6 perf-stat - Run a command and gather performance counter statistics
11 'perf stat' [-e <EVENT> | --event=EVENT] [-a] <command>
12 'perf stat' [-e <EVENT> | --event=EVENT] [-a] -- <command> [<options>]
13 'perf stat' [-e <EVENT> | --event=EVENT] [-a] record [-o file] -- <command> [<options>]
14 'perf stat' report [-i file]
18 This command runs a command and gathers performance counter statistics
25 Any command you can specify in a shell.
35 Select the PMU event. Selection can be:
37 - a symbolic event name (use 'perf list' to list all events)
39 - a raw PMU event (eventsel+umask) in the form of rNNN where NNN is a
40 hexadecimal event descriptor.
42 - a symbolically formed event like 'pmu/param1=0x3,param2/' where
43 param1 and param2 are defined as formats for the PMU in
44 /sys/bus/event_source/devices/<pmu>/format/*
46 'percore' is a event qualifier that sums up the event counts for both
47 hardware threads in a core. For example:
48 perf stat -A -a -e cpu/event,percore=1/,otherevent ...
50 - a symbolically formed event like 'pmu/config=M,config1=N,config2=K/'
51 where M, N, K are numbers (in decimal, hex, octal format).
52 Acceptable values for each of 'config', 'config1' and 'config2'
53 parameters are defined by corresponding entries in
54 /sys/bus/event_source/devices/<pmu>/format/*
56 Note that the last two syntaxes support prefix and glob matching in
57 the PMU name to simplify creation of events across multiple instances
58 of the same type of PMU in large systems (e.g. memory controller PMUs).
59 Multiple PMU instances are typical for uncore PMUs, so the prefix
60 'uncore_' is also ignored when performing this match.
65 child tasks do not inherit counters
68 stat events on existing process id (comma separated list)
72 stat events on existing thread id (comma separated list)
76 Select a PMU event using libpfm4 syntax (see http://perfmon2.sf.net)
77 including support for event filters. For example '--pfm-events
78 inst_retired:any_p:u:c=1:i'. More than one event can be passed to the
79 option using the comma separator. Hardware events and generic hardware
80 events cannot be mixed together. The latter must be used with the -e
81 option. The -e option and this one can be mixed and matched. Events
82 can be grouped using the {} notation.
87 system-wide collection from all CPUs (default if no target is specified)
90 Don't scale/normalize counter values
94 print more detailed statistics, can be specified up to 3 times
96 -d: detailed events, L1 and LLC data cache
97 -d -d: more detailed events, dTLB and iTLB events
98 -d -d -d: very detailed events, adding prefetch events
102 repeat command and print average + stddev (max: 100). 0 means forever.
106 print large numbers with thousands' separators according to locale.
107 Enabled by default. Use "--no-big-num" to disable.
108 Default setting can be changed with "perf config stat.big-num=false".
112 Count only on the list of CPUs provided. Multiple CPUs can be provided as a
113 comma-separated list with no space: 0,1. Ranges of CPUs are specified with -: 0-2.
114 In per-thread mode, this option is ignored. The -a option is still necessary
115 to activate system-wide monitoring. Default is to count on all CPUs.
119 Do not aggregate counts across all monitored CPUs.
123 null run - don't start any counters
127 be more verbose (show counter open errors, etc)
130 --field-separator SEP::
131 print counts using a CSV-style output to make it easy to import directly into
132 spreadsheets. Columns are separated by the string specified in SEP.
134 --table:: Display time for each run (-r option), in a table format, e.g.:
136 $ perf stat --null -r 5 --table perf bench sched pipe
138 Performance counter stats for 'perf bench sched pipe' (5 runs):
140 # Table of individual measurements:
148 5.483 +- 0.198 seconds time elapsed ( +- 3.62% )
152 monitor only in the container (cgroup) called "name". This option is available only
153 in per-cpu mode. The cgroup filesystem must be mounted. All threads belonging to
154 container "name" are monitored when they run on the monitored CPUs. Multiple cgroups
155 can be provided. Each cgroup is applied to the corresponding event, i.e., first cgroup
156 to first event, second cgroup to second event and so on. It is possible to provide
157 an empty cgroup (monitor all the time) using, e.g., -G foo,,bar. Cgroups must have
158 corresponding events, i.e., they always refer to events defined earlier on the command
159 line. If the user wants to track multiple events for a specific cgroup, the user can
160 use '-e e1 -e e2 -G foo,foo' or just use '-e e1 -e e2 -G foo'.
162 If wanting to monitor, say, 'cycles' for a cgroup and also for system wide, this
163 command line can be used: 'perf stat -e cycles -G cgroup_name -a -e cycles'.
