OnePlus PKR110
Geekbench AI Score
270
Single Precision Score
294
Half Precision Score
563
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 03:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PKR110 |
| Model ID | OnePlus PKR110 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
99% |
924
172.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
346
5.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
847
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.99 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
87% |
344
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
756
9.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
302
2.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
304
2.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
681
6.18 IPS |
|
|
Style Transfer (SP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
999
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
1529
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
503
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
206
274.3 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.4 IPS |
|
|
Text Classification (Q)
|
91% |
328
440.2 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.48 IPS |
