iPhone SE (3rd generation)
Geekbench AI Score
2931
Single Precision Score
3112
Half Precision Score
3146
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
690
128.3 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.4 IPS |
|
|
Image Classification (Q)
|
96% |
902
168.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2290
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10430
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10095
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
92% |
926
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
4079
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6772
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6484
50.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6206
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16528
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19468
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19352
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2883
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3001
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2747
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
2521
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4079
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
898
15.5 IPS |
