OnePlus PKR110
Geekbench AI Score
1660
Single Precision Score
1798
Half Precision Score
2756
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 02:50 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% |
1475
274.3 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.4 IPS |
|
|
Image Classification (Q)
|
100% |
1547
287.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1965
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2719
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2889
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
5590
6.63 IPS |
|
|
Object Detection (SP)
|
98% |
972
77.4 IPS |
|
|
Object Detection (HP)
|
98% |
852
67.8 IPS |
|
|
Object Detection (Q)
|
83% |
1869
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (Q)
|
95% |
6560
78.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2149
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2376
18.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4397
40.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6393
8.30 IPS |
|
|
Style Transfer (HP)
|
89% |
6941
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
12679
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4042
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
1067
1.42 KIPS |
|
|
Text Classification (Q)
|
88% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
468
16.6 IPS |
