Suggestion on dedicated Turing card for video decoding?

Anything related to video and my tools that is not a support request.
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Penden
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Suggestion on dedicated Turing card for video decoding?

Post by Penden » Sat Mar 23, 2019 12:57 pm

Hello,

I have not been in the field for a long time and my gtx 460 (vp4) is aging. I am planning to get a Turing card on a budget that is only dedicated to DGIndexNV for video decoding.

I checked wiki that all Turing cards are using vp10 so I wondered. Are their video engines for video decoding exactly the same, performance-wise?

The gtx 1650 is supposed to be out at the end of next month. Price-wise, it should be the cheapest Turing card. If a pc that only gpu is a variable parameter, would the gtx 1650 (not out yet) decode as fast as the other cards such as gtx 1660, gtx 1660ti, rtx 2060,..etc? Or does the gtx 1660 decode as fast as the gtx 1660ti on DGIndexNV?

Besides, I also wondered if overclocking the gpu clock speed and/or memory speed in a graphic card would affect the video decoding speed of DGIndexNV?

Thanks

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admin
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Re: Suggestion on dedicated Turing card for video decoding?

Post by admin » Sat Mar 23, 2019 9:41 pm

Great questions. We all have to wait to see. For pure decoding any VP10 will be great and the more PCIe bandwidth you have the better. If you are doing CUDA filtering then you want a lot of CUDA cores. I don't think overclocking the GPU helps the VP engine much, but I haven't tested that.

1650 and 1660 should be great budget choices.

Penden
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Re: Suggestion on dedicated Turing card for video decoding?

Post by Penden » Sun Mar 24, 2019 11:49 am

Hello,

Thanks for the information.

Yea, the GTX Turing cards are still too new. I'll wait & check online how GTX 1650 performances after it's out.

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DJATOM
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Re: Suggestion on dedicated Turing card for video decoding?

Post by DJATOM » Sun Mar 24, 2019 3:26 pm

1650 looks overpriced a lot for it's performance, so probably it worth to pay few more bucks for 1660.
RTX 2070 | Ryzen R9 3900X (no OC) | 32 GB RAM

Penden
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Re: Suggestion on dedicated Turing card for video decoding?

Post by Penden » Wed Apr 24, 2019 1:47 pm

Hello,

yes, the GTX 1650 based on TU117 is a bit pricey but the worst is, according to Nvidia and Techpowerup, that its multimedia/video engine is based on the previous generation, Pascal/Volta and is not based on Turing.

I guessed that the GTX 1650Ti would be on the same boat so now there are three choices from the xx60 Turing series (2060, 1660Ti, 1660) and I'll see which one to get then.

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hydra3333
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Re: Suggestion on dedicated Turing card for video decoding?

Post by hydra3333 » Mon Apr 29, 2019 9:15 pm

Saw this https://github.com/rigaya/NVEnc/issues/114 had title "GTX 1650(TU117) was castrated" :)

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JoyBell
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Re: Suggestion on dedicated Turing card for video decoding?

Post by JoyBell » Fri Feb 21, 2020 2:14 pm

I have Three Generations of Nvidia cards and tested them all. They have wildly different video engines. I tested all with same settings on same clip.

These are Encoder Tests, but they do put different vidoes engines even on same generation. The 1080ti obviously is using more hardware than the 1050ti. (Oh, that test isn't here, but the 1080ti encodes about 3 times faster)

Code: Select all

Maxwell = GTX960
Turing  = RTX2060
Pascal  = GTX 1080ti
Software = i7-8750H

Clip is a 5 minute segment of the AMZN Web-DL Source 

Chicago.P.D. S07E10 Clip 134fps   8915kbs 1080p CRF22 Maxwell
Chicago.P.D. S07E10 Clip 279fps   5793kbs 1080p CRF22 Pascal
Chicago.P.D. S07E10 Clip 162fps   2039kbs 1080p CRF22 Turing

Chicago.P.D. S07E10 Clip 32.2fps 16930kps 1080p CRF22 Intel

Chicago.P.D. S07E10 Clip 8.85fps  1156kbs 1080p CRF22 X265 software AQ HVEC
Chicago.P.D. S07E10 Clip 7.93fps  1637kbs 1080p CRF22 X265 software AQ 3


NVenc Settings for faux CRF 22
--cqp 17:21:27 --codec h265 --preset quality --profile main10 --tier high --output-depth 10 --vpp-edgelevel --vpp-deband --weightp --bframes 5 --ref 16 --lookahead 32 --no-b-adapt --aq --aq-temporal --colormatrix bt709 --mv-precision q-pel --cavlc --bref-mode middle

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