iPhone SE (2nd generation)
Geekbench AI Score
876
Single Precision Score
968
Half Precision Score
418
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 01 2024 01:25 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
303
56.3 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.7 IPS |
|
|
Image Classification (Q)
|
97% |
239
44.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
333
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
1290
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
94% |
170
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (Q)
|
100% |
224
2.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
2357
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2421
18.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
609
4.75 IPS |
|
|
Style Transfer (SP)
|
100% |
5737
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4876
6.27 IPS |
|
|
Style Transfer (Q)
|
96% |
2028
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.7 IPS |
|
|
Text Classification (HP)
|
100% |
389
519.2 IPS |
|
|
Text Classification (Q)
|
93% |
365
489.8 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
98% |
230
3.97 IPS |
