- #Run linpack benchmark mac how to#
- #Run linpack benchmark mac 64 Bit#
- #Run linpack benchmark mac professional#
I don't think many realized that in the first place, that they think "If we just make it thicker, it will be no problem" - they did not realize how much "thicker" it needs to be to achieve that performance! And if you do get a little thicker (or you can go all the way to Unibody), sure it will be better, but still throttles significantly, in the end you're not solving problem with it. Well, if you want to bring an i9 to maximum performance, you got to have the size of a gaming laptop to begin with. He doesn’t at mention other suppliers, you are speculating that he trusts them. He simply notes that he may not be able to trust Apple anymore. It’s the old, “every else does it.” We pay much more for Apple produxets, I’d we wanted what everyone else is doing, we could buy it for much less. So we are saying Apple is of the same quality as the other suppliers? You justify a fault by deflecting.
#Run linpack benchmark mac how to#
Meanwhile your "trustworthy suppliers" still throttles like hell, but I'm sure you know how to keep i9 throttle-free. "I can only have serious doubts that Apple can still be a trustworthy laptop supplier." The post I was replying to notes that the processor should be able to handle sustained base frequency loads. Maybe it is you that should read his post again. Try find someone who can sustained the max turbo boost speed that’s not a gaming laptop.
#Run linpack benchmark mac professional#
focusing on thinness, which is, for professional laptop users, not that important. Сообщение отредактировал coldfire - 13.07.Apple would better invest more time in building the best qualitative laptop available iso. The relative machine precision usually the smallest positive number such that fl( 1.0 - eps ) < 1.0, where fl denotes the computed value and eps is the relative machine precision. If this quantity is much larger than 1, the solution is probably incorrect. The Norm Res should be about O(1) in size. The test is based on || Ax - b || / ( || A || || x || eps) where eps is described below. The time in seconds to solve the problem, Ax=b.Ī check is made to show that the computed solution is correct. For this problem there are 2/3 n^3 + n^2 floating point operations.
#Run linpack benchmark mac 64 Bit#
A floating point operation here is a floating point addition or a floating point multiplication with 64 bit operands. Millions of floating point operations per second. The result is reported in millions of floating point operations per second (MFLOP/s, sometimes simply called FLOPS). The solution is obtained by Gaussian elimination with partial pivoting, with 2/3 Introduced by Jack Dongarra, they measure how fast a computer solves a dense N by N system of linear equations Ax = b, which is a common task in engineering. The LINPACK Benchmarks are a measure of a system's floating point computing power.