iPhone SE (2nd generation)
Geekbench AI Score
1682
Single Precision Score
3122
Half Precision Score
2540
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 09:19 PM |
| Views | 6 |
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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1411
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3459
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6247
7.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
5348
6.27 IPS |
|
|
Object Detection (SP)
|
100% |
775
61.4 IPS |
|
|
Object Detection (HP)
|
97% |
1595
127.0 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (Q)
|
100% |
1633
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5739
44.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
3951
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6583
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
13763
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11661
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2159
79.7 IPS |
|
|
Text Classification (SP)
|
100% |
1569
2.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2332
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2525
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3148
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3168
54.8 IPS |
