iPhone SE (2nd generation)
Geekbench AI Score
1093
Single Precision Score
3464
Half Precision Score
678
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.4 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
279
4.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
2598
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
25759
30.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3237
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
2536
201.2 IPS |
|
|
Object Detection (Q)
|
94% |
258
20.6 IPS |
|
|
Face Detection (SP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6898
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
328
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1596
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21522
165.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
949
7.42 IPS |
|
|
Style Transfer (SP)
|
100% |
4443
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
9663
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4061
5.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4289
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
565
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.3 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.3 IPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
