HUAWEI NBD-WXX9
Geekbench AI Score
1249
Single Precision Score
681
Half Precision Score
2246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 14 2024 06:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1115G4 |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HUAWEI NBD-WXX9 |
| Motherboard | HUAWEI NBD-WXX9-PCB-B4 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
889
165.3 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
99% |
1924
358.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
956
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1375
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
4815
5.65 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
1794
144.2 IPS |
|
|
Face Detection (SP)
|
100% |
2018
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
97% |
3964
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
5185
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3693
4.75 IPS |
|
|
Style Transfer (HP)
|
100% |
2955
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
8386
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
550
734.6 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
65% |
1414
28.4 IPS |
