iPhone SE (2nd generation)
Geekbench AI Score
1599
Single Precision Score
2681
Half Precision Score
2236
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chaseps |
| Upload Date | September 05 2024 08:55 AM |
| Views | 8 |
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% |
762
141.7 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
99% |
1139
212.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3604
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6643
7.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
5851
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (HP)
|
97% |
1317
104.8 IPS |
|
|
Object Detection (Q)
|
94% |
1015
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (Q)
|
100% |
1659
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2917
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4894
37.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
2444
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6795
8.74 IPS |
|
|
Style Transfer (HP)
|
100% |
13435
17.3 IPS |
|
|
Style Transfer (Q)
|
100% |
13401
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2652
97.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2088
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2293
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2293
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2311
39.9 IPS |
