OnePlus DN2101
Geekbench ML Score
342
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2022 05:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus DN2101 |
| Model ID | OnePlus DN2101 |
| Motherboard | k6893v1_64 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z_A/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
264
28.3 IPS |
|
|
Image Classification (F16)
|
100% |
246
26.3 IPS |
|
|
Image Classification (I8)
|
81% |
171
18.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
548
3.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
531
3.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
670
4.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
172
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
307
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
293
10.3 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.10 IPS |
|
|
Face Detection (F32)
|
100% |
521
5.98 IPS |
|
|
Face Detection (F16)
|
100% |
516
5.93 IPS |
|
|
Face Detection (I8)
|
75% |
407
4.67 IPS |
|
|
Text Classification (F32)
|
100% |
308
122.0 IPS |
|
|
Text Classification (F16)
|
100% |
300
118.7 IPS |
|
|
Machine Translation (F32)
|
100% |
480
74.0 IPS |
|
|
Machine Translation (F16)
|
100% |
519
80.0 IPS |
