iPhone SE (2nd generation)
Geekbench AI Score
1126
Single Precision Score
3364
Half Precision Score
672
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 06:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
2620
487.3 IPS |
|
|
Image Classification (Q)
|
97% |
267
49.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
282
4.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2717
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
27317
31.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3224
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
2431
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
260
20.7 IPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
343
4.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1783
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23026
177.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
930
7.27 IPS |
|
|
Style Transfer (SP)
|
100% |
4785
6.15 IPS |
|
|
Style Transfer (HP)
|
100% |
9524
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3969
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
557
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.4 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.0 IPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
