iPhone SE (3rd generation)
Geekbench AI Score
3261
Single Precision Score
5718
Half Precision Score
4635
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | July 01 2025 10:34 PM |
| Views | 9 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14367
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11806
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2692
214.3 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5553
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10538
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7337
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17044
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27739
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22627
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3608
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4265
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4252
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6349
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6355
109.8 IPS |
