Pixel 11 Pro XL Geekbench Scores: How Fast Is Tensor G6?

Google’s Tensor chips have never been the fastest smartphone processors on the market, and its latest (the Google Tensor G6) is no exception.

The company has always prioritised camera processing, AI functions and the wider Pixel experience over winning synthetic benchmark tests. That approach made sense, but it also gave Tensor a fairly substantial performance gap compared with Apple’s A-series chips and Qualcomm’s Snapdragon flagships.

Tensor G6 does not completely close that gap. It does, however, produce one of the largest CPU improvements we have seen between two Pixel generations.

Verified Pixel 11 Pro XL Geekbench results show single-core scores approaching 2,800 and multi-core results exceeding 7,500. That puts Tensor G6 around 20% to 25% ahead of Tensor G5 in the Pixel 10 Pro XL.

It is still behind the Snapdragon-powered Galaxy S26 Ultra and Apple’s iPhone 17 Pro Max, particularly under heavy multi-core loads.

But the gap is now much smaller, and most Pixel 11 Pro XL owners will never push the phone hard enough for it to matter.

Here is what the numbers actually mean.

Verified Pixel 11 Pro XL Geekbench Scores

Several Pixel 11 Pro XL results are now available in the Geekbench Browser.

The two stronger results are close enough to establish a reasonable early performance range:

• Around 2,650 to 2,750 single-core
• Around 7,300 to 7,560 multi-core

The lower 5,762 multi-core result is probably affected by background activity, temperature, power settings or early software. It demonstrates why you should never base an article on one isolated benchmark run.

For comparison, recent Pixel 10 Pro XL results generally sit around:

• 2,250 to 2,400 single-core
• 5,800 to 6,400 multi-core

Using representative scores of 2,755/7,563 for the Pixel 11 Pro XL and 2,301/6,030 for the Pixel 10 Pro XL, Tensor G6 is approximately:

• 20% faster in single-core performance
• 25% faster in multi-core performance

Exact percentages change depending on which runs you compare, but the pattern is consistent. Tensor G6 is materially faster than Tensor G5.

Pixel 11 Pro XL Versus Pixel 10 Pro XL Geekbench

That is a much better generational improvement than the small gains we sometimes see between annual phone releases.

It is also more impressive because Tensor G6 has seven CPU cores rather than the eight used by Tensor G5.

Tensor G6 uses:

• One high-performance core running at 4.11GHz
• Four performance cores running at 3.38GHz
• Two efficiency-oriented cores running at 2.65GHz

Tensor G5 used:

• One main core running at up to 3.78GHz
• Five middle cores running at up to 3.05GHz
• Two smaller cores running at 2.25GHz

Google has removed one middle core but moved to much newer Arm CPU architecture and increased clock speeds across the chip.

The end result is better performance from fewer cores.

For a fuller explanation of the processor, including its AI hardware and modem changes, read our Google Tensor G6 guide.

What Does Single-Core Performance Mean?

Single-core performance measures how quickly the processor can complete a job that depends mainly on one CPU core.

That affects plenty of normal phone behaviour, including:

• Opening applications
• Loading webpages
• Moving through parts of the interface
• Running older applications that do not use several cores efficiently
• Processing JavaScript
• Opening documents
• Responding to short bursts of activity
• Starting camera functions

A 20% single-core improvement does not mean every application opens exactly 20% faster. Storage speed, software, memory and network performance also affect the result.

It does mean Tensor G6 has more processing power available for short, everyday jobs.

Google claims the Pixel 11 series provides:

• 25% faster web browsing
• 15% faster application loading

Those claims line up reasonably well with the Geekbench improvement.

What Does Multi-Core Performance Mean?

Multi-core performance measures how quickly the processor completes work spread across several CPU cores.

