Geek Wold GK20 Review: Ranked #442 of 1253

Last updated: October 16, 2026

The Geek Wold GK20 ranks #442 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Geek Wold

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.

Geek Wold GK20 - ranked #442 of 1253 In-Ear Headphones · Editor's rating 4/5

#442 Geek Wold GK20: $99 eBay

Newer model: the Geek Wold GK20 Pro, ranked lower, rated 3.6/5. See every Geek Wold GK20 generation.

Pros: A broadly balanced tuning with a preference score of 74 against the Harman target.

Cons: An uneven response, 2.0 dB standard deviation from target.

Is the Geek Wold GK20 right for you?

Buy it if

  • 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 16 points.

Skip it if

  • you want the best value: the higher-rated EPZ G10 costs about $75 less.
BackClosed
ConnectionWired
Deviation From Target1.98 dB standard deviation
Driver TypeTribrid (1 dynamic + 3 balanced armature + 1 piezoelectric)
Drivers1 x dynamic + 3 x balanced armature + 1 x piezoelectric
Form FactorIn-ear
Harman Preference Score74 (median of 3 squig.link measurements, calibrated to AutoEQ)
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-0.9 dB at 30 Hz)
Tonal Tilt-0.19 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -2.6 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 90 out of 100, up from 74.

FilterFrequencyGainQ
Low shelf105 Hz+0.8 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak186 Hz-3.9 dB0.91
Peak743 Hz+2.9 dB2.07
Peak1,352 Hz-1.4 dB6.00
Peak1,684 Hz-3.4 dB3.73
Peak2,181 Hz-1.6 dB3.95
Peak3,317 Hz+2.0 dB5.05
Peak5,345 Hz+1.6 dB1.19
Peak7,536 Hz-2.4 dB6.00

Neutral target

Set a preamp of -2.6 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 93 out of 100, up from 43.

FilterFrequencyGainQ
Low shelf105 Hz-7.8 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak85 Hz-1.4 dB2.15
Peak186 Hz-3.8 dB0.84
Peak736 Hz+2.9 dB1.97
Peak1,685 Hz-3.4 dB3.77
Peak2,176 Hz-1.6 dB3.87
Peak3,317 Hz+2.0 dB5.06
Peak5,345 Hz+1.6 dB1.20
Peak7,536 Hz-2.4 dB6.00

Studio flat 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 88 out of 100, up from 25.

FilterFrequencyGainQ
Low shelf105 Hz-10.4 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak169 Hz-5.7 dB0.84
Peak761 Hz+2.8 dB2.42
Peak1,629 Hz-3.0 dB4.14
Peak3,146 Hz+4.6 dB3.47

Warm target

Set a preamp of -2.9 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 91 out of 100, up from 75.

FilterFrequencyGainQ
Low shelf105 Hz+1.0 dB0.70
High shelf10,000 Hz+0.8 dB0.70
Peak186 Hz-3.7 dB1.01
Peak750 Hz+3.2 dB2.04
Peak1,778 Hz-3.9 dB2.63
Peak7,772 Hz-3.9 dB2.85

Bass 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 92 out of 100, up from 67.

FilterFrequencyGainQ
Low shelf105 Hz+4.6 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak186 Hz-3.9 dB0.95
Peak746 Hz+2.9 dB2.12
Peak1,352 Hz-1.4 dB6.00
Peak1,683 Hz-3.4 dB3.72
Peak2,183 Hz-1.6 dB3.99
Peak3,317 Hz+2.0 dB5.04
Peak5,345 Hz+1.6 dB1.19
Peak7,536 Hz-2.4 dB6.00

Bright target

Set a preamp of -5.1 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: 87 out of 100, up from 32.

FilterFrequencyGainQ
Low shelf105 Hz-7.8 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak186 Hz-3.9 dB0.81
Peak734 Hz+2.9 dB2.01
Peak1,699 Hz-3.6 dB3.38
Peak2,222 Hz-1.5 dB4.80
Peak3,331 Hz+2.4 dB4.57
Peak5,345 Hz+4.8 dB1.39

V-shaped 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 84 out of 100, up from 65.

FilterFrequencyGainQ
Low shelf105 Hz+5.2 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak186 Hz-2.5 dB1.12
Peak709 Hz+2.4 dB1.96
Peak1,640 Hz-3.6 dB3.14
Peak3,225 Hz+2.4 dB5.06
Peak5,016 Hz+5.4 dB1.38

Frequency Response

How the Geek Wold GK20 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.

Geek Wold GK20Harman target
Measured frequency response of the Geek Wold GK20-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 3 measurements from the squig.link databases of arn, flare and soundcheck39. Thanks to each of them for publishing their work.

More Geek Wold headphones →