目标检测

性能

Device	Model	输入尺寸	类别数	单线程延迟(ms)	单线程FPS	12线程延迟(ms)	12线程FPS	CPU延迟(ms)	参数量(M)	FLOPs(B)	GitHub仓库
S600	YOLO11l Detect	640×640	80	3.229	307.877	9.113	1277.270	2.0	25.3 M	86.9 M	GitHub
S600	YOLO11m Detect	640×640	80	2.584	384.284	7.054	1642.643	2.0	20.1 M	68.0 M	GitHub
S600	YOLO11n Detect	640×640	80	0.800	1221.628	1.798	6142.695	2.0	2.6 M	6.5 M	GitHub
S600	YOLO11s Detect	640×640	80	1.204	817.752	3.008	3761.944	2.0	9.4 M	21.5 M	GitHub
S600	YOLO11x Detect	640×640	80	6.543	152.382	18.792	622.258	2.0	56.9 M	194.9 M	GitHub
S600	YOLO12l Detect	640×640	80	6.296	158.364	19.661	595.057	2.0	26.4 M	88.9 M	GitHub
S600	YOLO12m Detect	640×640	80	4.027	247.181	12.026	969.575	2.0	20.2 M	67.5 M	GitHub
S600	YOLO12n Detect	640×640	80	1.207	819.555	2.986	3779.575	2.0	2.6 M	7.7 M	GitHub
S600	YOLO12s Detect	640×640	80	1.957	505.866	5.155	2235.861	2.0	9.3 M	21.4 M	GitHub
S600	YOLO12x Detect	640×640	80	11.073	90.110	35.574	329.594	2.0	59.1 M	199.0 M	GitHub
S600	YOLOv10b Detect	640×640	80	2.972	334.349	8.042	1442.637	2.0	19.1 M	92.0 M	GitHub
S600	YOLOv10l Detect	640×640	80	3.723	267.232	10.360	1123.873	2.0	24.4 M	120.3 M	GitHub
S600	YOLOv10m Detect	640×640	80	2.342	423.743	6.201	1867.309	2.0	15.4 M	59.1 M	GitHub
S600	YOLOv10n Detect	640×640	80	0.781	1251.157	1.690	6457.445	2.0	2.3 M	6.7 M	GitHub
S600	YOLOv10s Detect	640×640	80	1.166	847.781	2.802	4025.117	2.0	7.2 M	21.6 M	GitHub
S600	YOLOv10x Detect	640×640	80	5.314	187.525	15.173	769.177	2.0	29.5 M	160.4 M	GitHub
S600	YOLOv5lu Detect	640×640	80	3.980	250.292	11.117	1048.306	2.0	53.2 M	135.0 M	GitHub
S600	YOLOv5mu Detect	640×640	80	2.240	442.539	5.935	1941.804	2.0	25.1 M	64.2 M	GitHub
S600	YOLOv5nu Detect	640×640	80	0.719	1355.583	1.528	7182.102	2.0	2.6 M	7.7 M	GitHub
S600	YOLOv5su Detect	640×640	80	1.096	898.017	2.656	4213.542	2.0	9.1 M	24.0 M	GitHub
S600	YOLOv5xu Detect	640×640	80	7.333	136.001	21.084	554.451	2.0	97.2 M	246.4 M	GitHub
S600	YOLOv8l Detect	640×640	80	4.514	220.583	12.603	924.740	2.0	43.7 M	165.2 M	GitHub
S600	YOLOv8m Detect	640×640	80	2.677	371.027	7.180	1614.922	2.0	25.9 M	78.9 M	GitHub
S600	YOLOv8n Detect	640×640	80	0.776	1258.503	1.674	6512.325	2.0	3.2 M	8.7 M	GitHub
S600	YOLOv8s Detect	640×640	80	1.223	805.412	2.934	3839.066	2.0	11.2 M	28.6 M	GitHub
S600	YOLOv8x Detect	640×640	80	7.210	138.386	20.629	567.201	2.0	68.2 M	257.8 M	GitHub
S600	YOLOv9c Detect	640×640	80	3.149	316.157	8.773	1325.812	2.0	25.3 M	102.7 M	GitHub
