Google Tensor G3 vs Intel Processor N100

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CPU comparison with benchmarks


Google Tensor G3 CPU1 vs CPU2 Intel Processor N100
Google Tensor G3 Intel Processor N100

CPU comparison

Google Tensor G3 or Intel Processor N100 - 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 G3 has 8 cores with 8 threads and clocks with a maximum frequency of 2.91 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G3 was released in Q3/2023.

The Intel Processor N100 has 4 cores with 4 threads and clocks with a maximum frequency of 3.40 GHz. The CPU supports up to 16 GB of memory in 1 memory channels. The Intel Processor N100 was released in Q1/2023.
Google Tensor (3) Family Intel Processor N (5)
Google Tensor G3 (1) CPU group Intel Processor N50/N100/N200 (5)
3 Generation 13
G3 Architecture Alder Lake N
Mobile Segment Mobile
Google Tensor Predecessor --
-- Successor --

CPU Cores and Base Frequency

The Google Tensor G3 is a 8 core processor with a clock frequency of 2.91 GHz. The Intel Processor N100 has 4 CPU cores with a clock frequency of 1.80 GHz (3.40 GHz).

Google Tensor G3 Characteristic Intel Processor N100
8 Cores 4
8 Threads 4
hybrid (Prime / big.LITTLE) Core architecture normal
No Hyperthreading No
No Overclocking ? No
2.91 GHz
1x Cortex-X3
A-Core 1.80 GHz (3.40 GHz)
4x Gracemont
2.37 GHz
4x Cortex-A715
B-Core --
1.70 GHz
4x Cortex-A510
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 G3 Characteristic Intel Processor N100
Google Tensor AI AI hardware --
Google Edge TPU AI specifications --

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.

ARM Immortalis-G715 MP10 GPU Intel UHD Graphics 24 EUs (Alder Lake)
0.89 GHz GPU frequency 0.30 GHz
-- GPU (Turbo) 0.75 GHz
Vallhall GPU Generation 12
4 nm Technology 10 nm
0 Max. displays 3
10 Compute units 24
-- Shader 192
No Hardware Raytracing No
No Frame Generation No
-- Max. GPU Memory 8 GB
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.

ARM Immortalis-G715 MP10 GPU Intel UHD Graphics 24 EUs (Alder Lake)
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
Decode / Encode Codec AV1 Decode
Decode / Encode Codec AVC Decode / Encode
Decode / Encode Codec VC-1 Decode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Google Tensor G3 supports a maximum of 12 GB of memory in 2 memory channels. The Intel Processor N100 can connect up to 16 GB of memory in 1 memory channels.

Google Tensor G3 Characteristic Intel Processor N100
LPDDR5-5500 Memory DDR5-4800, DDR4-3200
12 GB Max. Memory 16 GB
2 (Dual Channel) Memory channels 1 (Single Channel)
53.0 GB/s Max. Bandwidth 38.4 GB/s
No ECC No
-- L2 Cache 4.00 MB
-- L3 Cache 6.00 MB
-- PCIe version 3.0
-- PCIe lanes 9
-- PCIe Bandwidth 8.9 GB/s

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Google Tensor G3 has a TDP of 10 W, that of the Intel Processor N100 is 6 W.

Google Tensor G3 Characteristic Intel Processor N100
10 W TDP (PL1 / PBP) 6 W
-- TDP (PL2) 25 W
-- TDP up 10 W
-- TDP down --
-- Tjunction max. 105 °C

Technical details

The Google Tensor G3 has a 0.00 MB cache, while the Intel Processor N100 cache has a total of 10.00 MB.

Google Tensor G3 Characteristic Intel Processor N100
4 nm Technology 10 nm
Chiplet Chip design Monolithic
Armv9-A (64 bit) Instruction set (ISA) x86-64 (64 bit)
-- ISA extensions SSE4.1, SSE4.2, AVX, AVX2
-- Socket BGA
None Virtualization VT-x, VT-x EPT, VT-d
No AES-NI Yes
Android Operating systems Windows 10, Windows 11, Linux
Q3/2023 Release date Q1/2023
-- Release price 128 $
show more data show more data


Rate these processors

Here you can rate the Google Tensor G3 to help other visitors make their purchasing decisions. The average rating is 3.5 stars (18 ratings). Rate now:
Here you can rate the Intel Processor N100 to help other visitors make their purchasing decisions. The average rating is 4.1 stars (138 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Google Tensor G3 (100%)
Intel Processor N100 (74%)
⌀ Multi core performance in 2 CPU benchmarks
Google Tensor G3 (100%)
Intel Processor N100 (74%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
1267 (100%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.40 GHz
989 (78%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
3631 (100%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.00 GHz
2840 (78%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
1759 (100%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.40 GHz
1220 (69%)

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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
4533 (100%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.00 GHz
3129 (69%)

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 G3 Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz
1 (0%)
Intel Processor N100 Intel Processor N100
Intel UHD Graphics 24 EUs (Alder Lake) @ 0.75 GHz
288 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.40 GHz
59 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.40 GHz
197 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.40 GHz
821 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.00 GHz
2269 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.40 GHz
347 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.00 GHz
1076 (100%)

AnTuTu 10 Benchmark

The AnTuTu 10 benchmark is one of the best-known benchmarks for mobile processors, which is now available in version 10. There is a version for Android-based smartphones and tablets, as well as a version for Apple mobile devices, i.e. iPhones and iPads.

The Antutu 10 benchmark has 3 phases. In the first phase, the device's RAM is tested, in phase 2 the graphics are tested and in the final phase the entire device is pushed to its performance limits by rendering 3D graphics.

Antutu 10 is therefore ideal for comparing the performance of different devices.
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1106280 (100%)
Intel Processor N100 Intel Processor N100
4C 4T @ 1.80 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.
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
894587 (100%)
Intel Processor N100 Intel Processor N100
4C 4T @ 1.80 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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.00 GHz
5417 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.00 GHz
379 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 1.80 GHz
1304 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.40 GHz
154 (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 G3 Google Tensor G3
8C 8T @ 2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
4C 4T @ 3.00 GHz
477 (100%)

CPU performance per watt (efficiency)

Efficiency of the processor under full load in the Cinebench R23 (multi-core) benchmark. The benchmark result is divided by the average energy required (CPU package power in watts). The higher the value, the more efficient the CPU is under full load.
Google Tensor G3 Google Tensor G3
2.91 GHz
0 (0%)
Intel Processor N100 Intel Processor N100
2,269 CB R23 MC @ 10 W
227 (100%)

Devices using this processor

Google Tensor G3 Intel Processor N100
Google Pixel 8
Google Pixel 8 Pro
Unknown

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