HUAWEI NBLB-WAX9N
Geekbench AI Score
939
Single Precision Score
423
Half Precision Score
1272
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ffBajaber |
| Upload Date | April 17 2026 05:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI NBLB-WAX9N |
| Motherboard | HUAWEI NBLB-WAX9N-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
1176
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1838
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
3438
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
58% |
1096
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
96% |
1859
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2424
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
618
4.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
2899
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3960
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3205
4.12 IPS |
|
|
Style Transfer (Q)
|
87% |
4961
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
565
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.9 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.8 IPS |
|
|
Text Classification (Q)
|
97% |
237
317.6 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (Q)
|
68% |
515
9.96 IPS |
