Comparing Google's Tensor G4 And Apple's A17 Pro: Which Chipset Reigns Supreme?

Google is putting a lot of effort into wooing iPhone users. The new Pixel 9 series looks very similar to recently launched iPhones. That said, Pixels and iPhones run distinct operating systems and are powered by different chipsets. So today, we compare their chipsets — Tensor G4 on the Pixel 9 Pro and A17 Pro on the iPhone 15 Pro — across several benchmarks, like AnTuTu, Geekbench, 3DMark, and more, to find out which one is more capable.

Tensor G4 vs A17 Pro: Specs Comparison

When comparing the specifications of the Tensor G4 and A17 Pro, it becomes clear that both chipsets are designed for high performance but cater to different strengths. The Tensor G4 features an eight-core CPU configuration, while the A17 Pro utilizes a six-core setup that focuses on efficiency and speed.

The manufacturing processes are also noteworthy: the Tensor G4 is built on Samsung's 4nm technology, whereas the A17 Pro benefits from TSMC's advanced 3nm process. This difference can impact performance and power consumption significantly, with the smaller node typically allowing for better efficiency and higher performance.

Performance Benchmarking: Geekbench 6 CPU Results

Performance benchmarks provide a tangible way to compare chipsets, and in this regard, the A17 Pro clearly outperforms the Tensor G4. In a single-core test, the Tensor G4 scored 1,897, while the A17 Pro achieved 2,897, marking a significant difference of 34%. Furthermore, in multi-core performance, the A17 Pro surpassed the Tensor G4 by a staggering 49%, scoring 7,261 compared to Tensor's 3,721.

These results highlight the A17 Pro's ability to leverage fewer cores for superior performance, which could be due to its architectural advantages and optimized design for high-demand tasks. This efficiency is crucial for applications requiring fast processing, such as gaming and video editing.

Graphics Performance: AnTuTu Benchmark

Graphics capabilities are essential for modern smartphones, particularly for activities like gaming and media consumption. In the AnTuTu benchmark, the Tensor G4 posted a score of 1,253,407, while the A17 Pro scored significantly higher at 1,628,672. This difference of 23% showcases the A17 Pro's superior graphical performance.

Moreover, looking at the GPU scores specifically, the A17 Pro outperformed the Mali-G715 GPU of the Tensor G4 by 26%. This indicates that Apple's GPU technology is not only efficient but also powerful enough to handle demanding graphics tasks with ease.

Real-World Graphics Stress Test: 3DMark Wild Life Extreme

In the rigorous 3DMark Wild Life Extreme stress test, the Tensor G4 again fell short compared to the A17 Pro. The best loop score for the Tensor G4 was 2,590, while the A17 Pro achieved an impressive 4,110. This substantial performance gap underscores the A17 Pro's capability in sustaining higher graphics performance over extended periods.

The stability of the GPUs during the test is also important. The A17 Pro maintained a stability of 68.6%, while the Tensor G4 struggled with a stability of just 58.9%. This could impact user experience during demanding tasks, leading to potential slowdowns or performance drops for the Tensor G4.

AI Performance Comparison: Geekbench AI Benchmark

Artificial intelligence capabilities are becoming increasingly vital for mobile devices. In the Geekbench AI benchmarks, the A17 Pro's 16-core Neural Engine outperformed the Tensor G4's TPU by a large margin, achieving scores up to 10 times higher in various tests. This highlights Apple's focus on integrating advanced AI processing capabilities into their chipsets.

These results are critical for users who rely on AI functionalities, such as image recognition or voice processing, as they reflect the overall efficiency and effectiveness of the AI engines embedded within the chipsets.

5G Connectivity Performance: Speed Test Results

5G connectivity is another crucial area where the two chipsets differ significantly. The A17 Pro, equipped with Qualcomm's Snapdragon X70 modem, achieved peak download speeds of 468 Mbps and upload speeds of 20.1 Mbps. This superior connectivity allows for faster internet access and better overall performance in real-world scenarios.

In contrast, the Tensor G4's Samsung Exynos 5400 modem managed a peak download speed of 174.8 Mbps and an upload speed of 35.1 Mbps. This performance gap indicates that for users who prioritize mobile data connectivity, the A17 Pro provides a more robust solution.

Final Insights: Evaluating the Tensor G4 and A17 Pro

In conclusion, the comparison between the Tensor G4 and A17 Pro reveals a clear winner in terms of performance and capabilities. The A17 Pro not only excels in CPU and GPU benchmarks but also showcases superior AI processing and 5G connectivity. For users seeking high performance in their mobile devices, the A17