iPhone SE (2nd generation)
Geekbench AI Score
1333
Single Precision Score
2698
Half Precision Score
2265
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | January 02 2025 10:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
727
135.1 IPS |
|
|
Image Classification (HP)
|
100% |
1317
245.0 IPS |
|
|
Image Classification (Q)
|
96% |
921
172.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1306
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4439
5.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
3893
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
97% |
1523
121.2 IPS |
|
|
Object Detection (Q)
|
94% |
1053
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (Q)
|
100% |
1614
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2534
19.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5435
42.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
3698
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5084
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
12372
15.9 IPS |
|
|
Style Transfer (Q)
|
96% |
10324
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1922
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2138
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2769
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2858
49.4 IPS |
