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Last update 2020-09-02 for FahCore_22 OpenCL * Please check the values yourself and don't trust the chart blindly. See more infos below.
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GPUPPD in kPrice in $WattPPD/PricePPD/Watt
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RTX 3090500015003753,313,3needs large work units to get fully utilized
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RTX 308040007003205,712,5needs large work units to get fully utilized
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RTX 307025005002205,011,4needs large work units to get fully utilized
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RTX 30602000350150
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Titan RTX240025003001,08,0needs large work units to get fully utilized
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RTX 2080ti240011003002,28,0needs large work units to get fully utilized
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RTX 2080 Super20007102502,88,0
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RTX 208018006202252,98,0
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RTX 2070 Super16005002003,28,0
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RTX 207014004001753,58,0
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RTX 2060 Super12754001603,28,0
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RTX 206011603201453,68,0
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GTX 1660 Ti8753001102,98,0
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GTX 1660 (or Super)8002501003,28,0
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GTX 1650 Super715190893,88,0
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GTX 1650500170622,98,1
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Titan V150030002500,56,0
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Titan X Pascal150010002501,56,0
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GTX 1080 Ti15008002501,96,0P102-100 mining
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GTX 108010756001801,86,0P104-100 mining
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GTX 1070 Ti10005001802,05,6
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GTX 10708503001502,85,7single slot model available
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GTX 1060 6GB480270901,85,3P106-100 mining
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GTX 1060 3GB420230811,85,2
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GTX 1050Ti250150601,74,2P106-090 mining, no power plug needed, low profile available
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GTX 1050200130501,54,0no power plug needed, low profile available
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GT 103062100300,62,1no power plug needed, single slot low profile available
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AMD RX 6000 16GB30005003006,010,0not yet released (end of 2020)
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AMD RX 5700 XT13504002003,46,8needs large work units to get fully utilized
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AMD RX 5600 XT10003001503,36,7needs large work units to get fully utilized
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AMD RX 5500 XT6802001003,46,8needs large work units to get fully utilized
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AMD Radeon VII 16GB15007003002,15,0needs large work units to get fully utilized
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Vega Frontier Edition10009153001,13,3needs large work units to get fully utilized
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RX Vega 6410004003002,53,3needs large work units to get fully utilized
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RX Vega 567003002102,33,3needs large work units to get fully utilized
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RX 590 8GB4702001502,43,1
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RX 580 4GB4501801502,53,0
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RX 570 4GB3301201102,83,0
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RX 560 2GB200100802,02,5
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RX 550 2GB9085501,11,8no power plug needed, low profile available
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Older generation with refurbished prices
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Titan X Maxwell8759502300,93,8
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GTX 980Ti8754252772,13,2
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GTX 9805503302051,72,7
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GTX 9704402201702,02,6
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GTX 960 2GB2251201501,91,5
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GTX 9501401251101,11,3
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GTX 750Ti100100701,01,4no power plug needed
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RX 480 4GB3905001300,83,0
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RX 4703206501050,53,0
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RX 460 2GB180135601,33,0no power plug needed, low profile or single slot available
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Fury X5503802751,42,0
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R9 Fury4122602501,61,6
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R9 390X4653652501,31,9
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R9 380X1742201900,80,9
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R9 2903253802750,91,2
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R9 280X / HD 79701602002000,80,8
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* Please check the values yourself and don't trust the chart blindly.
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* Based on FahCore_22 OpenCL (older GPU core were 25% slower, future CUDA core will be 25% faster)
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* PPD, Price and Watt will vary on different vendor custom models.
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* Limit GPU power usage with tools like MSI Afterburner to increae efficiency
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* For new released GPUs the values are predicted due to hw specs.
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* You will not get max PPD with every folding work unit or project.
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* Linux is 20% faster than Windows
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* Each GPU needs one cpu thread to feed it.
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* On Windows pcie 3.0 x8 is needed for full performance of fast GPUs, x4 is minimum. On Linux for full performance x4 is optimum. x1 risers are 20% slower on Linux and more than 50% on Windows
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Source:
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https://foldingforum.org/viewtopic.php?f=38&t=29322
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http://www.overclock.net/t/475163/gpu-projects-ppd-database
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https://folding.lar.systems/folding_data/gpu_ppd_overall
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