OnePlus PLC110
Geekbench AI Score
1248
Single Precision Score
1601
Half Precision Score
1315
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 23 2025 08:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PLC110 |
| Model ID | OnePlus PLC110 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
465
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
812
150.9 IPS |
|
|
Image Classification (Q)
|
97% |
620
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2056
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9440
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15921
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15058
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
760
60.3 IPS |
|
|
Object Detection (Q)
|
83% |
687
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (Q)
|
96% |
3455
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3639
28.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5424
41.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4410
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13907
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23985
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23388
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2299
85.2 IPS |
|
|
Text Classification (SP)
|
35% |
20
183.9 IPS |
|
|
Text Classification (HP)
|
29% |
12
201.9 IPS |
|
|
Text Classification (Q)
|
32% |
15
197.1 IPS |
|
|
Machine Translation (SP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
43% |
96
5.60 IPS |
