The international forum “AI in 5G – Leading the New Era Forum” was held in Shenzhen on March 6. At the conference, Artificial Intelligence Industry Alliance (AIIA) officially announced the first round of “AIIA DNN benchmark V0.5” evaluation results. As one of the products evaluated in the first round, Rockchip RK3399 passed the evaluation.
Mainly targeting the edge and based on AIIA’s authoritative test platform, AIIA DNN benchmark V0.5 objectively reflects the performance of processors with DNN acceleration capacity in completing inference tasks under four typical application scenarios. According to Sun Mingjun, the Leader of the General Group of AIIA, the first round of evaluation involved four typical application scenarios and two major categories of testing indicators, including speed (fps) and algorithm performance, such as top1, top5, mAP, mIoU, PSNR, etc.. It is the first benchmark in the field of deep learning processor that distinguishes integer and float comparison.
Mainly targeting the edge and based on AIIA’s authoritative test platform, AIIA DNN benchmark V0.5 objectively reflects the performance of processors with DNN acceleration capacity in completing inference tasks under four typical application scenarios. According to Sun Mingjun, the Leader of the General Group of AIIA, the first round of evaluation involved four typical application scenarios and two major categories of testing indicators, including speed (fps) and algorithm performance, such as top1, top5, mAP, mIoU, PSNR, etc.. It is the first benchmark in the field of deep learning processor that distinguishes integer and float comparison.
AI solution Rockchip RK3399 ,adoting 28nm process, participated in the first round of evaluation. The results showed that while fixed-point retraining was not required in float models, int8 achieved the performance double that of float computation at the price of a maximum precision loss of 1%.
“Information from Fuzhou Rockchip Electronics Co., Ltd. All rights reserved”
