Kinera Idun 2.0 Review: Ranked #864 of 1369

Last updated: October 17, 2026

The Kinera Idun 2.0 ranks #864 out of 1369 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Kinera

Prices on this page were last checked October 17, 2026 at 6:04 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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#864 Kinera Idun 2.0: 69.00 Kinera eBay

Pros: A broadly balanced tuning with a preference score of 67 against the Harman target.

Cons: Treble about 4 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. An uneven response, 2.8 dB standard deviation from target.

Is the Kinera Idun 2.0 right for you?

Buy it if

  • you are sensitive to bright or sharp treble (treble sits 3.5 dB below target).
  • you are happy to use EQ: our preset lifts its Harman match by about 21 points.

Skip it if

  • you want more bass (about 3 dB below target).
  • you want the best value: the higher-rated EPZ G10 costs about $45 less.
BackClosed
ConnectionWired
Deviation From Target2.80 dB standard deviation
Driver TypeHybrid
Drivers1 dynamic driver + 2 balanced armatures (7mm titanium dome DD + Knowles RAF-32873 BA + custom BTC-30095 BA)
Form FactorIn-ear
Frequency Response20Hz - 20kHz
Harman Preference Score67 (median of 3 squig.link measurements, calibrated to AutoEQ)
Impedance32 ohms
Sensitivity112 dB
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-4.3 dB at 30 Hz)
Tonal Tilt+0.02 (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 the median of 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 88 out of 100, up from 67.

FilterFrequencyGainQ
Low shelf105 Hz+4.0 dB0.70
Peak158 Hz-2.5 dB1.17
Peak519 Hz+2.4 dB2.75
Peak910 Hz-1.5 dB5.43
Peak1,136 Hz-3.8 dB4.00
Peak2,182 Hz+3.9 dB3.65
Peak4,708 Hz+5.2 dB0.88
Peak7,542 Hz-2.7 dB3.44

Neutral 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 90 out of 100, up from 46.

FilterFrequencyGainQ
Low shelf105 Hz-4.5 dB0.70
Peak144 Hz-2.5 dB0.96
Peak518 Hz+2.5 dB2.69
Peak907 Hz-1.4 dB5.62
Peak1,141 Hz-3.9 dB3.70
Peak2,146 Hz+3.4 dB4.27
Peak4,113 Hz+5.2 dB0.89
Peak5,136 Hz+1.7 dB6.00
Peak7,572 Hz-2.1 dB6.00

Studio flat 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 28.

FilterFrequencyGainQ
Low shelf105 Hz-7.1 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak167 Hz-4.5 dB0.94
Peak537 Hz+2.2 dB2.84
Peak901 Hz-1.3 dB5.92
Peak1,175 Hz-4.3 dB2.78
Peak2,443 Hz+6.0 dB1.26
Peak4,849 Hz+5.2 dB3.36

Warm 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 Warm match with this EQ: 91 out of 100, up from 67.

FilterFrequencyGainQ
Low shelf105 Hz+4.3 dB0.70
High shelf10,000 Hz-3.4 dB0.70
Peak159 Hz-2.2 dB0.99
Peak418 Hz+1.4 dB5.25
Peak543 Hz+2.7 dB3.12
Peak1,169 Hz-3.5 dB3.74
Peak1,859 Hz+1.3 dB6.00
Peak2,244 Hz+4.4 dB3.89
Peak4,696 Hz+6.0 dB2.56
Peak7,608 Hz-2.8 dB4.54

Bass 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 Bass match with this EQ: 83 out of 100, up from 54.

FilterFrequencyGainQ
Low shelf105 Hz+5.9 dB0.70
Peak190 Hz-2.5 dB1.93
Peak522 Hz+2.4 dB2.83
Peak910 Hz-1.5 dB5.33
Peak1,137 Hz-3.8 dB4.01
Peak2,182 Hz+3.9 dB3.65
Peak4,708 Hz+5.2 dB0.88
Peak7,542 Hz-2.7 dB3.45

Bright 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 82 out of 100, up from 35.

FilterFrequencyGainQ
Low shelf105 Hz-4.5 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak144 Hz-2.6 dB0.94
Peak518 Hz+2.4 dB2.70
Peak1,143 Hz-4.1 dB3.49
Peak2,162 Hz+3.2 dB4.20
Peak4,087 Hz+6.0 dB0.85

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: 79 out of 100, up from 53.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak75 Hz+1.3 dB2.65
Peak490 Hz+2.7 dB2.57
Peak897 Hz-1.7 dB5.26
Peak1,138 Hz-4.6 dB3.47
Peak2,178 Hz+3.3 dB4.03
Peak3,912 Hz+6.0 dB0.80
Peak5,558 Hz+1.6 dB6.00

Frequency Response

How the Kinera Idun 2.0 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.

Kinera Idun 2.0Harman target
Measured frequency response of the Kinera Idun 2.0-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 3 measurements from the squig.link databases of awsmdanny, precog and soundcheck39. Thanks to each of them for publishing their work.

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