Qualcomm Adreno 690

Qualcomm Adreno 690 on Amazon USA

Specifications and performance with the benchmarks of the Qualcomm Adreno 690 graphics card dedicated to the tablet sector, it has 3 execution units, with 768 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 Qualcomm Adreno 690
Market (main) Tablet
Release date Q3 2020
GPU name Adreno 690
Architecture Adreno
Generation 6xx
Lithography 7 nm N7
Bus interface IGP
GPU base clock 661 MHz
GPU boost clock 680 MHz
Memory type LPDDR4X-4266
Memory bus 128 bit
Memory bandwidth 68.2 GB/s
Execution units 3
Shading units 768
Cache memory 1 MB
Triangle fillrate 340 MT/s
Pixel fillrate 9.0 GPixel/s
Performance FP16 (half) 4.2 TFLOPS
Performance FP32 (float) 2.1 TFLOPS
Performance FP64 (double) 522.2 GFLOPS

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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
Qualcomm Adreno 690 9
ARM Mali-G52 MP3 6.78
ARM Mali-G52 MP2 4.52
ARM Mali-G52 3EE MC2 4.52
ARM Mali-G52 MC1 2.26

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 690 4,177.9
Qualcomm Adreno 685 3,624.9

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 690 2,088.9
Qualcomm Adreno 685 1,812.4
Apple A12Z Bionic GPU 1,372.1
Apple A12X Bionic GPU 1,200.6
ARM Mali-G57 MC1 2EE 365

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 690 522.2
Qualcomm Adreno 685 453.1

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.

List of benchmarks:

FP32 Performance

Processors with the graphics card Qualcomm Adreno 690:

Microsoft SQ2Microsoft SQ3Qualcomm Snapdragon 8cx Gen 2 5GQualcomm Snapdragon 8cx Gen 3 5G


Qualcomm Adreno 690 Nvidia EquivalentQualcomm Adreno 690 AMD Equivalent

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