iPhone SE (2nd generation)
Geekbench AI Score
798
Single Precision Score
2561
Half Precision Score
2177
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 01:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
766
142.4 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
96% |
862
160.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1080
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3700
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6732
7.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
5942
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (HP)
|
97% |
1325
105.5 IPS |
|
|
Object Detection (Q)
|
94% |
1016
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (Q)
|
100% |
1631
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2898
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
4796
37.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3651
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6512
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
13602
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11599
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2825
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2128
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2415
3.24 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
96% |
1296
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1201
20.8 IPS |
