iPhone SE (3rd generation)
Geekbench AI Score
2540
Single Precision Score
2807
Half Precision Score
2581
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 01:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
908
168.9 IPS |
|
|
Image Classification (HP)
|
100% |
843
156.7 IPS |
|
|
Image Classification (Q)
|
96% |
802
149.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1874
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7124
8.35 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
993
78.7 IPS |
|
|
Object Detection (Q)
|
92% |
732
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
3294
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6029
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6109
47.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
5891
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16715
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17780
22.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17779
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2959
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2715
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3288
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
1175
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (Q)
|
93% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
728
12.6 IPS |
