MediaTek Dimensity 9300 vs Google Tensor G2

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CPU comparison with benchmarks


MediaTek Dimensity 9300 CPU1 vs CPU2 Google Tensor G2
MediaTek Dimensity 9300 Google Tensor G2

CPU comparison

In this CPU comparison, we compare the MediaTek Dimensity 9300 and the Google Tensor G2 and use benchmarks to check which processor is faster.

We compare the MediaTek Dimensity 9300 8 core processor released in Q4/2023 with the Google Tensor G2 which has 8 CPU cores and was introduced in Q4/2022.
Mediatek Dimensity (36) Family Google Tensor (3)
MediaTek Dimensity 9300 (1) CPU group Google Tensor G2 (1)
5 Generation 2
Cortex-X4 / -A720 Architecture G2
Mobile Segment Mobile
MediaTek Dimensity 9200+ Predecessor Google Tensor
-- Successor --

CPU Cores and Base Frequency

The MediaTek Dimensity 9300 is a 8 core processor with a clock frequency of 3.25 GHz. The processor can compute 8 threads at the same time. The Google Tensor G2 clocks with 2.85 GHz, has 8 CPU cores and can calculate 8 threads in parallel.

MediaTek Dimensity 9300 Characteristic Google Tensor G2
8 Cores 8
8 Threads 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
3.25 GHz
1x Cortex-X4
A-Core 2.85 GHz
2x Cortex-X1
2.85 GHz
3x Cortex-X4
B-Core 2.35 GHz
2x Cortex-A78
2.00 GHz
4x Cortex-A720
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.

MediaTek Dimensity 9300 Characteristic Google Tensor G2
Mediatek APU AI hardware Google Tensor AI
MediaTek APU 790 @ 33 TOPS AI specifications Google Edge TPU @ 4 TOPS

Internal Graphics

Graphics (iGPU) integrated into the processor not only enable image output without having to rely on a dedicated graphics solution, but can also efficiently accelerate video playback.

ARM Immortalis-G720 MC12 GPU ARM Mali-G710 MP7
1.00 GHz GPU frequency 0.90 GHz
-- GPU (Turbo) --
-- GPU Generation Vallhall 3
4 nm Technology 4 nm
0 Max. displays 1
12 Compute units 7
-- Shader --
No Hardware Raytracing No
No Frame Generation No
-- 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.

ARM Immortalis-G720 MC12 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
Decode Codec AV1 Decode
Decode / Encode Codec AVC Decode / Encode
Decode / Encode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

Up to 16 GB of memory in a maximum of 4 memory channels is supported by the MediaTek Dimensity 9300, while the Google Tensor G2 supports a maximum of 12 GB of memory with a maximum memory bandwidth of 53.0 GB/s enabled.

MediaTek Dimensity 9300 Characteristic Google Tensor G2
LPDDR5X-9600 Memory LPDDR5-5500
16 GB Max. Memory 12 GB
4 (Quad Channel) Memory channels 2 (Dual Channel)
76.8 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
-- L2 Cache 8.00 MB
18.00 MB L3 Cache 4.00 MB
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The MediaTek Dimensity 9300 has a TDP of 12.5 W. The TDP of the Google Tensor G2 is 10 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution.

MediaTek Dimensity 9300 Characteristic Google Tensor G2
12.5 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The MediaTek Dimensity 9300 has 18.00 MB cache and is manufactured in 4 nm. The cache of Google Tensor G2 is at 12.00 MB. The processor is manufactured in 4 nm.

MediaTek Dimensity 9300 Characteristic Google Tensor G2
4 nm Technology 4 nm
Chiplet Chip design Chiplet
Armv9-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
Android Operating systems Android
Q4/2023 Release date Q4/2022
-- Release price --
show more data show more data


Rate these processors

Here you can rate the MediaTek Dimensity 9300 to help other visitors make their purchasing decisions. The average rating is 4.4 stars (15 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 (24 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 1 CPU benchmarks
MediaTek Dimensity 9300 (100%)
Google Tensor G2 (62%)
⌀ Multi core performance in 1 CPU benchmarks
MediaTek Dimensity 9300 (100%)
Google Tensor G2 (42%)

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.
MediaTek Dimensity 9300 MediaTek Dimensity 9300
8C 8T @ 3.25 GHz
2287 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
1426 (62%)

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.
MediaTek Dimensity 9300 MediaTek Dimensity 9300
8C 8T @ 3.25 GHz
7880 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3342 (42%)

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.
MediaTek Dimensity 9300 MediaTek Dimensity 9300
ARM Immortalis-G720 MC12 @ 1.00 GHz
2400 (100%)
Google Tensor G2 Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz
700 (29%)

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).
MediaTek Dimensity 9300 MediaTek Dimensity 9300
8C 8T @ 3.25 GHz
33 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
4 (12%)

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.
MediaTek Dimensity 9300 MediaTek Dimensity 9300
8C 8T @ 3.25 GHz
0 (0%)
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.
MediaTek Dimensity 9300 MediaTek Dimensity 9300
8C 8T @ 3.25 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
3149 (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.
MediaTek Dimensity 9300 MediaTek Dimensity 9300
8C 8T @ 3.25 GHz
2041950 (100%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 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.
MediaTek Dimensity 9300 MediaTek Dimensity 9300
8C 8T @ 3.25 GHz
0 (0%)
Google Tensor G2 Google Tensor G2
8C 8T @ 2.85 GHz
789419 (100%)

Devices using this processor

MediaTek Dimensity 9300 Google Tensor G2
Unknown Google Pixel 7
Google Pixel 7 Pro

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