HUAWEI AGS6-W09
Geekbench ML Score
110
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 30 2024 09:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI AGS6-W09 |
| Model ID | HUAWEI AGS6-W09 |
| Motherboard | AGS6 |
| CPU Information | |
|---|---|
| Name | ARM vendor |
| 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 | 5.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
93
10.00 IPS |
|
|
Image Classification (F16)
|
100% |
93
9.97 IPS |
|
|
Image Classification (I8)
|
81% |
111
11.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
168
1.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
167
1.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
191
1.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
60
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
35
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
139
4.87 IPS |
|
|
Object Detection (F16)
|
100% |
138
4.85 IPS |
|
|
Object Detection (I8)
|
52% |
158
5.54 IPS |
|
|
Face Detection (F32)
|
100% |
150
1.73 IPS |
|
|
Face Detection (F16)
|
100% |
151
1.73 IPS |
|
|
Face Detection (I8)
|
75% |
147
1.69 IPS |
|
|
Text Classification (F32)
|
100% |
146
57.6 IPS |
|
|
Text Classification (F16)
|
100% |
146
57.7 IPS |
|
|
Machine Translation (F32)
|
100% |
74
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
74
11.4 IPS |
