iPhone SE (3rd generation)
Geekbench AI Score
2609
Single Precision Score
4980
Half Precision Score
4064
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:15 PM |
| Views | 3 |
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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.6 IPS |
|
|
Image Classification (Q)
|
96% |
1613
301.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2287
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5552
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
10673
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8891
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
97% |
1358
108.1 IPS |
|
|
Object Detection (Q)
|
94% |
1262
100.6 IPS |
|
|
Face Detection (SP)
|
100% |
1866
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
5044
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
2606
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4687
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9697
75.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6656
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14392
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25790
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20455
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3465
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4216
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4202
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5710
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5757
99.5 IPS |
