{"id":51486,"date":"2021-10-20T12:39:25","date_gmt":"2021-10-20T09:39:25","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=51486"},"modified":"2025-09-02T23:58:01","modified_gmt":"2025-09-02T20:58:01","slug":"google-unveils-pixel-6-and-pixel-6-pro-with-tensor-processor-for-machine-learning","status":"publish","type":"post","link":"https:\/\/u1f987.com\/en\/google-unveils-pixel-6-and-pixel-6-pro-with-tensor-processor-for-machine-learning\/","title":{"rendered":"Google unveils Pixel 6 and Pixel 6 Pro with Tensor processor for machine learning"},"content":{"rendered":"<p>Google officially unveiled the Pixel 6 and Pixel 6 Pro smartphones, equipped with the company\u2019s Tensor mobile processor.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">The wait is over: Pixel 6 and Pixel 6 Pro, the completely redesigned Google phones, are here. \ud83e\udd73 Powered by Google Tensor, our first-ever processor, both phones are fast, smart, secure and designed to adapt to you. Learn more \u2192 <a href=\"https:\/\/t.co\/FlQil6yXkT\">https:\/\/t.co\/FlQil6yXkT<\/a> <a href=\"https:\/\/twitter.com\/hashtag\/Pixel6Launch?src=hash&#038;ref_src=twsrc%5Etfw\">#Pixel6Launch<\/a><\/p>\n<p>\u2014 Google (@Google) <a href=\"https:\/\/twitter.com\/Google\/status\/1450508040843706376?ref_src=twsrc%5Etfw\">October 19, 2021<\/a><\/p><\/blockquote>\n<p> <script async=\"\" src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Tensor is built on a 5\u2011nm process. The processor features a three-cluster design consisting of two high\u2011performance Cortex-X1 cores, two mid\u2011range Cortex-A76 cores, and four power\u2011efficient Cortex-A55 cores.<\/p>\n<p>A dedicated Tensor processing unit handles machine-learning tasks, while the graphics are handled by a 20\u2011core Mali\u2011G78 GPU.<\/p>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/u1f987.com\/wp-content\/uploads\/google-tensor-1024x576.jpg\" alt=\"Google unveils smartphones with Tensor processor for machine learning\" class=\"wp-image-153467\" srcset=\"https:\/\/u1f987.com\/wp-content\/uploads\/google-tensor-1024x576.jpg 1024w, https:\/\/u1f987.com\/wp-content\/uploads\/google-tensor-300x169.jpg 300w, https:\/\/u1f987.com\/wp-content\/uploads\/google-tensor-768x432.jpg 768w, https:\/\/u1f987.com\/wp-content\/uploads\/google-tensor.jpg 1429w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Tensor system-on-a-chip. Data: Google.<\/figcaption><\/figure>\n<p>The company demonstrated a range of new features that run on the Pixel 6 and Pixel 6 Pro thanks to artificial intelligence. The Tensor processor, in real time, enhances photo and video quality by recognizing objects and scenes and adjusting the camera to the shooting conditions.<\/p>\n<p>The Magic Eraser feature, powered by machine learning, lets users remove unwanted objects from photos. The company emphasised that image processing occurs on-device, without an internet connection.<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" decoding=\"\" src=\"https:\/\/u1f987.com\/wp-content\/uploads\/Magic-Eraser.gif\" alt=\"Magic Eraser in action\" class=\"wp-image-153468\"\/><figcaption>Magic Eraser in action. Data: Google.<\/figcaption><\/figure>\n<p>The processor also enables faster offline speech recognition. Google described this feature as \u201cthe most accurate on its smartphones.\u201d<\/p>\n<p>Pixel 6 features a 6.4-inch AMOLED display with Full HD+ resolution, 8 GB of RAM and 128\/256 GB of storage, a 50 MP wide-angle camera and a 12 MP ultra-wide camera, as well as an 8 MP front sensor. The battery capacity is 4614 mAh.<\/p>\n<p>The Pro model features a curved 6.7-inch display with QHD+ resolution, 12 GB of RAM, up to 512 GB of built-in storage, an additional 48 MP telephoto camera, an 11.1 MP front sensor and a 5003 mAh battery.<\/p>\n<p>Both smartphones run Android 12, have an in-display fingerprint sensor, support fast charging, 5G networks and Wi\u2011Fi 6E.<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"856\" height=\"386\" src=\"https:\/\/u1f987.com\/wp-content\/uploads\/Probably_the_best_one_for_the_blog.max-900x900-1.jpg\" alt=\"Pixel 6 and Pixel 6 Pro\" class=\"wp-image-153469\" srcset=\"https:\/\/u1f987.com\/wp-content\/uploads\/Probably_the_best_one_for_the_blog.max-900x900-1.jpg 856w, https:\/\/u1f987.com\/wp-content\/uploads\/Probably_the_best_one_for_the_blog.max-900x900-1-300x135.jpg 300w, https:\/\/u1f987.com\/wp-content\/uploads\/Probably_the_best_one_for_the_blog.max-900x900-1-768x346.jpg 768w\" sizes=\"auto, (max-width: 856px) 100vw, 856px\" \/><figcaption>Pixel 6 and Pixel 6 Pro. Data: Google.<\/figcaption><\/figure>\n<p>The devices cost from $599 and $899 respectively. Sales begin on October 28, 2021.<\/p>\n<p>In August, Google<a href=\"https:\/\/u1f987.com\/en\/news\/google-develops-mobile-processor-with-tensor-cores-for-machine-learning\"> showed its own Tensor<\/a> system-on-a-chip with tensor cores.<\/p>\n<p>In May, at the developers&#8217; conference I\/O, the company introduced the Tensor Processor TPUv4 for cloud computing.<\/p>\n<p>In June, researchers from Google Research reported that they used<a href=\"https:\/\/u1f987.com\/en\/news\/google-cuts-chip-design-time-from-months-to-six-hours-with-ai\"> reinforcement learning to accelerate chip design<\/a> from months to six hours.<\/p>\n<p>Subscribe to ForkLog news on Telegram: <a href=\"https:\/\/t.me\/forklogAI\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"> ForkLog AI<\/a> \u2014 all the news from the world of AI!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google officially unveiled the Pixel 6 and Pixel 6 Pro smartphones, equipped with the company\u2019s Tensor mobile processor.<\/p>\n","protected":false},"author":1,"featured_media":51487,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,738,1160],"class_list":["post-51486","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-google","tag-web3-smartphones"],"aioseo_notices":[],"amp_enabled":true,"views":"22","promo_type":"1","layout_type":"1","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/51486","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/comments?post=51486"}],"version-history":[{"count":1,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/51486\/revisions"}],"predecessor-version":[{"id":51488,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/51486\/revisions\/51488"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media\/51487"}],"wp:attachment":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media?parent=51486"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/categories?post=51486"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/tags?post=51486"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}