OnePlus NE2211
Geekbench ML Score
294
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 15 2023 07:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus NE2211 |
| Model ID | OnePlus NE2211 |
| 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 | 10.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
118
12.7 IPS |
|
|
Image Classification (F16)
|
100% |
124
13.3 IPS |
|
|
Image Classification (I8)
|
81% |
174
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
391
2.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
380
2.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
635
3.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
250
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
189
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
211
7.41 IPS |
|
|
Object Detection (F16)
|
100% |
172
6.04 IPS |
|
|
Object Detection (I8)
|
52% |
209
7.32 IPS |
|
|
Face Detection (F32)
|
100% |
337
3.87 IPS |
|
|
Face Detection (F16)
|
100% |
344
3.95 IPS |
|
|
Face Detection (I8)
|
75% |
409
4.70 IPS |
|
|
Text Classification (F32)
|
100% |
373
147.7 IPS |
|
|
Text Classification (F16)
|
100% |
353
139.6 IPS |
|
|
Machine Translation (F32)
|
100% |
762
117.4 IPS |
|
|
Machine Translation (F16)
|
100% |
763
117.5 IPS |
