ARM Mali-G72 MP12

ARM Mali-G72 MP12 on Amazon USA

Specifications and performance with the benchmarks of the ARM Mali-G72 MP12 graphics card dedicated to the smartphone sector, it has 12 execution units, with 192 shading units, its maximum frequency is 0.7GHz The table below makes it possible to observe well the lithography, the number of transistors (if present), the offered cache memory, the quantity of texture mapping units, of render output units, the release date, the GFLOPS performance, the values obtained in the benchmark platforms.


Graphics card ARM Mali-G72 MP12
Market (main) Smartphone
Release date Q3 2017
GPU name Mali-G72
Architecture Bifrost
Lithography 16 nm
Bus interface IGP
GPU clock 746 MHz
Execution units 12
Shading units 192
Cache memory 1 MB
Triangle fillrate 319 MT/s
Pixel fillrate 9.0 GPixel/s
Performance FP32 (float) 286.5 GFLOPS

Price: For technical reasons, we cannot currently display a price less than 24 hours, or a real-time price. This is why we prefer for the moment not to show a price. You should refer to the respective online stores for the latest price, as well as availability.

Performance with the benchmarks:

Performance comparison between this graphics card and those of equivalent power, for this we consider the results generated on benchmark softwares and rendering performances.

Pixel fillrate performance comparison for this graphics card:

Pixel Fillrate Performance in GPixels/s
ARM Mali-G68 MP5 15
ARM Mali-G68 MC4 12
ARM Mali-G68 MP4 12
ARM Mali-G72 MP18 10.3
ARM Mali-G57 MP6 10.2
ARM Mali-G72 MP12 8.95
Imagination PowerVR IMG BXM-8-256 8
ARM Mali-G52 MP6 6.8
ARM Mali-G68 MP2 6
ARM Mali-G57 MP3 5.1

The term pixel fillrate is refering to the number of pixels that the video card is able to generate every second. This performance is achieved by multiplying the raster output units (ROPs) by the clock frequency of the graphics processor unit (GPU). Matrix and vector operations allow pixel pipelines to process pixels and texels stored in the buffer. The ROPs will then generate transactions between the buffer and local memory. You should know that the higher the pixel rate, the greater the screen resolution that the GPU can manage.

FP32 performance comparison (single precision; float; floating-point 32) for this graphics card:

FP32 Performance in GFLOPS
ARM Mali-G72 MP18 370
ARM Mali-G57 MP3 364.8
ARM Mali-G57 MC3 364.8
Qualcomm Adreno 615 358.4
Samsung Xclipse 530 333
ARM Mali-G72 MP12 286.5
Imagination PowerVR IMG BXM-8-256 256
ARM Mali-G57 MP2 243.2
ARM Mali-G68 MP2 243.2
ARM Mali-G57 MC2 243.2

Single-precision floating-point format, also called FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point. FP32 power helps assess the video card's capabilities for generating rendering workloads. Video games use INT32 and FP32 cores to manage calculations with integers and numbers with decimals in order to produce maps, bone matrices on which the vertex shaders will calculate the vertices. Values in single precision format are mainly used in video games and 3D software.

List of benchmarks:

FP32 Performance

Smartphones with the graphics card ARM Mali-G72 MP12:

Honor 10Honor Note 10Honor PlayHonor V10Honor View 10Huawei Mate 10Huawei Mate 10 ProHuawei Mate RS Porsche DesignHuawei Nova 3Huawei Nova 4Huawei P20Huawei P20 Pro

Processors with the graphics card ARM Mali-G72 MP12:

HiSilicon Kirin 970


ARM Mali-G72 MP12 Nvidia EquivalentARM Mali-G72 MP12 AMD Equivalent © 2024 - About us - XML sitemap - Privacy policy - Advertising policy - Contact


When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.

As an Amazon Associate I earn from qualifying purchases.

This page includes affiliate links for which the administrator of GadgetVersus may earn a commission at no extra cost to you should you make a purchase. These links are indicated using the hashtag #ad.


We do not assume any responsibility for the data displayed on our website. Please use at your own risk. Some or all of this data may be out of date or incomplete, please refer to the technical page on the respective manufacturer's website to find the latest up-to-date information regarding the specifics of these products.