iPhone SE (2nd generation)
Geekbench AI Score
925
Single Precision Score
1091
Half Precision Score
486
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 09:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1351
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
94% |
224
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
2514
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2840
21.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
855
6.68 IPS |
|
|
Style Transfer (SP)
|
100% |
5981
7.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6514
8.37 IPS |
|
|
Style Transfer (Q)
|
96% |
2070
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
452
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.8 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.2 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.1 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
98% |
294
5.08 IPS |
