Google’s in-house Tensor chips have steadily improved over the years to become a reliable daily driver with solid battery efficiency. Still, performance has often been a sticking point. While previous Tensor chips have handled everyday tasks well, they fell short when it came to gaming and other demanding workloads. The latest Tensor G5 could change that as it promises significant performance upgrades.

The tech giant says “Tensor G5 is our biggest upgrade yet and delivers a major performance boost.” The latest Tensor chip, debuted last month with the Pixel 10 series, is claimed to have 60% more powerful TPU and 30% faster average CPU. This is also Google’s first mobile chipset manufactured at TSMC’s factory (previous Tensor chips were made by Samsung). The Tensor G5 utilizes a more advanced 3nm process node, which promises improved performance and enhanced battery efficiency.

Google promises significant upgrades for Tensor G5, but will that bring a substantial boost to benchmark numbers where previous Tensor chips have not performed well? We’ll look at the benchmark figures. Before that, here’s the spec sheet to see the differences on paper:

Google Tensor G5 vs Tensor G4: AnTuTu score

AnTuTu (version 10) benchmark shows a modest overall gain for the new Tensor G5 chip with a score of 1,429,557 compared to Tensor G4’s 1,348,226 — that’s a 6% gain. The CPU, however, shows a nice 20% increase (483,989 vs 401,746). The memory and UX scores also favor the newer chip with an increase of around 10%.

The most surprising of all is the GPU score, which is actually lower than last year’s G4 — the difference is about 10%. This suggests Google may have focused more on efficiency rather than pushing raw graphics performance.

Google Tensor G5 vs Tensor G4: Geekbench score

On Geekbench 6, the Tensor G5 shows clear improvements over the Tensor G4. In the single-core test, it scores 2,316, about 20% higher than the G4’s 1,923, meaning faster responsiveness in everyday tasks like app launches and UI navigation.

The multi-core score jumps to 6,452, a massive 40% gain over the G4’s 4,602, highlighting stronger performance in multitasking, productivity apps, and heavier workloads.

Overall, Geekbench results suggest promising improvements for Tensor G5 in raw CPU performance, especially in multi-core efficiency, which should translate into much smoother performance.

Google Tensor G5 vs Tensor G4: 3DMark score

The Tensor G5 shows a clear improvement over the Tensor G4 in the 3DMark Wild Life Extreme Stress Test, which measures sustained GPU performance under heavy load. The G5 achieves a best loop score of 3,319, compared to the G4’s 2,603, marking an impressive 27% uplift in peak graphics performance.

More importantly, the G5 also delivers better consistency. Its lowest loop score is 2,954, while the G4 drops to 2,071. That’s not only higher performance, but also much greater stability — 89% vs 79.6%. This means the Tensor G5 is far less prone to thermal throttling and should provide smoother, more reliable gaming performance over longer sessions.

Tensor G5 vs Tensor G4: Verdict

The Tensor G5 shows promising upgrades to CPU performance, thanks to more advanced TSMC manufacturing and improved CPU cores. The 3DMark test shows that GPU performance and consistency have also improved noticeably. This should result in snappier everyday performance and a better gaming experience. The new chip also addresses most of the heating and throttling issues reported by users with previous Tensor chips.

While the newer Tensor chip brings notable upgrades, Google still has a lot to catch up to compete with the best from Qualcomm and MediaTek. We’ve compared the Tensor G5 with Snapdragon 8 Elite and Snapdragon 8 Gen 3. You can explore those comparisons to find out how Google’s latest chip stacks up against the industry best.

The post Tensor G5 vs Tensor G4: Benchmarks and specs appeared first on Gizmochina.

Tensor G4 is the most powerful chip from Google, powering the Pixel 9 series. It brings significant improvements over last year’s Tensor G3 but failed to edge past the Snapdragon 8 Gen 3 in our tests (read the comparison here). But is it powerful enough to beat the Snapdragon 8 Gen 2? Let’s compare them to see how they stack up against each other.

According to Google, the new Tensor chip offers 20% faster web browsing, 17% faster app launching, and up to 20% improved power efficiency compared to its predecessor. But are these improvements enough to beat the 2022’s flagship chip, Snapdragon 8 Gen 2?

Let’s begin with the spec sheet:

Tensor G4 vs Snapdragon 8 Gen 2: Benchmarks

Geekbench 6 results:

Geekbench evaluates a device’s performance through a series of tests designed around practical scenarios. The tests include image processing, compression (text & image), speech recognition, and PDF rendering, to name a few.

Here’s how the two chips have performed:

The benchmarking platform outputs single-core and multi-core scores. The single-core score reflects the device’s performance when a single core is used, and the multi-core score is the performance when multiple cores are at work.

While the two chips have similar single-core performance, the Snapdragon 8 Gen 2 leads the multi-core result.

AnTuTu 10 results:

AnTuTu is a popular benchmarking platform that runs a device through a series of tests that measure different aspects of its performance, such as CPU, GPU, memory, and UX. The combined score represents the overall performance of a device.

Here’s how the two chips have performed:

AnTuTu results suggest the Snapdragon 8 Gen 2 has better CPU, GPU, memory speed, and user experience than the Tensor G4.

