Intel Core m3-8100Y vs Google Tensor

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CPU comparison with benchmarks


Intel Core m3-8100Y CPU1 vs CPU2 Google Tensor
Intel Core m3-8100Y Google Tensor

CPU comparison

Intel Core m3-8100Y 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 Core m3-8100Y has 2 cores with 4 threads and clocks with a maximum frequency of 3.40 GHz. Up to 16 GB of memory is supported in 2 memory channels. The Intel Core m3-8100Y was released in Q3/2018.

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 Core i3 (205) Family Google Tensor (3)
Intel Core M 8 (1) CPU group Google Tensor (1)
8 Generation 1
Amber Lake Y Architecture G1
Mobile Segment Mobile
-- Predecessor --
-- Successor Google Tensor G2

CPU Cores and Base Frequency

The Intel Core m3-8100Y has 2 CPU cores and can calculate 4 threads in parallel. The clock frequency of the Intel Core m3-8100Y is 1.10 GHz (3.40 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.

Intel Core m3-8100Y Characteristic Google Tensor
2 Cores 8
4 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
Yes Hyperthreading No
No Overclocking ? No
1.10 GHz (3.40 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 Core m3-8100Y Characteristic Google Tensor
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 1.6 TOPS

Internal Graphics

The Intel Core m3-8100Y 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.

Intel UHD Graphics 615 GPU ARM Mali-G78 MP20
0.30 GHz GPU frequency 0.76 GHz
0.90 GHz GPU (Turbo) --
9.5 GPU Generation Vallhall 2
14 nm Technology 5 nm
3 Max. displays 1
24 Compute units 20
192 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 UHD Graphics 615 GPU ARM Mali-G78 MP20
Decode / Encode Codec h265 / HEVC (8 bit) Decode / Encode
Decode / Encode Codec h265 / HEVC (10 bit) Decode / Encode
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec VP9 Decode / Encode
Decode / Encode Codec VP8 Decode / Encode
No Codec AV1 Decode
Decode / Encode Codec AVC Decode / Encode
Decode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Intel Core m3-8100Y can use up to 16 GB of memory in 2 memory channels. The maximum memory bandwidth is 29.9 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.

Intel Core m3-8100Y Characteristic Google Tensor
LPDDR3-1866, DDR3L-1600 Memory LPDDR5-5500
16 GB Max. Memory 12 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
29.9 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
-- L2 Cache 8.00 MB
4.00 MB L3 Cache --
3.0 PCIe version --
10 PCIe lanes --
9.9 GB/s PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the Intel Core m3-8100Y is 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.

Intel Core m3-8100Y Characteristic Google Tensor
5 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
8 W TDP up --
4.5 W TDP down --
100 °C Tjunction max. --

Technical details

The Intel Core m3-8100Y is manufactured in 14 nm and has 4.00 MB cache. The Google Tensor is manufactured in 5 nm and has a 8.00 MB cache.

Intel Core m3-8100Y 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, AVX2 ISA extensions --
BGA 1515 Socket --
VT-x, VT-x EPT, VT-d Virtualization None
Yes AES-NI No
Operating systems Android
Q3/2018 Release date Q4/2021
281 $ Release price --
show more data show more data


Rate these processors

Here you can rate the Intel Core m3-8100Y to help other visitors make their purchasing decisions. The average rating is 2.0 stars (2 ratings). Rate now:
Here you can rate the Google Tensor to help other visitors make their purchasing decisions. The average rating is 4.1 stars (8 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Intel Core m3-8100Y (71%)
Google Tensor (100%)
⌀ Multi core performance in 2 CPU benchmarks
Intel Core m3-8100Y (49%)
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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 3.40 GHz
763 (73%)
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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 GHz
1429 (49%)
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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 3.40 GHz
1028 (69%)
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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 GHz
1740 (48%)
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 Core m3-8100Y Intel Core m3-8100Y
Intel UHD Graphics 615 @ 0.90 GHz
346 (18%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (100%)

Cinebench R20 (Single-Core)

Cinebench R20 is the successor of Cinebench R15 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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 3.40 GHz
231 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

Cinebench R20 (Multi-Core)

Cinebench R20 is the successor of Cinebench R15 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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 GHz
412 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 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.
Intel Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 GHz
2916 (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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 3.40 GHz
93 (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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 GHz
176 (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 Core m3-8100Y Intel Core m3-8100Y
2C 4T @ 1.10 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

Intel Core m3-8100Y Google Tensor
GPD P2 Max Windows 10 Ultrabook
GPD P2 MAX Ultra Mobiler Mini PC Laptop 8.9 Zoll
Laptop ONE-Netbook OneMix 3s
ASUS Chromebook Flip C434TA-AI0108
Google Pixel 6
Google Pixel 6 Pro

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