HUAWEI NBLK-WAX9X
Geekbench AI Score
522
Single Precision Score
317
Half Precision Score
584
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | shalotaibi |
| Upload Date | April 12 2025 07:37 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HUAWEI NBLK-WAX9X |
| Motherboard | HUAWEI NBLK-WAX9X-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.7 IPS |
|
|
Image Classification (Q)
|
96% |
453
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
383
6.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
604
0.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
885
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
58% |
318
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (Q)
|
96% |
1140
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
882
6.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
474
3.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
1068
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1836
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1553
2.00 IPS |
|
|
Style Transfer (Q)
|
87% |
2047
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
326
434.6 IPS |
|
|
Text Classification (HP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (Q)
|
97% |
162
216.7 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
68% |
548
10.6 IPS |
