Object Detection

Performance

Device	Model	Input Size	Number of Classes	Single Thread Latency(ms)	Single Thread FPS	12 Threads Latency(ms)	12 Threads FPS	CPU Latency(ms)	Number of Parameters(M)	FLOPs(B)	GitHub Repository
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

Accuracy

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 %)