HUAWEI CLS-AL00
Geekbench ML Score
157
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 02:39 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI CLS-AL00 |
| Model ID | HUAWEI CLS-AL00 |
| Motherboard | CLS-AL00 |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores @ 3.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
120
22.5 IPS |
|
|
Image Classification (F16)
|
100% |
119
22.3 IPS |
|
|
Image Classification (I8)
|
97% |
61
11.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
155
2.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
154
2.58 IPS |
|
|
Image Segmentation (I8)
|
98% |
69
1.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
220
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
221
0.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
173
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
120
8.95 IPS |
|
|
Object Detection (F16)
|
100% |
121
9.00 IPS |
|
|
Object Detection (I8)
|
73% |
71
5.28 IPS |
|
|
Face Detection (F32)
|
100% |
301
3.58 IPS |
|
|
Face Detection (F16)
|
100% |
301
3.58 IPS |
|
|
Face Detection (I8)
|
86% |
135
1.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
269
2.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
264
2.05 IPS |
|
|
Depth Estimation (I8)
|
95% |
176
1.37 IPS |
|
|
Style Transfer (F32)
|
100% |
431
0.57 IPS |
|
|
Style Transfer (F16)
|
100% |
431
0.57 IPS |
|
|
Style Transfer (I8)
|
98% |
439
0.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
137
4.88 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
136
4.84 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
89
3.17 IPS |
|
|
Text Classification (F32)
|
100% |
125
179.0 IPS |
|
|
Text Classification (F16)
|
100% |
131
188.0 IPS |
|
|
Text Classification (I8)
|
92% |
42
59.8 IPS |
|
|
Machine Translation (F32)
|
100% |
252
4.65 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (I8)
|
64% |
74
1.35 IPS |
