OnePlus PJF110
Geekbench ML Score
980
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 02:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus PJF110 |
| Model ID | OnePlus PJF110 |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 14.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
474
88.8 IPS |
|
|
Image Classification (F16)
|
100% |
466
87.1 IPS |
|
|
Image Classification (I8)
|
97% |
828
155.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
579
9.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
578
9.65 IPS |
|
|
Image Segmentation (I8)
|
98% |
692
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1026
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1017
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
4775
5.78 IPS |
|
|
Object Detection (F32)
|
100% |
506
37.8 IPS |
|
|
Object Detection (F16)
|
100% |
499
37.3 IPS |
|
|
Object Detection (I8)
|
61% |
1092
81.6 IPS |
|
|
Face Detection (F32)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (I8)
|
86% |
2037
24.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1102
8.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
1101
8.54 IPS |
|
|
Depth Estimation (I8)
|
95% |
2159
16.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2110
2.78 IPS |
|
|
Style Transfer (F16)
|
100% |
2076
2.73 IPS |
|
|
Style Transfer (I8)
|
98% |
5014
6.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
700
25.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
726
25.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1874
66.9 IPS |
|
|
Text Classification (F32)
|
100% |
508
730.1 IPS |
|
|
Text Classification (F16)
|
100% |
526
756.3 IPS |
|
|
Text Classification (I8)
|
92% |
384
552.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1162
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1147
21.1 IPS |
|
|
Machine Translation (I8)
|
64% |
497
9.15 IPS |
