Apple iPhone 12 alternatives
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Lava Yuva 5G alternatives
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Apple iPhone 12

Apple iPhone 12
-
A14 Bionic
5 nm
-
2815 mAh
20W
-
6.1"
1170 x 2532 pixels
-
12 MP
4K@24/30/60fps
- Specs
Lava Yuva 5G

Lava Yuva 5G
-
Unisoc T750
6 nm
-
5000 mAh
18W
-
6.53"
720x1600 pixels
-
50 MP
1080p@30fps
-
Specs
2x3.1 GHz Firestorm
4x1.8 GHz Icestorm
2x2.0 GHz Cortex-A76
6x1.8 GHz Cortex-A55
4GB 128GB (NVMe)
4GB 256GB (NVMe)
4GB 128GB (UFS 2.2)
f/1.6, 26mm (wide), 1.4µm, dual pixel PDAF, OIS
12 MP
f/2.4, 13mm, 120˚ (ultrawide), 1/3.6"
(wide), AF
2 MP
(macro)
1080p@30/60/120/240fps
f/2.2, 23mm (wide), 1/3.6"
SL 3D, (depth/biometrics sensor)
1080p@30/60/120fps
SIM1: Nano, SIM2: eSIM
SIM1: Nano, SIM2: Nano
17 5G bands
n1, n2, n3, n5, n7, n8, n20, n25, n28, n38, n40, n41, n66, n71, n77, n78, n79
8 5G bands
n1, n3, n5, n8, n28, n40, n77, n78
In this performance comparison, the Apple iPhone 12 with its Apple A14 Bionic (5nm) performs better than the Lava Yuva 5G with the Unisoc Unisoc T750 (6nm), thanks to superior chipset efficiency.
Apple iPhone 12 offers 7 years of OS updates, whereas Lava Yuva 5G provides 1 years. For security updates, Apple iPhone 12 offers 7 years of support compared to Lava Yuva 5G's 2 years.
Apple iPhone 12 features a superior AMOLED display, while Lava Yuva 5G comes with an LCD panel. In terms of smoothness, Lava Yuva 5G offers a higher 90 Hz refresh rate, ensuring fluid scrolling and animations. Both devices deliver the same brightness level at nits. Notably, Apple iPhone 12 offers a higher screen resolution, resulting in sharper visuals and more detailed content.
Lava Yuva 5G features a larger 5000 mAh battery, potentially delivering better battery life. Apple iPhone 12 also supports faster wired charging at 20W, compared to 18W on Lava Yuva 5G. Apple iPhone 12 supports wireless charging at 15W, while Lava Yuva 5G does not support wireless charging.
Apple iPhone 12 includes an IP68 rating, while Lava Yuva 5G lacks an official IP rating.
- Lava Yuva 5G – Check price here
¹ Scores can vary even with the same chipset due to RAM, thermals, and software optimization.