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There is no established, directly matched benchmark result proving whether Apple’s A18 Pro or Google’s Tensor G6 is faster overall. The available evidence combines Apple’s 2024 specifications and generational performance claims with 2026 Pixel 11 review tests; those are different kinds of evidence, not a head-to-head comparison. Here is what each source supports—and what it does not.
At a glance: the chips and the evidence
| Area | Apple A18 Pro | Google Tensor G6 |
|---|---|---|
| Phones | iPhone 16 Pro and iPhone 16 Pro Max, introduced in 2024 | Pixel 11 family, announced in 2026 |
| Published CPU details | Apple specifies a 6-core CPU: two performance cores and four efficiency cores. | Android Authority reports one Arm C1-Ultra core at 4.11 GHz, four Arm C1-Pro cores at 3.38 GHz, and two Arm C1-Pro cores at 2.65 GHz. Google’s cited specifications do not provide a comparable full chip specification sheet. |
| GPU and AI details | Apple lists a 6-core GPU and 16-core Neural Engine. It also describes next-generation machine-learning accelerators and increased total system memory bandwidth. | Google says Tensor G6 runs the latest Gemini Nano model, but the cited material does not provide a matching GPU-core or Neural Engine specification. |
| Process information | Apple says it uses second-generation 3-nanometer technology. | Not stated in the cited Google specifications. |
| Benchmark figures available here | No matched A18 Pro benchmark result is established in the cited material. | Tom’s Guide reports Pixel 11 review averages of 2,664 in Geekbench 6 single-core, 7,347 in Geekbench 6 multi-core, and 84.28 fps in 3DMark Wild Life Unlimited. |
Apple’s specifications and performance statements come from its September 2024 launch announcement. Google identifies the Pixel 11 processor in its August 2026 Pixel 11 announcement and its Pixel phone specifications. The reported Tensor core arrangement is from Android Authority, not Google’s official specification sheet.
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What the A18 Pro specifications and claims mean
Apple introduced A18 Pro with iPhone 16 Pro and iPhone 16 Pro Max on September 9, 2024. Apple lists a 6-core CPU, a 6-core GPU, a 16-core Neural Engine, and second-generation 3-nanometer technology. These are the manufacturer’s published details; they are not a complete independent account of the chip’s implementation.
Apple’s performance figures compare A18 Pro with the previous generation, not Tensor G6. Apple says A18 Pro can run the same CPU workload 15 percent faster while using 20 percent less power than its predecessor. It also claims the GPU is up to 20 percent faster and hardware-accelerated ray tracing up to 2x faster than the previous generation. Those are Apple’s stated generational comparisons, not results from a common test against Google’s chip.
#1 Best Overall
- Powered by a high-performance ESP32-S3R8 Xtensa 32-bit LX7 dual-core processor, boasting a maximum main frequency of 240MHz for smooth multitasking.
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What is known about Tensor G6
Google announced Tensor G6 for Pixel 11 devices on August 12, 2026, calling it its fastest and most powerful chip and saying it runs the latest Gemini Nano model. Google’s cited phone specifications identify the processor for Pixel 11 models and Titan M3 in the platform’s security architecture. The support pages describe complete phones, whose features can vary by model and market; not every listed phone capability should be attributed to the processor alone.
For CPU architecture, Android Authority reports one Arm C1-Ultra core running at 4.11 GHz, four Arm C1-Pro cores at 3.38 GHz, and two Arm C1-Pro cores at 2.65 GHz. That report characterizes the results as mixed. Google’s promotional description is not an independent performance finding, and the available official specifications do not fill in all the CPU and GPU details needed for a silicon-level comparison.
Rank #2
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What the Pixel 11 benchmark scores tell you
Tom’s Guide reports Pixel 11 review averages of 2,664 in Geekbench 6 single-core and 7,347 in Geekbench 6 multi-core. The same review reports 84.28 frames per second in 3DMark Wild Life Unlimited and says Tensor G6 trails the rivals tested in that review. These are Tom’s Guide’s measurements and assessment of a finished Pixel 11, not an A18 Pro-versus-Tensor G6 test.
A phone benchmark reflects more than its processor: memory, cooling, firmware, software state, and the test procedure can affect results. The Pixel 11 figures therefore describe that reviewed handset under the review’s tests. They cannot be set beside an unmatched score from a different phone or test setup to declare a chip winner.
Rank #3
- 1inch Capacitive Touch LCD Development Board, -S3 480×480 Round Display, WiFi Bluetooth 5.0, 262K Color Touch Screen for IDE Projects
- HIGH PERFORMANCE PROCESSOR: Equipped with Xtensa 32-bit LX7 dual-core processor running up to 240MHz, this -S3 development board delivers powerful computing capabilities for complex touchscreen applications and IoT projects.
- WIRELESS CONNECTIVITY: Supports 2.4GHz WiFi (802.11 b/g/n) and Bluetooth 5 (LE) for seamless wireless communication, ensuring strong and stable connection with smartphones, computers, and other smart devices.
- VIVID TOUCHSCREEN DISPLAY: Features a 2.1-inch capacitive touch LCD with 480x480 resolution and 262K colors, providing an immersive and responsive user interface with exceptional visual clarity.
- INTEGRATED SENSORS: Includes QMI8658 sensor, PCF85063 RTC clock, card slot (up to 16GB, not included), and battery charging module, allowing for expanded functionality in portable and motion-sensing projects.
How to compare them fairly
A useful comparison needs matched conditions and separate results for different kinds of work. Look for the device, benchmark version, software state, and test conditions alongside every score.
- CPU: Compare single-core and multi-core results separately using the same benchmark version and workload.
- GPU: Use the same graphics test and settings; distinguish measured frame rates from manufacturer claims about generational gains or ray tracing.
- Sustained performance: Check how throughput or frame rate changes over time, along with temperature and the test phone’s cooling behavior.
- Efficiency: Compare energy consumed during a defined task. A process-node label alone does not establish which chip uses less energy in practice.
- AI: Match the model and task, and distinguish on-device processing from cloud execution. Latency and output quality matter as well as whether a feature is available.
- Phone context: Record the exact handset, memory configuration, software, and regional variant. Peak chip scores alone do not establish camera quality, battery life, or everyday responsiveness.
Which chip is faster?
The available figures do not settle that question. Apple’s A18 Pro numbers are manufacturer claims against its previous generation, while the Tensor G6 scores are review measurements on a Pixel 11. Without a common A18 Pro and Tensor G6 test under comparable conditions, a definitive ranking would overstate what the evidence shows.
Rank #4
- Flexible in Use: Can also be used for memory card testing, front and rear recorder detection, which requires a switch.
- Smart Testing: The universal testing board for smartphones is designed specifically for mobile maintenance testing and is also used for testing second hand mobile phone.
- High in Safety: The overall maintenance and inspection can be detected without disassembling the machine, and the is very .
- For Maintenance: Can be used to test the voltage and of the phone holder and is a necessary tool for professional repair technicians.
- Applicable : The universal test board for testing smartphone is suitable for Android , as well as as well as the SIM card series for
For readers choosing between the associated phones, these chip details are useful context, not a substitute for comparing the specific handset features and test results that matter to them.
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Best Value
- You may need the CP2102 driver available from the Silabs website. It is free and easy to install.
- This board features the ESP8266 ESP-12F but has all of its pins broken out. This enables the ESP8266 to be breadboard compatible. It also has an integrated micro-usb port which makes powering and programming the chip far easier compared to having to use a usb-to-serial adapter.
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- Flashing this device is easy. To flash, just hold the flash button and perform the flash using firmware programming software.
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