iPhone SE (2nd generation)
Geekbench AI Score
1151
Single Precision Score
3503
Half Precision Score
1397
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2761
513.5 IPS |
|
|
Image Classification (Q)
|
99% |
2842
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.28 IPS |
|
|
Image Segmentation (Q)
|
100% |
500
8.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
3163
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
28817
33.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
2959
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
6952
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
420
5.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
1905
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21889
168.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
22244
172.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5381
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
10867
14.0 IPS |
|
|
Style Transfer (Q)
|
100% |
10775
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1559
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
591
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
730
973.9 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
93% |
424
569.5 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
921
15.9 IPS |
