iPhone SE (2nd generation)
Geekbench AI Score
1665
Single Precision Score
3066
Half Precision Score
2550
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 02:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
802
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1360
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6571
7.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
5790
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
718
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1566
124.6 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1832
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2972
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5413
41.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4078
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7184
9.23 IPS |
|
|
Style Transfer (HP)
|
100% |
14446
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12143
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2558
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2060
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3234
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3221
55.7 IPS |
