iPhone SE (2nd generation)
Geekbench AI Score
1061
Single Precision Score
3378
Half Precision Score
655
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 10:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.7 IPS |
|
|
Image Classification (Q)
|
97% |
268
50.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
266
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
2455
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
27024
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2997
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (Q)
|
94% |
268
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
342
4.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1692
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23796
183.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
937
7.32 IPS |
|
|
Style Transfer (SP)
|
100% |
4629
5.95 IPS |
|
|
Style Transfer (HP)
|
100% |
9062
11.6 IPS |
|
|
Style Transfer (Q)
|
96% |
3916
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
527
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
445
593.8 IPS |
|
|
Text Classification (Q)
|
93% |
443
594.9 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
876
15.1 IPS |
