iPhone SE (2nd generation)
Geekbench AI Score
874
Single Precision Score
1029
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | March 07 2025 04:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
336
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1880
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2793
3.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
1280
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (Q)
|
94% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
2479
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2623
20.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
744
5.81 IPS |
|
|
Style Transfer (SP)
|
100% |
5853
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5667
7.29 IPS |
|
|
Style Transfer (Q)
|
96% |
2066
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
433
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.5 IPS |
|
|
Text Classification (HP)
|
100% |
412
550.1 IPS |
|
|
Text Classification (Q)
|
93% |
386
517.7 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
98% |
225
3.88 IPS |
