HUAWEI WEB-W00
Geekbench ML Score
992
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 17 2025 01:20 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI WEB-W00 |
| Model ID | HUAWEI WEB-W00 |
| Motherboard | WEB |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3333 revision 1 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
519
97.1 IPS |
|
|
Image Classification (F16)
|
100% |
526
98.4 IPS |
|
|
Image Classification (I8)
|
97% |
885
165.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
661
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
663
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
926
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
901
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
885
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
3290
3.98 IPS |
|
|
Object Detection (F32)
|
100% |
522
39.0 IPS |
|
|
Object Detection (F16)
|
100% |
525
39.2 IPS |
|
|
Object Detection (I8)
|
61% |
1079
80.5 IPS |
|
|
Face Detection (F32)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (I8)
|
86% |
1951
23.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1055
8.18 IPS |
|
|
Depth Estimation (F16)
|
100% |
1045
8.11 IPS |
|
|
Depth Estimation (I8)
|
95% |
2093
16.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1719
2.26 IPS |
|
|
Style Transfer (F16)
|
100% |
1723
2.27 IPS |
|
|
Style Transfer (I8)
|
98% |
3763
4.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
620
22.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
610
21.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1891
67.5 IPS |
|
|
Text Classification (F32)
|
100% |
631
906.7 IPS |
|
|
Text Classification (F16)
|
100% |
654
939.9 IPS |
|
|
Text Classification (I8)
|
92% |
542
778.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (I8)
|
64% |
608
11.2 IPS |
