OnePlus PJF110
Geekbench AI Score
1366
Single Precision Score
999
Half Precision Score
1593
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 13 2025 08:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (Q)
|
100% |
2073
385.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1302
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3043
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
6138
7.28 IPS |
|
|
Object Detection (SP)
|
98% |
561
44.6 IPS |
|
|
Object Detection (HP)
|
98% |
363
28.9 IPS |
|
|
Object Detection (Q)
|
83% |
1040
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
1834
21.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2697
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1290
9.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
2360
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7469
9.70 IPS |
|
|
Style Transfer (HP)
|
89% |
3132
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
5492
7.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1431
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.5 IPS |
|
|
Text Classification (HP)
|
99% |
370
493.7 IPS |
|
|
Text Classification (Q)
|
88% |
409
551.2 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.6 IPS |
