OnePlus NE2210
Geekbench ML Score
1207
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2022 08:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus NE2210 |
| Model ID | OnePlus NE2210 |
| Motherboard | alioth |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
862
92.4 IPS |
|
|
Image Classification (F16)
|
100% |
1307
140.0 IPS |
|
|
Image Classification (I8)
|
80% |
1159
124.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2299
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3952
24.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
3319
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1303
5.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2239
9.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
2214
8.96 IPS |
|
|
Object Detection (F32)
|
100% |
651
22.8 IPS |
|
|
Object Detection (F16)
|
99% |
776
27.2 IPS |
|
|
Object Detection (I8)
|
53% |
779
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1625
18.7 IPS |
|
|
Face Detection (F16)
|
97% |
2521
29.0 IPS |
|
|
Face Detection (I8)
|
76% |
2164
24.9 IPS |
|
|
Text Classification (F32)
|
100% |
390
154.4 IPS |
|
|
Text Classification (F16)
|
98% |
357
141.2 IPS |
|
|
Machine Translation (F32)
|
100% |
537
82.7 IPS |
|
|
Machine Translation (F16)
|
100% |
538
82.8 IPS |
