OnePlus 12
Geekbench AI Score
220
Single Precision Score
207
Half Precision Score
452
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | December 25 2024 07:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 12 |
| Model ID | OnePlus CPH2581 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
309
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
326
5.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
201
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
760
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.17 IPS |
|
|
Object Detection (Q)
|
87% |
321
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.13 IPS |
|
|
Face Detection (Q)
|
97% |
658
7.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
274
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
282
2.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
608
5.52 IPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1327
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.76 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.7 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.5 IPS |
|
|
Text Classification (Q)
|
91% |
255
342.9 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
57% |
234
5.72 IPS |
