OnePlus PJF110
Geekbench ML Score
972
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 08:11 AM |
| Views | 2 |
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% |
423
79.2 IPS |
|
|
Image Classification (F16)
|
100% |
463
86.7 IPS |
|
|
Image Classification (I8)
|
97% |
800
149.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
596
9.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
598
9.99 IPS |
|
|
Image Segmentation (I8)
|
98% |
589
9.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
1048
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
1014
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
4648
5.63 IPS |
|
|
Object Detection (F32)
|
100% |
508
37.9 IPS |
|
|
Object Detection (F16)
|
100% |
504
37.6 IPS |
|
|
Object Detection (I8)
|
61% |
1084
80.9 IPS |
|
|
Face Detection (F32)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (I8)
|
86% |
2011
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1088
8.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
1113
8.63 IPS |
|
|
Depth Estimation (I8)
|
95% |
2102
16.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2092
2.75 IPS |
|
|
Style Transfer (F16)
|
100% |
2116
2.78 IPS |
|
|
Style Transfer (I8)
|
98% |
4714
6.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
711
25.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
731
26.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1772
63.3 IPS |
|
|
Text Classification (F32)
|
100% |
530
761.9 IPS |
|
|
Text Classification (F16)
|
100% |
529
760.0 IPS |
|
|
Text Classification (I8)
|
92% |
379
545.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1171
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1163
21.4 IPS |
|
|
Machine Translation (I8)
|
64% |
546
10.0 IPS |
