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.
• rpi5b data from https://github.com/Tencent/ncnn/pull/5058

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
Radxa Rock5B		RK3588 A76 2.4GHz x 4 A55 1.8GHz x 4	3.65	5.41	3.37
Orange Pi 5		RK3588S A76 2.4GHz x 4 A55 1.8GHz x 4	3.83	5.75	3.57
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
Raspberry Pi 5B		BCM2712 A76 2.4GHz x 4	8.56	11.32	4.56
M4N DOCK		AX650 A55 1.7Ghz x 8	10.61	11.86	10.64
NVIDIA Jetson Nano		Maxwell 921MHz x 128	9.03	15.39	10.61
Khadas VIM4		ARM Mali-G52 800MHz x MP8(8EE)	12.77	20.17	12.81
Unisoc Tiger T710		Unisoc Tiger T710 A75 1.82GHz x 4 A55 1.82GHz x 4	16.25	20.31	10.59
Radxa Rock3A		RK3568 A55 2.0GHz x 4	23.20	30.78	19.49
Khadas VIM3		ARM Mali-G52 800MHz x MP4(6EE)	19.54	31.62	17.91
Panther X2		RK3566 A55 1.8GHz x 4	25.91	33.17	21.81
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
Khadas VIM4		A311D2 A73 2.2GHz x 4 A53 2.0GHz x 2	24.27	37.65	19.79
NVIDIA Jetson Nano		A57 1.43GHz x 4	28.55	40.25	19.44
Khadas VIM3		A311D A73 2.2GHz x 4 A53 1.8GHz x 2	30.98	42.57	21.62
Lichee Pi 4A		T-Head TH1520 RV64GCV 2.0GHz x 4	42.29	47.73	120.13
NanoPi Fire3		S5P6818 A53 1.4GHz x 8	41.81	52.33	33.54
Debix Model A		i.MX8M Plus A53 1.6GHz x 4	40.15	54.01	29.33
Odroid XU4		Exynos 5422 A15 2GHz x 4 A7 1.3GHz x 4	35.73	54.17	25.75
Tinker Board S R2.0		ARM Mali-T764	41.48	60.28	55.87
Radxa Zero		S905Y2 A53 1.8GHz x 4	46.82	60.49	35.18
Raspberry Pi 4B		BCM2711B0 A72 1.5GHz x 4	46.28	60.74	32.91
NanoPi M4		RK3399 A72 1.8GHz x 2 A53 1.5GHz x 4	43.73	64.28	27.43
BeagleBone AI 64		TDA4VM A72 2.0GHz x 2	42.23	65.78	29.97
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
Tinker Board S R2.0		RK3288CGW A17 1.8GHz x 4	52.86	82.19	38.17
NanoPi R2S		RK3328 A53 1.3GHz x 4	62.20	82.88	52.34
EAIDK 310		RK3228H A53 1.3GHz x 4	61.87	83.88	45.83
Radxa Zero		ARM Mali-G31 850 MHz x 2	57.95	98.62	51.71
Raspberry Pi 3B+		BCM2837B0 A53 1.4GHz x 4	84.74	107.84	58.38
Banana Pi M3		AllWinner A83T A7 1.8GHz x 8	88.35	109.72	80.91
MangoPI MQ-Quad		AllWinner H616 A53 1.5GHz x 4	99.60	129.70	66.90
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
Radxa RockPi S		RK3308 A35 1.3GHz x 4	142.02	214.56	102.44
StarFive VisionFive V2		SiFive’s U74 RV64GFC 1.5GHz x 4	150.07	256.21	91.14
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
Raspberry Pi 2B		BCM2836 A7 900MHz x 4	179.50	296.97	132.49
Banana Pi M2 Zero 2		AllWinner H2+ A7 1.2GHz x 4	218.73	303.92	138.43
Raspberry Pi 4B		Broadcom VideoCore VI	286.71	365.04	162.14
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 B+		ARM1176JZF-S 700MHz x 1	4285.24	7684.05	2102.22