OnePlus PLC110
Geekbench AI Score
1706
Single Precision Score
1669
Half Precision Score
2370
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | November 18 2025 06:26 AM |
| Views | 9 |
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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (Q)
|
100% |
1941
361.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2090
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2685
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2369
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
4505
5.34 IPS |
|
|
Object Detection (SP)
|
98% |
1041
82.8 IPS |
|
|
Object Detection (HP)
|
98% |
1057
84.1 IPS |
|
|
Object Detection (Q)
|
83% |
1535
124.0 IPS |
|
|
Face Detection (SP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
95% |
3621
43.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2797
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2806
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3766
34.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5449
7.07 IPS |
|
|
Style Transfer (HP)
|
89% |
5446
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
9763
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2430
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
562
749.6 IPS |
|
|
Text Classification (HP)
|
99% |
561
749.4 IPS |
|
|
Text Classification (Q)
|
88% |
986
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
625
22.2 IPS |
