iPhone SE (2nd generation)
Geekbench AI Score
891
Single Precision Score
1047
Half Precision Score
484
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 08:03 PM |
| Views | 2 |
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% |
286
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.6 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
330
5.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2496
2.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
1291
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
94% |
279
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (Q)
|
100% |
332
3.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
2412
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2948
22.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
841
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
5237
6.73 IPS |
|
|
Style Transfer (HP)
|
100% |
6290
8.09 IPS |
|
|
Style Transfer (Q)
|
96% |
2085
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1147
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
439
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.2 IPS |
|
|
Text Classification (HP)
|
100% |
395
527.3 IPS |
|
|
Text Classification (Q)
|
93% |
392
525.4 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
98% |
250
4.32 IPS |