So, as far as the benchmarking scores are concerned, the two-year-old Snapdragon 8 Gen 2. It is surprising that Google’s fastest smartphone chip can’t beat the two-year-old Snapdragon 8 Gen 2 on benchmarks.

Google doesn’t care about benchmarks

While Tensor G4 has improved from last year’s Tensor G3, the improvements aren’t as huge as we were expecting, but Google is okay with it. Tensor chips have never been about blazing-fast performance, but they’re more about unique features and machine learning capabilities.

“When we are designing the chip, we’re not designing it for speeds and feats. We’re not designing it to beat some specific benchmark that’s out there. We’re designing it to meet our use cases,” said Soniya Jobanputra, a key member of Google’s Pixel product management team.

The focus with Tensor G4 was not to beat benchmarks but to improve the speed and efficiency of opening apps. “We knew that we had a pain point with opening apps. And so as we built G4, we really focused on, okay, what do we need to do to make sure that experience is better for users,” Jobanputra added.

So, the Tensor G4 seems to be nothing but a Tensor G3 with fixed issues and some improvements.

Tensor G4 vs Snapdragon 8 Gen 2: Key Differences

Both chips feature 8 cores and have been manufactured using a 4nm process node, although many critical differences set them apart.

While Google chose Samsung to manufacture its Tensor G4, Qualcomm went with TSMC for the Snapdragon 8 Gen 2. The latter has a more advanced chip manufacturing process and cutting-edge technologies, resulting in higher efficiency.

When it comes to CPU cores, the Tensor G4 has a Cortex-X4 prime core, which is more powerful and efficient than the Cortex-X3 in the Snapdragon 8 Gen 2. However, the Tensor chip runs at a lower clock speed, which limits peak performance. The same is true for the remaining cores.

Google has equipped the Tensor G4 with a  Mali-G715 MC7 GPU, whereas the Snapdragon 8 Gen 2 chip has an Adreno 740 GPU. The latter comes with a full suite of Snapdragon Elite Gaming features and supports hardware-accelerated ray tracing.

Both Tensor G4 and Snapdragon 8 Gen 2 support LPDDR5X. However, the former chip supports a higher frequency of 4,800MHz (vs. 4,200MHz on the Snapdragon 8 Gen 2).

The chips also bring a significant gap in the maximum download speeds. The Tensor G4 has the Exynos 5400 5G modem that allows a peak download speed of 14.79Gbps, while the Snapdragon X70 5G modem inside the Snapdragon 8 Gen 2 has a peak download speed of 10Gbps. The Tensor G4 also has the advantage of satellite connectivity.

Tensor G4 vs Snapdragon 8 Gen 2: Verdict

Tensor G4 is an upgraded version of last year’s Tensor G3, but the improvements aren’t enough to beat the two-year-old Snapdragon 8 Gen 2, at least on the benchmarks.

We tested the Tensor G4 against Snapdragon 8 Gen 2 on popular benchmarks, Geekbench and AnTuTu, and the results went in favor of the Snapdragon chip.

On benchmarks, the Snapdragon 8 Gen 2 has performed better than Tensor G4. But as you may already know, these scores don’t reflect real-life performance, as other factors, such as software optimization and cooling technology, also contribute to the overall performance.

Popular Phones With Tensor G4 and Snapdragon 8 Gen 2 Chips

Tensor G4 phones:

• Google Pixel 9
• Google Pixel 9 Pro
• Google Pixel 9 Pro XL

Snapdragon 8 Gen 2 phones:

• Samsung Galaxy S23 Ultra
• iQOO Neo 9 Pro (review)
• OnePlus 12R
• OnePlus Open
• Xiaomi 13 Pro (review)
• Samsung Galaxy Z Fold 5
• Samsung Galaxy Z Flip 5

Popular Chip Battles:
1. Tensor G4 vs Tensor G3
2. Snapdragon 8 Gen 3 vs 8 Gen 2
3. Snapdragon 8 Gen 3 vs Dimensity 9300

The post Tensor G4 vs Snapdragon 8 Gen 2: Benchmarks and Key Differences appeared first on Gizmochina.

Google’s Tensor G4 chip in the Pixel 9 series doesn’t deliver the top-of-the-line performance you would expect from a 2024 flagship. We’ve already seen this on the early benchmarks. 

Now a new benchmark comparison reveals that the Tensor G4 struggles against both current and older flagship SoCs. It couldn’t even outperform the Snapdragon 8 Gen 1, a chipset from 2021.

Independent reviewer Golden Reviewer compared the Tensor G4 to leading flagship chipsets in the demanding 3DMark Wild Life Extreme benchmark.  

The results show the Tensor G4 edges out its predecessor, the Tensor G3, by just over 7%. While this points to some generational improvement, it’s a relatively small leap.

More concerning for some users is the Tensor G4’s inability to surpass the Snapdragon 8 Gen 1, a chipset released in 2021. In fact, the Snapdragon 8 Gen 1 holds a slight lead of about 2% in the benchmark. This performance gap against a three-old chip shows Google is clearly behind other SoCs in terms of performance.

The disparity becomes even starker when compared to the current-gen Snapdragon 8 Gen 3. The latest Qualcomm offering boasts a score over 100% higher than the Tensor G4 in the same benchmark. 

