| User | tss6147 |
| Upload Date | February 01 2025 09:08 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| 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 | 3.59 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
97% |
689
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2018
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9343
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9197
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (Q)
|
91% |
1397
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7647
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8010
61.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6533
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16562
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19092
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
16957
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2888
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2385
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4128
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
98% |
355
6.14 IPS |