iPhone SE (2nd generation)
Geekbench AI Score
1566
Single Precision Score
3071
Half Precision Score
2527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 10:45 PM |
| Views | 1 |
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% |
721
134.2 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1449
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3469
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
5645
6.62 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
97% |
1556
123.9 IPS |
|
|
Object Detection (Q)
|
94% |
1121
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3101
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1768
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2856
22.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5884
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4249
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6875
8.84 IPS |
|
|
Style Transfer (HP)
|
100% |
14095
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11795
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2155
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1337
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2130
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2975
51.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2913
50.3 IPS |
