64bit IEEE 754: Decimal ↗ Double Precision Floating Point Binary: 348.002 929 8 Convert the Number to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard, From a Base Ten Decimal System Number

Number 348.002 929 8(10) converted and written in 64 bit double precision IEEE 754 binary floating point representation (1 bit for sign, 11 bits for exponent, 52 bits for mantissa)

1. First, convert to binary (in base 2) the integer part: 348.
Divide the number repeatedly by 2.

Keep track of each remainder.

We stop when we get a quotient that is equal to zero.


  • division = quotient + remainder;
  • 348 ÷ 2 = 174 + 0;
  • 174 ÷ 2 = 87 + 0;
  • 87 ÷ 2 = 43 + 1;
  • 43 ÷ 2 = 21 + 1;
  • 21 ÷ 2 = 10 + 1;
  • 10 ÷ 2 = 5 + 0;
  • 5 ÷ 2 = 2 + 1;
  • 2 ÷ 2 = 1 + 0;
  • 1 ÷ 2 = 0 + 1;

2. Construct the base 2 representation of the integer part of the number.

Take all the remainders starting from the bottom of the list constructed above.


348(10) =


1 0101 1100(2)


3. Convert to binary (base 2) the fractional part: 0.002 929 8.

Multiply it repeatedly by 2.


Keep track of each integer part of the results.


Stop when we get a fractional part that is equal to zero.


  • #) multiplying = integer + fractional part;
  • 1) 0.002 929 8 × 2 = 0 + 0.005 859 6;
  • 2) 0.005 859 6 × 2 = 0 + 0.011 719 2;
  • 3) 0.011 719 2 × 2 = 0 + 0.023 438 4;
  • 4) 0.023 438 4 × 2 = 0 + 0.046 876 8;
  • 5) 0.046 876 8 × 2 = 0 + 0.093 753 6;
  • 6) 0.093 753 6 × 2 = 0 + 0.187 507 2;
  • 7) 0.187 507 2 × 2 = 0 + 0.375 014 4;
  • 8) 0.375 014 4 × 2 = 0 + 0.750 028 8;
  • 9) 0.750 028 8 × 2 = 1 + 0.500 057 6;
  • 10) 0.500 057 6 × 2 = 1 + 0.000 115 2;
  • 11) 0.000 115 2 × 2 = 0 + 0.000 230 4;
  • 12) 0.000 230 4 × 2 = 0 + 0.000 460 8;
  • 13) 0.000 460 8 × 2 = 0 + 0.000 921 6;
  • 14) 0.000 921 6 × 2 = 0 + 0.001 843 2;
  • 15) 0.001 843 2 × 2 = 0 + 0.003 686 4;
  • 16) 0.003 686 4 × 2 = 0 + 0.007 372 8;
  • 17) 0.007 372 8 × 2 = 0 + 0.014 745 6;
  • 18) 0.014 745 6 × 2 = 0 + 0.029 491 2;
  • 19) 0.029 491 2 × 2 = 0 + 0.058 982 4;
  • 20) 0.058 982 4 × 2 = 0 + 0.117 964 8;
  • 21) 0.117 964 8 × 2 = 0 + 0.235 929 6;
  • 22) 0.235 929 6 × 2 = 0 + 0.471 859 2;
  • 23) 0.471 859 2 × 2 = 0 + 0.943 718 4;
  • 24) 0.943 718 4 × 2 = 1 + 0.887 436 8;
  • 25) 0.887 436 8 × 2 = 1 + 0.774 873 6;
  • 26) 0.774 873 6 × 2 = 1 + 0.549 747 2;
  • 27) 0.549 747 2 × 2 = 1 + 0.099 494 4;
  • 28) 0.099 494 4 × 2 = 0 + 0.198 988 8;
  • 29) 0.198 988 8 × 2 = 0 + 0.397 977 6;
  • 30) 0.397 977 6 × 2 = 0 + 0.795 955 2;
  • 31) 0.795 955 2 × 2 = 1 + 0.591 910 4;
  • 32) 0.591 910 4 × 2 = 1 + 0.183 820 8;
  • 33) 0.183 820 8 × 2 = 0 + 0.367 641 6;
  • 34) 0.367 641 6 × 2 = 0 + 0.735 283 2;
  • 35) 0.735 283 2 × 2 = 1 + 0.470 566 4;
  • 36) 0.470 566 4 × 2 = 0 + 0.941 132 8;
  • 37) 0.941 132 8 × 2 = 1 + 0.882 265 6;
  • 38) 0.882 265 6 × 2 = 1 + 0.764 531 2;
  • 39) 0.764 531 2 × 2 = 1 + 0.529 062 4;
  • 40) 0.529 062 4 × 2 = 1 + 0.058 124 8;
  • 41) 0.058 124 8 × 2 = 0 + 0.116 249 6;
  • 42) 0.116 249 6 × 2 = 0 + 0.232 499 2;
  • 43) 0.232 499 2 × 2 = 0 + 0.464 998 4;
  • 44) 0.464 998 4 × 2 = 0 + 0.929 996 8;
  • 45) 0.929 996 8 × 2 = 1 + 0.859 993 6;
  • 46) 0.859 993 6 × 2 = 1 + 0.719 987 2;
  • 47) 0.719 987 2 × 2 = 1 + 0.439 974 4;
  • 48) 0.439 974 4 × 2 = 0 + 0.879 948 8;
  • 49) 0.879 948 8 × 2 = 1 + 0.759 897 6;
  • 50) 0.759 897 6 × 2 = 1 + 0.519 795 2;
  • 51) 0.519 795 2 × 2 = 1 + 0.039 590 4;
  • 52) 0.039 590 4 × 2 = 0 + 0.079 180 8;
  • 53) 0.079 180 8 × 2 = 0 + 0.158 361 6;

