Oneplus 9 Pro caught cheating in benchmark scores, removed from geekbench – News2IN
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Oneplus 9 Pro caught cheating in benchmark scores, removed from geekbench

Oneplus 9 Pro caught cheating in benchmark scores, removed from geekbench
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The geekbench performance comparison platform has abolished the Oneplus 9 Pro smartphone and Oneplus 9 after a report by Anandtech revealed that the Oneplus 9 Pro smartphone was manipulating benchmarking scores.
“Very disappointing seeing oneplus handsets make performance decisions based on application identifiers rather than application behavior.
We see this as a form of benchmark manipulation.
We have eliminated Oneplus 9 and Oneplus 9 Pro from our Android benchmark graph,” Tweeted Geekbench.
Geekbench further said that it would test all oneplus phones to check whether other devices also did something similar.
“We will also test other Oneplus handsets in our performance lab to see if this handset also manipulates performance in the same way.
If they do it, we will delete it from the Android benchmark chart,” he added.
We will also test other Oneplus handsets in our performance lab to see if this handset also manipulates the performance …
https://t.co/tsglturjt- Geekbench (@GEEKBench) 1625585416000AndTech in its report saying that Oneplus 9 Pro software uses a detection mechanism Applications and deliberately continue to run popular applications such as Google Chrome, Firefox, Zoom, WhatsApp, Facebook, Instagram and “quite a number who have a level of popularity in the Play Stores store” in a slower processor core.
“In testing, I have encountered something that really confuses me, and caught my attention; Deferred to a slow browser measure that seems unexplained that is not in line with other Snapdragon 888 devices on the market, only get a small portion of the score and performance of other devices, “Clearly report by Anandtech.
So why didTlus do? “The only reasonable reason for such decisions is to increase the power efficiency of the device and battery life,” added the report.
Application detection is used by the company to make smartphones look stronger on the benchmarking platform, but instead of increasing the performance of benchmarks, companies reduce the performance of real world applications down theoretical hardware capabilities, “he said.

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