An FPGA-Based Hardware Accelerator for CNNs Using On-Chip Memories Only: Design and Benchmarking with Intel Movidius Neural Compute Stick

Table 10

Performance comparison between Xilinx FPGAs, Intel FPGAs, and NCS.

Device	fclk (MHz)	Inference time (ms)	Total power (W)	Energy (mJ)
Xilinx FPGA families
Artix 7	47.6	0.94	1.043	0.98
Kintex-7 lv	48.2	0.93	0.969	0.90
Zynq-7000	67.8	0.65	1.387	0.90
Virtex 7	63.5	0.71	1.351	0.96
Virtex-US	78.4	0.57	1.861	1.01
Virtex-US+	104.2	0.43	2.141	0.92
Zynq-US+	116.4	0.39	2.259	0.88
Intel FPGA families
Cyclone V	31.4	1.43	2.301	3.29
Stratix V E	57.4	0.78	3.757	2.9
Stratix V GS	60.3	0.74	4.010	2.96
Arria 10	61	0.73	1.002	0.73
Stratix V GX	80	0.56	3.385	1.9
Intel movidius neural compute stick
NCS	600	10	0.810	8.1