Intel Celeron N3150 vs Google Tensor

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CPU comparison with benchmarks


Intel Celeron N3150 CPU1 vs CPU2 Google Tensor
Intel Celeron N3150 Google Tensor

CPU comparison

In this CPU comparison, we compare the Intel Celeron N3150 and the Google Tensor and use benchmarks to check which processor is faster.

We compare the Intel Celeron N3150 4 core processor released in Q2/2015 with the Google Tensor which has 8 CPU cores and was introduced in Q4/2021.
Intel Celeron (165) Family Google Tensor (3)
Intel Celeron J3000/N3000 (10) CPU group Google Tensor (1)
8 Generation 1
Braswell Architecture G1
Mobile Segment Mobile
-- Predecessor --
-- Successor Google Tensor G2

CPU Cores and Base Frequency

The Intel Celeron N3150 is a 4 core processor with a clock frequency of 1.60 GHz (2.08 GHz). The processor can compute 4 threads at the same time. The Google Tensor clocks with 2.80 GHz, has 8 CPU cores and can calculate 8 threads in parallel.

Intel Celeron N3150 Characteristic Google Tensor
4 Cores 8
4 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
1.60 GHz (2.08 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 Celeron N3150 Characteristic Google Tensor
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 1.6 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.

Intel HD Graphics 400 GPU ARM Mali-G78 MP20
0.32 GHz GPU frequency 0.76 GHz
0.64 GHz GPU (Turbo) --
8 GPU Generation Vallhall 2
14 nm Technology 5 nm
3 Max. displays 1
12 Compute units 20
96 Shader 320
No Hardware Raytracing No
No Frame Generation No
8 GB Max. GPU Memory --
12 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.

Intel HD Graphics 400 GPU ARM Mali-G78 MP20
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 / Encode Codec AVC Decode / Encode
Decode Codec VC-1 Decode / Encode
Decode Codec JPEG Decode / Encode

Memory & PCIe

Up to 8 GB of memory in a maximum of 2 memory channels is supported by the Intel Celeron N3150, while the Google Tensor supports a maximum of 12 GB of memory with a maximum memory bandwidth of 53.0 GB/s enabled.

Intel Celeron N3150 Characteristic Google Tensor
DDR3L-1600 Memory LPDDR5-5500
8 GB Max. Memory 12 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
25.6 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
-- L2 Cache 8.00 MB
2.00 MB L3 Cache --
2.0 PCIe version --
4 PCIe lanes --
2.0 GB/s PCIe Bandwidth --

Thermal Management

The Intel Celeron N3150 has a TDP of 6 W. The TDP of the Google Tensor is 10 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution.

Intel Celeron N3150 Characteristic Google Tensor
6 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
4 W TDP down --
90 °C Tjunction max. --

Technical details

The Intel Celeron N3150 has 2.00 MB cache and is manufactured in 14 nm. The cache of Google Tensor is at 8.00 MB. The processor is manufactured in 5 nm.

Intel Celeron N3150 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 1170 Socket --
VT-x, VT-x EPT Virtualization None
Yes AES-NI No
Windows 10, Linux Operating systems Android
Q2/2015 Release date Q4/2021
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Intel Celeron N3150 to help other visitors make their purchasing decisions. The average rating is 2.5 stars (2 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 2 CPU benchmarks
Intel Celeron N3150 (16%)
Google Tensor (100%)
⌀ Multi core performance in 2 CPU benchmarks
Intel Celeron N3150 (20%)
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.
Intel Celeron N3150 Intel Celeron N3150
4C 4T @ 2.08 GHz
218 (21%)
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 Celeron N3150 Intel Celeron N3150
4C 4T @ 2.08 GHz
765 (26%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (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.
Intel Celeron N3150 Intel Celeron N3150
4C 4T @ 2.08 GHz
169 (11%)
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 Celeron N3150 Intel Celeron N3150
4C 4T @ 2.08 GHz
525 (14%)
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 Celeron N3150 Intel Celeron N3150
Intel HD Graphics 400 @ 0.64 GHz
134 (7%)
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 Celeron N3150 Intel Celeron N3150
4C 4T @ 1.60 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 Celeron N3150 Intel Celeron N3150
4C 4T @ 1.60 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (100%)

Estimated results for PassMark CPU Mark

Some of the CPUs listed below have been benchmarked by CPU-monkey. However the majority of CPUs have not been tested and the results have been estimated by a CPU-monkey’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
Intel Celeron N3150 Intel Celeron N3150
4C 4T @ 2.08 GHz
1205 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

Cinebench R15 (Single-Core)

Cinebench R15 is the successor of Cinebench 11.5 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Intel Celeron N3150 Intel Celeron N3150
4C 4T @ 2.08 GHz
35 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

Cinebench R15 (Multi-Core)

Cinebench R15 is the successor of Cinebench 11.5 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
Intel Celeron N3150 Intel Celeron N3150
4C 4T @ 2.08 GHz
126 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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).
Intel Celeron N3150 Intel Celeron N3150
4C 4T @ 1.60 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

Intel Celeron N3150 Google Tensor
Unknown Google Pixel 6
Google Pixel 6 Pro

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