HUAWEI WRT-WX9
Geekbench AI Score
645
Single Precision Score
319
Half Precision Score
773
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | RAAlamoudi |
| Upload Date | September 27 2025 05:18 PM |
| Views | 12 |
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% |
609
113.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
514
8.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
1482
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
58% |
413
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1174
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (Q)
|
96% |
1342
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1122
8.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
419
3.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
1465
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2252
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (Q)
|
87% |
3117
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
688
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
371
495.5 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.4 IPS |
|
|
Text Classification (Q)
|
97% |
153
205.4 IPS |
|
|
Machine Translation (SP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (Q)
|
68% |
618
11.9 IPS |
