HUAWEI WRT-WX9
Geekbench AI Score
1006
Single Precision Score
473
Half Precision Score
1430
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | RAAlamoudi |
| Upload Date | November 15 2025 05:44 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8565U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HUAWEI WRT-WX9 |
| Motherboard | HUAWEI WRT-WX9-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (Q)
|
96% |
1853
345.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
1310
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1681
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
2825
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
58% |
457
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
516
6.13 IPS |
|
|
Face Detection (Q)
|
96% |
2457
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2273
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
706
5.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
2857
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4013
5.16 IPS |
|
|
Style Transfer (HP)
|
100% |
2956
3.80 IPS |
|
|
Style Transfer (Q)
|
87% |
4858
6.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1414
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.3 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.4 IPS |
|
|
Text Classification (Q)
|
97% |
267
358.4 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
68% |
887
17.1 IPS |
