HiSilicon Kirin 9000E 5G vs Unisoc Tanggula T760 5G
The HiSilicon Kirin 9000E 5G and Unisoc Tanggula T760 5G are two processors with different specifications.
The Kirin 9000E 5G features a more advanced architecture, consisting of 1x 3.13 GHz Cortex-A77 core, 3x 2.54 GHz Cortex-A77 cores, and 4x 2.05 GHz Cortex-A55 cores. On the other hand, the Tanggula T760 5G has 4x 2.2 GHz Cortex-A76 cores and 4x 1.8 GHz Cortex-A55 cores. The Kirin 9000E 5G therefore offers a higher clock speed, which may result in better performance in tasks that require single-threaded performance.
Both processors have 8 cores and support ARMv8.2-A instruction set. The Kirin 9000E 5G, however, boasts a smaller lithography of 5 nm, compared to the Tanggula T760 5G's 6 nm lithography. A smaller lithography generally allows for better power efficiency and improved performance.
In terms of neural processing capabilities, the Kirin 9000E 5G utilizes Ascend Lite and Ascend Tiny, with HUAWEI Da Vinci Architecture 2.0. This suggests that the processor may excel in AI-related tasks. On the other hand, the Tanggula T760 5G features an NPU (Neural Processing Unit), which indicates its ability to handle AI workloads effectively.
When it comes to power consumption, the Tanggula T760 5G has a TDP (Thermal Design Power) of 5 Watts, while the Kirin 9000E 5G has a slightly higher TDP of 6 Watts. This means that the Tanggula T760 5G may be more power-efficient, which could result in longer battery life for devices using this processor.
To summarize, the HiSilicon Kirin 9000E 5G and Unisoc Tanggula T760 5G processors have different specifications and strengths. The Kirin 9000E 5G offers a higher clock speed, smaller lithography, and advanced AI capabilities. On the other hand, the Tanggula T760 5G boasts power efficiency and an NPU for AI-related tasks. Ultimately, the choice between these processors will depend on the specific requirements and priorities of the device or application they are intended for.
The Kirin 9000E 5G features a more advanced architecture, consisting of 1x 3.13 GHz Cortex-A77 core, 3x 2.54 GHz Cortex-A77 cores, and 4x 2.05 GHz Cortex-A55 cores. On the other hand, the Tanggula T760 5G has 4x 2.2 GHz Cortex-A76 cores and 4x 1.8 GHz Cortex-A55 cores. The Kirin 9000E 5G therefore offers a higher clock speed, which may result in better performance in tasks that require single-threaded performance.
Both processors have 8 cores and support ARMv8.2-A instruction set. The Kirin 9000E 5G, however, boasts a smaller lithography of 5 nm, compared to the Tanggula T760 5G's 6 nm lithography. A smaller lithography generally allows for better power efficiency and improved performance.
In terms of neural processing capabilities, the Kirin 9000E 5G utilizes Ascend Lite and Ascend Tiny, with HUAWEI Da Vinci Architecture 2.0. This suggests that the processor may excel in AI-related tasks. On the other hand, the Tanggula T760 5G features an NPU (Neural Processing Unit), which indicates its ability to handle AI workloads effectively.
When it comes to power consumption, the Tanggula T760 5G has a TDP (Thermal Design Power) of 5 Watts, while the Kirin 9000E 5G has a slightly higher TDP of 6 Watts. This means that the Tanggula T760 5G may be more power-efficient, which could result in longer battery life for devices using this processor.
To summarize, the HiSilicon Kirin 9000E 5G and Unisoc Tanggula T760 5G processors have different specifications and strengths. The Kirin 9000E 5G offers a higher clock speed, smaller lithography, and advanced AI capabilities. On the other hand, the Tanggula T760 5G boasts power efficiency and an NPU for AI-related tasks. Ultimately, the choice between these processors will depend on the specific requirements and priorities of the device or application they are intended for.
AnTuTu 10
Total Score
GeekBench 6 Single-Core
Score
GeekBench 6 Multi-Core
Score
CPU cores and architecture
Architecture | 1x 3.13 GHz – Cortex-A77 3x 2.54 GHz – Cortex-A77 4x 2.05 GHz – Cortex-A55 |
4x 2.2 GHz – Cortex-A76 4x 1.8 GHz – Cortex-A55 |
Number of cores | 8 | 8 |
Instruction Set | ARMv8.2-A | ARMv8.2-A |
Lithography | 5 nm | 6 nm |
Number of transistors | 15300 million | |
TDP | 6 Watt | 5 Watt |
Neural Processing | Ascend Lite + Ascend Tiny, HUAWEI Da Vinci Architecture 2.0 | NPU |
Memory (RAM)
Max amount | up to 16 GB | up to 16 GB |
Memory type | LPDDR5 | LPDDR4X |
Memory frequency | 2750 MHz | 2133 MHz |
Memory-bus | 4x16 bit | 4x16 bit |
Storage
Storage specification | UFS 3.1 | UFS 3.1 |
Graphics
GPU name | Mali-G78 MP22 | Mali-G57 MP6 |
GPU Architecture | Valhall | Valhall |
GPU frequency | 760 MHz | 850 MHz |
Execution units | 22 | 6 |
Shaders | 352 | 96 |
DirectX | 12 | 12 |
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 | 3840x2160 | 2160x1080 |
Max camera resolution | 1x 64MP, 2x 24MP | |
Max Video Capture | 4K@60fps | FullHD@30fps |
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 | 4.6 Gbps | 2.7 Gbps |
Peak Upload Speed | 2.5 Gbps | 1.5 Gbps |
Wi-Fi | 6 (802.11ax) | 5 (802.11ac) |
Bluetooth | 5.2 | 5.0 |
Satellite navigation | BeiDou GPS Galileo GLONASS NavIC |
BeiDou GPS Galileo GLONASS |
Supplemental Information
Launch Date | 2020 October | 2021 February |
Partnumber | T760 | |
Vertical Segment | Mobiles | Mobiles |
Positioning | Flagship | Mid-end |
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