However, it’s important to remember that Google has already clarified its earlier statements regarding the focus of Tensor G4. The company is prioritizing AI capabilities over raw benchmark scores. The philosophy aligns with Pixel phones’ strengths in computational photography and on-device AI features.

Despite the lackluster benchmark results, there’s some good news. Google is reportedly planning to manufacture its 2025 Tensor chip using TSMC’s advanced 3nm process, shifting away from Samsung’s. This change could bring significant improvements in both performance and efficiency. We’ll continue to follow updates on the new chip.

For now, if you’re considering the Pixel 9 series for demanding tasks or gaming, it’s worth exploring other options before making a decision.

The post Tensor G4 fails in benchmark against 2021 Snapdragon 8 Gen 1 appeared first on Gizmochina.

The Tensor G4 was released with the Pixel 9 series in August. The tech community, including us at Gizmochina, was expecting some significant improvements over last year’s Tensor G3, but the benchmark results surprised us.

The Google Tensor G4 lags behind the Snapdragon 8 Gen 3 by a good margin on benchmarks (see the Tensor G4 vs. Snapdragon 8 Gen 3 comparison).

According to Google, the new Tensor chip offers 20% faster web browsing, 17% faster app launching, and up to 20% improved power efficiency. But how does it perform on benchmarks against the Tensor G3? And is it worth spending extra cash for Tensor G4? Let’s compare the two chips to find the answer.

Let’s begin our comparison with the spec sheet:

Tensor G4 vs Tensor G3: Benchmarks

[Note: For testing on different benchmarks, we picked the Pixel 9 Pro XL (powered by the Tensor G4) and the Pixel 8 Pro (powered by the Tensor G3).] 

[Geekbench 6]

It’s a CPU-centric test that runs a device through a series of computation workloads, including compression (text & images), encryption, physics simulations, rendering, ray tracing, and speech recognition.

The benchmarking platform outputs single-core and multi-core results. The single-core score shows the device/chip capability when a single core is used, and the multi-core score tells the CPU performance when multiple cores are at work.

The latest Tensor G4 manages to pull off higher points in both single-core and multi-core tests than last year’s Tensor G3. However, the difference is not significant. Let’s look at some more benchmarks for better understanding. 

[AnTuTu 10]

AnTuTu is a popular benchmarking platform that measures the CPU, GPU, memory, and UX performance of devices.

It’s quite surprising to see the Tensor G3 leading the CPU chart on AuTuTu 10, that too, by a significant margin. While GPU, memory, and UX scores went in favor of Tensor G4.

Before you start thinking a lot about these benchmarking results, let me quickly remind you that these scores do not reflect real-time performance, as it depends on many other factors, such as software optimizations, devices, and usage patterns.  

Tensor G4 vs Tensor G3: Key Differences

Samsung has manufactured the Tensor G4 and Tensor G3 using its 4 nm process node. However, the Tensor G4 has been manufactured using a newer technology, which translates to better efficiency.

The Tensor G3 has nine CPU cores, while the Tensor G4 has one less CPU core. It doesn’t mean lower performance or efficiency on the latest Tensor chip as it has high-performance and more efficient cores.

The latest Tensor chip has one Cortex-X4 prime core clocked at 3.1 GHz (vs. Cortex-X3 @ 2.91 GHz). The four Cortex-A720 performance cores also run at a higher clock speed than the Cortex-A715 in the Tensor G3. The remaining Cortex-A520 cores are more power-efficient than Cortex-A510 in Tensor G3.

Both chips have the same 7-core Mali-G715 GPU, although the newer chip runs at a higher clock frequency for better peak performance.

Tensor G4 doesn’t bring a big performance leap over last year’s Tensor G3, and Google is okay with it. Tensor chips have never been about blazing-fast performance; they’re more about unique features. “When we are designing the chip, we’re not designing it for speeds and feats. We’re not designing it to beat some specific benchmark that’s out there. We’re designing it to meet our use cases,” said Soniya Jobanputra, a key member of Google’s Pixel product management team.

The focus with Tensor G4 was not to beat benchmarks but to improve the speed and efficiency of opening apps. “We knew that we had a pain point with opening apps. And so as we built G4, we really focused on, okay, what do we need to do to make sure that experience is better for users,” Jobanputra added.

Besides CPU and GPU performance, some key changes have been made to improve connectivity. Tensor G4 has a new Exynos 5400 modem, which offers a 50% higher peak download speed. The new chip also supports satellite connectivity, which will be enabled when upgrading to Android 15, which is lacking on Tensor G3.

Tensor G4 vs Tensor G3: Verdict

Even though Tensor G4 has the latest ARM CPU cores, performance has not gone up drastically compared to last year’s Tensor G3. The GPU is unchanged, but it now runs at a higher clock frequency that might offer better peak performance, but again, it’s not a big deal.

On benchmarks, the Tensor G4 can’t even match the Snapdragon 8 Gen 2, released in 2022. So, Google seems a generation behind the latest chips from Qualcomm and Apple as far as performance is concerned. However, Tensor chips enable AI features you wouldn’t find on non-Pixel devices.

The bottom line is Tensor G4 is not a major upgrade over Tensor G3. However, we see big improvements coming next year, as Google will reportedly switch to TSMC for the manufacturing of Tensor G5 using its cutting-edge technology.

