iPhone SE (3rd generation)
Geekbench AI Score
2615
Single Precision Score
3037
Half Precision Score
2558
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
748
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
982
182.7 IPS |
|
|
Image Classification (Q)
|
97% |
689
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1969
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10114
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9291
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1134
89.9 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
91% |
859
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3290
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7083
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7599
58.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6171
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16927
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19701
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18353
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3018
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2360
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
98% |
312
5.39 IPS |
