iPhone SE (2nd generation)
Geekbench AI Score
918
Single Precision Score
1075
Half Precision Score
469
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 07 2025 10:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
97% |
235
43.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
333
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
2238
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2578
3.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
1407
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
94% |
207
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
2499
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3009
23.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
710
5.54 IPS |
|
|
Style Transfer (SP)
|
100% |
5988
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
6188
7.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2061
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1185
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
433
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.3 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.6 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.0 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
98% |
291
5.03 IPS |
