HONOR ANY-NX1
Geekbench ML Score
249
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 18 2023 02:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | HONOR ANY-NX1 |
| Model ID | HONOR ANY-NX1 |
| Motherboard | ANYCQ |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
174
18.6 IPS |
|
|
Image Classification (F16)
|
100% |
157
16.8 IPS |
|
|
Image Classification (I8)
|
81% |
184
19.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
619
3.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
149
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
159
0.64 IPS |
|
|
Object Detection (F32)
|
100% |
165
5.80 IPS |
|
|
Object Detection (F16)
|
100% |
180
6.33 IPS |
|
|
Object Detection (I8)
|
52% |
251
8.81 IPS |
|
|
Face Detection (F32)
|
100% |
305
3.50 IPS |
|
|
Face Detection (F16)
|
100% |
300
3.45 IPS |
|
|
Face Detection (I8)
|
75% |
390
4.49 IPS |
|
|
Text Classification (F32)
|
100% |
278
109.8 IPS |
|
|
Text Classification (F16)
|
100% |
275
108.7 IPS |
|
|
Machine Translation (F32)
|
100% |
336
51.8 IPS |
|
|
Machine Translation (F16)
|
100% |
337
51.9 IPS |
