iPhone SE (3rd generation)
Geekbench AI Score
2903
Single Precision Score
3185
Half Precision Score
3006
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | markerichannelly |
| Upload Date | July 09 2025 05:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
795
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
564
104.8 IPS |
|
|
Image Classification (Q)
|
96% |
829
154.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2202
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9258
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10289
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9993
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
92% |
856
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3924
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6738
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7778
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6408
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19668
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18505
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2809
103.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2655
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4225
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4262
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
