iPhone SE (3rd generation)
Geekbench AI Score
3286
Single Precision Score
20312
Half Precision Score
23045
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:35 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1352
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8198
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
10854
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12574
203.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14404
233.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
93715
109.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
96210
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
99% |
10562
840.2 IPS |
|
|
Object Detection (Q)
|
91% |
12153
971.1 IPS |
|
|
Face Detection (SP)
|
100% |
2780
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
29127
346.1 IPS |
|
|
Face Detection (Q)
|
100% |
35515
422.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55924
430.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
76566
598.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17054
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
167446
215.3 IPS |
|
|
Style Transfer (Q)
|
96% |
167987
216.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27718
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28508
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7130
123.2 IPS |
