# Linpack

> Utilities

Canonical page: [https://chrome-stats.com/d/id380883195](https://chrome-stats.com/d/id380883195)

## Overview

- **ID:** `id380883195`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Alexey Solovyov
- **Category:** Utilities
- **Rating:** 5.00 / 5 (5 ratings)
- **Version:** 1.5.1
- **Last updated:** 2017-09-15
- **First published:** 2010-07-12
- **Size:** 6.00 MB
- **Data as of:** 2026-09-03
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/linpack/id380883195)

## Description

Linpack Benchmark

The LINPACK Benchmarks are a measure of a system's floating point computing power. 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 solution is obtained by Gaussian elimination with partial pivoting, with 2/3·N3 + 2·N2 floating point operations. The result is reported in millions of floating point operations per second (MFLOP/s, sometimes simply called FLOPS).

Results.

Mflop/s:
Millions of floating point operations per second. A floating point operation here is a floating point addition or a floating point multiplication with 64 bit operands. For this problem there are 2/3 n^3 + n^2 floating point operations.

Time:
The time in seconds to solve the problem, Ax=b.
Norm Res:
A check is made to show that the computed solution is correct. The test is based on || Ax - b || / ( || A || || x || eps) where eps is described below. The Norm Res should be about O(1) in size. If this quantity is much larger than 1, the solution is probably incorrect.

Precision:
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.

## Rankings

- #435,136 — Overall
- #65 — machine learning algorithms

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Source: [Chrome-Stats](https://chrome-stats.com/d/id380883195)