To be pedantic (apologies), I’m certain you know this, but not everyone thinks about floats - precision loss is almost always occurring in practice with every floating point operation you do, and happens often even when combining numbers of exactly the same magnitude (exponent). They’re just very small losses on the order of 0.5 ULP on average, and it would take many many of those to add up to audible artifacts. It is sometimes possible, but quite rare to do any float math and have no precision loss, that only works if you can change the exponent without touching the mantissa, or in the narrow range of add & subtract operations where the exponents of the operands and the result are all the same. Multiplication is always rounding even when all input & output exponents are identical.