iPhone SE (2nd generation)
Geekbench AI Score
1680
Single Precision Score
3137
Half Precision Score
2569
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6384
7.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
5683
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
97% |
1620
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1815
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2995
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5937
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4311
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7128
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
14026
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11960
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2106
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1280
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2145
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3146
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3087
53.4 IPS |
