iPhone SE (2nd generation)
Geekbench AI Score
1677
Single Precision Score
3089
Half Precision Score
2425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
800
148.7 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1441
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
3533
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (HP)
|
97% |
1529
121.7 IPS |
|
|
Object Detection (Q)
|
94% |
1078
85.9 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1742
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2879
22.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5816
45.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4235
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6769
8.70 IPS |
|
|
Style Transfer (HP)
|
100% |
14195
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12001
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2149
79.4 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2267
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2257
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3052
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3029
52.4 IPS |
