The iBasso Jr. Cookie Ti ranks #614 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: iBasso
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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#614 iBasso Jr. Cookie Ti: $149 Audiophonics $149 eBay
Pros: A broadly balanced tuning with a preference score of 71 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, 2.2 dB standard deviation from target.
Is the iBasso Jr. Cookie Ti right for you?
Buy it if
- your taste runs warm: it scores 82 for that sound.
- you are sensitive to bright or sharp treble (treble sits 3.9 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 18 points.
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $125 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 2.16 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 x 10mm dynamic |
| Form Factor | In-ear |
| Harman Preference Score | 71 (median of 3 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-2.5 dB at 30 Hz) |
| Tonal Tilt | -0.43 (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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 89 out of 100, up from 71.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.8 dB | 0.70 |
| Peak | 174 Hz | -2.7 dB | 0.75 |
| Peak | 3,067 Hz | +1.8 dB | 5.43 |
| Peak | 5,345 Hz | +4.3 dB | 0.92 |
Neutral 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 Neutral match with this EQ: 91 out of 100, up from 42.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -6.8 dB | 0.70 |
| Peak | 164 Hz | -2.8 dB | 0.67 |
| Peak | 664 Hz | +0.9 dB | 1.75 |
| Peak | 1,606 Hz | -1.2 dB | 3.42 |
| Peak | 3,066 Hz | +1.8 dB | 5.41 |
| Peak | 5,345 Hz | +4.3 dB | 0.92 |
| Peak | 6,932 Hz | -1.4 dB | 6.00 |
Studio flat target
Set a preamp of -5.0 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 Studio flat match with this EQ: 88 out of 100, up from 22.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.4 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 170 Hz | -4.6 dB | 0.71 |
| Peak | 1,582 Hz | -1.4 dB | 3.18 |
| Peak | 2,611 Hz | +1.3 dB | 6.00 |
| Peak | 3,312 Hz | +4.9 dB | 1.19 |
| Peak | 4,178 Hz | -1.7 dB | 5.46 |
| Peak | 5,885 Hz | +3.2 dB | 6.00 |
Warm target
Set a preamp of -3.2 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 95 out of 100, up from 82.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.0 dB | 0.70 |
| High shelf | 10,000 Hz | -3.8 dB | 0.70 |
| Peak | 23 Hz | +1.2 dB | 1.44 |
| Peak | 164 Hz | -2.6 dB | 0.81 |
| Peak | 707 Hz | +1.1 dB | 1.87 |
| Peak | 1,676 Hz | -1.4 dB | 3.38 |
| Peak | 3,109 Hz | +1.6 dB | 6.00 |
| Peak | 6,037 Hz | +3.2 dB | 1.23 |
Bass target
Set a preamp of -5.3 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 Bass match with this EQ: 91 out of 100, up from 67.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.3 dB | 0.70 |
| Peak | 174 Hz | -2.7 dB | 0.85 |
| Peak | 3,068 Hz | +1.8 dB | 5.49 |
| Peak | 5,345 Hz | +4.3 dB | 0.92 |
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: 79 out of 100, up from 28.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -6.8 dB | 0.70 |
| High shelf | 10,000 Hz | +1.9 dB | 0.70 |
| Peak | 164 Hz | -2.8 dB | 0.65 |
| Peak | 4,521 Hz | +6.0 dB | 1.16 |
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: 74 out of 100, up from 60.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.6 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 4,339 Hz | +6.0 dB | 1.06 |
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Frequency Response
How the iBasso Jr. Cookie Ti 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 aden, elrics and tonedeafmonk. Thanks to each of them for publishing their work.