The Agasound Sublimation Burnout ranks #371 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Agasound
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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#371 Agasound Sublimation Burnout: $179 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. An uneven response, 2.0 dB standard deviation from target.
Is the Agasound Sublimation Burnout right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 75).
- you are sensitive to bright or sharp treble (treble sits 2.1 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 $155 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 2.04 dB standard deviation |
| Driver Type | Hybrid |
| Drivers | 1 x dynamic, 2 x balanced armature |
| Form Factor | In-ear |
| Harman Preference Score | 75 (median of 3 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-1.8 dB at 30 Hz) |
| Tonal Tilt | -0.17 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 Harman match with this EQ: 87 out of 100, up from 75.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.3 dB | 0.70 |
| High shelf | 10,000 Hz | -3.6 dB | 0.70 |
| Peak | 174 Hz | -3.0 dB | 0.77 |
| Peak | 711 Hz | +1.5 dB | 2.08 |
| Peak | 2,156 Hz | -1.7 dB | 2.44 |
| Peak | 5,815 Hz | +6.0 dB | 3.59 |
Neutral 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 Neutral match with this EQ: 88 out of 100, up from 46.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.2 dB | 0.70 |
| High shelf | 10,000 Hz | -3.6 dB | 0.70 |
| Peak | 174 Hz | -3.0 dB | 0.67 |
| Peak | 703 Hz | +1.6 dB | 1.85 |
| Peak | 2,168 Hz | -1.7 dB | 2.54 |
| Peak | 5,815 Hz | +6.0 dB | 3.59 |
Studio flat target
Set a preamp of -4.3 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 28.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.8 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 164 Hz | -4.8 dB | 0.73 |
| Peak | 738 Hz | +1.4 dB | 2.76 |
| Peak | 3,107 Hz | +2.4 dB | 4.42 |
| Peak | 4,482 Hz | -1.1 dB | 6.00 |
| Peak | 5,886 Hz | +4.2 dB | 3.62 |
Warm target
Set a preamp of -4.0 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 Warm match with this EQ: 90 out of 100, up from 77.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.5 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 174 Hz | -2.7 dB | 0.81 |
| Peak | 717 Hz | +1.8 dB | 1.89 |
| Peak | 2,341 Hz | -2.7 dB | 1.73 |
| Peak | 6,034 Hz | +4.6 dB | 5.27 |
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 | +4.9 dB | 0.70 |
| High shelf | 10,000 Hz | -3.7 dB | 0.70 |
| Peak | 174 Hz | -2.9 dB | 0.85 |
| Peak | 2,148 Hz | -1.7 dB | 2.38 |
| Peak | 5,817 Hz | +6.0 dB | 3.58 |
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: 82 out of 100, up from 33.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.3 dB | 0.70 |
| Peak | 78 Hz | -1.1 dB | 2.10 |
| Peak | 174 Hz | -3.0 dB | 0.68 |
| Peak | 703 Hz | +1.5 dB | 1.90 |
| Peak | 1,375 Hz | -0.8 dB | 3.13 |
| Peak | 2,066 Hz | -1.6 dB | 2.74 |
| Peak | 3,454 Hz | +1.5 dB | 6.00 |
| Peak | 5,375 Hz | +6.0 dB | 2.23 |
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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 77 out of 100, up from 63.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.4 dB | 0.70 |
| High shelf | 10,000 Hz | +1.2 dB | 0.70 |
| Peak | 174 Hz | -1.6 dB | 0.98 |
| Peak | 5,227 Hz | +6.0 dB | 1.97 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Agasound Sublimation Burnout 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 aftersound, elrics and soundignity. Thanks to each of them for publishing their work.