HiSilicon Kirin 985 5G vs Unisoc Tiger T710
The HiSilicon Kirin 985 5G and the Unisoc Tiger T710 are two processors with different specifications but are used in similar devices. Let's compare them based on their specifications.
Starting with the HiSilicon Kirin 985 5G, it features an architecture that includes 1x 2.58 GHz – Cortex-A76, 3x 2.4 GHz – Cortex-A76, and 4x 1.84 GHz – Cortex-A55 cores. This octa-core configuration provides a good balance between performance and power efficiency. The processor is built on a 7 nm lithography process, which helps in achieving higher performance with better power efficiency.
In terms of instruction set, the HiSilicon Kirin 985 5G supports ARMv8.2-A. This ensures compatibility with a wide range of software applications and operating systems. It also has a TDP (Thermal Design Power) of 6 Watts, indicating that it operates within a low power envelope.
One of the notable features of the HiSilicon Kirin 985 5G is its Neural Processing capabilities. It uses the Ascend D110 Lite and Ascend D100 Tiny neural processors, both based on the HUAWEI Da Vinci Architecture. This enables advanced AI processing tasks and enhances the overall performance and efficiency of the processor.
Moving on to the Unisoc Tiger T710, it has an architecture with 4x 1.8 GHz – Cortex-A75 and 4x 1.8 GHz – Cortex-A55 cores. This configuration offers a smooth and reliable performance for a variety of tasks. The processor is built on a 12 nm lithography process, which is slightly less advanced compared to the Kirin 985 5G.
Similar to the Kirin 985 5G, the Unisoc Tiger T710 supports ARMv8.2-A instruction set, ensuring compatibility with various software applications. It also features a dual NPU (Neural Processing Unit), which helps in executing AI tasks efficiently.
In summary, the HiSilicon Kirin 985 5G and the Unisoc Tiger T710 are both octa-core processors with similar instruction sets. However, they differ in terms of architecture, lithography, and neural processing capabilities. The Kirin 985 5G, with its advanced Cortex-A76 cores and 7 nm lithography, offers a more powerful and efficient performance. On the other hand, the Tiger T710, with its Cortex-A75 cores and dual NPU, provides a reliable and efficient processing solution. The choice between these processors would depend on the specific requirements of the device and the intended usage.
Starting with the HiSilicon Kirin 985 5G, it features an architecture that includes 1x 2.58 GHz – Cortex-A76, 3x 2.4 GHz – Cortex-A76, and 4x 1.84 GHz – Cortex-A55 cores. This octa-core configuration provides a good balance between performance and power efficiency. The processor is built on a 7 nm lithography process, which helps in achieving higher performance with better power efficiency.
In terms of instruction set, the HiSilicon Kirin 985 5G supports ARMv8.2-A. This ensures compatibility with a wide range of software applications and operating systems. It also has a TDP (Thermal Design Power) of 6 Watts, indicating that it operates within a low power envelope.
One of the notable features of the HiSilicon Kirin 985 5G is its Neural Processing capabilities. It uses the Ascend D110 Lite and Ascend D100 Tiny neural processors, both based on the HUAWEI Da Vinci Architecture. This enables advanced AI processing tasks and enhances the overall performance and efficiency of the processor.
Moving on to the Unisoc Tiger T710, it has an architecture with 4x 1.8 GHz – Cortex-A75 and 4x 1.8 GHz – Cortex-A55 cores. This configuration offers a smooth and reliable performance for a variety of tasks. The processor is built on a 12 nm lithography process, which is slightly less advanced compared to the Kirin 985 5G.
Similar to the Kirin 985 5G, the Unisoc Tiger T710 supports ARMv8.2-A instruction set, ensuring compatibility with various software applications. It also features a dual NPU (Neural Processing Unit), which helps in executing AI tasks efficiently.
In summary, the HiSilicon Kirin 985 5G and the Unisoc Tiger T710 are both octa-core processors with similar instruction sets. However, they differ in terms of architecture, lithography, and neural processing capabilities. The Kirin 985 5G, with its advanced Cortex-A76 cores and 7 nm lithography, offers a more powerful and efficient performance. On the other hand, the Tiger T710, with its Cortex-A75 cores and dual NPU, provides a reliable and efficient processing solution. The choice between these processors would depend on the specific requirements of the device and the intended usage.
CPU cores and architecture
Architecture | 1x 2.58 GHz – Cortex-A76 3x 2.4 GHz – Cortex-A76 4x 1.84 GHz – Cortex-A55 |
4x 1.8 GHz – Cortex-A75 4x 1.8 GHz – Cortex-A55 |
Number of cores | 8 | 8 |
Instruction Set | ARMv8.2-A | ARMv8.2-A |
Lithography | 7 nm | 12 nm |
TDP | 6 Watt | |
Neural Processing | Ascend D110 Lite + Ascend D100 Tiny, HUAWEI Da Vinci Architecture | Dual NPU |
Memory (RAM)
Max amount | up to 12 GB | up to 8 GB |
Memory type | LPDDR4X | LPDDR4X |
Memory frequency | 2133 MHz | 1866 MHz |
Memory-bus | 4x16 bit |
Storage
Storage specification | UFS 3.0 | UFS 2.1 |
Graphics
GPU name | Mali-G77 MP8 | Imagination PowerVR GM9446 |
GPU Architecture | Valhall | Rogue |
GPU frequency | 700 MHz | 800 MHz |
Execution units | 8 | |
Shaders | 128 | |
DirectX | 12 | |
OpenCL API | 2.1 | 4.0 |
OpenGL API | ES 3.2 | ES 3.2 |
Vulkan API | 1.2 | 1.1 |
Camera, Video, Display
Max screen resolution | 3120x1440 | |
Max camera resolution | 1x 48MP, 2x 20MP | 1x 24MP |
Max Video Capture | 4K@30fp | 4K@30fps |
Video codec support | H.264 (AVC) H.265 (HEVC) VP8 VP9 |
H.264 (AVC) H.265 (HEVC) VP8 VP9 |
Wireless
4G network | Yes | Yes |
5G network | Yes | Yes |
Peak Download Speed | 1.4 Gbps | 0.3 Gbps |
Peak Upload Speed | 0.2 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 2 | 2019 |
Partnumber | Hi6290 | T710 |
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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