Google Tensor G2 vs Samsung Exynos 2100

Let's find out which one of Google Tensor G2 and Samsung Exynos 2100 is of a more recent generation, and what segment it belongs to.

• Name
  Google Tensor G2 Samsung Exynos 2100
• Family
  Google Tensor Samsung Exynos
• CPU group
  Google Tensor G2 Samsung Exynos 2100
• Segment
  Mobile Mobile
• Generation
  2 5
• Predecessor
  Google Tensor --
• Successor
  -- Samsung Exynos 2200

In this block we are going to compare Google Tensor G2 vs Samsung Exynos 2100 by main technical specifications: number of cores and threads, base and maximum frequencies, process technology and cache size. The higher these specifications are, the more powerful your CPU will be.

• CPU Cores / Threads
  8 / 8 8 / 8
• Core architecture
  hybrid (Prime / big.LITTLE) hybrid (Prime / big.LITTLE)
• A-Core
  2x Cortex-X1 1x Cortex-X1
• B-Core
  2x Cortex-A78 3x Cortex-A78
• C-Core
  4x Cortex-A55 4x Cortex-A55
• Hyperthreading / SMT
  No No
• Overclocking
  No No
• A-Core Frequency
  2.85 GHz 2.90 GHz
• B-Core Frequency
  2.35 GHz 2.80 GHz
• C-Core Frequency
  1.80 GHz 2.20 GHz

Common specifications for integrated graphics cards in Google Tensor G2 and Samsung Exynos 2100 along with supported interfaces and connection options. This block has no effect on the final efficiency of the CPU.

• GPU name
  ARM Mali-G710 MP7 ARM Mali-G78 MP14
• GPU frequency
  0.90 GHz 0.76 GHz
• GPU (Turbo)
  No turbo No turbo
• Execution units
  7 14
• Shader
  0 224
• Max. displays
  1 1
• Generation
  Vallhall 3 Vallhall 2
• Direct X
  12 12
• Technology
  4 nm 5 nm
• Release date
  Q2/2021 Q4/2020

Let's compare the support of video codecs between Google Tensor G2 and Samsung Exynos 2100. Hardware support of video decoding by embedded graphics cards directly affects the speed and quality of rendering videos.

• h265 / HEVC (8 bit)
  Decode / Encode Decode / Encode
• h265 / HEVC (10 bit)
  Decode / Encode Decode / Encode
• h264
  Decode / Encode Decode / Encode
• VP8
  Decode / Encode Decode / Encode
• VP9
  Decode / Encode Decode / Encode
• AV1
  Decode Decode
• AVC
  Decode / Encode Decode / Encode
• VC-1
  Decode / Encode Decode / Encode
• JPEG
  Decode / Encode Decode / Encode

To choose the best model between Google Tensor G2 and Samsung Exynos 2100 you need to pay special attention to memory type, clock frequency, multi-channel features, and PCIe version. The higher these numbers are, the better your CPU will be. Keep in mind that the maximum memory and frequency may also depend on the model of the motherboard.

• Memory type
  LPDDR5-5500 LPDDR5-6400
• Max. Memory
  12 GB 12 GB
• Memory channels
  2 (Dual Channel) 4 (Quad Channel)
• Bandwidth
  53.0 GB/s 51.2 GB/s
• ECC
  No No
• AES-NI
  No No

Let's find out what TDP value would be better for Google Tensor G2 or Samsung Exynos 2100? The Thermal Design Power (TDP) indicates the maximum amount of heat that should be dissipated by the chip cooling system. However, the value of TDP gives only a rough indication of the real power consumption of the CPU.

Here you can find a comparison of 2nd and 3rd level cache sizes for Google Tensor G2 and Samsung Exynos 2100 CPUs along with a list of ISA extensions.

• Technology
  4 nm 5 nm
• Chip design
  Chiplet
• Socket
  N/A N/A
• L2-Cache
  8.00 MB --
• L3-Cache
  4.00 MB --
• Architecture
  G2 Cortex-X1/-A78/-A55
• Operating systems
  Android Android
• Virtualization
  None None
• Instruction set (ISA)
  ARMv8-A64 (64 bit) ARMv8-A64 (64 bit)
• Release date
  Q4/2022 Q1/2021