iPhone SE (3rd generation)
Geekbench AI Score
2988
Single Precision Score
3307
Half Precision Score
3061
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
979
182.1 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.1 IPS |
|
|
Image Classification (Q)
|
96% |
876
163.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2228
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9281
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10374
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9975
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1119
88.8 IPS |
|
|
Object Detection (HP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (Q)
|
92% |
858
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
4059
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6776
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7829
60.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7091
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16656
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19213
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19084
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2864
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2986
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2562
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4258
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4219
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
729
12.6 IPS |
