StarFive VisionFive V1 RV64GC 1.5GHz x 2
20220529
拼算力的 mobilenet 模型上依旧打不赢有v扩展的单核d1
不过凭借访存优势在 shufflenet 模型上赢了d1
model | baseline | pr3857 | diff |
---|---|---|---|
squeezenet | 1697.78 | 609.41 | -64.11% |
mobilenet | 2239.54 | 993.87 | -55.62% |
mobilenet_v2 | 1468.94 | 728.17 | -50.43% |
mobilenet_v3 | 1191.72 | 674.72 | -43.38% |
shufflenet | 623.26 | 358.98 | -42.40% |
shufflenet_v2 | 608.18 | 303.73 | -50.06% |
mnasnet | 1379.11 | 735.94 | -46.64% |
proxylessnasnet | 1523 | 871.64 | -42.77% |
efficientnet_b0 | 2147.2 | 1355.94 | -36.85% |
efficientnetv2_b0 | 3967.31 | 1325.71 | -66.58% |
regnety_400m | 1718.47 | 878.48 | -48.88% |
blazeface | 192.36 | 106.69 | -44.54% |
googlenet | 9846.36 | 2484.78 | -74.76% |
resnet18 | 12075.38 | 2198.83 | -81.79% |
alexnet | 4575.12 | 2252.52 | -50.77% |
vgg16 | 146658.11 | 18000.95 | -87.73% |
resnet50 | 20093.45 | 5499.88 | -72.63% |
squeezenet_ssd | 8924.95 | 1904.07 | -78.67% |
mobilenet_ssd | 4967.77 | 2230.24 | -55.11% |
mobilenet_yolo | 13190.93 | 6003.25 | -54.49% |
mobilenetv2_yolov3 | 5637.48 | 2685.14 | -52.37% |
yolov4-tiny | 29967.02 | 4873.81 | -83.74% |
nanodet_m | 1589.48 | 836.73 | -47.36% |
yolo-fastest-1.1 | 849.2 | 437.98 | -48.42% |
yolo-fastestv2 | 670.07 | 393.94 | -41.21% |