Google Tensor G2 vs Samsung Exynos 5433

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CPU comparison with benchmarks


Google Tensor G2 CPU1 vs CPU2 Samsung Exynos 5433
Google Tensor G2 Samsung Exynos 5433

CPU comparison

Google Tensor G2 or Samsung Exynos 5433 - 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 Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G2 was released in Q4/2022.

The Samsung Exynos 5433 has 8 cores with 8 threads and clocks with a maximum frequency of 1.90 GHz. The CPU supports up to GB of memory in 0 memory channels. The Samsung Exynos 5433 was released in Q3/2014.
Google Tensor (3) Family Samsung Exynos (46)
Google Tensor G2 (1) CPU group Samsung Exynos 5433 (1)
2 Generation 1
G2 Architecture Cortex-A57 / Cortex-A53
Mobile Segment Mobile
Google Tensor Predecessor --
-- Successor --

CPU Cores and Base Frequency

The Google Tensor G2 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor G2 is 2.85 GHz while the Samsung Exynos 5433 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Samsung Exynos 5433 is at 1.90 GHz.

Google Tensor G2 Characteristic Samsung Exynos 5433
8 Cores 8
8 Threads 8
hybrid (Prime / big.LITTLE) Core architecture hybrid (big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.85 GHz
2x Cortex-X1
A-Core 1.90 GHz
4x Cortex-A57
2.35 GHz
2x Cortex-A78
B-Core 1.30 GHz
4x Cortex-A53
1.80 GHz
4x Cortex-A55
C-Core --

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.

Google Tensor G2 Characteristic Samsung Exynos 5433
Google Tensor AI AI hardware --
Google Edge TPU @ 4 TOPS AI specifications --

Internal Graphics

The Google Tensor G2 or Samsung Exynos 5433 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-G710 MP7 GPU ARM Mali-T760 MP6
0.90 GHz GPU frequency 0.70 GHz
-- GPU (Turbo) 0.70 GHz
Vallhall 3 GPU Generation Midgard 3
4 nm Technology 28nm
1 Max. displays 2
7 Compute units 6
-- Shader 96
No Hardware Raytracing No
No Frame Generation No
-- Max. GPU Memory --
12 DirectX Version 11

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-G710 MP7 GPU ARM Mali-T760 MP6
Decode / Encode Codec h265 / HEVC (8 bit) No
Decode / Encode Codec h265 / HEVC (10 bit) No
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec VP9 No
Decode / Encode Codec VP8 Decode / Encode
Decode Codec AV1 No
Decode / Encode Codec AVC No
Decode / Encode Codec VC-1 No
Decode / Encode Codec JPEG No

Memory & PCIe

The Google Tensor G2 can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The Samsung Exynos 5433 supports up to GB of memory in 0 memory channels and achieves a memory bandwidth of up to --.

Google Tensor G2 Characteristic Samsung Exynos 5433
LPDDR5-5500 Memory LPDDR3e-1066
12 GB Max. Memory
2 (Dual Channel) Memory channels 0
53.0 GB/s Max. Bandwidth --
No ECC No
8.00 MB L2 Cache 2.25 MB
4.00 MB L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the Google Tensor G2 is 10 W, while the Samsung Exynos 5433 has a TDP of --. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Google Tensor G2 Characteristic Samsung Exynos 5433
10 W TDP (PL1 / PBP) --
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Google Tensor G2 is manufactured in 4 nm and has 12.00 MB cache. The Samsung Exynos 5433 is manufactured in 20 nm and has a 2.25 MB cache.

Google Tensor G2 Characteristic Samsung Exynos 5433
4 nm Technology 20 nm
Chiplet Chip design Unknown
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
Q4/2022 Release date Q3/2014
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Google Tensor G2 to help other visitors make their purchasing decisions. The average rating is 4.1 stars (16 ratings). Rate now:
Here you can rate the Samsung Exynos 5433 to help other visitors make their purchasing decisions. The average rating is 0 stars (0 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 1 CPU benchmarks
Google Tensor G2 (100%)
Samsung Exynos 5433 (23%)
⌀ Multi core performance in 1 CPU benchmarks
Google Tensor G2 (100%)
Samsung Exynos 5433 (25%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (100%)
Samsung Exynos 5433 Samsung Exynos 5433
8C 8T @ 1.90 GHz
250 (23%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (100%)
Samsung Exynos 5433 Samsung Exynos 5433
8C 8T @ 1.90 GHz
798 (25%)

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.
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (100%)
Samsung Exynos 5433 Samsung Exynos 5433
ARM Mali-T760 MP6 @ 0.70 GHz
143 (20%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (100%)
Samsung Exynos 5433 Samsung Exynos 5433
8C 8T @ 1.90 GHz
0 (0%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (100%)
Samsung Exynos 5433 Samsung Exynos 5433
8C 8T @ 1.90 GHz
0 (0%)

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.
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (100%)
Samsung Exynos 5433 Samsung Exynos 5433
8C 8T @ 1.90 GHz
0 (0%)

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).
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)
Samsung Exynos 5433 Samsung Exynos 5433
8C 8T @ 1.90 GHz
0 (0%)

Devices using this processor

Google Tensor G2 Samsung Exynos 5433
Google Pixel 7
Google Pixel 7 Pro
Unknown

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