UNISOC Tangula T770 vs UNISOC T8200 (T765)
UNISOC Tangula T770
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The Unisoc T770 Tanggula (former Spreadtrum) is a mid range SoC for Android based smartphones and tablets. It integrates an octa-core CPU with three clusters. One fast ARM Cortex-A76 clocked at up to 2.5 GHz, three more A76 performance cores clocked at up to 2.2 GHz and a power efficiency cluster of four ARM-Cortex-A55 cores with up to 2 GHz. The integrated memory controller supports LPDDR4/4X with up to 2133 MHz (2x 16 Bit). The integrated ISP supports two main cameras and two subsidiary cameras (up to 108 MPix). The integrated graphics card is an ARM Mali-G57 MC4 (4 cores) at up to 780 MHz. Unisoc also specifies that the T770 offers hardware AI acceleration.
The chip is manufactured in the modern 6nm process.
UNISOC T8200 (T765)
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The UniSoc T8200 (former UniSoc T765) is a mid-range SoC with 8 processor cores in two clusters. The two large ARM Cortex-A76 cores are clocked at up to 2.3 GHz. The six smaller cores run at up to 2.1 GHz.
The integrated memory controller supports LPDDR4/4X with up to 2133 MHz (2x 16 bit). The integrated ISP supports a camera up to 108 MPixel. The integrated graphics card is an ARM Mali-G57 MC2 (2 cores) is used. The built-in 5G modem supports TDD+FDD CA in the sub-6GHz spectrum with 130 MHz bandwidth.
The chip is manufactured using the somewhat older 6nm process (EUV at TSMC).
| Model | UNISOC Tangula T770 | UNISOC T8200 (T765) |
| Codename | Cortex-A76 / A55 | Cortex-A76 / A55 |
| Clock | 2000 - 2500 MHz | 2100 - 2300 MHz |
| Cores / Threads | 8 / 8 | 8 / 8 2 x 2.3 GHz ARM Cortex-A76 6 x 2.1 GHz ARM Cortex-A55 |
| Technology | 6 nm | 6 nm |
| Features | ISP (2 main + 2 subsidiary, 108M 4-in-1, 64M ZSL) | ISP (2 main + 2 subsidiary, 108M 4-in-1, 64M ZSL) |
| iGPU | ARM Mali-G57 MP4 ( - 780 MHz) | ARM Mali-G57 MP2 ( - 850 MHz) |
| Architecture | ARM | ARM |
| Announced |
Benchmarks
Average Benchmarks UNISOC Tangula T770 → 100% n=2
Average Benchmarks UNISOC T8200 (T765) → 89% n=2
* Smaller numbers mean a higher performance
1 This benchmark is not used for the average calculation