iPhone SE (2nd generation)
Geekbench AI Score
804
Single Precision Score
929
Half Precision Score
417
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
294
54.7 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
332
5.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
2097
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2504
2.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
1236
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.3 IPS |
|
|
Object Detection (Q)
|
94% |
153
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
1781
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1872
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2266
17.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
657
5.13 IPS |
|
|
Style Transfer (SP)
|
100% |
5786
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
5411
6.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2041
2.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.9 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.7 IPS |
|
|
Text Classification (Q)
|
93% |
383
514.4 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
98% |
219
3.79 IPS |
