The 60-second rule
log2 counts doublings. log2(1024) = 10 because doubling 1 ten times reaches 1024. The inverse runs backward: log2(x) = 20 means x = 220 = 1,048,576. The branch cases: log2(0.5) = −1 (halving is a negative doubling), log2(10) ≈ 3.3219 (10 is between 23 = 8 and 24 = 16), and 216 = 65,536 — the old 16-bit limit that defined an era of computing.
Powers of two: 20 to 220
The reference table every programmer and student eventually memorizes. Scan for the nearest value when a calculator isn’t handy.
| n | 2n | n | 2n |
| 0 | 1 | 11 | 2,048 |
| 1 | 2 | 12 | 4,096 |
| 2 | 4 | 13 | 8,192 |
| 3 | 8 | 14 | 16,384 |
| 4 | 16 | 15 | 32,768 |
| 5 | 32 | 16 | 65,536 |
| 6 | 64 | 17 | 131,072 |
| 7 | 128 | 18 | 262,144 |
| 8 | 256 | 19 | 524,288 |
| 9 | 512 | 20 | 1,048,576 |
| 10 | 1,024 | | |
The worked example, line by line
Setup: mode log2(x), x = 1024.
Line 1 — change of base. log2(1024) = ln(1024) ÷ ln(2) ≈ 6.9315 ÷ 0.6931 = 10.
Line 2 — check by doubling. 210 = 1,024 — ten doublings of 1 reach exactly 1024. The table above confirms it.
Branch — a non-integer answer: x = 10 → log2(10) = 3.3219. Since 23 = 8 and 24 = 16, the answer must sit between 3 and 4 — 3.3219 checks out.
Branch — a negative answer: x = 0.5 → log2(0.5) = −1, because 2−1 = 1/2. Halving is a “negative doubling.”
Branch — the reverse modes: 216 = 65,536; log2(x) = 10 → x = 210 = 1,024.
Output · formula · meaning
| Output | Formula | What it means |
| log2(x) | ln(x) ÷ ln(2) | 10 for x = 1024 — the number of doublings that reach x; the bit-count of the value. |
| 2x | 2 raised to x | 65,536 for x = 16 — doubling 1 exactly x times. |
| x with log2(x) = n | 2n | 1,048,576 for n = 20 — how many distinct values n bits can name. |
Who uses this
- The programmer sizing storage: log2(1048576) = 20 — a million items fits in a 20-bit address. Every bit doubles capacity, and this page converts between the two in one click.
- The student learning log rules: checks log2(10) = 3.3219 against the table — seeing 23 = 8 < 10 < 16 = 24 makes the non-integer answer click.
- The audio engineer or musician: an octave is exactly a log2 of 1 — doubling frequency. Two octaves up from 440 Hz is 440 × 22 = 1,760 Hz.
- The data scientist or ML student: entropy is measured in bits = log2 of the possibilities — 8 equally likely outcomes carry exactly 3 bits of information.
Accuracy & limitations
Results come from the change-of-base formula log2(x) = ln(x) ÷ ln(2) computed in double-precision floating point, rounded to 4 decimal places. Very near a power of two, floating-point arithmetic can return 9.9999 or 10.0001 instead of exactly 10 — that’s the computer’s arithmetic, not your math. log2 is undefined for x ≤ 0; 2x guards at ±1024 because bigger exponents overflow to infinity and smaller ones round to zero. The powers table is exact for 20 through 220. This is a reference calculator, not a CAS — symbolic work still belongs in a classroom or a computer algebra system.
Cite this calculatorBright Side Kit. “Log Base 2 Calculator: Solve log2(x) | Bright Side Kit.”
brightoolbox.com, 2026.
Bright Side Kit. "Log Base 2 Calculator: Solve log2(x) | Bright Side Kit." https://brightoolbox.com/log-base-2-calculator/ Accessed October 24, 2026.Data sources- Change-of-base identity — log2(x) = ln(x) ÷ ln(2), the formula every calculator on this page evaluates.
- Powers-of-two table (20–220) — computed values; exact integers through 220 = 1,048,576.
Embed this calculatorPaste this into any web page to embed the live calculator. The “Bright Side Kit” link below it must stay intact.
Frequently asked questions
What is log base 2?
The number of times you double 1 to reach x. log2(1024) = 10 because 2 × 2 × … (ten times) = 1024. It’s the logarithm that counts in doublings instead of tens, which is why computing runs on it.
Why does 1024 = 2^10 matter so much?
It’s the kilobyte’s birthday. 210 = 1,024 — close enough to 1,000 that computer people named 1,024 bytes a kilobyte. Twenty of them make 220 = 1,048,576 (a megabyte), and the powers table above is the same doubling ladder, rung by rung.
How do log2, ln, and log10 differ?
Only the base. log2 counts doublings (base 2), ln counts e-foldings (base e ≈ 2.718), log10 counts tens. They convert exactly: log2(x) = ln(x) ÷ ln(2) = log10(x) ÷ log10(2). Same information, different yardstick.
Why is log2(0) undefined?
No power of 2 ever reaches 0. 2x is always positive — positive, smaller, tinier, but never zero and never negative. Asking “2 to what power is 0?” has no answer, so log2(0) and log2 of any negative are undefined.
How many bits do I need for N values?
ceil(log2(N)). Round the log up to the next whole number: 1,000 values need ceil(log2(1000)) = ceil(9.97) = 10 bits. That’s exactly what the “solve log2(x) = n” mode does in reverse — it names how many values n bits hold.
Why does my answer come out 9.9999 instead of 10?
Floating-point rounding. The change-of-base formula divides two irrational logs, so near a power of two the result can land a hair off the integer. The math is right; the display shows the raw double. Round to the nearest whole number when you’re clearly at a power of two.