iPhone SE (2nd generation)
Geekbench AI Score
912
Single Precision Score
3033
Half Precision Score
553
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
481
89.4 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
97% |
203
37.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
212
3.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1886
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
23083
26.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2627
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (Q)
|
94% |
225
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
6084
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
275
3.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
1326
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20420
157.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
821
6.42 IPS |
|
|
Style Transfer (SP)
|
100% |
3660
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
7905
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3260
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4145
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.0 IPS |
|
|
Text Classification (Q)
|
93% |
431
578.6 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
