Qualcomm Adreno 642L

Qualcomm Adreno 642L on Amazon USA

Specifications and performance with the benchmarks of the Qualcomm Adreno 642L graphics card dedicated to the smartphone sector, it has 2 execution units, with 192 shading units, its maximum frequency is 0.6GHz 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 642L
Market (main) Smartphone
Release date Q1 2021
GPU name Adreno 642L
Architecture Adreno
Generation 6xx
Lithography 6 nm N6
Bus interface IGP
GPU base clock 490 MHz
GPU boost clock 550 MHz
Memory type LPDDR4X-4266
Memory bus 64 bit
Memory bandwidth 17.0 GB/s
Execution units 2
Shading units 192
Cache memory 1.0 MB
Performance FP16 (half) 1.7 TFLOPS
Performance FP32 (float) 844.8 GFLOPS
Performance FP64 (double) 211.2 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.

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

FP16 Performance in GFLOPS
Qualcomm Adreno 725 3,563.5
Qualcomm Adreno 720 3,563.5
Qualcomm Adreno 643L 2,494.4
Qualcomm Adreno 643 2,494.4
Qualcomm Adreno 642L 1,689.6
Qualcomm Adreno 642 1,689.6
Qualcomm Adreno 619L 972.8
Qualcomm Adreno 619 972.8
Qualcomm Adreno 618 844.8
Imagination PowerVR GM9446 256

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 640 954.7
ARM Mali-G610 MP6 916
ARM Mali-G615 MC6 916
ARM Mali-G610 MC6 916
Qualcomm Adreno 642L 844.8
Qualcomm Adreno 642 844.8
ARM Mali-G77 MP9 800.2
ARM Mali-G77 MC9 800.2
ARM Mali-G76 MP16 783.4
Apple A10X Fusion GPU 768

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 725 445.4
Qualcomm Adreno 720 445.4
Qualcomm Adreno 643L 311.8
Qualcomm Adreno 643 311.8
Qualcomm Adreno 642L 211.2
Qualcomm Adreno 642 211.2
Qualcomm Adreno 619L 121.6
Qualcomm Adreno 619 121.6
Qualcomm Adreno 618 105.6

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

Smartphones with the graphics card Qualcomm Adreno 642L:

Honor 50Honor 50 ProHonor 60Honor 60 ProHonor 70Honor 80Honor V PurseHuawei Mate 50EHuawei Nova 10Huawei Nova 10 ProHuawei Nova 11Huawei Nova 11 ProHuawei Nova 11 UltraHuawei Nova 12sHuawei Nova 9Huawei Nova 9 ProMotorola Edge (2021)Motorola Edge 20Motorola Edge 30Motorola Edge 5G UW (2021)Nothing Phone (1)OnePlus Nord CE3 5GOppo K11Oppo Reno10Oppo Reno9Realme 9 5G SERealme 9 5G SpeedRealme GT Master EditionRealme Q3sRealme Q3tSamsung Galaxy A52s 5GSamsung Galaxy A73 5GSamsung Galaxy M52 5GSamsung Galaxy Xcover6 ProVivo iQOO Z5Vivo iQOO Z6 ProVivo S17Vivo T1Vivo T1 Pro 5GVivo V29 5GVivo Y10Xiaomi 11 Lite 5G NEXiaomi 12 LiteXiaomi CiviXiaomi Civi 1SXiaomi Poco X5 Pro 5GXiaomi Redmi Note 12 Pro Speed

Processors with the graphics card Qualcomm Adreno 642L:

Qualcomm SM7325 Snapdragon 778G 4GQualcomm SM7325 Snapdragon 778G 5GQualcomm SM7325-AE Snapdragon 778G+ 5GQualcomm SM7325-AF Snapdragon 782G


Qualcomm Adreno 642L Nvidia EquivalentQualcomm Adreno 642L AMD Equivalent

GadgetVersus.com © 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.