The SWEEAR SR11 ranks #367 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
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#367 SWEEAR SR11: $2,599 eBay
Pros: A broadly balanced tuning with a preference score of 75 against the Harman target.
Cons: Treble about 2 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones.
Is the SWEEAR SR11 right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 75).
- your taste runs warm: it scores 80 for that sound.
- you are sensitive to bright or sharp treble (treble sits 2.3 dB below target).
- you want sub-bass rumble that reaches down to 20 Hz.
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $2,575 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.71 dB standard deviation |
| Driver Type | Hybrid |
| Drivers | 1 x dynamic, 10 x balanced armature |
| Form Factor | In-ear |
| Harman Preference Score | 75 (median of 4 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-0.0 dB at 30 Hz) |
| Tonal Tilt | -0.32 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -4.7 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 88 out of 100, up from 75.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +0.6 dB | 0.70 |
| High shelf | 10,000 Hz | -1.8 dB | 0.70 |
| Peak | 174 Hz | -2.3 dB | 1.34 |
| Peak | 624 Hz | +2.3 dB | 1.94 |
| Peak | 1,453 Hz | -2.6 dB | 3.01 |
| Peak | 4,009 Hz | +4.7 dB | 1.80 |
Neutral target
Set a preamp of -4.7 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 90 out of 100, up from 41.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.9 dB | 0.70 |
| High shelf | 10,000 Hz | -1.8 dB | 0.70 |
| Peak | 174 Hz | -2.3 dB | 1.16 |
| Peak | 617 Hz | +2.3 dB | 1.83 |
| Peak | 1,453 Hz | -2.6 dB | 3.02 |
| Peak | 4,009 Hz | +4.7 dB | 1.79 |
Studio flat target
Set a preamp of -5.7 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 89 out of 100, up from 23.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.5 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 164 Hz | -4.1 dB | 0.97 |
| Peak | 646 Hz | +2.2 dB | 2.41 |
| Peak | 1,153 Hz | -1.0 dB | 5.69 |
| Peak | 1,409 Hz | -2.5 dB | 3.60 |
| Peak | 2,502 Hz | +1.4 dB | 6.00 |
| Peak | 3,293 Hz | +5.6 dB | 1.94 |
Warm target
Set a preamp of -3.0 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 91 out of 100, up from 80.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +0.9 dB | 0.70 |
| High shelf | 10,000 Hz | -5.2 dB | 0.70 |
| Peak | 174 Hz | -2.0 dB | 1.09 |
| Peak | 648 Hz | +2.6 dB | 2.33 |
| Peak | 1,516 Hz | -2.7 dB | 2.91 |
| Peak | 3,812 Hz | +3.1 dB | 3.31 |
| Peak | 7,502 Hz | -2.2 dB | 6.00 |
Bass target
Set a preamp of -4.6 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 90 out of 100, up from 72.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.4 dB | 0.70 |
| High shelf | 10,000 Hz | -1.8 dB | 0.70 |
| Peak | 174 Hz | -2.3 dB | 1.42 |
| Peak | 626 Hz | +2.3 dB | 1.97 |
| Peak | 1,453 Hz | -2.6 dB | 3.01 |
| Peak | 4,009 Hz | +4.6 dB | 1.80 |
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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 76 out of 100, up from 30.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.9 dB | 0.70 |
| High shelf | 10,000 Hz | +0.7 dB | 0.70 |
| Peak | 4,321 Hz | +6.0 dB | 1.30 |
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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 84 out of 100, up from 68.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.1 dB | 0.70 |
| High shelf | 10,000 Hz | +1.5 dB | 0.70 |
| Peak | 174 Hz | -0.9 dB | 1.50 |
| Peak | 565 Hz | +2.3 dB | 1.82 |
| Peak | 1,126 Hz | -1.3 dB | 6.00 |
| Peak | 1,424 Hz | -3.1 dB | 2.74 |
| Peak | 4,056 Hz | +6.0 dB | 1.20 |
| Peak | 5,734 Hz | +2.8 dB | 6.00 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the SWEEAR SR11 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 4 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 4 measurements from the squig.link databases of dchpgall, elrics, hbb and jaytiss. Thanks to each of them for publishing their work.