iPhone SE (3rd generation)
Geekbench AI Score
2930
Single Precision Score
3254
Half Precision Score
3078
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 02:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
96% |
904
168.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2246
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9268
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10368
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10011
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (Q)
|
92% |
924
73.8 IPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
4982
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
3961
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7475
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6881
53.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6341
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16449
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19346
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18880
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2675
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
819
14.1 IPS |
