OnePlus PKX110
Geekbench ML Score
718
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 05 2025 03:56 AM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
279
52.2 IPS |
|
|
Image Classification (F16)
|
100% |
341
63.8 IPS |
|
|
Image Classification (I8)
|
97% |
577
107.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
620
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
675
11.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
626
10.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1153
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1108
1.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
3479
4.21 IPS |
|
|
Object Detection (F32)
|
100% |
351
26.2 IPS |
|
|
Object Detection (F16)
|
100% |
339
25.3 IPS |
|
|
Object Detection (I8)
|
61% |
570
42.6 IPS |
|
|
Face Detection (F32)
|
100% |
923
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
877
10.4 IPS |
|
|
Face Detection (I8)
|
86% |
1232
14.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1023
7.93 IPS |
|
|
Depth Estimation (F16)
|
100% |
1013
7.86 IPS |
|
|
Depth Estimation (I8)
|
95% |
1658
12.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2170
2.85 IPS |
|
|
Style Transfer (F16)
|
100% |
2165
2.85 IPS |
|
|
Style Transfer (I8)
|
98% |
4566
6.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
492
17.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1161
41.5 IPS |
|
|
Text Classification (F32)
|
100% |
280
402.2 IPS |
|
|
Text Classification (F16)
|
100% |
315
452.1 IPS |
|
|
Text Classification (I8)
|
92% |
214
307.0 IPS |
|
|
Machine Translation (F32)
|
100% |
667
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (I8)
|
64% |
272
5.01 IPS |
