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JBL CLUB 700BT On-Ear Wireless Headphones

MSRP 200 USDNeoscore 63%

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Photo 0of JBL CLUB 700BT On-Ear Wireless HeadphonesPhoto 1of JBL CLUB 700BT On-Ear Wireless HeadphonesPhoto 2of JBL CLUB 700BT On-Ear Wireless HeadphonesPhoto 3of JBL CLUB 700BT On-Ear Wireless HeadphonesPhoto 4of JBL CLUB 700BT On-Ear Wireless Headphones
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Description

JBL CLUB 700BT is a mid-range on-ear wireless headphone inspired by touring musicians with a pair of 40mm dynamic drivers. It boasts 50 hours of battery life and can be recharged in under 2 hours.
The JBL CLUB 700BT delivers Hi-Res sound while Ambient Aware and TalkThru functionalities make it easy to carry out a conversation. It also supports both Google Assistant and Alexa built-in voice assistants.
Alongside the CLUB 700BT, JBL also introduced the over-ear CLUB 950NC and CLUB ONE in this series.

Ratings

Neoscore* 63%
  • Decently stable on-ear
  • Comfortable fit
  • Good battery life
  • Mediocre sound quality
  • Not compatible with Xbox One

Price Comparison (incl. referral links)

Specifications

Construction

Battery Capacity
610 mAh
Cable
1.2 m + 1.5 m coiled (CLUB ONE only)
Colors
Black
Drivers
40 mm dynamic
Form Factor
On-ear wireless headphone
Headphone Type
Dynamic, closed

Dimensions

Weight
283 g

Function

Bluetooth Profiles
A2DP 1.3, AVRCP 1.5, HFP 1.6
Ports
3.5mm, USB-C
Wireless Connectivity
Bluetooth 5.0

Performance

Battery Life
50 h
Frequency Response
Active16Hz - 22kHz
Passive16Hz - 40kHz
Impedance
32 ohms
Max Sound Level
93 dB
Microphone Sensitivity
-24 dBV@1kHz/Pa
Power Input
1000 mW
Sensitivity
100 dB SPL@1 kHz / 1 mW

Production

Availability
2020-03
Debut
2020-01 CES

Related Articles

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User Reviews

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The MSRP provided on this page may not apply to all regions equally. It is the launch price. For the current price, please refer to the Price Comparison section.

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* Neoscore is our sentiment analyzer based on natural language processing (NLP). Scaled in the range of 0 to 100, Neoscore eliminates scoring biases from each publisher.

** Neoanalyzer is our summarizer based on NLP. It identifies key takeaways from third-party review.

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