Google Tensor G2
Samsung Exynos 2200
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Google Tensor G2 vs Samsung Exynos 2200. Specifications, performance, tests

User rating
star star star star star
Released
Q4/2022
Google Tensor G2
Google Tensor G2
Released
Q1/2022
User rating
star star star star star
Samsung Exynos 2200
Samsung Exynos 2200

What's the best choice Google Tensor G2 or Samsung Exynos 2200? Which processor is faster?

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

Google Tensor G2 has a base frequency of 2.85 GHz. 8 / 8 CPU Cores / Threads. Stated TDP / base power 10 W. Released in Q4/2022.

Samsung Exynos 2200 has a base frequency of 2.80 GHz. 8 / 8 CPU Cores / Threads. Released in Q1/2022.

Differences

Google Tensor G2 Reasons to consider
Google Tensor G2
Report a bug
  • Higher clock speed

    Around 2% better clock speed

    2.85 GHz left arrow 2.80 GHz

Positions in all rankings

Common positions Google Tensor G2 CPU in popular benchmarks, for comparison with other models.

  • Geekbench 5, 64bit (Single-Core)
    360 place
  • Geekbench 5, 64bit (Multi-Core)
    565 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    466 place

Positions in all rankings

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

  • Geekbench 5, 64bit (Single-Core)
    257 place
  • Geekbench 5, 64bit (Multi-Core)
    491 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    202 place

Specifications

Technical data
Google Tensor G2 Google Tensor G2
Samsung Exynos 2200 Samsung Exynos 2200
CPU family and group

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

  • CPU group
    Google Tensor G2 left arrow Samsung Exynos 2200
  • Family
    Google Tensor left arrow Samsung Exynos
  • Generation
    2 left arrow 6
  • Predecessor
    Google Tensor left arrow Samsung Exynos 2100
  • 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-X1 left arrow 1x Cortex-X2
  • A-Core Frequency
    2.85 GHz left arrow 2.8 GHz
  • B-Core
    2x Cortex-A78 left arrow 3x Cortex-A710
  • B-Core Frequency
    2.35 GHz left arrow 2.52 GHz
  • C-Core
    4x Cortex-A55 left arrow 4x Cortex-A510
  • C-Core Frequency
    1.8 GHz left arrow 1.82 GHz
  • Core architecture
    hybrid (Prime / 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
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
    7 left arrow 24
  • Generation
    Vallhall 3 left arrow 1
  • GPU Frequency
    900 MHz left arrow 1300 MHz
  • GPU name
    ARM Mali-G710 MP7 left arrow Samsung Xclipse 920 (RDNA 2)
  • GPU Turbo
    No turbo left arrow 1300 MHz
  • Max. displays
    1 left arrow 0
  • Max. GPU Memory
    - left arrow 4 GB
  • Release date
    Q2/2021 left arrow Q1/2022
  • Shader
    0 left arrow 384
  • Technology
    4 nm left arrow 4 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 Conflicting source values: Decode / Encode | No
  • 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 No
  • VC-1
    Decode / Encode left arrow No
  • VP8
    Decode / Encode left arrow No
  • VP9
    Decode / Encode left arrow Decode / Encode
Memory specs & PCI

Types, channel quantity of RAM supported by Samsung Exynos 2200 and Google Tensor G2. Depending on the motherboards, higher or lower memory frequencies may be supported.

  • ECC
    No left arrow No
  • Max. Memory
    12 GB left arrow 12 GB
  • Memory Bandwidth
    53 GB/s left arrow 51.2 GB/s
  • Memory channels
    2 (Dual Channel) left arrow 4
  • Memory type
    LPDDR5-5500 left arrow LPDDR5-6400
Encryption
  • AES-NI
    No left arrow No
Thermal Management

Compare the TDP requirements of TDP Google Tensor G2 and Samsung Exynos 2200 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)
    10 W left arrow -
Technologies and extensions

Architecture, interfaces, additional instructions supported by Google Tensor G2 and Samsung Exynos 2200, virtual machine technologies and process technology.

  • Architecture
    G2 left arrow Cortex-X2/-A710/-A510
  • Chip design
    Chiplet left arrow -
  • Instruction set (ISA)
    ARMv8-A64 (64 bit) left arrow ARMv9-A64 (64 bit)
  • L2-Cache
    8 MB left arrow -
  • L3-Cache
    4 MB left arrow -
  • Operating systems
    Android left arrow Android
  • Part Number
    - left arrow SM-S908B
  • Release date
    Q4/2022 left arrow Q1/2022
  • Technology
    4 nm left arrow 4 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 Google Tensor G2 and Samsung Exynos 2200.

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.

1068.000000
Google Tensor G2
1186.000000
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

Higher values are better in this metric.

3149.000000
Google Tensor G2
3586.000000
Samsung Exynos 2200
iGPU - FP32 Performance (Single-precision GFLOPS)
The performance of the iGPU - the internal GPU in games

Higher values are better in this metric.

700.000000
Google Tensor G2
1422.000000
Samsung Exynos 2200

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