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SBC Power Consumption Rankings

Compare measured idle and full-load power draw across Single Board Computers

74 boards tested · readings from 0.6 to 13.7 (Idle (W))

Some earlier test runs recorded load power but not idle, so those boards appear only in the load and peak rankings.

105 results

Top Picks

Lowest Idle PowerArduino UNO Q 2GBQRB22100.6Idle (W)#1 of 74 · $59

Full Results

Ranked by
0204060
  1. 1
    Khadas VIM1S 2GBS905Y4 · $59
    2.3 W
  2. 2
    DEBIX Model C 2GBiMX 93 · $65
    3 W
  3. 3
    Libre Computer Le Potato 2GBS905X · $60
    3.8 W
  4. 4
    Orange Pi Zero 3 4GBH618 · $40
    3.9 W
  5. 5
    Radxa Zero 3W 8GBRK3566 · $92
    3.9 W
  6. 6
    Banana Pi M4 Zero 4GBH618 · $118
    4 W
  7. 7
    Orange Pi Zero 2W 4GBH618 · $40
    4 W
  8. 8
    Radxa ROCK 2F 2GBRK3528A · $15
    4.1 W
  9. 9
    Banana Pi M5 4GBS905X3 · $146
    4.2 W
  10. 10
    Milk-V Mars 4GBJH7110 · $49
    4.6 W
  11. 11
    Radxa ROCK 2A 4GBRK3528A · $30
    4.7 W
  12. 12
    ArmSoM Sige1 2GBRK3528A · $48
    4.8 W
  13. 13
    Libre Computer Solitude 4GBS905D3 · $100
    4.9 W
  14. 14
    DEBIX Model A 4GBiMX 8M Plus · $135
    5.5 W
  15. 15
    Orange Pi CM4 2GBRK3566 · $40
    5.5 W
  16. 16
    Raspberry Pi Compute Module 4 (CM4) 2GBBCM2711 · $62
    5.6 W
  17. 17
    Libre Computer Renegade 2GBRK3328 · $45
    5.8 W
  18. 18
    Radxa ROCK 3C 2GBRK3566 · $40
    6 W
  19. 19
    Orange Pi RV 4GBJH7110 · $50
    6.5 W
  20. 20
    Orange Pi 3B 4GBRK3566 · $94
    6.7 W
  21. 21
    StarFive VisionFive 2 4GBJH7110 · $99
    6.7 W
  22. 22
    Raspberry Pi 4 2GBBCM2711 · $72
    6.9 W
  23. 23
    Radxa ROCK 4D 8GBRK3576 · $106
    7 W
  24. 24
    Forlinx FET3576-C 2GBRK3576 · $210
    7.4 W
  25. 25
    Dshan Pi A1 4GBRK3576 · $69
    7.7 W
  26. 26
    Raspberry Pi 400 4GBBCM2711 · $65
    7.7 W
  27. 27
    Banana Pi R4 8GBMT7988A · $146
    7.8 W
  28. 28
    Radxa ROCK 3B 2GBRK3568 · $51
    7.8 W
  29. 29
    ArmSoM Sige5 8GBRK3576 · $239
    8.7 W
  30. 30
    Libre Computer Alta 4GBA311D · $125
    9.1 W
  31. 31
    NVIDIA Jetson Nano 2GBTegra X1 · $49
    9.1 W
  32. 32
    Radxa CM3I 2GBRK3568 · $65
    9.1 W
  33. 33
    Sipeed LicheePi 4A 8GBTH1520 · $145
    9.1 W
  34. 34
    Orange Pi RV2 4GBX1 · $46
    9.2 W
  35. 35
    Radxa Cubie A7A 6GBA733 · $80
    9.2 W
  36. 36
    Orange Pi Zero 3W 4GBA733 · $50
    9.6 W
  37. 37
    Banana Pi CM4 4GBA311D · $104
    9.9 W
  38. 38
    Banana Pi M2S (S922X) 4GBS922X · $67
    10 W
  39. 39
    Radxa Dragon Q6A 6GBQCS6490 · $119
    10.1 W
  40. 40
    Raspberry Pi 5 2GBBCM2712 · $82
    10.1 W
  41. 41
    Orange Pi 4A 4GBT527 · $50
    10.3 W
  42. 42
    Raspberry Pi 500 8GBBCM2712 · $194
    10.7 W
  43. 43
    Raspberry Pi Compute Module 5 4GBBCM2712 · $100
    10.9 W
  44. 44
    Radxa CM5 Lite 8GBRK3582 · $119
    11.4 W
  45. 45
    Radxa 4 SE 4GBRK3399-T · $80
    11.6 W
  46. 46
    Raspberry Pi 5 8GBBCM2712 · $189
    11.6 W
  47. 47
    Orange Pi Zero 4 4GBA733 · $68
    11.7 W
  48. 48
    Raspberry Pi 5 16GBBCM2712 · $329
    11.9 W
  49. 49
    Raspberry Pi 5 4GBBCM2712 · $118
    12.6 W
  50. 50
    Radxa ROCK 4C+ 4GBRK3399-T · $80
    13 W
  51. 51
    Raspberry Pi 500+ 16GBBCM2712 · $443
    13.2 W
  52. 52
    Libre Computer Renegade Elite 4GBRK3399 · $100
    15.3 W
  53. 53
    Orange Pi 5B 4GBRK3588S · $75
    15.3 W
  54. 54
    Orange Pi 5 Plus 8GBRK3588 · $135
    15.7 W
  55. 55
    Radxa ROCK 4B+ 4GBRK3399 OP1 · $170
    15.7 W
  56. 56
    Radxa ROCK 5A 4GBRK3588S · $130
    15.7 W
  57. 57
    Radxa ROCK 5C 4GBRK3588S2 · $166
    16.4 W
  58. 58
    ADLINK I-Pi SMARC 1200 4GBMT8395 · $394
    16.5 W
  59. 59
    Cool Pi 4B 4GBRK3588S · $140
    17.1 W
  60. 60
    Orange Pi 5 Pro 16GBRK3588S · $120
    17.5 W
  61. 61
    Radxa NX5 8GBRK3588S · $119
    18.8 W
  62. 62
    Radxa ROCK 5T 12GBRK3588 · $125
    19 W
  63. 63
    Radxa ROCK 5B 8GBRK3588 · $160
    19.2 W
  64. 64
    Radxa ROCK 5B+ 16GBRK3588 · $135
    19.2 W
  65. 65
    ArmSoM AIM7 8GBRK3588 · $297
    19.5 W
  66. 66
    ArmSoM Sige7 8GBRK3588 · $312
    20.2 W
  67. 67
    Radxa ROCK 5 ITX 8GBRK3588 · $120
    20.2 W
  68. 68
    ArmSoM W3 8GBRK3588 · $316
    21.5 W
  69. 69
    Radxa Fogwise Airbox Q900 36GBIQ-9075 · $849
    22 W
  70. 70
    Radxa X4 8GBN100 · $100
    22.1 W
  71. 71
    LattePanda Mu 8GBN100 · $398
    24.3 W
  72. 72
    Radxa Orion O6N 32GBP1 · $549
    39 W
  73. 73
    Orange Pi 6 16GBP1 · $359
    41.4 W
  74. 74
    Orange Pi 6 Plus 32GBP1 · $669
    43.8 W
  75. 75
    Radxa Dragon Q8B 32GBSnapdragon 8cx Gen 3 · $677
    50.3 W
0204060
Peak Power During Linpack (W), lower is better
Showing 75 boards · median 10 W (30 without a Linpack Peak result not shown)Top Picks from above

