Google’s latest mobile processor, the Tensor G4, powers the Pixel 9 series of phones. The G4 boasts an 8-core design with a top clock speed of 3100 MHz, built on a 4-nanometer process. This new chip aims to boost performance and efficiency for Google’s flagship devices. This powerful processor blends performance, efficiency, and AI capabilities, promising a unique and compelling user experience. While benchmarks reveal areas where it trails competitors, the Tensor G4’s focus on AI and machine learning sets it apart, paving the way for exciting innovations in smartphone technology.
The Tensor G4 features a mix of high-performance and energy-efficient cores. It has one Cortex-X4 core running at 3100 MHz, three Cortex-A720 cores at 2600 MHz, and four Cortex-A520 cores at 1920 MHz. This setup balances speed and battery life for varied tasks.
Benchmark tests show mixed results for the G4. In Geekbench 6, it scored 1,897 for single-core and 3,721 for multi-core tasks. While these scores are an upgrade from past models, they fall behind some top competitors like the Snapdragon 8 Gen 3.
Google’s Tensor G4: A Closer Look at Specs and Performance
The Tensor G4, Google’s fourth-generation custom SoC, embodies the company’s vision for smartphone silicon. Designed with a focus on AI and machine learning, the G4 combines power and efficiency to provide a seamless user experience. Its octa-core CPU, Mali-G715 GPU, and advanced TPU work in harmony to deliver smooth performance, impressive graphics, and intelligent features.
Core Architecture
The Tensor G4, built on a 4nm process, boasts an octa-core configuration designed for a blend of power and efficiency:
- 1x Cortex-X4 core @ 3.10 GHz (High performance)
- 3x Cortex-A720 cores @ 2.60 GHz (Balanced performance)
- 4x Cortex-A520 cores @ 1.92 GHz (Efficiency)
Graphics and AI
The chip features an integrated Mali-G715 MP14 GPU and a next-generation Tensor Processing Unit (TPU) for handling demanding graphics and AI tasks, respectively. This combination promises improvements in machine learning capabilities, powering features like advanced photo processing and real-time language translation.
Tensor G4 GPU
The Tensor G4 features an integrated Mali-G715 MP14 GPU, offering a substantial boost in graphics performance compared to the previous generation. This translates to smoother gameplay, enhanced visual effects, and improved handling of graphically intensive applications. While it might not match the raw power of some dedicated gaming chipsets, the G4’s GPU delivers a capable and enjoyable gaming experience on Pixel devices.
Connectivity
The Tensor G4 incorporates the new Exynos 5300 modem, offering support for sub6 5G and mmWave networks. This ensures faster download and upload speeds, enabling seamless streaming and online gaming experiences.
Tensor G4 Modem
A key component of the Tensor G4 is the integrated Exynos 5300 modem, a significant upgrade over its predecessor. The 5300 modem brings support for both sub6 5G and mmWave networks, ensuring faster and more reliable connectivity. This translates to quicker downloads, smoother streaming, and an overall improved online experience.
Benchmark Comparisons
While benchmark scores don’t tell the whole story, they offer a glimpse into the Tensor G4’s performance compared to other flagship chipsets:
| Benchmark | Tensor G4 | Snapdragon 8 Gen 3 |
|---|---|---|
| Geekbench 6 (Single-Core) | 1897 | 2234 |
| Geekbench 6 (Multi-Core) | 3721 | 6985 |
While the Tensor G4 delivers respectable performance, it lags behind the Snapdragon 8 Gen 3 in raw CPU power, particularly in multi-core tasks. However, real-world usage will likely showcase the Tensor G4’s strengths in AI and machine learning applications.
Real-World Performance
In real-world usage, the Tensor G4 delivers a fluid and responsive experience, effortlessly handling everyday tasks and demanding applications. Its strengths lie in AI-driven features, where the chip’s specialized TPU excels in tasks like voice recognition, real-time translation, and advanced photo processing. While benchmark scores might reveal some limitations in raw CPU and GPU performance compared to certain competitors, the Tensor G4’s overall performance is impressive, particularly in AI-centric use cases.
