OnePlus PKG110
Geekbench ML Score
1150
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 02:35 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus PKG110 |
| Model ID | OnePlus PKG110 |
| Motherboard | pineapple |
| Governor | walt |
| 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 | 14.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
552
103.4 IPS |
|
|
Image Classification (F16)
|
100% |
584
109.3 IPS |
|
|
Image Classification (I8)
|
99% |
482
90.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1107
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1040
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
989
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
2522
3.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
2526
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
245
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
389
29.0 IPS |
|
|
Object Detection (I8)
|
62% |
267
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (F16)
|
97% |
2601
30.9 IPS |
|
|
Face Detection (I8)
|
86% |
1659
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1788
13.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3691
28.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3624
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
6688
8.80 IPS |
|
|
Style Transfer (F16)
|
100% |
10705
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
10711
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
539
19.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1125
40.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1020
36.4 IPS |
|
|
Text Classification (F32)
|
100% |
452
649.8 IPS |
|
|
Text Classification (F16)
|
100% |
448
644.3 IPS |
|
|
Text Classification (I8)
|
92% |
725
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
742
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (I8)
|
64% |
419
7.71 IPS |
