iPhone SE (2nd generation)
Geekbench AI Score
1457
Single Precision Score
2894
Half Precision Score
2360
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:26 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
802
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.4 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1345
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3344
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
5471
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (HP)
|
97% |
1561
124.3 IPS |
|
|
Object Detection (Q)
|
94% |
1144
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1674
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2258
17.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5045
39.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
3366
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4860
6.25 IPS |
|
|
Style Transfer (HP)
|
100% |
12282
15.8 IPS |
|
|
Style Transfer (Q)
|
96% |
10076
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1897
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2093
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2968
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2898
50.1 IPS |
