The AME Gaia ranks #619 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
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#619 AME Gaia: $3,200 AME official store $3,200 eBay
Pros: A broadly balanced tuning with a preference score of 71 against the Harman target.
Cons: An uneven response, 2.1 dB standard deviation from target.
Is the AME Gaia right for you?
Buy it if
- you want sub-bass rumble that reaches down to 20 Hz.
- you are happy to use EQ: our preset lifts its Harman match by about 14 points.
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $3,176 less.
| Back | Closed |
|---|---|
| Connection | Wired (3.5mm / 4.4mm) |
| Deviation From Target | 2.09 dB standard deviation |
| Driver Type | Tribrid |
| Drivers | 1 Dynamic, 4 Balanced Armature, 4 Electrostatic |
| Form Factor | In-ear |
| Harman Preference Score | 71 (median of 3 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+2.0 dB at 30 Hz) |
| Tonal Tilt | -0.21 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 85 out of 100, up from 71.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.2 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 158 Hz | -2.5 dB | 1.19 |
| Peak | 684 Hz | +2.2 dB | 1.97 |
| Peak | 1,792 Hz | -2.9 dB | 2.66 |
| Peak | 5,891 Hz | +5.9 dB | 4.97 |
Neutral target
Set a preamp of -5.3 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 88 out of 100, up from 36.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.8 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 144 Hz | -2.4 dB | 0.98 |
| Peak | 681 Hz | +2.2 dB | 1.94 |
| Peak | 1,792 Hz | -2.9 dB | 2.66 |
| Peak | 5,891 Hz | +6.0 dB | 4.97 |
Studio flat target
Set a preamp of -3.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 89 out of 100, up from 22.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.7 dB | 0.70 |
| High shelf | 10,000 Hz | -2.1 dB | 0.70 |
| Peak | 157 Hz | -4.3 dB | 0.87 |
| Peak | 698 Hz | +2.1 dB | 2.24 |
| Peak | 1,683 Hz | -2.2 dB | 3.63 |
| Peak | 2,773 Hz | +2.6 dB | 4.75 |
| Peak | 3,224 Hz | +1.2 dB | 6.00 |
| Peak | 4,289 Hz | -1.9 dB | 6.00 |
| Peak | 6,014 Hz | +4.0 dB | 4.90 |
Warm target
Set a preamp of -2.3 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 84 out of 100, up from 70.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.0 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 160 Hz | -2.2 dB | 1.09 |
| Peak | 718 Hz | +2.6 dB | 2.15 |
| Peak | 2,030 Hz | -3.1 dB | 1.47 |
| Peak | 4,135 Hz | -2.6 dB | 5.68 |
| Peak | 6,060 Hz | +3.2 dB | 6.00 |
| Peak | 8,000 Hz | -3.4 dB | 6.00 |
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 the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 87 out of 100, up from 70.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.6 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 186 Hz | -2.4 dB | 1.33 |
| Peak | 676 Hz | +2.2 dB | 1.85 |
| Peak | 1,792 Hz | -2.9 dB | 2.65 |
| Peak | 5,891 Hz | +5.9 dB | 4.98 |
Bright target
Set a preamp of -5.7 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 86 out of 100, up from 29.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.8 dB | 0.70 |
| High shelf | 10,000 Hz | -4.9 dB | 0.70 |
| Peak | 143 Hz | -2.4 dB | 0.95 |
| Peak | 679 Hz | +2.1 dB | 1.96 |
| Peak | 1,757 Hz | -2.9 dB | 2.98 |
| Peak | 5,621 Hz | +6.0 dB | 2.43 |
V-shaped target
Set a preamp of -5.8 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 84 out of 100, up from 72.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.2 dB | 0.70 |
| High shelf | 10,000 Hz | -3.3 dB | 0.70 |
| Peak | 609 Hz | +2.0 dB | 1.81 |
| Peak | 1,676 Hz | -2.6 dB | 3.08 |
| Peak | 3,131 Hz | +1.4 dB | 4.71 |
| Peak | 5,511 Hz | +6.0 dB | 2.19 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the AME Gaia 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 the median of 3 independent measurements, so one odd sample or rig cannot skew it, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.
Measurement data: median of 3 measurements from the squig.link databases of dchpgall, eliseaudio and jaytiss. Thanks to each of them for publishing their work.
