A Raspberry Pi 5 is likely to draw less power at idle than a typical Intel N100 mini PC, but that does not tell you which will cost less while encoding and sending a 24/7 YouTube stream. The available comparison reports idle readings, not a matched continuous-streaming test, so the fair answer comes from measuring both complete systems under the same stream settings and applying your electricity tariff.
That distinction matters if you are choosing a machine for a devotional channel, a lofi station or a local news loop. A few watts can matter over a year, but the relevant figure is average power at the wall while your own stream runs reliably, not a bare-board specification or an idle reading.
What this comparison can and cannot answer
The comparison gives you a useful starting point, not a winner for the workload in the title. CNX Software’s 2024 comparison reports 3.0–3.6 W idle for Raspberry Pi 5 and 7.5–10 W as typical idle draw for Intel N100 mini PCs. These are readings for the compared idle setups. They show that the Pi used less at idle in that comparison; they do not show the machines encoding the same video, at the same quality, for the same duration.
The difference between those reported endpoints is 3.9–7.0 W. It would be misleading to treat that range as the Pi’s savings during a live broadcast. Encoding can change power use, and the result depends on the exact hardware, software, codec, resolution, frame rate, peripherals and thermal behaviour. The research available for this article does not establish a matched encoding result for these two classes of machine.
The question is therefore two questions. First, what does each assembled computer draw in your chosen test condition? Second, does each one sustain the stream you need, with acceptable stream health and recovery behaviour? A lower electricity bill is not a useful result if the machine cannot keep the chosen workload running. Equally, a more capable computer is not automatically worth its extra power for a modest looping video.
This is a comparison of a Raspberry Pi 5 and a typical Intel N100 mini PC, not every Raspberry Pi and every mini PC. The N100 label covers products with different memory, storage, power supplies and cooling. Pi configurations also vary. Treat published readings as context, then measure the particular units you could actually buy.
Compare the same streaming workload
A fair test starts with the broadcast you intend to run. Match resolution, frame rate, codec, bitrate, audio, source file, overlays and any playlist or scene changes. If one computer decodes and re-encodes the video while the other merely forwards a prepared feed, their power figures answer different questions.
YouTube’s guidance makes clear that encoder settings vary with stream quality and that you should test before going live and monitor stream health. Its H.264 recommendations include 10 Mbps for 1080p at 30 frames per second and 17 Mbps for 1080p at 60 frames per second. Those are platform bitrate recommendations, not proof that either machine can encode the workload or a forecast of its electricity use. Check the current YouTube encoder settings and bitrate guidance when you decide what to test.
For a music or ambience channel, your real workload might be one long video loop at 1080p30 with a fixed audio track. A local news channel might use several clips, graphics and scheduled changes. Record the settings rather than relying on a vague description such as “HD stream”. If you are considering unusually high resolution or frame rate, the practical requirements may differ; our guide to streaming 4K 60fps to YouTube Live with FFmpeg is a useful place to think through that workload before testing.
Use the same network connection, router position and wired or wireless arrangement. Network conditions can affect dropped frames and stream health, even if they do not make the computer’s encoding work identical. Keep the test’s peripherals consistent where possible: a display, USB storage, audio interface or capture device can alter system demand. If a peripheral is essential to one build, include it in that build and note the difference rather than pretending it is absent.
Decide whether you are measuring the whole channel arrangement or only the computer. A camera, capture card, display, network switch or external audio device may draw power independently. For a real operating-cost comparison, measure equipment that would actually be left on for the broadcast, and state what is included. For a narrow computer comparison, keep the additional equipment outside both readings or include equivalent devices on each side.
Measure whole-system wall power
A plug-in watt meter gives a more relevant figure than adding component specifications: it measures the power drawn by the assembled setup from the mains. Plug the computer’s power supply into the meter and include the supply losses in the reading. If several devices are part of the always-on setup, measure them together at the same outlet or record their readings separately and add them. Note the meter’s displayed unit and resolution, and do not report more precision than it provides.
