iPhone SE (3rd generation)
Geekbench AI Score
2914
Single Precision Score
2983
Half Precision Score
3071
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | July 01 2025 10:42 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% |
806
149.8 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.5 IPS |
|
|
Image Classification (Q)
|
96% |
565
105.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9268
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10343
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9984
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (Q)
|
92% |
1518
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6830
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6808
52.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6603
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16744
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19736
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19129
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2958
109.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2566
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4234
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4196
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
729
12.6 IPS |
