iPhone SE (2nd generation)
Geekbench AI Score
886
Single Precision Score
1067
Half Precision Score
486
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 06:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
97% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2277
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3191
3.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
1280
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
94% |
284
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (Q)
|
100% |
355
4.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
2418
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3223
24.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
861
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
5804
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
5572
7.16 IPS |
|
|
Style Transfer (Q)
|
96% |
2058
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
431
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.2 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.6 IPS |
|
|
Text Classification (Q)
|
93% |
387
519.2 IPS |
|
|
Machine Translation (SP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
98% |
234
4.04 IPS |
