iPhone SE (2nd generation)
Geekbench AI Score
1692
Single Precision Score
3151
Half Precision Score
2590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 05:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
807
150.0 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1375
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3604
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
5754
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (HP)
|
97% |
1602
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1128
89.9 IPS |
|
|
Face Detection (SP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1858
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2930
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5886
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4244
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7060
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
14402
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11930
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2862
105.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2085
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (HP)
|
99% |
2650
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2513
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3046
52.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3142
54.3 IPS |
