HUAWEI HBN-AL00
Geekbench ML Score
894
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 20 2024 12:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI HBN-AL00 |
| Model ID | HUAWEI HBN-AL00 |
| Motherboard | HBN |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3331 revision 0 |
| Base Frequency | 1.55 GHz |
| Cluster 1 | 4 Cores @ 1.55 GHz |
| Cluster 2 | 3 Cores @ 2.18 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
494
92.5 IPS |
|
|
Image Classification (F16)
|
100% |
470
88.0 IPS |
|
|
Image Classification (I8)
|
97% |
769
143.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
603
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
589
9.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
785
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
824
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
832
1.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
3035
3.68 IPS |
|
|
Object Detection (F32)
|
100% |
490
36.6 IPS |
|
|
Object Detection (F16)
|
100% |
485
36.2 IPS |
|
|
Object Detection (I8)
|
61% |
922
68.8 IPS |
|
|
Face Detection (F32)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (I8)
|
86% |
1843
21.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
988
7.66 IPS |
|
|
Depth Estimation (F16)
|
100% |
966
7.49 IPS |
|
|
Depth Estimation (I8)
|
95% |
1993
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1493
1.96 IPS |
|
|
Style Transfer (F16)
|
100% |
1600
2.10 IPS |
|
|
Style Transfer (I8)
|
98% |
3640
4.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
556
19.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
550
19.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1643
58.7 IPS |
|
|
Text Classification (F32)
|
100% |
626
899.9 IPS |
|
|
Text Classification (F16)
|
100% |
626
899.3 IPS |
|
|
Text Classification (I8)
|
92% |
396
568.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1028
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (I8)
|
64% |
510
9.39 IPS |
