iPhone SE (2nd generation)
Geekbench AI Score
1700
Single Precision Score
3087
Half Precision Score
2584
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1459
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3544
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
5786
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1663
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1846
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3100
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5864
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4346
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7339
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
14387
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12137
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2156
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2271
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2256
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2750
47.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2958
51.1 IPS |
