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A18 vs A16 Bionic: Which Chip Leads Across Benchmarks?

A18-equipped iPhone 16 results lead the A16 Bionic iPhone 15 in the cited CPU and graphics benchmarks, but the scores are device-level snapshots, not a promise of equal gains in daily use or battery life.
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The A18 leads the A16 Bionic in the cited CPU and graphics benchmark results. Geekbench 7 device averages put the iPhone 16 ahead of the iPhone 15, and separate Geekbench 6 and AnTuTu comparisons show the same direction. These are results from phones, not controlled tests of isolated chips, so they establish a benchmark lead—not a guaranteed percentage improvement in everyday use, gaming, battery life, or sustained performance.

Which devices represent the A18 and A16 Bionic?

Apple lists the A18 in the iPhone 16 family. Geekbench’s current iOS chart includes the iPhone 16, iPhone 16 Plus, and iPhone 16e under A18. The same chart lists the iPhone 15 and iPhone 15 Plus under A16 Bionic. For the benchmark figures below, the most direct device comparison is iPhone 16 versus iPhone 15.

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Apple’s iPhone 16 technical specifications provide the official reference for an A18 host device. Apple also lists the A16-era iPhone 14 Pro technical specifications. Note that Geekbench’s chart identifies the 11th-generation iPad chip as “Apple A16”; that name should not be treated as proof that every A16-branded chip is the same product as the A16 Bionic.

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How the listed specifications compare

NanoReview’s comparison table lists both processors with a six-core CPU, a five-core GPU, and a 16-core Neural Engine. It lists theoretical Neural Engine performance of 35 TOPS for A18 and 17 TOPS for A16 Bionic. These specifications are attributed to NanoReview’s comparison rather than an Apple chip datasheet, so treat them as that publisher’s reported values.

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Specification Apple A18 Apple A16 Bionic
CPU cores 6, according to NanoReview 6, according to NanoReview
GPU cores 5, according to NanoReview 5, according to NanoReview
Neural Engine cores 16, according to NanoReview 16, according to NanoReview
Theoretical Neural Engine performance 35 TOPS, according to NanoReview 17 TOPS, according to NanoReview

Those core counts alone do not show how fast a phone will feel. The benchmark results below offer a way to compare measured CPU and graphics workloads, with the important limitation that they come from devices and test samples rather than a chip-only controlled comparison.

Geekbench 7: iPhone 16 vs iPhone 15 device averages

Geekbench’s iOS chart reports user-submitted Geekbench 7 results and includes a device only after at least five unique results. In the chart’s current snapshot, iPhone 16 (A18) scores 2,798 single-core and 7,585 multi-core; iPhone 15 (A16 Bionic) scores 2,252 and 5,967, respectively. Geekbench says higher scores are better and describes its calibrated scale as doubling when performance doubles. That does not mean a score difference predicts an equal improvement in every app or task.

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Device and chip Geekbench 7 single-core Geekbench 7 multi-core
iPhone 16 (A18) 2,798 7,585
iPhone 15 (A16 Bionic) 2,252 5,967

On this particular device-average comparison, the iPhone 16’s score is about 24% higher in single-core and 27% higher in multi-core than the iPhone 15’s. These percentages are calculated from the two Geekbench 7 averages above; they describe that benchmark comparison, not a universal speed increase.

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See the dynamic Geekbench iOS Benchmarks chart for its device-level results and methodology notes.

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Other benchmark snapshots also favor A18

NanoReview’s comparison aggregates Geekbench 6 and AnTuTu 11 results. Its sample counts differ between chips and test types, so these figures are useful as a second benchmark snapshot, not as a controlled head-to-head run under identical conditions.

Test and score A18 A16 Bionic Reported samples (A18 / A16)
Geekbench 6 single-core 3,431 2,631 6 / 24 CPU tests
Geekbench 6 multi-core 8,638 6,602 6 / 24 CPU tests
Geekbench 6 GPU Compute 28,010 22,851 4 / 12 GPU tests
AnTuTu 11 total 1,972,476 1,626,008 29 / 36 tests

In these NanoReview aggregates, A18 is higher in each listed result. The GPU Compute row is a compute benchmark score, not a direct measure of frame rates in a particular game. See NanoReview’s A18 vs A16 Bionic comparison for the comparison and its sample counts.

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A published iPhone test gives a device-level cross-check

GIGAZINE’s September 21, 2024 report measured an iPhone 16 and an iPhone 15. It records Geekbench 6 CPU scores of 3,213 single-core and 7,786 multi-core for the iPhone 16, versus 2,601 and 6,452 for the iPhone 15. Its Metal GPU scores are 27,974 for iPhone 16 and 22,968 for iPhone 15.

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These are individual device measurements from a published test, not a lab-controlled comparison of chip packages. They point in the same direction as the averages and aggregates above: the A18-equipped iPhone 16 scored higher in the reported CPU and Metal tests. Read the GIGAZINE benchmark report for its tested-device results.

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What the benchmark lead does—and does not—tell you

  • CPU: Single-core and multi-core results favor A18 in the cited Geekbench comparisons. They measure defined benchmark workloads, not every app’s responsiveness.
  • Graphics and compute: The cited GPU Compute and Metal results also favor A18. They do not establish a fixed gaming frame-rate advantage across games, settings, or play sessions.
  • Neural Engine: NanoReview lists higher theoretical TOPS for A18, but that specification alone does not quantify how much faster a particular on-device AI feature will run.
  • Battery and sustained performance: The cited sources do not establish an independent, controlled battery-life or sustained-thermal comparison between the two chips in comparable phones. Benchmark scores should not be converted into battery-life or long-session performance claims.

Which should you choose?

If you are choosing between an iPhone 16 with A18 and an iPhone 15 with A16 Bionic, the benchmark evidence favors the iPhone 16. Whether that difference justifies choosing one phone over the other depends on your priorities beyond the chip; these figures alone do not settle battery life, sustained gaming behavior, or overall device value. If you already own an A16 Bionic iPhone, the results show a newer chip scoring higher in benchmarks, but they do not demonstrate that ordinary tasks will feel a matching percentage faster.

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