KV260 スターター キットは UltraScale+ デバイスを使用します。1 個の B4096 DPU コアがプログラム ロジックに実装されており、1.23 TOPS INT8 のピーク性能を達成できるため、深層学習の推論高速化に最適です。
次の表では、DPU を使用し、300MHz で動作する KV260 のさまざまなニューラル ネットワーク サンプルのスループット性能 (fps) を示しています。
番号 | ニューラル ネットワーク | 入力サイズ | GOPS | 性能 (fps) (単一スレッド) | 性能 (fps) (複数スレッド) |
---|---|---|---|---|---|
1 | bcc_pt | 800x1000 | 268.9 | 3.6 | 4 |
2 | c2d2_lite | 512x512 | 6.86 | 3.2 | 3.4 |
3 | centerpoint | 2560x40x4 | 54 | 17.2 | 20.2 |
4 | chen_color_resnet18_pt | 224x224 | 3.627 | 219.9 | 239.7 |
5 | clocs | 12000x100x4 | 41 | 3 | 8.9 |
6 | densebox_320_320 | 320x320 | 0.49 | 546.3 | 1033.2 |
7 | densebox_640_360 | 360x640 | 1.1 | 270.4 | 493.8 |
8 | drunet_pt | 528x608 | 2.59 | 64.4 | 78.1 |
9 | efficientdet_d2_tf | 768x768 | 11.06 | 3.3 | 4.2 |
10 | efficientnet-b0_tf2 | 224x224 | 0.36 | 84.3 | 87.7 |
11 | efficientNet-edgetpu-L_tf | 300x300 | 19.36 | 37.5 | 38.6 |
12 | efficientNet-edgetpu-M_tf | 240x240 | 7.34 | 86 | 90 |
13 | efficientNet-edgetpu-S_tf | 224x224 | 4.72 | 123.6 | 131.8 |
14 | ENet_cityscapes_pt | 512x1024 | 8.6 | 11.2 | 29.9 |
15 | face_landmark | 96x72 | 0.14 | 1030.4 | 1153.6 |
16 | face_mask_detection_pt | 512x512 | 0.593 | 122.3 | 170.5 |
17 | face-quality | 80x60 | 0.06 | 3392 | 5528.3 |
18 | face-quality_pt | 80x60 | 0.06 | 3351.2 | 5550.1 |
19 | facerec_resnet20 | 112x96 | 3.5 | 180.1 | 184.7 |
20 | facerec_resnet64 | 112x96 | 11 | 58.8 | 79.1 |
21 | facerec-resnet20_mixed_pt | 112x96 | 3.5 | 180.5 | 185.1 |
22 | facereid-large_pt | 96x96 | 0.5 | 1024.3 | 1222.4 |
23 | facereid-small_pt | 80x80 | 0.09 | 2457.4 | 3563.1 |
24 | fadnet | 576x960 | 441 | 1.7 | 2.2 |
25 | fadnet_pruned | 576x960 | 154 | 2.7 | 4.3 |
26 | FairMot_pt | 640x480 | 36 | 24.2 | 27 |
27 | fpn | 256x512 | 8.9 | 37.8 | 82.3 |
28 | FPN_Res18_Medical_segmentation | 320x320 | 45.3 | 13.6 | 17.5 |
29 | FPN-resnet18_covid19-seg_pt | 352x352 | 22.7 | 39.7 | 41.3 |
30 | FPN-resnet18_Endov | 240x320 | 13.75 | 39.7 | 67.9 |
31 | HardNet_MSeg_pt | 352x352 | 22.78 | 26.6 | 27.6 |
32 | hfnet_tf | 960x960 | 20.09 | 3.4 | 11 |
33 | hourglass-pe_mpii | 256x256 | 10.2 | 20.6 | 66.3 |
34 | inception_resnet_v2_tf | 299x299 | 26.4 | 25.6 | 26.2 |
35 | inception_v1 | 224x224 | 3.2 | 190 | 221.8 |
36 | inception_v1_tf | 224x224 | 3 | 205 | 227.4 |
37 | inception_v2 | 224x224 | 4 | 141.5 | 157.7 |
38 | inception_v2_tf | 224x224 | 3.88 | 99.3 | 104.5 |
39 | inception_v3 | 299x299 | 11.4 | 64.1 | 67.5 |
40 | inception_v3_pt | 299x299 | 5.7 | 63.7 | 67.5 |
41 | inception_v3_tf | 299x299 | 11.5 | 64 | 67.4 |
42 | inception_v3_tf2 | 299x299 | 11.5 | 63.3 | 66.7 |
43 | inception_v4 | 299x299 | 24.5 | 30.7 | 31.6 |
44 | inception_v4_2016_09_09_tf | 299x299 | 24.6 | 30.8 | 31.6 |
45 | medical_seg_cell_tf2 | 128x128 | 5.3 | 165.3 | 179.7 |
