R2E3 Mermaid Review: Ranked #1091 of 1398

Last updated: October 20, 2026

The R2E3 Mermaid ranks #1091 out of 1398 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Prices on this page were last checked October 19, 2026 at 10:32 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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R2E3 Mermaid - ranked #1091 of 1398 In-Ear Headphones · Editor's rating 3/5

#1091 R2E3 Mermaid: $66.00 Discontinued eBay

Pros: A single beryllium plated dynamic driver earphone whose presence is about 1.4 dB above target, so vocals come through clearly, and the midrange stays close to target. 106 dB sensitivity runs from a phone.

Cons: Sub bass sits about 6.4 dB below target, so the low end is thin, and an 8.6 dB dip near 6.3 kHz followed by a 5 dB peak near 8.2 kHz makes the treble uneven. Deviation is high at 3.1 dB, and it is discontinued.

Is the R2E3 Mermaid right for you?

Buy it if

  • you are happy to use EQ: our preset lifts its Harman match by about 24 points.

Skip it if

  • you want to buy it new: it is discontinued.
Released2023 (3 years ago)
BackClosed
ConnectionWired
Deviation From Target3.14 dB standard deviation
Driver TypeDynamic
Drivers1 x 10mm beryllium-plated dynamic
Form FactorIn-ear
Harman Preference Score62 (median of 3 squig.link measurements, calibrated to AutoEQ)
Impedance17 ohms
Sensitivity106 dB @1kHz
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-5.3 dB at 30 Hz)
Tonal Tilt+0.44 (negative is warmer, positive brighter)

EQ Presets

Harman 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 the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 86 out of 100, up from 62.

FilterFrequencyGainQ
Low shelf105 Hz+3.8 dB0.70
High shelf10,000 Hz+0.5 dB0.70
Peak23 Hz+2.6 dB1.57
Peak73 Hz-1.2 dB2.82
Peak148 Hz-4.0 dB0.75
Peak288 Hz-0.8 dB2.96
Peak804 Hz+1.5 dB1.84
Peak2,396 Hz-4.8 dB2.23
Peak4,055 Hz-2.1 dB6.00
Peak5,767 Hz+6.0 dB5.43

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: 87 out of 100, up from 54.

FilterFrequencyGainQ
Low shelf105 Hz-4.7 dB0.70
High shelf10,000 Hz+0.5 dB0.70
Peak23 Hz+2.4 dB1.81
Peak69 Hz-1.0 dB2.85
Peak139 Hz-4.1 dB0.70
Peak282 Hz-0.9 dB2.87
Peak802 Hz+1.5 dB1.82
Peak2,396 Hz-4.8 dB2.24
Peak4,055 Hz-2.1 dB6.00
Peak5,767 Hz+6.0 dB5.43

Studio flat target

Set a preamp of -6.0 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: 88 out of 100, up from 40.

FilterFrequencyGainQ
Low shelf105 Hz-7.2 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak23 Hz+1.9 dB2.10
Peak159 Hz-5.8 dB0.70
Peak785 Hz+1.5 dB2.10
Peak2,237 Hz-3.2 dB5.36
Peak4,139 Hz-3.5 dB5.35
Peak5,859 Hz+6.0 dB6.00
Peak8,000 Hz+1.0 dB1.60

Warm 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 the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 89 out of 100, up from 59.

FilterFrequencyGainQ
Low shelf105 Hz+4.0 dB0.70
High shelf10,000 Hz-3.1 dB0.70
Peak24 Hz+2.4 dB1.58
Peak143 Hz-3.8 dB0.79
Peak808 Hz+1.8 dB1.80
Peak2,476 Hz-5.8 dB1.89
Peak4,121 Hz-3.8 dB5.73
Peak5,884 Hz+6.0 dB6.00

Bass 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 the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 82 out of 100, up from 48.

FilterFrequencyGainQ
Low shelf105 Hz+5.6 dB0.70
High shelf10,000 Hz+0.5 dB0.70
Peak49 Hz+1.2 dB2.23
Peak180 Hz-3.6 dB0.96
Peak807 Hz+1.5 dB1.85
Peak2,396 Hz-4.8 dB2.23
Peak4,055 Hz-2.1 dB6.00
Peak5,768 Hz+6.0 dB5.44

Bright target

Set a preamp of -6.0 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: 78 out of 100, up from 42.

FilterFrequencyGainQ
Low shelf105 Hz-4.7 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak23 Hz+2.3 dB1.82
Peak139 Hz-4.2 dB0.69
Peak782 Hz+1.5 dB2.10
Peak2,321 Hz-4.8 dB3.04
Peak5,543 Hz+6.0 dB3.74

V-shaped 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 the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 75 out of 100, up from 48.

FilterFrequencyGainQ
Low shelf105 Hz+5.8 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak53 Hz+0.9 dB2.33
Peak178 Hz-2.2 dB1.15
Peak698 Hz+1.1 dB2.14
Peak2,303 Hz-4.3 dB3.39
Peak5,488 Hz+6.0 dB3.37

Frequency Response

How the R2E3 Mermaid 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.

R2E3 MermaidHarman target
Measured frequency response of the R2E3 Mermaid-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 3 measurements from the squig.link databases of eplv, fahryst and timmyv. Thanks to each of them for publishing their work.