iPhone SE (2nd generation)
Geekbench AI Score
910
Single Precision Score
1006
Half Precision Score
471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sso7746 |
| Upload Date | September 22 2025 03:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
97% |
191
35.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
311
5.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
1889
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
1254
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
94% |
268
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
346
4.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
2508
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2996
23.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
899
7.02 IPS |
|
|
Style Transfer (SP)
|
100% |
5918
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
5523
7.10 IPS |
|
|
Style Transfer (Q)
|
96% |
2090
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
438
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.9 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.7 IPS |
|
|
Text Classification (Q)
|
93% |
372
499.0 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (Q)
|
98% |
256
4.43 IPS |
