| User | dimajcc |
| Upload Date | October 10 2025 10:45 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
4693
872.8 IPS |
|
|
Image Classification (Q)
|
96% |
4847
905.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8160
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8911
144.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5421
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
65667
76.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
62088
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (HP)
|
99% |
6520
518.6 IPS |
|
|
Object Detection (Q)
|
91% |
5967
476.8 IPS |
|
|
Face Detection (SP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
14628
173.8 IPS |
|
|
Face Detection (Q)
|
100% |
12463
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4906
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40432
311.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
41015
320.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13709
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
108741
139.8 IPS |
|
|
Style Transfer (Q)
|
96% |
111226
143.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2902
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19808
731.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18387
678.9 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2295
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5360
92.6 IPS |