iPhone SE (3rd generation)
Geekbench AI Score
1587
Single Precision Score
2633
Half Precision Score
2107
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 03:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
583
108.4 IPS |
|
|
Image Classification (HP)
|
100% |
1050
195.3 IPS |
|
|
Image Classification (Q)
|
96% |
721
134.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1148
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6430
7.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
5433
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
97% |
1207
96.1 IPS |
|
|
Object Detection (Q)
|
94% |
859
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4813
37.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3289
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7900
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12106
15.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10061
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2203
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1603
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
1166
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (Q)
|
93% |
1996
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2910
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2856
49.4 IPS |
