iPhone SE (2nd generation)
Geekbench AI Score
1159
Single Precision Score
3588
Half Precision Score
717
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 09 2025 11:59 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
309
5.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
3152
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
29503
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3551
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7310
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
365
4.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
1847
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23436
180.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1017
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
4979
6.40 IPS |
|
|
Style Transfer (HP)
|
100% |
10046
12.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4166
5.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
580
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.0 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.0 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
989
17.1 IPS |