We didn't get any fractional part that was equal to zero. But we had enough iterations (over Mantissa limit) and at least one integer that was different from zero => FULL STOP (losing precision...)


4. Construct the base 2 representation of the fractional part of the number.

Take all the integer parts of the multiplying operations, starting from the top of the constructed list above:


0.002 929 8(10) =


0.0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000 1110 1110 0(2)


5. Positive number before normalization:

348.002 929 8(10) =


1 0101 1100.0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000 1110 1110 0(2)

6. Normalize the binary representation of the number.

Shift the decimal mark 8 positions to the left, so that only one non zero digit remains to the left of it:


348.002 929 8(10) =


1 0101 1100.0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000 1110 1110 0(2) =


1 0101 1100.0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000 1110 1110 0(2) × 20 =


1.0101 1100 0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000 1110 1110 0(2) × 28


7. Up to this moment, there are the following elements that would feed into the 64 bit double precision IEEE 754 binary floating point representation:

Sign 0 (a positive number)


Exponent (unadjusted): 8


Mantissa (not normalized):
1.0101 1100 0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000 1110 1110 0


8. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =


Exponent (unadjusted) + 2(11-1) - 1 =


8 + 2(11-1) - 1 =


(8 + 1 023)(10) =


1 031(10)


9. Convert the adjusted exponent from the decimal (base 10) to 11 bit binary.

Use the same technique of repeatedly dividing by 2:


  • division = quotient + remainder;
  • 1 031 ÷ 2 = 515 + 1;
  • 515 ÷ 2 = 257 + 1;
  • 257 ÷ 2 = 128 + 1;
  • 128 ÷ 2 = 64 + 0;
  • 64 ÷ 2 = 32 + 0;
  • 32 ÷ 2 = 16 + 0;
  • 16 ÷ 2 = 8 + 0;
  • 8 ÷ 2 = 4 + 0;
  • 4 ÷ 2 = 2 + 0;
  • 2 ÷ 2 = 1 + 0;
  • 1 ÷ 2 = 0 + 1;

10. Construct the base 2 representation of the adjusted exponent.

Take all the remainders starting from the bottom of the list constructed above.


Exponent (adjusted) =


1031(10) =


100 0000 0111(2)


11. Normalize the mantissa.

a) Remove the leading (the leftmost) bit, since it's allways 1, and the decimal point, if the case.


b) Adjust its length to 52 bits, by removing the excess bits, from the right (if any of the excess bits is set on 1, we are losing precision...).


