Test Samsung Galaxy A23: a 5G compatible long-distance runner

Test Samsung Galaxy A23: a 5G compatible long-distance runner

The photo has never really been the strong point of this type of device, but serious progress can be noticed, even in these price ranges. The Galaxy A23 5G thus offers a quad photosensor composed of a 50 Mpx wide-angle module whose lens opens at f/1.8, and which benefits -new this year- from optical stabilization. It is accompanied by an ultra wide angle of 5 Mpx (f / 2.2), a depth sensor of 2 Mpx and a macro module also of 2 Mpx (f / 2.4).

Main module: 50 megapixels, f/1.8

The main module uses the technology of the pixel bonding which allows the pixels (here, four in one) to be merged to capture more light when it runs out. So we take advantage of the 12.5-megapixel shots by default. The Redmi Note 11 Pro 5G, which this Galaxy A23 5G can be compared to, does the same thing by merging nine pixels into one to deliver 12MP photos.

Redmi Note 11 Pro 5G (26mm equivalent, f/1.8, ISO 100, 1/50s)

Samsung Galaxy A23 5G (12.5MP, f/1.8, ISO 32, 1/50s)

By day, the two smartphones opt for quite different treatment. The Galaxy A23 5G does quite well and offers a fairly smooth shot. The Redmi Note 11 Pro 5G offers a higher level of detail and better sharpness, as can be seen in the faces, the book cover or the cards. On the other hand, the general colorimetry tends too much to red. This is usually the case on Xiaomi devices.

Although less accurate, the photo of the Galaxy A23 5G shows a more flattering tone. The Redmi retains our preference, but it is possible to capture convincing shots with the Samsung mobile.

Redmi Note 11 Pro 5G (12MP, f/1.8, ISO 4700, 1/15s)

In the dark, things go very wrong. The Galaxy A23 5G sees its level of detail drop drastically. The South Korean smartphone can’t really transcribe the scene, and the digital smoothing is too pronounced. Its Chinese rival operates a significant increase in ISO and reinforces the contrast to offer a much better result, despite the appearance of noise.

50MP mode

Of course, it is possible to opt for the 50 megapixel mode. We isolated an area of ​​identical size in each of the images to be able to compare the two definitions.

50MP night mode

50MP day mode

In a bright environment, we see that the mode allows a little more detail to be recovered. But it’s not compelling enough to use constantly…and clutter up your phone’s memory at the same time. It brings almost no gain during night shots. Therefore, we can use it occasionally for shots that need to be cropped afterwards.

Ultra wide angle module: 5 Mpx f / 2.2, 123 °

The competitors of the Galaxy A23 5G have more defined ultra wide angle modules. This is the case of the Redmi Note 11 Pro 5G (8 Mpx).

Redmi Note 11 Pro 5G (8MP, f/2.2, ISO 60, 1/50s)

Samsung Galaxy A23 5G (5MP, f/2.2, ISO 100, 1/100s)

The performance of this module is far from equal to that of the main sensor. Even during the day, the level of detail is too low and the overall color quite dull. The Redmi is far from shining in exercise, but it offers a much sharper and more accurate rendering (see the color patterns). Unfortunately, it again shows an overly saturated colorimetry, with a strong drift towards red.

Redmi Note 11 Pro 5G (f/2.2, ISO 2900, 1/14 sec)

Samsung Galaxy A23 5G (5MP, f/2.2, ISO 800, 1/6s)

At night, neither smartphone offers a truly usable shot, but the Redmi Note 11 Pro 5G’s digital smoothing is less aggressive. This allows you to better distinguish elements in the scene, even if you shouldn’t expect miracles.

Front and video module

On the front, the smartphone has an 8 Mpx sensor whose lens opens at f / 2.2. Selfies are of good quality, as long as they are well exposed. However, his older brothers (A33, A53) are doing much better. The shots lack a bit of detail, but the colorimetry is natural.

Portrait mode works pretty well, but it will easily get confused if the background is too busy or there are frills. The A23 5G is capable of shooting in Full HD at 30 frames per second, with a quite convincing result. Images are accurate and benefit from good dynamic range.

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