HUAWEI TAH-AN00
Geekbench ML Score
316
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | November 26 2024 04:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI TAH-AN00 |
| Model ID | HUAWEI TAH-AN00 |
| Motherboard | TAH |
| 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 | 7.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
180
19.3 IPS |
|
|
Image Classification (F16)
|
99% |
136
14.6 IPS |
|
|
Image Classification (I8)
|
81% |
212
22.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
351
2.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
335
2.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
395
2.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
188
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
1283
5.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
64
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
265
9.32 IPS |
|
|
Object Detection (F16)
|
99% |
711
25.0 IPS |
|
|
Object Detection (I8)
|
52% |
304
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
295
3.38 IPS |
|
|
Face Detection (F16)
|
100% |
361
4.14 IPS |
|
|
Face Detection (I8)
|
75% |
301
3.46 IPS |
|
|
Text Classification (F32)
|
100% |
548
216.8 IPS |
|
|
Text Classification (F16)
|
100% |
548
216.6 IPS |
|
|
Machine Translation (F32)
|
100% |
390
60.2 IPS |
|
|
Machine Translation (F16)
|
100% |
391
60.3 IPS |
