iPhone SE (3rd generation)
Geekbench AI Score
3281
Single Precision Score
5755
Half Precision Score
4672
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 02:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1345
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.1 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14352
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11907
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2703
215.2 IPS |
|
|
Object Detection (Q)
|
94% |
1927
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5575
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5398
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10569
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17304
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27936
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22624
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4773
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3625
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4386
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4377
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6332
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6416
110.9 IPS |
