iPhone SE (2nd generation)
Geekbench AI Score
1569
Single Precision Score
3001
Half Precision Score
2464
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | WhiteNoble |
| Upload Date | December 10 2024 10:23 AM |
| Views | 2 |
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% |
790
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (Q)
|
96% |
985
183.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1240
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3466
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6180
7.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
5568
6.53 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1598
127.2 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1796
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2894
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5786
44.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4045
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6025
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
13226
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11234
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2083
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2142
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2936
50.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2881
49.8 IPS |
