iPhone SE (2nd generation)
Geekbench AI Score
1721
Single Precision Score
3114
Half Precision Score
2576
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
799
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.5 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1463
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6649
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5911
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
97% |
1571
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1660
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5885
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4227
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6927
8.90 IPS |
|
|
Style Transfer (HP)
|
100% |
14101
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11770
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2714
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2161
79.8 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2210
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2193
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3078
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3062
52.9 IPS |
