--- layout: post title: Benchmark 数据 --- 可以参考[benchmark_tools](../benchmark_tools)，推荐**一键benchmark**。 ## 测试环境 * 测试模型 * fp32模型 * mobilenet_v1 * mobilenet_v2 * squeezenet_v1.1 * mnasnet * shufflenet_v2 * int8模型 * mobilenet_v1 * mobilenet_v2 * resnet50 * 测试机器(android ndk ndk-r17c) * 骁龙855 * xiaomi mi9, snapdragon 855 * 4xA76(1@2.84GHz + 3@2.4GHz) + 4xA55@1.78GHz * 骁龙845 * xiaomi mi8, 845 * 2.8GHz（大四核），1.7GHz（小四核） * 骁龙835 * xiaomi mix2, snapdragon 835 * 2.45GHz（大四核），1.9GHz（小四核） * 骁龙625 * oppo R9s, snapdragon625 * A53 x 8, big core@2.0GHz * 骁龙653 * 360 N5, snapdragon 653 * 4 x A73@2.0GHz + 4 x A53@1.4GHz * 麒麟970 * HUAWEI Mate10 * 测试说明 * commit id: 12c129affaacd476e27a0a82b235a9d547d33f0f * warmup=10, repeats=30，统计平均时间，单位是ms * 当线程数为1时，```DeviceInfo::Global().SetRunMode```设置LITE_POWER_HIGH，否者设置LITE_POWER_NO_BIND * 模型的输入图像的维度是{1, 3, 224, 224}，输入图像的每一位数值是1 ## 测试数据 ### fp32 模型测试数据 ## 测试数据 ### fp32 模型测试数据 骁龙855 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1 | 31.64 | 18.98 | 10.67 | 33.17 | 19.55 | 11.43 mobilenet_v2 | 25.54 | 13.80 | 8.75 | 29.25 | 15.19 | 9.65 squeezenet_v1.1 | 26.81 | 14.39 | 8.92 | 28.63 | 15.37 | 9.53 mnasnet | 25.39 | 13.89 | 9.63 | 28.97 | 15.54 | 10.10 shufflenet_v2 | 13.85 | 7.81 | 5.87 | 14.64 | 8.35 | 6.14 骁龙845 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1 | 62.04 | 33.63 | 18.63 | 66.23 | 35.78 | 20.14 mobilenet_v2 | 40.41 | 22.94 | 13.33 | 44.22 | 24.58 | 14.50 squeezenet_v1.1 | 49.92 | 23.78 | 13.86 | 52.00 | 24.85 | 15.87 mnasnet | 40.14 | 23.36 | 14.46 | 43.77 | 24.78 | 14.76 shufflenet_v2 | 22.27 | 13.69 | 8.96 | 26.11 | 14.95 | 9.02 骁龙835 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1 | 89.57 | 50.88 | 27.62 | 96.11 | 53.18 | 31.99 mobilenet_v2 | 59.92 | 33.93 | 20.91 | 64.04 | 36.85 | 23.10 squeezenet_v1.1 | 65.25 | 37.92 | 23.40 | 74.87 | 40.96 | 23.69 mnasnet | 60.97 | 35.04 | 22.40 | 64.88 | 37.90 | 24.53 shufflenet_v2 | 30.87 | 19.33 | 12.78 | 31.71 | 19.52 | 13.25 骁龙625 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1 | 180.98 | 92.27 | 51.51 | 216.12 | 110.33 | 61.68 mobilenet_v2 | 132.46 | 68.38 | 43.54 | 146.18 | 76.62 | 46.21 squeezenet_v1.1 | 124.49 | 66.84 | 41.53 | 153.28 | 82.42 | 47.14 mnasnet | 122.50 | 67.46 | 43.04 | 146.20 | 79.64 | 48.56 shufflenet_v2 | 68.70 | 40.77 | 26.53 | 75.38 | 42.40 | 28.36 骁龙653 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1 | 121.27 | 59.36 | 34.06 | 126.55 | 64.96 | 39.23 mobilenet_v2 | 79.48 | 46.17 | 27.81 | 87.93 | 48.28 | 31.87 squeezenet_v1.1 | 81.10 | 42.66 | 42.07 | 82.29 | 45.88 | 28.84 mnasnet | 75.60 | 44.22 | 30.16 | 82.99 | 49.07 | 32.34 shufflenet_v2 | 39.18 | 23.54 | 16.73 | 40.12 | 24.76 | 17.68 麒麟970 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1 | 99.58 | 56.91 | 29.02 | 102.42 | 57.81 | 35.36 mobilenet_v2 | 69.22 | 42.41 | 23.55 | 69.49 | 43.38 | 25.26 squeezenet_v1.1 | 67.48 | 41.06 | 24.47 | 75.03 | 43.57 | 26.35 mnasnet | 74.55 | 43.06 | 24.22 | 75.48 | 44.43 | 26.69 shufflenet_v2 | 39.20 | 24.54 | 16.34 | 37.40 | 24.32 | 16.66 ### int8 模型测试数据 骁龙855 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1_int8 | 16.77 | 8.38 | 4.59 | 43.42 | 20.80 | 10.89 mobilenet_v2_int8 | 22.81 | 13.71 | 10.43 | 29.65 | 20.09 | 13.99 resnet50_int8 | 258.83 | 157.22 | 85.83 | 424.99 | 209.37 | 112.32 骁龙845 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1_int8 | 44.08 | 23.75 | 12.52 | 49.19 | 26.77 | 13.82 mobilenet_v2_int8 | 36.61 | 22.70 | 15.29 | 40.51 | 25.84 | 17.89 resnet50_int8 | 399.64 | 217.74 | 112.86 | 408.80 | 224.72 | 122.15 骁龙835 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1_int8 | 59.99 | 31.59 | 16.55 | 62.92 | 33.33 | 17.38 mobilenet_v2_int8 | 50.68 | 31.25 | 21.62 | 52.56 | 33.88 | 24.31 resnet50_int8 | 498.85 | 267.65 | 146.03 | 510.54 | 278.77 | 155.05 骁龙625 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1_int8 | 122.86 | 63.52 | 33.91 | 125.77 | 64.78 | 34.25 mobilenet_v2_int8 | 110.71 | 67.76 | 49.85 | 114.63 | 71.74 | 51.73 resnet50_int8 | 954.67 | 505.78 | 286.64 | 1016.64 | 532.84 | 305.20 骁龙653 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1_int8 | 81.46 | 42.99 | 31.69 | 81.20 | 42.46 | 23.47 mobilenet_v2_int8 | 68.39 | 43.47 | 32.03 | 69.40 | 44.47 | 33.46 resnet50_int8 | 687.59 | 369.70 | 208.99 | 684.55 | 369.04 | 208.42 麒麟970 | armv8 | | |armv7 ||| ---- | ---- | ---- | ---- |---- |----| ----| num_threads | 1 | 2 | 4 |1 |2| 4 mobilenet_v1_int8 | 64.27 | 35.48 | 18.76 | 64.63 | 37.67 | 20.70 mobilenet_v2_int8 | 64.54 | 36.76 | 22.17 | 68.80 | 38.85 | 24.30 resnet50_int8 | 509.94 | 268.95 | 276.13 | 520.57 | 281.92 | 157.82