iPhone SE (2nd generation)
Geekbench AI Score
1589
Single Precision Score
3051
Half Precision Score
2474
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1427
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3346
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6039
7.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
5317
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1140
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1768
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2858
22.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5764
44.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4195
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6263
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
13199
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10877
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2653
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1979
73.1 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2145
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2995
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2943
50.9 IPS |