46 | MLPerf_resnet50_v1.5_tf | 224x224 | 8.19 | 85.1 | 88.7 |
47 | mlperf_ssd_resnet34_tf | 1200x1200 | 433 | 1.9 | 2.6 |
48 | mobilenet_1_0_224_tf2 | 224x224 | 1.1 | 348.3 | 417.6 |
49 | mobilenet_edge_0_75_tf | 224x224 | 0.62 | 284.7 | 328.6 |
50 | mobilenet_edge_1_0_tf | 224x224 | 0.99 | 231.7 | 261 |
51 | mobilenet_v1_0_25_128_tf | 128x128 | 0.027 | 1461.1 | 2466.9 |
52 | mobilenet_v1_0_5_160_tf | 160x160 | 0.15 | 1005.3 | 1491.7 |
53 | mobilenet_v1_1_0_224_tf | 224x224 | 1.1 | 353.2 | 426.1 |
54 | mobilenet_v2 | 224x224 | 0.6 | 297.1 | 344.8 |
55 | mobilenet_v2_1_0_224_tf | 224x224 | 0.6 | 291 | 337.4 |
56 | mobilenet_v2_1_4_224_tf | 224x224 | 1.2 | 204.3 | 229.1 |
57 | mobilenet_v2_cityscapes_tf | 1024x2048 | 132.74 | 1.9 | 3.3 |
58 | mobilenet_v3_small_1_0_tf2 | 224x224 | 0.132 | 374.3 | 455 |
59 | movenet_ntd_pt | 192x192 | 0.5 | 102.9 | 352.3 |
60 | MT-resnet18_mixed_pt | 512x320 | 13.65 | 35.2 | 50.5 |
61 | multi_task | 288x512 | 14.8 | 42.6 | 58.5 |
62 | multi_task_v3_pt | 320x512 | 25.44 | 17.9 | 29.9 |
63 | ocr_pt | 960x960 | 875.7 | 1.1 | 1.3 |
64 | ofa_depthwise_res50_pt | 176x176 | 1.25 | 101.8 | 271 |
65 | ofa_rcan_latency_pt | 360x640 | 45.7 | 18 | 19.3 |
66 | ofa_resnet50_0_9B_pt | 160x160 | 0.9 | 199.2 | 214.9 |
67 | ofa_yolo_pruned_0_30_pt | 640x640 | 34.71 | 23 | 26.4 |
68 | ofa_yolo_pruned_0_50_pt | 640x640 | 24.62 | 29.4 | 35.5 |
69 | ofa_yolo_pt | 640x640 | 48.88 | 17.9 | 20.1 |
70 | openpose_pruned_0_3 | 368x368 | 49.9 | 3.9 | 5.5 |
71 | person-orientation_pruned_558m_pt | 224x112 | 0.558 | 714.5 | 805.7 |
72 | personreid-res18_pt | 176x80 | 1.1 | 398.1 | 436.9 |
73 | personreid-res50_pt | 256x128 | 5.4 | 115.5 | 122.4 |
74 | plate_detect | 320x320 | 0.49 | 686.2 | 1287.4 |
75 | plate_num | 96x288 | 1.75 | 222.8 | 292.3 |
76 | pmg_pt | 224x224 | 2.28 | 162 | 173.3 |
77 | pointpainting_nuscenes_pt | 40000x64x16 | 112 | 1.3 | 2.8 |
78 | pointpillars_kitti_pt | 12000x100x4 | 10.8 | 22.5 | 32.3 |
79 | pointpillars_nuscenes_pt | 40000x64x5 | 108 | 2.4 | 5.4 |
80 | rcan_pruned_tf | 360x640 | 86.95 | 9.2 | 9.5 |
81 | refinedet_baseline | 480x360 | 123 | 6 | 9.3 |
82 | refinedet_pruned_0_8 | 360x480 | 25 | 35.2 | 37.7 |
83 | refinedet_pruned_0_92 | 360x480 | 10.1 | 70.3 | 80 |
84 | refinedet_pruned_0_96 | 360x480 | 5.1 | 99.2 | 118.7 |
85 | refinedet_VOC_tf | 320x320 | 81.9 | 11 | 13.1 |
86 | RefineDet-Medical_EDD_tf | 320x320 | 9.8 | 72.6 | 85.7 |
87 | reid | 80x160 | 0.95 | 364.1 | 450.1 |
88 | resnet_v1_101_tf | 224x224 | 14.4 | 49.1 | 51.1 |
89 | resnet_v1_152_tf | 224x224 | 21.8 | 34 | 34.5 |
90 | resnet_v1_50_tf | 224x224 | 7 | 94.7 | 99.3 |
91 | resnet_v2_101_tf | 299x299 | 26.78 | 25.4 | 25.9 |
92 | resnet_v2_152_tf | 299x299 | 40.47 | 17.2 | 17.5 |
93 | resnet_v2_50_tf | 299x299 | 13.1 | 48.5 | 50.5 |
