iPhone SE (3rd generation)
Geekbench AI Score
1506
Single Precision Score
2656
Half Precision Score
2148
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 01:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
96% |
723
135.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1146
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2751
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
5512
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
97% |
1195
95.2 IPS |
|
|
Object Detection (Q)
|
94% |
862
68.7 IPS |
|
|
Face Detection (SP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (Q)
|
100% |
1442
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2294
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4687
36.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3212
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7698
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
12173
15.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10096
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1652
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2084
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2076
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3390
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3325
57.5 IPS |
