iPhone SE (2nd generation)
Geekbench AI Score
925
Single Precision Score
1050
Half Precision Score
454
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
291
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
1278
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (Q)
|
94% |
209
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
276
3.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
2401
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2643
20.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
730
5.70 IPS |
|
|
Style Transfer (SP)
|
100% |
5857
7.53 IPS |
|
|
Style Transfer (HP)
|
100% |
5907
7.59 IPS |
|
|
Style Transfer (Q)
|
96% |
2070
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
432
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.9 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.1 IPS |
|
|
Text Classification (Q)
|
93% |
388
520.1 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.22 IPS |
