Kinera Imperial Loki Emerald Review: Ranked #553 of 1253

Last updated: October 16, 2026

The Kinera Imperial Loki Emerald ranks #553 out of 1253 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 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.

#553 Kinera Imperial Loki Emerald: $3,099 Kinera $3,099 eBay

Pros: A broadly balanced tuning with a preference score of 72 against the Harman target.

Cons: Treble about 3 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. An uneven response, 1.9 dB standard deviation from target.

Is the Kinera Imperial Loki Emerald right for you?

Buy it if

  • you are sensitive to bright or sharp treble (treble sits 3.1 dB below target).
  • 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 17 points.

Skip it if

  • you want the best value: the higher-rated EPZ G10 costs about $3,075 less.
BackClosed
ConnectionWired
Deviation From Target1.95 dB standard deviation
Driver TypeQuadbrid (1 dynamic + 6 balanced armature + 4 electrostatic + 1 bone conduction)
Drivers1 x dynamic + 6 x balanced armature + 4 x electrostatic + 1 x bone conduction
Form FactorIn-ear
Harman Preference Score72 (median of 3 squig.link measurements, calibrated to AutoEQ)
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (+2.6 dB at 30 Hz)
Tonal Tilt-0.45 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -4.9 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 Harman match with this EQ: 89 out of 100, up from 72.

FilterFrequencyGainQ
Low shelf105 Hz-0.3 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak481 Hz+2.8 dB1.07
Peak1,557 Hz-3.7 dB3.15
Peak4,803 Hz+5.1 dB1.22

Neutral target

Set a preamp of -4.9 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 Neutral match with this EQ: 89 out of 100, up from 34.

FilterFrequencyGainQ
Low shelf105 Hz-8.8 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak481 Hz+2.9 dB1.10
Peak1,557 Hz-3.7 dB3.15
Peak4,803 Hz+5.1 dB1.22

Studio flat 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 Studio flat match with this EQ: 90 out of 100, up from 18.

FilterFrequencyGainQ
Low shelf105 Hz-11.1 dB0.70
High shelf10,000 Hz-1.1 dB0.70
Peak146 Hz-2.7 dB2.70
Peak564 Hz+2.4 dB1.62
Peak1,196 Hz-1.3 dB4.33
Peak1,525 Hz-3.7 dB3.18
Peak2,572 Hz+1.8 dB6.00
Peak3,354 Hz+5.5 dB1.50
Peak7,193 Hz+1.6 dB1.78

Warm target

Set a preamp of -3.2 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 Warm match with this EQ: 91 out of 100, up from 77.

FilterFrequencyGainQ
High shelf10,000 Hz-6.0 dB0.70
Peak481 Hz+3.1 dB0.99
Peak1,597 Hz-3.9 dB3.15
Peak4,719 Hz+3.0 dB1.60

Bass target

Set a preamp of -5.0 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: 91 out of 100, up from 75.

FilterFrequencyGainQ
Low shelf105 Hz+3.5 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak481 Hz+2.8 dB1.05
Peak1,557 Hz-3.7 dB3.15
Peak3,004 Hz+1.9 dB5.74
Peak4,804 Hz+5.1 dB1.22

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 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 24.

FilterFrequencyGainQ
Low shelf105 Hz-8.9 dB0.70
High shelf10,000 Hz-3.9 dB0.70
Peak481 Hz+2.8 dB1.10
Peak1,546 Hz-3.9 dB3.24
Peak3,240 Hz+2.4 dB3.16
Peak5,345 Hz+6.0 dB0.96

V-shaped target

Set a preamp of -5.9 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 V-shaped match with this EQ: 82 out of 100, up from 70.

FilterFrequencyGainQ
Low shelf105 Hz+4.1 dB0.70
High shelf10,000 Hz-2.3 dB0.70
Peak373 Hz+3.2 dB0.69
Peak1,159 Hz-2.0 dB3.32
Peak1,498 Hz-4.0 dB3.27
Peak3,182 Hz+2.7 dB3.45
Peak5,345 Hz+6.0 dB0.87
Peak6,747 Hz-3.1 dB5.73

Frequency Response

How the Kinera Imperial Loki Emerald 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 Imperial Loki EmeraldHarman target
Measured frequency response of the Kinera Imperial Loki Emerald-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 3 measurements from the squig.link databases of animagus, dl and eliseaudio. Thanks to each of them for publishing their work.

More Kinera headphones →