Frequently Asked Questions

Which single board computer uses the least power at idle?

The Arduino UNO Q 2GB currently has the lowest reading in our Power Consumption ranking at 0.6 (Idle (W)), measured on real hardware with our standardised test setup.

How much power does a single board computer use at idle?

Across the 74 boards we have tested, Power Consumption results range from 0.6 to 13.7 (Idle (W)), with a median of 2.2. Anything below the median puts a board in the lower half of the boards we have tested.

More benchmarks:Geekbench 6Geekbench 7Linpack7-ZipTinyMemBenchglmark2 (OpenGL)Fastest SBC Storagevkmark (Vulkan)vkpeak (Vulkan Compute)SuperTuxKartUnixBenchPassMarkcpuminerMAMEOllama LLMTest methodology

About SBC Power Consumption Rankings testing

We measure power at the board's power input with a TC66 USB power meter, sampling twice a second, and subtract anything we had to plug in for testing. Idle is the average over 20 seconds once the board has settled for 30 seconds with its default CPU governor, which is the number that matters for anything left running around the clock. Load is the average over five minutes of stress-ng hammering every core with CPU and matrix work under the performance governor. Linpack peak and Ollama peak are the highest readings we saw during those two benchmarks, which is a good guide to the power supply a board really needs. Lower is better for every figure, but remember that a board drawing very little at load is often simply a slow one: our Linpack GFLOPS per watt and Ollama tokens per watt rankings show efficiency.