iPhone SE (2nd generation)
Geekbench AI Score
1641
Single Precision Score
3057
Half Precision Score
2534
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | harman767 |
| Upload Date | June 30 2025 04:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
804
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1365
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3548
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
5781
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (HP)
|
97% |
1565
124.6 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1822
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2830
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5492
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4041
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7105
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
14386
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12086
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1995
73.7 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3224
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3202
55.3 IPS |
