Amazon Stock Dips Despite Record Earnings as AI Infrastructure Spending Surges 
Judge Dismisses Elon Musk’s Fraud Claims Against OpenAI, Trial to Proceed on Remaining Allegations 
China’s Ultra-Cheap EV Boom: Why Electric Cars Cost Far Less Than in the U.S. 
Google Secures Pentagon AI Deal for Classified Projects 
Robinhood Q1 Earnings Miss Expectations, Stock Drops After Hours 
U.S. Cybersecurity Pushes Faster Patch Deadlines Amid Rising AI-Driven Threats 
Lightelligence IPO Soars Over 400% in Hong Kong Debut Amid Rising AI Investment Demand 
Australia Targets Meta, Google, and TikTok With New News Payment Tax Proposal 
$16B Michigan Data Center Project Boosts U.S. AI Infrastructure Expansion 
DeepSeek Launches V4 AI Models with Enhanced Reasoning and 1M Token Context Window 
Air Liquide Q1 Revenue Misses Estimates Amid Currency and Energy Headwinds 
Samsung Reports Record Profit as AI Boom Drives Memory Chip Demand 
GameStop Eyes eBay Acquisition as Stock Prices Surge After Hours 
DeepSeek V4 Launch Signals China’s Growing AI Independence with Huawei Chips 
WuXi AppTec Stock Surges on Strong Q1 Earnings and CRDMO Demand Growth 
Advantest Stock Falls on Weak Outlook Despite Strong AI-Driven Results 
Apple's A18 Pro and A18 chips, featured in the iPhone 16 lineup, are remarkably similar except for a single core difference in the GPU. The use of chip binning is part of Apple's strategy to maintain performance standards across models while emphasizing key distinctions.
Apple's Chip Binning Strategy for the iPhone 16
The 16-series iPhones use TSMC's 3nm technology, which is the second generation.
So, to sum up, Apple is treating the cheaper models as flagships in this area, but to make the 'Pro' and 'non-Pro' versions stand out, the company used chip binning, which is standard procedure in the industry.
A18 and A18 Pro: One Core Difference
As per WCCFTECH, there is one notable distinction between the A18 and A18 Pro systems on a chip (SoC). This distinction becomes apparent when one peruses the technical specifications of the iPhone 16, iPhone 16 Plus, iPhone 16 Pro, and iPhone 16 Pro Max, with the goal of understanding the number of CPU and GPU cores that differentiate the two.
Both have a total of six CPU cores, two of which are optimized for performance and four for power efficiency. A recent benchmark leak suggests that Apple has probably maintained the same architecture, since the performance core's clock speed does not exceed 4.04GHz.
Apple’s 16-Core Neural Engine for AI Processing
The A18 and A18 Pro are identical in another respect: they also use the same 16-core Neural Engine, which is developed by Apple and used for generative AI and machine learning. A 6-core GPU powers the iPhone 16 Pro and iPhone 16 Pro Max, while a 5-core component is located inside the less expensive models; this is the part that differentiates the two systems on a chip.
It is probable that the A18 Pro was mass-produced with the help of chip binning; nevertheless, the exact magnitude of the performance disparity will have to wait until next year. It is becoming more difficult to manufacture a perfect chip with modern technology since manufacturing wafers is a complex process.
If this comes as a surprise to anyone, keep in mind that Apple has tried something similar before; all four models of the iPhone 13 series had the same A15 Bionic.