Measure the complete Pi build: board, compatible supply, storage, enclosure and any cooling or USB accessories it actually needs. Raspberry Pi’s official hardware documentation gives approximate power figures and cautions that added USB devices or a HAT can raise consumption. Its 800 mA typical bare-board active-current entry for Raspberry Pi 5 is not a wall-power result. Current alone does not specify the voltage and measurement conditions needed to turn it into a reliable mains reading. The Raspberry Pi hardware documentation explains why board figures should not be mistaken for the draw of your finished setup.
Do the same for the mini PC, including its supplied power adapter and the peripherals you intend to leave connected. Do not compare a bare Pi board figure with a mini PC measured at the wall. Nor should you assume that a power supply’s rated capacity is what the computer continuously consumes: capacity describes what it can provide, not its measured draw in your test.
Let each system reach its ordinary operating state before recording readings. Start the same stream, confirm it is actually live, and allow the machine to settle rather than measuring only the first moments after launch. Record average watts over a representative run that includes normal playback and any routine changes in your channel. A momentary display reading is less informative than a sustained average. Repeat if readings vary, and note interruptions or unusual events rather than silently discarding them.
A simple test sheet can keep the comparison honest: system configuration, operating system and encoder, stream settings, peripherals, average wall watts, test duration, room conditions if relevant, and any stream-health warnings or restarts. Run the machines in comparable conditions. The goal is not a laboratory claim; it is a repeatable decision about the two systems in front of you.
Calculate electricity cost at your tariff
Once you have average wall power, convert watts to energy before applying your bill rate. For continuous operation, the arithmetic is:
- Energy in kWh = average watts × hours ÷ 1,000.
- Cost = energy in kWh × your all-in price per kWh.
A full year of continuous operation is 8,760 hours, so annual energy in kWh is average watts × 8.76. Multiply that result by your own all-in tariff to estimate annual electricity cost. Include the rate and billing assumptions you used: taxes, fixed charges or time-of-use rates may mean the effective price differs from a headline unit rate. If your tariff varies by time, a single rate is only an approximation unless you weight the hours accordingly.
For illustration, suppose your meter shows an average of 20 W and your assumed all-in tariff is ₹8 per kWh. The calculation is 20 × 8.76 = 175.2 kWh in a year, then 175.2 × ₹8 = ₹1,401.60. This is arithmetic based on the stated assumptions, not a claim about a typical Indian tariff or a measured Pi or mini PC bill. Substitute your own measured watts and tariff.
The same method lets you compare the electricity portion against purchase cost. Work out the additional cost of the complete system, including storage, power supply, case, cooling and any adapters required for your chosen build. Then consider whether the difference in measured annual energy is material to you over the period you expect to use the machine. The 2024 CNX comparison includes example configuration prices, but those are historical examples, not current shop prices; check current listings for the exact parts you would buy. If you are also evaluating hosted operating costs rather than hardware, our guide to comparing INR billing for 24/7 YouTube streaming services covers a different cost category.
Do not put the idle gap into this formula as though it were a measured streaming gap. You may calculate an idle-only estimate for interest, but label it clearly and keep it separate from the cost of a live stream. For a decision about running a channel, use average watts recorded while the intended broadcast is active.
What idle readings do and do not show
Idle readings are valuable because they help describe the baseline cost of leaving a computer on when it has little work to do. In the cited 2024 CNX Software comparison, the Pi 5’s reported idle range is below the typical idle range reported for N100 mini PCs. That is evidence about those idle setups and a reason to test the Pi if low background consumption is important to you.
It is not evidence that the Pi will retain the same lead once it encodes continuously. A small source video may be easy to play back but costly to encode in software; a different codec or frame rate changes the work again. Hardware acceleration, encoder support and software configuration can also differ. Without a matched test, assigning either computer a streaming wattage or projecting the idle gap into a year-long bill would be invented precision.
Idle tests can still help diagnose your own setup. If one system draws unexpectedly high power before the stream starts, check what is connected and running. Compare with the stream active to see how much the workload changes its draw. Those two numbers describe your system under two conditions, but only the active number answers the electricity question for a continuous broadcast.
Keep the published figures in their proper role. They are a baseline from an independent comparison, not a guarantee for every board, enclosure or mini PC. The Pi documentation separately warns that additional attached devices can raise demand. Your assembled system can therefore depart from both a bare-board expectation and a published idle range.