Popular Chip Comparisons:
1. Tensor G4 vs Snapdragon 8 Gen 3
2. Snapdragon 8 Gen 3 vs 8 Gen 2
3. Snapdragon 8 Gen 3 vs Dimensity 9300

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The new Tensor G4 fuels the latest Pixel 9 models released in August. It promises significant performance and battery improvements over last year’s Tensor G3. But are those improvements enough to beat the Snapdragon 8 Gen 3? We’ll see how the two chips stack up against each other on multiple benchmarks and the key differences setting them apart.

The Tensor G3, released last year, failed miserably against the Snapdragon 8 Gen 2. Whether it was CPU performance, GPU performance, or battery efficiency, the Snapdragon chip was always at the top. Now, we have a new Tensor chip, Tensor G4, and we’re excited to compare it against the Snapdragon 8 Gen 3.

Let’s begin with the spec sheet:

Tensor G4 vs Snapdragon 8 Gen 3: Benchmarks

[Note: For testing on different benchmarks, we picked the Pixel 9 Pro (powered by the Tensor G4) and the Galaxy S24 Ultra (powered by the Snapdragon 8 Gen 3).] 

Geekbench 6

It’s a CPU-centric test that runs a device through a series of computation workloads, including compression (text & images), encryption, physics simulations, rendering, ray tracing, and speech recognition.

The benchmarking platform outputs single-core and multi-core results. The single-core score shows the device/chip capability when a single core is used, and the multi-core score tells the CPU performance when multiple cores are at work.

The Geekbench scores are terrible for the Tensor G4 compared to the Snapdragon 8 Gen 3. The results are significantly better than last year’s Tensor G3, but the Tensor G4 is still lagging behind last year’s Snapdragon flagship chip.

The Snapdragon 8 Gen 3 has a 15% better single-core score, but the difference in multi-core scores is massive — it’s 51%.

AnTuTu 10

AnTuTu is a popular benchmarking platform that measures the CPU, GPU, memory, and UX performance of devices.

The difference in CPU scores on AnTuTu 10 between the Tensor G4 and Snapdragon 8 Gen 3 is even greater than on Geekbench v6, with the Snapdragon chip leading the chart. The difference is over 100% for the CPU score and around 44% for the GPU.

The total AnTuTu v10 score (CPU, GPU, Memory, UX combined) of the Snapdragon 8 Gen 3 is more than double that of the Tensor G4.

Other Benchmarks

We also ran the two chips through the CPU throttling test, where the Snapdragon 8 Gen 3 has outperformed the Tensor G4. The Snapdragon chip manages to achieve 90% performance without showing any sign of throttling, while the Tensor G4 shows throttling at 71%.

The GFXBench also favored the Snapdragon 8 Gen 3, as it attains higher FPS (frames per second) than the Tensor G4.

Tensor G4 vs Snapdragon 8 Gen 3: Key Differences

Although both Tensor G4 and Snapdragon 8 Gen 3 have eight cores and use the same cores, there are significant differences, causing major differences in benchmarks.

Both chips have one Corex-X4 prime core, but the one in the Snapdragon chip runs at a higher clock speed. The Tensor G4 only has three Cortex-A720 performance cores, while the Snapdragon 8 Gen 3 has five of them (three runs at 3.15 GHz and two at 2.96 GHz) for a better balance of performance and power efficiency.

The Tensor G4 has four Cortex-A520 power efficiency cores, while the Snapdragon 8 Gen 3 has two of them.

The latest Tensor chip features Mali-G715 MC7 GPU, whereas the Snapdragon chip has Adreno 750 with a full suite of Snapdragon Elite Gaming features and hardware-accelerated ray tracing support.

Although both chips support LPDDR5X RAM, the Snapdragon supports a higher frequency. The Exynos 5400 5G modem in the Tensor chip has a peak download speed of 14.79 Gbps, whereas the Snapdragon X75 5G modem inside the Snapdragon 8 Gen 3 peaks at 10 Gbps.

Another key difference is that the Snapdragon 8 Gen 3 supports a newer Bluetooth standard — Bluetooth 5.4 (vs. Bluetooth 5.3 on the Tensor G4).

One crucial difference between the two chips is their manufacturing process. The Tensor G4 is manufactured by Samsung using its 4nm process, while Qualcomm has chosen TSMC for the Snapdragon 8 Gen 3. TSMC’s chip manufacturing process is more advanced and highly efficient than Samsung’s.

All these changes combined have favored the Snapdragon 8 Gen 3 over the Tensor G4 by a significant margin.

Tensor G4 vs Snapdragon 8 Gen 3: Google’s Chip Still Has a Long Way to Go

The latest Tensor G4 brings a lot of improvements over last year’s Tensor G3. But it still can’t match the performance of the Snapdragon 8 Gen 3.

Geekbench and AnTuTu benchmarks show a massive gap in the CPU and GPU performance, with the Snapdragon chip leading the chart. However, the Tensor G4 does well on battery efficiency, sometimes better than the Snapdragon chip.

The Tensor G4 is still a good chip and offers a good mix of performance and power efficiency. However, the Snapdragon 8 Gen 3 offers much better performance while being power efficient.

