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Image AI models now drive app growth, beating chatbot upgrades | TechCrunch
Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.







For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars. 







OpenAI’s 4o image-generation model led to an estimated  million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. 

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch


Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch
Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.







For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars. 







OpenAI’s 4o image-generation model led to an estimated  million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. 

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA | October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai

Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA
|
October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

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#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunch


The Mandalorian and Grogu comes out this month, and new toys for it will keep on coming for a while.

From Lego, the new tie-in hotness is the “Hutt Palace Sentry Droid Showdown” set. With 415 pieces, owners can pit Din and Grogu against the Hutt Cartel’s three-armed sentry and its stud shooter. Once the beat the sentry and open the palace doors, they’ve got one other obstacle in Embo, everyone’s favorite Clone Wars-era bounty hunter. Along with his bowcaster, Embo’s got his own backup in his anooba Keibu.

In his earliest appearances, Embo had another named Marrok, but we know from the Aftermath: Empire’s End novel that one had died before the New Republic era. Canonically, it makes sense that Embo would get a new pet, but this probably also comes from other Star Wars projects like Ahsoka and Maul: Shadow Lord—which, like this movie, count Dave Filoni as a key creative—having an Inquisitor with the same name among their casts.

Newly named space dog aside, the set takes inspirartion from a fight we’ve seen in the final trailer for The Mandalorian and Grogu wherein Din fights two sentry droids and Grogu tries to shut one of them down. Fans of the movie could recreate that fight beat for beat, or do their own version—maybe one where Din and Embo are buds, or Grogu solos everyone else. The choice is yours, but you’ll be waiting for a while to make it happen: the movie’s out on May 22, but the set’s available beginning August 1 for £44.99 (or roughly $53).

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

#Legos #Mandalorian #Grogu #Set #Confirms #Silly #ChangeLego,Star Wars,The Mandalorian and Grogu">Lego’s New ‘Mandalorian & Grogu’ Set Confirms a Very Silly Name Change
                The Mandalorian and Grogu comes out this month, and new toys for it will keep on coming for a while. From Lego, the new tie-in hotness is the “Hutt Palace Sentry Droid Showdown” set. With 415 pieces, owners can pit Din and Grogu against the Hutt Cartel’s three-armed sentry and its stud shooter. Once the beat the sentry and open the palace doors, they’ve got one other obstacle in Embo, everyone’s favorite Clone Wars-era bounty hunter. Along with his bowcaster, Embo’s got his own backup in his anooba Keibu. In his earliest appearances, Embo had another named Marrok, but we know from the Aftermath: Empire’s End novel that one had died before the New Republic era. Canonically, it makes sense that Embo would get a new pet, but this probably also comes from other Star Wars projects like Ahsoka and Maul: Shadow Lord—which, like this movie, count Dave Filoni as a key creative—having an Inquisitor with the same name among their casts.   Newly named space dog aside, the set takes inspirartion from a fight we’ve seen in the final trailer for The Mandalorian and Grogu wherein Din fights two sentry droids and Grogu tries to shut one of them down. Fans of the movie could recreate that fight beat for beat, or do their own version—maybe one where Din and Embo are buds, or Grogu solos everyone else. The choice is yours, but you’ll be waiting for a while to make it happen: the movie’s out on May 22, but the set’s available beginning August 1 for £44.99 (or roughly ).  Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.      #Legos #Mandalorian #Grogu #Set #Confirms #Silly #ChangeLego,Star Wars,The Mandalorian and Grogu

The Mandalorian and Grogu comes out this month, and new toys for it will keep on coming for a while.

From Lego, the new tie-in hotness is the “Hutt Palace Sentry Droid Showdown” set. With 415 pieces, owners can pit Din and Grogu against the Hutt Cartel’s three-armed sentry and its stud shooter. Once the beat the sentry and open the palace doors, they’ve got one other obstacle in Embo, everyone’s favorite Clone Wars-era bounty hunter. Along with his bowcaster, Embo’s got his own backup in his anooba Keibu.

In his earliest appearances, Embo had another named Marrok, but we know from the Aftermath: Empire’s End novel that one had died before the New Republic era. Canonically, it makes sense that Embo would get a new pet, but this probably also comes from other Star Wars projects like Ahsoka and Maul: Shadow Lord—which, like this movie, count Dave Filoni as a key creative—having an Inquisitor with the same name among their casts.

Newly named space dog aside, the set takes inspirartion from a fight we’ve seen in the final trailer for The Mandalorian and Grogu wherein Din fights two sentry droids and Grogu tries to shut one of them down. Fans of the movie could recreate that fight beat for beat, or do their own version—maybe one where Din and Embo are buds, or Grogu solos everyone else. The choice is yours, but you’ll be waiting for a while to make it happen: the movie’s out on May 22, but the set’s available beginning August 1 for £44.99 (or roughly $53).

