iPhone SE (3rd generation)
Geekbench AI Score
3207
Single Precision Score
5568
Half Precision Score
4486
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | evariste |
| Upload Date | February 26 2025 02:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6163
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
13556
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11304
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2687
213.9 IPS |
|
|
Object Detection (Q)
|
94% |
1889
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2699
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5576
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3134
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10919
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7461
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17192
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26548
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21837
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3395
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4079
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5597
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5553
96.0 IPS |
