iPhone SE (2nd generation)
Geekbench AI Score
1583
Single Precision Score
3050
Half Precision Score
2461
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 10:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
781
145.2 IPS |
|
|
Image Classification (HP)
|
100% |
1384
257.3 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1407
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
5901
6.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
5329
6.25 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.1 IPS |
|
|
Object Detection (Q)
|
94% |
1135
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1788
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2930
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5888
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4177
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6228
8.01 IPS |
|
|
Style Transfer (HP)
|
100% |
13407
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
10705
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2607
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1959
72.3 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2133
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3025
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2916
50.4 IPS |