The Tensor G4 would work fine for light work, but for gaming, editing, and other tasks that require a lot of processing, the Snapdragon 8 Gen 3 is a good choice.

Which one of these two chips would you pick for your next smartphone? Share your thoughts in the comment section below.

Popular Chip Comparisons:
1. Snapdragon 8 Gen 3 vs 8 Gen 2
2. Snapdragon 8 Gen 3 vs Exynos 2400
3. Snapdragon 8 Gen 3 vs Dimensity 9300

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The honeymoon phase for the Google Pixel 9 series might be ending early for mobile gamers. A test by Dame Tech reveals that the new Tensor G4 processor underperforms in Genshin Impact, lagging behind its predecessor, the Tensor G2, found in the Pixel 7 series.

Although Google has stated that the Tensor G4 prioritizes AI performance over raw benchmarks, concerns are growing as the chipset struggles with this popular, demanding mobile game.

Dame Tech’s tests focused on Genshin Impact, pushing the Pixel 9 Pro XL to its limits with the highest possible visual settings. The results were disappointing for Pixel fans: the Tensor G4 managed an average frame rate (FPS) of 39.2, a noticeable drop from the Pixel 7 Pro’s 45.3 FPS achieved with the older Tensor G2.

Interestingly, the Pixel 9 Pro XL maintained cooler temperatures during the test. The phone peaked at 37 degrees Celsius, while the Pixel 7 Pro reached a hotter 42 degrees Celsius. This suggests that throttling (performance reduction due to heat) isn’t the cause of the lower FPS.

According to Dame Tech, the likely issue is optimization. Genshin Impact, known for its demanding graphics, may not be fully optimized for the Pixel 9’s new hardware. This could explain the performance gap despite the cooler operation.

The gap becomes even more pronounced when compared to current flagship devices: the ROG Phone 8 Pro averages a stellar 61.1 FPS, while the iPhone 15 Pro Max and Galaxy S24 Ultra achieve 59.2 FPS and 51.4 FPS, respectively.

While Google prioritizes AI performance, it’s clear that further optimization is needed for the Tensor G4 in other areas. However, it’s important to note that this SoC is not designed for gaming, so it’s unlikely that gamers would choose the Pixel 9 over other current flagships in the first place.

The post Tensor G4’s gaming performance lags behind two-year-old Tensor G2 in Genshin Impact appeared first on Gizmochina.

Snapdragon 8 Gen 4 leaks, Huawei Mate 70 design revealed, and why cheap smartwatches might disappoint. Here’s an overview of the top stories over the past 24 hours.

1. Snapdragon 8 Gen 4 Leak: Dive into the leaked datasheet of Qualcomm’s next-gen flagship chipset. We’ll explore the two variants and key specifications that could shape the future of high-end smartphones.
2. Huawei Mate 70 Series Preview: Get an exclusive first look at the back design of Huawei’s upcoming Mate 70 series. We’ll analyze the changes in camera layout and what they might mean for mobile photography enthusiasts.
3. The Pitfalls of Cheap Smartwatches: Uncover the reasons why investing in a quality smartwatch might be more beneficial in the long run. We’ll break down the compromises often made in budget options and guide you towards making informed decisions.
4. Tensor G4 Benchmark Concerns: Examine the early benchmark results of Google’s Tensor G4 chip. We’ll discuss how it stacks up against competitors and what this could mean for the Pixel 9 series’ performance.

Plus, don’t miss our roundup of other exciting stories, including Xiaomi’s experimentation with back panel materials, Samsung’s battery upgrade speculations, Red Magic’s upcoming gaming tablet, and Motorola’s teaser for the Razr 50 in India!

Snapdragon 8 Gen 4 datasheet leaked, reveals two variants, key specifications

Qualcomm is expected to unveil the Snapdragon 8 Gen 4, its next-generation flagship chipset for smartphones, in October of this year. Months before the official announcement, a leaked datasheet emerged to reveal its key details.

Read More

Here’s our first look at the Huawei Mate 70 series’ back design

Huawei launched the Mate 60 series in China at the end of August last year. Given this timeline, it’s expected that the company will reveal the successor around this time. However, Weibo tipster Digital Chat Station previously claimed that the launch of the successors might be delayed, potentially occurring in mid-to-late Q4 this year.

In the latest leak, images of the back panels of the upcoming devices have been exposed, which reveals some changes in the camera layout.

Read More

Why you shouldn’t buy cheap smartwatches

The appeal of a low-priced smartwatch can be tempting, but the saying “you get what you pay for” often holds true. While some budget options are decent, many inexpensive smartwatches cut corners on important features, durability, and overall user experience. Let’s delve into the reasons why investing a bit more in a quality smartwatch might be a wiser choice.

Read More

Tensor G4 show disappointing performance in AnTuTu and Geekbench benchmarks

Early performance benchmarks for Google‘s Tensor G4 chip, used in the new Pixel 9 series, raise concerns about its raw processing power compared to competitors. Yesterday, there was a report about how the Google Tensor G4 lost over 50% of its performance in throttling tests.

Tech YouTuber Sahil Karoul recently shared benchmark scores from a retail Pixel 9. His results reveal a significant performance gap between the Tensor G4 and its main competitor, the Qualcomm Snapdragon 8 Gen 3.

