iPhone SE (2nd generation)
Geekbench AI Score
1603
Single Precision Score
2667
Half Precision Score
2315
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NikitaSolovey |
| Upload Date | October 22 2024 04:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
757
140.8 IPS |
|
|
Image Classification (HP)
|
100% |
1138
211.7 IPS |
|
|
Image Classification (Q)
|
96% |
863
161.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1081
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6636
7.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
5881
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1306
104.0 IPS |
|
|
Object Detection (Q)
|
94% |
1008
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1621
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2819
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
4835
37.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
3616
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6721
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
13331
17.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11326
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2113
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2434
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2163
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
