Nowadays, imo, there is no reason to use time
for benchmarking purposes. Use perf stat
instead. It gives you much more useful information and can repeat the benchmarking process any given number of time and do statistics on the results, i.e. calculate variance and mean value. This is much more reliable and just as simple to use as time
:
perf stat -r 10 -d <your app and arguments>
The -r 10
will run your app 10 times and do statistics over it. -d
outputs some more data, such as cache misses.
So while time
might be reliable enough for long-running applications, it definitely is not as reliable as perf stat
. Use that instead.
Addendum: If you really want to keep using time
, at least don't use the bash-builtin command, but the real-deal in verbose mode:
/usr/bin/time -v <some command with arguments>
The output is then e.g.:
Command being timed: "ls"
User time (seconds): 0.00
System time (seconds): 0.00
Percent of CPU this job got: 0%
Elapsed (wall clock) time (h:mm:ss or m:ss): 0:00.00
Average shared text size (kbytes): 0
Average unshared data size (kbytes): 0
Average stack size (kbytes): 0
Average total size (kbytes): 0
Maximum resident set size (kbytes): 1968
Average resident set size (kbytes): 0
Major (requiring I/O) page faults: 0
Minor (reclaiming a frame) page faults: 93
Voluntary context switches: 1
Involuntary context switches: 2
Swaps: 0
File system inputs: 8
File system outputs: 0
Socket messages sent: 0
Socket messages received: 0
Signals delivered: 0
Page size (bytes): 4096
Exit status: 0
Especially note how this is capable of measuring the peak RSS, which is often enough if you want to compare the effect of a patch on the peak memory consumption. I.e. use that value to compare before/after and if there is a significant decrease in the RSS peak, then you did something right.