Intel Atom C3808 vs Google Tensor

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CPU comparison with benchmarks


Intel Atom C3808 CPU1 vs CPU2 Google Tensor
Intel Atom C3808 Google Tensor

CPU comparison

Intel Atom C3808 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 Intel Atom C3808 has 12 cores with 12 threads and clocks with a maximum frequency of 2.00 GHz. Up to 256 GB of memory is supported in 2 memory channels. The Intel Atom C3808 was released in Q3/2017.

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.
Intel Atom (108) Family Google Tensor (3)
Intel Atom C3000 (20) CPU group Google Tensor (1)
5 Generation 1
Denverton Architecture G1
Desktop / Server Segment Mobile
-- Predecessor --
-- Successor Google Tensor G2

CPU Cores and Base Frequency

The Intel Atom C3808 is a 12 core processor with a clock frequency of 2.00 GHz. The Google Tensor has 8 CPU cores with a clock frequency of 2.80 GHz.

Intel Atom C3808 Characteristic Google Tensor
12 Cores 8
12 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.00 GHz 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.

Intel Atom C3808 Characteristic Google Tensor
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 1.6 TOPS

Internal Graphics

The integrated graphics unit of a processor is not only responsible for the pure image output on the system, but can also significantly increase the efficiency of the system with the support of modern video codecs.

no iGPU GPU ARM Mali-G78 MP20
GPU frequency 0.76 GHz
-- GPU (Turbo) --
-- GPU Generation Vallhall 2
Technology 5 nm
Max. displays 1
-- Compute units 20
-- Shader 320
No Hardware Raytracing No
No Frame Generation No
-- 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.

no iGPU GPU ARM Mali-G78 MP20
No Codec h265 / HEVC (8 bit) Decode / Encode
No Codec h265 / HEVC (10 bit) Decode / Encode
No Codec h264 Decode / Encode
No Codec VP9 Decode / Encode
No Codec VP8 Decode / Encode
No Codec AV1 Decode
No Codec AVC Decode / Encode
No Codec VC-1 Decode / Encode
No Codec JPEG Decode / Encode

Memory & PCIe

The Intel Atom C3808 supports a maximum of 256 GB of memory in 2 memory channels. The Google Tensor can connect up to 12 GB of memory in 2 memory channels.

Intel Atom C3808 Characteristic Google Tensor
DDR4-2133 Memory LPDDR5-5500
256 GB Max. Memory 12 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
34.1 GB/s Max. Bandwidth 53.0 GB/s
Yes ECC No
12.00 MB L2 Cache 8.00 MB
-- L3 Cache --
3.0 PCIe version --
16 PCIe lanes --
15.8 GB/s PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Intel Atom C3808 has a TDP of 25 W, that of the Google Tensor is 10 W.

Intel Atom C3808 Characteristic Google Tensor
25 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
100 °C Tjunction max. --

Technical details

The Intel Atom C3808 has a 12.00 MB cache, while the Google Tensor cache has a total of 8.00 MB.

Intel Atom C3808 Characteristic Google Tensor
14 nm Technology 5 nm
Monolithic Chip design Unknown
x86-64 (64 bit) Instruction set (ISA) Armv8-A (64 bit)
SSE4.1, SSE4.2 ISA extensions --
BGA 1310 Socket --
VT-x, VT-x EPT, VT-d Virtualization None
Yes AES-NI No
Windows 10, Linux Operating systems Android
Q3/2017 Release date Q4/2021
369 $ Release price --
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Rate these processors

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Here you can rate the Google Tensor to help other visitors make their purchasing decisions. The average rating is 4.3 stars (14 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 1 CPU benchmarks
Intel Atom C3808 (29%)
Google Tensor (100%)
⌀ Multi core performance in 1 CPU benchmarks
Intel Atom C3808 (100%)
Google Tensor (95%)

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.
Intel Atom C3808 Intel Atom C3808
12C 12T @ 2.00 GHz
306 (29%)
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.
Intel Atom C3808 Intel Atom C3808
12C 12T @ 2.00 GHz
3067 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (95%)

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.
Intel Atom C3808 Intel Atom C3808
12C 12T @ 2.00 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.
Intel Atom C3808 Intel Atom C3808
12C 12T @ 2.00 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
3639 (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.
Intel Atom C3808 Intel Atom C3808
@ 0.00 GHz
0 (0%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (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.
Intel Atom C3808 Intel Atom C3808
12C 12T @ 2.00 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.
Intel Atom C3808 Intel Atom C3808
12C 12T @ 2.00 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).
Intel Atom C3808 Intel Atom C3808
12C 12T @ 2.00 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

Intel Atom C3808 Google Tensor
Unknown Google Pixel 6
Google Pixel 6 Pro

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