HUAWEI NBLB-WAX9N
Geekbench AI Score
987
Single Precision Score
510
Half Precision Score
1279
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rmalhazmi1 |
| Upload Date | April 08 2025 02:46 AM |
| Views | 6 |
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% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
601
9.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
1190
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
969
1.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
2201
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
58% |
604
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (Q)
|
96% |
2485
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2058
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
767
5.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
2943
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3466
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
2561
3.29 IPS |
|
|
Style Transfer (Q)
|
87% |
5200
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1185
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (Q)
|
97% |
277
370.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1203
23.2 IPS |
