The KZ EDA Hi-Res ranks #124 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: KZ
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.
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#124 KZ EDA Hi-Res: $34.99 Discontinued eBay
Pros: A broadly balanced tuning with a preference score of 79 against the Harman target.
Cons: The rating reflects sound quality only; comfort, build and noise isolation are not part of the score. Discontinued.
Is the KZ EDA Hi-Res right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 79).
- you want sub-bass rumble that reaches down to 20 Hz.
Skip it if
- you want to buy it new: it is discontinued.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.58 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 x 10mm dynamic |
| Form Factor | In-ear |
| Harman Preference Score | 79 (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 | +0.14 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -4.1 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 Harman match with this EQ: 86 out of 100, up from 79.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.6 dB | 0.70 |
| High shelf | 10,000 Hz | -3.6 dB | 0.70 |
| Peak | 154 Hz | -1.9 dB | 0.88 |
| Peak | 3,320 Hz | +4.2 dB | 3.53 |
| Peak | 4,855 Hz | -1.8 dB | 6.00 |
Neutral target
Set a preamp of -4.1 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: 88 out of 100, up from 53.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -6.9 dB | 0.70 |
| High shelf | 10,000 Hz | -3.6 dB | 0.70 |
| Peak | 154 Hz | -2.0 dB | 0.74 |
| Peak | 3,320 Hz | +4.2 dB | 3.53 |
| Peak | 4,855 Hz | -1.8 dB | 6.00 |
Studio flat 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 Studio flat match with this EQ: 90 out of 100, up from 34.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.5 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 163 Hz | -3.8 dB | 0.79 |
| Peak | 3,020 Hz | +6.0 dB | 3.08 |
| Peak | 3,634 Hz | +1.7 dB | 6.00 |
| Peak | 4,980 Hz | -4.0 dB | 5.63 |
| Peak | 7,572 Hz | -1.9 dB | 6.00 |
Warm target
Set a preamp of -2.9 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 Warm match with this EQ: 90 out of 100, up from 75.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.9 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 25 Hz | +1.0 dB | 2.00 |
| Peak | 154 Hz | -1.7 dB | 0.94 |
| Peak | 703 Hz | +1.4 dB | 1.74 |
| Peak | 1,707 Hz | -1.7 dB | 2.99 |
| Peak | 3,367 Hz | +3.0 dB | 4.39 |
| Peak | 4,900 Hz | -2.5 dB | 6.00 |
| Peak | 8,000 Hz | -3.1 dB | 1.47 |
Bass 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 Bass match with this EQ: 88 out of 100, up from 66.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.3 dB | 0.70 |
| High shelf | 10,000 Hz | -3.6 dB | 0.70 |
| Peak | 160 Hz | -1.9 dB | 0.99 |
| Peak | 3,320 Hz | +4.2 dB | 3.54 |
| Peak | 4,856 Hz | -1.8 dB | 6.00 |
Bright 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 Bright match with this EQ: 87 out of 100, up from 43.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.0 dB | 0.70 |
| Peak | 154 Hz | -2.0 dB | 0.73 |
| Peak | 1,643 Hz | -1.6 dB | 2.79 |
| Peak | 3,606 Hz | +5.0 dB | 1.77 |
| Peak | 4,724 Hz | -1.7 dB | 6.00 |
| Peak | 6,007 Hz | +3.3 dB | 6.00 |
V-shaped 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 V-shaped match with this EQ: 86 out of 100, up from 68.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.6 dB | 0.70 |
| High shelf | 10,000 Hz | +1.2 dB | 0.70 |
| Peak | 1,519 Hz | -2.0 dB | 2.21 |
| Peak | 3,331 Hz | +3.4 dB | 4.97 |
| Peak | 5,345 Hz | +3.7 dB | 0.59 |
| Peak | 7,156 Hz | -1.6 dB | 3.99 |
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Frequency Response
How the KZ EDA Hi-Res 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 ianfann, melatonin and vortexreviews. Thanks to each of them for publishing their work.