iPhone SE (2nd generation)
Geekbench AI Score
1140
Single Precision Score
3514
Half Precision Score
698
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Zedd |
| Upload Date | March 20 2025 06:42 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
563
104.6 IPS |
|
|
Image Classification (HP)
|
100% |
2902
539.7 IPS |
|
|
Image Classification (Q)
|
97% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
3114
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
28779
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3492
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (HP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (Q)
|
94% |
274
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
6842
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
345
4.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
1704
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21587
166.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
941
7.35 IPS |
|
|
Style Transfer (SP)
|
100% |
4501
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
9621
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4072
5.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4363
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
569
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.9 IPS |
|
|
Text Classification (Q)
|
93% |
451
604.9 IPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
981
17.0 IPS |
