OnePlus PJF110
Geekbench ML Score
977
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 02:22 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% |
469
87.7 IPS |
|
|
Image Classification (F16)
|
100% |
467
87.4 IPS |
|
|
Image Classification (I8)
|
97% |
840
157.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
589
9.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
650
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1031
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1034
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
4742
5.74 IPS |
|
|
Object Detection (F32)
|
100% |
508
37.9 IPS |
|
|
Object Detection (F16)
|
100% |
501
37.4 IPS |
|
|
Object Detection (I8)
|
61% |
1069
79.8 IPS |
|
|
Face Detection (F32)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (I8)
|
86% |
2009
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1097
8.50 IPS |
|
|
Depth Estimation (F16)
|
100% |
1082
8.39 IPS |
|
|
Depth Estimation (I8)
|
95% |
2047
15.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2091
2.75 IPS |
|
|
Style Transfer (F16)
|
100% |
2088
2.75 IPS |
|
|
Style Transfer (I8)
|
98% |
4911
6.46 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
720
25.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
710
25.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1794
64.1 IPS |
|
|
Text Classification (F32)
|
100% |
534
766.8 IPS |
|
|
Text Classification (F16)
|
100% |
550
791.0 IPS |
|
|
Text Classification (I8)
|
92% |
420
604.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1130
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1146
21.1 IPS |
|
|
Machine Translation (I8)
|
64% |
463
8.53 IPS |
