iOS 27's Rebuilt Siri AI Handles 125 Real-World Tasks in Independent Test
Journalist David Pogue ran 125 test prompts against the new Siri AI in iOS 27, finding it successfully handled cross-app queries, contextual follow-ups, and complex multi-step requests. Failures were limited to tasks requiring third-party app updates, such as Venmo payments.
Independent Testing Shows Broad Capability Gains in iOS 27's Siri AI
Apple's rebuilt Siri AI, shipped this week in iOS 27, passed nearly all of 125 real-world tasks in an independent test conducted by journalist David Pogue, according to a report from 9to5Mac. Pogue published his findings in a Substack post titled "125 Tests of the New AI Siri," documenting prompts ranging from simple reminders to complex, context-dependent queries.
What Was Tested
Pogue's list covers commands well beyond Siri's historical scope of timers, reminders, and music playback. Examples cited by 9to5Mac include:
- Cross-app task aggregation: Asking "What are people waiting on me for?" prompted Siri to generate a consolidated list pulled from Mail, Messages, and Reminders — surfacing an item Pogue said he had genuinely forgotten about.
- Contextual awareness without explicit details: Asking "What's the apartment number!?" while running late to a party returned the correct address ('The apartment number for the Bynum party tonight is 10-F') despite Pogue never specifying which party or date in his prompt.
- Bulk actions with confirmation: A request to "Delete all my alarms" triggered Siri to first confirm to delete 38 alarms in the Clock app before executing.
According to 9to5Mac, Siri AI succeeded at nearly every one of the 125 tests. The outlet reports that most failures — such as sending a Venmo payment — stemmed from third-party apps not yet updated for iOS 27 and Siri AI compatibility, rather than limitations in Siri itself.
Confirmed Facts vs. Claims
The 125-test count, specific prompt examples, and success rate are drawn from Pogue's published Substack post as relayed by 9to5Mac; Apple has not released its own benchmark or accuracy figures for Siri AI's task completion rate. No technical specifications — such as underlying model architecture, parameter count, or whether Siri AI runs on-device, in Apple's private cloud, or via a third-party model partnership — were disclosed in the source reporting.
9to5Mac's Ryan Christoffel noted that longtime iPhone users have historically limited their Siri usage to a narrow set of reliable tasks, such as reminders and messaging while driving, due to years of inconsistent performance on more complex requests.
What This Means
This is a product capability report, not a model release with disclosed weights, benchmarks, or pricing. The significance lies in the qualitative leap Pogue describes: Siri moving from single-intent commands to multi-app reasoning and implicit context resolution — capabilities that put it in closer competition with assistants like Google's Gemini and OpenAI's ChatGPT voice mode. The real test will be third-party app compatibility, since several of Pogue's noted failures depend on developers updating their apps for iOS 27's new Siri integration rather than on Siri's own reasoning ability. Apple has not published independent benchmarks, so claims of near-universal success rest on one journalist's manual testing rather than a standardized evaluation.
Related Articles
Apple brings Siri AI beta to Apple TV 4K 2nd and 3rd generation, alongside new $299 A19 model
Apple says Siri AI will be available as a beta on Apple TV 4K (2nd generation or later) through a forthcoming tvOS update. The company also introduced a fourth-generation Apple TV 4K with an A19 chip and a $299 starting price.
Google builds Antigravity into Gemini app for macOS, limited to AI Ultra subscribers
Google has integrated Antigravity, its agent-first development platform, directly into the Gemini app for macOS as part of the Gemini 4 Argon rollout. Access requires an AI Ultra subscription, while the new model itself requires AI Pro or above. The update also renames and reorganizes several app features, including Gemini Spark, Skills and Connectors.
Google DeepMind: Gemini 4 Argon scores 87% on ERQA embodied reasoning, targets full robotics stack
Google DeepMind says Gemini 4 Argon scores 87% on the Embodied Reasoning (ERQA) benchmark using pure reasoning, ahead of every other frontier model. A new robotics post demonstrates robot control, Real2Sim reconstruction, physical understanding, and self-improvement workflows. Pricing, context window, and availability were not disclosed.
Gemini 4 Argon expands to Google AI Pro subscribers; API priced at $2/$10 per 1M tokens
Google is extending Gemini 4 Argon from AI Ultra to AI Pro subscribers in the Gemini app and AI Mode. The Gemini API costs $2 per 1M input tokens and $10 per 1M output tokens until November 30, 2026, then doubles to $4 and $20.
Comments
Loading...