iPhone SE (2nd generation)
Geekbench AI Score
1520
Single Precision Score
2959
Half Precision Score
2350
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:29 AM |
| 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% |
795
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (Q)
|
96% |
969
180.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5675
6.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
5042
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (HP)
|
97% |
1567
124.8 IPS |
|
|
Object Detection (Q)
|
94% |
1096
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
1545
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2357
18.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5356
41.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
3598
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5109
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
12537
16.1 IPS |
|
|
Style Transfer (Q)
|
96% |
10183
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1999
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2242
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2262
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3051
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2947
50.9 IPS |
