Huawei P30 Pro
Geekbench ML Score
289
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | January 21 2024 04:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Huawei P30 Pro |
| Model ID | HUAWEI VOG-L29 |
| Motherboard | VOG |
| 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 | 7.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
172
18.5 IPS |
|
|
Image Classification (F16)
|
99% |
124
13.3 IPS |
|
|
Image Classification (I8)
|
81% |
216
23.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
309
1.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
310
1.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
403
2.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
177
0.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
1291
5.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
64
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
217
7.62 IPS |
|
|
Object Detection (F16)
|
99% |
359
12.6 IPS |
|
|
Object Detection (I8)
|
52% |
264
9.28 IPS |
|
|
Face Detection (F32)
|
100% |
245
2.81 IPS |
|
|
Face Detection (F16)
|
100% |
316
3.63 IPS |
|
|
Face Detection (I8)
|
75% |
304
3.49 IPS |
|
|
Text Classification (F32)
|
100% |
556
219.8 IPS |
|
|
Text Classification (F16)
|
100% |
556
219.8 IPS |
|
|
Machine Translation (F32)
|
100% |
395
60.8 IPS |
|
|
Machine Translation (F16)
|
100% |
394
60.8 IPS |
