Huawei Mate 20 Pro
Geekbench ML Score
365
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 12:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Huawei Mate 20 Pro |
| Model ID | HUAWEI LYA-L29 |
| Motherboard | LYA |
| CPU Information | |
|---|---|
| Name | vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 1 part 3392 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 1.92 GHz |
| Cluster 3 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 5.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
242
25.9 IPS |
|
|
Image Classification (F16)
|
99% |
291
31.2 IPS |
|
|
Image Classification (I8)
|
81% |
222
23.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
473
2.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
462
2.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
411
2.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
207
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
1319
5.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
397
13.9 IPS |
|
|
Object Detection (F16)
|
99% |
516
18.1 IPS |
|
|
Object Detection (I8)
|
52% |
270
9.48 IPS |
|
|
Face Detection (F32)
|
100% |
490
5.63 IPS |
|
|
Face Detection (F16)
|
100% |
477
5.49 IPS |
|
|
Face Detection (I8)
|
75% |
318
3.65 IPS |
|
|
Text Classification (F32)
|
100% |
563
222.9 IPS |
|
|
Text Classification (F16)
|
100% |
565
223.6 IPS |
|
|
Machine Translation (F32)
|
100% |
390
60.0 IPS |
|
|
Machine Translation (F16)
|
100% |
388
59.8 IPS |
