iPhone SE (3rd generation)
Geekbench AI Score
3029
Single Precision Score
19342
Half Precision Score
21908
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 11:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
7475
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
10425
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13435
217.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14377
233.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5845
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
77087
89.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
71969
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.7 IPS |
|
|
Object Detection (HP)
|
99% |
10720
852.7 IPS |
|
|
Object Detection (Q)
|
91% |
12264
980.0 IPS |
|
|
Face Detection (SP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
22934
272.5 IPS |
|
|
Face Detection (Q)
|
100% |
31109
369.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4116
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54892
422.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
69610
544.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16235
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153442
197.3 IPS |
|
|
Style Transfer (Q)
|
96% |
148367
191.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3569
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29032
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30949
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2524
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7674
132.6 IPS |
