iPhone SE (3rd generation)
Geekbench AI Score
2966
Single Precision Score
4437
Half Precision Score
3822
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | September 24 2025 07:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.6 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1689
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5825
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13234
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11280
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2114
168.3 IPS |
|
|
Object Detection (Q)
|
94% |
1604
127.9 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
2528
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7987
61.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5949
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16030
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24807
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20885
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3489
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4608
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3395
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4295
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4319
74.6 IPS |
