iPhone SE (2nd generation)
Geekbench AI Score
1718
Single Precision Score
3118
Half Precision Score
2567
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
795
147.9 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.0 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3536
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
5741
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
97% |
1578
125.6 IPS |
|
|
Object Detection (Q)
|
94% |
1132
90.2 IPS |
|
|
Face Detection (SP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1775
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3013
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5821
45.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4255
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7197
9.25 IPS |
|
|
Style Transfer (HP)
|
100% |
14264
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11716
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2163
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2263
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2247
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3068
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3100
53.6 IPS |