Read More

More Top Stories You Might Have Missed

• Xiaomi 15 Ultra reportedly in works with three different back panel materials
• Galaxy S25 Ultra battery upgrade hopes dashed by new information
• Red Magic Gaming Tablet 3 coming next year with Snapdragon 8 Gen 4 & a small display
• Motorola Razr 50 India launch soon, teaser goes live

The post GC Daily: Snapdragon 8 Gen 4 datasheet reveals two variants, Huawei Mate 70 series’ design leaked appeared first on Gizmochina.

Early performance benchmarks for Google‘s Tensor G4 chip, used in the new Pixel 9 series, raise concerns about its raw processing power compared to competitors.

Tech YouTuber Sahil Karoul recently shared benchmark scores from a retail Pixel 9. His results reveal a significant performance gap between the Tensor G4 and its main competitor, the Qualcomm Snapdragon 8 Gen 3.

In AnTuTu v10, the Pixel 9 scored just 927,945 points. This score is well below the Snapdragon 8 Gen 3, which typically exceeds 2 million points. That means, the Tensor G4’s performance is over 50% lower in raw processing power.

The trend continues in Geekbench 6, where the Pixel 9’s Tensor G4 scored 1556 in single-core and 3706 in multi-core tests. In contrast, the Snapdragon 8 Gen 3 averages around 2226 and 6917 in these tests (data from NoteBookCheck.) 

These results suggest that the Tensor G4 may struggle to match the Snapdragon 8 Gen 3’s raw CPU and GPU performance.

Karoul also shared a screenshot of a CPU stress test showing that, after 15 minutes, the Tensor G4 throttled down to 59% of its peak performance. As a result, Pixel 9 might have difficulty handling demanding or prolonged tasks.

Google has not officially disclosed the Tensor G4’s specifications. However, Geekbench results suggest it might feature one high-performance core at 3.1 GHz, three cores at 2.6 GHz, and four efficiency cores at 1.95 GHz.

While these early benchmarks may raise concerns about the processor’s raw power or sustained performance, it’s crucial to remember that raw processing power isn’t the whole story. Rather Google is emphasizing the Tensor G4’s focus on AI and machine learning capabilities. 

However, for users prioritizing raw performance,  these early results suggest that the Pixel 9 may fall short compared to competitors using the latest chips like Snapdragon 8 Gen 3. We’ll need to wait for additional testing and real-world evaluations to fully understand how the Tensor G4 affects the Pixel 9’s overall user experience.

The post Tensor G4 show disappointing performance in AnTuTu and Geekbench benchmarks appeared first on Gizmochina.

Here’s a list of news that has been trending over the weekend!

Today’s Highlights:

1. Google Tensor G4 Throttling Concerns: Dive into the early reports suggesting significant performance drops in the Pixel 9 Pro XL’s Tensor G4 chip.
2. Samsung’s Potential Naming Shake-up: Explore the rumors surrounding Samsung’s possible rebranding of its flagship line. There could be a new Note model too.
3. Huawei Export Restrictions Update: Unpack the latest developments in Huawei’s ongoing battle with U.S. export restrictions. We’ll have to wait and see the potential implications of the California Democrats’ recent move for both Huawei and U.S. tech competitiveness.
4. Dual-layer OLED Tablet Race: Get the scoop on the upcoming high-end tablets from Xiaomi, Honor, and Huawei featuring advanced dual-layer OLED displays. We’ll break down what this technology means for the tablet market.

Plus, don’t miss our roundup of other headline-grabbing stories, including a face-off between the Google Pixel 9 and Samsung Galaxy S24, Lenovo’s next-gen gaming tablet, Pixel 9 series pricing and deals, and Samsung’s latest affordable smartphone launch!

Disappointing: Google Tensor G4 loses over 50% of its performance in throttling test

Google‘s custom silicon efforts have faced consistent critiques regarding thermal management and sustained performance. Now, early reports suggest the Pixel 9 Pro XL’s Tensor G4 might be particularly susceptible to this issue.

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Galaxy S26 Ultra might become S26 Note, S26+ Could Be Pro, suggest rumor

Samsung‘s Galaxy S series has long been a mainstay in the Android smartphone market, offering a clear and consistent naming scheme. However, a recent rumor suggests the South Korean giant might be considering a shake-up for the upcoming Galaxy S26 lineup.

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Can we expect a pause on Huawei export restrictions?

Huawei‘s future under U.S. export restrictions is uncertain, but a recent move by California Democrats suggests a possible shift. In a letter to Alan Estevez, Under Secretary for Industry and Security at the U.S. Commerce Department, California representatives Alex Padilla and Zoe Lofgren voiced concerns about the impact of further restrictions on U.S. competitiveness.

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Xiaomi, Honor, and Huawei, all have dual-layer OLED flagship tablets in line this year

Xiaomi is gearing up to launch the Pad 7 series in September, featuring advanced dual-layer OLED displays. The Pro model will boast the powerful Snapdragon 8 Gen 3 chip. This comes as other tech giants like Huawei and Honor are also planning to release high-end tablets with similar cutting-edge display technology by the end of the year.

