HUAWEI AGRK-W09
Geekbench ML Score
90
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | May 29 2025 01:42 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI AGRK-W09 |
| Model ID | HUAWEI AGRK-W09 |
| Motherboard | AGRK-W09 |
| CPU Information | |
|---|---|
| Name | ARM Hisilicon |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
41
4.44 IPS |
|
|
Image Classification (F16)
|
100% |
39
4.19 IPS |
|
|
Image Classification (I8)
|
81% |
109
11.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
144
0.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
148
0.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
189
1.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
63
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
60
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
35
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
71
2.49 IPS |
|
|
Object Detection (F16)
|
100% |
64
2.24 IPS |
|
|
Object Detection (I8)
|
52% |
156
5.48 IPS |
|
|
Face Detection (F32)
|
100% |
112
1.29 IPS |
|
|
Face Detection (F16)
|
100% |
111
1.28 IPS |
|
|
Face Detection (I8)
|
75% |
145
1.67 IPS |
|
|
Text Classification (F32)
|
100% |
147
58.3 IPS |
|
|
Text Classification (F16)
|
100% |
147
58.3 IPS |
|
|
Machine Translation (F32)
|
100% |
76
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
76
11.7 IPS |
