Raspberry Pi 3 B+ (Broadcom BCM2837B0) vs Google Tensor G2

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CPU comparison with benchmarks


Raspberry Pi 3 B+ (Broadcom BCM2837B0) CPU1 vs CPU2 Google Tensor G2
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Google Tensor G2

CPU comparison

In this CPU comparison, we compare the Raspberry Pi 3 B+ (Broadcom BCM2837B0) and the Google Tensor G2 and use benchmarks to check which processor is faster.

We compare the Raspberry Pi 3 B+ (Broadcom BCM2837B0) 4 core processor released in 02/2016 with the Google Tensor G2 which has 8 CPU cores and was introduced in Q4/2022.
Broadcom BCM (3) Family Google Tensor (3)
Broadcom BCM2837B0 (1) CPU group Google Tensor G2 (1)
3 Generation 2
Cortex-A15 Architecture G2
Desktop / Server Segment Mobile
-- Predecessor Google Tensor
Raspberry Pi 4 B (Broadcom BCM2711) Successor --

CPU Cores and Base Frequency

The Raspberry Pi 3 B+ (Broadcom BCM2837B0) is a 4 core processor with a clock frequency of 1.40 GHz. The processor can compute 4 threads at the same time. The Google Tensor G2 clocks with 2.85 GHz, has 8 CPU cores and can calculate 8 threads in parallel.

Raspberry Pi 3 B+ (Broadcom BCM2837B0) Characteristic Google Tensor G2
4 Cores 8
4 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
Yes Overclocking ? No
1.40 GHz
4x Cortex-A53
A-Core 2.85 GHz
2x Cortex-X1
-- B-Core 2.35 GHz
2x Cortex-A78
-- C-Core 1.80 GHz
4x Cortex-A55

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.

Raspberry Pi 3 B+ (Broadcom BCM2837B0) Characteristic Google Tensor G2
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 4 TOPS

Internal Graphics

Graphics (iGPU) integrated into the processor not only enable image output without having to rely on a dedicated graphics solution, but can also efficiently accelerate video playback.

Broadcom VideoCore 5 GPU ARM Mali-G710 MP7
0.40 GHz GPU frequency 0.90 GHz
-- GPU (Turbo) --
5 GPU Generation Vallhall 3
40 nm Technology 4 nm
2 Max. displays 1
2 Compute units 7
24 Shader --
No Hardware Raytracing No
No Frame Generation No
1 GB Max. GPU Memory --
-- DirectX Version 12

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.

Broadcom VideoCore 5 GPU ARM Mali-G710 MP7
No Codec h265 / HEVC (8 bit) Decode / Encode
No Codec h265 / HEVC (10 bit) Decode / Encode
Decode / Encode Codec h264 Decode / Encode
No Codec VP9 Decode / Encode
Decode Codec VP8 Decode / Encode
No Codec AV1 Decode
Decode Codec AVC Decode / Encode
Decode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

Up to 1 GB of memory in a maximum of 1 memory channels is supported by the Raspberry Pi 3 B+ (Broadcom BCM2837B0), while the Google Tensor G2 supports a maximum of 12 GB of memory with a maximum memory bandwidth of 53.0 GB/s enabled.

Raspberry Pi 3 B+ (Broadcom BCM2837B0) Characteristic Google Tensor G2
Memory LPDDR5-5500
1 GB Max. Memory 12 GB
1 (Single Channel) Memory channels 2 (Dual Channel)
3.6 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
0.50 MB L2 Cache 8.00 MB
-- L3 Cache 4.00 MB
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The Raspberry Pi 3 B+ (Broadcom BCM2837B0) has a TDP of 7 W. The TDP of the Google Tensor G2 is 10 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution.

Raspberry Pi 3 B+ (Broadcom BCM2837B0) Characteristic Google Tensor G2
7 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
4 W TDP down --
-- Tjunction max. --

Technical details

The Raspberry Pi 3 B+ (Broadcom BCM2837B0) has 0.50 MB cache and is manufactured in 40 nm. The cache of Google Tensor G2 is at 12.00 MB. The processor is manufactured in 4 nm.

Raspberry Pi 3 B+ (Broadcom BCM2837B0) Characteristic Google Tensor G2
40 nm Technology 4 nm
Monolithic Chip design Chiplet
Armv8-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
Linux Operating systems Android
02/2016 Release date Q4/2022
35 $ Release price --
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Rate these processors

Here you can rate the Raspberry Pi 3 B+ (Broadcom BCM2837B0) to help other visitors make their purchasing decisions. The average rating is 0 stars (0 ratings). Rate now:
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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.
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Raspberry Pi 3 B+ (Broadcom BCM2837B0)
Broadcom VideoCore 5 @ 0.40 GHz
20 (3%)
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (100%)

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.
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Raspberry Pi 3 B+ (Broadcom BCM2837B0)
4C 4T @ 1.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (100%)

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.
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Raspberry Pi 3 B+ (Broadcom BCM2837B0)
4C 4T @ 1.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (100%)

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.
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Raspberry Pi 3 B+ (Broadcom BCM2837B0)
4C 4T @ 1.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (100%)

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.
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Raspberry Pi 3 B+ (Broadcom BCM2837B0)
4C 4T @ 1.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (100%)

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.
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Raspberry Pi 3 B+ (Broadcom BCM2837B0)
4C 4T @ 1.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (100%)

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).
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Raspberry Pi 3 B+ (Broadcom BCM2837B0)
4C 4T @ 1.40 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)

Devices using this processor

Raspberry Pi 3 B+ (Broadcom BCM2837B0) Google Tensor G2
Raspberry Pi 3 B+ Google Pixel 7
Google Pixel 7 Pro

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