iPhone SE (3rd generation)
Geekbench AI Score
1571
Single Precision Score
11740
Half Precision Score
12683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 01:19 PM |
| Views | 9 |
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% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
5917
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5799
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7645
123.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9280
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
38009
44.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
38187
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
99% |
6163
490.2 IPS |
|
|
Object Detection (Q)
|
91% |
6157
492.0 IPS |
|
|
Face Detection (SP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
14433
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
18499
219.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2376
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33573
258.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
39436
308.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7947
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
77497
99.6 IPS |
|
|
Style Transfer (Q)
|
96% |
76663
98.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15343
566.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17602
650.0 IPS |
|
|
Text Classification (SP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (Q)
|
93% |
1845
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4690
81.0 IPS |
