| User | cheltenham |
| Upload Date | October 31 2024 11:00 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3640
676.9 IPS |
|
|
Image Classification (HP)
|
100% |
3640
677.0 IPS |
|
|
Image Classification (Q)
|
97% |
2976
555.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4061
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5031
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5104
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24745
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26336
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24586
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3679
291.9 IPS |
|
|
Object Detection (HP)
|
100% |
3722
295.2 IPS |
|
|
Object Detection (Q)
|
91% |
3054
244.1 IPS |
|
|
Face Detection (SP)
|
100% |
10419
123.8 IPS |
|
|
Face Detection (HP)
|
100% |
11968
142.2 IPS |
|
|
Face Detection (Q)
|
100% |
8435
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16882
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17893
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14655
114.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42933
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48586
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45446
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9758
360.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10149
374.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7973
294.4 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3653
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3637
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1268
21.9 IPS |