HiSilicon Kirin 930 vs Unisoc Tanggula T760 5G
The HiSilicon Kirin 930 and the Unisoc Tanggula T760 5G are two processors with distinct specifications.
Starting with the HiSilicon Kirin 930, it features a combination of Cortex-A53 CPU cores. There are four cores clocked at 2 GHz and another four cores at 1.5 GHz. With a total of eight cores, this processor offers a balanced performance. It utilizes the ARMv8-A instruction set and is designed using a 28 nm lithography process. The Kirin 930 incorporates around 1000 million transistors, allowing for efficient processing. Furthermore, it operates within a 5 Watt thermal design power (TDP) envelope.
Conversely, the Unisoc Tanggula T760 5G presents a different architecture. It consists of four high-performance Cortex-A76 cores clocked at 2.2 GHz and four energy-efficient Cortex-A55 cores running at 1.8 GHz. This arrangement balances power and efficiency. The processor supports the ARMv8.2-A instruction set and boasts a 6 nm lithography, which enables improved energy efficiency and performance. With a TDP of 5 Watts, it matches the Kirin 930's power consumption. Moreover, the Tanggula T760 5G features a Neural Processing Unit (NPU), which enhances its ability to handle AI and machine learning tasks.
In comparison, the primary differences between these two processors lie in their CPU architectures, lithography processes, and the inclusion of an NPU in the Tanggula T760 5G. The Kirin 930 utilizes Cortex-A53 cores and a 28 nm lithography process, while the Tanggula T760 5G employs Cortex-A76 and Cortex-A55 cores with a more advanced 6 nm lithography. Additionally, the Tanggula T760 5G's NPU provides an advantage in handling AI workloads.
Ultimately, both processors have their strengths and cater to different needs. The Kirin 930 offers a balanced performance, while the Tanggula T760 5G emphasizes power efficiency and AI capabilities. It is crucial to consider these specifications when selecting a processor for a specific use case or device.
Starting with the HiSilicon Kirin 930, it features a combination of Cortex-A53 CPU cores. There are four cores clocked at 2 GHz and another four cores at 1.5 GHz. With a total of eight cores, this processor offers a balanced performance. It utilizes the ARMv8-A instruction set and is designed using a 28 nm lithography process. The Kirin 930 incorporates around 1000 million transistors, allowing for efficient processing. Furthermore, it operates within a 5 Watt thermal design power (TDP) envelope.
Conversely, the Unisoc Tanggula T760 5G presents a different architecture. It consists of four high-performance Cortex-A76 cores clocked at 2.2 GHz and four energy-efficient Cortex-A55 cores running at 1.8 GHz. This arrangement balances power and efficiency. The processor supports the ARMv8.2-A instruction set and boasts a 6 nm lithography, which enables improved energy efficiency and performance. With a TDP of 5 Watts, it matches the Kirin 930's power consumption. Moreover, the Tanggula T760 5G features a Neural Processing Unit (NPU), which enhances its ability to handle AI and machine learning tasks.
In comparison, the primary differences between these two processors lie in their CPU architectures, lithography processes, and the inclusion of an NPU in the Tanggula T760 5G. The Kirin 930 utilizes Cortex-A53 cores and a 28 nm lithography process, while the Tanggula T760 5G employs Cortex-A76 and Cortex-A55 cores with a more advanced 6 nm lithography. Additionally, the Tanggula T760 5G's NPU provides an advantage in handling AI workloads.
Ultimately, both processors have their strengths and cater to different needs. The Kirin 930 offers a balanced performance, while the Tanggula T760 5G emphasizes power efficiency and AI capabilities. It is crucial to consider these specifications when selecting a processor for a specific use case or device.
CPU cores and architecture
Architecture | 4x 2 GHz – Cortex-A53 4x 1.5 GHz – Cortex-A53 |
4x 2.2 GHz – Cortex-A76 4x 1.8 GHz – Cortex-A55 |
Number of cores | 8 | 8 |
Instruction Set | ARMv8-A | ARMv8.2-A |
Lithography | 28 nm | 6 nm |
Number of transistors | 1000 million | |
TDP | 5 Watt | 5 Watt |
Neural Processing | NPU |
Memory (RAM)
Max amount | up to 6 GB | up to 16 GB |
Memory type | LPDDR3 | LPDDR4X |
Memory frequency | 800 MHz | 2133 MHz |
Memory-bus | 2x32 bit | 4x16 bit |
Storage
Storage specification | UFS 2.0 | UFS 3.1 |
Graphics
GPU name | Mali-T628 MP4 | Mali-G57 MP6 |
GPU Architecture | Midgard | Valhall |
GPU frequency | 600 MHz | 850 MHz |
Execution units | 4 | 6 |
Shaders | 64 | 96 |
DirectX | 11 | 12 |
OpenCL API | 1.2 | 2.1 |
OpenGL API | ES 3.2 | |
Vulkan API | 1.0 | 1.2 |
Camera, Video, Display
Max screen resolution | 2560x1600 | 2160x1080 |
Max camera resolution | 1x 20MP | 1x 64MP, 2x 24MP |
Max Video Capture | 4K@30fps | FullHD@30fps |
Video codec support | H.264 (AVC) H.265 (HEVC) VP8 |
H.264 (AVC) H.265 (HEVC) |
Wireless
4G network | Yes | Yes |
5G network | Yes | Yes |
Peak Download Speed | 0.3 Gbps | 2.7 Gbps |
Peak Upload Speed | 0.05 Gbps | 1.5 Gbps |
Wi-Fi | 5 (802.11ac) | 5 (802.11ac) |
Bluetooth | 4.2 | 5.0 |
Satellite navigation | BeiDou GPS Galileo GLONASS |
BeiDou GPS Galileo GLONASS |
Supplemental Information
Launch Date | 2015 Quarter 2 | 2021 February |
Partnumber | Hi3630 | T760 |
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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