| User | calvarybell |
| Upload Date | October 09 2025 03:55 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
3705
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10581
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18937
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16357
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
97% |
4126
328.5 IPS |
|
|
Object Detection (Q)
|
94% |
2824
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
8378
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4330
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13843
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9943
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24542
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37866
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31000
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5483
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5921
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5070
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9525
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9406
162.5 IPS |