OnePlus PJF110
Geekbench AI Score
209
Single Precision Score
229
Half Precision Score
476
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 13 2025 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
542
8.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
251
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
761
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.68 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.74 IPS |
|
|
Object Detection (Q)
|
87% |
311
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (Q)
|
97% |
652
7.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
266
2.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
608
5.52 IPS |
|
|
Style Transfer (SP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1358
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
432
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
155
206.4 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.5 IPS |
|
|
Text Classification (Q)
|
91% |
258
346.4 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
57% |
229
5.59 IPS |
