iPhone SE (2nd generation)
Geekbench AI Score
906
Single Precision Score
1041
Half Precision Score
359
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
322
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.0 IPS |
|
|
Image Classification (Q)
|
97% |
183
34.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
198
3.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
1142
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
94% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
265
3.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
2392
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2633
20.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
716
5.59 IPS |
|
|
Style Transfer (SP)
|
100% |
5795
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
5795
7.45 IPS |
|
|
Style Transfer (Q)
|
96% |
2081
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
434
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.2 IPS |
|
|
Text Classification (HP)
|
100% |
414
552.1 IPS |
|
|
Text Classification (Q)
|
93% |
112
150.0 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
98% |
287
4.95 IPS |
