OnePlus PJX110
Geekbench AI Score
251
Single Precision Score
252
Half Precision Score
557
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 02:01 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJX110 |
| Model ID | OnePlus PJX110 |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
145
26.9 IPS |
|
|
Image Classification (Q)
|
99% |
363
67.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
387
6.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
251
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
954
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
392
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (HP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (Q)
|
97% |
823
9.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
340
2.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
340
2.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
772
7.01 IPS |
|
|
Style Transfer (SP)
|
100% |
610
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
608
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1688
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
6.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
552
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.8 IPS |
|
|
Text Classification (Q)
|
91% |
321
432.0 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.12 IPS |