Comparisons
| Feature | Tensor G4 | Snapdragon 8 Gen 3 | Snapdragon 8 Gen 2 | A17 Pro | Snapdragon 888 | Tensor G3 |
|---|---|---|---|---|---|---|
| CPU Cores | 8 (1+3+4) | 8 (1+5+2) | 8 (1+3+4) | 6 (2+4) | 8 (1+3+4) | 8 (2+2+4) |
| CPU Clock Speed (Max) | 3.10 GHz | 3.30 GHz | 3.20 GHz | 3.78 GHz | 2.84 GHz | 2.85 GHz |
| GPU | Mali-G715 MP14 | Adreno 750 | Adreno 740 | Apple A17 GPU | Adreno 660 | Mali-G710 MP7 |
| AI Accelerator | Tensor Processing Unit (TPU) | Hexagon Processor | Hexagon Processor | 16-core Neural Engine | Hexagon 780 | Tensor Processing Unit (TPU) |
| Modem | Exynos 5300 | Snapdragon X75 | Snapdragon X70 | – | Snapdragon X60 | Exynos 5123 |
| 5G Support | Sub6, mmWave | Sub6, mmWave | Sub6, mmWave | – | Sub6, mmWave | Sub6 |
| Manufacturing Process | 4nm | 4nm | 4nm | 3nm | 5nm | 5nm |
| Geekbench 6 (Single-Core) | 1897 | 2234 | 1951 | 3031 | 1135 | 1405 |
| Geekbench 6 (Multi-Core) | 3721 | 6985 | 5347 | 7860 | 3740 | 3392 |
| Strengths | AI & ML Performance, Power Efficiency | Raw CPU & GPU Power, Gaming | Balanced Performance, AI | CPU & GPU Performance, AI | – | – |
| Weaknesses | Raw CPU & GPU Performance | – | – | – | Outdated, Lower Performance | Outdated, Lower Performance |
Tensor G4 vs. Snapdragon 8 Gen 3
When pitted against the Snapdragon 8 Gen 3, the Tensor G4 shows its prowess in AI-driven tasks but lags behind in raw CPU and GPU performance. The 8 Gen 3, with its more powerful cores and advanced GPU, generally edges out the Tensor G4 in benchmark scores and demanding tasks like gaming. However, the G4’s specialized TPU excels in machine learning applications, potentially offering a smoother experience with features like voice assistants and real-time translation.
Tensor G4 vs. Snapdragon 8 Gen 2
Compared to its predecessor, the Snapdragon 8 Gen 2, the Tensor G4 showcases noticeable improvements across the board. The newer chip boasts faster CPU cores, an upgraded GPU, and a more capable TPU. This translates to better overall performance, smoother graphics, and enhanced AI capabilities. While the 8 Gen 2 remains a formidable contender, the Tensor G4 presents a clear upgrade, particularly for AI-centric tasks.
Tensor G4 vs. A17 Pro
While a direct comparison between the Tensor G4 and Apple’s A17 Pro is yet to be fully realized, early benchmarks suggest the A17 Pro may hold a slight edge in raw CPU and GPU performance. However, the Tensor G4’s focus on machine learning and its custom TPU could lead to unique advantages in AI-driven features and applications, potentially leveling the playing field in real-world usage.
Tensor G4 vs. Snapdragon 888
The Tensor G4 significantly outperforms the older Snapdragon 888 in almost every aspect. With its newer architecture, improved CPU cores, and enhanced GPU, the G4 offers a substantial boost in overall performance, graphics capabilities, and power efficiency. Users upgrading from a device with the Snapdragon 888 will likely experience a noticeable improvement in speed and responsiveness.
Tensor G4 vs. G3 (Tensor G3)
Representing a generational leap, the Tensor G4 brings significant advancements over its predecessor, the Tensor G3. The G4 features a more powerful CPU configuration, an upgraded GPU, and a next-generation TPU, delivering improved performance across various tasks. Notably, the G4’s enhanced AI capabilities enable faster and more sophisticated machine learning applications, making it a compelling upgrade for Pixel enthusiasts.
