64 Audio U6t Review: Ranked #1112 of 1398

Last updated: October 20, 2026

The 64 Audio U6t ranks #1112 out of 1398 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: 64 Audio

Prices on this page were last checked October 19, 2026 at 10:32 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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#1112 64 Audio U6t: $1,399.00 64 Audio $1,399.00 eBay

Pros: A six balanced armature design with 64 Audio’s tia high driver and adjustable apex modules, measured by nine reviewers, with sub bass reaching to 20 Hz and bass within 2 dB of target. Lower mids sit close to target, so the sound is warm and smooth, and 108 dB/mW sensitivity is easy to drive.

Cons: Treble from 5 to 8 kHz sits about 5.5 dB low with a 7.5 dB dip near 6.3 kHz, and presence is about 3 dB low, so it sounds dark and lacks detail. Its preference score of 61 is ordinary for $1399, and the ThieAudio Monarch MKIII scores far higher for less.

Is the 64 Audio U6t right for you?

Buy it if

  • 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 28 points.

Skip it if

  • you want the best value: the higher-rated EPZ G10 costs about $1,375 less.
ReleasedJun 2021 (5 years ago)
BackClosed
ConnectionWired
Deviation From Target2.65 dB standard deviation
Driver TypeBalanced armature
Drivers6 x balanced armature (1 tia high, 1 high-mid, 2 mid, 2 low), 4-way passive crossover
Form FactorIn-ear
Harman Preference Score61 (median of 9 squig.link measurements, calibrated to AutoEQ)
Impedance10 ohms
Sensitivity108 dB/mW
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-0.5 dB at 30 Hz)
Tonal Tilt-1.04 (negative is warmer, positive brighter)

EQ Presets

Harman 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 89 out of 100, up from 61.

FilterFrequencyGainQ
Low shelf105 Hz-1.2 dB0.70
High shelf10,000 Hz-2.6 dB0.70
Peak237 Hz-3.2 dB0.58
Peak3,219 Hz+1.5 dB3.04
Peak5,345 Hz+4.3 dB0.54
Peak7,012 Hz-1.7 dB6.00

Neutral 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 90 out of 100, up from 25.

FilterFrequencyGainQ
Low shelf105 Hz-9.7 dB0.70
High shelf10,000 Hz-2.6 dB0.70
Peak217 Hz-3.1 dB0.48
Peak3,219 Hz+1.5 dB2.98
Peak5,345 Hz+4.3 dB0.54
Peak7,013 Hz-1.7 dB6.00

Studio flat target

Set a preamp of -6.2 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 88 out of 100, up from 5.

FilterFrequencyGainQ
Low shelf105 Hz-11.8 dB0.70
High shelf10,000 Hz+1.7 dB0.70
Peak209 Hz-4.9 dB0.53
Peak2,521 Hz+1.3 dB6.00
Peak3,109 Hz+6.0 dB1.18
Peak4,607 Hz-2.1 dB6.00
Peak5,888 Hz+3.5 dB6.00

Warm target

Set a preamp of -2.8 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 90 out of 100, up from 73.

FilterFrequencyGainQ
Low shelf105 Hz-0.9 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak227 Hz-3.0 dB0.61
Peak5,707 Hz+3.0 dB0.52

Bass 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 90 out of 100, up from 66.

FilterFrequencyGainQ
Low shelf105 Hz+2.6 dB0.70
High shelf10,000 Hz-2.6 dB0.70
Peak23 Hz+0.8 dB0.92
Peak243 Hz-3.3 dB0.61
Peak3,219 Hz+1.5 dB3.06
Peak5,345 Hz+4.3 dB0.54
Peak7,012 Hz-1.7 dB6.00

Bright target

Set a preamp of -6.2 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 81 out of 100, up from 12.

FilterFrequencyGainQ
Low shelf105 Hz-9.7 dB0.70
Peak217 Hz-3.1 dB0.46
Peak4,056 Hz+6.0 dB0.91
Peak5,686 Hz+1.9 dB6.00

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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 78 out of 100, up from 54.

FilterFrequencyGainQ
Low shelf105 Hz+3.3 dB0.70
High shelf10,000 Hz+1.0 dB0.70
Peak266 Hz-1.9 dB0.47
Peak3,807 Hz+6.0 dB0.87
Peak5,611 Hz+2.4 dB6.00

Frequency Response

How the 64 Audio U6t 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 9 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.

64 Audio U6tHarman target
Measured frequency response of the 64 Audio U6t-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 9 measurements from the squig.link databases of adri-n, bloomaudio, boizoff, ekaudio, eliseaudio, listener, precog, soundignity and superreview. Thanks to each of them for publishing their work.

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