167 Print the output into the designated file.
170 Append to the output file designated with the -o option. Ignored if -o is not specified.
174 Log output to fd, instead of stderr. Complementary to --output, and mutually exclusive
175 with it. --append may be used here. Examples:
176 3>results perf stat --log-fd 3 -- $cmd
177 3>>results perf stat --log-fd 3 --append -- $cmd
179 --control fd:ctl-fd[,ack-fd]
180 Listen on ctl-fd descriptor for command to control measurement ('enable': enable events,
181 'disable': disable events). Measurements can be started with events disabled using
182 --delay=-1 option. Optionally send control command completion ('ack\n') to ack-fd descriptor
183 to synchronize with the controlling process. Example of bash shell script to enable and
184 disable events during measurements:
190 ctl_fifo=${ctl_dir}perf_ctl.fifo
191 test -p ${ctl_fifo} && unlink ${ctl_fifo}
193 exec {ctl_fd}<>${ctl_fifo}
195 ctl_ack_fifo=${ctl_dir}perf_ctl_ack.fifo
196 test -p ${ctl_ack_fifo} && unlink ${ctl_ack_fifo}
197 mkfifo ${ctl_ack_fifo}
198 exec {ctl_fd_ack}<>${ctl_ack_fifo}
200 perf stat -D -1 -e cpu-cycles -a -I 1000 \
201 --control fd:${ctl_fd},${ctl_fd_ack} \
205 sleep 5 && echo 'enable' >&${ctl_fd} && read -u ${ctl_fd_ack} e1 && echo "enabled(${e1})"
206 sleep 10 && echo 'disable' >&${ctl_fd} && read -u ${ctl_fd_ack} d1 && echo "disabled(${d1})"
209 unlink ${ctl_ack_fifo}
220 Pre and post measurement hooks, e.g.:
222 perf stat --repeat 10 --null --sync --pre 'make -s O=defconfig-build/clean' -- make -s -j64 O=defconfig-build/ bzImage
225 --interval-print msecs::
226 Print count deltas every N milliseconds (minimum: 1ms)
227 The overhead percentage could be high in some cases, for instance with small, sub 100ms intervals. Use with caution.
228 example: 'perf stat -I 1000 -e cycles -a sleep 5'
230 If the metric exists, it is calculated by the counts generated in this interval and the metric is printed after #.
232 --interval-count times::
233 Print count deltas for fixed number of times.
234 This option should be used together with "-I" option.
235 example: 'perf stat -I 1000 --interval-count 2 -e cycles -a'
238 Clear the screen before next interval.
241 Stop the 'perf stat' session and print count deltas after N milliseconds (minimum: 10 ms).
242 This option is not supported with the "-I" option.
243 example: 'perf stat --time 2000 -e cycles -a'
246 Only print computed metrics. Print them in a single line.
247 Don't show any raw values. Not supported with --per-thread.
250 Aggregate counts per processor socket for system-wide mode measurements. This
251 is a useful mode to detect imbalance between sockets. To enable this mode,
252 use --per-socket in addition to -a. (system-wide). The output includes the
253 socket number and the number of online processors on that socket. This is
254 useful to gauge the amount of aggregation.
257 Aggregate counts per processor die for system-wide mode measurements. This
258 is a useful mode to detect imbalance between dies. To enable this mode,
259 use --per-die in addition to -a. (system-wide). The output includes the
260 die number and the number of online processors on that die. This is
261 useful to gauge the amount of aggregation.
264 Aggregate counts per physical processor for system-wide mode measurements. This
265 is a useful mode to detect imbalance between physical cores. To enable this mode,
266 use --per-core in addition to -a. (system-wide). The output includes the
267 core number and the number of online logical processors on that physical processor.
270 Aggregate counts per monitored threads, when monitoring threads (-t option)
271 or processes (-p option).
274 Aggregate counts per NUMA nodes for system-wide mode measurements. This
275 is a useful mode to detect imbalance between NUMA nodes. To enable this
276 mode, use --per-node in addition to -a. (system-wide).
280 After starting the program, wait msecs before measuring (-1: start with events
281 disabled). This is useful to filter out the startup phase of the program,
282 which is often very different.
287 Print statistics of transactional execution if supported.
290 By default, events to compute a metric are placed in weak groups. The
291 group tries to enforce scheduling all or none of the events. The
292 --metric-no-group option places events outside of groups and may
293 increase the chance of the event being scheduled - leading to more
294 accuracy. However, as events may not be scheduled together accuracy
295 for metrics like instructions per cycle can be lower - as both metrics
296 may no longer be being measured at the same time.
299 By default metric events in different weak groups can be shared if one
300 group contains all the events needed by another. In such cases one
301 group will be eliminated reducing event multiplexing and making it so
302 that certain groups of metrics sum to 100%. A downside to sharing a
303 group is that the group may require multiplexing and so accuracy for a
304 small group that need not have multiplexing is lowered. This option
305 forbids the event merging logic from sharing events between groups and
306 may be used to increase accuracy in this case.
