iPhone SE (2nd generation)
Geekbench AI Score
909
Single Precision Score
1064
Half Precision Score
471
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 07:43 PM |
| Views | 3 |
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% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
1255
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
94% |
246
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
310
3.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
2381
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2994
23.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
793
6.19 IPS |
|
|
Style Transfer (SP)
|
100% |
5622
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5949
7.65 IPS |
|
|
Style Transfer (Q)
|
96% |
2073
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
434
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.0 IPS |
|
|
Text Classification (HP)
|
100% |
395
526.6 IPS |
|
|
Text Classification (Q)
|
93% |
387
520.0 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (Q)
|
98% |
245
4.23 IPS |
