HUAWEI MACH-WX9
Geekbench AI Score
873
Single Precision Score
1038
Half Precision Score
724
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 04:49 PM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI MACH-WX9 |
| Motherboard | HUAWEI MACH-WX9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
100% |
369
68.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
419
6.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
1855
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
98% |
468
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
427
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (HP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
724
8.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2094
16.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1519
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5391
6.93 IPS |
|
|
Style Transfer (HP)
|
100% |
8451
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4484
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
906
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.5 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.2 IPS |
|
|
Text Classification (Q)
|
97% |
277
370.7 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.45 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
70% |
263
4.92 IPS |