Mantissa (normalized) =


1. 0101 1100 0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000 1 1101 1100 =


0101 1100 0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000


12. The three elements that make up the number's 64 bit double precision IEEE 754 binary floating point representation:

Sign (1 bit) =
0 (a positive number)


Exponent (11 bits) =
100 0000 0111


Mantissa (52 bits) =
0101 1100 0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000


The base ten decimal number 348.002 929 8 converted and written in 64 bit double precision IEEE 754 binary floating point representation:
0 - 100 0000 0111 - 0101 1100 0000 0000 1100 0000 0000 0001 1110 0011 0010 1111 0000

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How to convert numbers from the decimal system (base ten) to 64 bit double precision IEEE 754 binary floating point standard

Follow the steps below to convert a base 10 decimal number to 64 bit double precision IEEE 754 binary floating point:

  • 1. If the number to be converted is negative, start with its the positive version.
  • 2. First convert the integer part. Divide repeatedly by 2 the positive representation of the integer number that is to be converted to binary, until we get a quotient that is equal to zero, keeping track of each remainder.
  • 3. Construct the base 2 representation of the positive integer part of the number, by taking all the remainders from the previous operations, starting from the bottom of the list constructed above. Thus, the last remainder of the divisions becomes the first symbol (the leftmost) of the base two number, while the first remainder becomes the last symbol (the rightmost).
  • 4. Then convert the fractional part. Multiply the number repeatedly by 2, until we get a fractional part that is equal to zero, keeping track of each integer part of the results.
  • 5. Construct the base 2 representation of the fractional part of the number, by taking all the integer parts of the multiplying operations, starting from the top of the list constructed above (they should appear in the binary representation, from left to right, in the order they have been calculated).
  • 6. Normalize the binary representation of the number, shifting the decimal mark (the decimal point) "n" positions either to the left, or to the right, so that only one non zero digit remains to the left of the decimal mark.
  • 7. Adjust the exponent in 11 bit excess/bias notation and then convert it from decimal (base 10) to 11 bit binary, by using the same technique of repeatedly dividing by 2, as shown above:
    Exponent (adjusted) = Exponent (unadjusted) + 2(11-1) - 1
  • 8. Normalize mantissa, remove the leading (leftmost) bit, since it's allways '1' (and the decimal mark, if the case) and adjust its length to 52 bits, either by removing the excess bits from the right (losing precision...) or by adding extra bits set on '0' to the right.
  • 9. Sign (it takes 1 bit) is either 1 for a negative or 0 for a positive number.

Example: convert the negative number -31.640 215 from the decimal system (base ten) to 64 bit double precision IEEE 754 binary floating point:

  • 1. Start with the positive version of the number:

    |-31.640 215| = 31.640 215

  • 2. First convert the integer part, 31. Divide it repeatedly by 2, keeping track of each remainder, until we get a quotient that is equal to zero:
    • division = quotient + remainder;
    • 31 ÷ 2 = 15 + 1;
    • 15 ÷ 2 = 7 + 1;
    • 7 ÷ 2 = 3 + 1;
    • 3 ÷ 2 = 1 + 1;
    • 1 ÷ 2 = 0 + 1;
    • We have encountered a quotient that is ZERO => FULL STOP
  • 3. Construct the base 2 representation of the integer part of the number by taking all the remainders of the previous dividing operations, starting from the bottom of the list constructed above:

    31(10) = 1 1111(2)

