OPPO PLD110
Geekbench AI Score
460
Single Precision Score
817
Half Precision Score
671
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 12 2025 05:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (Q)
|
100% |
615
114.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
823
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1795
2.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3410
3.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
3335
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
99% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
85% |
440
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1688
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
1357
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1143
8.81 IPS |
|
|
Depth Estimation (HP)
|
98% |
2340
18.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
1781
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2135
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
5243
6.74 IPS |
|
|
Style Transfer (Q)
|
98% |
5125
6.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
857
31.8 IPS |
|
|
Text Classification (SP)
|
35% |
17
170.1 IPS |
|
|
Text Classification (HP)
|
35% |
27
245.1 IPS |
|
|
Text Classification (Q)
|
33% |
22
242.4 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
48% |
108
4.14 IPS |
