OnePlus Nord
Geekbench ML Score
332
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 11 2021 03:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OnePlus Nord |
| Model ID | OnePlus AC2001 |
| Motherboard | lito |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
295
31.6 IPS |
|
|
Image Classification (F16)
|
100% |
390
41.7 IPS |
|
|
Image Classification (I8)
|
80% |
549
58.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
418
2.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
506
3.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
1577
9.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
323
1.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
4031
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
268
9.39 IPS |
|
|
Object Detection (F16)
|
100% |
255
8.96 IPS |
|
|
Object Detection (I8)
|
52% |
705
24.7 IPS |
|
|
Face Detection (F32)
|
100% |
406
4.67 IPS |
|
|
Face Detection (F16)
|
97% |
496
5.70 IPS |
|
|
Face Detection (I8)
|
75% |
2432
27.9 IPS |
|
|
Text Classification (F32)
|
54% |
10
3.81 IPS |
|
|
Text Classification (F16)
|
54% |
9
3.51 IPS |
|
|
Machine Translation (F32)
|
100% |
309
47.6 IPS |
|
|
Machine Translation (F16)
|
100% |
310
47.7 IPS |
