iPhone SE (2nd generation)
Geekbench AI Score
945
Single Precision Score
1776
Half Precision Score
1481
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 04:11 AM |
| Views | 2 |
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 | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.4 IPS |
|
|
Image Classification (Q)
|
96% |
537
100.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3696
4.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
3317
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (HP)
|
97% |
858
68.3 IPS |
|
|
Object Detection (Q)
|
94% |
647
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1059
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1736
13.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
3411
26.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
2484
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4111
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
7908
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
6864
8.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1241
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (Q)
|
93% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1785
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1780
30.8 IPS |
