OnePlus PLC110
Geekbench AI Score
1150
Single Precision Score
8958
Half Precision Score
12073
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 23 2025 08:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1185
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
4892
909.7 IPS |
|
|
Image Classification (Q)
|
99% |
11943
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4624
75.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2099
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10744
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21378
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
86264
101.1 IPS |
|
|
Object Detection (SP)
|
100% |
718
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
5254
416.7 IPS |
|
|
Object Detection (Q)
|
86% |
6365
512.0 IPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
13869
164.8 IPS |
|
|
Face Detection (Q)
|
97% |
15268
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
21361
164.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
37255
353.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2445
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
67267
86.5 IPS |
|
|
Style Transfer (Q)
|
98% |
231697
298.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12320
454.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
34986
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
133
177.7 IPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2475
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
60% |
419
9.42 IPS |
