| User | CatCat | 
| Upload Date | September 27 2025 09:22 PM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | Core ML | 
| Backend | Neural Engine | 
| Device | Apple M1 | 
| System Information | |
|---|---|
| Operating System | iOS 26.0 | 
| Model | iPad Pro (11-inch 3rd generation) | 
| Model ID | iPad13,4 | 
| Motherboard | J517AP | 
| CPU Information | |
|---|---|
| Name | Apple M1 | 
| Topology | 1 Processor, 8 Cores | 
| Identifier | ARM | 
| Base Frequency | 3.19 GHz | 
| Cluster 1 | 4 Cores | 
| Cluster 2 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 7.36 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
1315
 244.5 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
5886
 1.09 KIPS  | 
|
| 
Image Classification (Q)
 | 
96% | 
5568
 1.04 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
1309
 21.2 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
8854
 143.5 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
9063
 146.9 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
6016
 7.02 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
67704
 79.0 IPS  | 
|
| 
Pose Estimation (Q)
 | 
95% | 
64079
 75.1 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
1385
 109.9 IPS  | 
|
| 
Object Detection (HP)
 | 
99% | 
6373
 506.9 IPS  | 
|
| 
Object Detection (Q)
 | 
91% | 
6067
 484.8 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
2991
 35.5 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
12459
 148.0 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
11591
 137.7 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
5445
 42.0 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
42304
 325.9 IPS  | 
|
| 
Depth Estimation (Q)
 | 
85% | 
42800
 334.5 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
16461
 21.2 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
119000
 153.0 IPS  | 
|
| 
Style Transfer (Q)
 | 
96% | 
110726
 142.9 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
3514
 129.8 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
22845
 843.6 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
22585
 834.0 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2399
 3.20 KIPS  | 
|
| 
Text Classification (HP)
 | 
99% | 
4225
 5.64 KIPS  | 
|
| 
Text Classification (Q)
 | 
93% | 
4189
 5.62 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
2467
 42.5 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
2460
 42.4 IPS  | 
|
| 
Machine Translation (Q)
 | 
98% | 
2518
 43.5 IPS  |