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More Top Stories You Might Have Missed

• Google Pixel 9 vs. Samsung Galaxy S24: Which is the Better Buy?
• Next-gen Lenovo gaming tablet spotted with Snapdragon 8 Gen 3 chip
• Pixel 9 Series Pricing and Deals: Explore the exciting offers on Pixel 9, 9 Pro, 9 Pro XL, and 9 Pro Fold
• Samsung quietly launches its latest affordable phone with Key Island design, Helio G85

The post GC Daily: Tensor G4 throttling to 50% of its performance in test, dual layer OLED tablets launching in 2024 appeared first on Gizmochina.

According to some previous rumors, Samsung has achieved success with its 3nm process nodes and the development of its 2nm process nodes is also progressing smoothly.

However, a recent report from Businesskorea indicates that Samsung Foundry’s 3nm process remains significantly inferior to TSMC’s, both in yield rate and power efficiency. For those unfamiliar, higher yield rates mean more functional chips per wafer, lowering the cost per chip and increasing profitability.

As a result, it is expected that most fabless manufacturers including NVIDIA, AMD, Intel, Qualcomm, MediaTek, and Apple will continue to rely on TSMC for their 3nm chips. It has also been reported that Google will switch to TSMC for its 2025 flagship chipset Tensor G5. Notably, the Tensor G4, which will power the upcoming Pixel 9 series, will still be manufactured by Samsung Foundry and will be based on an updated 4nm process.

Samsung talked about the mass production of their 3nm chips 3 years ago. Back in June 2022, Samsung Foundry was the first in the industry to apply the 3nm gate-all-around (GAA) process to mass production. However, due to the limitations, the company is still struggling to secure customers for the end product. The first generation 3nm process node (SF3E) has performed below the company’s expectations when it comes to performance and power efficiency. It has reportedly been adopted by some niche scenarios like chips for cryptocurrency mining. However, a widespread adoption will still require more improvements in power efficiency and yield rates.

The relatively lower yield rates and power efficiency of Samsung Foundry’s process nodes have long been problematic and are considered the main reasons for the performance gap between Snapdragon (those that are fabricated by TSMC) and Exynos-powered Galaxy devices.

According to a previous report, Qualcomm is considering a dual-sourcing strategy by partnering with Samsung Foundry alongside TSMC. While this is aimed at securing the company’s business by not relying on a single manufacturer, the company’s CEO mentioned “the current focus must be on the foundry production at TSMC.”

(Source)

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Let’s say you’re a smartphone manufacturer aiming to develop a new model. You have two options: partner with an established chipmaker like Qualcomm or MediaTek, or follow the path of Apple by designing your own custom chipset. This allows for tighter integration between software and hardware, potentially leading to better performance, a strategy successfully employed by Apple for their iPhones.

Google has taken a similar approach, developing its in house Tensor processors. Recent information suggests the Pixel 9 will feature the Tensor G4 chipset, promising improved heat and power management for an enhanced user experience. Here are the details…

Google Tensor G4 could have better heat and power management

Google is set to release the Pixel 9 smartphones later this year, featuring the Tensor G4 chip. Recent leaks suggest the G4 will offer improved heat and power management, potentially leading to cooler operation and better battery life. Rumors also indicate the G4 will be manufactured by Samsung on a 4nm process.

Early reports also suggest the Tensor G4 will offer modest upgrades over the G3. The spotlight is really on the Tensor G5, which promises to enhance the Pixel 10 series significantly. This will be Google’s first “true” custom-designed Tensor chip, with greater in-house development. Increased control over hardware and software integration should deliver a highly optimized Android experience.

This move brings Google closer to Apple’s level of vertical integration. However, it is still too early to talk about Tensor G5 and Pixel 10. Nevertheless, knowing that the Pixel 9 series will deliver performance beyond expectations is quite sufficient for us technology enthusiasts.

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Google‘s upcoming Pixel 9 series, and possibly the Pixel Fold 2, are expected to feature the Tensor G4 chip. The SoC is rumored to be produced by Samsung Electronics Foundry.

A recent report from the Korean publication Financial News, backed by industry sources, corroborates that Google and Samsung are collaborating on the Tensor G4.

The Tensor G4 is said to utilize Samsung’s advanced 4-nanometer process alongside FOWLP (Fan-out Wafer Level Packaging). 

The result, the report says, will be improved thermal management, power efficiency, and performance, areas where the previous Tensor G3 reportedly fell short compared to competitors.

The report adds that the decision for Google to opt for Samsung Electronics’ 4nm process stems from the positive reception of Samsung’s Exynos 2400 chip used in the Galaxy S24 series. That means the success of the Exynos 2400 chip has certainly bolstered Samsung’s reputation as a capable semiconductor manufacturer. 

Not only Google, but also other tech industry players seem interested in alternatives to TSMC, as evidenced by visits from leaders at Open AI, TenStorrent, and Meta to Samsung Electronics.

As for the Tensor G4 SoC specs, there’s still much we don’t know. A previous leak suggested the chip might include a hardware-based ray-tracing GPU, which isn’t surprising considering Samsung has been integrating it with their Exynos processors for a few generations now.

