Nokia G310 5G vs Samsung Galaxy A54 5G

Nokia G310 5G on Amazon USA
Samsung Galaxy A54 5G on Amazon USA

Comparison of the technical features between smartphones, with the Nokia G310 5G on one side and the Samsung Galaxy A54 5G on the other, also their respective performances with the benchmarks. The first has a processor with 8 cores, 8 threads, a maximale frequency of 2.2GHz. The second chips has a total of 8 cores, 8 threads, its turbo frequency is set to 2.4GHz. The following table also compares the lithography, the amount of RAM memory, the date of first broadcast, the values obtained in Geekbench.






Specification comparison:


SmartphoneNokia G310 5G Samsung Galaxy A54 5G
Model version(s)

TA-1573, TA-1581, TA-1591

SM-A5460, SM-A546B, SM-A546B/DS,
SM-A546E, SM-A546E/DS, SM-A546U,
SM-A546U1, SM-A546V
Release dateQ3 2023 Q1 2022
Network5G, GSM, HSPA, LTE 5G, GSM, HSPA, LTE
Dimensions6,5 x 2,98 x 0,34 in 6,23 x 3,02 x 0,32 in
Weight6.88 oz 7.13 oz
BodyFront glass,
aluminum body
Front glass,
plastic back,
aluminum frame
Screen size, colours6.6 inches, 16M colours 6.4 inches, 1000 nits, 16M colours
Screen typeIPS LCD, 90Hz Super AMOLED, 120Hz
Resolution720 x 1612 pixels 1080 x 2340 pixels
Screen ratio20:9 19.5:9
Density269 ppi 403 ppi
Operating systemAndroid 13 Android 13; One UI 5.1
ProcessorQualcomm SM4350-AC Snapdragon 480+ 5G Samsung Exynos 1380
Lithography8 nm LPP 5 nm LPE
Cores8 8
Threads8 8
Energy cores

6x Qualcomm Kryo 460 Silver @ 1.8 GHz

6x ARM Cortex-A55 @ 2.0 GHz
High performance cores

2x Qualcomm Kryo 460 Gold @ 2.2 GHz

2x ARM Cortex-A78 @ 2.4 GHz
GPU integrated graphicsQualcomm Adreno 619 ARM Mali-G68 MP5
GPU execution units2 5
GPU shading units128 80
GPU base clock825 MHz 800 MHz
GPU boost clock950 MHz 950 MHz
GPU FP32 floating point486.4 GFLOPS 608 GFLOPS
Memory4 GB RAM 6 / 8 GB RAM
Storage128 GB 128 / 256 GB
Memory cardUp to 1 TB Up to 1 TB
Photo

50 MP,
2 MP, f/2,4,
2 MP, f/2,4

50 MP, f/1,8,
12 MP, f/2,2,
5 MP, f/2,4
Video

1080p@30/60fps

4K@30fps,
1080p@30/60fps,
720p@480fps
Front photo

8 MP

32 MP, f/2,2, 26mm
Front video

1080p@30fps

4K@30fps,
1080p@30fps
WLANWi-Fi 802.11 b/g/n/ac Wi-Fi 802.11 a/b/g/n/ac/6
Bluetooth5.1, A2DP, LE 5.3, A2DP, LE
USBUSB Type-C 2.0 USB Type-C 2.0
Battery capacity5,000 mAh 5,000 mAh
Battery typeNon removable Li-Po Non removable Li-Po
Battery life (versatile use)~ 15 hours ~ 15 hours
Head SAR- -
Body SAR- -
AnTuTu349,676 512,033
Android PassMark Rating8,811 11,922
(Android)
Geekbench 4 single core
2,494 3,422
(Android)
Geekbench 4 multi-core
6,613 11,166
(Android)
Geekbench 5 single core
551 785
(Android)
Geekbench 5 multi-core
1,712 2,726
(Android)
Geekbench 6 single core
738 1,021
(Android)
Geekbench 6 multi-core
1,772 2,939
Amazon
eBay



We can easily compare the technical characteristics between these two smartphones. Both phones have an equivalent number of cores, the maximum frequency of Samsung Galaxy A54 5G is larger. The Nokia G310 5G has a newer release date.

Autonomy: the autonomy given is the one for a versatile use with video playback, web browsing, various applications, games, photos, etc ...



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 comparison with the benchmarks:


Performance comparison between the two smartphones, for this we consider the results generated on benchmark softwares such as Geekbench.


AnTuTu - Total Score
Samsung Galaxy A54 5G 512,033
Nokia G310 5G 349,676


The difference is 46%.


AnTuTu is one of the most popular apps in the world to evaluate and compare the power of a mobile device with the competition. It tests above all the power of calculation, the display of Web pages, the modeling of decorations in 3D, the management of the memory, the transfer of data.


Android PassMark Rating
Samsung Galaxy A54 5G 11,922
Nokia G310 5G 8,811


The difference in performance is 35%.


PassMark is a benchmarking software that performs several performance tests including prime numbers, integers, floating point, compression, physics, extended instructions, encoding, sorting. The higher the score is, the higher is the device capacity.




With Android:

Geekbench 4 - Multi-core & Single Core Score - Android
Samsung Galaxy A54 5G 3,422
11,166
Nokia G310 5G 2,494
6,613


In single core, the difference is 37%. In multi-core, the difference in terms of gap is 69%.


Geekbench 4 is a complete benchmark platform with several types of tests, including data compression, images, AES encryption, SQL encoding, HTML, PDF file rendering, matrix computation, Fast Fourier Transform, 3D object simulation, photo editing, memory testing. This allows us to better visualize the respective power of these devices. For each result, we took an average of 250 values on the famous benchmark software.

With Android:

Geekbench 5 - Multi-core & Single Core Score - Android
Samsung Galaxy A54 5G 785
2,726
Nokia G310 5G 551
1,712


In single core, the difference is 42%. In multi-core, the difference in terms of gap is 59%.


Geekbench 5 is a software for measuring the performance of a computer system, for fixed devices, mobile devices, servers. This platform makes it possible to better compare the power of the CPU, the computing power and to compare it with similar or totally different systems. Geekbench 5 includes new workloads that represent work tasks and applications that we can find in reality.



With Android:

Geekbench 6 - Multi-core & Single Core Score - Android
Samsung Galaxy A54 5G 1,021
2,939
Nokia G310 5G 738
1,772


In single core, the difference is 38%. In multi-core, the difference in terms of gap is 66%.


Geekbench 6 is a benchmarking platform that is capable of evaluating the performance of a device across multiple operating systems. The software evaluates processor power, with its ability to support different tasks, such as file compression, browsing; GPU computing capabilities, with image editing, video editing, gaming skills, machine learning workloads.






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