OnePlus NE2210
Geekbench ML Score
169
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2022 10:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus NE2210 |
| Model ID | OnePlus NE2210 |
| Motherboard | sweetin |
| 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 | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
54
5.82 IPS |
|
|
Image Classification (F16)
|
100% |
55
5.86 IPS |
|
|
Image Classification (I8)
|
81% |
179
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
1.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
1.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
619
3.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
136
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
136
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
94
3.32 IPS |
|
|
Object Detection (F16)
|
100% |
95
3.34 IPS |
|
|
Object Detection (I8)
|
52% |
289
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
164
1.88 IPS |
|
|
Face Detection (F16)
|
100% |
161
1.85 IPS |
|
|
Face Detection (I8)
|
75% |
409
4.70 IPS |
|
|
Text Classification (F32)
|
100% |
211
83.4 IPS |
|
|
Text Classification (F16)
|
100% |
243
96.2 IPS |
|
|
Machine Translation (F32)
|
100% |
219
33.7 IPS |
|
|
Machine Translation (F16)
|
100% |
224
34.5 IPS |
