iPhone SE (2nd generation)
Geekbench AI Score
909
Single Precision Score
1099
Half Precision Score
503
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 09 2025 11:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
288
53.5 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3143
3.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
1264
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
94% |
286
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
356
4.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
2431
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3168
24.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
892
6.96 IPS |
|
|
Style Transfer (SP)
|
100% |
5959
7.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6456
8.30 IPS |
|
|
Style Transfer (Q)
|
96% |
2121
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
452
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.7 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.3 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.5 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.09 IPS |
|
|
Machine Translation (Q)
|
98% |
283
4.89 IPS |
