iPhone SE (3rd generation)
Geekbench AI Score
2134
Single Precision Score
2407
Half Precision Score
830
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | September 24 2025 07:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
508
94.4 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.4 IPS |
|
|
Image Classification (Q)
|
97% |
646
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1957
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9159
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9937
11.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
9005
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (Q)
|
92% |
752
60.0 IPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
3089
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6172
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6530
50.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16480
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18986
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17441
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2401
88.6 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.2 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.3 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.3 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.71 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
697
12.1 IPS |
