iPhone SE (2nd generation)
Geekbench AI Score
1440
Single Precision Score
2857
Half Precision Score
2270
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 05 2025 07:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
797
148.3 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1321
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3334
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6038
7.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
5342
6.26 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
97% |
1537
122.4 IPS |
|
|
Object Detection (Q)
|
94% |
1127
89.9 IPS |
|
|
Face Detection (SP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (Q)
|
100% |
1711
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2262
17.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
4717
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
2427
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4836
6.22 IPS |
|
|
Style Transfer (HP)
|
100% |
12106
15.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9851
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1820
67.2 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2971
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3097
53.5 IPS |
