iPhone SE (2nd generation)
Geekbench AI Score
1519
Single Precision Score
2613
Half Precision Score
2235
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 1Dnepr |
| Upload Date | April 12 2025 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
755
140.4 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.3 IPS |
|
|
Image Classification (Q)
|
96% |
851
159.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
6210
7.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
5345
6.27 IPS |
|
|
Object Detection (SP)
|
100% |
671
53.3 IPS |
|
|
Object Detection (HP)
|
97% |
1313
104.6 IPS |
|
|
Object Detection (Q)
|
94% |
997
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (Q)
|
100% |
1576
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2664
20.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
4764
36.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3315
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6554
8.43 IPS |
|
|
Style Transfer (HP)
|
100% |
13290
17.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11120
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2045
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2419
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2312
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2327
40.2 IPS |
