OnePlus Nord
Geekbench ML Score
346
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 10:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus Nord |
| Model ID | OnePlus AC2003 |
| Motherboard | lito |
| Governor | schedutil |
| 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 | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
286
30.7 IPS |
|
|
Image Classification (F16)
|
100% |
384
41.2 IPS |
|
|
Image Classification (I8)
|
80% |
1427
152.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
426
2.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
504
3.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
3253
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
142
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
322
1.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
2132
8.63 IPS |
|
|
Object Detection (F32)
|
100% |
268
9.42 IPS |
|
|
Object Detection (F16)
|
100% |
285
9.99 IPS |
|
|
Object Detection (I8)
|
52% |
682
23.9 IPS |
|
|
Face Detection (F32)
|
100% |
393
4.51 IPS |
|
|
Face Detection (F16)
|
97% |
476
5.47 IPS |
|
|
Face Detection (I8)
|
40% |
2550
29.3 IPS |
|
|
Text Classification (F32)
|
54% |
9
3.72 IPS |
|
|
Text Classification (F16)
|
54% |
9
3.64 IPS |
|
|
Machine Translation (F32)
|
100% |
290
44.7 IPS |
|
|
Machine Translation (F16)
|
100% |
294
45.3 IPS |
