Free Fire sensitivity for iPhone 15

Recommended sensitivity, DPI and HUD for the iPhone 15.

The recommended Free Fire sensitivity for the iPhone 15 is: general 97, red dot 97, 2x scope 94, 4x scope 92, AWM 83 and free look 99, with the fire button at 63%.

iPhone 15 sensitivity
General97
Red dot97
2x scope94
4x scope92
AWM (sniper)83
Free look99
Suggested DPINot available on iPhone
Fire button63%
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Phone specs

ChipsetApple A16 Bionic
Screen6.1″
Refresh rate60 Hz
Free Fire tierTop / gamer

Why these values

The Apple A16 Bionic is a flagship chipset and runs Free Fire with headroom to spare. You can push sensitivity close to the maximum — the limit becomes your control, not the phone.

The screen is 60 Hz, so there's no point chasing higher FPS — use lighter graphics to keep a stable 60.

On a 6.1″ screen, a bigger fire button (63%) avoids missed taps mid-fight.

iPhones have no DPI setting — use the in-game sensitivity only.

Recommended graphics settings

  • Graphics: Ultra
  • Frame rate: the highest available
  • Shadows: on

How to apply it in Free Fire

  1. Open Free Fire and tap the gear icon (Settings).
  2. Go to Sensitivity and set each slider to the values above.
  3. In Controls › Custom HUD, set the fire button to 63%.
  4. Play a training match and adjust 5 points up or down if your aim feels slow or overshoots.

Frequently asked questions

What is the best Free Fire sensitivity for the iPhone 15?

The recommended Free Fire sensitivity for the iPhone 15 is: general 97, red dot 97, 2x scope 94, 4x scope 92, AWM 83 and free look 99, with the fire button at 63%.

Does the iPhone 15 run Free Fire smoothly?

Yes, easily. The Apple A16 Bionic runs Free Fire on the highest graphics without losing stability.

Do I need to change the iPhone 15's DPI?

No. iPhones have no DPI setting; everything is done through the in-game sensitivity.

Why isn't my sensitivity the same as another player's?

Sensitivity is personal: it depends on your hand size, whether you play with 2 or 4 fingers, and your style. Use these values as a starting point and fine-tune them in training mode.

Updated November 2026