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GT 610 only making 500 ppd

astranger200
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My brand new gainward gt 610 is only making about 500 ppd. Is that right, as my core 2 duo is crushing it at about 6k per day.

To be honest, I wouldn't expect to much out of the GT 610 with its compute power. So it sounds about right but give it some time and it might gain or lose ppd.

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Why did you buy a GT 610 in the first place?

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My brand new gainward gt 610 is only making about 500 ppd. Is that right, as my core 2 duo is crushing it at about 6k per day.

Yes, that's right. The 610 just can't fold, it's too slow.

 

If you want to use for distributed computing, switch over to Boinc. There are some projects with easier tasks there.

Want to help researchers improve the lives on millions of people with just your computer? Then join World Community Grid distributed computing, and start helping the world to solve it's most difficult problems!

 

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Why did you buy a GT 610 in the first place?

It was extremely cheap, and I only have a 240 watt power supply and for the games I'm playing it will tie me over to when I buy (build) a new computer. also, it is a small form factor.

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Yes, that's right. The 610 just can't fold, it's too slow.

 

If you want to use for distributed computing, switch over to Boinc. There are some projects with easier tasks there.

 

I second this. I have a spare GT 620 I'm currently using for BOINC and it's able to pull about 18GFLOPS on tasks, which, on its own, would pull about 3,600 credits per day running continuously. I'm not sure what a GT 610 would be able to bring, but it might not be too far off that.

 

 

It was extremely cheap, and I only have a 240 watt power supply and for the games I'm playing it will tie me over to when I buy (build) a new computer. also, it is a small form factor.

 

And now we have some more relevant details. F@H is going to compete with the operating system for the graphics card, and that will reduce your PPD. Depending on how you have things configured, it may also back off on what it does when you're using the system, waiting for idle time to ramp up. If you're on your system a lot, then it won't be used nearly as much as it could be.

 

But even then if you were to switch over to BOINC, your performance may also not be all that great simply because the client will be competing with Windows for the graphics card depending on what you're doing.

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I second this. I have a spare GT 620 I'm currently using for BOINC and it's able to pull about 18GFLOPS on tasks, which, on its own, would pull about 3,600 credits per day running continuously. I'm not sure what a GT 610 would be able to bring, but it might not be too far off that.

 

 

 

And now we have some more relevant details. F@H is going to compete with the operating system for the graphics card, and that will reduce your PPD. Depending on how you have things configured, it may also back off on what it does when you're using the system, waiting for idle time to ramp up. If you're on your system a lot, then it won't be used nearly as much as it could be.

 

But even then if you were to switch over to BOINC, your performance may also not be all that great simply because the client will be competing with Windows for the graphics card depending on what you're doing.

I have the priority at high and windows taxes very little of my graphics card (1 percent or so). I dont use the pc while it is folding

My rig: r7 1700 @ 3.9/1.35v, 16gb ddr4 3200, assorted rando SSDs, hx 1050, vega 64 1650/1025

MY $75 BUILD https://linustechtips.com/main/topic/576889-the-75-build-log/#comment-7547280

 

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I have the priority at high and windows taxes very little of my graphics card (1 percent or so). I dont use the pc while it is folding

Wait a bit and it might perform a bit better. But it is a really low end card. Having said that I would expect a bit more than that although not massively more.

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Don't expect much but to be honest I would have thought it would achieve more than that. I used to fold on an EVGA GeForce GT 630 which has the second CU enabled which gave me 96 CUDA cores instead of 48 CUDA cores and I used to achieve 3,500 PPD going down to around 1,500 PPD depending on the WU.

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