IPhone, iPad, and iPod Benchmarks Welcome to the Geekbench iPhone, iPad, and iPod Benchmark Chart. The data on this chart is gathered from user-submitted results from the. Scores are calibrated against a baseline score of 4000 (which is the score of an Intel Core i7-6600U). Higher scores are better, with double the score indicating double the performance.

If you're curious how your iPhone, iPad, or iPod compares, you can and run it on your iOS device to find out its score. This chart was last updated about 16 hours ago.

Linpack Benchmark For Mac Pro

LINPACK Benchmark Version 2.0 Presented by University of Tennessee Knoxville and Innovative Computing Laboratory. Implementation: Piotr Luszczek This an optimized implementation of the LINPACK Benchmark. It is a yardstick of performance because it is widely used and performance numbers are available for almost all relevant systems. The LINPACK Benchmark was introduced by Jack Dongarra. A detailed description as well as a list of performance results on a wide variety of machines is available in PostScript(TM) form from Netlib: The test used in the LINPACK Benchmark is to solve a dense system of linear equations. The version of the benchmark for TOP500 allows the user to scale the size of the problem and to optimize the software in order to achieve the best performance for a given machine. This performance does not reflect the overall performance of a given system, as no single number ever can.

It does, however, reflect the performance of a dedicated system for solving a dense system of linear equations. Since the problem is very regular, the performance achieved is quite high, and the performance numbers give a good correction of peak performance. By measuring the actual performance for different problem sizes N, a user can get not only the maximal achieved performance Rmax for the problem size Nmax but also the problem size N1/2 where half of the performance Rmax is achieved. These numbers together with the theoretical peak performance Rpeak are the numbers given in the TOP500. In an attempt to obtain uniformity across all computers in performance reporting, the algorithm used in solving the system of equations in the benchmark procedure must conform to the standard operation count for LU factorization with partial pivoting. In particular, the operation count for the algorithm must be 2/3 N.N.N + O(N.N) floating point operations. This excludes the use of a fast matrix multiply algorithms like 'Strassian's Method'.

This is done to provide a comparable set of performance numbers across all computers. If in the future a more realistic metric finds widespread usage, so that numbers for all systems in question are available, we may convert to that performance measure.

Linpack Benchmark Download

Jim Glidewell, Does not work if started in landscape mode Given that this is a benchmarking app, I wouldn't expect or want a bunch of graphical frills. But if I start this app up when holding the iPad in landscape mode, the buttons are unusable. The history screen is a nice feature - it would be nice if the app was broadened to include the STREAM and/or HPC Challenge benchmarks as well. To give folks some historical perspective, it would be nice if the app included another page with a table of a sample of LINPACK ratings of desktop and supercomputer systems over the years.

Thanks for providing this app. Jim Glidewell, Does not work if started in landscape mode Given that this is a benchmarking app, I wouldn't expect or want a bunch of graphical frills. But if I start this app up when holding the iPad in landscape mode, the buttons are unusable.

Linpack Intel

The history screen is a nice feature - it would be nice if the app was broadened to include the STREAM and/or HPC Challenge benchmarks as well. To give folks some historical perspective, it would be nice if the app included another page with a table of a sample of LINPACK ratings of desktop and supercomputer systems over the years. Thanks for providing this app.