iPhone SE (3rd generation)
Geekbench AI Score
2830
Single Precision Score
3024
Half Precision Score
2982
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | September 29 2025 05:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2223
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9329
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10387
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9787
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (HP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (Q)
|
92% |
917
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
4103
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6679
51.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6397
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15735
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16045
20.6 IPS |
|
|
Style Transfer (Q)
|
96% |
15268
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2986
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2707
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
737
12.7 IPS |
