HUAWEI NOH-NX9
Geekbench ML Score
382
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 05:00 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI NOH-NX9 |
| Model ID | HUAWEI NOH-NX9 |
| Motherboard | NOH |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 2.04 GHz |
| Cluster 1 | 4 Cores @ 2.04 GHz |
| Cluster 2 | 3 Cores @ 2.54 GHz |
| Cluster 3 | 1 Core @ 3.13 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
267
28.6 IPS |
|
|
Image Classification (F16)
|
100% |
247
26.5 IPS |
|
|
Image Classification (I8)
|
81% |
253
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
460
2.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
519
3.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
4145
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
197
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
211
0.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
75
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
100
3.51 IPS |
|
|
Object Detection (F16)
|
100% |
3715
130.4 IPS |
|
|
Object Detection (I8)
|
52% |
362
12.7 IPS |
|
|
Face Detection (F32)
|
100% |
350
4.02 IPS |
|
|
Face Detection (F16)
|
100% |
421
4.83 IPS |
|
|
Face Detection (I8)
|
75% |
366
4.20 IPS |
|
|
Text Classification (F32)
|
100% |
641
253.5 IPS |
|
|
Text Classification (F16)
|
100% |
141
55.8 IPS |
|
|
Machine Translation (F32)
|
100% |
587
90.5 IPS |
|
|
Machine Translation (F16)
|
100% |
590
90.9 IPS |
