iPhone SE (2nd generation)
Geekbench AI Score
1330
Single Precision Score
2685
Half Precision Score
2310
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 07:15 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
785
145.9 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1345
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5972
6.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
5363
6.29 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (HP)
|
97% |
1551
123.5 IPS |
|
|
Object Detection (Q)
|
94% |
1138
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1675
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2253
17.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
2667
20.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
2882
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1839
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
10222
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
8925
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1905
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3043
52.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2982
51.5 IPS |