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

#Legos #Mandalorian #Grogu #Set #Confirms #Silly #ChangeLego,Star Wars,The Mandalorian and Grogu">Lego’s New ‘Mandalorian & Grogu’ Set Confirms a Very Silly Name ChangeLego’s New ‘Mandalorian & Grogu’ Set Confirms a Very Silly Name Change
                The Mandalorian and Grogu comes out this month, and new toys for it will keep on coming for a while. From Lego, the new tie-in hotness is the “Hutt Palace Sentry Droid Showdown” set. With 415 pieces, owners can pit Din and Grogu against the Hutt Cartel’s three-armed sentry and its stud shooter. Once the beat the sentry and open the palace doors, they’ve got one other obstacle in Embo, everyone’s favorite Clone Wars-era bounty hunter. Along with his bowcaster, Embo’s got his own backup in his anooba Keibu. In his earliest appearances, Embo had another named Marrok, but we know from the Aftermath: Empire’s End novel that one had died before the New Republic era. Canonically, it makes sense that Embo would get a new pet, but this probably also comes from other Star Wars projects like Ahsoka and Maul: Shadow Lord—which, like this movie, count Dave Filoni as a key creative—having an Inquisitor with the same name among their casts.   Newly named space dog aside, the set takes inspirartion from a fight we’ve seen in the final trailer for The Mandalorian and Grogu wherein Din fights two sentry droids and Grogu tries to shut one of them down. Fans of the movie could recreate that fight beat for beat, or do their own version—maybe one where Din and Embo are buds, or Grogu solos everyone else. The choice is yours, but you’ll be waiting for a while to make it happen: the movie’s out on May 22, but the set’s available beginning August 1 for £44.99 (or roughly $53).  Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.      #Legos #Mandalorian #Grogu #Set #Confirms #Silly #ChangeLego,Star Wars,The Mandalorian and Grogu

The Mandalorian and Grogu comes out this month, and new toys for it will keep on coming for a while.

From Lego, the new tie-in hotness is the “Hutt Palace Sentry Droid Showdown” set. With 415 pieces, owners can pit Din and Grogu against the Hutt Cartel’s three-armed sentry and its stud shooter. Once the beat the sentry and open the palace doors, they’ve got one other obstacle in Embo, everyone’s favorite Clone Wars-era bounty hunter. Along with his bowcaster, Embo’s got his own backup in his anooba Keibu.

In his earliest appearances, Embo had another named Marrok, but we know from the Aftermath: Empire’s End novel that one had died before the New Republic era. Canonically, it makes sense that Embo would get a new pet, but this probably also comes from other Star Wars projects like Ahsoka and Maul: Shadow Lord—which, like this movie, count Dave Filoni as a key creative—having an Inquisitor with the same name among their casts.

Newly named space dog aside, the set takes inspirartion from a fight we’ve seen in the final trailer for The Mandalorian and Grogu wherein Din fights two sentry droids and Grogu tries to shut one of them down. Fans of the movie could recreate that fight beat for beat, or do their own version—maybe one where Din and Embo are buds, or Grogu solos everyone else. The choice is yours, but you’ll be waiting for a while to make it happen: the movie’s out on May 22, but the set’s available beginning August 1 for £44.99 (or roughly $53).

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

#Legos #Mandalorian #Grogu #Set #Confirms #Silly #ChangeLego,Star Wars,The Mandalorian and Grogu

The performance boost on Geekbench is particularly striking, with the A16 scoring 50 to 100 percent faster than competing systems from AMD and Intel. It’s even faster than the Apple MacBook M4 Pro, the last Mac for which I have comparable benchmark scores. However, that Mac did beat the Asus on the Cinebench benchmark, but not by much, and the Asus now stands solidly in second place in my testing archive.

Graphics performance is much better than in previous generations of Snapdragon X chips, with frame rates quadrupling on average, depending on the test. That’s a dramatic and much-needed improvement for the CPU, and while no one will accuse the A16 of being a gaming rig, it does at least make for a workable experience with less taxing games and graphics-heavy workloads.

Beige Belies Performance

Image may contain Computer Electronics Laptop Pc Computer Hardware Computer Keyboard Hardware and Floor

Photograph: Chris Null

I’m happy enough with how the Snapdragon X2 Elite Extreme performs to sign off on its performance claims, but there’s a lot more to the Zenbook A16 than its CPU.

Under the hood, the Snapdragon X2 Elite Extreme X2E94100 CPU is complemented by 48 GB of RAM and a 1-TB SSD. The 16-inch touchscreen offers a solid resolution of 2880 x 1800 pixels, and it’s incredibly bright. A weight of 2.9 pounds is impressive (if not unheard of) for the 16-inch category, and at 0.65 inches (at its thickest), it has a svelte, quite portable carrying experience. Asus’s Ceraluminum technology (now with added magnesium) is used in the machine’s lid, base, and keyboard frame. That helps keep it thin and light, though when adjusted or touched, the screen shimmied more than I expected.

