HarmonicDyne Devil Review: Ranked #750 of 1253

Last updated: October 16, 2026

The HarmonicDyne Devil ranks #750 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: HarmonicDyne

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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HarmonicDyne Devil - ranked #750 of 1253 In-Ear Headphones · Editor's rating 3.6/5

#750 HarmonicDyne Devil: $199 Discontinued eBay

Pros: A broadly balanced tuning with a preference score of 69 against the Harman target.

Cons: An uneven response, 2.3 dB standard deviation from target. Discontinued.

Is the HarmonicDyne Devil right for you?

Buy it if

  • you are happy to use EQ: our preset lifts its Harman match by about 23 points.

Skip it if

  • you want more bass (about 3 dB below target).
  • you want to buy it new: it is discontinued.
BackClosed
ConnectionWired (3.5mm / 4.4mm)
Deviation From Target2.33 dB standard deviation
Driver TypeDynamic
Drivers2 Dynamic (10mm dual CNC coaxial)
Form FactorIn-ear
Harman Preference Score69 (median of 4 squig.link measurements, calibrated to AutoEQ)
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-4.7 dB at 30 Hz)
Tonal Tilt+0.70 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -5.6 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 Harman match with this EQ: 92 out of 100, up from 69.

FilterFrequencyGainQ
Low shelf105 Hz+4.0 dB0.70
High shelf10,000 Hz+1.9 dB0.70
Peak24 Hz+1.6 dB1.73
Peak174 Hz-2.3 dB0.81
Peak728 Hz+1.3 dB1.93
Peak2,110 Hz-3.4 dB3.53
Peak3,093 Hz+1.7 dB5.12
Peak3,545 Hz+4.7 dB5.63
Peak5,568 Hz-1.4 dB2.49
Peak7,579 Hz-1.8 dB6.00

Neutral 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 Neutral match with this EQ: 93 out of 100, up from 66.

FilterFrequencyGainQ
Low shelf105 Hz-4.5 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak76 Hz-1.1 dB2.26
Peak174 Hz-2.4 dB0.71
Peak705 Hz+1.4 dB1.68
Peak2,110 Hz-3.4 dB3.54
Peak3,094 Hz+1.6 dB4.96
Peak3,545 Hz+4.7 dB5.63
Peak5,568 Hz-1.4 dB2.48
Peak7,580 Hz-1.8 dB6.00

Studio flat 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 Studio flat match with this EQ: 93 out of 100, up from 48.

FilterFrequencyGainQ
Low shelf105 Hz-7.1 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak168 Hz-4.2 dB0.75
Peak752 Hz+1.2 dB2.30
Peak2,034 Hz-2.0 dB5.34
Peak2,733 Hz+1.3 dB6.00
Peak3,305 Hz+5.9 dB4.51
Peak3,869 Hz+2.0 dB6.00
Peak5,296 Hz-3.4 dB3.57
Peak7,227 Hz-1.2 dB4.32

Warm target

Set a preamp of -5.8 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: 94 out of 100, up from 62.

FilterFrequencyGainQ
Low shelf105 Hz+4.3 dB0.70
High shelf10,000 Hz+1.3 dB0.70
Peak24 Hz+1.5 dB1.88
Peak79 Hz-1.1 dB2.04
Peak174 Hz-2.1 dB0.85
Peak721 Hz+1.6 dB1.85
Peak2,110 Hz-4.1 dB4.13
Peak3,529 Hz+3.9 dB5.05
Peak4,962 Hz-2.1 dB6.00
Peak7,651 Hz-4.4 dB1.14

Bass 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 86 out of 100, up from 52.

FilterFrequencyGainQ
Low shelf105 Hz+5.9 dB0.70
High shelf10,000 Hz+1.9 dB0.70
Peak59 Hz+0.9 dB2.77
Peak204 Hz-2.2 dB1.34
Peak751 Hz+1.2 dB2.23
Peak2,110 Hz-3.4 dB3.54
Peak3,093 Hz+1.7 dB5.29
Peak3,545 Hz+4.7 dB5.64
Peak5,568 Hz-1.4 dB2.49
Peak7,578 Hz-1.8 dB6.00

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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 89 out of 100, up from 56.

FilterFrequencyGainQ
Low shelf105 Hz-4.5 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak174 Hz-2.4 dB0.69
Peak2,106 Hz-3.5 dB3.69
Peak3,730 Hz+6.0 dB3.12
Peak6,532 Hz+1.8 dB2.14

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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 82 out of 100, up from 55.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak70 Hz+1.0 dB2.55
Peak2,091 Hz-3.1 dB3.66
Peak3,146 Hz+1.5 dB6.00
Peak3,763 Hz+6.0 dB2.45
Peak5,968 Hz+2.7 dB4.87

Frequency Response

How the HarmonicDyne Devil 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.

HarmonicDyne DevilHarman target
Measured frequency response of the HarmonicDyne Devil-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 4 measurements from the squig.link databases of hbb, kazi, nymz and pw. Thanks to each of them for publishing their work.

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