| Upload Date | November 12 2025 06:26 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4263
792.9 IPS |
|
|
Image Classification (HP)
|
100% |
7990
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7584
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6042
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9472
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10451
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20060
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53134
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57338
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
4354
345.4 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8029
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
11474
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
22802
270.9 IPS |
|
|
Face Detection (Q)
|
100% |
17651
209.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17759
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34918
269.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37989
296.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43147
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93821
120.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119029
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10400
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19047
703.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22299
823.4 IPS |
|
|
Text Classification (SP)
|
100% |
3458
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5013
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4767
82.4 IPS |