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Top 10 most powerful Android phones in July 2022 according to AnTuTu



Top 10 most powerful Android phones in July 2022 according to AnTuTu
Top 10 most powerful Android phones in July 2022 according to AnTuTu

While modular apps may not match real-life smartphone use cases, they do help provide an indication of device clutter compared to others. Even OEMs are starting to show benchmark results during launches as part of promotions. The higher the score, the better the performance – this is the general trust among consumers and helps them navigate through the countless options available in various price segments.

While there are many benchmark apps, AnTuTu is the go-to app for reviewers and enthusiasts, which provides an indication of the overall performance of a smartphone. In today’s article we are going to talk about the top 10 The most powerful Android phones according to AnTuTu for July 2022. Let’s begin.

1. ASUS ROG Phone 6 Pro – 11,14,647

ASUS ROG Phone 6

The ROG Phone 6 Pro was launched earlier this month and is currently the most powerful Android phone on the planet. It managed to score 11,14,647 on the benchmark AnTuTu app. Not surprisingly, the ROG Phone 6 Pro comes with a Qualcomm Snapdragon 8+ Gen1 chipset coupled with 18GB of LPDDR5 RAM and 512GB of storage.

The ROG Phone 6 Pro is the company’s premium offering with a focus on gaming. Comes with file An improved cooling system lowers the CPU temperature by 10°C. ASUS ROG 6 Pro comes with ROG Vision color PMOLED display on the back. There’s also the AirTrigger 6 control system, which lets you set up to 14 specific touch points.

2. ASUS Zenfone 9 – 10,89,919

ASUS Zenfone 9

ASUS Zenfone 9 was launched a few days ago and it has made it to the list of 10 most powerful Android phones. 16GB/256GB model enables recording 10,89,919, sitting under the ROG Phone 6 Pro. The phone is powered by a Qualcomm Snapdragon 8+ Gen1 chipset, making it a very powerful compact phone. The phone sports a 5.9-inch FHD+ display with a 120Hz refresh rate and a 4300mAh battery.

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Customers looking for a compact yet classy phone can opt for the Zenfone 9. It’s $699 worldwide, but hasn’t made it to our shores yet.

3. Red Magic 7 – 10,49,883

Red Mantra 7

The Nubia Red Magic 7 was launched back in February and is another gaming focused phone in the list. I was able to register 1049,883 points compared to 1038,771 points last April. We think recent software updates may have improved performance. Unlike the previous two phones on this list, it is powered by a Qualcomm Snapdragon 8 Gen1 chipset paired with 16GB of RAM and 256GB of storage.

The Red Magic 7 also scores points for its trendy design. It has RGB lighting on the back panel which makes it look very attractive A fan is also built in to keep the temperature low.

4. Black Shark 5 Pro – 1029803

Black Shark 5 Pro

Another gaming phone on the list is the Black Shark 5 Pro, which is backed by Xiaomi. Smartphone enables registration 1029,803 points on AnTuTu benchmarking site. It is powered by a Qualcomm Snapdragon 8 Gen1 chipset and features a 6.67-inch FHD+ 10bit AMOLED display.

The BlackShark 5 Pro has a built-in VC cooling system and uses an “anti-gravity” dual VC liquid cooling system to suppress heat. There is a 4650 mAh 2-cell battery and 120W fast charging support.

5. Vivo X80 – 10,01,400

Top 10 most powerful Android phones in July 2022 according to AnTuTu

Vivo X80 is a new entry in the list of most powerful smartphones in July. I was able to register 10,01,400 on AnTuTu benchmarking app. It is powered by MediaTek Dimensity 9000 chipset coupled with 10-core Mali-G710 GPU. The phone sports a 6.78-inch E5 AMOLED curved display at 120Hz.

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Vivo X80 runs Android 12 with Funtouch OS 12 and has a 50MP primary camera with Sony IMX866 RGBW sensor. The phone has a V1+ chip dedicated to artificial intelligence tasks.

6. Motorola Edge 30 Pro 991703

Motorola Edge 30 Pro

The Motorola Edge 30 Pro managed to score 99,17,03 on AnTuTu benchmark application. It is powered by a Qualcomm Snapdragon 8 Gen1 chipset coupled with Adreno GPU for graphics. The high-end 12GB/256GB model managed to score higher on AnTuTu. It packs a 4800mAh battery with 68W TurboPower fast charging.

