OnePlus PKX110
Geekbench ML Score
1389
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 05 2025 04:00 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PKX110 |
| Model ID | OnePlus PKX110 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
625
117.0 IPS |
|
|
Image Classification (F16)
|
100% |
1596
298.7 IPS |
|
|
Image Classification (I8)
|
100% |
1489
278.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3246
54.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2975
49.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1451
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
2498
3.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
2502
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
461
34.5 IPS |
|
|
Object Detection (F16)
|
100% |
861
64.3 IPS |
|
|
Object Detection (I8)
|
59% |
860
64.2 IPS |
|
|
Face Detection (F32)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
5160
61.4 IPS |
|
|
Face Detection (I8)
|
86% |
4627
55.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1404
10.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3988
30.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
3948
30.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5329
7.01 IPS |
|
|
Style Transfer (F16)
|
100% |
10518
13.8 IPS |
|
|
Style Transfer (I8)
|
98% |
10541
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
610
21.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2071
74.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2089
74.6 IPS |
|
|
Text Classification (F32)
|
100% |
229
328.8 IPS |
|
|
Text Classification (F16)
|
100% |
135
193.4 IPS |
|
|
Text Classification (I8)
|
92% |
198
284.7 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.10 IPS |
|
|
Machine Translation (F16)
|
100% |
254
4.67 IPS |
|
|
Machine Translation (I8)
|
64% |
303
5.58 IPS |
