HUAWEI MACHC-WAX9
Geekbench AI Score
544
Single Precision Score
607
Half Precision Score
429
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ClemensWec |
| Upload Date | July 29 2025 02:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI MACHC-WAX9 |
| Motherboard | HUAWEI MACHC-WAX9-PCB |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
100% |
180
33.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
346
5.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1041
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (Q)
|
97% |
1209
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
98% |
218
17.4 IPS |
|
|
Object Detection (Q)
|
86% |
194
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (Q)
|
97% |
411
4.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
778
6.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
1369
10.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
942
7.54 IPS |
|
|
Style Transfer (SP)
|
100% |
4148
5.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4886
6.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2951
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
493
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
295
394.4 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.7 IPS |
|
|
Text Classification (Q)
|
97% |
167
223.3 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.18 IPS |
|
|
Machine Translation (Q)
|
70% |
156
2.93 IPS |
