More versions in sight: Xiaomi Redmi Note 9T goes through Geekbench


It is not a novelty that Xiaomi has established a mobile launch system with numerous variants of its most relevant phones, something that for many is something positive due to the ease of finding exactly what they are looking for in benefits and for others it ends up becoming something really confused. In 2021 this path will not change, since the Xiaomi Redmi Note 9T has already been leaked.

While many await the first novelties of the 10 series of the Note range, at least in the first months of the year they will continue to bet on the current family of Smartphones. In the past week the Geekbench 5 analysis tool has had the first analysis of the Xiaomi M2007J22G, an internal name that will end up being the Xiaomi Redmi Note 9T.

First details of Xiaomi Redmi Note 9T

Geekbench file of Xiaomi Redmi Note 9T

At the beginning of December the same name of the terminal had emerged in an NBTC certification, so there is no doubt that this model is being faced and that it will logically be presented in a short time. In addition, the letter G at the end of its internal name ensures that it is not a phone oriented solely for the Chinese market , although logically it is still not clear which international territories it will initially reach.

From the record it can be seen that Redmi Note 9T uses an eight-core MediaTek Dimensity 800U processor at a frequency of 2.0 GHz, followed by a total of 4 GB of RA memory and Android 10 operating system out of the box, while its results marked a score of 598 points in a single core and 1760 points in multi-core. It is clearly a mid-range model that will prioritize an affordable price.

In this way, Xiaomi Redmi Note 9T will join a large list of options with a name, design and similar (but not identical) characteristics that logically part of the original Redmi Note 9 released last May, in addition to the Pro and Pro Max versions. As if that were not enough, it also had 4G and 5G editions, so with Xiaomi you always have to be a little careful to avoid confusion when choosing the ideal model.

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