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Apple’s A16 Bionic leads the Snapdragon 8 Gen 1 in the cited Geekbench 6 CPU aggregates, both for single-core and multi-core results. That does not make every A16-equipped phone faster in every task: these figures come from database samples rather than a controlled test of matched handsets, and phone design, cooling, software, and workload affect real-world performance.
At a glance: how the chips differ
| Specification | Snapdragon 8 Gen 1 | Apple A16 Bionic |
|---|---|---|
| CPU | 64-bit Kryo CPU; Qualcomm lists speeds up to 3 GHz and says device speed depends on the OEM platform configuration. | Six cores in the iPhone 14 Pro: two performance cores and four efficiency cores. |
| GPU | Adreno GPU; Qualcomm does not specify a comparable core count on the cited product page. | Five-core GPU in the iPhone 14 Pro. |
| AI hardware | Hexagon processor and 7th Gen Qualcomm AI Engine. | 16-core Neural Engine. |
| Process and modem | Qualcomm lists a 4 nm process and integrated Snapdragon X65 5G modem-RF system. | The cited Apple specifications establish the A16 configuration in the iPhone 14 Pro but do not provide a directly comparable process or modem specification. |
These figures describe different platforms, not two interchangeable chips installed in otherwise identical phones. Qualcomm describes Snapdragon 8 Gen 1 as a mobile platform used in Android devices; Apple lists the A16 Bionic as part of the iPhone 14 Pro specification. For Qualcomm’s speed qualification and platform details, see Qualcomm’s Snapdragon 8 Gen 1 specifications. Apple’s device-level configuration appears in its iPhone 14 Pro technical specifications.
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Geekbench 6 results: A16 is ahead in these aggregates
NanoReview’s comparison page reports average Geekbench 6 scores of 1,662 single-core and 4,188 multi-core for Snapdragon 8 Gen 1, compared with 2,631 single-core and 6,602 multi-core for A16 Bionic. The page lists 54 Snapdragon CPU benchmark samples and 24 A16 samples. These are the averages shown by that source, not scores guaranteed for every phone. See the NanoReview comparison.
A separate listing shows different results. CPU-Monkey’s comparison, last updated August 5, 2026, reports Geekbench 6 single-core scores of 1,322 for Snapdragon 8 Gen 1 and 2,531 for A16 Bionic; the page shows 1,991 A16 entries. Its figures should not be combined with NanoReview’s averages: they come from a different comparison page and sample set. See CPU-Monkey’s comparison.
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What the CPU results do—and do not—show
Both cited Geekbench 6 comparisons put A16 Bionic ahead in single-core performance, and NanoReview also reports a higher A16 multi-core average. This supports a narrow conclusion about the reported CPU benchmark results. It does not establish how long a phone can sustain peak speed, how much battery it uses, or how it performs in a particular game or app.
Why AnTuTu is not a clean cross-platform verdict
NanoReview lists AnTuTu 11 averages of 1,294,871 for Snapdragon 8 Gen 1 and 1,626,008 for A16 Bionic, but cautions that “AnTuTu results from iOS and Android are not directly comparable!” Treat those figures as source-reported platform results, not as a definitive percentage advantage for one chip. The same comparison page provides the scores and its caveat.
Graphics and AI: specifications are not head-to-head tests
The spec labels establish that each platform has dedicated graphics and AI hardware, but they do not quantify relative performance. Qualcomm identifies an Adreno GPU and says its re-architected GPU is 25% more efficient and renders graphics 50% faster than its predecessor. Those are Qualcomm’s generational claims about Snapdragon 8 Gen 1, not measurements against A16 Bionic. Apple lists a five-core GPU for the iPhone 14 Pro, but the core count alone cannot be compared directly with Qualcomm’s GPU description.
Likewise, Qualcomm’s Hexagon processor and 7th Gen AI Engine and Apple’s 16-core Neural Engine use different architecture labels. The cited sources do not provide a directly comparable AI workload test, so neither label establishes which chip completes a given AI task faster.
Apple’s September 2022 launch announcement attributes nearly 17 trillion operations per second to the A16 Neural Engine and says the five-core GPU has 50 percent more memory bandwidth. The operations figure is Apple’s stated capability, and the bandwidth increase is relative to the prior-generation chip in Apple’s announcement—not to Snapdragon 8 Gen 1. See Apple’s iPhone 14 Pro launch announcement.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Which chip should you choose?
The chip name alone is not enough to choose between phones. A16 Bionic is the stronger result in the cited Geekbench 6 CPU aggregates, but the available benchmark figures do not establish a like-for-like comparison between a specific iPhone and a specific Snapdragon 8 Gen 1 handset. Qualcomm’s own product page advises readers to consult OEM specifications for a device’s CPU speed.
Quick Recap
- For a CPU benchmark comparison: A16 Bionic leads in the cited Geekbench 6 single-core results, and in NanoReview’s reported multi-core average.
- For a phone purchase: Compare the exact models, including cooling, software version, display, battery, price, and the tasks you care about.
- For gaming or sustained workloads: Look for tests of the specific handsets under comparable conditions. The chip specifications and aggregate CPU scores alone do not establish sustained graphics performance or thermal behavior.
How to read these comparisons responsibly
- Check the benchmark and version. Geekbench 6 and AnTuTu 11 are different tests; do not treat their scores as interchangeable.
- Keep each source’s figures together. NanoReview and CPU-Monkey report different Geekbench 6 values, so cite the source rather than averaging or blending their numbers.
- Look for the tested device and sample context. Aggregate results can reflect different phones and sample counts; they are not necessarily measurements from one matched device pair.
- Use handset tests for handset questions. Battery life, heat, and performance over time depend on implementation and conditions, not only on the processor name.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
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