S600	YOLOv9e Detect	640×640	80	8.560	116.557	31.421	372.969	2.0	57.4 M	189.5 M	GitHub
S600	YOLOv9m Detect	640×640	80	2.747	361.925	7.518	1541.699	2.0	20.1 M	76.8 M	GitHub
S600	YOLOv9s Detect	640×640	80	1.468	672.601	3.911	2921.499	2.0	7.2 M	26.9 M	GitHub
S600	YOLO26n Detect	640x640	80	0.83	1170.57	1.85	6023.19	-	2.57	6.1	GitHub
S600	YOLO26s Detect	640x640	80	1.27	780.57	3.17	3576.09	-	10.01	22.8	GitHub
S600	YOLO26m Detect	640x640	80	2.61	380.65	7.19	1612.92	-	21.90	75.4	GitHub
S600	YOLO26l Detect	640x640	80	3.21	309.74	9.02	1291.03	-	26.30	93.8	GitHub
S600	YOLO26x Detect	640x640	80	6.57	151.87	19.20	609.19	-	58.99	209.5	GitHub
S600	YOLO26n Obb	640x640	15	0.79	1230.91	1.65	6496.46	-	2.65	6.3	GitHub
S600	YOLO26s Obb	640x640	15	1.26	784.60	3.11	3610.24	-	10.53	24.5	GitHub
S600	YOLO26m Obb	640x640	15	2.66	372.64	7.21	1601.00	-	23.49	82.2	GitHub
S600	YOLO26l Obb	640x640	15	3.27	304.08	9.15	1266.96	-	27.90	100.6	GitHub
S600	YOLO26x Obb	640x640	15	6.73	148.08	19.31	604.86	-	62.66	225.3	GitHub

精度

Device	Model	bbox-all FP32 / BPU	bbox-small FP32 / BPU	bbox-medium FP32 / BPU	bbox-large FP32 / BPU
S600	YOLO12n Detect	0.338 / 0.320 (94.7 %)	0.128 / 0.104 (81.3 %)	0.374 / 0.350 (93.6 %)	0.524 / 0.514 (98.1 %)
S600	YOLO12s Detect	0.403 / 0.385 (95.5 %)	0.201 / 0.158 (78.6 %)	0.450 / 0.436 (96.9 %)	0.602 / 0.586 (97.3 %)
S600	YOLO12m Detect	0.452 / 0.436 (96.5 %)	0.251 / 0.228 (90.8 %)	0.509 / 0.497 (97.6 %)	0.638 / 0.626 (98.1 %)
S600	YOLO12l Detect	0.463 / 0.441 (95.2 %)	0.268 / 0.226 (84.3 %)	0.522 / 0.505 (96.7 %)	0.646 / 0.640 (99.1 %)
S600	YOLO12x Detect	0.475 / 0.455 (95.8 %)	0.276 / 0.238 (86.2 %)	0.536 / 0.527 (98.3 %)	0.659 / 0.618 (93.8 %)
S600	YOLO11s Detect	0.400 / 0.382 (95.5 %)	0.198 / 0.165 (83.3 %)	0.445 / 0.430 (96.6 %)	0.587 / 0.586 (99.8 %)
S600	YOLO11m Detect	0.444 / 0.429 (96.6 %)	0.247 / 0.220 (89.1 %)	0.497 / 0.488 (98.2 %)	0.627 / 0.610 (97.3 %)
S600	YOLO11l Detect	0.460 / 0.448 (97.4 %)	0.267 / 0.238 (89.1 %)	0.520 / 0.514 (98.8 %)	0.638 / 0.622 (97.5 %)
S600	YOLO11x Detect	0.474 / 0.457 (96.4 %)	0.283 / 0.244 (86.2 %)	0.529 / 0.517 (97.7 %)	0.652 / 0.639 (98.0 %)
S600	YOLOv10n Detect	0.303 / 0.285 (94.1 %)	0.099 / 0.075 (75.8 %)	0.330 / 0.306 (92.7 %)	0.478 / 0.469 (98.1 %)
S600	YOLOv10s Detect	0.386 / 0.363 (94.0 %)	0.175 / 0.144 (82.3 %)	0.434 / 0.410 (94.5 %)	0.574 / 0.528 (92.0 %)
S600	YOLOv10m Detect	0.425 / 0.389 (91.5 %)	0.221 / 0.202 (91.4 %)	0.481 / 0.450 (93.6 %)	0.603 / 0.505 (83.7 %)
