iPhone SE (3rd generation)
Geekbench AI Score
3276
Single Precision Score
5716
Half Precision Score
4639
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 05:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (Q)
|
96% |
1614
301.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14391
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11968
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
2692
214.3 IPS |
|
|
Object Detection (Q)
|
94% |
1917
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5570
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3112
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10375
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7311
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17270
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27801
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22824
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4703
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3610
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4358
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4262
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6328
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6415
110.9 IPS |