310 Stores stat data into perf data file.
318 Reads and reports stat data from perf data file.
325 Aggregate counts per processor socket for system-wide mode measurements.
328 Aggregate counts per processor die for system-wide mode measurements.
331 Aggregate counts per physical processor for system-wide mode measurements.
335 Print metrics or metricgroups specified in a comma separated list.
336 For a group all metrics from the group are added.
337 The events from the metrics are automatically measured.
338 See perf list output for the possble metrics and metricgroups.
342 Do not aggregate counts across all monitored CPUs.
345 Print top down level 1 metrics if supported by the CPU. This allows to
346 determine bottle necks in the CPU pipeline for CPU bound workloads,
347 by breaking the cycles consumed down into frontend bound, backend bound,
348 bad speculation and retiring.
350 Frontend bound means that the CPU cannot fetch and decode instructions fast
351 enough. Backend bound means that computation or memory access is the bottle
352 neck. Bad Speculation means that the CPU wasted cycles due to branch
353 mispredictions and similar issues. Retiring means that the CPU computed without
354 an apparently bottleneck. The bottleneck is only the real bottleneck
355 if the workload is actually bound by the CPU and not by something else.
357 For best results it is usually a good idea to use it with interval
358 mode like -I 1000, as the bottleneck of workloads can change often.
360 The top down metrics are collected per core instead of per
361 CPU thread. Per core mode is automatically enabled
362 and -a (global monitoring) is needed, requiring root rights or
363 perf.perf_event_paranoid=-1.
365 Topdown uses the full Performance Monitoring Unit, and needs
366 disabling of the NMI watchdog (as root):
367 echo 0 > /proc/sys/kernel/nmi_watchdog
368 for best results. Otherwise the bottlenecks may be inconsistent
369 on workload with changing phases.
371 This enables --metric-only, unless overridden with --no-metric-only.
373 To interpret the results it is usually needed to know on which
374 CPUs the workload runs on. If needed the CPUs can be forced using
378 Do not merge results from same PMUs.
380 When multiple events are created from a single event specification,
381 stat will, by default, aggregate the event counts and show the result
382 in a single row. This option disables that behavior and shows
383 the individual events and counts.
385 Multiple events are created from a single event specification when:
386 1. Prefix or glob matching is used for the PMU name.
387 2. Aliases, which are listed immediately after the Kernel PMU events
388 by perf list, are used.
391 Measure SMI cost if msr/aperf/ and msr/smi/ events are supported.
393 During the measurement, the /sys/device/cpu/freeze_on_smi will be set to
394 freeze core counters on SMI.
395 The aperf counter will not be effected by the setting.
396 The cost of SMI can be measured by (aperf - unhalted core cycles).
398 In practice, the percentages of SMI cycles is very useful for performance
399 oriented analysis. --metric_only will be applied by default.
400 The output is SMI cycles%, equals to (aperf - unhalted core cycles) / aperf
402 Users who wants to get the actual value can apply --no-metric-only.
405 Configure all used events to run in kernel space.
408 Configure all used events to run in user space.
410 --percore-show-thread::
411 The event modifier "percore" has supported to sum up the event counts
412 for all hardware threads in a core and show the counts per core.
414 This option with event modifier "percore" enabled also sums up the event
415 counts for all hardware threads in a core but show the sum counts per
416 hardware thread. This is essentially a replacement for the any bit and
417 convenient for post processing.
424 Performance counter stats for 'make':
426 83723.452481 task-clock:u (msec) # 1.004 CPUs utilized
427 0 context-switches:u # 0.000 K/sec
428 0 cpu-migrations:u # 0.000 K/sec
429 3,228,188 page-faults:u # 0.039 M/sec
430 229,570,665,834 cycles:u # 2.742 GHz
431 313,163,853,778 instructions:u # 1.36 insn per cycle
432 69,704,684,856 branches:u # 832.559 M/sec
433 2,078,861,393 branch-misses:u # 2.98% of all branches
435 83.409183620 seconds time elapsed
437 74.684747000 seconds user
438 8.739217000 seconds sys
442 As displayed in the example above we can display 3 types of timings.
443 We always display the time the counters were enabled/alive:
445 83.409183620 seconds time elapsed
447 For workload sessions we also display time the workloads spent in
450 74.684747000 seconds user
451 8.739217000 seconds sys
453 Those times are the very same as displayed by the 'time' tool.
458 With -x, perf stat is able to output a not-quite-CSV format output
459 Commas in the output are not put into "". To make it easy to parse
460 it is recommended to use a different character like -x \;
462 The fields are in this order:
464 - optional usec time stamp in fractions of second (with -I xxx)
465 - optional CPU, core, or socket identifier
466 - optional number of logical CPUs aggregated
468 - unit of the counter value or empty
470 - run time of counter
471 - percentage of measurement time the counter was running
472 - optional variance if multiple values are collected with -r
473 - optional metric value
474 - optional unit of metric
476 Additional metrics may be printed with all earlier fields being empty.
480 linkperf:perf-top[1], linkperf:perf-list[1]