iPhone SE (2nd generation)
Geekbench AI Score
1729
Single Precision Score
3120
Half Precision Score
2576
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1458
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3604
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
5762
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (HP)
|
97% |
1575
125.4 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1826
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3069
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5881
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4335
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7279
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
14386
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12142
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2143
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2267
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2256
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3092
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2944
50.9 IPS |
