iPhone SE (2nd generation)
Geekbench AI Score
1597
Single Precision Score
3047
Half Precision Score
2453
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:56 PM |
| 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% |
808
150.3 IPS |
|
|
Image Classification (HP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1429
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5676
6.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
4797
5.62 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
97% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1138
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1719
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2818
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5707
44.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3959
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5624
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
13202
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10627
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2281
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2290
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3067
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3041
52.6 IPS |
