iPhone SE (3rd generation)
Geekbench AI Score
3195
Single Precision Score
19570
Half Precision Score
22755
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | September 29 2025 05:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
7905
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9766
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12442
201.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15911
257.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5980
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
78033
91.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94693
111.0 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
99% |
10651
847.2 IPS |
|
|
Object Detection (Q)
|
91% |
12723
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
28419
337.7 IPS |
|
|
Face Detection (Q)
|
100% |
36754
436.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5298
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58263
448.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
77600
606.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17405
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
142711
183.5 IPS |
|
|
Style Transfer (Q)
|
96% |
141944
183.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29464
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28505
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2409
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6121
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7154
123.6 IPS |
