| User | brianl831 |
| Upload Date | January 31 2026 11:06 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| Model | iPhone XR |
| Model ID | iPhone11,8 |
| Motherboard | N841AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.77 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
110
1.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
22160
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
513
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (Q)
|
94% |
171
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (HP)
|
100% |
5204
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
176
2.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
19844
152.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
358
2.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1219
1.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1273
1.64 IPS |
|
|
Style Transfer (Q)
|
96% |
1077
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
437
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.8 IPS |
|
|
Text Classification (HP)
|
100% |
297
397.0 IPS |
|
|
Text Classification (Q)
|
93% |
316
424.1 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
98% |
275
4.75 IPS |