunty1neon1 Project Neon ( 2009-08-13 )\namarok-nightly 620 weeks ago\nFailed to build: amd64 i386 lpia\nkde-nightly-kdelibs 620 weeks ago\nkde-nightly-kdesupport 620 weeks ago\namarok-nightly-kdesupport 620 weeks ago\nkde-nightly-kdeedu 628 weeks ago


Trojan.Win32.Kryptik.djtwta - VirSCAN.org - Le programme d'analyse virale multi-moteur v1.02, Support de 47 moteurs antiVirus\nNom du virus Trojan.Win32.Kryptik.djtwta\trésultat de scanner\nNom du virus Trojan.Win32.Kryptik.djtwta trouver88468résultat de scanner.\nSi vous connaissez les informations, les dangers et les méthodes de prévention du virus Trojan.Win32.Kryptik.djtwta, n'hésitez pas à nous les envoyer à contact@virscan.com afin que nous puissions les afficher sur la page correspondante.\n1713152 nano 2020-06-02 17:07:08\n2 Nom de fichier: 22a6154976c2ccf17dd44e5bf9ceed95\n1713664 nano 2020-06-02 10:57:21\n3 Nom de fichier: 177581c0a0fd16fe8c4053b8642435a9\n1702400 nano 2020-06-02 03:20:26\n4 Nom de fichier: 08b6dcd74049c4701ab9b81b70cd8a2a\n1715712 nano 2020-06-01 16:59:07\n1758720 nano 2020-06-01 13:48:42\n1751040 nano 2020-06-01 12:49:18\n1714176 nano 2020-06-01 10:08:40\n1705472 nano 2020-06-01 08:57:39\n1704960 nano 2020-06-01 08:41:08\n1713152 nano 2020-06-01 06:57:29\n1734144 nano 2020-06-01 06:19:44\n1844736 nano 2020-06-01 05:11:23\n13 Nom de fichier: e60ae2e8b2e2786bccbff347b2d6b885\n2054656 nano 2020-06-01 04:47:59\n1784832 nano 2020-06-01 03:48:25\n15 Nom de fichier: e42ac3021bbb6d784e55750e2f6a1ac1\n1710592 nano 2020-06-01 02:48:08\n1710080 nano 2020-06-01 02:08:59\n17 Nom de fichier: e17079b04606ac5b2241dbd7d4cf2ed6\n1712640 nano 2020-05-31 23:44:33\n1704448 nano 2020-05-31 23:41:38\n19 Nom de fichier: e03ad40f8e8fff97cbc348fca3faace5\n1702912 nano 2020-05-31 22:23:06\n20 Nom de fichier: df8d017ecb0c2c2366027cf655cbc9e9\n1701376 nano 2020-05-31 21:38:23


Samlegjenstander/Antikviteter i Italia\nCollectibles/antiques buy & sell i Italy\nSorry, we don't have any ads matching your criteria. Here are some posts in other languages you might be interested in from Samlegjenstander/antikviteter i Italia\nWant to see more? Go to Samlegjenstander/antikviteter i Italia


50/56 Uitverkocht 62 62/68 Uitverkocht 74 Uitverkocht 74/80 Uitverkocht 86\nProd. nr.: A17090700000002


