iPhone SE (3rd generation)
Geekbench AI Score
1953
Single Precision Score
2270
Half Precision Score
2286
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 08:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
848
157.7 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (Q)
|
96% |
1118
208.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1440
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3762
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4732
5.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
4023
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
805
63.8 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
92% |
798
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (Q)
|
100% |
2566
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3990
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3493
26.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
2961
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8532
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9199
11.8 IPS |
|
|
Style Transfer (Q)
|
96% |
8406
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3302
121.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3915
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1812
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1665
28.8 IPS |
