iPhone SE (2nd generation)
Geekbench AI Score
917
Single Precision Score
1764
Half Precision Score
1478
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 09:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.1 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
742
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1828
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3687
4.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
3356
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
97% |
875
69.7 IPS |
|
|
Object Detection (Q)
|
94% |
652
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (Q)
|
100% |
1054
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1667
12.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3192
24.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
2411
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4025
5.17 IPS |
|
|
Style Transfer (HP)
|
100% |
8484
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
7236
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1683
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1293
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (Q)
|
93% |
1363
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1777
30.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1775
30.7 IPS |