Key Takeaways
- Tensor G4 uses a new 8-core design with improved processing speeds
- Benchmark scores show gains but still lag behind some rival chips
- The G4 chip brings upgrades to Pixel 9 phones in speed and efficiency
Tensor G4 Chip Overview
Google’s Tensor G4 chip brings new features and better performance to Pixel phones. The G4 uses a new design with faster cores and improved AI abilities.
Architecture and Core Configuration
The Tensor G4 has a 1+3+4 core setup. It has one Cortex-X4 core running at 3.1 GHz for top speed. There are also three Cortex-A720 cores at 2.6 GHz for high performance tasks. Four Cortex-A520 cores at 1.9 GHz handle background jobs and save power.
This mix of cores lets the G4 balance speed and battery life. The X4 core is great for quick tasks. The A720 cores help with harder work. The A520 cores use less power for easy jobs.
Performance and Benchmarking
Early tests show the G4 is faster than older Tensor chips. In Geekbench 6, it scored about 20% higher in single-core tests. Multi-core scores went up by 25%.
AnTuTu results also improved. The G4 scored around 15% better overall. 3DMark tests for graphics were 30% faster.
Real-world speed is hard to measure. But apps should open faster and run smoother. AI tasks like photo editing will likely see big gains.
Process Technology and Efficiency
The G4 uses a 4nm process from TSMC. This smaller size helps it use less power and make less heat.
A new vapor cooling system helps keep the chip cool during hard work. This lets it run at top speed longer without slowing down.
Battery life should be better too. The efficient cores and cooling mean the G4 can do more with less power. Early tests show phones lasting 1-2 hours longer than last year’s models.
Multimedia and Connectivity Features
The Tensor G4 chip brings advanced multimedia capabilities and strong connectivity options. It supports high-resolution displays, powerful graphics, and fast wireless connections.
ISP, GPU, and Display Support
The Tensor G4 includes an upgraded Image Signal Processor (ISP) for better photo and video processing. This allows phones to capture sharper images and smoother videos.
The Mali-G715 GPU handles graphics duties. It can run demanding 3D games and supports high refresh rate displays. Phones with the G4 chip can use screens up to 3840 x 2400 resolution.
For security, the G4 works with the Titan M2 chip. This keeps sensitive data safe on the device.
Audio and Video Capabilities
The G4 supports many audio and video formats. It can play and record high-quality WAV, AAC, AIFF, MP3, and MP4 files.
Video recording gets a boost from the new ISP. The chip enables faster video processing and better low-light performance.
For audio, the G4 works with various codecs. This gives clear sound for music, calls, and videos.
Connectivity and Communication
5G is a key feature of the Tensor G4. Its built-in 5G modem allows for fast mobile data speeds where 5G networks are available.
Wi-Fi 7 support brings the latest in wireless internet. This means quicker connections and less lag when using Wi-Fi.
Bluetooth 5.3 is also included. It improves wireless audio quality and range for headphones and speakers.
Comparative Analysis With Competitors
The Tensor G4 chip faces tough competition from Qualcomm and Samsung. It brings some key improvements but still lags behind in certain areas.
Against Qualcomm Snapdragon Series
The Tensor G4 aims to challenge Qualcomm’s Snapdragon 8 Gen 3. In raw performance, the G4 falls short. The Snapdragon 8 Gen 3 has faster clock speeds and better benchmark scores.
The G4’s CPU has a top speed of 3.1 GHz. The Snapdragon can reach 3.3 GHz. This leads to faster app loading and smoother multitasking on Snapdragon phones.
Graphics performance is also stronger on the Snapdragon. Its Adreno 750 GPU beats the G4’s Mali-G715 in most games and 3D tasks.
One bright spot for the G4 is AI. Google’s chip has special AI cores that help with tasks like photo editing and voice recognition.