Moreover, the rumor suggests that Google will be sticking with a tried-and-tested 3-core architecture featuring Cortex-X4, Cortex-A720, and Cortex-A520 cores. While the exact core count remains unknown, we can expect the new chip to offer better performance. We’ll keep you posted on any further updates regarding the Tensor G4 SoC.

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The post Google Tensor G4 chip to have better performance and efficiency: Report appeared first on Gizmochina.

Leaks and rumors circulating about Google‘s upcoming Tensor G4 chip suggest it may not be a substantial upgrade from Tensor G3. 

Although there’s no solid evidence to confirm this speculation, a supposed Geekbench listing recently emerged for a new Google chipset, likely the Tensor G4, lending some credibility to these claims.

The listing surfaced on Geekbench under the device codenamed “Google Tokay.” It’s uncertain which smartphone exactly the “Tokay” is; possibilities include the Pixel 9, 9 Pro, or the recently leaked Pixel Fold 2.

But what’s important here is the thing powering it. The listing reveals that the chip powering the device has one Cortex-X4/X5 core clocked at 3.1 GHz, three Cortex-A7xx cores at 2.6 GHz, and four Cortex-A5xx cores at 1.95 GHz.

This brings the total CPU core count to eight, which is one less than the nine cores on the Tensor G3. So we’re not sure whether this chip is indeed the upcoming Tensor G4. For graphics, there’s an Arm Mali G715 GPU, and the device has 8GB of RAM.

Furthermore, its performance also falls short compared to the Tensor G3. The latter can easily manage Geekbench scores of 1268 and 3510 but the new chip can only reach 1082/1024 in single-core tests and 3121/2788 in multi-core tests. 

The Tensor G4 is expected to use the same 4LPP+ manufacturing process as Samsung’s Exynos 2400. While the Exynos 2400 can rival flagship chips from Qualcomm and MediaTek, it remains uncertain if the Tensor G4 will achieve the same level of performance.

As aforementioned, if we go by current rumors, the Tensor G4 would not be a huge upgrade. However, there are expectations for performance improvements with the Tensor G5.

The next iteration of Tensor SoC is rumored to be custom-designed by Google and will be manufactured by TSMC which should lead to better performance and efficiency. It’s just early speculations though, so it’s better to take this information with a pinch of salt.

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(Via)

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A recent report has dashed earlier expectations of the Google Tensor G4 being a groundbreaking in-house custom chip. Instead, it appears the Tensor G4 will bring only modest improvements compared to the upcoming Tensor G3, slated to debut alongside the Pixel 8 series on October 4th.

That being said, tipster @Tech_Reve has leaked more details about the chip on X (Twitter). As per the leak, it looks like the Tensor G4 isn’t straying far from its Samsung Exynos roots. It’s sticking with a tried-and-true 3-core design with Cortex-X4, Cortex-A720, and Cortex-A520 cores. The core count remains a mystery, however, we can expect these new chips to provide slightly improved performance.

As for the GPU, the leaker claims that the Tensor G4 will feature the Immortalis-G715 GPU, which was launched by ARM back in June of 2022. ARM claims that this new GPU provides 15% improved performance across a wide range of applications. Another key standout feature here is the hardware acceleration for ray tracing.

That being said, there is also some disappointing news. According to the leaker, Google is opting for Samsung’s 4LPP+ node (4 nanometers), the same as the Exynos 2400. It looks like Google isn’t keen on using Samsung’s cutting-edge 3GAP node (3 nanometers) while knowing that almost all of the competition would have a 3nm chip in their devices by that time.

The hope for a TSMC-made in-house Tensor chip has been pushed back to Tensor G5, which is expected to power the Pixel 10 series smartphone.

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(Source)

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Google is currently working on its next-generation Tensor G4 chip, which is intended for use in the upcoming Pixel 9 series smartphones. These smartphones are expected to launch in 2024.

Google’s Tensor G4 may have minor upgrades over Tensor G3

Google is collaborating with Samsung’s System LSI department to develop the Tensor G4 chip, codenamed Zuma Pro. According to a report by Android Authority, this chip is closely based on Samsung’s Exynos 2400 and is expected to deliver slightly improved performance compared to its predecessor, the nine-core Tensor G3 chip.

The Tensor G3 chip codenamed Zuma is being developed with input from Samsung’s Exynos 2300 chip, which has not been released yet. During the development phase, the G3 chip is being tested on a “Ripcurrent” board, while the G4 chip utilizes a “Ripcurrent Pro” board.

In 2025, Google aims to launch the Pixel 10 smartphone featuring the fully custom-designed Tensor G5 chip. A significant shift in the manufacturing process involves moving from Samsung to TSMC for producing the Tensor G5 chip. This marks Google’s ambitious step toward creating a unique chip for its future devices.

According to past reports, Google is set to release the Pixel 8 and Pixel 8 Pro smartphones, featuring the Tensor G3 chip, on October 4, 2023. These phones will boast improved designs and upgraded cameras.

Both models will include larger ISOCELL GN2 main camera sensors. Additionally, the Pixel 8 Pro will have a 64MP ultra-wide-angle camera, while the Pixel 8 will feature a 12MP ultra-wide-angle camera. The Pixel 8 Pro is reported to include a 48MP telephoto camera with 5x optical zoom capabilities.

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(Via)

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