iPhone SE (2nd generation)
Geekbench AI Score
1706
Single Precision Score
3080
Half Precision Score
2574
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
798
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3644
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
5801
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
97% |
1564
124.5 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1774
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3011
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5860
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4289
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7259
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
14083
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12031
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2153
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2271
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2339
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2927
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2959
51.1 IPS |
