OnePlus 7T
Geekbench ML Score
575
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2022 01:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus 7T |
| Model ID | OnePlus HD1901 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
574
61.5 IPS |
|
|
Image Classification (F16)
|
100% |
905
97.0 IPS |
|
|
Image Classification (I8)
|
80% |
1690
181.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
686
4.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
739
4.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
4055
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
409
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
951
3.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
3284
13.3 IPS |
|
|
Object Detection (F32)
|
100% |
429
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
436
15.3 IPS |
|
|
Object Detection (I8)
|
52% |
944
33.1 IPS |
|
|
Face Detection (F32)
|
100% |
781
8.97 IPS |
|
|
Face Detection (F16)
|
97% |
902
10.4 IPS |
|
|
Face Detection (I8)
|
75% |
2457
28.2 IPS |
|
|
Text Classification (F32)
|
54% |
14
5.44 IPS |
|
|
Text Classification (F16)
|
54% |
14
5.41 IPS |
|
|
Machine Translation (F32)
|
100% |
444
68.4 IPS |
|
|
Machine Translation (F16)
|
100% |
444
68.4 IPS |
