OnePlus DN2103
Geekbench ML Score
359
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 02:16 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus DN2103 |
| Model ID | OnePlus DN2103 |
| 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 | 7.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
270
29.0 IPS |
|
|
Image Classification (F16)
|
100% |
236
25.3 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
582
3.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
587
3.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
696
4.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
176
0.71 IPS |
|
|
Object Detection (F32)
|
100% |
314
11.0 IPS |
|
|
Object Detection (F16)
|
100% |
301
10.5 IPS |
|
|
Object Detection (I8)
|
52% |
283
9.92 IPS |
|
|
Face Detection (F32)
|
100% |
559
6.42 IPS |
|
|
Face Detection (F16)
|
100% |
588
6.75 IPS |
|
|
Face Detection (I8)
|
75% |
425
4.89 IPS |
|
|
Text Classification (F32)
|
100% |
335
132.3 IPS |
|
|
Text Classification (F16)
|
100% |
323
127.8 IPS |
|
|
Machine Translation (F32)
|
100% |
492
75.8 IPS |
|
|
Machine Translation (F16)
|
100% |
575
88.6 IPS |
