iPhone SE (2nd generation)
Geekbench AI Score
1532
Single Precision Score
2597
Half Precision Score
2250
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | somata |
| Upload Date | September 26 2024 05:03 AM |
| Views | 10 |
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% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
1145
212.9 IPS |
|
|
Image Classification (Q)
|
96% |
861
160.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1043
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3471
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6442
7.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
5783
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
97% |
1297
103.3 IPS |
|
|
Object Detection (Q)
|
94% |
1000
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (Q)
|
100% |
1582
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2768
21.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
4557
35.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
3670
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6950
8.93 IPS |
|
|
Style Transfer (HP)
|
100% |
12987
16.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11278
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1832
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2583
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1968
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2360
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2236
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2110
36.5 IPS |
