NiceHCK NX8Ti Review: Ranked #510 of 1061

Last updated: October 15, 2026

The NiceHCK NX8Ti ranks #510 out of 1061 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: NiceHCK

Prices on this page were last checked October 15, 2026 at 5:41 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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#510 NiceHCK NX8Ti: $399.00 Amazon $399.00 eBay

Pros: A limited tribrid with a titanium dynamic driver, six balanced armatures and a piezo tweeter. Measurements show bass right on the Harman target and full sub-bass to 20 Hz (score 71 across nine measurements).

Cons: Treble sits about 3.5 dB below target, a dark, relaxed balance. A 180 ohm impedance is unusually high for an IEM, so check your source can drive it.

Is the NiceHCK NX8Ti right for you?

Buy it if

  • your taste runs warm: it scores 81 for that sound.
  • you are sensitive to bright or sharp treble (treble sits 3.5 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 21 points.

Skip it if

  • you will plug straight into a phone or laptop: at 180 ohms it needs a headphone amp.
  • you want the best value: the higher-rated EPZ G10 costs about $375 less.
Released2026 (this year)
BackClosed
ConnectionWired
Deviation From Target2.04 dB standard deviation
Driver TypeTribrid
Drivers1 x dynamic + 6 x balanced armature + 1 x piezoelectric
Form FactorIn-ear
Harman Preference Score71 (median of 9 squig.link measurements, calibrated to AutoEQ)
Impedance180 ohms
Sensitivity112.3 dB/mW
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (+0.6 dB at 30 Hz)
Tonal Tilt-0.79 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -5.8 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 Harman match with this EQ: 92 out of 100, up from 71.

FilterFrequencyGainQ
Low shelf105 Hz-0.6 dB0.70
High shelf10,000 Hz-5.9 dB0.70
Peak200 Hz-1.7 dB1.02
Peak2,699 Hz+2.0 dB6.00
Peak4,667 Hz+5.9 dB0.97

Neutral target

Set a preamp of -5.8 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 Neutral match with this EQ: 92 out of 100, up from 33.

FilterFrequencyGainQ
Low shelf105 Hz-9.1 dB0.70
High shelf10,000 Hz-5.9 dB0.70
Peak186 Hz-1.5 dB0.71
Peak2,699 Hz+2.0 dB6.00
Peak4,666 Hz+5.9 dB0.96

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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 13.

FilterFrequencyGainQ
Low shelf105 Hz-11.3 dB0.70
High shelf10,000 Hz+0.5 dB0.70
Peak188 Hz-3.3 dB0.64
Peak1,575 Hz-2.2 dB2.23
Peak2,773 Hz+6.0 dB1.22
Peak5,143 Hz+3.6 dB2.85

Warm 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 93 out of 100, up from 81.

FilterFrequencyGainQ
Low shelf105 Hz-0.3 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak191 Hz-1.5 dB1.19
Peak2,709 Hz+2.1 dB6.00
Peak4,547 Hz+4.0 dB1.29

Bass target

Set a preamp of -5.8 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 Bass match with this EQ: 93 out of 100, up from 76.

FilterFrequencyGainQ
Low shelf105 Hz+3.2 dB0.70
High shelf10,000 Hz-5.9 dB0.70
Peak205 Hz-1.7 dB1.12
Peak2,699 Hz+2.0 dB6.00
Peak4,667 Hz+5.9 dB0.97

Bright target

Set a preamp of -6.3 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 87 out of 100, up from 21.

FilterFrequencyGainQ
Low shelf105 Hz-9.1 dB0.70
High shelf10,000 Hz-2.2 dB0.70
Peak23 Hz-1.3 dB2.28
Peak186 Hz-1.6 dB0.77
Peak1,445 Hz-1.8 dB2.31
Peak2,840 Hz+2.5 dB4.10
Peak4,319 Hz+0.9 dB2.26
Peak5,345 Hz+5.7 dB0.65
Peak6,935 Hz-3.3 dB5.77

V-shaped target

Set a preamp of -6.3 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 9 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 83 out of 100, up from 64.

FilterFrequencyGainQ
Low shelf105 Hz+3.9 dB0.70
High shelf10,000 Hz-0.9 dB0.70
Peak46 Hz+0.7 dB2.21
Peak1,373 Hz-2.2 dB2.27
Peak2,856 Hz+2.8 dB3.71
Peak4,271 Hz+0.8 dB2.17
Peak5,345 Hz+5.7 dB0.58
Peak6,991 Hz-3.6 dB5.46

Frequency Response

How the NiceHCK NX8Ti 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.

NiceHCK NX8TiHarman target
Measured frequency response of the NiceHCK NX8Ti-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 9 measurements from the squig.link databases of atechreviews, audioamigo, bassaudio, dl, elrics, hu-fi, jaytiss, practiphile and superreview. Thanks to each of them for publishing their work.

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