iPhone SE (3rd generation)
Geekbench AI Score
3016
Single Precision Score
3475
Half Precision Score
3226
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Foclyde |
| Upload Date | January 31 2026 11:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
996
185.3 IPS |
|
|
Image Classification (Q)
|
94% |
884
165.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2256
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9128
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10225
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9842
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1129
89.5 IPS |
|
|
Object Detection (HP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (Q)
|
91% |
855
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
5590
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
5016
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7624
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8261
63.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7654
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16593
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19453
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18765
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2500
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