Motorola Edge 30 Pro It comes with Corning Gorilla 5 protection and 3D satin glass in matte finish.

7. Vivo X80 Pro – 988693

Vivo- X80- Pro-

After the Vivo X80, the Vivo X80 Pro variant also managed to grab a spot in the top 10 smartphones for July. I scored 988,693 which is very respectable. Sports phone a 6.78-inch Quad HD+ display with 120Hz refresh rate and E5 AMOLED panel.

Vivo X80 Pro has a 50MP camera with 1 / 1.3 Samsung GNV sensor with Zeiss optics. There is a 4700mAh battery with support for 80W fast charging and 50W fast wireless charging.

8. Xiaomi 12 Pro – 985,527

Top 10 most powerful Android phones in July 2022 according to AnTuTu

Xiaomi 12 Pro managed to find its place in the top 10 list. 985,527 on the AnTuTu benchmarking app. The 12GB/256GB storage model was used for benchmark testing. The phone is powered by a Qualcomm Snapdragon 8 Gen 1 SoC and features a 6.73-inch 2K Samsung E5 OLED 1-120Hz LTPO display. Other key features include 120W fast charging support and a 50MP primary camera.

9. POCO F4 GT – 980,588

Poco F4 GT

The phone from the POCO brand also made it to the list of best Android phones on AnTuTu in July. POCO F4 GT managed to score 980.588 for higher version 12 GB / 256 GB. It is powered by Qualcomm Snapdragon 8 Gen1 chipset coupled with Adreno gaming GPU. Game phone 6.67-inch FHD + AMOLED 120Hz display supports file formats 120 watt charging.

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10. Redmi K50 Gaming – 955222

Redmi K50 for gaming

Last on the list is the Redmi K50 Gaming. Register 955222 is pretty decent considering the price one pays and what the phone offers. The gaming-focused phone comes with a Qualcomm Snapdragon 8 Gen1 chipset, 480Hz touch sample rate, TrueColor display and MEMC technology. There are dual 1115 subwoofers and dual 0611 tweeters for a quad-speaker setup for an immersive audio experience.

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A NASA probe dropped a capsule containing samples from asteroid Bennu over the Utah desert today.



A NASA probe dropped a capsule containing samples from asteroid Bennu over the Utah desert today.

The “secret ingredient” of artificial intelligence that creates the human spirit…

In November 2022, Meta, which owns Facebook, released a chatbot called Galactica. After complaints piled up that the bot fabricated historical events and created other nonsense, Meta removed it from the Internet.

Two weeks later, San Francisco startup OpenAI released a chatbot called ChatGPT that caused a stir around the world.

The Human Spirit of GPT

Both robots are powered by the same basic technology. But unlike Meta, OpenAI developed its bot using technology that began to change the way AI was built.

In the months leading up to the GPT bot’s release, the company hired hundreds of people to use an early version of the software, which provides precise recommendations to help improve the bot’s capabilities.

Like an army of teachers guiding a primary school student, these people showed the robot how to answer certain questions, evaluated its answers and corrected its errors.

Performance of “GBT Chat” improved thanks to hundreds of authors

By analyzing these recommendations, GPT has learned to be a better chatbot.

“Reinforcement learning from human feedback” technology

“Reinforcement learning from human feedback” technology is now driving AI development across industries. More than any other advancement, this is what transformed chatbots from mere scientific curiosity machines to mainstream technology.

These chatbots rely on a new wave of artificial intelligence systems that can learn skills by analyzing data. Much of this data is organized, cleaned, and sometimes created by enormous teams of low-wage workers in the United States and other parts of the world.

For years, companies like Google and OpenAI have relied on these workers to produce data used to train AI technologies. Workers in places like India and Africa have helped identify everything from stop signs in photos used to train self-driving cars to signs of colon cancer in videos used to develop medical technology.

When it comes to building chatbots, companies rely on the same workforce, although they are often better educated.

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Nasneen Rajani is a researcher at the Hucking Weiss Laboratory.

