HUAWEI ALN-AL00
Geekbench ML Score
802
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 07 2024 02:06 PM |
| Views | 4 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
459
85.8 IPS |
|
|
Image Classification (F16)
|
100% |
444
83.1 IPS |
|
|
Image Classification (I8)
|
97% |
711
133.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
531
8.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
542
9.05 IPS |
|
|
Image Segmentation (I8)
|
98% |
726
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
716
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
691
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
2805
3.40 IPS |
|
|
Object Detection (F32)
|
100% |
452
33.8 IPS |
|
|
Object Detection (F16)
|
100% |
458
34.2 IPS |
|
|
Object Detection (I8)
|
61% |
900
67.2 IPS |
|
|
Face Detection (F32)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (I8)
|
86% |
1910
22.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
850
6.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
839
6.51 IPS |
|
|
Depth Estimation (I8)
|
95% |
1962
15.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1097
1.44 IPS |
|
|
Style Transfer (F16)
|
100% |
1161
1.53 IPS |
|
|
Style Transfer (I8)
|
98% |
3247
4.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
485
17.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
496
17.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1553
55.5 IPS |
|
|
Text Classification (F32)
|
100% |
596
856.3 IPS |
|
|
Text Classification (F16)
|
100% |
621
892.3 IPS |
|
|
Text Classification (I8)
|
92% |
464
666.2 IPS |
|
|
Machine Translation (F32)
|
100% |
657
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
922
17.0 IPS |
|
|
Machine Translation (I8)
|
64% |
386
7.11 IPS |
