iPhone SE (2nd generation)
Geekbench AI Score
1626
Single Precision Score
3078
Half Precision Score
2517
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 01:44 PM |
| Views | 1 |
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% |
788
146.6 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
96% |
985
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1453
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6115
7.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
5433
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
97% |
1598
127.2 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1793
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2910
22.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5769
44.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4193
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6994
8.99 IPS |
|
|
Style Transfer (HP)
|
100% |
13440
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11656
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2735
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2089
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3022
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2897
50.1 IPS |
