iPhone SE (2nd generation)
Geekbench AI Score
1517
Single Precision Score
3026
Half Precision Score
2450
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 10:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
732
136.2 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
6293
7.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
5445
6.38 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
97% |
1565
124.6 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1550
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (Q)
|
100% |
1751
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2759
21.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5703
44.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3904
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5117
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
12544
16.1 IPS |
|
|
Style Transfer (Q)
|
96% |
10143
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2035
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
99% |
2130
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2128
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3062
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2941
50.8 IPS |
