iPhone SE (2nd generation)
Geekbench AI Score
967
Single Precision Score
3237
Half Precision Score
568
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | smajor |
| Upload Date | July 14 2025 12:49 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
526
97.9 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.3 IPS |
|
|
Image Classification (Q)
|
97% |
248
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
25125
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
2173
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (Q)
|
94% |
215
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
6318
75.1 IPS |
|
|
Face Detection (Q)
|
100% |
218
2.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1225
9.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
19893
153.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
781
6.10 IPS |
|
|
Style Transfer (SP)
|
100% |
3692
4.75 IPS |
|
|
Style Transfer (HP)
|
100% |
8250
10.6 IPS |
|
|
Style Transfer (Q)
|
96% |
3372
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4145
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
442
589.5 IPS |
|
|
Text Classification (Q)
|
93% |
436
585.6 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
885
15.3 IPS |
