HUAWEI HRY-AL00T
Geekbench ML Score
93
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | January 08 2025 06:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI HRY-AL00T |
| Model ID | HUAWEI HRY-AL00T |
| Motherboard | HRY-AL00T |
| CPU Information | |
|---|---|
| Name | ARM vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 4 Cores @ 1.71 GHz |
| Cluster 2 | 4 Cores @ 2.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
41
4.37 IPS |
|
|
Image Classification (F16)
|
100% |
37
3.95 IPS |
|
|
Image Classification (I8)
|
81% |
118
12.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
151
0.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
155
0.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
206
1.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
63
0.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
37
0.15 IPS |
|
|
Object Detection (F32)
|
100% |
61
2.13 IPS |
|
|
Object Detection (F16)
|
100% |
59
2.07 IPS |
|
|
Object Detection (I8)
|
52% |
169
5.92 IPS |
|
|
Face Detection (F32)
|
100% |
108
1.24 IPS |
|
|
Face Detection (F16)
|
100% |
111
1.28 IPS |
|
|
Face Detection (I8)
|
75% |
159
1.82 IPS |
|
|
Text Classification (F32)
|
100% |
160
63.3 IPS |
|
|
Text Classification (F16)
|
100% |
160
63.3 IPS |
|
|
Machine Translation (F32)
|
100% |
87
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
87
13.4 IPS |
