iPhone SE (3rd generation)
Geekbench AI Score
3182
Single Precision Score
5654
Half Precision Score
4580
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MrTom |
| Upload Date | August 29 2025 08:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
2371
440.9 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2432
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
13627
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11306
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
97% |
2668
212.4 IPS |
|
|
Object Detection (Q)
|
94% |
1875
149.4 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5453
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5253
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10437
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7218
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16144
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27119
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22031
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4708
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3571
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4307
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4354
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6270
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6348
109.7 IPS |