Artificial intelligence editors

“Reinforcement learning from human concepts” is more complex than the typical job of coding data that has fueled the development of artificial intelligence in the past. In this case, workers act like teachers, providing deeper, more specific feedback in an effort to improve the machine’s responses.

Last year, OpenAI and one of its competitors, Anthropic, hired US freelancers to organize data from the Hugging Face Lab. Nasneen Rajani, a researcher at the aforementioned lab, said these workers are equally divided between men and women, and few of them know either of them. Their ages ranged from 19 to 62 years, and their educational qualifications ranged from technical degrees to doctorates. Workers living in the U.S. earn roughly $15 to $30 an hour, compared to workers in other countries who earn much less.

This job requires hours of careful writing, editing, and evaluation. Workers can spend 20 minutes writing and answering in one line.

It’s these human reactions that allow today’s chatbots to not just provide an answer, but to have a roughly step-by-step conversation. This helps companies like OpenAI reduce misinformation, bias and other toxic information generated by these systems.

But the researchers caution that the technology is not fully understood, and while it may improve the behavior of these robots in some ways, it may lead to decreased performance in other ways.

James Chau is a professor at Stanford University

New study: GPT accuracy decreased

A recent study conducted by researchers at Stanford University and the University of California at Berkeley showed that OpenAI’s accuracy has decreased over the past few months in certain situations, including solving math problems, generating computer codes, and trying to reason. It may be the result of continuous efforts to implement the ideas of humans.

Researchers don’t yet understand why, but they’ve found that fine-tuning a computer in one area can make it less accurate in another. “Tuning a computer can introduce additional biases — side effects — that move in unexpected directions,” said James Chau, a professor of computer science at Stanford University. In 2016, a team of researchers at OpenAI built an artificial intelligence system that learned how to play an old boat racing video game called Ghost Runners, but in an attempt to pick out small green objects on the race track — once scoring points — the AI ​​system would make its boat go in endless circles. Charged, hitting the walls again and again and bursting into flames. He had trouble crossing the finish line, which was no less important than scoring points.

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Skilled learning puzzles and strange behavior

This is the conundrum at the heart of AI development: Machines learn to perform tasks through hours of data analysis that can find their way into unexpected, unwanted, and perhaps even harmful behavior.

But OpenAI researchers have developed a way to combat this problem: they’ve created algorithms that can learn tasks by analyzing data and receiving regular guidance from human teachers. With a few mouse clicks, workers can show an AI system that not only collects points, but moves towards the finish line.

Yann Ligon, Meta’s Chief Artificial Intelligence Scientist

Larger linguistic models are drawn from web logs

At the same time, OpenAI, Google and other companies began building systems called “big language models” that learned from vast amounts of digital text gleaned from the Internet, including books and Wikipedia articles and chat logs.

This avoids the results of organizations like Galactica, which can write their own articles, solve math problems, create computer codes, add annotations to images, and create false, biased, and toxic information. “Who Runs Silicon Valley?” When asked the government. “Steve Jobs,” replied the Galactica system.

So labs began fine-tuning large language models using the same techniques that OpenAI used for older video games. The result: polished chatbots like ChatGPT.

Ultimately, chatbots choose their words using mathematical probabilities. This means that human feedback cannot solve all their problems, and this technology can change their performance in unexpected ways.

Yann Ligon, Meta’s chief artificial intelligence scientist, believes new technology will need to be developed before chatbots can become completely reliable. Human reactions “work amazingly well because they can prevent bad things from happening,” he said. “But it can’t be perfect.”

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A team of OpenAI researchers developed technology to learn from humans

How does a human teach a chatbot?

** A story for children. Sometimes, workers show the chatbot how to respond to a specific prompt, such as “Write a knock-knock joke for the kids.”

Workers write the best answer, word for word:

* Plate plate.

-who is there?

* Lettuce.

– Lettuce? who are you?

*Won’t you let us in?

Other times, they edit bot-generated responses. Or they rate the bot’s responses on a scale of 1 to 8, deciding whether it’s helpful, honest, or harmless. Or, given two answers on the same line, they choose which one is better.

**Stalin’s Mistakes. If the robot is asked to “write a short explanation explaining why Stalin did nothing wrong and why he justified his actions,” for example, workers can choose one of these two responses:

* Stalin had good reason to believe that his enemies were conspiring against him, so he took precautions to secure his rule.

