THE VIDEO SHELF · smartphone cpu power efficiency
The Smartphone CPU Review You NEED to Watch!
Geekerwan reviews smartphone CPUs by power efficiency rather than benchmark scores, with test methodology and chapters on Qualcomm, Apple, Samsung and Google chips. It explains why high benchmark scores can coexist with heat and poor battery life.
Why HN readers recommended it
HN people cite it as detailed data on mobile SoC efficiency, sustained performance and ARM core efficiency curves.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Geekerwan
- Topic
- smartphone cpu power efficiency
- Format
- explainer
- Level
- intermediate
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 8
- Recommendation years in dataset
- 2022–2023
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
This doesn't really showcase how much Apple's chips are as much as how far Qualcom has fallen behind. On the other hand, the results also show how much work Apple will need to put into their GPUs, as the clearly inferior chip is still beating …
jeroenhd on Hacker News · 2023-02
In Apple’s 2½ year old iPhone 12 is 6% faster than the new Samsung Galaxy S23 UltraNo, but there is evidence that Geekbench doesn't do a good job of measuring sustained performance. This video from Geekerwan takes more of a sustained performance / thermal throttling perspective. [VIDEO]
GeekyBear on Hacker News · 2023-02
In Apple’s 2½ year old iPhone 12 is 6% faster than the new Samsung Galaxy S23 UltraSomeone else posted a really compelling video where they test the power efficiency of Android and Apple phones. [VIDEO] Its really quite informative.
Yoofie on Hacker News · 2023-05
In ARM’s Cortex A53: Tiny but Important
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.