OPPO PLG110
Geekbench AI Score
1428
Single Precision Score
1899
Half Precision Score
1670
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 11:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OPPO PLG110 |
| Model ID | OPPO PLG110 |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (HP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (Q)
|
97% |
1143
213.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2572
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12078
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19418
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
18518
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
99% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
83% |
823
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
4708
55.9 IPS |
|
|
Face Detection (Q)
|
96% |
4265
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3939
30.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5856
45.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4359
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16767
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26722
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26385
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2634
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2718
100.7 IPS |
|
|
Text Classification (SP)
|
35% |
31
281.3 IPS |
|
|
Text Classification (HP)
|
29% |
21
362.9 IPS |
|
|
Text Classification (Q)
|
32% |
27
350.4 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
43% |
105
6.11 IPS |
