CCA C10 PRO Review: Ranked #515 of 1084

Last updated: October 15, 2026

The CCA C10 PRO ranks #515 out of 1084 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: CCA

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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CCA C10 PRO - ranked #515 of 1084 In-Ear Headphones · Editor's rating 3.8/5

#515 CCA C10 PRO Discontinued eBay

Pros: A budget hybrid with one dynamic driver and four balanced armatures. Measurements show treble right on the Harman target and full sub-bass to 20 Hz (score 71 across four measurements).

Cons: Discontinued, so it is mainly found used.

Is the CCA C10 PRO 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 13 points.

Skip it if

  • you want to buy it new: it is discontinued.
BackClosed
ConnectionWired
Deviation From Target2.28 dB standard deviation
Driver TypeHybrid
Drivers1 x 10mm dynamic + 4 x balanced armature
Form FactorIn-ear
Harman Preference Score71 (median of 4 squig.link measurements, calibrated to AutoEQ)
Impedance24 ohms
Sensitivity109 dB/mW
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-0.6 dB at 30 Hz)
Tonal Tilt-0.02 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -1.6 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 84 out of 100, up from 71.

FilterFrequencyGainQ
Low shelf105 Hz-0.3 dB0.70
High shelf10,000 Hz-4.4 dB0.70
Peak24 Hz+1.4 dB1.41
Peak164 Hz-4.5 dB0.79
Peak683 Hz+2.0 dB2.57
Peak2,352 Hz-4.1 dB3.23
Peak3,458 Hz+1.5 dB6.00
Peak5,018 Hz-2.4 dB6.00
Peak6,822 Hz+2.0 dB2.51

Neutral target

Set a preamp of -1.6 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 86 out of 100, up from 41.

FilterFrequencyGainQ
Low shelf105 Hz-8.8 dB0.70
High shelf10,000 Hz-4.4 dB0.70
Peak23 Hz+0.9 dB1.47
Peak77 Hz-0.9 dB2.63
Peak164 Hz-4.5 dB0.71
Peak673 Hz+2.1 dB2.31
Peak2,354 Hz-4.1 dB3.28
Peak3,459 Hz+1.5 dB6.00
Peak5,018 Hz-2.4 dB6.00
Peak6,823 Hz+2.0 dB2.51

Studio flat 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 89 out of 100, up from 26.

FilterFrequencyGainQ
Low shelf105 Hz-11.4 dB0.70
Peak166 Hz-6.3 dB0.75
Peak307 Hz-0.9 dB3.02
Peak685 Hz+2.0 dB3.06
Peak2,214 Hz-1.6 dB2.86
Peak3,350 Hz+2.6 dB6.00
Peak4,400 Hz-1.3 dB6.00
Peak5,078 Hz-4.8 dB6.00
Peak6,895 Hz+2.0 dB3.59

Warm target

Set a preamp of -1.8 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 84 out of 100, up from 67.

FilterFrequencyGainQ
High shelf10,000 Hz-6.0 dB0.70
Peak24 Hz+1.3 dB1.64
Peak80 Hz-0.9 dB2.23
Peak164 Hz-4.3 dB0.85
Peak709 Hz+2.4 dB1.95
Peak2,374 Hz-3.5 dB4.60
Peak3,461 Hz+1.9 dB6.00
Peak4,708 Hz-2.4 dB0.40
Peak6,794 Hz+2.0 dB3.68

Bass target

Set a preamp of -5.0 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 86 out of 100, up from 63.

FilterFrequencyGainQ
Low shelf105 Hz+3.5 dB0.70
High shelf10,000 Hz-4.4 dB0.70
Peak24 Hz+1.6 dB1.31
Peak166 Hz-4.5 dB0.82
Peak684 Hz+2.0 dB2.62
Peak2,351 Hz-4.1 dB3.22
Peak3,458 Hz+1.5 dB6.00
Peak5,018 Hz-2.4 dB6.00
Peak6,822 Hz+2.0 dB2.51

Bright target

Set a preamp of -5.4 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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 86 out of 100, up from 34.

FilterFrequencyGainQ
Low shelf105 Hz-8.9 dB0.70
High shelf10,000 Hz-0.6 dB0.70
Peak23 Hz+1.0 dB1.95
Peak76 Hz-0.9 dB2.22
Peak164 Hz-4.5 dB0.72
Peak672 Hz+2.0 dB2.51
Peak2,314 Hz-3.8 dB4.19
Peak3,552 Hz+3.2 dB5.73
Peak6,044 Hz+5.2 dB6.00
Peak7,630 Hz+1.7 dB6.00

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 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 83 out of 100, up from 66.

FilterFrequencyGainQ
Low shelf105 Hz+4.1 dB0.70
High shelf10,000 Hz+0.3 dB0.70
Peak164 Hz-3.2 dB0.90
Peak636 Hz+1.8 dB2.56
Peak2,306 Hz-3.1 dB3.26
Peak3,601 Hz+3.3 dB6.00
Peak5,990 Hz+5.5 dB5.84

Frequency Response

How the CCA C10 PRO 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 4 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.

CCA C10 PROHarman target
Measured frequency response of the CCA C10 PRO-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 4 measurements from the squig.link databases of aden, bedrock, melatonin and pw. Thanks to each of them for publishing their work.

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