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A15 Bionic vs Tensor G6: How to Compare Specs and Benchmarks

Apple publishes A15 CPU, GPU and Neural Engine details, while Google links Tensor G6 to Pixel 11 and Gemini Nano. A Pixel 11 Geekbench result is not a matched A15 comparison.
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There is not enough matched benchmark evidence to declare Apple’s A15 Bionic or Google’s Tensor G6 the overall performance winner. Apple publishes A15 CPU, GPU and Neural Engine details; Google identifies Tensor G6 as the chip in Pixel 11 phones and says it powers the newest Gemini Nano model. A Pixel 11 review reports Geekbench 6 scores, but without an A15 result from the same test setup, those figures are not a head-to-head comparison.

What the published specifications show

The available official information is uneven: Apple provides several A15 configuration details, while Google’s Tensor overview confirms G6’s Pixel 11 and Gemini Nano role but does not give a full chip specification table.

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Detail Apple A15 Bionic Google Tensor G6
Devices identified by the cited source Apple lists A15 in iPhone 13-family models. Apple iPhone comparison Google identifies Tensor G6 as the chip in Pixel 11 phones. Google Tensor overview
CPU 6-core CPU. Apple iPhone comparison Full CPU configuration and clock speeds not stated in the cited official source. Google Tensor overview
GPU Four or five cores depending on the A15-equipped device; Apple Developer describes up to five shader cores. Apple iPhone comparison; Apple Developer presentation GPU architecture and core count not stated in the cited official source. Google Tensor overview
On-device AI information Apple reports a 16-core Neural Engine; on iPhone 13 Pro, Apple reported 15.8 teraflops of peak throughput. Apple Machine Learning Research Google says G6 powers the newest Gemini Nano model. Google Tensor overview
Benchmark result available here No matched A15 score established. Pixel 11 Geekbench 6 averages reported by Tom’s Guide: 2,664 single-core and 7,347 multi-core. Tom’s Guide Pixel 11 review

How to interpret A15’s CPU and GPU details

CPU configuration

Apple lists A15 with a 6-core CPU. That core count describes the chip configuration; by itself, it does not establish how A15 performs against Tensor G6 in a benchmark or in a particular phone.

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GPU configuration

A15 GPU core count depends on the device: Apple’s comparison material lists four-core and five-core versions. In an Apple Developer presentation, Dave Roberts of Apple’s GPU Software team said the fifth shader core provides a 25% performance boost at the same GPU core frequency. This is Apple’s stated comparison of A15 GPU configurations, not a performance comparison with Tensor G6.

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What the Tensor G6 information does—and does not—establish

Google says Tensor G6 powers Pixel 11 phones and the newest Gemini Nano model, describing Tensor as a system-on-chip designed for machine-learning and generative-AI work on Pixel devices. The cited official overview does not state G6’s CPU layout, clock speeds, GPU architecture, manufacturing process or a standardized benchmark score. Those specifications should not be treated as confirmed from this source.

Google’s statement identifies an intended on-device AI capability, while Apple’s 15.8-teraflop figure is a vendor-reported peak for the 16-core Neural Engine in iPhone 13 Pro. These are different kinds of evidence: neither establishes which chip completes a shared AI task faster or more efficiently.

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Tensor G6 benchmark results: what the Pixel 11 score means

Tom’s Guide reports average Geekbench 6 results of 2,664 for single-core and 7,347 for multi-core on Pixel 11 with Tensor G6. These are review results for a complete phone, not a silicon-only measurement. They provide a device-level data point, but without an A15-equipped phone tested under the same benchmark version, software conditions and protocol, they cannot establish a direct ranking.

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Do not subtract or calculate a percentage difference against A15 scores from another device or review: differences in hardware, operating system, software build, cooling and test procedure can affect results. A useful head-to-head dataset would identify the exact phones, benchmark version, software/build, score type, whether results are averages or single runs, and test date. CPU, graphics, AI and sustained-load measurements should remain separate rather than being collapsed into one score.

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Which chip is faster overall?

The available evidence does not support an overall winner. Apple’s published A15 specifications and GPU statement do not provide a matched test against Tensor G6, and the reported Pixel 11 Geekbench averages have no comparable A15 result in the cited review evidence. Nor is there a verified matched comparison of sustained performance, thermals or battery efficiency. The defensible conclusion is limited to what each source establishes: A15 has documented CPU/GPU/Neural Engine configurations, while Google positions G6 around Pixel 11 and its newest Gemini Nano model.

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What this means when choosing a phone

A chip comparison alone cannot determine which phone is the better purchase. A15 appears in iPhone 13-family devices, while Google names Pixel 11 as a Tensor G6 phone; consider the handset’s features and your own priorities alongside the chip. The specifications and separate benchmark datapoint here do not establish a complete phone-to-phone verdict.

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