OPPO PKU110
Geekbench AI Score
2533
Single Precision Score
4065
Half Precision Score
3385
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 09:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO PKU110 |
| Model ID | OPPO PKU110 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (Q)
|
100% |
1917
356.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5714
92.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5466
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12458
14.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
22953
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22543
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
99% |
1958
155.3 IPS |
|
|
Object Detection (Q)
|
85% |
1844
148.4 IPS |
|
|
Face Detection (SP)
|
100% |
5072
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8693
103.3 IPS |
|
|
Face Detection (Q)
|
97% |
7762
92.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6557
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9358
72.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6946
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16148
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35522
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34971
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5567
206.3 IPS |
|
|
Text Classification (SP)
|
35% |
72
697.7 IPS |
|
|
Text Classification (HP)
|
35% |
82
742.7 IPS |
|
|
Text Classification (Q)
|
33% |
61
679.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
48% |
710
27.2 IPS |
