Unisoc Tanggula T740 5G vs Unisoc Tiger T616
The Unisoc Tiger T616 and Unisoc Tanggula T740 5G are both processors manufactured by Unisoc. While they share some similarities, they also have distinct differences that set them apart.
In terms of CPU cores and architecture, the Tiger T616 features an architecture of 2x 2.0 GHz Cortex-A75 cores and 6x 1.8 GHz Cortex-A55 cores, totaling 8 cores. On the other hand, the Tanggula T740 5G comes with 4x 1.8 GHz Cortex-A75 cores and 4x 1.8 GHz Cortex-A55 cores, also totaling 8 cores.
Both processors are based on the ARMv8.2-A instruction set and have a lithography of 12 nm. This means that they offer efficient power consumption and performance.
However, the Unisoc Tanggula T740 5G stands out with its additional feature - neural processing. It is equipped with dual NPUs (Neural Processing Units), enabling enhanced AI capabilities. This makes it suitable for tasks that require AI processing, such as image recognition, voice assistants, and machine learning.
In terms of power consumption, the Tiger T616 has a TDP (Thermal Design Power) of 10 Watts. On the other hand, the power consumption details of the Tanggula T740 5G are not specified in the provided information.
Both processors have their own strengths and suit different use cases. If performance and multitasking capabilities are the priority, the Tiger T616 with its combination of Cortex-A75 and Cortex-A55 cores would be a good choice. On the other hand, if AI-related tasks and processing are essential, the Tanggula T740 5G with its dual NPU would be a more suitable option.
In conclusion, the Unisoc Tiger T616 and Unisoc Tanggula T740 5G are two processors that offer different strengths. The Tiger T616 focuses on performance and multitasking, while the Tanggula T740 5G excels in AI processing with its dual NPU. The choice between the two would depend on the specific requirements and priorities of the intended usage.
In terms of CPU cores and architecture, the Tiger T616 features an architecture of 2x 2.0 GHz Cortex-A75 cores and 6x 1.8 GHz Cortex-A55 cores, totaling 8 cores. On the other hand, the Tanggula T740 5G comes with 4x 1.8 GHz Cortex-A75 cores and 4x 1.8 GHz Cortex-A55 cores, also totaling 8 cores.
Both processors are based on the ARMv8.2-A instruction set and have a lithography of 12 nm. This means that they offer efficient power consumption and performance.
However, the Unisoc Tanggula T740 5G stands out with its additional feature - neural processing. It is equipped with dual NPUs (Neural Processing Units), enabling enhanced AI capabilities. This makes it suitable for tasks that require AI processing, such as image recognition, voice assistants, and machine learning.
In terms of power consumption, the Tiger T616 has a TDP (Thermal Design Power) of 10 Watts. On the other hand, the power consumption details of the Tanggula T740 5G are not specified in the provided information.
Both processors have their own strengths and suit different use cases. If performance and multitasking capabilities are the priority, the Tiger T616 with its combination of Cortex-A75 and Cortex-A55 cores would be a good choice. On the other hand, if AI-related tasks and processing are essential, the Tanggula T740 5G with its dual NPU would be a more suitable option.
In conclusion, the Unisoc Tiger T616 and Unisoc Tanggula T740 5G are two processors that offer different strengths. The Tiger T616 focuses on performance and multitasking, while the Tanggula T740 5G excels in AI processing with its dual NPU. The choice between the two would depend on the specific requirements and priorities of the intended usage.
CPU cores and architecture
Architecture | 4x 1.8 GHz – Cortex-A75 4x 1.8 GHz – Cortex-A55 |
2x 2.0 GHz – Cortex-A75 6x 1.8 GHz – Cortex-A55 |
Number of cores | 8 | 8 |
Instruction Set | ARMv8.2-A | ARMv8.2-A |
Lithography | 12 nm | 12 nm |
TDP | 10 Watt | |
Neural Processing | Dual NPU |
Memory (RAM)
Max amount | up to 8 GB | up to 6 GB |
Memory type | LPDDR4X | LPDDR4X |
Memory frequency | 1866 MHz | 1866 MHz |
Memory-bus | 2x16 bit |
Storage
Storage specification | UFS 2.1 | UFS 2.1 |
Graphics
GPU name | Imagination PowerVR GM9446 | Mali-G57 MP1 |
GPU Architecture | Rogue | Bifrost |
GPU frequency | 800 MHz | 750 MHz |
Execution units | 1 | |
Shaders | 16 | |
DirectX | 11 | |
OpenCL API | 4.0 | 2.1 |
OpenGL API | ES 3.2 | ES 3.2 |
Vulkan API | 1.1 | 1.2 |
Camera, Video, Display
Max screen resolution | 2960x1440@60Hz | 2400x1080 |
Max camera resolution | 1x 64MP | 1x 64MP, 2x 32MP |
Max Video Capture | 4K@30fps | FullHD@60fps |
Video codec support | H.264 (AVC) H.265 (HEVC) VP8 VP9 |
H.264 (AVC) H.265 (HEVC) |
Wireless
4G network | Yes | Yes |
5G network | Yes | Yes |
Peak Download Speed | 1.5 Gbps | 0.3 Gbps |
Peak Upload Speed | 0.75 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 | 2020 Quarter 1 | 2021 |
Partnumber | T740, Tiger T7510 | T616 |
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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