Check practical fit for continuous streaming
Electricity is one operating cost; the other is whether you can maintain the channel without unwanted attention. Check that the device can encode your selected settings over a sustained period, stays within its thermal limits, and behaves sensibly after a network or power interruption. The research reviewed here does not establish comparative 24/7 reliability or encoding capability for Pi 5 versus N100, so treat these as tests to perform rather than settled advantages for either machine.
A Pi may suit you if you value a small, adaptable board, need GPIO or camera connections, or already have the skills and parts to assemble and maintain it. Account for the additional supply, storage, case and cooling needed by your configuration. If you prefer an off-the-shelf compact computer, an N100 mini PC may offer a more conventional desktop environment and broader general-purpose performance. CNX Software’s 2024 comparison reports stronger benchmark results for its tested N100 mini PC in most listed tests, but those results do not establish streaming performance and do not apply to every product.
Software needs matter as much as the processor label. Confirm that your operating system and chosen encoder support the required codec and settings. If you plan to schedule playlist rotations, test the whole routine, not just a single file; the OBS versus FFmpeg scheduling comparison can help clarify which operating approach fits your channel. Check audio synchronisation, transitions and stream health during a long run.
Recovery is part of the workload too. Decide what should happen if the stream process stops, the internet drops or the machine reboots. A person who is comfortable maintaining a computer may prefer direct control of a local system; someone who wants their own computer switched off may prefer an arrangement that removes that particular burden. StreamNeo can remove the need to leave your own computer running by turning an uploaded video into a YouTube live stream, which is relevant when that specific always-on device is the pain point. It does not change the need to prepare the file and channel correctly or to check that the intended stream works.
Test the actual stream before relying on it overnight. YouTube advises testing and monitoring stream health; use those checks to confirm that your chosen settings are arriving as expected. Keep a record of any dropped frames, stoppages or manual intervention, alongside the power reading. A system that uses less electricity but needs repeated attention may not be the lower-cost option for your time.
Make the decision from your own measurements
A practical comparison can be done in a short sequence. First, choose one realistic stream profile and document its resolution, frame rate, codec, bitrate, audio and source material. Next, assemble each complete system with the necessary storage, power supply, cooling and peripherals. Make the network and software configuration as comparable as the hardware allows, and write down any unavoidable differences.
Then run the same stream profile on each machine, confirm the broadcast is healthy, and measure average mains watts once each system has settled. Observe enough of a normal operating cycle to catch the work your channel actually does: for example, a playlist transition or a change of scene if those are part of the schedule. Record the duration and interruptions. If a machine fails to sustain the settings, that is an important result, not a reason to compare its idle draw instead.
Finally, use the same all-in tariff and annual hours for both calculations. Compare the resulting energy and estimated cost with the complete purchase price and practical fit. Keep idle, active and purchase figures in separate columns so a cheaper idle baseline cannot be mistaken for a cheaper stream. If your content, resolution or software changes later, repeat the test: the old measurement describes the old workload.
Before committing, compare the operating options on the pricing page. When the file and channel are ready, start free — 24-hour trial, no card.
FAQ
Does the Raspberry Pi 5 use less electricity than an Intel N100 mini PC?
In CNX Software’s 2024 comparison, the Pi 5 drew less at idle than the typical N100 mini PCs reported there. That is not a matched streaming test, so it does not establish which uses less electricity while encoding your live stream. Measure both complete systems under the same active workload.
Can I use idle watts to estimate the cost of streaming all year?
You can calculate an idle-only estimate, but it describes a machine doing little work, not a computer encoding a broadcast. For the continuous stream, measure average watts at the wall with the stream running and multiply by hours and your tariff. Do not project the published idle difference as a guaranteed streaming saving.
What should I include in a Raspberry Pi power measurement?
Measure the finished setup, including its supply, storage, enclosure, cooling and any connected USB devices or HATs that stay in use. Raspberry Pi’s approximate board figures do not account for all such additions. A wall meter captures the mains draw of the assembled system more directly.
Is an Intel N100 mini PC always the better choice for streaming?
No universal winner is established by the cited comparison. A mini PC may better suit someone who needs a conventional desktop environment or broader general-purpose capability, while a Pi may suit a compact, adaptable build. Test the required stream settings, sustained behaviour and recovery process on the exact devices you are considering.