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A single precision floating point operation uses 32 bits to represent a floating point number, while a double precision floating point operation uses 64 bits to represent a floating point number. This means that double precision is able to store more significant digits and has a higher precision than single precision. The tradeoff is that double precision requires more memory and processing power than single precision operations.