iPhone SE (3rd generation)
Geekbench AI Score
3152
Single Precision Score
5517
Half Precision Score
4465
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:22 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2399
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
13008
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11080
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
2550
203.0 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5275
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
2945
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5066
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10249
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7086
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15984
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26545
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21167
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3655
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3533
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4258
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4218
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5932
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6120
105.8 IPS |
