The Effect Audio Perseus ranks #498 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Effect Audio
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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#498 Effect Audio Perseus: $999.00 Effect Audio $999.00 eBay
Pros: A broadly balanced tuning with a preference score of 73 against the Harman target.
Cons: Treble about 4 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. An uneven response, 1.9 dB standard deviation from target.
Is the Effect Audio Perseus right for you?
Buy it if
- your taste runs warm: it scores 86 for that sound.
- you are sensitive to bright or sharp treble (treble sits 3.6 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 12 points.
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $975 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.86 dB standard deviation |
| Driver Type | Hybrid (2 dynamic + 2 balanced armature + 4 planar magnetic + 1 bone conduction) |
| Drivers | 2 x 8mm dynamic + 2 x balanced armature + 4 x planar magnetic + 1 x bone conduction |
| Form Factor | In-ear |
| Harman Preference Score | 73 (median of 4 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+0.8 dB at 30 Hz) |
| Tonal Tilt | -0.76 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 86 out of 100, up from 73.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -0.6 dB | 0.70 |
| High shelf | 10,000 Hz | -2.4 dB | 0.70 |
| Peak | 103 Hz | -1.2 dB | 1.98 |
| Peak | 287 Hz | +0.9 dB | 2.01 |
| Peak | 1,364 Hz | -1.1 dB | 4.50 |
| Peak | 5,632 Hz | +3.5 dB | 0.88 |
Neutral 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 87 out of 100, up from 34.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.2 dB | 0.70 |
| High shelf | 10,000 Hz | -2.4 dB | 0.70 |
| Peak | 93 Hz | -1.4 dB | 1.41 |
| Peak | 283 Hz | +0.9 dB | 1.88 |
| Peak | 1,365 Hz | -1.1 dB | 4.55 |
| Peak | 5,630 Hz | +3.5 dB | 0.88 |
Studio flat 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 85 out of 100, up from 14.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.5 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 127 Hz | -2.4 dB | 0.75 |
| Peak | 1,358 Hz | -1.4 dB | 2.95 |
| Peak | 2,634 Hz | +2.1 dB | 3.60 |
| Peak | 5,345 Hz | +2.6 dB | 0.40 |
Warm target
Set a preamp of -2.8 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: 89 out of 100, up from 86.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -0.4 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 6,670 Hz | +3.5 dB | 2.00 |
Bass 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 86 out of 100, up from 80.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.1 dB | 0.70 |
| High shelf | 10,000 Hz | -2.4 dB | 0.70 |
| Peak | 5,634 Hz | +3.5 dB | 0.89 |
Bright target
Set a preamp of -5.5 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 21.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.2 dB | 0.70 |
| High shelf | 10,000 Hz | +0.8 dB | 0.70 |
| Peak | 5,016 Hz | +5.4 dB | 1.16 |
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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 74 out of 100, up from 64.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.8 dB | 0.70 |
| High shelf | 10,000 Hz | +1.5 dB | 0.70 |
| Peak | 267 Hz | +2.1 dB | 1.38 |
| Peak | 4,708 Hz | +5.9 dB | 1.14 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Effect Audio Perseus 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 bloomaudio, ducbloke, precog and superreview. Thanks to each of them for publishing their work.