OnePlus PLC110
Geekbench AI Score
1249
Single Precision Score
1598
Half Precision Score
1350
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | November 18 2025 06:30 AM |
| Views | 8 |
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% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (Q)
|
97% |
601
112.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2511
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9650
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16196
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15471
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (HP)
|
99% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
83% |
692
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (Q)
|
96% |
3410
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3736
28.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5273
40.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4725
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13965
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24955
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24638
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2368
87.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2089
77.4 IPS |
|
|
Text Classification (SP)
|
35% |
19
176.4 IPS |
|
|
Text Classification (HP)
|
29% |
12
206.1 IPS |
|
|
Text Classification (Q)
|
32% |
16
203.5 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.97 IPS |
|
|
Machine Translation (Q)
|
43% |
94
5.49 IPS |
