OnePlus PJF110
Geekbench AI Score
202
Single Precision Score
204
Half Precision Score
21244
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 05 2025 05:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
97% |
18483
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
15781
256.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
97276
113.9 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.58 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.61 IPS |
|
|
Object Detection (Q)
|
86% |
9333
750.4 IPS |
|
|
Face Detection (SP)
|
100% |
317
3.76 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
97% |
46974
560.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
391
3.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
436
3.36 IPS |
|
|
Depth Estimation (Q)
|
63% |
45376
424.9 IPS |
|
|
Style Transfer (SP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
143161
184.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
32966
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
154
205.2 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.7 IPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
55% |
1359
35.6 IPS |
