Raspberry Pi 4 B (Broadcom BCM2711) vs Google Tensor

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CPU comparison with benchmarks


Raspberry Pi 4 B (Broadcom BCM2711) CPU1 vs CPU2 Google Tensor
Raspberry Pi 4 B (Broadcom BCM2711) Google Tensor

CPU comparison

Raspberry Pi 4 B (Broadcom BCM2711) or Google Tensor - 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 Raspberry Pi 4 B (Broadcom BCM2711) has 4 cores with 4 threads and clocks with a maximum frequency of 1.50 GHz. Up to 8 GB of memory is supported in 1 memory channels. The Raspberry Pi 4 B (Broadcom BCM2711) was released in 06/2019.

The Google Tensor has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor was released in Q4/2021.
Broadcom BCM (3) Family Google Tensor (3)
Broadcom BCM2711 (1) CPU group Google Tensor (1)
4 Generation 1
Cortex-A72 Architecture G1
Desktop / Server Segment Mobile
Raspberry Pi 3 B+ (Broadcom BCM2837B0) Predecessor --
Raspberry Pi 5 B (Broadcom BCM2712) Successor Google Tensor G2

CPU Cores and Base Frequency

The Raspberry Pi 4 B (Broadcom BCM2711) has 4 CPU cores and can calculate 4 threads in parallel. The clock frequency of the Raspberry Pi 4 B (Broadcom BCM2711) is 1.50 GHz while the Google Tensor has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor is at 2.80 GHz.

Raspberry Pi 4 B (Broadcom BCM2711) Characteristic Google Tensor
4 Cores 8
4 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
Yes Overclocking ? No
1.50 GHz
4x Cortex-A72
A-Core 2.80 GHz
2x Cortex-X1
-- B-Core 2.25 GHz
2x Cortex-A76
-- 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 4 B (Broadcom BCM2711) Characteristic Google Tensor
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 1.6 TOPS

Internal Graphics

The Raspberry Pi 4 B (Broadcom BCM2711) or Google Tensor 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.

Broadcom VideoCore VI GPU ARM Mali-G78 MP20
0.50 GHz GPU frequency 0.76 GHz
-- GPU (Turbo) --
6 GPU Generation Vallhall 2
28 nm Technology 5 nm
2 Max. displays 1
4 Compute units 20
64 Shader 320
No Hardware Raytracing No
No Frame Generation No
2 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 VI GPU ARM Mali-G78 MP20
Decode Codec h265 / HEVC (8 bit) Decode / Encode
Decode Codec h265 / HEVC (10 bit) Decode / Encode
Decode / Encode Codec h264 Decode / Encode
Decode 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

The Raspberry Pi 4 B (Broadcom BCM2711) can use up to 8 GB of memory in 1 memory channels. The maximum memory bandwidth is 12.8 GB/s. The Google Tensor supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s.

Raspberry Pi 4 B (Broadcom BCM2711) Characteristic Google Tensor
LPDDR4-3200 Memory LPDDR5-5500
8 GB Max. Memory 12 GB
1 (Single Channel) Memory channels 2 (Dual Channel)
12.8 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
1.00 MB L2 Cache 8.00 MB
-- L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the Raspberry Pi 4 B (Broadcom BCM2711) is 7.5 W, while the Google Tensor has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Raspberry Pi 4 B (Broadcom BCM2711) Characteristic Google Tensor
7.5 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
3 W TDP down --
-- Tjunction max. --

Technical details

The Raspberry Pi 4 B (Broadcom BCM2711) is manufactured in 28 nm and has 1.00 MB cache. The Google Tensor is manufactured in 5 nm and has a 8.00 MB cache.

Raspberry Pi 4 B (Broadcom BCM2711) Characteristic Google Tensor
28 nm Technology 5 nm
Monolithic Chip design Unknown
Armv8-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
Windows 11 (ARM), Linux Operating systems Android
06/2019 Release date Q4/2021
35 $ Release price --
show more data show more data


Rate these processors

Here you can rate the Raspberry Pi 4 B (Broadcom BCM2711) to help other visitors make their purchasing decisions. The average rating is 3.7 stars (10 ratings). Rate now:
Here you can rate the Google Tensor to help other visitors make their purchasing decisions. The average rating is 4.3 stars (13 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 1 CPU benchmarks
Raspberry Pi 4 B (Broadcom BCM2711) (19%)
Google Tensor (100%)
⌀ Multi core performance in 1 CPU benchmarks
Raspberry Pi 4 B (Broadcom BCM2711) (21%)
Google Tensor (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 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
4C 4T @ 1.50 GHz
202 (19%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1043 (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 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
4C 4T @ 1.50 GHz
601 (21%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (100%)

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 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
Broadcom VideoCore VI @ 0.50 GHz
32 (2%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (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 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
4C 4T @ 1.50 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1494 (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 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
4C 4T @ 1.50 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
3639 (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 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
4C 4T @ 1.50 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
691770 (100%)

AnTuTu 8 Benchmark

The AnTuTu 8 Benchmark measures the performance of a SoC. AnTuTu benchmarks the CPU, GPU, Memory as well as the UX (User Experience) by simulating browser and app usage. AnTuTu can benchmark any ARM CPU that runs under Android or iOS. Devices may not be directly compareable if the benchmark has been performed under different operating systems.

In the AnTuTu 8 benchmark, the single-core performance of a processor is only slightly weighted. The evaluation consists of the multi-core performance of the processor, the speed of the RAM and the performance of the internal graphics.
Raspberry Pi 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
4C 4T @ 1.50 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (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 4 B (Broadcom BCM2711) Raspberry Pi 4 B (Broadcom BCM2711)
4C 4T @ 1.50 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

Raspberry Pi 4 B (Broadcom BCM2711) Google Tensor
Raspberry Pi 4 B Google Pixel 6
Google Pixel 6 Pro

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