OnePlus PKR110
Geekbench AI Score
970
Single Precision Score
1559
Half Precision Score
1715
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 04:04 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (Q)
|
99% |
1106
206.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1978
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1622
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2779
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2774
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
86% |
1071
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
4238
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4561
35.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3756
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5815
7.48 IPS |
|
|
Style Transfer (HP)
|
100% |
12427
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12329
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2098
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.3 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.7 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.0 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.46 IPS |