  • 4. Then, convert the fractional part, 0.640 215. Multiply repeatedly by 2, keeping track of each integer part of the results, until we get a fractional part that is equal to zero:
    • #) multiplying = integer + fractional part;
    • 1) 0.640 215 × 2 = 1 + 0.280 43;
    • 2) 0.280 43 × 2 = 0 + 0.560 86;
    • 3) 0.560 86 × 2 = 1 + 0.121 72;
    • 4) 0.121 72 × 2 = 0 + 0.243 44;
    • 5) 0.243 44 × 2 = 0 + 0.486 88;
    • 6) 0.486 88 × 2 = 0 + 0.973 76;
    • 7) 0.973 76 × 2 = 1 + 0.947 52;
    • 8) 0.947 52 × 2 = 1 + 0.895 04;
    • 9) 0.895 04 × 2 = 1 + 0.790 08;
    • 10) 0.790 08 × 2 = 1 + 0.580 16;
    • 11) 0.580 16 × 2 = 1 + 0.160 32;
    • 12) 0.160 32 × 2 = 0 + 0.320 64;
    • 13) 0.320 64 × 2 = 0 + 0.641 28;
    • 14) 0.641 28 × 2 = 1 + 0.282 56;
    • 15) 0.282 56 × 2 = 0 + 0.565 12;
    • 16) 0.565 12 × 2 = 1 + 0.130 24;
    • 17) 0.130 24 × 2 = 0 + 0.260 48;
    • 18) 0.260 48 × 2 = 0 + 0.520 96;
    • 19) 0.520 96 × 2 = 1 + 0.041 92;
    • 20) 0.041 92 × 2 = 0 + 0.083 84;
    • 21) 0.083 84 × 2 = 0 + 0.167 68;
    • 22) 0.167 68 × 2 = 0 + 0.335 36;
    • 23) 0.335 36 × 2 = 0 + 0.670 72;
    • 24) 0.670 72 × 2 = 1 + 0.341 44;
    • 25) 0.341 44 × 2 = 0 + 0.682 88;
    • 26) 0.682 88 × 2 = 1 + 0.365 76;
    • 27) 0.365 76 × 2 = 0 + 0.731 52;
    • 28) 0.731 52 × 2 = 1 + 0.463 04;
    • 29) 0.463 04 × 2 = 0 + 0.926 08;
    • 30) 0.926 08 × 2 = 1 + 0.852 16;
    • 31) 0.852 16 × 2 = 1 + 0.704 32;
    • 32) 0.704 32 × 2 = 1 + 0.408 64;
    • 33) 0.408 64 × 2 = 0 + 0.817 28;
    • 34) 0.817 28 × 2 = 1 + 0.634 56;
    • 35) 0.634 56 × 2 = 1 + 0.269 12;
    • 36) 0.269 12 × 2 = 0 + 0.538 24;
    • 37) 0.538 24 × 2 = 1 + 0.076 48;
    • 38) 0.076 48 × 2 = 0 + 0.152 96;
    • 39) 0.152 96 × 2 = 0 + 0.305 92;
    • 40) 0.305 92 × 2 = 0 + 0.611 84;
    • 41) 0.611 84 × 2 = 1 + 0.223 68;
    • 42) 0.223 68 × 2 = 0 + 0.447 36;
    • 43) 0.447 36 × 2 = 0 + 0.894 72;
    • 44) 0.894 72 × 2 = 1 + 0.789 44;
    • 45) 0.789 44 × 2 = 1 + 0.578 88;
    • 46) 0.578 88 × 2 = 1 + 0.157 76;
    • 47) 0.157 76 × 2 = 0 + 0.315 52;
    • 48) 0.315 52 × 2 = 0 + 0.631 04;
    • 49) 0.631 04 × 2 = 1 + 0.262 08;
    • 50) 0.262 08 × 2 = 0 + 0.524 16;
    • 51) 0.524 16 × 2 = 1 + 0.048 32;
    • 52) 0.048 32 × 2 = 0 + 0.096 64;
    • 53) 0.096 64 × 2 = 0 + 0.193 28;
    • We didn't get any fractional part that was equal to zero. But we had enough iterations (over Mantissa limit = 52) and at least one integer part that was different from zero => FULL STOP (losing precision...).
  • 5. Construct the base 2 representation of the fractional part of the number, by taking all the integer parts of the previous multiplying operations, starting from the top of the constructed list above:

    0.640 215(10) = 0.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2)

  • 6. Summarizing - the positive number before normalization:

    31.640 215(10) = 1 1111.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2)

  • 7. Normalize the binary representation of the number, shifting the decimal mark 4 positions to the left so that only one non-zero digit stays to the left of the decimal mark:

    31.640 215(10) =
    1 1111.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2) =
    1 1111.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2) × 20 =
    1.1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2) × 24

  • 8. Up to this moment, there are the following elements that would feed into the 64 bit double precision IEEE 754 binary floating point representation:

    Sign: 1 (a negative number)

    Exponent (unadjusted): 4

    Mantissa (not-normalized): 1.1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0

  • 9. Adjust the exponent in 11 bit excess/bias notation and then convert it from decimal (base 10) to 11 bit binary (base 2), by using the same technique of repeatedly dividing it by 2, as shown above:

    Exponent (adjusted) = Exponent (unadjusted) + 2(11-1) - 1 = (4 + 1023)(10) = 1027(10) =
    100 0000 0011(2)

  • 10. Normalize mantissa, remove the leading (leftmost) bit, since it's allways '1' (and the decimal sign) and adjust its length to 52 bits, by removing the excess bits, from the right (losing precision...):

    Mantissa (not-normalized): 1.1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0

    Mantissa (normalized): 1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100

  • Conclusion:

    Sign (1 bit) = 1 (a negative number)

    Exponent (8 bits) = 100 0000 0011

    Mantissa (52 bits) = 1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100

  • Number -31.640 215, converted from decimal system (base 10) to 64 bit double precision IEEE 754 binary floating point =
    1 - 100 0000 0011 - 1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100