beyerdynamic Amiron 300 Review: Ranked #510 of 1476

Last updated: October 21, 2026

The beyerdynamic Amiron 300 ranks #510 out of 1476 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Beyerdynamic

Prices on this page were last checked October 20, 2026 at 10:35 PM UTC. Product prices and availability are accurate as of that date/time and are subject to change; the price and availability shown on Amazon at the time of purchase will apply to the purchase of this product.

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#510 beyerdynamic Amiron 300: $169.99 Wireless Amazon $169.99 eBay

Pros: ANC earbuds at about $170 with LDAC, multipoint, IP54 and six call mics, and a preference score of 74. Bass and midrange stay within about 1 dB of target above 60 Hz.

Cons: Presence is 3.4 dB low with a 4.5 dB dip near 3.6 kHz, while a 7.0 dB peak near 7.9 kHz and an 8.8 dB dip near 11.2 kHz make treble uneven. Battery is 7 hours with ANC, and the score rests on a single measurement.

Is the beyerdynamic Amiron 300 right for you?

Buy it if

  • you want sub-bass rumble that reaches down to 20 Hz.
  • you want noise cancelling for commutes or flights.
  • you are happy to use EQ: our preset lifts its Harman match by about 14 points.

Skip it if

Released2024 (2 years ago)
Active Noise CancellingYes
BackClosed
Battery Life7 hours (ANC on), 10 hours (ANC off); 28 more hours with case
Bluetooth CodecsSBC, AAC, LDAC
Bluetooth Version5.3
Built-in MicrophoneYes
ConnectionWireless
Deviation From Target2.20 dB standard deviation
Driver TypeDynamic
Drivers1 x 10mm dynamic
Form FactorIn-ear
Frequency Response20Hz - 40kHz (Manufacturer specified)
Harman Preference Score74 (1 squig.link measurement, calibrated to AutoEQ)
IP RatingIP54
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-3.4 dB at 30 Hz)
Tonal Tilt-0.11 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -5.4 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 88 out of 100, up from 74.

FilterFrequencyGainQ
Low shelf105 Hz+1.8 dB0.70
High shelf10,000 Hz-1.7 dB0.70
Peak23 Hz+2.2 dB2.07
Peak95 Hz-3.3 dB1.71
Peak196 Hz+1.1 dB4.26
Peak413 Hz-1.7 dB1.89
Peak3,354 Hz+5.2 dB1.55
Peak4,347 Hz+1.3 dB6.00
Peak7,458 Hz-3.2 dB4.93

Neutral target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 87 out of 100, up from 45.

FilterFrequencyGainQ
Low shelf105 Hz-6.7 dB0.70
High shelf10,000 Hz-1.7 dB0.70
Peak92 Hz-3.4 dB1.43
Peak416 Hz-1.6 dB1.97
Peak3,353 Hz+5.2 dB1.55
Peak7,458 Hz-3.2 dB4.94

Studio flat target

Set a preamp of -6.3 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 85 out of 100, up from 26.

FilterFrequencyGainQ
Low shelf105 Hz-9.3 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak23 Hz+1.5 dB1.58
Peak117 Hz-3.2 dB0.51
Peak198 Hz+1.4 dB3.97
Peak421 Hz-1.9 dB1.98
Peak2,773 Hz+6.0 dB1.54
Peak3,781 Hz+2.5 dB3.94
Peak5,464 Hz-1.7 dB6.00
Peak7,149 Hz-3.0 dB3.16

Warm target

Set a preamp of -4.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 89 out of 100, up from 74.

FilterFrequencyGainQ
Low shelf105 Hz+2.1 dB0.70
High shelf10,000 Hz-4.3 dB0.70
Peak23 Hz+2.1 dB2.22
Peak93 Hz-3.2 dB1.82
Peak197 Hz+1.2 dB4.13
Peak405 Hz-1.4 dB2.34
Peak3,253 Hz+3.5 dB1.78
Peak4,238 Hz+1.2 dB6.00
Peak5,569 Hz-2.1 dB6.00
Peak7,406 Hz-5.1 dB4.71

Bass target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 86 out of 100, up from 62.

FilterFrequencyGainQ
Low shelf105 Hz+5.1 dB0.70
High shelf10,000 Hz-1.7 dB0.70
Peak98 Hz-2.9 dB2.06
Peak411 Hz-1.7 dB1.85
Peak3,354 Hz+5.2 dB1.55
Peak7,458 Hz-3.2 dB4.92

Bright target

Set a preamp of -6.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 84 out of 100, up from 34.

FilterFrequencyGainQ
Low shelf105 Hz-6.7 dB0.70
High shelf10,000 Hz+0.7 dB0.70
Peak92 Hz-3.5 dB1.38
Peak426 Hz-1.7 dB1.73
Peak3,792 Hz+6.0 dB1.06

V-shaped target

Set a preamp of -6.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 78 out of 100, up from 61.

FilterFrequencyGainQ
Low shelf105 Hz+5.5 dB0.70
High shelf10,000 Hz+1.5 dB0.70
Peak3,573 Hz+6.0 dB0.94

Frequency Response

How the beyerdynamic Amiron 300 measures across the audible range, against the Harman in-ear target that most listeners prefer in blind tests. Where the line sits above the target that range sounds louder (more bass, brighter treble), below it quieter. The curve is a single measurement, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.

beyerdynamic Amiron 300Harman target
Measured frequency response of the beyerdynamic Amiron 300-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: a single measurement from the squig.link database of dhrme. Thanks to them for publishing their work.

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