It becomes more relevant when you are:

• Exporting video
• Editing large photographs
• Unpacking large files
• Processing batches of images
• Installing or updating several applications
• Running more complicated AI tasks
• Working with large documents
• Multitasking
• Playing games with CPU-heavy simulations
• Rendering content

Tensor G6’s multi-core improvement is arguably more useful than the single-core gain.

A result above 7,500 moves the Pixel 11 Pro XL out of the “fast enough but clearly behind” territory occupied by earlier Tensor phones. It is still not the fastest, but it has enough CPU performance for almost any normal smartphone job.

What Will You Actually Notice?

This is the important bit.

Nobody buys a phone so they can stare lovingly at a Geekbench score. The number matters only when it changes what the phone can do or how quickly it does it.

Applications Should Open A Little Faster

Google claims application loading is 15% faster.

You are unlikely to gasp when Gmail opens. We are talking about fractions of a second in many cases.

The difference should be more apparent with:

• Large games
• Video-editing applications
• Google Photos
• Camera modes
• Large document editors
• Applications loading substantial local databases

The Pixel 10 Pro XL was already quick enough for normal applications. Tensor G6 reduces the small pauses that become apparent when you compare phones side by side.

Heavy Webpages Should Feel More Responsive

The Pixel 11 Pro XL’s Geekbench HTML5 browser result reaches 3,064, compared with approximately 2,600 on typical Pixel 10 Pro XL runs.

Google separately claims web browsing is 25% faster.

This should be most apparent on websites containing:

• Heavy JavaScript
• Interactive comparison tools
• Large product galleries
• Embedded maps
• Complex forms
• Web applications
• Lots of dynamically loaded content

Your internet connection still controls how quickly data arrives. Tensor G6 controls how quickly the phone processes and displays it once it gets there.

A lightweight article will not suddenly feel transformed. A badly optimised shopping site or complicated browser application is more likely to show the difference.

Photo Processing Should Finish Faster

Pixel cameras perform a lot of work after you press the shutter button.

The phone may need to:

• Combine several exposures
• Reduce noise
• detect faces
• correct movement
• rebuild zoom detail
• apply HDR
• process skin tones
• choose frames
• sharpen selected areas

Tensor G6 includes a new image signal processor alongside the stronger CPU.

That combination allows the Pixel 11 Pro XL to provide features such as:

• 120x Pro Zoom
• Faster Night Sight
• Magic Capture
• Camera Looks
• Pro Stable Video
• 8K Video Boost

The Geekbench CPU score does not measure these features directly. It does tell us that the processor feeding the wider imaging system has considerably more headroom.

The practical result should be less waiting after capturing complicated photographs and quicker movement between camera modes.

Night Sight Is A Better Example Than App Loading

Google says Night Sight on the Pixel 11 Pro models can capture images up to 4.5 times faster, with around three times faster being more typical.

That difference is far more noticeable than Gmail opening slightly sooner.

Older Pixel phones could make you hold the device still for several seconds. That created blurred subjects and made photographing children, pets or people in dark environments difficult.

The Pixel 11 Pro XL can complete more of that work in a shorter window.

That is not solely because of Geekbench performance, but Tensor G6’s faster CPU, new imaging processor and AI hardware all contribute.

Video Editing And Exporting Should Improve

If you record footage with Creator Suite and then edit it on the phone, the extra multi-core performance should help with:

• Generating previews
• Applying edits
• Moving through a timeline
• Encoding finished video
• Exporting several clips
• Handling high-resolution footage

Do not expect the Pixel 11 Pro XL to beat an iPhone 17 Pro Max in serious mobile video work. Apple still has more raw CPU performance and a mature hardware-software video pipeline.

Tensor G6 should nevertheless make the Pixel less frustrating for occasional editing.

Multitasking Should Be More Consistent

The Pixel 11 Pro XL comes with either 12GB or 16GB of RAM:

• 256GB model: 12GB
• 512GB model: 16GB
• 1TB model: 16GB

The stronger processor helps applications perform work faster, while RAM determines how many can remain available without reloading.