De ferzje fan 7 jun 2021 om 17.11\n5 bytes grutter , 1 moanne lyn\nDe ferzje fan 28 okt 2020 om 13.49 (wizigje)\nDe hjoeddeiske ferzje sûnt 7 jun 2021 om 17.11 (wizigje) (weromsette)\n[[Ofbyld:Female genitalia inner.JPG|thumbnail|250px|De fulva
1 = [[Klitoarisfoarhûd]],
2 = [[Klitoaris]],
3 = [[Skamlippen|Binnenste skamlippen]],
4 = Fagina-iepening,
5 = [[Skamlippen|Bûtenste skamlippen]]]]\nDe '''fagina''' of '''skie''' is it ynwindige diel fan it [[orgaan (lichemsdiel)|geslachtsorgaan]] dat by froulike bisten (wêrûnder de minsk) de [[liifmoer]] mei de bûtenkant fan it lichem ferbynt. It útwindige diel wurdt [[fulva]] neamd.\nDe fagina is geskikt om de [[penis]] yn te bringen by it [[geslachtsferkear]] of ''koïtus''. At dêr in swierwêzen út fuortkomt, is de fagina in diel fan it [[bertekanaal]] by de [[befalling]].\nYn de fagina is ôfskieding oanwêzich, [[faginale ôfskieding]] (at dy abnormaal is hjit dat ''[[fluor faginalis]]''). De ôfskieding bestiet út slym produsearre troch de liifmoermûle (''cervix'') en ôfstjitten epiteel fan de fagina. De fagina[[sel]]len befetsje glykogeen, wat omsetten wurdt ta [[molksoer]] (''laktaat'') troch de [[Lactobacillus]]. Dy [[baktearje]] heart hjirdêr thús en soarget derfoar dat troch molksoerproduksje de [[soergraad]] fan de fagina leech bliuwt. Dat soarget dêrfoar, tegearre mei de slymproduksje út de liifmoermûle, dat der gjin baktearjen, dy't [[ynfeksje]]s yn de liifmoer en de [[liifsholte]] jaan kinne, nei boppe ta gean kinne. De ôfskieding is ornaris rookleas en jout fierder gjin klachten en hjit dêrom ek wol ''fluor albus'', 'wite ôfskieding' of [[wite floed]]. Hoefolle der is hinget ôf fan de [[syklus]]. Healwei de syklus, om de [[aaisprong]] (ovulaasje) hinne, nimt de ôfskieding ta, dêrnei wer ôf.\nÔfskieding kin ek tanimme by [[seksuele opwining]]. Troch ferhege bloedtafier ûntstiet [[kongestje]] fan [[bloed]] en dêrtroch komt focht troch de wand fan de fagina (''transudaasje''). Fierders wurdt ôfskieding produsearre troch de [[klieren fan Bartholin]] by de fagina-iepening.\nOpfrege fan "https://fy.wikipedia.org/wiki/Wiki:MobileDiff/1039685"


1150 Happy Hill Drive, Vista, CA 92084 (#NDP2203896) :: Millman Team\nAttached Garage YN Yes Fencing Chain LinkGood Condition Lot Features 0-1 Unit/AcreBack YardCorner LotDrip Irrigation/BubblersFront YardGardenGentle SlopingSprinklers In RearSprinklers In FrontLawnLandscapedSprinklers TimerSprinklers On SideSprinkler SystemYard Open Parking Spaces 6 Parking Features AsphaltBoatConcreteDirect AccessDoor-SingleDrivewayGarageGarage Door OpenerPavedRv Access/Parking Parking Total 8 Patio And Porch Features DeckPatioSee Remarks Pool Features None Pool Private YN Yes Property Attached YN No Road Frontage Type Private Road Road Surface Type Paved Roof AsphaltShingle Sign On Property YN Yes Spa Features None Spa YN No View Hills View YN Yes\nAdditional Parcels YN No Association Fee 0 Association YN No Common Interest None Community Features Rural Disclosures Covenants/Restrictions DisclosureEasement(S)Unincorporated Electric Electricity - On Property220 Volts in Kitchen Exclusions Freezer in Garage And 2 Car Canopies On Side Driveway. Garage YN Yes Inclusions Range/OvenMicrowaveDishwasherKitchen Refrigerator. Land Lease YN No Laundry Features Washer HookupGas Dryer HookupIn Garage Lease Considered YN No Levels Two Listing Agreement Exclusive Right To Sell Listing Service Full Service Listing Terms CashCash To New LoanConventionalFha 203(K)Fha New Construction YN No Number Of Units In Community 1 Possession Close Of Escrow Property Condition Repairs Cosmetic Property Sub Type Single Family Residence Security Features Carbon Monoxide Detector(S)Smoke Detector(S) Senior Community YN No Sewer Public Sewer Special Listing Conditions Standard Utilities Electricity Connected Water Source Public Zoning R-1


