HUAWEI WRT-WX9
Geekbench AI Score
644
Single Precision Score
312
Half Precision Score
770
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | RAAlamoudi |
| Upload Date | September 27 2025 11:53 AM |
| Views | 21 |
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% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
96% |
620
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
503
8.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
870
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
1468
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
151
11.9 IPS |
|
|
Object Detection (Q)
|
58% |
414
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
1174
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (Q)
|
96% |
1328
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1087
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
1576
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2254
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1599
2.06 IPS |
|
|
Style Transfer (Q)
|
87% |
3064
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
432
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
672
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
370
494.2 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.3 IPS |
|
|
Text Classification (Q)
|
97% |
146
195.9 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (Q)
|
68% |
617
11.9 IPS |
