iPhone SE (3rd generation)
Geekbench AI Score
3228
Single Precision Score
5680
Half Precision Score
4594
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 10:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.4 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2432
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13930
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11664
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2680
213.3 IPS |
|
|
Object Detection (Q)
|
94% |
1905
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5485
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3096
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5228
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10409
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7268
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16965
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27434
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22430
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3576
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4311
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4200
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6262
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6301
108.9 IPS |
