UNISOC T618 vs Google Tensor G2 Benchmark, comparison and differences


UNISOC T618		Google Tensor G2
CPU comparison UNISOC T618 or Google Tensor G2 - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results. The UNISOC T618 has 8 cores with 8 threads and clocks with a maximum frequency of 2.00 GHz. Up to GB of memory is supported in 2 memory channels. The UNISOC T618 was released in Q3/2019. The Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G2 was released in Q4/2022.

UNISOC 4G (10)	Family	Google Tensor (3)
UNISOC 4G 12nm (8)	CPU group	Google Tensor G2 (1)
0	Generation	2
--	Architecture	G2
Mobile	Segment	Mobile
--	Predecessor	Google Tensor
--	Successor	--

CPU Cores and Base Frequency The UNISOC T618 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the UNISOC T618 is 2.00 GHz while the Google Tensor G2 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor G2 is at 2.85 GHz.
UNISOC T618	Characteristic	Google Tensor G2
8	Cores	8
8	Threads	8
hybrid (big.LITTLE)	Core architecture	hybrid (Prime / big.LITTLE)
No	Hyperthreading	No
No	Overclocking ?	No
2.00 GHz 2x Cortex-A75	A-Core	2.85 GHz 2x Cortex-X1
2.00 GHz 6x Cortex-A55	B-Core	2.35 GHz 2x Cortex-A78
--	C-Core	1.80 GHz 4x Cortex-A55
Artificial Intelligence and Machine Learning Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor.
UNISOC T618	Characteristic	Google Tensor G2
--	AI hardware	Google Tensor AI
--	AI specifications	Google Edge TPU @ 4 TOPS

Internal Graphics The UNISOC T618 or Google Tensor G2 has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die.
ARM Mali-G52 MP2	GPU	ARM Mali-G710 MP7
0.85 GHz	GPU frequency	0.90 GHz
--	GPU (Turbo)	--
Bifrost 2	GPU Generation	Vallhall 3
16 nm	Technology	4 nm
2	Max. displays	1
2	Compute units	7
32	Shader	--
No	Hardware Raytracing	No
No	Frame Generation	No
--	Max. GPU Memory	--
12	DirectX Version	12

Hardware codec support A photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos.
ARM Mali-G52 MP2	GPU	ARM Mali-G710 MP7
Decode / Encode	Codec h265 / HEVC (8 bit)	Decode / Encode
Decode / Encode	Codec h265 / HEVC (10 bit)	Decode / Encode
Decode / Encode	Codec h264	Decode / Encode
Decode / Encode	Codec VP9	Decode / Encode
Decode / Encode	Codec VP8	Decode / Encode
No	Codec AV1	Decode
Decode / Encode	Codec AVC	Decode / Encode
Decode / Encode	Codec VC-1	Decode / Encode
Decode / Encode	Codec JPEG	Decode / Encode

Memory & PCIe The UNISOC T618 can use up to GB of memory in 2 memory channels. The maximum memory bandwidth is --. The Google Tensor G2 supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s.
UNISOC T618	Characteristic	Google Tensor G2
LPDDR4X-1866, LPDDR4-1866, LPDDR3-933	Memory	LPDDR5-5500
	Max. Memory	12 GB
2 (Dual Channel)	Memory channels	2 (Dual Channel)
--	Max. Bandwidth	53.0 GB/s
No	ECC	No
--	L2 Cache	8.00 MB
--	L3 Cache	4.00 MB
--	PCIe version	--
--	PCIe lanes	--
--	PCIe Bandwidth	--
Thermal Management The thermal design power (TDP for short) of the UNISOC T618 is --, while the Google Tensor G2 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.
UNISOC T618	Characteristic	Google Tensor G2
--	TDP (PL1 / PBP)	10 W
--	TDP (PL2)	--
--	TDP up	--
--	TDP down	--
--	Tjunction max.	--
Technical details The UNISOC T618 is manufactured in 12 nm and has 0.00 MB cache. The Google Tensor G2 is manufactured in 4 nm and has a 12.00 MB cache.
UNISOC T618	Characteristic	Google Tensor G2
12 nm	Technology	4 nm
Unknown	Chip design	Chiplet
Armv8-A (64 bit)	Instruction set (ISA)	Armv8-A (64 bit)
--	ISA extensions	--
--	Socket	--
None	Virtualization	None
No	AES-NI	No
Android	Operating systems	Android
Q3/2019	Release date	Q4/2022
--	Release price	--

show more data		show more data

UNISOC T618 8C 8T @ 2.00 GHz buy now on Amazon and save! Google Tensor G2 8C 8T @ 2.85 GHz buy now on Amazon and save!

Rate these processors

Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks

UNISOC T618 (35%)

Google Tensor G2 (100%)

⌀ Multi core performance in 2 CPU benchmarks

UNISOC T618 (45%)

Google Tensor G2 (100%)

Geekbench 5, 64bit (Single-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.


	UNISOC T618 8C 8T @ 2.00 GHz	385 (36%)
	Google Tensor G2 8C 8T @ 2.85 GHz	1068 (100%)

Geekbench 5, 64bit (Multi-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.


	UNISOC T618 8C 8T @ 2.00 GHz	1418 (45%)
	Google Tensor G2 8C 8T @ 2.85 GHz	3149 (100%)

Geekbench 6 (Single-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The single-core benchmark only evaluates the performance of the fastest CPU core, the number of CPU cores in a processor is irrelevant here.


	UNISOC T618 8C 8T @ 2.00 GHz	464 (33%)
	Google Tensor G2 8C 8T @ 2.85 GHz	1426 (100%)

Geekbench 6 (Multi-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The multi-core benchmark evaluates the performance of all of the processor's CPU cores. Virtual thread improvements such as AMD SMT or Intel's Hyper-Threading have a positive impact on the benchmark result.


	UNISOC T618 8C 8T @ 2.00 GHz	1513 (45%)
	Google Tensor G2 8C 8T @ 2.85 GHz	3342 (100%)

iGPU - FP32 Performance (Single-precision GFLOPS)

The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.


	UNISOC T618 ARM Mali-G52 MP2 @ 0.85 GHz	54 (8%)
	Google Tensor G2 ARM Mali-G710 MP7 @ 0.90 GHz	700 (100%)

AnTuTu 9 Benchmark

The AnTuTu 9 benchmark is very well suited to measuring the performance of a smartphone. AnTuTu 9 is quite heavy on 3D graphics and can now also use the "Metal" graphics interface. In AnTuTu, memory and UX (user experience) are also tested by simulating browser and app usage. AnTuTu version 9 can compare any ARM CPU running on Android or iOS. Devices may not be directly comparable when benchmarked on different operating systems.

In the AnTuTu 9 benchmark, the single-core performance of a processor is only slightly weighted. The rating is made up of the multi-core performance of the processor, the speed of the working memory, and the performance of the internal graphics.


	UNISOC T618 8C 8T @ 2.00 GHz	0 (0%)
	Google Tensor G2 8C 8T @ 2.85 GHz	789419 (100%)

Performance for Artificial Intelligence (AI) and Machine Learning (ML)

Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).


	UNISOC T618 8C 8T @ 2.00 GHz	0 (0%)
	Google Tensor G2 8C 8T @ 2.85 GHz	4 (100%)


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UNISOC T618 vs Google Tensor G2

CPU comparison with benchmarks

CPU comparison

CPU Cores and Base Frequency

Artificial Intelligence and Machine Learning

Internal Graphics

Hardware codec support

Memory & PCIe

Thermal Management

Technical details