OnePlus PJX110
Geekbench ML Score
476
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 05 2025 12:57 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 22.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
207
38.8 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.1 IPS |
|
|
Image Classification (I8)
|
97% |
543
101.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
268
4.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
272
4.54 IPS |
|
|
Image Segmentation (I8)
|
98% |
586
9.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
377
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
377
0.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
1442
1.75 IPS |
|
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
225
16.8 IPS |
|
|
Object Detection (I8)
|
61% |
674
50.3 IPS |
|
|
Face Detection (F32)
|
100% |
551
6.55 IPS |
|
|
Face Detection (F16)
|
100% |
549
6.52 IPS |
|
|
Face Detection (I8)
|
86% |
1215
14.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
490
3.80 IPS |
|
|
Depth Estimation (F16)
|
100% |
489
3.80 IPS |
|
|
Depth Estimation (I8)
|
95% |
1347
10.4 IPS |
|
|
Style Transfer (F32)
|
100% |
784
1.03 IPS |
|
|
Style Transfer (F16)
|
100% |
782
1.03 IPS |
|
|
Style Transfer (I8)
|
98% |
1851
2.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
270
9.64 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
251
8.95 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1003
35.8 IPS |
|
|
Text Classification (F32)
|
100% |
198
284.0 IPS |
|
|
Text Classification (F16)
|
100% |
338
486.3 IPS |
|
|
Text Classification (I8)
|
92% |
549
789.0 IPS |
|
|
Machine Translation (F32)
|
100% |
532
9.79 IPS |
|
|
Machine Translation (F16)
|
100% |
531
9.77 IPS |
|
|
Machine Translation (I8)
|
64% |
320
5.89 IPS |
