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Question

How to Build a Super Fast Quick Fields Desktop

Quick Fields
Updated September 1, 2017
asked on August 31, 2017 • Show version history

Hello you,

I'd like to build a super-duper hyper fast Quick Fields desktop. It will be used for multi-classification, barcode reading and OCR.

AMD Ryzen or Intel i3/i5/i7/i9?

Should I go for Most cores or threads or Highest MHz?

Is any more than 16GB useful?

Discrete or on-board video card?

And of course, SSD. None of that spindle malarky, I presume.

-Ben

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Answer

SELECTED ANSWER
replied on September 1, 2017

Oooh, that sounds fun. But definitely overkill, as anything with over 4 CPUs would be for this purpose. Unless you're building a Quick Fields Agent machine. In that case more CPUs are definitely a plus.

Quick Fields processing tends to be disk- and network -bound. OCR works on one page at a time and it only uses one CPU. So a workstation-type machine will do the job. Definitely get the SSD.

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Replies

replied on August 31, 2017 • Show version history

Perhaps the customer will let me order one of these for testing.

For l33t Quick Fields testing only.

https://arstechnica.com/gadgets/2017/08/acer-predator-orion-9000-x35/

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SELECTED ANSWER
replied on September 1, 2017

Oooh, that sounds fun. But definitely overkill, as anything with over 4 CPUs would be for this purpose. Unless you're building a Quick Fields Agent machine. In that case more CPUs are definitely a plus.

Quick Fields processing tends to be disk- and network -bound. OCR works on one page at a time and it only uses one CPU. So a workstation-type machine will do the job. Definitely get the SSD.

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replied on September 1, 2017

Thanks Miruna. That's exactly what I was looking for.

 

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replied on September 1, 2017

Could you just clarify, you said one CPU, so assume you mean additional threads or cores won't be used either.? 

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replied on September 1, 2017

For OCR, it's one logical processor. AKA, one of those things you see in Task Manager, regardless of how it's organized in the hardware:

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replied on September 1, 2017 • Show version history

Thanks again for the clarification.

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