iPhone SE (2nd generation)
Geekbench AI Score
1167
Single Precision Score
3576
Half Precision Score
709
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
2722
506.2 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
357
5.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
3296
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
29313
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2393
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
6981
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
378
4.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1790
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22149
170.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1077
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
5278
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
10816
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4568
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
594
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.0 IPS |
|
|
Text Classification (Q)
|
93% |
455
611.2 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
