OnePlus PKR110
Geekbench AI Score
1591
Single Precision Score
1524
Half Precision Score
2249
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 02:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus PKR110 |
| Model ID | OnePlus PKR110 |
| Motherboard | sun |
| Governor | scx |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (Q)
|
100% |
1781
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1647
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2610
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2797
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6397
7.59 IPS |
|
|
Object Detection (SP)
|
98% |
895
71.3 IPS |
|
|
Object Detection (HP)
|
98% |
899
71.6 IPS |
|
|
Object Detection (Q)
|
83% |
1865
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
95% |
2218
26.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1924
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2008
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4635
42.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5745
7.46 IPS |
|
|
Style Transfer (HP)
|
89% |
5673
7.36 IPS |
|
|
Style Transfer (Q)
|
98% |
14509
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3294
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
719
969.1 IPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
268
9.50 IPS |
