The Samsung Galaxy Buds FE ranks #807 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Samsung
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.

#807 Samsung Galaxy Buds FE: $99.99 Discontinued eBay
Pros: A broadly balanced tuning with a preference score of 68 against the Harman target.
Cons: Treble about 3 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. Discontinued.
Is the Samsung Galaxy Buds FE right for you?
Buy it if
- you are sensitive to bright or sharp treble (treble sits 2.9 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 24 points.
Skip it if
- you want to buy it new: it is discontinued.
| Back | Closed |
|---|---|
| Bluetooth | Yes |
| Connection | Bluetooth |
| Deviation From Target | 2.21 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 Dynamic |
| Form Factor | In-ear |
| Harman Preference Score | 68 (median of 6 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 | -0.89 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 Harman match with this EQ: 92 out of 100, up from 68.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.5 dB | 0.70 |
| Peak | 240 Hz | -1.8 dB | 0.64 |
| Peak | 3,808 Hz | +5.9 dB | 1.25 |
Neutral 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 Neutral match with this EQ: 93 out of 100, up from 29.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.0 dB | 0.70 |
| Peak | 211 Hz | -1.6 dB | 0.40 |
| Peak | 3,808 Hz | +5.9 dB | 1.25 |
Studio flat 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 Studio flat match with this EQ: 90 out of 100, up from 9.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.8 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 194 Hz | -3.4 dB | 0.47 |
| Peak | 1,450 Hz | -1.1 dB | 3.07 |
| Peak | 2,954 Hz | +6.0 dB | 1.26 |
| Peak | 4,177 Hz | +1.8 dB | 2.77 |
Warm 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 94 out of 100, up from 78.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.2 dB | 0.70 |
| High shelf | 10,000 Hz | -3.7 dB | 0.70 |
| Peak | 225 Hz | -1.6 dB | 0.70 |
| Peak | 3,576 Hz | +4.3 dB | 1.70 |
| Peak | 7,558 Hz | -2.7 dB | 5.75 |
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: 93 out of 100, up from 75.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.3 dB | 0.70 |
| Peak | 250 Hz | -1.9 dB | 0.72 |
| Peak | 3,808 Hz | +5.9 dB | 1.25 |
Bright 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 Bright match with this EQ: 89 out of 100, up from 17.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.1 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 217 Hz | -1.7 dB | 0.40 |
| Peak | 746 Hz | +0.8 dB | 3.13 |
| Peak | 1,529 Hz | -1.3 dB | 2.36 |
| Peak | 3,573 Hz | +6.0 dB | 0.98 |
| Peak | 5,515 Hz | +3.2 dB | 4.57 |
V-shaped target
Set a preamp of -6.5 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 85 out of 100, up from 64.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.0 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 312 Hz | -0.7 dB | 1.39 |
| Peak | 1,353 Hz | -1.9 dB | 1.47 |
| Peak | 3,354 Hz | +6.0 dB | 0.94 |
| Peak | 5,448 Hz | +3.4 dB | 3.91 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Samsung Galaxy Buds FE 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 aden, aquaphobic, digaoreviews, hadoe, regancipher and soundignity. Thanks to each of them for publishing their work.