For years, Google’s custom Tensor processors were praised for their computational photography prowess and AI smarts, but criticized for thermal throttling and modem stability issues. That narrative is set to change with the launch of the Google Tensor G6, debuting inside the upcoming Pixel 11 series.
Manufactured using TSMC’s cutting-edge 2nm process node, the Tensor G6 represents Google’s biggest silicon leap to date.
Key Highlights
2nm TSMC Fabrication: Major leap in energy efficiency and peak processing speeds.
Upgraded Modem: Features the MediaTek M90 5G modem to resolve signal dropping and battery drain.
Local Gemini Nano 2: Runs complex generative AI tasks completely on-device.
Built on TSMC's 2nm Node
As reported by an inside source via TrendForce, reports say Google may shift chip fabrication from Samsung Foundry to TSMC’s advanced 2nm process. This transition brings significant architectural advantages:
Potential efficiency gain: The reported process may improve performance per watt, but a phone-level gain is not yet confirmed.
Better Thermal Management: A redesigned vapor chamber cooling setup combined with the 2nm efficiency ensures sustained gaming performance without sudden frame drops.
+-------------------------------------------------------------+
| Tensor G5 vs Tensor G6 Quick Specs |
+----------------------+--------------------+-----------------+
| Spec | Tensor G5 | Tensor G6 |
+----------------------+--------------------+-----------------+
| Process Node | 3nm | 2nm TSMC |
| Modem | Exynos 5400 | MediaTek M90 5G |
| On-Device AI Engine | TPU v2 | Next-Gen NPU |
| Thermal Architecture | Standard Graphite | Vapor Chamber |
+----------------------+--------------------+-----------------+
No More Signal Drops: MediaTek Modem Integration
One of the most requested upgrades from Indian consumers has been cellular reliability. Google is replacing the older Exynos modems with MediaTek's M90 5G modem. The modem is expected to target stronger efficiency and connectivity, but India-specific network results have not yet been independently established.
On-Device Gemini Processing
With Tensor G6’s upgraded Neural Processing Unit (NPU), the Pixel 11 will run next-generation Gemini Nano models natively. Actions like real-time video rendering, live translation, and offline image manipulation will execute locally on your device without transmitting data to external servers.
What is reported and what is confirmed
The current Tensor G6 details come from supply-chain and pre-launch reporting, including coverage by TrendForce. Google has not published a final Tensor G6 specification sheet. The reported TSMC 2nm process, MediaTek M90 modem, CPU layout and NPU capabilities should therefore be treated as unconfirmed until Google’s launch material identifies them.
A move to a smaller manufacturing node can improve performance per watt, but node names do not translate directly into a fixed battery-life gain. Claims such as “40% better efficiency” normally describe a foundry process under particular conditions, not a guarantee that a finished Pixel will last 40% longer. Display power, modem behaviour, software, battery capacity and thermal limits all affect real-world endurance.
Why the modem may matter more than benchmarks
For Indian users, reliable reception on Jio and Airtel, standby drain and heat during 5G use may be more valuable than a short peak benchmark lead. A modem change could help, but compatibility alone cannot prove stronger coverage. Independent testing should compare signal retention, call stability, data speed and battery drain in weak-signal areas across both standalone and non-standalone 5G networks.
What on-device AI actually changes
Running some AI tasks locally can reduce latency and keep selected data on the phone, but not every Gemini feature will necessarily work offline. Model size, language support and regional availability can differ. Buyers should wait for Google to specify which functions run entirely on the device, which use the cloud and which require a subscription or later software update.
How to judge Tensor G6 after launch
Compare sustained performance after 20–30 minutes, not one benchmark run.
Measure camera use, navigation and 5G standby drain.
Check temperature during video recording, gaming and mobile-data use.
Verify Indian network behaviour and emergency-call reliability.
Separate launch-day AI features from those promised for later.
SpecFront’s take
Tensor G6 could be an important efficiency upgrade, but the headline “2nm” label cannot establish that it will outpace the latest Snapdragon or Apple silicon. Different chips prioritise different workloads, and a Pixel’s value depends on camera processing, connectivity and sustained efficiency as much as peak speed. A firm verdict should wait for Google’s official disclosures and independent retail-device testing.