iPhone SE (2nd generation)
Geekbench AI Score
1622
Single Precision Score
3070
Half Precision Score
2592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 09:33 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
811
150.8 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5816
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1815
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2933
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5388
41.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4045
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7109
9.14 IPS |
|
|
Style Transfer (HP)
|
100% |
14398
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12082
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2553
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2056
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2624
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3218
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3183
55.0 IPS |
