OPPO PLG110
Geekbench AI Score
1423
Single Precision Score
1971
Half Precision Score
1646
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | October 28 2025 05:42 AM |
| Views | 5 |
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 | 14.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.1 IPS |
|
|
Image Classification (Q)
|
97% |
1054
196.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2153
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11839
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19656
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
18829
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
99% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
83% |
880
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
4388
52.1 IPS |
|
|
Face Detection (Q)
|
96% |
4276
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4072
31.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5484
42.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4411
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16554
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26910
34.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26444
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2761
102.3 IPS |
|
|
Text Classification (SP)
|
35% |
25
227.1 IPS |
|
|
Text Classification (HP)
|
29% |
20
348.4 IPS |
|
|
Text Classification (Q)
|
32% |
25
326.5 IPS |
|
|
Machine Translation (SP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.57 IPS |
