iPhone SE (2nd generation)
Geekbench AI Score
1701
Single Precision Score
3081
Half Precision Score
2556
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 11:46 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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (Q)
|
96% |
964
180.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1441
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6181
7.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
5584
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
97% |
1560
124.2 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1816
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3001
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5867
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4243
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6910
8.88 IPS |
|
|
Style Transfer (HP)
|
100% |
14152
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11827
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2155
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2271
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3034
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3023
52.2 IPS |
