What real data? Do you have reviews of Ampere's consumer lineup on 7nm TSMC?But there Is real data and it says you are wrong every time. Sources were provided, did you even get into them or? Do you read reviews? We know how efficient the arch and the node is, the products are out... We know Ampere has more efficient RT, but less efficient raster. We know the end FPS, bandwidth/memory/power usage, we know die size and we know the architectural improvements. If you still didn't figure it out by now, you never will. Your opinion is irrelevant, the facts are there. Its like a graph with lots of dots, you just need to connect them with straight lines and you've got your comparison well laid out.
Sources like? Do you read reviews, actual reviews?
No we only know how efficient the node is for the products that are out, we have "0" data on how (much more or less) efficient it is for the same chip on SS' 8nm.
Yeah I'm not in the business of extrapolating such complex data to form a conclusion based on sometimes vast uarch differences, heck the differences between chips on the same node can vary greatly!
Graphs with what exactly? TSMC could be 5% more efficient for Ampere or 35% ~ what you & many others are doing is complete BS! Let's check the last real world data we had for the same chip on similar nodes ~
Conclusion
Based on the results of our testing, it's clear that both versions of Apple's A9 SoC deliver the same level of performance, but Samsung's 14nm FinFET process appears to offer slightly better power efficiency, extending battery life between 3.5-10.8 percent. This is a little more than the 2-3 percent quoted by Apple, but not much, and it equates to only about 5-15 minutes of runtime under the most extreme conditions.
iPhone 6s: Samsung And TSMC A9 SoCs Tested
The A9 SoC inside the iPhone 6s comes from two different vendors (Samsung and TSMC) using two different FinFET processes (14nm and 16nm, respectively). We test both versions to see if there's any power or performance differences.
www.tomshardware.com
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