Comparison with Samsung Exynos
The Tensor G4 shares some parts with Samsung’s Exynos chips. Both use ARM designs and Samsung’s factories. This leads to similar strengths and weaknesses.
In CPU tests, the G4 and Exynos 5400 are close. The G4 has a slight edge in single-core tasks. The Exynos does better in multi-core jobs.
Both chips struggle with heat and power use compared to Snapdragon. This can lead to shorter battery life in phones.
The G4 pulls ahead in AI and machine learning. Google’s custom AI cores give it an edge for features like live translation and photo processing.
Prospects of Next-Generation Tensor Chips
The Tensor G5 is set to arrive in late 2025. It aims to close the gap with top rivals.
Early rumors point to a big jump in performance. The G5 may use newer ARM cores and a more advanced 3nm process. This could boost speed and efficiency.
Google is also working on custom CPU cores. These might debut in the G5 or G6. Custom cores could help Google better match its chips to Pixel phone needs.
AI will remain a key focus. Expect even more powerful AI cores in future Tensor chips. This could enable new features for Pixel phones that other brands can’t match.
FAQs
Is Tensor G4 good?
Yes, the Tensor G4 is a good processor, especially for tasks involving AI and machine learning. It delivers smooth performance in everyday use and handles demanding apps competently. While it may not lead in raw CPU and GPU power compared to some rivals, its focus on AI capabilities makes it stand out for features like voice recognition, real-time translation, and advanced photo processing.
Is Google Tensor better than Snapdragon?
The comparison between Google Tensor and Snapdragon isn’t straightforward. Snapdragon chips generally excel in raw CPU and GPU performance, making them ideal for demanding tasks like gaming. However, Tensor processors prioritize AI and machine learning capabilities, delivering unique advantages in features like voice assistants, language translation, and computational photography. The “better” choice depends on individual user priorities and needs.
How fast is the Tensor G4?
The Tensor G4 offers a noticeable performance boost compared to its predecessors. Its Cortex-X4 core, clocked at 3.10 GHz, delivers snappy performance in single-threaded tasks, while the combination of Cortex-A720 and A520 cores ensures efficient handling of multi-threaded workloads. While benchmark scores might show it trailing some competitors in raw power, the G4’s real-world performance is smooth and responsive for most users.
Is Tensor worth it?
Whether Tensor is “worth it” depends on your priorities. If you value AI-powered features, a seamless software experience, and unique capabilities like advanced photo processing, then Tensor is a compelling choice. However, if raw CPU and GPU performance for demanding tasks like gaming is paramount, you might find other options more suitable.
What are the pros and cons of Tensor?
**Pros:**
- Excellent AI and machine learning performance
- Smooth and responsive everyday performance
- Unique features like real-time translation and advanced photo processing
- Tight integration with Google’s software ecosystem
**Cons:**
- May lag behind some competitors in raw CPU and GPU performance
- Limited availability compared to other chipsets
Is Tensor made by Samsung?
While Tensor chips are designed by Google, they are manufactured by Samsung using their fabrication process. The collaboration between Google and Samsung allows for customization and optimization of Tensor chips for specific Pixel features and capabilities.
What is the difference between Tensor 4 and Tensor 3?
The Tensor G4 offers significant improvements over the Tensor G3. Key differences include:
- Faster CPU cores
- Upgraded GPU for improved graphics performance
- Next-generation TPU for enhanced AI capabilities
- New Exynos 5300 modem with faster 5G connectivity
- Overall improved power efficiency
Is Tensor is a flagship processor?
Yes, Tensor is positioned as a flagship processor designed to power Google’s Pixel smartphones. It aims to deliver a premium experience with a focus on AI and machine learning capabilities, competing with other top-tier chipsets from companies like Qualcomm and Apple.
What chip is Tensor based on?
Tensor chips are based on ARM architecture, utilizing a combination of ARM’s standard CPU and GPU designs alongside Google’s custom Tensor Processing Units (TPUs). This hybrid approach allows Google to leverage ARM’s established technology while incorporating its own innovations for specialized tasks like AI and machine learning.
