“Is this laptop is best for college students, and an software engineer can use it ,as well as is this laptop is helpful for studying in data science and cyber security / in All IT sector and or can I go for R9 Hs series processor ,”
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You mention R9 HS so I’ll respond from the perspective of a software engineer/data scientist/AI engineer - I like this Asus laptop a lot for basic browsing, YouTube playing, MS Office (in fact, as I write this, it’ on a sale discount and I’m considering buying one for home. Also, if you want an Intel Core Ultra (Meteor Lake gen) laptop then this Core Ultra 7 155H CPU is the one I recommend (since the fastest Core Ultra 185H costs about $200 more just for the CPU part of the price and is only 20% faster). And this model with the Ultra 7 155H will certainly get you through Fresh/Soph years of IT or Computer Science classes. But if I were buying a laptop for full-blown data science/software engineering and wanted it to last 4 years, I’d prefer a laptop with a R9 7940HS or 8940HS or 8945HS 8-core CPU. Asus makes lots of models containing these. They are not only 25% faster in terms of Computing Power (that is, how much can you compute with all 8 cores running at once), but also all 8 cores are fast Performance cores that are hyperthreaded as well, giving you 16 runnable threads. This also means you don’t have to deal with the much slower Efficiency cores of Intel. Do not be fooled by the marketing trick that Intel plays on us all with the Core Ultra Meteor Lake CPUs. In order to get longer battery life (admirable - so far anyway) they intentionally put a bug into the process scheduler (I call it a bug anyway) such that you first have to use up all 2 of your Very Low Power Very Low Frequency (in othet words pretty much useless) Efficiency cores, and then you have to use up all 8 of your regular (low frequency but not very low) Efficiency cores, before it will let you us any of your Performance cores at all. This means you have to simultaneously run one or more programs containing 11 threads before it will finally let you run that 11th thread on one of your 6 Performance cores. And even then the rest of your P cores sit idle until you get to 12 to 22 threads running at once. But except for some games, it is rare that programs are written so parallel that they run in 10 or more threads. Thus, if you’re only running one program at a time and it’s not a game, you are almost never ever using the fastest 6 Performance cores that you bought and paid for (another reason not to get the Ultra 9 185H CPU). Because of this deliberate Scheduler bug, you are paying for but almost never using the 6 Performance cores, and your response time is proportionally slower by having been forced to use the Efficiency cores instead. However that saves a lot of electric juice so you get longer battery life. For most people running undemanding applications, that’s a pretty good tradeoff (yet they can still run a demanding game once in a while. But it’s a bad deal for a computer science/data science student - because you’re forcibly having to pay the penalty of almost everyhing running twice as slow, so that all your friends with the same Meteor Lake laptop can have 2x the battery life. Oh by the way, the latter was your first Computrr Science lesson.
Sorry, there was a problem. Please try again later.Unless you need the touchscreen, I would purchase this https://www.hp.com/us-en/shop/pdp/hp-pavilion-plus-laptop-14z-ey100-91a84av-1. $40 cheaper with 32GB of RAM that will help if you need to build something natively or run VMs. If you are doing any work with AI, I believe the Intel Core Ultra 7 with the same specs can be built for $30 more. I work in IT and do a lot of multi-tasking and 16GB just doesn't cut it for me.
Sorry, there was a problem. Please try again later.It is very good, I am a graphic designer and connectivity is the best combination for a day of hard work
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