H.B. Fuller Eyes Advanced Medical Solutions in Potential £600M Takeover Deal 
Anthropic to Brief Financial Stability Board on AI-Driven Cyber Risks 
Samsung Union Confirms 18-Day Strike After Failed Wage Talks 
Nvidia Beats Earnings Expectations as AI Demand Drives Record Growth 
Japan Airlines Signs 10-Year Boeing 787 Maintenance Deal With GE Aerospace 
Anthropic Revenue Surge Signals Strong AI Market Momentum in 2026 
OpenAI Eyes IPO Filing as Early as This Week Amid Rising AI Competition 
Google Expands AI Partnership With Singapore Government 
SpaceX IPO Nears as Goldman Sachs Set to Lead Historic $75 Billion Offering 
Tencent Shares Jump 4% as AI Models Move Toward Paid Commercial Services 
SoftBank Shares Surge as OpenAI IPO Buzz and SB Energy Filing Boost AI Optimism 
OpenAI Expands Globally with First Overseas AI Lab in Singapore 
TrumpRx Expands Discount Drug Access With 600 Generic Medications 
NHS shakeup: if it sounds like we’ve been here before, it’s because we have 
Takeda Hit With $885M Verdict Over Amitiza Generic Drug Delay Scheme 
GameStop Raises eBay Stake to 6.6% as Ryan Cohen Pushes $56 Billion Takeover Bid 
Pentagon Expands AI Model Testing as It Seeks Alternatives to Anthropic’s Claude 
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.
