ncnn-small-board
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ncnn benchmark on various single board computers
ncnn 小板子
ncnn is a high-performance neural network inference framework.
See https://github.com/Tencent/ncnn for more info about ncnn.
- The benchmark score is the inference time, less is better.
- Runs on all cpu big cores or vulkan, and fp16 arithmetic is enabled if supported.
- Table contents are ordered by mobilenet.
- Rock5B data from https://forum.radxa.com/t/rock5-android12-bringup-status-update/8506/17
| small-board | image | spec | squeezenet | mobilenet | shufflenet |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin | ![]() |
Ampere 1.3GHz x 2048 Tensor Core x 64 |
2.13 | 2.03 | 2.57 |
| NVIDIA Jetson AGX Orin | ![]() |
A78AE 2.2GHz x 12 | 3.50 | 3.49 | 5.08 |
| ZYSJ RK3588 | ARM Mali-G610 | 7.09 | 9.16 | 5.88 | |
| ZYSJ RK3588 | RK3588 A76 2.4GHz x 4 A55 1.8GHz x 4 |
7.57 | 11.01 | 7.95 | |
| Radxa Rock5B | ![]() |
RK3588 A76 2.4GHz x 4 A55 1.8GHz x 4 |
9.38 | 11.97 | 8.02 |
| NVIDIA Jetson Nano | ![]() |
Maxwell 921MHz x 128 | 12.00 | 16.03 | 14.23 |
| Unisoc Tiger T710 | ![]() |
Unisoc Tiger T710 A75 1.82GHz x 4 A55 1.82GHz x 4 |
16.25 | 20.31 | 10.59 |
| Khadas VIM3 | ![]() |
ARM Mali-G52 | 19.54 | 31.62 | 17.91 |
| Radxa Rock3A | ![]() |
RK3568 A55 2.0GHz x 4 |
29.52 | 34.47 | 23.62 |
| NanoPi M4 | ![]() |
ARM Mali-T864 | 24.57 | 35.86 | 33.90 |
| Radxa RockPi X | ![]() |
Intel HD Graphics (Cherry Trail) 500 MHz | 29.91 | 36.41 | 24.54 |
| NVIDIA Jetson Nano | ![]() |
A57 1.43GHz x 4 | 30.03 | 41.74 | 21.07 |
| Khadas VIM3 | ![]() |
A311D A73 2.2GHz x 4 A53 1.8GHz x 2 |
30.98 | 42.57 | 21.62 |
| Odroid XU4 | Exynos 5422 A15 2GHz x 4 A7 1.3GHz x 4 |
41.42 | 55.91 | 23.12 | |
| Debix Model A | i.MX8M Plus A53 1.6GHz x 4 |
44.60 | 59.50 | 30.34 | |
| Tinker Board S R2.0 | ![]() |
ARM Mali-T764 | 41.78 | 62.67 | 56.83 |
| Raspberry Pi 4B | ![]() |
BCM2711B0 A72 1.5GHz x 4 |
51.93 | 62.97 | 34.52 |
| NanoPi M4 | ![]() |
RK3399 A72 1.8GHz x 2 A53 1.5GHz x 4 |
43.73 | 64.28 | 27.43 |
| Radxa Zero | ![]() |
S905Y2 A53 1.8GHz x 4 |
51.92 | 66.12 | 37.15 |
| NanoPi K2 | ![]() |
S905 A53 1.5GHz x 4 |
56.96 | 75.25 | 38.70 |
| Radxa RockPi X | ![]() |
Atom x5-Z8350 x86-64 1.92 GHz x 4 |
50.22 | 80.12 | 37.96 |
| NanoPi R2S | ![]() |
RK3328 A53 1.3GHz x 4 |
62.20 | 82.88 | 52.34 |
| Tinker Board S R2.0 | ![]() |
RK3288CGW A17 1.8GHz x 4 |
56.32 | 83.56 | 35.96 |
| EAIDK 310 | ![]() |
RK3228H A53 1.3GHz x 4 |
68.97 | 90.87 | 48.22 |
| Radxa Zero | ![]() |
ARM Mali-G31 850 MHz x 2 | 55.29 | 98.45 | 52.24 |
| Raspberry Pi 3B+ | ![]() |
BCM2837B0 A53 1.4GHz x 4 |
93.48 | 111.72 | 63.71 |
| Raspberry Pi Zero 2W | ![]() |
BCM2710A1 A53 1.0GHz x 4 |
119.52 | 162.60 | 72.72 |
| EASY EAI Nano | ![]() |
RV1126 A7 1.5GHz x 4 |
105.16 | 163.82 | 68.79 |
| RVB-ICE | ![]() |
T-Head C910 RV64GC 1.2GHz x 2 |
161.10 | 274.39 | 118.61 |
| Loongson Pie Lite | ![]() |
Loongson 2K1000 GS264 1.0GHz x 2 |
185.28 | 276.03 | 124.39 |
| Ingenic X2000 | Ingenic X2000 XBurst2 1.2GHz x 2 |
175.99 | 282.25 | 118.4 | |
| Banana Pi M2 Zero 2 | ![]() |
AllWinner H2+ A7 1.2GHz x 4 |
230.97 | 327.65 | 147.97 |
| Raspberry Pi 4B | ![]() |
Broadcom VideoCore VI | 308.47 | 345.16 | 143.88 |
| Raspberry Pi 2B | ![]() |
BCM2836 A7 900MHz x 4 |
221.84 | 346.58 | 141.40 |
| PICO-PI-IMX7 | ![]() |
i.MX7D A7 1.0GHz x 2 |
220.10 | 366.92 | 137.02 |
| Microphase Z7-Lite | ![]() |
XC7Z020CLG400 A9 766MHz x 2 |
389.18 | 623.71 | 212.20 |
| MangoPI MQ-Pro | ![]() |
D1 C906 RV64GCV 1GHz x 1 |
385.21 | 691.47 | 487.67 |
| NeZha D1 | ![]() |
D1 C906 RV64GCV 1GHz x 1 |
396.18 | 727.97 | 495.87 |
| StarFive VisionFive V1 | ![]() |
SiFive’s U74 RV64GFC 1.5GHz x 2 |
609.41 | 993.87 | 358.98 |
| Raspberry Pi 1B | ![]() |
ARM1176JZF-S 700MHz x 1 |
38957.64 | 85496.75 | 16750.39 |


























