iPhone SE (2nd generation)
Geekbench AI Score
1478
Single Precision Score
2948
Half Precision Score
2320
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 10:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
96% |
985
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1387
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5853
6.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
4576
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (HP)
|
97% |
1470
117.0 IPS |
|
|
Object Detection (Q)
|
94% |
1031
82.2 IPS |
|
|
Face Detection (SP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1618
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2572
19.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5441
42.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3633
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5059
6.50 IPS |
|
|
Style Transfer (HP)
|
100% |
12604
16.2 IPS |
|
|
Style Transfer (Q)
|
96% |
10157
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2577
95.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1919
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2094
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2119
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3001
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2896
50.0 IPS |
