iPhone SE (3rd generation)
Geekbench AI Score
3223
Single Precision Score
18757
Half Precision Score
22449
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 01:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
7913
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9328
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12147
196.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15214
246.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6169
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
86131
100.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
96292
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
10490
834.5 IPS |
|
|
Object Detection (Q)
|
91% |
11927
953.0 IPS |
|
|
Face Detection (SP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
28698
341.0 IPS |
|
|
Face Detection (Q)
|
100% |
35559
422.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5135
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56067
432.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
77764
607.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16888
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152198
195.7 IPS |
|
|
Style Transfer (Q)
|
96% |
156857
202.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26327
972.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27275
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2416
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2433
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6145
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6931
119.8 IPS |
