OPPO PLD110
Geekbench AI Score
875
Single Precision Score
809
Half Precision Score
1367
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 12 2025 04:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
861
160.1 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.1 IPS |
|
|
Image Classification (Q)
|
100% |
864
160.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1914
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
5240
6.21 IPS |
|
|
Object Detection (SP)
|
98% |
813
64.7 IPS |
|
|
Object Detection (HP)
|
98% |
827
65.8 IPS |
|
|
Object Detection (Q)
|
83% |
900
72.7 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
1860
22.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1660
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
840
6.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
2063
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2724
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4219
5.48 IPS |
|
|
Style Transfer (Q)
|
98% |
6047
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1228
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.8 IPS |
|
|
Text Classification (HP)
|
99% |
275
367.4 IPS |
|
|
Text Classification (Q)
|
88% |
527
710.5 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
361
12.8 IPS |