#Asus #Zenbook #Delivers #Great #Performance #Mediocre #Laptopasus,laptops,shopping,reviews,review,computers,qualcomm,windows">The Asus Zenbook 16 Delivers Great Performance in an Otherwise Mediocre LaptopSo, what’s not to like? Well, early compatibility problems slowed the initial uptake of Snapdragon X, and the CPU’s integrated graphics performance turned out to be pretty terrible. And to date, powerful onboard AI features just haven’t proven important, as most AI workloads are still being done in the cloud. With the second-generation X2, Qualcomm set out to deliver on the original promise of faster performance.But what exactly does “faster” mean? As with most claims in the PC computing space, it’s all about the benchmarks. On the Zenbook A16, the tests I ran indeed showcased exemplary performance from the X2 Elite Extreme, in some of the most widely used benchmarking tools, namely Geekbench 6 and Cinebench 2024. (I don’t have enough competitive Cinebench 2026 results to make wide comparisons yet on that benchmark.)The performance boost on Geekbench is particularly striking, with the A16 scoring 50 to 100 percent faster than competing systems from AMD and Intel. It’s even faster than the Apple MacBook M4 Pro, the last Mac for which I have comparable benchmark scores. However, that Mac did beat the Asus on the Cinebench benchmark, but not by much, and the Asus now stands solidly in second place in my testing archive.Graphics performance is much better than in previous generations of Snapdragon X chips, with frame rates quadrupling on average, depending on the test. That’s a dramatic and much-needed improvement for the CPU, and while no one will accuse the A16 of being a gaming rig, it does at least make for a workable experience with less taxing games and graphics-heavy workloads.Beige Belies PerformancePhotograph: Chris NullI’m happy enough with how the Snapdragon X2 Elite Extreme performs to sign off on its performance claims, but there’s a lot more to the Zenbook A16 than its CPU.Under the hood, the Snapdragon X2 Elite Extreme X2E94100 CPU is complemented by 48 GB of RAM and a 1-TB SSD. The 16-inch touchscreen offers a solid resolution of 2880 x 1800 pixels, and it’s incredibly bright. A weight of 2.9 pounds is impressive (if not unheard of) for the 16-inch category, and at 0.65 inches (at its thickest), it has a svelte, quite portable carrying experience. Asus’s Ceraluminum technology (now with added magnesium) is used in the machine’s lid, base, and keyboard frame. That helps keep it thin and light, though when adjusted or touched, the screen shimmied more than I expected.#Asus #Zenbook #Delivers #Great #Performance #Mediocre #Laptopasus,laptops,shopping,reviews,review,computers,qualcomm,windows

Ceraluminum technology (now with added magnesium) is used in the machine’s lid, base, and keyboard frame. That helps keep it thin and light, though when adjusted or touched, the screen shimmied more than I expected.

#Asus #Zenbook #Delivers #Great #Performance #Mediocre #Laptopasus,laptops,shopping,reviews,review,computers,qualcomm,windows">The Asus Zenbook 16 Delivers Great Performance in an Otherwise Mediocre Laptop

So, what’s not to like? Well, early compatibility problems slowed the initial uptake of Snapdragon X, and the CPU’s integrated graphics performance turned out to be pretty terrible. And to date, powerful onboard AI features just haven’t proven important, as most AI workloads are still being done in the cloud. With the second-generation X2, Qualcomm set out to deliver on the original promise of faster performance.

But what exactly does “faster” mean? As with most claims in the PC computing space, it’s all about the benchmarks. On the Zenbook A16, the tests I ran indeed showcased exemplary performance from the X2 Elite Extreme, in some of the most widely used benchmarking tools, namely Geekbench 6 and Cinebench 2024. (I don’t have enough competitive Cinebench 2026 results to make wide comparisons yet on that benchmark.)

The performance boost on Geekbench is particularly striking, with the A16 scoring 50 to 100 percent faster than competing systems from AMD and Intel. It’s even faster than the Apple MacBook M4 Pro, the last Mac for which I have comparable benchmark scores. However, that Mac did beat the Asus on the Cinebench benchmark, but not by much, and the Asus now stands solidly in second place in my testing archive.

Graphics performance is much better than in previous generations of Snapdragon X chips, with frame rates quadrupling on average, depending on the test. That’s a dramatic and much-needed improvement for the CPU, and while no one will accuse the A16 of being a gaming rig, it does at least make for a workable experience with less taxing games and graphics-heavy workloads.

Beige Belies Performance

Image may contain Computer Electronics Laptop Pc Computer Hardware Computer Keyboard Hardware and Floor

Photograph: Chris Null

I’m happy enough with how the Snapdragon X2 Elite Extreme performs to sign off on its performance claims, but there’s a lot more to the Zenbook A16 than its CPU.

Under the hood, the Snapdragon X2 Elite Extreme X2E94100 CPU is complemented by 48 GB of RAM and a 1-TB SSD. The 16-inch touchscreen offers a solid resolution of 2880 x 1800 pixels, and it’s incredibly bright. A weight of 2.9 pounds is impressive (if not unheard of) for the 16-inch category, and at 0.65 inches (at its thickest), it has a svelte, quite portable carrying experience. Asus’s Ceraluminum technology (now with added magnesium) is used in the machine’s lid, base, and keyboard frame. That helps keep it thin and light, though when adjusted or touched, the screen shimmied more than I expected.

#Asus #Zenbook #Delivers #Great #Performance #Mediocre #Laptopasus,laptops,shopping,reviews,review,computers,qualcomm,windows

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