iPhone SE (2nd generation)
Geekbench AI Score
905
Single Precision Score
1076
Half Precision Score
488
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | somata |
| Upload Date | September 26 2024 05:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2325
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3032
3.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
1251
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
348
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
2435
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3266
25.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
901
7.03 IPS |
|
|
Style Transfer (SP)
|
100% |
5952
7.65 IPS |
|
|
Style Transfer (HP)
|
100% |
6519
8.38 IPS |
|
|
Style Transfer (Q)
|
96% |
2089
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1178
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.4 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.6 IPS |
|
|
Text Classification (Q)
|
93% |
365
490.2 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
98% |
238
4.11 IPS |