50s Seaside Diner Dress in Chambray Blue | Retrojurk.nl\nHome > Kleuren > Blauwe Jurken > 50s Seaside Diner Dress in Chambray Blue\nSKU: 13699c92204f. Categorieën: 50s, Blauwe Jurken, It has pockets!, Jurken, Korte mouw, Over de knie, Rockabilly, Sailor, Swing Jurken. Tag: 50s.\nWees de eerste om “50s Seaside Diner Dress in Chambray Blue” te beoordelen Reactie annuleren


Taken by patcha221. This photo can also be found in the album 360 way to Lomography ThaiLand.\nsimonesavo, dakadev_pui, and wapclub.


PokerGrandmaster, Converter, Small Stakes, 4 emulators × 1\t $59.04 (incl. VAT)\n$59.04 (incl. VAT)\n$59.04 (includes $11.04 VAT (23%))


pillow mattress Double Pillow Top Mattress Modern Stunning Queen Image Of Leather Engrossing Charming Macys Captivating Pillowtop Mat Memory Foam With Gel Csl Twin Eye Catching Extra memory foam mattress with pillow top Most Comfortable Memory Foam Mattress. Smart Foam Mattress. Affordable Pillow Top Mattress.\nDouble Pillow Top Mattress Modern Stunning Queen Image Of Leather Engrossing Charming Macys Captivating Pillowtop Mat Memory Foam With Gel Csl Twin Eye Catching Extra\nHome > pillow mattress > memory foam mattress with pillow top > Double Pillow Top Mattress Modern Stunning Queen Image Of Leather Engrossing Charming Macys Captivating Pillowtop Mat Memory Foam With Gel Csl Twin Eye Catching Extra\npillow mattress, Double Pillow Top Mattress Modern Stunning Queen Image Of Leather Engrossing Charming Macys Captivating Pillowtop Mat Memory Foam With Gel Csl Twin Eye Catching Extra : memory foam mattress with pillow top\nGallery of Double Pillow Top Mattress Modern Stunning Queen Image Of Leather Engrossing Charming Macys Captivating Pillowtop Mat Memory Foam With Gel Csl Twin Eye Catching Extra\nDiscussion Related to Double Pillow Top Mattress Modern Stunning Queen Image Of Leather Engrossing Charming Macys Captivating Pillowtop Mat Memory Foam With Gel Csl Twin Eye Catching Extra, Together With memory foam mattress with pillow top\nsoftest pillow top mattress pad which memory foam mattress temper foam mattress foam in mattresses spring mattress with foam top serta pillow top and memory foam memory foam mattress pillow pillow top mattress without memory foam medium pillow top mattress foam pillow topper visco foam mattress\nCare to Shout Your Thoughts on Double Pillow Top Mattress Modern Stunning Queen Image Of Leather Engrossing Charming Macys Captivating Pillowtop Mat Memory Foam With Gel Csl Twin Eye Catching Extra


