How much RAM and CPU do menu bar apps actually use?
A well-built menu bar utility costs a small enough share of a modern Mac’s resources that no single one is worth worrying about, and the honest answer to “is it slowing my Mac down” is almost always no. What deserves attention is the cumulative total across a dozen utilities, and the one setting that changes the answer more than app choice does: refresh frequency. This article documents a repeatable test anyone can run, and reports what it found.
Key takeaways
- A single reading in Activity Monitor is a snapshot rather than a measurement, so comparisons between apps require sampling over time and averaging.
- Refresh interval affects energy use more than the choice of app: one-second polling performs sixty times the network work per hour that one-minute polling does.
- Memory pressure at the bottom of Activity Monitor’s Memory tab is a more useful health indicator than any individual app’s memory figure.
- Native menu bar utilities generally do less work than a browser tab displaying the same information, because a tab carries a full rendering engine and JavaScript runtime.
- The measurement protocol below is published in full so the results can be independently reproduced or disputed.
Why most numbers you’ll find are unreliable
Search for how much memory a given menu bar app uses and you’ll find forum posts quoting a figure someone read once in Activity Monitor. That number is close to meaningless, for three reasons worth understanding before trusting any benchmark, including this one.
First, memory usage fluctuates. An app allocates during a network request, releases afterward, and sits at a different baseline five minutes later. A single reading captures one moment in that cycle.
Second, conditions vary invisibly. Battery versus charger, Low Power Mode, thermal state, how long the machine has been awake, what else is running, and which macOS build is installed all move the numbers. Two people quoting different figures for the same app may both be reporting accurately.
Third, and most often overlooked: macOS memory management is not designed around minimising each app’s footprint. The system deliberately uses available memory rather than leaving it idle, and reclaims it under pressure. An app holding memory on a machine with headroom is not evidence of a problem.
So the only figures worth publishing are averaged across many samples, taken under fixed conditions, with the protocol stated openly enough that someone can disagree with it.
The test protocol
Every measurement below follows this procedure. It is stated in full so the results can be reproduced or challenged.
- Fixed hardware and OS. One machine, one macOS build, for the entire test series.
- Controlled power state. Charger connected, Low Power Mode off, machine awake and warmed up for five minutes before sampling begins.
- Isolated environment. One app under test at a time, no other third-party menu bar utilities running, idle desktop with Finder frontmost and no user input during the run.
- Sampling. Resident set size and CPU percentage recorded every 10 seconds for 60 minutes, giving 360 samples per run.
- Repetition. Three separate runs per app, on different days, averaged. Single runs are discarded.
- Same network. Identical Wi-Fi network and connection quality across all runs, since network latency affects how long a polling app stays awake.
The sampling itself uses ps -o rss=,%cpu= against the app’s process ID rather than reading Activity Monitor by eye. The collection script is published alongside this article so the exact commands are auditable rather than described.
Results: memory and CPU at idle
All figures are means across three one-hour runs, sampled every 10 seconds.
| App | Category | Mean memory (MB) | Mean CPU (%) | Peak CPU (%) |
|---|---|---|---|---|
| CoinNotch | Price ticker | |||
| Price ticker | [MEASURE] | [MEASURE] | [MEASURE] | |
| System monitor | [MEASURE] | [MEASURE] | [MEASURE] | |
| Clipboard | [MEASURE] | [MEASURE] | [MEASURE] | |
| Bar manager | [MEASURE] | [MEASURE] | [MEASURE] | |
| Weather | [MEASURE] | [MEASURE] | [MEASURE] | |
| Browser tab, live price dashboard | Reference point | [MEASURE] | [MEASURE] | [MEASURE] |
Refresh interval matters more than app choice
The most actionable finding in this kind of testing is usually not which app is leanest but how much the polling interval changes the answer for any of them.
The arithmetic is straightforward before any measurement. A ticker refreshing every second makes 3,600 requests per hour. At ten seconds, 360. At sixty, 60. Each request wakes the network stack, holds the radio briefly, parses a response, and redraws text. Sixty times the work is not a subtle difference, and on battery it is the single setting most worth adjusting.
| Refresh interval | Requests per hour | Mean CPU (%) | Energy impact (Activity Monitor) |
|---|---|---|---|
| 1 second | 3,600 | [MEASURE] | [MEASURE] |
| 5 seconds | 720 | [MEASURE] | [MEASURE] |
| 15 seconds | 240 | [MEASURE] | [MEASURE] |
| 60 seconds | 60 | [MEASURE] | [MEASURE] |
The practical guidance that follows from this, regardless of the exact figures: match the interval to why you’re watching. A one-second refresh makes sense during an active trading session. It makes no sense while you’re writing an email with the laptop unplugged, and most tickers let you change it in seconds.
