HUAWEI HBP-AL00
Geekbench ML Score
275
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 27 2024 08:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI HBP-AL00 |
| Model ID | HUAWEI HBP-AL00 |
| Motherboard | HBP |
| 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 | 15.23 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
37.0 IPS |
|
|
Image Classification (F16)
|
100% |
93
17.4 IPS |
|
|
Image Classification (I8)
|
96% |
91
17.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
291
4.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
170
2.83 IPS |
|
|
Image Segmentation (I8)
|
98% |
162
2.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
469
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
208
0.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
207
0.25 IPS |
|
|
Object Detection (F32)
|
100% |
142
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
85
6.36 IPS |
|
|
Object Detection (I8)
|
67% |
82
6.13 IPS |
|
|
Face Detection (F32)
|
100% |
575
6.83 IPS |
|
|
Face Detection (F16)
|
97% |
357
4.24 IPS |
|
|
Face Detection (I8)
|
87% |
343
4.08 IPS |
|
|
Depth Estimation (F32)
|
100% |
610
4.73 IPS |
|
|
Depth Estimation (F16)
|
100% |
294
2.28 IPS |
|
|
Depth Estimation (I8)
|
95% |
289
2.24 IPS |
|
|
Style Transfer (F32)
|
100% |
1276
1.68 IPS |
|
|
Style Transfer (F16)
|
100% |
671
0.88 IPS |
|
|
Style Transfer (I8)
|
98% |
670
0.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
263
9.41 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
145
5.19 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
144
5.16 IPS |
|
|
Text Classification (F32)
|
100% |
321
461.5 IPS |
|
|
Text Classification (F16)
|
100% |
322
462.6 IPS |
|
|
Text Classification (I8)
|
92% |
463
665.9 IPS |
|
|
Machine Translation (F32)
|
100% |
527
9.70 IPS |
|
|
Machine Translation (F16)
|
100% |
524
9.65 IPS |
|
|
Machine Translation (I8)
|
64% |
405
7.45 IPS |