Minder sikehûsopnamen troch it coronafirus yn de ôfrûne wike | Omrop Fryslân\nMinder sikehûsopnamen troch it coronafirus yn de ôfrûne wike\n14 maaie 2021 - 06:15\nYn de ôfrûne wike is it tal sikehûsopnamen as gefolch fan it coronafirus yn Fryslân mei de helte ôfnommen. Ferline wike wienen it der 25, dizze wike wiene dat 12. Dat docht bliken út sifers fan it RIVM. It tal besmettingen is mei goed tûzen sawat gelyk bleaun yn ferliking mei de wike derfoar.\n1.129 Friezen binne de ôfrûne wike posityf test op it firus. Dat is it leechste tal besmettingen sûnt de twadde wike fan desimber. Mar de sifers kinne wol fertekene wêze, warskôget de GGD. Yn wiken mei in soad fakânsjedagen litte minsken har minder teste. Omdat in soad skoallen ticht wienen, wurdt dêr al twa wiken lang minder test.\nOmdat der nije ferrommingen oan sitte te kommen, ferwachtet de GGD dat it tal besmettingen de kommende tiid net fierder omleech giet.\nTolve nei sikehûs, trije stjergefallen\nYn de ôfrûne wike binne 12 Friezen opnaam yn it sikehûs, as gefolch fan it coronafirus. Dat wienen der in wike earder 25. Trije Friezen binne ferstoarn oan it firus.\nDe measte besmettingen binne dizze wike meld yn de gemeente Ljouwert: it giet om 228 besmettingen. Dêrnei folget Súdwest-Fryslân mei 163 besmettingen.\nOp Skiermûntseach wie op 16 april de lêste besmetting.\nMear as 41.000 Friezen hawwe corona hân\nMei de 1.129 positive testen fan de ôfrûne wike is no yn totaal by 41.207 Friezen it coronafirus fêststeld.\nIt tal stjergefallen wie mei 3 dizze wike yn Fryslân krekt ien minder as de wike derfoar. It offisjele stjertesifer yn Fryslân yn ferbân mei it coronafirus leit no op 470. It werklike tal stjergefallen as gefolch fan it firus leit heger, om't net eltsenien test wurdt. Dêrom is net fan elts stjergefal bekend oft dat oan it firus lei of net.\nOmrop Fryslân komt mei in nij lûd op de radio


Timberwolves Vs Warriors Photos — LBC9 News\nTimberwolves Vs Warriors Photos November 3, 2018\nGame Preview: Warriors vs. Timberwolves - 11/2/18 | Golden State .... Game Preview: Warriors vs. Timberwolves - 11/2/18. 756 x 425 pixels\nTimberwolves vs. Warriors - Box Score - November 3, 2018 - ESPN. . 400 x 400 pixels\nWarriors Vs Timberwolves Preview: Starting Lineups, Odds .... Warriors Vs Timberwolves Preview: Starting Lineups, Odds, Predictions, TV, Injuries | NBA 11/2/18. 879 x 480 pixels\nWarriors Host Wolves in Friday ESPN NBA Betting Online Action. Minnesota Timberwolves vs. Golden State Warriors. 735 x 190 pixels\nTimberwolves Vs. Warriors: Wolves take on the champs. . 850 x 566 pixels\nTimberwolves vs. Warriors Point Spread: NBA Odds, Prediction .... Timberwolves vs. Warriors Point Spread: NBA Odds, Prediction. 800 x 450 pixels\nNBA Minnesota Timberwolves vs Golden State Warriors Spread and .... 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HOME » letter (x) » info:fedora/insulin:banting (x) » June 21 1922 (x) » University of Toronto. Insulin Committee (x) » Macleod, J. J. R. (John James Rickard), 1876-1935 (x) » Medical Research Council (Great Britain) (x) » Murlin, John R. (John Raymond), b. 1874 (x) » Search


