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thanks for watching Techquickie click the subscribe button and enable

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notifications with the bell icon so you won't miss any future videos when it

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comes to processor speed whether it's a CPU or a GPU you probably think in

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megahertz or gigahertz at first but

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these numbers aren't actually very useful if you're comparing processors

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across different models so maybe that's

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why graphics card makers in particular have started leaning on a specification

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called flops to describe their latest and greatest hardware but what does that

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mean I mean is that a measure of how many disappointing $60 games your card

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will run before it dies no flops is a

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performance metric that stands for floating-point operations per second now

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this might sound like the time it takes for your magic 8-ball to give you an

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answer but it's really a measure of how quickly your processor can do math that

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involves a mix of large small and fractional numbers and it matters

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because computers only have a finite amount of space to store the numbers

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that they work with for a single number this is typically either 32 or 64 bits

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depending on what processor and program you're using so in order to express a

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range of very large and very small numbers some of these bits are allocated

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destroying the digits of the number itself while others are reserved to

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specify where the decimal point should be a little bit like scientific notation

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this makes it easy to express huge or

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tiny numbers in a limited number of bits

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but keep in mind that floating-point operations are less straightforward for

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your processor to carry out than ones that only involve integers due to the

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computer needing to deal with ever-changing exponents converting them

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to and from decimal numbers and rounding them off now if you watched our episode

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explaining the difference between CPUs and GPUs which if you haven't you can

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check out here you might already understand why it's more common to see a

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flops measurement on a graphics card spec page versus one for a CPU much of

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the math your GPU needs to do in order to render the images that you see on

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your screen uses vectors to determine where each line and shape should go and

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crunching these numbers involves using many different floating-point numbers

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whose exponent values can vary quite a bit now supercomputers and more powerful

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workstations used for scientific research and weather modeling are also

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often described in terms of flops as they also heavily rely on using

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floating-point numbers but what exactly

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does any of this mean for you out there yes you Tom Smith who's just trying to

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score a good deal on a video card should you go for whatever has the highest

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flops that you can still afford the answer is probably no even though more

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flops does indicate more raw computational power it means it's better

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in the same way that a CPU with more megahertz or a digital camera with more

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megapixels is better many other things

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will play a huge role in how good of an experience you'll have with your

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graphics card including memory capacity and bandwidth the specific architecture

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that your GPU uses and even how nicely the drivers play with the specific games

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in your library so the takeaway here is that unless you're an AI or Big Data

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researcher there's no need to be all starry-eyed at how the new Titan V has a

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hundred and ten teraflops of pure power

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but at least you know that the specification on the back of the box

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doesn't refer to the sound that your wallet makes as it

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flops down on the checkout counter

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