iPhone SE (2nd generation)
Geekbench AI Score
1101
Single Precision Score
3417
Half Precision Score
679
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | March 07 2025 04:13 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
542
100.7 IPS |
|
|
Image Classification (HP)
|
100% |
2748
511.0 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3145
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
28558
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3535
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6928
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
375
4.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1868
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22616
174.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
907
7.08 IPS |
|
|
Style Transfer (SP)
|
100% |
3791
4.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8116
10.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3327
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
480
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.0 IPS |
|
|
Text Classification (Q)
|
93% |
455
610.2 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
