OnePlus NE2210
Geekbench ML Score
2030
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 23 2022 06:32 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus NE2210 |
| Model ID | OnePlus NE2210 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1392
149.1 IPS |
|
|
Image Classification (F16)
|
100% |
9157
981.2 IPS |
|
|
Image Classification (I8)
|
80% |
21713
2.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2893
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
158
0.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
41184
254.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
596
2.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
10525
42.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
54592
220.9 IPS |
|
|
Object Detection (F32)
|
100% |
1028
36.1 IPS |
|
|
Object Detection (F16)
|
100% |
1800
63.2 IPS |
|
|
Object Detection (I8)
|
53% |
2039
71.6 IPS |
|
|
Face Detection (F32)
|
100% |
2022
23.2 IPS |
|
|
Face Detection (F16)
|
100% |
458
5.26 IPS |
|
|
Face Detection (I8)
|
76% |
46919
539.0 IPS |
|
|
Text Classification (F32)
|
100% |
18
7.22 IPS |
|
|
Text Classification (F16)
|
100% |
245
97.1 IPS |
|
|
Machine Translation (F32)
|
100% |
760
117.1 IPS |
|
|
Machine Translation (F16)
|
100% |
710
109.5 IPS |
