Qualcomm Adreno 732


Qualcomm Adreno 732 on Amazon USA


Specifications and performance with the benchmarks of the Qualcomm Adreno 732 graphics card dedicated to the smartphone sector, it has 3 execution units, with 768 shading units, its maximum frequency is 0.9GHz 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.







Specifications:


Graphics card Qualcomm Adreno 732
Market (main) Smartphone
Release date Q2 2024
GPU name Adreno 732
Architecture Adreno
Generation 7xx
Lithography 4 nm N4P
Bus interface IGP
GPU base clock 818 MHz
GPU boost clock 900 MHz
Memory type LPDDR4X-3732, LPDDR5-4200
Memory bus 128 bit
Memory bandwidth 64.0 GB/s
Execution units 3
Shading units 768
Cache memory 1.0 MB
Triangle fillrate 1,967 MT/s
Pixel fillrate 25.3 GPixel/s
Performance FP16 (half) 5.8 TFLOPS
Performance FP32 (float) 2.9 TFLOPS
Performance FP64 (double) 729.2 GFLOPS
Amazon
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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
Samsung Xclipse 920 64
ARM Mali-G710 MP10 57.5
ARM Mali-G710 MC10 57.5
ARM Mali-G710 MP7 40.25
Qualcomm Adreno 740 30.6
Qualcomm Adreno 732 25.3
Qualcomm Adreno 730 24
Qualcomm Adreno 725 21.55
Qualcomm Adreno 720 21.55
Qualcomm Adreno 710 21.55



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.




FP16 performance comparison (half precision; float; floating-point 16) for this graphics card:


FP16 Performance in GFLOPS
Qualcomm Adreno 750 11,096
Qualcomm Adreno 740 7,362.5
Qualcomm Adreno 732 5,833.7
Qualcomm Adreno 730 5,529.6
Qualcomm Adreno 660 3,706.8
Qualcomm Adreno 725 3,563.5
Qualcomm Adreno 720 3,563.5



The power in FP16, i.e. in a half-precision floating point format, makes it possible to evaluate the ability of the graphics card to manipulate useful data for example in computer applications, such as deep learning with neural networks. These applications use numeric values that have less precision, and therefore require less memory, compared to values with single or double precision formats.


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


FP32 Performance in GFLOPS
Qualcomm Adreno 750 5,548
Qualcomm Adreno 740 3,681.3
ARM Immortalis-G715 MC11 3,590.4
ARM Immortalis-G715 MC10 3,264
ARM Immortalis-G715s MC10 3,264
Qualcomm Adreno 732 2,918.4
Qualcomm Adreno 735 2,816
Qualcomm Adreno 730 2,764.8
ARM Mali-G715 MP7 2,415.8
ARM Mali-G78 MP24 2,331.6



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.


FP64 performance comparison (double precision; float; floating-point 64) for this graphics card:


FP64 Performance in GFLOPS
Qualcomm Adreno 750 1,387
Qualcomm Adreno 740 920.3
Qualcomm Adreno 732 729.2
Qualcomm Adreno 730 691.2
Qualcomm Adreno 660 463.3
Qualcomm Adreno 725 445.4
Qualcomm Adreno 720 445.4



FP64 performance refers to solvers with double precision. We can thus determine how many operations the GPU can calculate for certain specific tasks, such as scientific calculations, climate forecasts, calculations related to fluid dynamics, geophysics, computational chemistry. The FP64 power capabilities are mainly intended for professionals who wish to carry out advanced calculations.



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List of benchmarks:

FP32 Performance



Smartphones with the graphics card Qualcomm Adreno 732:

Realme GT Neo6 SE

Processors with the graphics card Qualcomm Adreno 732:

Qualcomm SM7675 Snapdragon 7+ Gen 3

Equivalence:

Qualcomm Adreno 732 Nvidia EquivalentQualcomm Adreno 732 AMD Equivalent




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