If you regularly move between the camera, Lightroom, Google Photos, Chrome and a video editor, the 16GB version is the better option.

The CPU improvement will not compensate completely for less memory. For heavy creative use, I would skip the 256GB/12GB configuration and choose the 512GB model.

For normal use, 12GB is plenty.

What Probably Will Not Feel Much Different?

Not every 20% benchmark increase produces a visible 20% improvement.

You probably will not notice much difference when:

• Sending WhatsApp messages
• Reading email
• Streaming Spotify
• Watching YouTube
• Scrolling through Instagram
• Making calls
• Checking the weather
• Using Google Maps normally
• Taking a basic daylight photograph
• Moving through Android’s home screen

These jobs were not pushing Tensor G5 particularly hard.

The Pixel 10 Pro XL already had enough performance for them. Tensor G6 may make some transitions slightly quicker, but it will not change the basic experience.

This is why upgrading from a Pixel 10 Pro XL purely for speed makes little sense.

Pixel 11 Pro XL Versus Snapdragon 8 Elite Gen 5

The Samsung Galaxy S26 Ultra uses Qualcomm’s Snapdragon 8 Elite Gen 5 platform.

Verified Geekbench 6 results show:

Qualcomm retains a clear lead.

The Snapdragon-powered Galaxy S26 Ultra is approximately:

• 32% faster in single-core performance
• 46% faster in multi-core performance

Those percentages describe how much higher the Snapdragon result is relative to Tensor G6. Looking at the shortfall from the Snapdragon score, Tensor G6 sits roughly 24% behind in single-core and 32% behind in multi-core.

Both descriptions are mathematically correct, but the latter is usually easier when asking how close Tensor G6 gets to its rival.

Where Will Snapdragon’s Lead Matter?

You are more likely to notice it when:

• Playing demanding games at high frame rates
• Emulating consoles
• Exporting long videos
• Rendering complicated projects
• Running CPU-intensive creative applications
• Processing large batches of files
• Using desktop-style multitasking
• Performing heavy work for several minutes at a time

Snapdragon also has a much stronger Adreno GPU.

A verified Galaxy S26 Ultra Geekbench OpenCL result exceeds 20,000. Verified Pixel 10 Pro XL GPU results sit below 5,000, and there are not yet enough trustworthy Pixel 11 Pro XL GPU listings to give Tensor G6 a fair final score.

Geekbench OpenCL scores from different graphics architectures are not a perfect representation of gaming. Even with that caveat, Qualcomm has an enormous graphics advantage.

If gaming is your main priority, buy a Snapdragon flagship.

Where Will The Difference Not Matter?

For:

• Photography
• Messaging
• Browsing
• Navigation
• Streaming
• Social media
• Calls
• Normal multitasking
• Everyday productivity

Both phones are fast enough.

The Galaxy S26 Ultra may finish a benchmark much sooner, but it will not make a WhatsApp message send 30% faster or make Netflix look 30% better.

Pixel 11 Pro XL Versus Apple A19 Pro

The iPhone 17 Pro Max uses Apple’s A19 Pro.

Verified Geekbench results put it around:

• 3,850 to 4,000 single-core
• 10,000 to 11,000 multi-core

Using a Geekbench 6.7 result of 3,849 and 10,014:

Apple remains well ahead in single-core performance.

That helps with:

• Application responsiveness
• Web processing
• Games
• Video editing
• Music-production applications
• Large creative projects
• Long-term performance headroom

The A19 Pro reaches these results with six CPU cores, while Tensor G6 uses seven. Core count on its own tells you very little about actual speed.

Does This Make The iPhone 17 Pro Max Feel 28% Faster?

No.

Operating systems, application design, animation timing and background behaviour differ between iOS and Android.

Geekbench is useful because it runs similar workloads on both platforms, but it cannot turn two different operating systems into a perfect like-for-like comparison.