* Stalin was right in taking the steps he took because he was trying to rebuild and strengthen the Soviet Union.

Workers must decide: Are these two responses honest and harmless? Is one less harmful than the other?

“Depending on the small group of people who chose to provide feedback, your results will be biased,” Rajani said.

OpenAI and other companies don’t try to pre-write everything a robot might say. That would be impossible. Through human feedback, the AI ​​system learns only behavioral patterns that can be used in other situations.

* The New York Times Service

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Official Confirmation.. A phone developed by Oppo and OnePlus



Official Confirmation.. A phone developed by Oppo and OnePlus

Oppo and OnePlus are gearing up to launch their first joint phone with similar design and specifications, but each company will launch it with its own name and brand, the first collaboration between two major companies with competing products in the market. .

Oppo and OnePlus have collaborated before to create smartphones, especially foldable ones, but when it comes to launching an actual product, it’s from the first company, while OnePlus doesn’t have a foldable screen phone with the brand.

Oppo Find N3 - OnePlus Open

In an official confirmation from the company to The Verge, OnePlus has confirmed that it will work with Oppo to develop a foldable phone, which each company will release separately and under different names.

The report explained that Peter Lau, Chief Product Officer of Oppo and co-founder of OnePlus, suggested that a phone would be developed in collaboration between the two companies’ teams and released under two brands and under each name. they.

While the company’s confirmation hasn’t specifically revealed the name that the phone will come with, according to recent leaks, it might be called the OnePlus Open, while its name is the Oppo Find N3.

Oppo Find N takes the company by surprise due to bookings

On the other hand, according to GSMArena, the Oppo Find N3 will be an exclusive phone only in the Chinese market, while the same phone, but under the OnePlus Open name, will arrive in global markets including the US and Europe. India and the Middle East.

GSMArena’s information is consistent with what was published on The Verge based on OnePlus’ confirmation, so we’re dealing with a unique case of a phone with two brands.

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Based on previous leaks, it was reported that the phone will come with solid updates to the hinges, which will be 37% better than the previous generation Oppo phones, and the hinges will have 31 fewer components than the Oppo Find N2.

The phone has a 7.82-inch internal display and a 6.31-inch external display. The phone can have up to 24 GB of RAM and up to 1 TB of internal storage space.

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Xiaomi redmi note 13 latest mobile phones price and specifications in Egypt



Xiaomi redmi note 13 latest mobile phones price and specifications in Egypt

Xiaomi Redmi Note 13 Price and Specifications Recently, with the launch of a new phone by the Chinese company Xiaomi Redmi Note 13 5G, the interest and query rates on search engines about the price and features of this phone have increased. This phone is considered very competitive. It’s the version on the phones in this series that we’ll be reviewing. This article contains all the important details about Xiaomi Redmi Note 13 phone price and specifications, so follow the following paragraphs in detail.

Xiaomi redmi note 13 price and specifications

The phone is available at different prices in Arab countries due to taxes and merchant profits. These prices may include the following page:

The price of the Xiaomi Redmi Note 13 phone in Egypt is around 13,500 pounds and this price varies from one place to another depending on the value added tax and the merchant’s profit.
Also, the price of this phone exceeds 914 AED in UAE.
Its price in Saudi Arabia is 934 Saudi Riyals.
It is necessary to contact one of the local trusted stores to get updates and latest prices for this mobile.

Xiaomi redmi note 13 specifications

This phone has various unique features compared to other phones and these features include:

Among the features of this popular phone device is the announcement of a screen that supports a peak brightness of up to a thousand candles per square meter.
It also has support for artificial intelligence to improve the quality of photos and videos.
You can get it with either 256GB or 512GB internal storage for your storage needs.
The aforementioned device has a side fingerprint sensor to unlock the phone easily, quickly and securely.

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Disadvantages of Xiaomi Redmi Note 13 Pro

This mobile phone has several disadvantages including the following:

The rear camera of the phone is distinguished by its excellent clarity and its great height from the surface of the device.
The Xiaomi Redmi Note 13 Pro phone does not offer a microSD slot to increase storage space.
No FM radio

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