Convert Floating point operations per second

To achieve the desired result as quickly as possible, it is best to enter the value to be converted as text, for example '483 Floating point operations per second to kFLOPS' or '483 Floating point operations per second into kFLOPS' or simply '483 Floating point operations per second':

In most cases, the word 'to' (or '=' / '->') can be omitted between the names of the two units, for example '483 Floating point operations per second kFLOPS' instead of '483 Floating point operations per second to kFLOPS'.
In the abbreviations for 'square' and 'cubic', the '^' character can be omitted from '^2' and '^3'. Square centimetres can therefore be written cm2 instead of cm^2.
Instead of the Greek letter 'µ' (= micro), a simple 'u' can be used, for example uPa instead of µPa.
The basic operations of arithmetic: addition (+), pi (π), subtraction (-), exponent (^), multiplication (*, x), division (/, :, ÷), square root (√) and brackets are all permitted at this point
Instead of 1.59 x 10^5, 1.59e5 can be written. The 'e' stands for 'exponent'.

or: Using the calculator with the selection lists

Choose the right category from the selection list, in this case 'Computer performance (FLOPS)'.
Next enter the value you want to convert.
From the selection list, choose the unit that corresponds to the value you want to convert, in this case 'Floating point operations per second'.
The value will then be converted into all units of measurement the calculator is familiar with.

Use the full power of this unit converter to convert Floating point operations per second

With this calculator, it is possible to enter the value to be converted together with the original measurement unit; for example, '471 Floating point operations per second'. In so doing, either the full name of the unit or its abbreviation can be used Then, the calculator determines the category of the measurement unit of measure that is to be converted, in this case 'Computer performance (FLOPS)'. After that, it converts the entered value into all of the appropriate units known to it. In the resulting list, you will be sure also to find the conversion you originally sought. Regardless which of these possibilities one uses, it saves one the cumbersome search for the appropriate listing in long selection lists with myriad categories and countless supported units. All of that is taken over for us by the calculator and it gets the job done in a fraction of a second.

If required, the result can be rounded to a certain number of decimal places wherever it makes sense.
Instead of '√9' you can also write 'sqrt 9'.
Instead of '4^3' you can also write '4 exp 3' or '4 pow 3'.
The mathematical functions sin, cos, acos, exp, pow, sqrt, tan, atan and asin can also be used. Example: sin(π/2), 2 exp 3, cos(pi/2), 3 pow 2, sqrt(4), acos(1), atan(1/4), asin(1/2), tan(90°) or sin(90)
If a check mark has been placed next to 'Numbers in scientific notation', the answer will appear as an exponential. For example, 1.436 681 468 407 7×1021. For this form of presentation, the number will be segmented into an exponent, here 21, and the actual number, here 1.436 681 468 407 7. For devices on which the possibilities for displaying numbers are limited, such as for example, pocket calculators, one also finds the way of writing numbers as 1.436 681 468 407 7E+21. In particular, this makes very large and very small numbers easier to read. If a check mark has not been placed at this spot, then the result is given in the customary way of writing numbers. For the above example, it would then look like this: 1 436 681 468 407 700 000 000. Independent of the presentation of the results, the maximum precision of this calculator is 14 places. That should be precise enough for most applications.
Furthermore, the calculator makes it possible to use mathematical expressions. As a result, not only can numbers be reckoned with one another, such as, for example, '68 * 96 Floating point operations per second'. But different units of measurement can also be coupled with one another directly in the conversion. That could, for example, look like this: '12 Floating point operations per second + 40 Floating point operations per second' or '25mm x 53cm x 81dm = ? cm^3'. The units of measure combined in this way naturally have to fit together and make sense in the combination in question.