OPPO PLD110
Geekbench AI Score
205
Single Precision Score
202
Half Precision Score
475
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 12 2025 05:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO PLD110 |
| Model ID | OPPO PLD110 |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
99% |
309
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
339
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
806
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.20 IPS |
|
|
Object Detection (Q)
|
87% |
335
26.9 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
701
8.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
266
2.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
643
5.83 IPS |
|
|
Style Transfer (SP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
468
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1391
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
463
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.8 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.9 IPS |
|
|
Text Classification (Q)
|
91% |
297
399.5 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
57% |
244
5.95 IPS |
