iPhone SE (2nd generation)
Geekbench AI Score
1666
Single Precision Score
3057
Half Precision Score
2541
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | John1984 |
| Upload Date | August 31 2025 06:15 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
804
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1356
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3632
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6603
7.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
5806
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1571
125.1 IPS |
|
|
Object Detection (Q)
|
94% |
1152
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1830
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2938
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5527
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4104
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7132
9.17 IPS |
|
|
Style Transfer (HP)
|
100% |
14413
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12187
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1965
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2021
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2192
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3126
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3122
54.0 IPS |
