3 ms·
I'm on a 7200u (i5, 15W) and I could really use the extra oomph (rounding things, it'd be 40% extra performance assuming a cubed increase in power consumption v
by dr_zoidberg 7y ago
I'm on a 7200u (i5, 15W) and I could really use the extra oomph (rounding things, it'd be 40% extra performance assuming a cubed increase in power consumption vs performance improvement -- which is pretty close to what I've seen in practice) of it being 45W.
Been looking at the newer gaming notebooks, and I'm waiting the "real world confrontation" of 10th generation i7s (specially those that have AVX512) vs Renoir (lots of cores, AVX2 on a single instruction and (not as much as desktop) lots of cache), since I run some numeric heavy code and it's not quite clear how they'll stand up to each other.
Why do I run this on a notebook and not a desktop? Because I'm always on the move, and I can pack the notebook and go anywhere I have to and be able to work with or without internet connection (which is sometimes the case).
- lliamander 7y agoYou might be interested in the ThinkPad P1 (Gen 2). It has the option of not including a dedicated GPU, which will save a considerable amount on battery power, while still packing in a 6-core i7 H-series processor. But I am also interested in the upcoming processor generations.
- dr_zoidberg 7y agoThanks for the suggestion. I was willing to wait a bit more to see that standoff: What will get me more bang out of the processor, the "super" architecture of Zen 2, or the coveted AVX512? The P1 comes with a 9th gen i7, I assume they'd eventually get a gen 3 with 10th gen i7 and then I'll be able to compare.
- lliamander 7y ago> What will get me more bang out of the processor, the "super" architecture of Zen 2, or the coveted AVX512? Bychance, have you seen the article from puget systems on how to use MKL with Ryzen[1]? It explores some of the different trade-offs between AMD and Intel for numeric computing. [1] https://www.pugetsystems.com/labs/hpc/How-To-Use-MKL-with-AMD-Ryzen-and-Threadripper-CPU-s-Effectively-for-Python-Numpy-And-Other-Applications-1637/ https://www.pugetsystems.com/labs/hpc/How-To-Use-MKL-with-AM...
- dr_zoidberg 7y agoYeah, I'd seen that, great link! Waiting to see something like that with the mobile processors.