The ARTTI R2 ranks #205 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: ARTTI
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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#205 ARTTI R2: $59 eBay
Pros: A broadly balanced tuning with a preference score of 78 against the Harman target.
Cons: The rating reflects sound quality only; comfort, build and noise isolation are not part of the score.
Is the ARTTI R2 right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 78).
- your taste runs warm: it scores 88 for that sound.
- 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 $35 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.46 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 x 10mm beryllium-plated dynamic |
| Form Factor | In-ear |
| Harman Preference Score | 78 (median of 5 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-0.0 dB at 30 Hz) |
| Tonal Tilt | -0.54 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 93 out of 100, up from 78.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -0.4 dB | 0.70 |
| Peak | 192 Hz | -2.2 dB | 0.78 |
| Peak | 1,405 Hz | -1.1 dB | 3.72 |
| Peak | 3,068 Hz | +3.1 dB | 1.28 |
| Peak | 6,416 Hz | +1.9 dB | 3.90 |
Neutral 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 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 94 out of 100, up from 40.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.9 dB | 0.70 |
| Peak | 170 Hz | -2.1 dB | 0.59 |
| Peak | 1,412 Hz | -1.1 dB | 3.91 |
| Peak | 3,069 Hz | +3.1 dB | 1.28 |
| Peak | 6,417 Hz | +1.9 dB | 3.89 |
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 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 91 out of 100, up from 19.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.4 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 186 Hz | -3.9 dB | 0.68 |
| Peak | 2,722 Hz | +6.0 dB | 2.12 |
| Peak | 4,822 Hz | -1.4 dB | 6.00 |
| Peak | 7,187 Hz | +1.6 dB | 4.50 |
Warm target
Set a preamp of -2.2 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 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 94 out of 100, up from 88.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| High shelf | 10,000 Hz | -3.8 dB | 0.70 |
| Peak | 177 Hz | -2.0 dB | 0.85 |
| Peak | 2,676 Hz | +2.2 dB | 3.00 |
| Peak | 4,750 Hz | -1.3 dB | 5.51 |
Bass target
Set a preamp of -3.5 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 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 95 out of 100, up from 78.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.4 dB | 0.70 |
| Peak | 198 Hz | -2.2 dB | 0.84 |
| Peak | 1,403 Hz | -1.1 dB | 3.67 |
| Peak | 3,068 Hz | +3.1 dB | 1.28 |
| Peak | 6,416 Hz | +1.9 dB | 3.90 |
Bright 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 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 90 out of 100, up from 28.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.0 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 176 Hz | -2.1 dB | 0.58 |
| Peak | 1,407 Hz | -1.4 dB | 3.18 |
| Peak | 2,790 Hz | +1.7 dB | 3.14 |
| Peak | 5,345 Hz | +3.9 dB | 0.56 |
| Peak | 7,098 Hz | -2.2 dB | 6.00 |
V-shaped 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 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 87 out of 100, up from 70.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.0 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 186 Hz | -0.9 dB | 1.21 |
| Peak | 1,283 Hz | -1.7 dB | 2.20 |
| Peak | 2,784 Hz | +2.0 dB | 3.22 |
| Peak | 5,345 Hz | +4.4 dB | 0.53 |
| Peak | 7,104 Hz | -2.8 dB | 5.70 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the ARTTI R2 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 5 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 5 measurements from the squig.link databases of boizoff, mmagtech, riz, soundcheck39 and tonedeafmonk. Thanks to each of them for publishing their work.