94 | resnet18 | 224x224 | 3.7 | 211.7 | 234.9 |
95 | resnet50 | 224x224 | 7.7 | 95.3 | 99.7 |
96 | resnet50_pt | 224x224 | 4.1 | 84.4 | 88 |
97 | resnet50_tf2 | 224x224 | 7.7 | 93.4 | 98.2 |
98 | retinaface | 360x640 | 1.11 | 152.3 | 315.8 |
99 | SA_gate_base_pt | 360x360 | 178 | 3.5 | 4.6 |
100 | salsanext_pt | 64x2048 | 20.4 | 6.2 | 19.6 |
101 | salsanext_v2_pt | 64x2048 | 32 | 4.5 | 11.4 |
102 | semantic_seg_citys_tf2 | 512x1024 | 54 | 8 | 15.4 |
103 | SemanticFPN_cityscapes_pt | 256x512 | 10 | 38.7 | 86.6 |
104 | SemanticFPN_Mobilenetv2_pt | 512x1024 | 5.4 | 11.2 | 33 |
105 | SESR_S_pt | 360x640 | 7.48 | 94.8 | 105.6 |
106 | solo_pt | 640x640 | 107 | 1.4 | 4.4 |
107 | sp_net | 128x224 | 0.55 | 637.1 | 783.8 |
108 | squeezenet | 227x227 | 0.76 | 596.2 | 725.3 |
109 | squeezenet_pt | 224x224 | 0.82 | 533.7 | 755.9 |
110 | ssd_adas_pruned_0_95 | 360x480 | 6.3 | 98.4 | 123.4 |
111 | ssd_inception_v2_coco_tf | 300x300 | 9.6 | 42.2 | 47.3 |
112 | ssd_mobilenet_v1_coco_tf | 300x300 | 2.5 | 117.1 | 169.7 |
113 | ssd_mobilenet_v2 | 360x480 | 6.6 | 26.9 | 66.1 |
114 | ssd_mobilenet_v2_coco_tf | 300x300 | 3.8 | 87.9 | 113.1 |
115 | ssd_pedestrian_pruned_0_97 | 360x360 | 5.9 | 86.8 | 110.5 |
116 | ssd_resnet_50_fpn_coco_tf | 640x640 | 178.4 | 2.9 | 5.2 |
117 | ssd_traffic_pruned_0_9 | 360x480 | 11.6 | 60.5 | 76.3 |
118 | ssdlite_mobilenet_v2_coco_tf | 300x300 | 1.5 | 106.3 | 161.6 |
119 | ssr_pt | 256x256 | 39.72 | 6.5 | 6.5 |
120 | superpoint_tf | 480x640 | 52.4 | 11.5 | 20.6 |
121 | textmountain_pt | 960x960 | 575.2 | 1.7 | 1.9 |
122 | tiny_yolov3_vmss | 416x416 | 5.46 | 130.9 | 167.2 |
123 | tsd_yolox_pt | 640x640 | 73 | 14 | 14.6 |
124 | ultrafast_pt | 288x800 | 8.4 | 37.4 | 41.3 |
125 | unet_chaos-CT_pt | 512x512 | 23.3 | 24.3 | 30.8 |
126 | vehicle_make_resnet18_pt | 224x224 | 3.627 | 217.8 | 239 |
127 | vehicle_type_resnet18_pt | 224x224 | 3.627 | 220.1 | 240.1 |
128 | vgg_16_tf | 224x224 | 31 | 21.5 | 21.7 |
129 | vgg_19_tf | 224x224 | 39.3 | 18.5 | 18.7 |
130 | vpgnet_pruned_0_99 | 480x640 | 2.5 | 111.3 | 162.6 |
131 | yolov2_voc | 448x448 | 34 | 28.4 | 29.6 |
132 | yolov2_voc_pruned_0_66 | 448x448 | 11.6 | 69.8 | 77.8 |
133 | yolov2_voc_pruned_0_71 | 448x448 | 9.9 | 81.2 | 91.8 |
134 | yolov2_voc_pruned_0_77 | 448x448 | 7.8 | 95.7 | 110.7 |
135 | yolov3_adas_pruned_0_9 | 256x512 | 5.5 | 105.9 | 136.4 |
136 | yolov3_bdd | 288x512 | 53.7 | 13.8 | 14.3 |
137 | yolov3_coco_416_tf2 | 416x416 | 65.9 | 14.1 | 14.8 |
138 | yolov3_voc | 416x416 | 65.4 | 14.2 | 14.6 |
139 | yolov3_voc_tf | 416x416 | 65.6 | 14.4 | 14.9 |
140 | yolov4_leaky_416_tf | 416x416 | 60.3 | 14.4 | 15.4 |
141 | yolov4_leaky_512_tf | 512x512 | 91.2 | 11 | 11.7 |
142 | yolov4_leaky_spp_m | 416x416 | 60.1 | 14.6 | 15.6 |
143 | yolov4_leaky_spp_m_pruned_0_36 | 416x416 | 38.2 | 20.3 | 22 |