S600	YOLOv10b Detect	0.443 / 0.388 (87.6 %)	0.242 / 0.189 (78.1 %)	0.498 / 0.447 (89.8 %)	0.618 / 0.496 (80.3 %)
S600	YOLOv10l Detect	0.445 / 0.392 (88.1 %)	0.258 / 0.215 (83.3 %)	0.498 / 0.463 (93.0 %)	0.626 / 0.492 (78.6 %)
S600	YOLOv10x Detect	0.459 / 0.424 (92.4 %)	0.258 / 0.228 (88.4 %)	0.518 / 0.490 (94.6 %)	0.639 / 0.546 (85.4 %)
S600	YOLOv9s Detect	0.400 / 0.387 (96.8 %)	0.191 / 0.169 (88.5 %)	0.444 / 0.433 (97.5 %)	0.583 / 0.564 (96.7 %)
S600	YOLOv9m Detect	0.449 / 0.441 (98.2 %)	0.253 / 0.232 (91.7 %)	0.504 / 0.496 (98.4 %)	0.617 / 0.611 (99.0 %)
S600	YOLOv9c Detect	0.461 / 0.451 (97.8 %)	0.269 / 0.251 (93.3 %)	0.512 / 0.509 (99.4 %)	0.640 / 0.612 (95.6 %)
S600	YOLOv9e Detect	0.481 / 0.470 (97.7 %)	0.298 / 0.273 (91.6 %)	0.538 / 0.525 (97.6 %)	0.662 / 0.650 (98.2 %)
S600	YOLOv8s Detect	0.391 / 0.376 (96.2 %)	0.195 / 0.169 (86.7 %)	0.437 / 0.423 (96.8 %)	0.566 / 0.558 (98.6 %)
S600	YOLOv8m Detect	0.441 / 0.429 (97.3 %)	0.249 / 0.222 (89.2 %)	0.494 / 0.486 (98.4 %)	0.618 / 0.607 (98.2 %)
S600	YOLOv8l Detect	0.461 / 0.448 (97.2 %)	0.271 / 0.245 (90.4 %)	0.516 / 0.505 (97.9 %)	0.651 / 0.642 (98.6 %)
S600	YOLOv8x Detect	0.474 / 0.459 (96.8 %)	0.280 / 0.253 (90.4 %)	0.527 / 0.516 (97.9 %)	0.658 / 0.647 (98.3 %)
S600	YOLOv5nu Detect	0.278 / 0.269 (96.8 %)	0.093 / 0.083 (89.2 %)	0.309 / 0.296 (95.8 %)	0.417 / 0.412 (98.8 %)
S600	YOLOv5su Detect	0.367 / 0.355 (96.7 %)	0.169 / 0.140 (82.8 %)	0.416 / 0.406 (97.6 %)	0.530 / 0.531 (100.2 %)
S600	YOLOv5mu Detect	0.425 / 0.415 (97.6 %)	0.226 / 0.207 (91.6 %)	0.477 / 0.470 (98.5 %)	0.603 / 0.604 (100.2 %)
S600	YOLOv5lu Detect	0.458 / 0.451 (98.5 %)	0.260 / 0.238 (91.5 %)	0.516 / 0.511 (99.0 %)	0.641 / 0.637 (99.4 %)
S600	YOLOv5xu Detect	0.466 / 0.454 (97.4 %)	0.281 / 0.246 (87.5 %)	0.523 / 0.517 (98.9 %)	0.645 / 0.647 (100.3 %)
S600	YOLO26n Detect	0.319 / 0.285 (89.3 %)	0.107 / 0.080 (74.8 %)	0.349 / 0.304 (87.1 %)	0.508 / 0.460 (90.6 %)
S600	YOLO26s Detect	0.395 / 0.368 (93.2 %)	0.183 / 0.172 (94.0 %)	0.440 / 0.414 (94.1 %)	0.583 / 0.526 (90.2 %)
S600	YOLO26m Detect	0.442 / 0.417 (94.3 %)	0.242 / 0.211 (87.2 %)	0.489 / 0.460 (94.1 %)	0.629 / 0.600 (95.4 %)
S600	YOLO26l Detect	0.456 / 0.429 (94.1 %)	0.260 / 0.222 (85.4 %)	0.499 / 0.473 (94.8 %)	0.627 / 0.610 (97.3 %)
S600	YOLO26x Detect	0.484 / 0.452 (93.4 %)	0.292 / 0.246 (84.2 %)	0.528 / 0.490 (92.8 %)	0.669 / 0.645 (96.4 %)