OnePlus NE2210
Geekbench ML Score
352
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 14 2023 10:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus NE2210 |
| Model ID | OnePlus NE2210 |
| Motherboard | |
| 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 | 5.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
337
36.1 IPS |
|
|
Image Classification (F16)
|
100% |
327
35.1 IPS |
|
|
Image Classification (I8)
|
81% |
186
20.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
485
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
772
4.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
206
0.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
197
0.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
196
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
375
13.2 IPS |
|
|
Object Detection (F16)
|
100% |
377
13.2 IPS |
|
|
Object Detection (I8)
|
52% |
284
9.97 IPS |
|
|
Face Detection (F32)
|
100% |
541
6.22 IPS |
|
|
Face Detection (F16)
|
100% |
537
6.17 IPS |
|
|
Face Detection (I8)
|
75% |
495
5.69 IPS |
|
|
Text Classification (F32)
|
100% |
275
108.6 IPS |
|
|
Text Classification (F16)
|
100% |
291
115.0 IPS |
|
|
Machine Translation (F32)
|
100% |
414
63.8 IPS |
|
|
Machine Translation (F16)
|
100% |
418
64.4 IPS |
