1/29/2024 0 Comments Geek clock explained![]() in fact, it might be the least price to performance phone, because you can't utilize half the performance of the processor, and so end up being worse than even mid-end android phones with better displays and cameras, that can use better GPU, ISP, MODEM, etc.īut we have SD 870 phones with 120HZ AMOLED display, stereo speakers, and a large battery that you can play AAA games for more than 4 HR in a row, which can game even the largest game in 1080P, ALL for under 300 dollars (290 maybe.)ĪND SERIOUSLY FROM WHERE DO YOU GET THAT 8+GEN1 (NOT EVEN 8GEN 2) and A14 ARE ON THE SAME LEVEL?įrom geek bench? then IOS might be a optimized OS, maybe the worst of all the major operating systems, that even though it cannot even process things in the background, even though it doesn't have an interactive widget, after finally inventing widget after 9 years, and lacking any customization that android is capable of doing, an iPhone 14 pro max is just marginally faster than a foldable phone with 8 gen 1 in a mixed speed test involving a variety of APPs and Games? If you are given an a16 chip on a potato for 300 dollars, it is not better than an iPhone 13 with A16. So from the above examples, we can conclude that the time of execution increases with the type of operations we make using the inputs.Dinervc, Price to performance does not work like that. ![]() In conclusion, the time complexity of the program is O(nm), and the auxiliary space complexity is also O(nm). Therefore, the auxiliary space complexity of the program is O(nm + 1), which simplifies to O(n*m). The program also uses a single integer variable to store the sum of the elements. The space required for the 2D array is nm integers. The program uses a fixed amount of auxiliary space to store the 2D array and a few integer variables. ![]() Therefore, the time complexity of the program is O(n*m). The outer loop iterates n times and the inner loop iterates m times for each iteration of the outer loop. The program iterates through all the elements in the 2D array using two nested loops.
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