UNISOC T606
Google Tensor
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UNISOC T606 vs Google Tensor. Specifications, performance, tests

User rating
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Released
Q3/2021
UNISOC T606
UNISOC T606
Released
Q4/2021
User rating
star star star star star
Google Tensor
Google Tensor

What's the best choice UNISOC T606 or Google Tensor? Which processor is faster?

We have prepared a comparison to help you choose the best processor. Compare their specifications and benchmarks.

UNISOC T606 has a base frequency of 1.60 GHz. 8 / 8 CPU Cores / Threads. Released in Q3/2021.

Google Tensor has a base frequency of 2.80 GHz. 8 / 8 CPU Cores / Threads. Stated TDP / base power 10 W. Released in Q4/2021.

Differences

UNISOC T606 Reasons to consider
UNISOC T606
Report a bug

Positions in all rankings

Common positions UNISOC T606 CPU in popular benchmarks, for comparison with other models.

  • Geekbench 5, 64bit (Single-Core)
    1163 place
  • Geekbench 5, 64bit (Multi-Core)
    980 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    1555 place
  • Geekbench 6 (Single-Core)
    71 place
  • Geekbench 6 (Multi-Core)
    66 place
Google Tensor Reasons to consider
Google Tensor
Report a bug
  • Higher clock speed

    Around 75% better clock speed

    2.80 GHz left arrow 1.60 GHz

Positions in all rankings

Common positions Google Tensor CPU in popular benchmarks, for comparison with other models.

  • Geekbench 5, 64bit (Single-Core)
    385 place
  • Geekbench 5, 64bit (Multi-Core)
    620 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    104 place

Specifications

Technical data
UNISOC T606 UNISOC T606
Google Tensor Google Tensor
CPU family and group

Background information about the processors being compared, series, generation and market segment.

  • CPU group
    UNISOC 4G 12nm left arrow Google Tensor
  • Family
    UNISOC 4G left arrow Google Tensor
  • Generation
    0 left arrow 1
  • Segment
    Mobile left arrow Mobile
CPU Technical specs

Core counts, threads, cache and clock modes describe the CPU configuration. Performance depends on the workload and comparable measured results.

  • A-Core
    2x Cortex-A75 left arrow 2x Cortex-X1
  • A-Core Frequency
    1.6 GHz left arrow -
  • B-Core
    6x Cortex-A55 left arrow 2x Cortex-A76
  • B-Core Frequency
    1.6 GHz left arrow -
  • Core architecture
    hybrid (big.LITTLE) left arrow hybrid (Prime / big.LITTLE)
  • CPU Cores
    8 left arrow 8
  • CPU Threads
    8 left arrow 8
  • Hyperthreading / SMT
    No left arrow No
  • Overclocking
    No left arrow No
  • Base Frequency
    - left arrow 2.8 GHz
  • C-Core
    - left arrow 4x Cortex-A55
  • Turbo Frequency (1 Core)
    - left arrow No turbo
  • Turbo Frequency (8 Cores)
    - left arrow No turbo
IGPU

Internal Graphics does not affect the performance of the CPU, performs the work of the graphics card in its absence or on mobile devices.

  • DirectX Version
    12 left arrow 12
  • Execution units
    2 left arrow 20
  • Generation
    Vallhall 1 left arrow Vallhall 2
  • GPU Frequency
    650 MHz left arrow 760 MHz
  • GPU name
    ARM Mali-G57 MP1 left arrow ARM Mali-G78 MP20
  • GPU Turbo
    No turbo left arrow No turbo
  • Max. displays
    2 left arrow 1
  • Max. GPU Memory
    4 GB left arrow -
  • Release date
    Q2/2020 left arrow Q4/2021
  • Shader
    32 left arrow 320
  • Technology
    7 nm left arrow 5 nm
Hardware codec support

Built-in codecs used to encode and decode content. Significantly speeds up the required operations.

  • AV1
    Decode left arrow Decode
  • H.264 / AVC
    Decode / Encode left arrow Decode / Encode
  • h265 / HEVC (8 bit)
    Decode / Encode left arrow Decode / Encode
  • h265 / HEVC (10 bit)
    Decode / Encode left arrow Decode / Encode
  • JPEG
    Decode / Encode left arrow Decode / Encode
  • VC-1
    Decode / Encode left arrow Decode / Encode
  • VP8
    Decode / Encode left arrow Decode / Encode
  • VP9
    Decode / Encode left arrow Decode / Encode
Memory specs & PCI

Types, channel quantity of RAM supported by Google Tensor and UNISOC T606. Depending on the motherboards, higher or lower memory frequencies may be supported.

  • ECC
    No left arrow No
  • Max. Memory
    - left arrow 12 GB
  • Memory channels
    0 left arrow 2
  • Memory type
    LPDDR4X-1600 left arrow LPDDR5-5500
Encryption
  • AES-NI
    No left arrow No
Thermal Management

Compare the TDP requirements of TDP UNISOC T606 and Google Tensor Power specifications describe different manufacturer limits. TDP, base power and maximum turbo power are separate values; they do not establish measured system consumption.

  • TDP (PL1, legacy label)
    - left arrow 10 W
Technologies and extensions

Architecture, interfaces, additional instructions supported by UNISOC T606 and Google Tensor, virtual machine technologies and process technology.

  • Documents
    Technical data sheet left arrow -
  • Instruction set (ISA)
    ARMv8-A64 (64 bit) left arrow ARMv8-A64 (64 bit)
  • L2-Cache
    - left arrow 8 MB
  • Operating systems
    Android left arrow -
  • Release date
    Q3/2021 left arrow Q4/2021
  • Technology
    12 nm left arrow 5 nm
  • Virtualization
    None left arrow None

Benchmarks

Performance tests CPUs

Based on the results of several benchmarks, you can more accurately estimate the difference in performance between UNISOC T606 and Google Tensor.

Compare the synthetic test values and choose the best processor!

These are saved results from the earlier catalog. Measurement dates and test configurations were not recorded. Models with no comparable results are omitted.

Recent models: test results with identified primary sources — Cinebench R23 · Cinebench R20 · Cinebench R15 · Cinebench 2026 · RandomX benchmark

Geekbench 5, 64bit (Single-Core)
Geekbench 5 SC is a popular cross-platform performance test for desktop or mobile processors that uses system memory intensively

Higher values are better in this metric.

305.000000
UNISOC T606
1038.000000
Google Tensor
Geekbench 5, 64bit (Multi-Core)
Geekbench 5 MC is a popular cross-platform performance test for desktop or mobile processors that uses system memory intensively

Higher values are better in this metric.

1249.000000
UNISOC T606
2810.000000
Google Tensor
iGPU - FP32 Performance (Single-precision GFLOPS)
The performance of the iGPU - the internal GPU in games

Higher values are better in this metric.

83.000000
UNISOC T606
1943.000000
Google Tensor

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