iPhone SE (3rd generation)
Geekbench AI Score
2573
Single Precision Score
2852
Half Precision Score
2667
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 10:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
623
115.8 IPS |
|
|
Image Classification (HP)
|
100% |
833
154.9 IPS |
|
|
Image Classification (Q)
|
97% |
592
110.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1992
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9200
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9254
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
91% |
1380
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4827
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
3427
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7546
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7927
61.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6504
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16558
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18974
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17208
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2609
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2212
81.7 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
98% |
346
5.99 IPS |
