iPhone SE (3rd generation)
Geekbench AI Score
3138
Single Precision Score
5555
Half Precision Score
4506
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 12:19 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% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.0 IPS |
|
|
Image Classification (Q)
|
96% |
1628
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2402
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5945
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
13198
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11315
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2634
209.7 IPS |
|
|
Object Detection (Q)
|
94% |
1870
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2647
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3010
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5119
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10290
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7060
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15850
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26582
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21654
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3537
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4164
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6151
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6159
106.4 IPS |
