iPhone SE (2nd generation)
Geekbench AI Score
1512
Single Precision Score
2794
Half Precision Score
2373
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 07 2025 10:48 AM |
| Views | 5 |
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% |
790
146.8 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1314
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3068
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4965
5.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
4627
5.42 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (HP)
|
97% |
1537
122.4 IPS |
|
|
Object Detection (Q)
|
94% |
1105
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (Q)
|
100% |
1604
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2308
17.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3379
26.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3496
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5594
7.19 IPS |
|
|
Style Transfer (HP)
|
100% |
13402
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11292
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2577
95.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1990
73.5 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3065
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3124
54.0 IPS |
