iPhone SE (2nd generation)
Geekbench AI Score
1617
Single Precision Score
2692
Half Precision Score
2250
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | frank_m_h_jaeger |
| Upload Date | August 18 2024 04:28 PM |
| Views | 9 |
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% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
1145
212.9 IPS |
|
|
Image Classification (Q)
|
99% |
1146
213.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
766
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
5864
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1314
104.6 IPS |
|
|
Object Detection (Q)
|
94% |
1013
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (Q)
|
100% |
1657
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2918
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4872
37.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
2494
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7203
9.26 IPS |
|
|
Style Transfer (HP)
|
100% |
13588
17.5 IPS |
|
|
Style Transfer (Q)
|
100% |
13541
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2651
97.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2088
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2310
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2303
39.8 IPS |
