iPhone SE (2nd generation)
Geekbench AI Score
1612
Single Precision Score
2703
Half Precision Score
2251
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 18 2024 03:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
764
142.1 IPS |
|
|
Image Classification (HP)
|
100% |
1144
212.7 IPS |
|
|
Image Classification (Q)
|
99% |
1140
212.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6625
7.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
5818
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1319
105.0 IPS |
|
|
Object Detection (Q)
|
94% |
1007
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1643
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2892
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4874
37.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
2466
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7032
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
13496
17.3 IPS |
|
|
Style Transfer (Q)
|
100% |
13466
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2707
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2088
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2413
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2360
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