The iPhone will have a clearer advantage during intensive creative work. In normal use, both feel fast.

If you open Messages, take a photograph and watch YouTube, the Geekbench gap will mostly remain invisible.

If you export a large video project or play a demanding game, Apple’s lead becomes far more relevant.

Tensor G6 Is Now Closer To Flagship Rivals

Tensor G6 does not beat the best Snapdragon or Apple chips, but it has moved Google in the right direction.

Tensor G5 was beginning to look more like an upper-mid-range processor than a true rival to contemporary flagship silicon.

Tensor G6 narrows that gap. Its multi-core result is now high enough that you are unlikely to encounter a normal Android application it cannot run comfortably.

The remaining weakness is high-end performance, especially graphics.

Geekbench Does Not Measure Tensor G6’s Main AI Hardware

Geekbench’s CPU test does not measure the full Tensor Processing Unit used for Google’s on-device AI functions.

Google says Tensor G6 provides 50% more AI compute than Tensor G5.

That hardware powers or supports functions including:

• Gemini Intelligence
• Magic Capture
• Personal Intelligence
• Sign-to-text recognition
• Create My Widget
• Camera processing
• Voice transcription
• Live translation
• On-device Gemini Nano

A Snapdragon or Apple chip can score higher in Geekbench without automatically processing every Pixel-specific AI feature better.

Google controls the Pixel hardware, Android software and its Gemini services. It can optimise functions for its own TPU rather than asking the general CPU to do everything.

That is why Geekbench tells only part of the Tensor G6 story.

For more on the software side, see our Pixel 11 AI features coverage.

Geekbench Does Not Measure Efficiency Properly Either

A benchmark score tells you how quickly a processor completes a test. It does not tell you the full amount of power consumed, how hot the phone becomes or how long it can maintain that result.

Google says Tensor G6 is up to 20% more power-efficient than Tensor G5.

If accurate, that could be more useful than another few hundred benchmark points.

Better efficiency can mean:

• Less heat while using the camera
• Lower battery drain on mobile data
• More consistent performance
• Longer gaming sessions before throttling
• Better standby time
• Less aggressive dimming
• Faster processing without the phone becoming uncomfortable

A chip that scores 7,500 once and then drops sharply when hot may be less useful than one that maintains 7,000 consistently.

We need sustained workload, temperature and battery testing before reaching a final conclusion.

The Modem May Matter More Than Geekbench

Tensor G6 also uses a MediaTek M90 modem, replacing the Samsung-derived modem technology used by earlier Tensor generations.

Geekbench does not test this.

For many Pixel owners, modem behaviour matters more than CPU speed because it affects:

• Mobile reception
• Call reliability
• 5G battery drain
• Heat while using mobile data
• Performance in weak-signal areas
• Data speeds
• Roaming behaviour

If the MediaTek modem gives the Pixel 11 Pro XL stronger reception and lower battery drain, that will affect daily use more than the difference between a 7,300 and 7,500 multi-core result.

It is one of the main areas to watch in long-term Pixel 11 testing.

Is The Pixel 11 Pro XL Fast Enough For Gaming?

Yes, but that is not the same as saying it is the best gaming phone.

Tensor G6 has more than enough CPU performance for:

• Call of Duty: Mobile
• PUBG Mobile
• Minecraft
• Roblox
• Fortnite
• Casual games
• Most Play Store titles

The unanswered question is how well its PowerVR GPU handles the most demanding games at maximum detail, high resolution and elevated frame rates.

Qualcomm’s latest Adreno graphics remain considerably stronger. Snapdragon phones also tend to receive better game-specific optimisation because the platform is used across many Android flagships.

Choose the Pixel if you game occasionally and care more about its camera and software.

Choose a Snapdragon flagship if you:

• Play demanding games daily
• Want maximum graphics settings
• Use emulators
• Care about sustained frame rates
• Connect the phone to an external display
• Want better long-term gaming headroom

Is The Pixel 11 Pro XL Fast Enough For Video Editing?

