Google Tensor
Samsung Exynos 2200
Select video card 1
Select video card 2

Google Tensor vs Samsung Exynos 2200. Specifications, performance, tests

Overall score
star star star star star
Released
Q4/2021
Google Tensor
Google Tensor
Released
Q1/2022
Overall score
star star star star star
Samsung Exynos 2200
Samsung Exynos 2200

Compare Google Tensor VS Samsung Exynos 2200. Which processor delivers superior performance?

In this detailed comparison, we evaluate the specifications and benchmarks of both processors to determine the best choice for your needs. We analyze their core counts, maximum frequencies, and power consumption.

Google Tensor boasts a maximum frequency of 2.80 GHz GHz. 8 / 8 cores that enhance multitasking capabilities.With a power consumption of 10 W W, it ensures efficient performance.Released in Q4/2021, it incorporates the latest technology for optimal efficiency.

Samsung Exynos 2200 features a maximum frequency of 2.80 GHz GHz. 8 / 8 cores designed for high-performance tasks.Launched in Q1/2022, it is built to handle demanding applications.

Differences

Google Tensor Reasons to consider
Google Tensor
Report a bug
  • Place in the overall ranking

    (based on several benchmarks)

    659 left arrow score

Positions in all rankings

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

  • Geekbench 5, 64bit (Single-Core)
    496 place
  • Geekbench 5, 64bit (Multi-Core)
    810 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    118 place
  • AnTuTu 9 Benchmark
    10 place
  • Place in the overall ranking

    (based on several benchmarks)

    569 left arrow score

Positions in all rankings

Common positions Samsung Exynos 2200 CPU in popular benchmarks, for comparison with other models.

  • Geekbench 5, 64bit (Single-Core)
    365 place
  • Geekbench 5, 64bit (Multi-Core)
    665 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    222 place
  • AnTuTu 9 Benchmark
    6 place

Specifications

Technical data
Google Tensor Google Tensor
Samsung Exynos 2200 Samsung Exynos 2200
CPU family and group

Comprehensive background on the processors being compared, detailing their series, generation, and targeted market segment.

  • Family
    Google Tensor left arrow Samsung Exynos
  • CPU group
    Google Tensor left arrow Samsung Exynos 2200
  • Segment
    Mobile left arrow Mobile
  • Generation
    1 left arrow 6
  • Predecessor
    -- left arrow Samsung Exynos 2100
CPU Technical specs

Essential parameters including the number of cores, threads, base and turbo frequencies, and cache size. These metrics provide insight into the processor’s speed—higher values generally indicate better performance.

  • CPU Cores / Threads
    8 / 8 left arrow 8 / 8
  • Core architecture
    hybrid (Prime / big.LITTLE) left arrow hybrid (Prime / big.LITTLE)
  • A-Core
    2x Cortex-X1 left arrow 1x Cortex-X2
  • B-Core
    2x Cortex-A76 left arrow 3x Cortex-A710
  • C-Core
    4x Cortex-A55 left arrow 4x Cortex-A510
  • Overclocking
    No left arrow No
IGPU

The integrated graphics (iGPU) do not influence the CPU performance significantly; they serve as a substitute for a dedicated graphics card in the absence of one or are utilized in mobile devices.

  • GPU name
    ARM Mali-G78 MP20 left arrow Samsung Xclipse 920 (RDNA 2)
  • GPU frequency
    0.76 GHz left arrow 1.30 GHz
  • GPU (Turbo)
    No turbo left arrow 1.30 GHz
  • Execution units
    20 left arrow 24
  • Shader
    320 left arrow 384
  • Max. GPU Memory
    -- left arrow 4 GB
  • Max. displays
    1 left arrow 0
  • Generation
    Vallhall 2 left arrow 1
  • Direct X
    12 left arrow 12
  • Technology
    5 nm left arrow 4 nm
  • Release date
    Q4/2021 left arrow Q1/2022
Hardware codec support

This section details the built-in codecs used for encoding and decoding media content, which significantly enhance processing speed and efficiency.

  • h265 / HEVC (8 bit)
    Decode / Encode left arrow Decode / Encode
  • h265 / HEVC (10 bit)
    Decode / Encode left arrow Decode / Encode
  • h264
    Decode / Encode left arrow Decode / Encode
  • VP8
    Decode / Encode left arrow No
  • VP9
    Decode / Encode left arrow Decode / Encode
  • AV1
    Decode left arrow Decode
  • AVC
    Decode / Encode left arrow No
  • VC-1
    Decode / Encode left arrow No
  • JPEG
    Decode / Encode left arrow No
Memory specs & PCI

Overview of the types and quantities of RAM supported by Samsung Exynos 2200 and Google Tensor. The supported memory frequencies may vary depending on the motherboard configuration.

  • Memory type
    LPDDR5-5500 left arrow LPDDR5-6400
  • Max. Memory
    12 GB left arrow 12 GB
  • Memory channels
    2 left arrow 4
  • ECC
    No left arrow No
  • AES-NI
    No left arrow No
Thermal Management

Analyze the TDP (Thermal Design Power) requirements of Google Tensor and Samsung Exynos 2200 to make an informed decision on the appropriate cooling system. Remember that TDP refers to thermal watts, not electrical watts.

  • TDP (PL1)
    10 W left arrow
Technologies and extensions

Information on architecture, interfaces, and additional instructions supported by Google Tensor and Samsung Exynos 2200, including virtual machine technologies and fabrication processes.

  • Instruction set (ISA)
    ARMv8-A64 (64 bit) left arrow ARMv9-A64 (64 bit)
  • L2-Cache
    8.00 MB left arrow --
  • Architecture
    left arrow Cortex-X2/-A710/-A510
  • Technology
    5 nm left arrow 4 nm
  • Virtualization
    None left arrow None
  • Socket
    N/A left arrow N/A
  • Release date
    Q4/2021 left arrow Q1/2022
  • Part Number
    -- left arrow SM-S908B

Benchmarks

Performance tests CPUs

By analyzing the results from various benchmarks, you can gain a clearer understanding of the performance differences between Google Tensor and Samsung Exynos 2200.

Compare the synthetic benchmark scores and make an informed decision on the best processor for your needs!

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
1038
Google Tensor
1186
Samsung Exynos 2200
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
2810
Google Tensor
3586
Samsung Exynos 2200
iGPU - FP32 Performance (Single-precision GFLOPS)
The performance of the iGPU - the internal GPU in games
1943
Google Tensor
1422
Samsung Exynos 2200

Latest comparisons