Vivo V23 test: a beautiful smartphone that attracts selfie lovers

On the back, this V23 chooses a configuration that is now quite common. We are therefore entitled to a wide angle of 64 Mpx, whose lens opens at f / 1.9, an ultra wide angle of 8 Mpx (f / 2.2) and a macroscopic sensor of 2 Mpx (f / 2, 4).

A set comparable to that of the latest Oppo Find X5 Lite, which is equipped with quite similar sensors.

Main module: 64 megapixels, f / 1.9, eq. 24 mm

The 64 Mpx module benefits from the technology pixel binding, which allows pixels to be merged together (here with four) to capture more light and provide more sharpness. The phone therefore delivers standard snapshots in 16 megapixels.

Oppo Find X5 Lite (16 Mpx, f / 1.7 eq. 25 mm, ISO 230, 1/50 s)

Vivo V23 (16 Mpx, f / 1.9 eq. 24 mm, ISO 183, 1/100 s)

The two smartphones choose a rather different treatment. V23 highlights the contrast to deliver a clearly legible scene (see map). But we lose precision against Find X5 Lite, which offers more details and a slightly more saturated general colorimetry, which flatters the eye. The patterns are clearly visible on the two shots, but that of Vivo lacks a bit of sharpness. On the other hand, it does well in the periphery, which is not seen in this part of the photo.

Oppo Find X5 Lite (16 Mpx, f / 1.7 eq. 25 mm, ISO 6902, 1/10 s)

Vivo V23 (16 Mpx, f / 1.9 eq. 24 mm, ISO 4954, 1/15 s)

At night, the situation is quite similar. This V23 transcribes the scene quite well, but the Find X5 Lite offers a little more detail (see the two portraits) and a little lighter colors. The exposure is also better controlled, and the patterns a little sharper. However, the difference is not clear.

64 MP mode

It is possible to enforce full definition in the settings. As usual, we isolated an area of ​​the same size on each of the shoots. You can see the difference in the definition.

64 MP night mode

64 MP day mode

Under good conditions, the full definition rendering is interesting and allows you to enjoy a sharper and more detailed image. In the dark, on the other hand, the result is much less convincing than with pixel binding activated. The sharpness is much less than in standard mode. As you probably understand, we recommend this mode during the day, although the images inevitably weigh heavier on the (generous) storage of this V23.

Ultra-wide-angle module: 8 megapixels, f / 2.2, eq. 16 mm

Oppo Find X5 Lite (8 Mpx, f / 2.2, lign. 15 mm, ISO 288, 1/100 s)

Vivo V23 (8 Mpx, f / 2.2, lign. 16 mm, ISO 339, 1/100 s)

At first glance, it is easy to see that this second sensor does not have the same ambitions. It’s even very disappointing. A hazy haze fell over the stage and the level of detail dropped sharply. We can still distinguish the main elements, but the algorithm fails to force the contrast to bring out each individual object more clearly and make it all really useful. In addition, the distortion in the peripheral areas of the image is very pronounced. Find X5 Lite is far from shining in the exercise, but its results are still more readable.

Oppo Find X5 Lite (8 Mpx, f / 2.2, lign. 15 mm, ISO 7812, 1/20 s)

Vivo V23 (8 Mpx, f / 2.2, lign. 16 mm, ISO 4995, 1/15 s)

Few smartphones master this exercise at night. It is not surprising that this V23 is struggling and its low exposure prevents it from regaining enough detail. The result is final.

Front and video module

The main sensor on the V23 allows movie recording in 4K and Full HD at 30 fps. The result is quite good and enjoys a natural finish. There are always some difficulties with the handling of highlights, but this is often the case in this price segment. Electronic stabilization is quite effective on both modules.

This Vivo V23 stands out with the presence of a dual photosensor on the front. There is a main module of 50 Mpx coupled with an ultra wide angle of 8 Mpx. As on the previous version, they are assisted by two LED spotlights located in the upper part of the screen. These make it possible to capture selfies of superior quality in any situation. We decided to run them through our test scene in a dedicated lab article.

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