iPhone SE (2nd generation)
Geekbench AI Score
1675
Single Precision Score
3112
Half Precision Score
2570
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | March 07 2025 03:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1462
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3548
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
5681
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.3 IPS |
|
|
Object Detection (HP)
|
97% |
1592
126.8 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1813
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3031
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5888
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4294
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7067
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
13728
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11987
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2689
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2096
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3203
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3158
54.6 IPS |
