OnePlus NE2210
Geekbench ML Score
220
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2022 08:40 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
74
7.90 IPS |
|
|
Image Classification (F16)
|
100% |
72
7.71 IPS |
|
|
Image Classification (I8)
|
81% |
205
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
284
1.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
281
1.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
715
4.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
218
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
205
0.83 IPS |
|
|
Object Detection (F32)
|
100% |
125
4.37 IPS |
|
|
Object Detection (F16)
|
100% |
122
4.27 IPS |
|
|
Object Detection (I8)
|
52% |
253
8.89 IPS |
|
|
Face Detection (F32)
|
100% |
224
2.58 IPS |
|
|
Face Detection (F16)
|
100% |
216
2.48 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.80 IPS |
|
|
Text Classification (F32)
|
100% |
158
62.5 IPS |
|
|
Text Classification (F16)
|
100% |
152
60.2 IPS |
|
|
Machine Translation (F32)
|
100% |
542
83.6 IPS |
|
|
Machine Translation (F16)
|
100% |
543
83.7 IPS |
