iPhone SE (2nd generation)
Geekbench AI Score
1649
Single Precision Score
3071
Half Precision Score
2534
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 12:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
785
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1446
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3384
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
6243
7.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
5571
6.53 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
97% |
1601
127.5 IPS |
|
|
Object Detection (Q)
|
94% |
1163
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1835
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3000
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5926
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4245
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6652
8.55 IPS |
|
|
Style Transfer (HP)
|
100% |
13567
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11451
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2671
98.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2079
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (Q)
|
93% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3011
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3023
52.2 IPS |
