Intel Processor N95 vs Google Tensor

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CPU comparison with benchmarks


Intel Processor N95 CPU1 vs CPU2 Google Tensor
Intel Processor N95 Google Tensor

CPU comparison

Intel Processor N95 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 Processor N95 has 4 cores with 4 threads and clocks with a maximum frequency of 3.40 GHz. Up to 16 GB of memory is supported in 1 memory channels. The Intel Processor N95 was released in Q1/2023.

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 Processor N (5) Family Google Tensor (3)
Intel Processor N50/N100/N200 (5) CPU group Google Tensor (1)
13 Generation 1
Alder Lake N Architecture G1
Mobile Segment Mobile
-- Predecessor --
-- Successor Google Tensor G2

CPU Cores and Base Frequency

The Intel Processor N95 is a 4 core processor with a clock frequency of 2.00 GHz (3.40 GHz). The Google Tensor has 8 CPU cores with a clock frequency of 2.80 GHz.

Intel Processor N95 Characteristic Google Tensor
4 Cores 8
4 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.00 GHz (3.40 GHz)
4x Gracemont
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 Processor N95 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.

Intel UHD Graphics 16 EUs (Alder Lake) GPU ARM Mali-G78 MP20
0.60 GHz GPU frequency 0.76 GHz
1.20 GHz GPU (Turbo) --
12 GPU Generation Vallhall 2
10 nm Technology 5 nm
3 Max. displays 1
16 Compute units 20
128 Shader 320
No Hardware Raytracing No
No Frame Generation No
8 GB Max. GPU Memory --
12.1 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 16 EUs (Alder Lake) 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
Decode 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 Processor N95 supports a maximum of 16 GB of memory in 1 memory channels. The Google Tensor can connect up to 12 GB of memory in 2 memory channels.

Intel Processor N95 Characteristic Google Tensor
DDR5-4800, DDR4-3200 Memory LPDDR5-5500
16 GB Max. Memory 12 GB
1 (Single Channel) Memory channels 2 (Dual Channel)
38.4 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
4.00 MB L2 Cache 8.00 MB
6.00 MB L3 Cache --
3.0 PCIe version --
9 PCIe lanes --
8.9 GB/s PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Intel Processor N95 has a TDP of 15 W, that of the Google Tensor is 10 W.

Intel Processor N95 Characteristic Google Tensor
15 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
105 °C Tjunction max. --

Technical details

The Intel Processor N95 has a 10.00 MB cache, while the Google Tensor cache has a total of 8.00 MB.

Intel Processor N95 Characteristic Google Tensor
10 nm Technology 5 nm
Monolithic Chip design Unknown
x86-64 (64 bit) Instruction set (ISA) Armv8-A (64 bit)
SSE4.1, SSE4.2, AVX, AVX2 ISA extensions --
BGA Socket --
VT-x, VT-x EPT, VT-d Virtualization None
Yes AES-NI No
Windows 10, Windows 11, Linux Operating systems Android
Q1/2023 Release date Q4/2021
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Intel Processor N95 to help other visitors make their purchasing decisions. The average rating is 3.9 stars (49 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 Processor N95 (89%)
Google Tensor (100%)
⌀ Multi core performance in 2 CPU benchmarks
Intel Processor N95 (85%)
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 Processor N95 Intel Processor N95
4C 4T @ 3.40 GHz
1028 (99%)
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 Processor N95 Intel Processor N95
4C 4T @ 3.20 GHz
2649 (91%)
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 Processor N95 Intel Processor N95
4C 4T @ 3.40 GHz
1158 (78%)
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 Processor N95 Intel Processor N95
4C 4T @ 3.20 GHz
2857 (79%)
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 Processor N95 Intel Processor N95
Intel UHD Graphics 16 EUs (Alder Lake) @ 1.20 GHz
307 (16%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (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.
Intel Processor N95 Intel Processor N95
4C 4T @ 3.40 GHz
58 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

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.
Intel Processor N95 Intel Processor N95
4C 4T @ 3.40 GHz
184 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

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.
Intel Processor N95 Intel Processor N95
4C 4T @ 3.40 GHz
918 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

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.
Intel Processor N95 Intel Processor N95
4C 4T @ 3.20 GHz
2724 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

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 Processor N95 Intel Processor N95
4C 4T @ 3.40 GHz
349 (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 Processor N95 Intel Processor N95
4C 4T @ 3.20 GHz
1041 (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 Processor N95 Intel Processor N95
4C 4T @ 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 Processor N95 Intel Processor N95
4C 4T @ 2.00 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 Processor N95 Intel Processor N95
4C 4T @ 3.20 GHz
5495 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

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.
Intel Processor N95 Intel Processor N95
2,724 CB R23 MC @ 15 W
182 (100%)
Google Tensor Google Tensor
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 Processor N95 Intel Processor N95
4C 4T @ 2.00 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

Intel Processor N95 Google Tensor
Unknown Google Pixel 6
Google Pixel 6 Pro

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