Samsung Galaxy J2 Ace vs Cubot X30

Samsung Galaxy J2 Ace on Amazon USA
Cubot X30 on Amazon USA

Comparison of the technical features between smartphones, with the Samsung Galaxy J2 Ace on one side and the Cubot X30 on the other. The first has a processor with 4 cores, 4 threads, a maximale frequency of 1.5GHz. The second chips has a total of 8 cores, 8 threads, its turbo frequency is set to 2.0GHz. The following table also compares the lithography, the amount of RAM memory, the date of first broadcast, the values obtained in Geekbench 4.






Specifications:


Smartphone Samsung Galaxy J2 Ace Cubot X30
Model version(s) Samsung SM-G532G X30
Release date Q4 2016 Q2 2020
Network GSM, HSPA, LTE CDMA, GSM, HSPA, LTE
Dimensions 5,70 x 2,84 x 0,35 in 6,18 x 3,01 x 0,33 in
Weight 5.64 oz 7.47 oz
Body Front glass,
plastic body
Front glass,
plastic body
Screen size, colours 5.0 inches, 16M colours 6.4 inches, 16M colours
Screen type PLS TFT IPS LCD
Resolution 540 x 960 pixels 1080 x 2310 pixels
Screen ratio 16:9 19:9
Density 220 ppi 398 ppi
Operating system Android 6.0 Android 10
Processor MediaTek MT6737T MediaTek MT6771V Helio P60
Lithography 28 nm 12 nm HPM
Cores 4 8
Threads 4 8
Energy cores - 4x ARM Cortex-A53 @ 2.0 GHz
High performance cores 4x ARM Cortex-A53 @ 1.5 GHz 4x ARM Cortex-A73 @ 2.0 GHz
GPU integrated graphics ARM Mali-T720 MP2 ARM Mali-G72 MP3
GPU execution units 2 3
GPU shading units 32 48
GPU clock 600 MHz 800 MHz
GPU FP32 floating point 22.7 GFLOPS 86.4 GFLOPS
Memory 1.5 GB RAM 6 / 8 GB RAM
Storage 8 GB 128 / 256 GB
Memory card Up to 256 GB Up to 256 GB
Photo 8 MP, f/2,2, AF 48 MP, f/2,2
16 MP,
5 MP,
2 MP
Video 720p30 1080p30
Front photo 5 MP, f/2,2 32 MP
Front video - 1080p30
WLAN Wi-Fi 802.11 b/g/n Wi-Fi 802.11 a/b/g/n
Bluetooth 4.2, A2DP 5.0, A2DP, LE
USB microUSB 2.0 USB Type-C 2.0
Battery capacity 2,600 mAh 4,200 mAh
Battery type Non removable Li-Ion Non removable Li-Ion
Battery life (versatile use) ~ 14 hours and 10 minutes ~ 9 hours
AnTuTu 26,468 166,253
Android PassMark Rating 702 5,069
(Android 64-bit)
Geekbench 4 single core
520 1,420
(Android 64-bit)
Geekbench 4 multi-core
1,445 5,309
Amazon
eBay



We can easily compare the technical characteristics between these two smartphones. The phone Cubot X30 has a larger number of cores, the maximum frequency of Cubot X30 is larger. The Cubot X30 was started more recently.

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.



Performances :


Performance comparison between the two smartphones, for this we consider the results generated on benchmark softwares such as Geekbench 4.


AnTuTu - Total score
Cubot X30 166,253
Samsung Galaxy J2 Ace 26,468


The difference is 528%.


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
Cubot X30 5,069
Samsung Galaxy J2 Ace 702


The difference in performance is 622%.


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.


On Android 64-bit:

Geekbench 4 - Multi-core & single core score - Android 64-bit
Cubot X30 1,420
5,309
Samsung Galaxy J2 Ace 520
1,445


In single core, the difference is 173%. In multi-core, the difference in terms of gap is 267%.


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.




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