HUAWEI HBP-AL00
Geekbench ML Score
298
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 27 2024 08:11 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
224
41.8 IPS |
|
|
Image Classification (F16)
|
100% |
221
41.4 IPS |
|
|
Image Classification (I8)
|
97% |
471
88.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
280
4.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
157
2.62 IPS |
|
|
Image Segmentation (I8)
|
98% |
324
5.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
203
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
203
0.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
752
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
124
9.29 IPS |
|
|
Object Detection (F16)
|
100% |
124
9.27 IPS |
|
|
Object Detection (I8)
|
61% |
356
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
335
3.99 IPS |
|
|
Face Detection (F16)
|
100% |
336
4.00 IPS |
|
|
Face Detection (I8)
|
86% |
753
8.96 IPS |
|
|
Depth Estimation (F32)
|
100% |
272
2.11 IPS |
|
|
Depth Estimation (F16)
|
100% |
272
2.11 IPS |
|
|
Depth Estimation (I8)
|
95% |
775
6.01 IPS |
|
|
Style Transfer (F32)
|
100% |
479
0.63 IPS |
|
|
Style Transfer (F16)
|
100% |
480
0.63 IPS |
|
|
Style Transfer (I8)
|
98% |
1281
1.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
135
4.84 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
136
4.84 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
473
16.9 IPS |
|
|
Text Classification (F32)
|
100% |
164
235.1 IPS |
|
|
Text Classification (F16)
|
100% |
164
235.5 IPS |
|
|
Text Classification (I8)
|
92% |
283
406.9 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.57 IPS |
|
|
Machine Translation (F16)
|
100% |
302
5.57 IPS |
|
|
Machine Translation (I8)
|
64% |
360
6.63 IPS |
