Google Tensor vs Intel Core i3-10100F

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CPU comparison with benchmarks


Google Tensor CPU1 vs CPU2 Intel Core i3-10100F
Google Tensor Intel Core i3-10100F

CPU comparison

Google Tensor or Intel Core i3-10100F - 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 Google Tensor has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor was released in Q4/2021.

The Intel Core i3-10100F has 4 cores with 8 threads and clocks with a maximum frequency of 4.30 GHz. The CPU supports up to 128 GB of memory in 2 memory channels. The Intel Core i3-10100F was released in Q4/2020.
Google Tensor (3) Family Intel Core i3 (205)
Google Tensor (1) CPU group Intel Core i 10000 (43)
1 Generation 10
G1 Architecture Comet Lake S
Mobile Segment Desktop / Server
-- Predecessor Intel Core i3-9100F
Google Tensor G2 Successor --

CPU Cores and Base Frequency

The Google Tensor has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor is 2.80 GHz while the Intel Core i3-10100F has 4 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Intel Core i3-10100F is at 3.60 GHz (4.30 GHz).

Google Tensor Characteristic Intel Core i3-10100F
8 Cores 4
8 Threads 8
hybrid (Prime / big.LITTLE) Core architecture normal
No Hyperthreading Yes
No Overclocking ? No
2.80 GHz
2x Cortex-X1
A-Core 3.60 GHz (4.30 GHz)
2.25 GHz
2x Cortex-A76
B-Core --
1.80 GHz
4x Cortex-A55
C-Core --

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.

Google Tensor Characteristic Intel Core i3-10100F
Google Tensor AI AI hardware --
Google Edge TPU @ 1.6 TOPS AI specifications --

Internal Graphics

The Google Tensor or Intel Core i3-10100F 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.

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

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.

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

Memory & PCIe

The Google Tensor can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The Intel Core i3-10100F supports up to 128 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 42.7 GB/s.

Google Tensor Characteristic Intel Core i3-10100F
LPDDR5-5500 Memory DDR4-2666
12 GB Max. Memory 128 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
53.0 GB/s Max. Bandwidth 42.7 GB/s
No ECC No
8.00 MB L2 Cache --
-- L3 Cache 6.00 MB
-- PCIe version 3.0
-- PCIe lanes 16
-- PCIe Bandwidth 15.8 GB/s

Thermal Management

The thermal design power (TDP for short) of the Google Tensor is 10 W, while the Intel Core i3-10100F has a TDP of 65 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Google Tensor Characteristic Intel Core i3-10100F
10 W TDP (PL1 / PBP) 65 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. 100 °C

Technical details

The Google Tensor is manufactured in 5 nm and has 8.00 MB cache. The Intel Core i3-10100F is manufactured in 14 nm and has a 6.00 MB cache.

Google Tensor Characteristic Intel Core i3-10100F
5 nm Technology 14 nm
Unknown Chip design Monolithic
Armv8-A (64 bit) Instruction set (ISA) x86-64 (64 bit)
-- ISA extensions SSE4.1, SSE4.2, AVX2
-- Socket LGA 1200
None Virtualization VT-x, VT-x EPT, VT-d
No AES-NI Yes
Android Operating systems Windows 10, Windows 11, Linux
Q4/2021 Release date Q4/2020
-- Release price 79 $
show more data show more data


Rate these processors

Here you can rate the Google Tensor to help other visitors make their purchasing decisions. The average rating is 4.2 stars (11 ratings). Rate now:
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Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Google Tensor (96%)
Intel Core i3-10100F (99%)
⌀ Multi core performance in 2 CPU benchmarks
Google Tensor (72%)
Intel Core i3-10100F (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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1043 (92%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.30 GHz
1135 (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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (67%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.10 GHz
4365 (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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1494 (100%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.30 GHz
1446 (97%)

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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
3639 (76%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.10 GHz
4769 (100%)

Cinebench 2024 (Single-Core)

The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in Maxon's 3D program Cinema 4D. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.30 GHz
64 (100%)

Cinebench 2024 (Multi-Core)

The Multi-Core test of the Cinebench 2024 benchmark uses all cpu cores to render using the Redshift rendering engine, which is also used in Maxons Cinema 4D. The benchmark run is 10 minutes long to test whether the processor is limited by its heat generation.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.30 GHz
295 (100%)

Cinebench R23 (Single-Core)

Cinebench R23 is the successor of Cinebench R20 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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.30 GHz
1141 (100%)

Cinebench R23 (Multi-Core)

Cinebench R23 is the successor of Cinebench R20 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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.10 GHz
5612 (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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.30 GHz
448 (100%)

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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.10 GHz
2284 (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.
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (100%)
Intel Core i3-10100F Intel Core i3-10100F
@ 0.00 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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
691770 (100%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 3.60 GHz
0 (0%)

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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (100%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 3.60 GHz
0 (0%)

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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.10 GHz
8722 (100%)

CPU-Z Benchmark 17 (Single-Core)

The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.10 GHz
460 (100%)

CPU-Z Benchmark 17 (Multi-Core)

The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 3.60 GHz
2417 (100%)

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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.30 GHz
191 (100%)

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.
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 4.10 GHz
1001 (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).
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)
Intel Core i3-10100F Intel Core i3-10100F
4C 8T @ 3.60 GHz
0 (0%)

Devices using this processor

Google Tensor Intel Core i3-10100F
Google Pixel 6
Google Pixel 6 Pro
Unknown

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