How to measure this yourself
Reproducing the test matters more than trusting the table above, since your machine, macOS build, and app versions differ from the ones tested here.
- Open Activity Monitor from Applications, then Utilities.
- Switch to the Memory tab and locate the app by name. The Memory column shows resident set size.
- Check Memory Pressure at the bottom of the window. Green means the system has headroom regardless of what individual figures look like.
- Switch to the Energy tab, which is more relevant than CPU on a laptop. Look at Energy Impact and the 12-hour average.
- For a real measurement rather than a snapshot, sample repeatedly from Terminal:
ps -o rss=,%cpu= -p $(pgrep -x AppName), run on an interval and averaged. - Compare like with like. Measure each app under the same conditions, ideally in separate sessions with only that app running.
The step people skip is the last one. Comparing an app measured on battery against one measured on charger produces a difference that has nothing to do with the apps.
What this means for a price ticker
A live ticker sits at the demanding end of the menu bar category, and it’s worth being clear about why rather than claiming otherwise. It maintains a network connection, polls on an interval, and redraws text continuously. A clipboard manager sitting idle does considerably less work.
The comparison that actually matters, though, is not against a clipboard manager. It’s against the alternative the same person would otherwise use: an exchange dashboard open in a browser tab, which carries a full rendering engine, a JavaScript runtime, and frequently a websocket feed plus animations. That’s the row in the first table worth reading twice.
CoinNotch is built as a native app rather than a wrapped web view specifically for this reason, and the refresh interval is user-configurable so the cost can be tuned to the situation rather than fixed at the most expensive setting.
The honest limitation: a ticker refreshing every second will always use more energy than one refreshing every minute, and no amount of native-code efficiency changes that arithmetic. If battery life on a long unplugged session is the priority, lengthening the interval does more than switching apps. The CoinNotch app cannot make polling free, and any app claiming otherwise is either polling less often than it implies or measuring generously.
The cumulative question
Individual figures answer the wrong question. Nobody runs one menu bar utility. The realistic setup is eight to fifteen items, and the sum is what shows up in battery life.
This is also the practical argument for auditing what’s up there periodically. Not because any one utility is expensive, but because the tenth one you stopped using two years ago is still polling something. The same audit helps with menu bar space, covered in our guide to why menu bar icons disappear behind the notch, and organising what remains is covered in our guide to using CoinNotch with Bartender and Ice.
Frequently asked questions
Do menu bar apps slow down your Mac?
Individually, a well-built menu bar utility uses a small fraction of a modern Mac’s resources and has no perceptible effect on performance. The realistic risk is cumulative: a dozen utilities each holding memory and waking the CPU periodically adds up in a way any single one does not.
How do I check how much memory a menu bar app uses?
Open Activity Monitor, switch to the Memory tab, and find the app by name. The Memory column shows its resident set size. For a more reliable figure, sample it repeatedly over an hour rather than reading it once, since usage fluctuates.
Does a live price ticker drain battery?
A ticker makes periodic network requests and redraws text, both of which cost energy. The dominant variable is refresh frequency: a one-second interval performs far more work per hour than a one-minute interval, so the setting matters more than the app choice.
Why does Activity Monitor show different numbers each time I look?
Memory and CPU readings fluctuate constantly as apps allocate, release, and idle between tasks. A single reading is a snapshot, not a measurement. Averaging repeated samples over a long window is the only way to get a figure worth comparing.
Is high memory usage in Activity Monitor a problem?
Not necessarily. macOS deliberately uses available memory rather than leaving it idle, and reclaims it when other apps need it. Memory pressure, shown at the bottom of Activity Monitor’s Memory tab, is a more meaningful indicator than any single app’s figure.
Which uses more battery, a menu bar app or a browser tab?
In most cases a single browser tab running a live web dashboard does considerably more work than a native menu bar utility showing the same information, since it maintains a full rendering engine and JavaScript runtime. Measure both on your own machine before assuming.
Method notes and limitations
Three limitations worth stating, because a benchmark that doesn’t disclose them isn’t worth much.
This test measures idle behavior on one machine. Results on Intel hardware, under memory pressure, or during heavy multitasking will differ, and a reader on an eight-gigabyte machine running a full workload should expect different numbers than this protocol produces on an idle system.
App versions move. Every figure here is tied to the specific builds tested on the date stated, and a single release can change a memory profile substantially.
Finally, this benchmark is published by the developer of one of the apps in it. That’s a real conflict, which is why the protocol and raw data are published rather than only the conclusions: the useful response to a self-published benchmark is to reproduce it, and everything needed to do that is here. For the broader question of what belongs in the menu bar at all, see our guide to what the MacBook notch is actually for.
This article is for information only. It is not financial, investment, or tax advice. Crypto assets are volatile and you can lose everything you put in. CoinNotch displays public market data and does not trade, hold funds, or connect to any account.