Intel Core i5-7300HQ vs Google Tensor G2

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CPU comparison with benchmarks


Intel Core i5-7300HQ CPU1 vs CPU2 Google Tensor G2
Intel Core i5-7300HQ Google Tensor G2

CPU comparison

Intel Core i5-7300HQ or Google Tensor G2 - 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 i5-7300HQ has 4 cores with 4 threads and clocks with a maximum frequency of 3.50 GHz. Up to 64 GB of memory is supported in 2 memory channels. The Intel Core i5-7300HQ was released in Q1/2017.

The Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G2 was released in Q4/2022.
Intel Core i5 (331) Family Google Tensor (3)
Intel Core i 7000H (10) CPU group Google Tensor G2 (1)
7 Generation 2
Kaby Lake H Architecture G2
Mobile Segment Mobile
Intel Core i5-6300HQ Predecessor Google Tensor
-- Successor --

CPU Cores and Base Frequency

The Intel Core i5-7300HQ has 4 CPU cores and can calculate 4 threads in parallel. The clock frequency of the Intel Core i5-7300HQ is 2.50 GHz (3.50 GHz) while the Google Tensor G2 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor G2 is at 2.85 GHz.

Intel Core i5-7300HQ Characteristic Google Tensor G2
4 Cores 8
4 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.50 GHz (3.50 GHz) A-Core 2.85 GHz
2x Cortex-X1
-- B-Core 2.35 GHz
2x Cortex-A78
-- 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 i5-7300HQ Characteristic Google Tensor G2
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 4 TOPS

Internal Graphics

The Intel Core i5-7300HQ or Google Tensor G2 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 HD Graphics 630 GPU ARM Mali-G710 MP7
0.30 GHz GPU frequency 0.90 GHz
1.10 GHz GPU (Turbo) --
9.5 GPU Generation Vallhall 3
14 nm Technology 4 nm
3 Max. displays 1
24 Compute units 7
192 Shader --
No Hardware Raytracing No
No Frame Generation No
64 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 630 GPU ARM Mali-G710 MP7
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 i5-7300HQ can use up to 64 GB of memory in 2 memory channels. The maximum memory bandwidth is 38.4 GB/s. The Google Tensor G2 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 i5-7300HQ Characteristic Google Tensor G2
DDR4-2400 Memory LPDDR5-5500
64 GB Max. Memory 12 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
38.4 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
-- L2 Cache 8.00 MB
6.00 MB L3 Cache 4.00 MB
3.0 PCIe version --
16 PCIe lanes --
15.8 GB/s PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the Intel Core i5-7300HQ is 45 W, while the Google Tensor G2 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

Intel Core i5-7300HQ Characteristic Google Tensor G2
45 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Intel Core i5-7300HQ is manufactured in 14 nm and has 6.00 MB cache. The Google Tensor G2 is manufactured in 4 nm and has a 12.00 MB cache.

Intel Core i5-7300HQ Characteristic Google Tensor G2
14 nm Technology 4 nm
Monolithic Chip design Chiplet
x86-64 (64 bit) Instruction set (ISA) Armv8-A (64 bit)
SSE4.1, SSE4.2, AVX2 ISA extensions --
BGA 1440 Socket --
VT-x, VT-x EPT, VT-d Virtualization None
Yes AES-NI No
Windows 10, Linux Operating systems Android
Q1/2017 Release date Q4/2022
-- Release price --
show more data show more data


Rate these processors

Here you can rate the Intel Core i5-7300HQ to help other visitors make their purchasing decisions. The average rating is 3.2 stars (5 ratings). Rate now:
Here you can rate the Google Tensor G2 to help other visitors make their purchasing decisions. The average rating is 4.0 stars (23 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
Intel Core i5-7300HQ (78%)
Google Tensor G2 (100%)
⌀ Multi core performance in 2 CPU benchmarks
Intel Core i5-7300HQ (92%)
Google Tensor G2 (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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.50 GHz
844 (79%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1068 (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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.10 GHz
2773 (88%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.50 GHz
1082 (76%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.10 GHz
3218 (96%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (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 i5-7300HQ Intel Core i5-7300HQ
Intel HD Graphics 630 @ 1.10 GHz
422 (60%)
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (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 Core i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 2.50 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.10 GHz
5102 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

Blender 2.81 (bmw27)

Blender is a free 3D graphics software for rendering (creating) 3D bodies, which can also be textured and animated in the software. The Blender benchmark creates predefined scenes and measures the time (s) required for the entire scene. The shorter the time required, the better. We selected bmw27 as the benchmark scene.
Intel Core i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.10 GHz
740.7 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

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.
Intel Core i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.10 GHz
359 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
0 (0%)

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.
Intel Core i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 2.50 GHz
1348 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.50 GHz
143 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 3.10 GHz
541 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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 i5-7300HQ Intel Core i5-7300HQ
4C 4T @ 2.50 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (100%)

Devices using this processor

Intel Core i5-7300HQ Google Tensor G2
Unknown Google Pixel 7
Google Pixel 7 Pro

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