OnePlus PLC110
Geekbench AI Score
1779
Single Precision Score
1733
Half Precision Score
2529
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 23 2025 08:25 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (Q)
|
100% |
1954
363.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2109
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2671
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
4944
5.86 IPS |
|
|
Object Detection (SP)
|
98% |
1124
89.4 IPS |
|
|
Object Detection (HP)
|
98% |
1074
85.5 IPS |
|
|
Object Detection (Q)
|
83% |
1774
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
2495
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
2453
29.1 IPS |
|
|
Face Detection (Q)
|
95% |
4011
47.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3067
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3078
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4168
38.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6013
7.81 IPS |
|
|
Style Transfer (HP)
|
89% |
6001
7.79 IPS |
|
|
Style Transfer (Q)
|
98% |
10854
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2663
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.9 IPS |
|
|
Text Classification (HP)
|
99% |
563
751.7 IPS |
|
|
Text Classification (Q)
|
88% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
629
22.3 IPS |
