iPhone SE (3rd generation)
Geekbench AI Score
2890
Single Precision Score
3146
Half Precision Score
3002
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:25 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
578
107.6 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.6 IPS |
|
|
Image Classification (Q)
|
96% |
550
102.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2250
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9109
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10342
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9875
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (HP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (Q)
|
92% |
785
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
3776
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7581
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6673
51.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6473
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16477
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19437
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18902
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3798
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
2574
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
872
15.1 IPS |
