MediaTek Dimensity 1300 vs Google Tensor

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CPU comparison with benchmarks


MediaTek Dimensity 1300 CPU1 vs CPU2 Google Tensor
MediaTek Dimensity 1300 Google Tensor

CPU comparison

MediaTek Dimensity 1300 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 MediaTek Dimensity 1300 has 8 cores with 8 threads and clocks with a maximum frequency of 3.00 GHz. Up to 16 GB of memory is supported in 4 memory channels. The MediaTek Dimensity 1300 was released in Q1/2022.

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.
Mediatek Dimensity (36) Family Google Tensor (3)
MediaTek Dimensity 1100/1200/1300 (3) CPU group Google Tensor (1)
2 Generation 1
Cortex-A78 / Cortex-A55 Architecture G1
Mobile Segment Mobile
-- Predecessor --
-- Successor Google Tensor G2

CPU Cores and Base Frequency

The MediaTek Dimensity 1300 is a 8 core processor with a clock frequency of 3.00 GHz. The Google Tensor has 8 CPU cores with a clock frequency of 2.80 GHz.

MediaTek Dimensity 1300 Characteristic Google Tensor
8 Cores 8
8 Threads 8
hybrid (Prime / big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
3.00 GHz
1x Cortex-A78
A-Core 2.80 GHz
2x Cortex-X1
2.60 GHz
3x Cortex-A78
B-Core 2.25 GHz
2x Cortex-A76
2.00 GHz
4x Cortex-A55
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 1300 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.

ARM Mali-G77 MP9 GPU ARM Mali-G78 MP20
0.85 GHz GPU frequency 0.76 GHz
-- GPU (Turbo) --
Vallhall 1 GPU Generation Vallhall 2
7 nm Technology 5 nm
1 Max. displays 1
9 Compute units 20
144 Shader 320
No Hardware Raytracing No
No Frame Generation No
4 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.

ARM Mali-G77 MP9 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 / Encode Codec VC-1 Decode / Encode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The MediaTek Dimensity 1300 supports a maximum of 16 GB of memory in 4 memory channels. The Google Tensor can connect up to 12 GB of memory in 2 memory channels.

MediaTek Dimensity 1300 Characteristic Google Tensor
LPDDR4X-4266 Memory LPDDR5-5500
16 GB Max. Memory 12 GB
4 (Quad Channel) Memory channels 2 (Dual Channel)
34.1 GB/s Max. Bandwidth 53.0 GB/s
No ECC No
-- L2 Cache 8.00 MB
-- L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The MediaTek Dimensity 1300 has a TDP of --, that of the Google Tensor is 10 W.

MediaTek Dimensity 1300 Characteristic Google Tensor
-- TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The MediaTek Dimensity 1300 has a 0.00 MB cache, while the Google Tensor cache has a total of 8.00 MB.

MediaTek Dimensity 1300 Characteristic Google Tensor
6 nm Technology 5 nm
Chiplet Chip design Unknown
Armv8-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
Android Operating systems Android
Q1/2022 Release date Q4/2021
-- Release price --
show more data show more data


Rate these processors

Here you can rate the MediaTek Dimensity 1300 to help other visitors make their purchasing decisions. The average rating is 4.0 stars (2 ratings). Rate now:
Here you can rate the Google Tensor to help other visitors make their purchasing decisions. The average rating is 4.2 stars (5 ratings). Rate now:


Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
MediaTek Dimensity 1300 (80%)
Google Tensor (100%)
⌀ Multi core performance in 3 CPU benchmarks
MediaTek Dimensity 1300 (95%)
Google Tensor (97%)

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 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
878 (84%)
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.
MediaTek Dimensity 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
3225 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (90%)

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 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
1136 (76%)
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.
MediaTek Dimensity 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
3134 (86%)
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.
MediaTek Dimensity 1300 MediaTek Dimensity 1300
ARM Mali-G77 MP9 @ 0.85 GHz
979 (50%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (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.
MediaTek Dimensity 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
689042 (100%)
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.
MediaTek Dimensity 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
647817 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (95%)

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.
MediaTek Dimensity 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
6466 (100%)
Google Tensor Google Tensor
8C 8T @ 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).
MediaTek Dimensity 1300 MediaTek Dimensity 1300
8C 8T @ 3.00 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

MediaTek Dimensity 1300 Google Tensor
OnePlus Nord 2 Google Pixel 6
Google Pixel 6 Pro

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