미니 ICKnowledge, 피셜로보는 3대 파운드리 노드 비교

- Tr Density 비교

방법1. DR 정보가 확인 된 2020년 노드를 기반으로

각 파운드리 Tr Density 기준점 설정

방법2. 각 파운드리사의 피셜 및 ICKnowledge의 추정을 근거로 각 노드별 Density 상승을 설정

비교결과

- 성능 비교

방법1. 가정을 기반으로 TSMC 16nm와 삼성 14nm를 동등으로 판단

방법2. 가정을 기반으로 TSMC 7nm와 인텔 10SF를 동등으로 판단

방법2. 방법1과 방법2에서 동등으로 설정한 각사의 노드들을 기반으로 각 사의 피셜 및 가정을 기반으로 추측

가정

The Apple A9 process was run in both Samsung 14nm and TSMC 16nm and Tom’s hardware found the same performance for both versions, we have normalized performance at this node to 1 for both Samsung and TSMC.
From the 14/16nm node through 3nm we have used the companies announced performance improvements to plot relative performance. For 2nm we have used our own projections.
We don’t have any designs that ran on Intel processes and either Samsung or TSMC. However, AMD and Intel both make X86 microprocessors and AMD microprocessors on TSMC 7nm process have competed with Intel 10nm Superfin processors with similar performance and we have set Intel 10SF to the same performance as TSMC 7nm. This is not ideal and assumes that both companies have done an equally good job on design but is the best available comparison. We have then scaled all the other Intel nodes from the 10SF based on Intel’s announcements.
Once again, we have place IBM’s 2nm on this chart based on their 2nm announcement.

비교결과