iPhone SE (2nd generation)
Geekbench AI Score
1110
Single Precision Score
3486
Half Precision Score
686
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 1Dnepr |
| Upload Date | April 12 2025 11:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2878
535.2 IPS |
|
|
Image Classification (Q)
|
97% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
24313
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3265
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
2527
200.4 IPS |
|
|
Object Detection (Q)
|
94% |
263
20.9 IPS |
|
|
Face Detection (SP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
7141
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
342
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
1643
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21642
166.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
938
7.32 IPS |
|
|
Style Transfer (SP)
|
100% |
4607
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
10120
13.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4177
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4564
168.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
575
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
744
992.7 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.2 IPS |
|
|
Text Classification (Q)
|
93% |
432
580.4 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
