The Moondrop Droplet ranks #902 out of 1369 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Moondrop
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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#902 Moondrop Droplet: 9.99 Moondrop eBay
Pros: A broadly balanced tuning with a preference score of 66 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, 2.2 dB standard deviation from target.
Is the Moondrop Droplet right for you?
Buy it if
- you are sensitive to bright or sharp treble (treble sits 2.8 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 25 points.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 2.24 dB standard deviation |
| Driver Type | Balanced Armature |
| Drivers | 1 full-frequency balanced armature driver with integrated DSP |
| Form Factor | In-ear |
| Frequency Response | 20Hz - 20kHz |
| Harman Preference Score | 66 (median of 8 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+1.3 dB at 30 Hz) |
| Tonal Tilt | -1.03 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -5.2 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 91 out of 100, up from 66.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -2.4 dB | 0.70 |
| High shelf | 10,000 Hz | +1.7 dB | 0.70 |
| Peak | 132 Hz | -2.2 dB | 0.57 |
| Peak | 3,154 Hz | -1.5 dB | 6.00 |
| Peak | 5,060 Hz | +5.1 dB | 1.83 |
Neutral target
Set a preamp of -5.2 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 93 out of 100, up from 25.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.9 dB | 0.70 |
| High shelf | 10,000 Hz | +1.7 dB | 0.70 |
| Peak | 117 Hz | -2.3 dB | 0.49 |
| Peak | 3,154 Hz | -1.5 dB | 6.00 |
| Peak | 5,059 Hz | +5.1 dB | 1.82 |
Studio flat target
Set a preamp of -3.4 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 6.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -12.0 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 141 Hz | -4.3 dB | 0.58 |
| Peak | 409 Hz | -1.3 dB | 2.32 |
| Peak | 2,416 Hz | +1.5 dB | 6.00 |
| Peak | 3,230 Hz | -1.7 dB | 6.00 |
| Peak | 4,192 Hz | +3.3 dB | 0.66 |
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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 92 out of 100, up from 78.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -2.2 dB | 0.70 |
| High shelf | 10,000 Hz | -1.0 dB | 0.70 |
| Peak | 132 Hz | -2.0 dB | 0.62 |
| Peak | 3,117 Hz | -2.4 dB | 6.00 |
| Peak | 3,938 Hz | +1.4 dB | 6.00 |
| Peak | 5,190 Hz | +3.1 dB | 2.62 |
Bass target
Set a preamp of -5.2 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 92 out of 100, up from 77.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.4 dB | 0.70 |
| High shelf | 10,000 Hz | +1.7 dB | 0.70 |
| Peak | 28 Hz | +1.1 dB | 1.12 |
| Peak | 141 Hz | -2.1 dB | 0.59 |
| Peak | 3,154 Hz | -1.5 dB | 6.00 |
| Peak | 5,060 Hz | +5.1 dB | 1.83 |
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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 83 out of 100, up from 13.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.0 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 117 Hz | -2.3 dB | 0.48 |
| Peak | 4,811 Hz | +6.0 dB | 1.51 |
V-shaped 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 77 out of 100, up from 64.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.1 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 4,604 Hz | +6.0 dB | 1.36 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Moondrop Droplet 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 8 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 8 measurements from the squig.link databases of aftersound, arn, boizoff, fahryst, ianfann, pw, timmyv and vsg. Thanks to each of them for publishing their work.
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