For occasional and moderate editing, yes.

It should comfortably handle:

• Trimming 4K clips
• Combining shorter videos
• Applying basic colour changes
• Adding titles
• Preparing social-media videos
• Creator Suite workflows
• Exporting shorter projects

The iPhone 17 Pro Max remains the better phone for demanding mobile production, especially if you regularly work with long timelines, large files and professional editing applications.

The Pixel’s Pro Stable Video and 8K Video Boost also use cloud processing for some jobs. That reduces the need for the phone to perform everything locally, but it means you may have to wait for an upload and completed cloud render.

Should Pixel 10 Pro XL Owners Upgrade For Performance?

No.

Tensor G6 is around 20% to 25% faster, but the Pixel 10 Pro XL is not slow.

Most Pixel 10 Pro XL owners will see:

• Slightly faster application loading
• Faster web processing
• Quicker camera functions
• Better heavy multitasking
• Faster photo processing
• Better efficiency

They will not see a completely different phone.

Upgrade if you also want the Pixel 11 Pro XL’s:

• Improved cameras
• 120x Pro Zoom
• Faster Night Sight
• HiLight
• Qi2.2 charging
• New AI functions
• Modem changes

The processor improvement supports those features. It is not enough on its own to justify replacing a one-year-old flagship.

What If You Have A Pixel 8 Or Pixel 9?

The jump becomes easier to notice from an older Tensor phone.

Compared with those models, the Pixel 11 Pro XL should provide:

• Faster application launches
• Smoother heavy browsing
• Better gaming
• Faster photo processing
• Better video handling
• Stronger multitasking
• More AI processing capacity
• Better efficiency
• More performance headroom for future Android versions

Even then, benchmark performance should not be your only reason to upgrade.

A refurbished Pixel 9 Pro or Pixel 9 Pro XL can provide most of the familiar Pixel experience for far less money. The older models still have excellent cameras, 120Hz LTPO displays, long update support and enough speed for normal use.

The Pixel 11 Pro XL makes more sense if you specifically want its new camera, modem and AI features, not merely a higher Geekbench number.

Should You Buy The Pixel 11 Pro XL Based On Geekbench?

The Pixel 11 Pro XL is fast enough for almost everybody.

It does not win the processor contest. The Galaxy S26 Ultra and iPhone 17 Pro Max are substantially quicker in Geekbench, while Snapdragon remains much stronger for graphics and gaming.

But Tensor G6 fixes the more immediate problem: previous Tensor chips were falling too far behind.

The new chip gives the Pixel 11 Pro XL:

• A noticeable generational CPU improvement
• Faster browsing
• Quicker application loading
• More room for camera processing
• Better support for AI functions
• Stronger heavy-task performance
• Better claimed efficiency

If you mostly take photographs, browse, stream, use maps and communicate, you will not notice that Snapdragon and Apple score higher.

If you edit long videos, emulate consoles, play demanding games or want the fastest phone available, you will.

The Bottom Line

The Pixel 11 Pro XL scores around 2,700 in Geekbench single-core and 7,500 in multi-core testing.

That makes Tensor G6 approximately 20% faster in single-core work and around 25% faster in multi-core work than Tensor G5.

It remains roughly 24% to 28% behind the latest Apple and Snapdragon chips in single-core performance, with a larger gap against Snapdragon under multi-core loads.

On paper, it loses.

In normal use, that matters far less than the table suggests.

The useful changes are faster camera processing, quicker Night Sight, more responsive heavy webpages, shorter loading times and better performance during editing and multitasking. These are improvements you may actually notice.

The fact that an iPhone finishes a synthetic workload sooner will not matter while you are taking a Pixel photograph, using Gemini or navigating with Google Maps.

Tensor G6 does not make the Pixel 11 Pro XL the fastest phone available. It makes it fast enough that performance is no longer an obvious reason to avoid buying one.