HUAWEI ALN-AL00
Geekbench ML Score
438
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 07:13 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ALN-AL00 |
| Model ID | HUAWEI ALN-AL00 |
| Motherboard | ALN |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3330 revision 2 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 4 Cores @ 1.53 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.62 GHz |
| Memory Information | |
|---|---|
| Size | 11.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
35.8 IPS |
|
|
Image Classification (F16)
|
100% |
194
36.3 IPS |
|
|
Image Classification (I8)
|
97% |
494
92.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
3.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
237
3.95 IPS |
|
|
Image Segmentation (I8)
|
98% |
503
8.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
326
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
319
0.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
1413
1.71 IPS |
|
|
Object Detection (F32)
|
100% |
192
14.3 IPS |
|
|
Object Detection (F16)
|
100% |
201
15.0 IPS |
|
|
Object Detection (I8)
|
61% |
641
47.9 IPS |
|
|
Face Detection (F32)
|
100% |
458
5.45 IPS |
|
|
Face Detection (F16)
|
100% |
462
5.49 IPS |
|
|
Face Detection (I8)
|
86% |
1143
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
407
3.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
410
3.18 IPS |
|
|
Depth Estimation (I8)
|
95% |
1250
9.69 IPS |
|
|
Style Transfer (F32)
|
100% |
697
0.92 IPS |
|
|
Style Transfer (F16)
|
100% |
697
0.92 IPS |
|
|
Style Transfer (I8)
|
98% |
1888
2.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
222
7.92 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
223
7.96 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
913
32.6 IPS |
|
|
Text Classification (F32)
|
100% |
305
437.8 IPS |
|
|
Text Classification (F16)
|
100% |
279
400.5 IPS |
|
|
Text Classification (I8)
|
92% |
481
691.3 IPS |
|
|
Machine Translation (F32)
|
100% |
469
8.63 IPS |
|
|
Machine Translation (F16)
|
100% |
466
8.58 IPS |
|
|
Machine Translation (I8)
|
64% |
510
9.39 IPS |
