iPhone SE (3rd generation)
Geekbench AI Score
3196
Single Precision Score
18941
Half Precision Score
21949
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 04:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
7844
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9607
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12020
194.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15659
253.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6129
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
82135
95.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
84236
98.7 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
99% |
10648
847.0 IPS |
|
|
Object Detection (Q)
|
91% |
12035
961.7 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
28144
334.4 IPS |
|
|
Face Detection (Q)
|
100% |
36123
429.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58676
452.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76063
594.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17437
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
151234
194.4 IPS |
|
|
Style Transfer (Q)
|
96% |
141864
183.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29274
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27640
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2574
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2149
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6337
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7350
127.0 IPS |
