iPhone SE (3rd generation)
Geekbench AI Score
3340
Single Precision Score
5728
Half Precision Score
4644
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | April 11 2025 09:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2513
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6733
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
14390
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12227
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2770
220.5 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5841
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3302
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5551
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11265
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7712
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17968
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27049
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22527
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4643
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3478
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5863
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5875
101.5 IPS |
