User | Seele |
Upload Date | September 17 2025 06:06 PM |
Views | 4 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple A15 Bionic |
System Information | |
---|---|
Operating System | iOS 26.0 |
Model | iPhone 13 |
Model ID | iPhone14,5 |
Motherboard | D17AP |
CPU Information | |
---|---|
Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 3.58 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1271
236.3 IPS |
|
Image Classification (HP)
|
100% |
9194
1.71 KIPS |
|
Image Classification (Q)
|
96% |
10746
2.01 KIPS |
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
Image Segmentation (HP)
|
100% |
13379
216.9 IPS |
|
Image Segmentation (Q)
|
99% |
15113
245.0 IPS |
|
Pose Estimation (SP)
|
100% |
5847
6.82 IPS |
|
Pose Estimation (HP)
|
100% |
80820
94.3 IPS |
|
Pose Estimation (Q)
|
95% |
94282
110.5 IPS |
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
Object Detection (HP)
|
99% |
10829
861.4 IPS |
|
Object Detection (Q)
|
91% |
12006
959.3 IPS |
|
Face Detection (SP)
|
100% |
2720
32.3 IPS |
|
Face Detection (HP)
|
100% |
28481
338.4 IPS |
|
Face Detection (Q)
|
100% |
36104
429.0 IPS |
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
Depth Estimation (HP)
|
99% |
59724
460.1 IPS |
|
Depth Estimation (Q)
|
85% |
79031
617.6 IPS |
|
Style Transfer (SP)
|
100% |
16377
21.1 IPS |
|
Style Transfer (HP)
|
100% |
147851
190.1 IPS |
|
Style Transfer (Q)
|
96% |
139356
179.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
3547
131.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
28431
1.05 KIPS |
|
Image Super-Resolution (Q)
|
99% |
29643
1.09 KIPS |
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
Text Classification (HP)
|
100% |
2501
3.34 KIPS |
|
Text Classification (Q)
|
93% |
2469
3.31 KIPS |
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
Machine Translation (HP)
|
100% |
6698
115.4 IPS |
|
Machine Translation (Q)
|
98% |
7737
133.7 IPS |