iPhone SE (2nd generation)
Geekbench AI Score
1740
Single Precision Score
3124
Half Precision Score
2590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:36 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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
5789
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (HP)
|
97% |
1614
128.5 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1857
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3080
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5885
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4323
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7205
9.26 IPS |
|
|
Style Transfer (HP)
|
100% |
14286
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12036
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2154
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
99% |
2324
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2975
51.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2996
51.8 IPS |
