The Kefine Delci AE ranks #464 out of 1061 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Kefine
Prices on this page were last checked October 15, 2026 at 5:41 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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#464 Kefine Delci AE: $85.49 Amazon $85.49 eBay
Pros: A special edition of the Kefine Delci with a DLC dynamic driver and interchangeable tuning nozzles. Measurements show treble right on the Harman target and full sub-bass to 20 Hz (score 72 across nine measurements).
Cons: A 1.94 dB spread from the target still leaves some peaks and dips.
Is the Kefine Delci AE right for you?
Buy it if
- 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 20 points.
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $62 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.94 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 x 10mm dynamic (DLC) |
| Form Factor | In-ear |
| Harman Preference Score | 72 (median of 9 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+1.1 dB at 30 Hz) |
| Tonal Tilt | -0.66 (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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 92 out of 100, up from 72.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.7 dB | 0.70 |
| High shelf | 10,000 Hz | -0.7 dB | 0.70 |
| Peak | 181 Hz | -3.2 dB | 0.78 |
| Peak | 3,508 Hz | +4.1 dB | 1.86 |
| Peak | 7,533 Hz | -3.1 dB | 5.56 |
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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 93 out of 100, up from 33.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.3 dB | 0.70 |
| High shelf | 10,000 Hz | -0.7 dB | 0.70 |
| Peak | 174 Hz | -3.1 dB | 0.66 |
| Peak | 3,508 Hz | +4.1 dB | 1.86 |
| Peak | 7,532 Hz | -3.1 dB | 5.59 |
Studio flat 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 13.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.9 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 172 Hz | -5.1 dB | 0.65 |
| Peak | 2,256 Hz | +1.1 dB | 6.00 |
| Peak | 2,952 Hz | +5.7 dB | 1.93 |
| Peak | 3,939 Hz | +1.6 dB | 6.00 |
| Peak | 5,364 Hz | -1.1 dB | 6.00 |
| Peak | 7,203 Hz | -2.5 dB | 2.45 |
Warm target
Set a preamp of -2.4 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 93 out of 100, up from 79.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.5 dB | 0.70 |
| High shelf | 10,000 Hz | -4.2 dB | 0.70 |
| Peak | 176 Hz | -3.0 dB | 0.86 |
| Peak | 3,460 Hz | +2.5 dB | 2.46 |
| Peak | 5,463 Hz | -1.4 dB | 6.00 |
| Peak | 7,465 Hz | -4.7 dB | 3.82 |
Bass 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 93 out of 100, up from 78.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.1 dB | 0.70 |
| High shelf | 10,000 Hz | -0.7 dB | 0.70 |
| Peak | 186 Hz | -3.2 dB | 0.82 |
| Peak | 3,509 Hz | +4.1 dB | 1.86 |
| Peak | 7,533 Hz | -3.1 dB | 5.55 |
Bright 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 91 out of 100, up from 23.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.3 dB | 0.70 |
| High shelf | 10,000 Hz | +1.8 dB | 0.70 |
| Peak | 174 Hz | -3.1 dB | 0.63 |
| Peak | 4,005 Hz | +5.8 dB | 1.28 |
V-shaped 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 90 out of 100, up from 72.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.7 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 171 Hz | -1.9 dB | 0.88 |
| Peak | 4,018 Hz | +6.0 dB | 1.11 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Kefine Delci AE 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 9 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 9 measurements from the squig.link databases of audioamigo, gadgetrytech, practiphile, regancipher, sl0the, soundcheck39, superreview, tonedeafmonk and vortexreviews. Thanks to each of them for publishing their work.