iPhone SE (2nd generation)
Geekbench AI Score
888
Single Precision Score
1044
Half Precision Score
451
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 02:05 PM |
| Views | 8 |
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% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
332
5.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
2162
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2512
2.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
1323
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
94% |
212
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
275
3.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
2379
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3219
24.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
733
5.72 IPS |
|
|
Style Transfer (SP)
|
100% |
5840
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
6127
7.88 IPS |
|
|
Style Transfer (Q)
|
96% |
2052
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
432
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.5 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.2 IPS |
|
|
Text Classification (Q)
|
93% |
385
516.8 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.93 IPS |
