OnePlus 6T
Geekbench ML Score
393
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 11:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OnePlus 6T |
| Model ID | OnePlus ONEPLUS A6013 |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
488
52.2 IPS |
|
|
Image Classification (F16)
|
100% |
728
78.0 IPS |
|
|
Image Classification (I8)
|
80% |
1045
111.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
650
4.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
736
4.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
2358
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
283
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
676
2.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
1289
5.22 IPS |
|
|
Object Detection (F32)
|
100% |
280
9.84 IPS |
|
|
Object Detection (F16)
|
100% |
358
12.6 IPS |
|
|
Object Detection (I8)
|
52% |
445
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
720
8.27 IPS |
|
|
Face Detection (F16)
|
97% |
845
9.71 IPS |
|
|
Face Detection (I8)
|
75% |
1650
19.0 IPS |
|
|
Text Classification (F32)
|
54% |
9
3.64 IPS |
|
|
Text Classification (F16)
|
54% |
9
3.58 IPS |
|
|
Machine Translation (F32)
|
100% |
234
36.1 IPS |
|
|
Machine Translation (F16)
|
100% |
234
36.1 IPS |
