OnePlus PJF110
Geekbench AI Score
1293
Single Precision Score
924
Half Precision Score
2023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 10:05 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJF110 |
| Model ID | OnePlus PJF110 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 14.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (Q)
|
100% |
2217
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1123
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3110
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
6786
8.05 IPS |
|
|
Object Detection (SP)
|
98% |
622
49.5 IPS |
|
|
Object Detection (HP)
|
98% |
405
32.2 IPS |
|
|
Object Detection (Q)
|
83% |
2004
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2461
29.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2510
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1593
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2483
22.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3396
4.41 IPS |
|
|
Style Transfer (HP)
|
89% |
3064
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6051
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1589
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
404
538.7 IPS |
|
|
Text Classification (HP)
|
99% |
407
542.8 IPS |
|
|
Text Classification (Q)
|
88% |
702
947.3 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
826
29.3 IPS |
