Lime Ears Anima Review: Ranked #937 of 1291

Last updated: October 17, 2026

The Lime Ears Anima ranks #937 out of 1291 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Lime Ears

Prices on this page were last checked October 16, 2026 at 5:46 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.

As an eBay Partner, we may be compensated if you make a purchase.

#937 Lime Ears Anima: $3,800 Discontinued Lime Ears $3,800 eBay

Pros: A published AutoEQ preset corrects its response toward the Harman target, so a few minutes of EQ setup closes most of the gap.

Cons: Treble about 6 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. An uneven response, 2.7 dB standard deviation from target. Discontinued.

Is the Lime Ears Anima right for you?

Buy it if

  • you are sensitive to bright or sharp treble (treble sits 6.5 dB below target).
  • you are happy to use EQ: our preset lifts its Harman match by about 16 points.

Skip it if

  • you want to buy it new: it is discontinued.
BackClosed
ConnectionWired
Deviation From Target2.71 dB standard deviation
Driver TypeTribrid (Dynamic + Balanced Armature + Electrostatic)
Drivers13 drivers per side (1 x 7mm titanium dynamic driver + 8 Balanced Armature + 4 Electrostatic drivers)
Form FactorIn-ear
Frequency ResponseNot specified
Harman Preference Score65 (median of 4 squig.link measurements, calibrated to AutoEQ)
Impedance16 ohms
Sensitivity112 dB
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-1.0 dB at 30 Hz)
Tonal Tilt-0.47 (negative is warmer, positive brighter)
WeightNot specified

EQ Presets

Harman 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 the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 81 out of 100, up from 65.

FilterFrequencyGainQ
Low shelf105 Hz+2.1 dB0.70
High shelf10,000 Hz-1.4 dB0.70
Peak200 Hz+2.7 dB0.69
Peak1,247 Hz-2.3 dB2.53
Peak3,323 Hz+2.0 dB2.03
Peak5,345 Hz+5.7 dB0.64
Peak6,959 Hz-3.4 dB5.57

Neutral target

Set a preamp of -6.2 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 83 out of 100, up from 35.

FilterFrequencyGainQ
Low shelf105 Hz-6.4 dB0.70
High shelf10,000 Hz-1.4 dB0.70
Peak23 Hz-1.2 dB1.40
Peak225 Hz+2.8 dB0.81
Peak1,274 Hz-2.2 dB2.07
Peak3,394 Hz+2.1 dB2.79
Peak5,345 Hz+5.7 dB0.64
Peak6,959 Hz-3.4 dB5.57

Studio flat target

Set a preamp of -6.7 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 85 out of 100, up from 20.

FilterFrequencyGainQ
Low shelf105 Hz-9.0 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak24 Hz-1.6 dB1.78
Peak251 Hz+1.0 dB0.76
Peak1,412 Hz-3.1 dB1.69
Peak2,773 Hz+6.0 dB0.92
Peak3,994 Hz+1.2 dB4.13
Peak5,345 Hz+4.3 dB2.72

Warm target

Set a preamp of -6.2 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 88 out of 100, up from 73.

FilterFrequencyGainQ
Low shelf105 Hz+2.4 dB0.70
High shelf10,000 Hz-5.1 dB0.70
Peak206 Hz+3.0 dB0.67
Peak1,340 Hz-2.1 dB2.18
Peak3,680 Hz+2.2 dB3.99
Peak5,345 Hz+6.0 dB0.84
Peak6,854 Hz-2.5 dB5.43

Bass 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 the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 83 out of 100, up from 63.

FilterFrequencyGainQ
Low shelf105 Hz+5.8 dB0.70
High shelf10,000 Hz-1.4 dB0.70
Peak190 Hz+2.7 dB0.63
Peak1,245 Hz-2.3 dB2.51
Peak3,324 Hz+2.0 dB2.03
Peak5,345 Hz+5.7 dB0.64
Peak6,959 Hz-3.4 dB5.57

Bright target

Set a preamp of -6.4 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 72 out of 100, up from 23.

FilterFrequencyGainQ
Low shelf105 Hz-6.4 dB0.70
High shelf10,000 Hz+1.9 dB0.70
Peak23 Hz-1.2 dB1.38
Peak225 Hz+2.7 dB0.86
Peak1,316 Hz-2.4 dB1.81
Peak3,573 Hz+6.0 dB0.95
Peak5,515 Hz+3.1 dB4.63

V-shaped target

Set a preamp of -6.5 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 68 out of 100, up from 53.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak193 Hz+4.2 dB0.71
Peak389 Hz+1.0 dB2.44
Peak1,263 Hz-2.9 dB1.72
Peak3,354 Hz+6.0 dB0.92
Peak5,456 Hz+3.3 dB4.05

Frequency Response

How the Lime Ears Anima 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 4 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.

Lime Ears AnimaHarman target
Measured frequency response of the Lime Ears Anima-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 4 measurements from the squig.link databases of aden, animagus, eliseaudio and recode. Thanks to each of them for publishing their work.

More Lime Ears headphones →