OnePlus PJF110
Geekbench ML Score
989
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 02:50 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% |
465
86.9 IPS |
|
|
Image Classification (F16)
|
100% |
461
86.2 IPS |
|
|
Image Classification (I8)
|
97% |
865
161.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
570
9.52 IPS |
|
|
Image Segmentation (I8)
|
98% |
697
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1039
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1016
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
4893
5.92 IPS |
|
|
Object Detection (F32)
|
100% |
510
38.1 IPS |
|
|
Object Detection (F16)
|
100% |
507
37.9 IPS |
|
|
Object Detection (I8)
|
61% |
1228
91.6 IPS |
|
|
Face Detection (F32)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (I8)
|
86% |
1956
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1088
8.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
1098
8.51 IPS |
|
|
Depth Estimation (I8)
|
95% |
2102
16.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2090
2.75 IPS |
|
|
Style Transfer (F16)
|
100% |
2106
2.77 IPS |
|
|
Style Transfer (I8)
|
98% |
5172
6.80 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
706
25.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
739
26.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1791
64.0 IPS |
|
|
Text Classification (F32)
|
100% |
540
776.4 IPS |
|
|
Text Classification (F16)
|
100% |
536
770.2 IPS |
|
|
Text Classification (I8)
|
92% |
403
579.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1161
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1137
20.9 IPS |
|
|
Machine Translation (I8)
|
64% |
533
9.80 IPS |
