iPhone SE (2nd generation)
Geekbench AI Score
1493
Single Precision Score
2886
Half Precision Score
2464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3415
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6611
7.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
5889
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
97% |
1468
116.9 IPS |
|
|
Object Detection (Q)
|
94% |
1105
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (Q)
|
100% |
1659
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2691
20.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5517
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4056
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6727
8.65 IPS |
|
|
Style Transfer (HP)
|
100% |
13103
16.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12009
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1794
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1611
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2308
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3327
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3238
56.0 IPS |
