iPhone SE (2nd generation)
Geekbench AI Score
1543
Single Precision Score
3016
Half Precision Score
2625
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | HowieZhang |
| Upload Date | August 16 2024 04:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
788
146.5 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (Q)
|
99% |
1378
257.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1277
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3393
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6155
7.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
5482
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1142
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1790
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2678
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5671
43.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5383
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4918
6.32 IPS |
|
|
Style Transfer (HP)
|
100% |
12120
15.6 IPS |
|
|
Style Transfer (Q)
|
100% |
12166
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1899
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2158
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2986
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2945
50.9 IPS |