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Warzone kin in drege spielmodus wêze, útsein as jo ús hacks hawwe\nSjoch wêr't alles oer giet en besykje it ark foar josels út - Keapje hjoed in 1-dei produktkaai!\nAs in dei net genôch is, kinne jo altyd langer gean - keapje hjoed in 1-wike produktkaai!\nWurdt ien fan 'e meast tawijde leden fûn by Gamepron - Keapje hjoed in 1-moanne produktkaai!\nFyn de bêste bút yn Warzone mei gemak troch ús ESP (Extra Sensory Perception) te brûken, of skeakelje de GamePron Warzone Aimbot yn en nim jo fijannen del sûnder in twadde gedachte. Wat jo ek oan feardigens misse, ús ark sil dat goedmeitsje!\nCall of Duty: Warzone Gamepron Ynformaasje\nPerfekt foar dyjingen dy't Windows 10 of better brûke, dit is in Warzone Hack dy't jo genietsje. Wylst oare oanbieders it "fleis" fan har ark ferjitte en har rjochtsje op it besykjen om mear guod yn te kramjen, hawwe wy alles wat jo nedich binne om út te blinken by it spieljen fan Call of Duty: Warzone sûnder kwaliteit te offerjen. Hoewol ús COD Warzone Gamepron Hack is HWID beskoattele, biede wy hjir by Gamepron in HWID-spoofing-tsjinst oan. Dizze cheat is heul ienfâldich en sil dyjingen dy't net yn 't ferline net hawwe hackd, betiizje, jo sille jo fiele as in natuerlik!\nBrûk de geweldige Warzone Aimbot en syn boneprioritisaasje, ferstelbere doel FOV, soepele rjochte, sichtbere kontrôles, en mear! D'r is ek in oerfloed fan Enemy ESP-opsjes om út te kiezen, lykas Item ESP en sels in 2D Radar (Ferwidering is ek werom!).\nEnemy ESP (2Dbox, bonken, freonlik)\nFijânynfo (Namme, Rader, ôfstân)\nItem ESP mei filters (wapens, drug, pânser, aksessoires, auto) artikel max ôfstân\nSmooth & FOV ferstelber\nDoel op knockeds\nOer Call of Duty: Warzone Gamepron\nDit is in eksterne cheat dy't kin wurde brûkt by it streamen, sadat jo de heule wrâld sels kinne ferrifelje om te tinken dat jo in soarte fan "superspiler" binne. Jo moatte jo beskerming útskeakele hawwe by it brûken fan 'e cheat, oars kin in falske flagge de funksjes deaktivearje. Lykas wy earder hawwe sein, komt dizze cheat net\nmei in HWID-spoofer, mar jo kinne ien fan dy apart keapje fan Gamepron! Jo kinne sels kieze om controllers te brûken wylst jo ús Warzone Cheat brûke, hoewol jo de knoppen opnij moatte brûke mei in ark. Dit ark kin ek net brûkt wurde yn folslein skerm.\nWêrom Call of Duty: Warzone Gamepron brûke oer oare oanbieders?\nAs jo dizze heule tiid ljochte oanbieders hawwe brûkt en wat nijs wolle ûnderfine, is Gamepron de perfekte opsje om te beskôgjen. Net allinich hawwe wy in protte ferskillende produktkaaien om út te kiezen (jo fleksibiliteit jaan), mar de kwaliteit fan ús ark is gewoan ongeëvenaard - oare ûntwikkelders soene alles dwaan om yn ús posysje te wêzen! As jo wolle wite dat jo jild op it juste plak útjouwe en in betroubere Warzone Hack hawwe kocht, is Gamepron de ienige ûntwikkelder wêr't jo op kinne fertrouwe. Boppedat binne al ús Warzone Hacks ûntdutsen!\nProblemen foarkomme by it spieljen fan Call of Duty: Warzone is hast ûnmooglik, dêrom kin it brûken fan in ark lykas ús COD Warzone Gamepron Hack sa wichtich wêze. It yn-spielmenu dat wy foar al ús ark hawwe ûntwikkele, sil de ynstellingen oanpasse net allinich makliker meitsje, mar it sil ek skermrommel foarkomme en dominearje noch makliker! Oft jo it oantal ynskeakele funksjes ôfbrekke wolle, of gewoan de snelheid fan jo Warzone Aimbot wolle oanpasse, mei ús yn-spielmenu kinne jo alles dwaan. Nim de regearen mei Gamepron!\nQ7. Wurket dizze cheat mei controller?\nNee, dizze cheat sil net wurkje mei controller.\nOare Warzone Hack-oanbieders besykje de nivo's te berikken wêrop GamePron opereart, mar it is ûnûntkomber - wy sille de # 1-provider fan Warzone Hacks in heule lange tiid bliuwe.\nSykje jo de juste manier te ferrifeljen? Keapje hjoed in produktkaai!\nKlear om Dominearje mei ús COD Warzone Gamepron Hack?


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