OnePlus PJX110
Geekbench ML Score
922
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 05 2025 01:02 PM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
605
113.2 IPS |
|
|
Image Classification (F16)
|
100% |
528
98.8 IPS |
|
|
Image Classification (I8)
|
99% |
498
93.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1044
17.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
970
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1065
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
2518
3.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
2483
3.01 IPS |
|
|
Object Detection (F32)
|
100% |
314
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
436
32.5 IPS |
|
|
Object Detection (I8)
|
62% |
280
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
3248
38.6 IPS |
|
|
Face Detection (I8)
|
86% |
1768
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1849
14.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3829
29.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3728
28.9 IPS |
|
|
Style Transfer (F32)
|
100% |
5273
6.94 IPS |
|
|
Style Transfer (F16)
|
100% |
7795
10.3 IPS |
|
|
Style Transfer (I8)
|
98% |
7800
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
413
14.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
608
21.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
588
21.0 IPS |
|
|
Text Classification (F32)
|
100% |
146
209.4 IPS |
|
|
Text Classification (F16)
|
100% |
146
209.4 IPS |
|
|
Text Classification (I8)
|
92% |
239
343.8 IPS |
|
|
Machine Translation (F32)
|
100% |
283
5.20 IPS |
|
|
Machine Translation (F16)
|
100% |
283
5.20 IPS |
|
|
Machine Translation (I8)
|
64% |
328
6.04 IPS |
