Price: ₹12,999.00
(as of Dec 16, 2024 08:03:09 UTC – Details)
Look no further than the amazing Moto G34 5G smartphone, which is built to improve performance and add sophistication to your life. Powered by the LPDDR4X RAM and the Snapdragon 695 5G octa-core CPU, the Moto G34 5G offers the performance needed to fully utilise 5G networks. The Moto G34 5G sticks out with its slim, elegant, and light design. There’s a vegan leather special edition for an added bit of refinement. Take incredibly clear and vibrant pictures with the sophisticated 50 MP Quad Pixel camera with Image Auto Enhance, the Quad pixel camera system helps you take stunning pictures even in dim lighting. Plus it comes with advanced 16 MP Selfie Camera.
In The Box : Handset, Charger, USB Cable, Sim Tool, Guides Model Number : PB1V0005IN Model Name : G34 5G Color : Ocean Green Browse Type : Smartphones SIM TypeDual : Sim Hybrid Sim Slot : Yes Touchscreen : Yes OTG Compatible : Yes Quick Charging : Yes Sound Enhancements : Stereo Speakers Operating System : Android 14 Processor Brand : Snapdragon
Processor Type : Snapdragon 695 5G Processor Core : Octa Core Primary Clock Speed : 2.2 GHz Internal Storage : 128 GB RAM : 8 GB Supported Memory Card Type : MicroSD Memory Card Slot Type : Hybrid Slot Primary Camera Available : Yes Primary Camera : 50MP + 2MP Secondary Camera Available : Yes Secondary Camera : 16MP Front Camera Secondary Camera Features : Front Camera Setup: 16MP (f/2.4 Aperture, 1.0um/2.0um Ultra Pixel)
Flash : Single LED Flash HD Recording : Yes Full HD Recording : Yes Video Recording : Yes Video Recording Resolution : Rear Camera: Main Camera (FHD (at 30 fps)), Macro Camera (HD (at 30 fps)) Frame Rate : 30 fps Dual Camera Lens : Primary Camera
Customers say
Customers find the cell phone offers good value for money. They appreciate its performance, display quality, and sound quality. The 5G connectivity ensures blazing-fast speeds. However, some customers have mixed opinions on phone quality, battery life, and heating issues.
AI-generated from the text of customer reviews