The Elysian Acoustic Labs Diva 2023 ranks #227 out of 1118 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Elysian
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.
As an eBay Partner, we may be compensated if you make a purchase.
#227 Elysian Acoustic Labs Diva 2023: $1,599 Discontinued eBay
Pros: A broadly balanced tuning with a preference score of 77 against the Harman target.
Cons: Discontinued, so it is mainly found used. Treble about 4 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones.
Is the Elysian Acoustic Labs Diva 2023 right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 77).
- your taste runs warm: it scores 82 for that sound.
- you are sensitive to bright or sharp treble (treble sits 3.8 dB below target).
Skip it if
- you want to buy it new: it is discontinued.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.73 dB standard deviation |
| Driver Type | Balanced Armature |
| Drivers | 6 x balanced armature |
| Form Factor | In-ear |
| Harman Preference Score | 77 (median of 6 squig.link measurements, calibrated to AutoEQ) |
| Impedance | 4 ohms |
| Sensitivity | 100 dB |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-1.7 dB at 30 Hz) |
| Tonal Tilt | -0.15 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -4.4 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 88 out of 100, up from 77.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.3 dB | 0.70 |
| High shelf | 10,000 Hz | -2.6 dB | 0.70 |
| Peak | 1,354 Hz | -1.8 dB | 3.72 |
| Peak | 5,345 Hz | +4.4 dB | 0.82 |
Neutral target
Set a preamp of -4.4 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 89 out of 100, up from 50.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -6.2 dB | 0.70 |
| High shelf | 10,000 Hz | -2.6 dB | 0.70 |
| Peak | 1,354 Hz | -1.8 dB | 3.73 |
| Peak | 5,345 Hz | +4.4 dB | 0.82 |
Studio flat 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 88 out of 100, up from 31.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.8 dB | 0.70 |
| High shelf | 10,000 Hz | +1.1 dB | 0.70 |
| Peak | 213 Hz | -2.0 dB | 1.16 |
| Peak | 1,340 Hz | -2.1 dB | 2.33 |
| Peak | 2,654 Hz | +2.8 dB | 3.68 |
| Peak | 5,345 Hz | +3.7 dB | 0.44 |
| Peak | 7,244 Hz | -1.9 dB | 4.95 |
Warm 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 93 out of 100, up from 82.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.6 dB | 0.70 |
| High shelf | 10,000 Hz | -5.8 dB | 0.70 |
| Peak | 1,405 Hz | -1.7 dB | 4.13 |
| Peak | 3,247 Hz | +2.0 dB | 4.14 |
| Peak | 5,861 Hz | +5.2 dB | 2.80 |
Bass 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 90 out of 100, up from 66.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.9 dB | 0.70 |
| High shelf | 10,000 Hz | -2.6 dB | 0.70 |
| Peak | 1,354 Hz | -1.8 dB | 3.72 |
| Peak | 5,345 Hz | +4.4 dB | 0.82 |
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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 78 out of 100, up from 37.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -6.2 dB | 0.70 |
| Peak | 4,504 Hz | +5.8 dB | 1.03 |
V-shaped target
Set a preamp of -6.4 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 77 out of 100, up from 61.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +6.0 dB | 0.70 |
| High shelf | 10,000 Hz | +1.1 dB | 0.70 |
| Peak | 124 Hz | +2.0 dB | 0.67 |
| Peak | 1,302 Hz | -2.3 dB | 3.15 |
| Peak | 4,419 Hz | +6.0 dB | 0.97 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Elysian Acoustic Labs Diva 2023 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 6 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 6 measurements from the squig.link databases of animagus, jaytiss, lown-fi, recode, superreview and tgx78. Thanks to each of them for publishing their work.