Unisoc Tanggula T760 5G vs Unisoc Tiger T618
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The Unisoc Tiger T618 and Unisoc Tanggula T760 5G are two processors with varying specifications. Let's compare them based on their key specifications.
Starting with the Unisoc Tiger T618, it has an architecture consisting of 2x 2.0 GHz Cortex-A75 cores and 6x 2.0 GHz Cortex-A55 cores. It is an octa-core processor with ARMv8.2-A instruction set. The Tiger T618 has a lithography of 12 nm and a thermal design power (TDP) of 10 Watts. Additionally, it features a neural processing unit (NPU) for AI-related tasks.
Moving on to the Unisoc Tanggula T760 5G, it has an architecture that includes 4x 2.2 GHz Cortex-A76 cores and 4x 1.8 GHz Cortex-A55 cores. Similar to the Tiger T618, it is an octa-core processor with ARMv8.2-A instruction set. However, the Tanggula T760 5G has a slightly superior lithography of 6 nm and a lower TDP of 5 Watts. It also includes an NPU for neural processing tasks.
Comparing these two processors, it's evident that the Tanggula T760 5G has a more advanced architecture with Cortex-A76 cores as compared to Cortex-A75 cores in the Tiger T618. This suggests better performance potential for the Tanggula T760 5G, especially in multi-threaded tasks. Additionally, the Tanggula T760 5G benefits from a superior lithography of 6 nm, indicating improved power efficiency.
The Tiger T618, on the other hand, has a higher TDP of 10 Watts, potentially impacting power consumption and thermal management. However, it's essential to note that both processors come equipped with an NPU for AI-related tasks, offering similar capabilities in that regard.
When choosing between these two processors, it ultimately depends on factors such as performance requirements, power efficiency, and budget. The Tanggula T760 5G may be a more suitable choice for those seeking better performance and improved power efficiency due to its advanced architecture and lower TDP. However, the Tiger T618 can still offer compelling performance for the right use cases with its unique specifications.
Starting with the Unisoc Tiger T618, it has an architecture consisting of 2x 2.0 GHz Cortex-A75 cores and 6x 2.0 GHz Cortex-A55 cores. It is an octa-core processor with ARMv8.2-A instruction set. The Tiger T618 has a lithography of 12 nm and a thermal design power (TDP) of 10 Watts. Additionally, it features a neural processing unit (NPU) for AI-related tasks.
Moving on to the Unisoc Tanggula T760 5G, it has an architecture that includes 4x 2.2 GHz Cortex-A76 cores and 4x 1.8 GHz Cortex-A55 cores. Similar to the Tiger T618, it is an octa-core processor with ARMv8.2-A instruction set. However, the Tanggula T760 5G has a slightly superior lithography of 6 nm and a lower TDP of 5 Watts. It also includes an NPU for neural processing tasks.
Comparing these two processors, it's evident that the Tanggula T760 5G has a more advanced architecture with Cortex-A76 cores as compared to Cortex-A75 cores in the Tiger T618. This suggests better performance potential for the Tanggula T760 5G, especially in multi-threaded tasks. Additionally, the Tanggula T760 5G benefits from a superior lithography of 6 nm, indicating improved power efficiency.
The Tiger T618, on the other hand, has a higher TDP of 10 Watts, potentially impacting power consumption and thermal management. However, it's essential to note that both processors come equipped with an NPU for AI-related tasks, offering similar capabilities in that regard.
When choosing between these two processors, it ultimately depends on factors such as performance requirements, power efficiency, and budget. The Tanggula T760 5G may be a more suitable choice for those seeking better performance and improved power efficiency due to its advanced architecture and lower TDP. However, the Tiger T618 can still offer compelling performance for the right use cases with its unique specifications.
CPU cores and architecture
| Architecture | 4x 2.2 GHz – Cortex-A76 4x 1.8 GHz – Cortex-A55 |
2x 2.0 GHz – Cortex-A75 6x 2.0 GHz – Cortex-A55 |
| Number of cores | 8 | 8 |
| Instruction Set | ARMv8.2-A | ARMv8.2-A |
| Lithography | 6 nm | 12 nm |
| TDP | 5 Watt | 10 Watt |
| Neural Processing | NPU | NPU |
Memory (RAM)
| Max amount | up to 16 GB | up to 6 GB |
| Memory type | LPDDR4X | LPDDR4X |
| Memory frequency | 2133 MHz | 1866 MHz |
| Memory-bus | 4x16 bit | 2x16 bit |
Storage
| Storage specification | UFS 3.1 | eMMC 5.1 |
Graphics
| GPU name | Mali-G57 MP6 | Mali-G52 MP2 |
| GPU Architecture | Valhall | Bifrost |
| GPU frequency | 850 MHz | 850 MHz |
| Execution units | 6 | 2 |
| Shaders | 96 | 32 |
| DirectX | 12 | 11 |
| OpenCL API | 2.1 | 2.1 |
| OpenGL API | ES 3.2 | ES 3.2 |
| Vulkan API | 1.2 | 1.2 |
Camera, Video, Display
| Max screen resolution | 2160x1080 | 2400x1080 |
| Max camera resolution | 1x 64MP, 2x 24MP | 1x 64M |
| Max Video Capture | FullHD@30fps | FullHD@60fps |
| Video codec support | H.264 (AVC) H.265 (HEVC) |
H.264 (AVC) H.265 (HEVC) |
Wireless
| 4G network | Yes | Yes |
| 5G network | Yes | Yes |
| Peak Download Speed | 2.7 Gbps | 0.3 Gbps |
| Peak Upload Speed | 1.5 Gbps | 0.1 Gbps |
| Wi-Fi | 5 (802.11ac) | 5 (802.11ac) |
| Bluetooth | 5.0 | 5.0 |
| Satellite navigation | BeiDou GPS Galileo GLONASS |
BeiDou GPS Galileo GLONASS |
Supplemental Information
| Launch Date | 2021 February | 2019 August |
| Partnumber | T760 | T618 |
| Vertical Segment | Mobiles | Mobiles |
| Positioning | Mid-end | Mid-end |
AnTuTu 10
Total Score
GeekBench 6 Single-Core
Score
GeekBench 6 Multi-Core
Score
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