HUAWEI MACHC-WAX9
Geekbench AI Score
1310
Single Precision Score
1272
Half Precision Score
1007
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ClemensWec |
| Upload Date | July 29 2025 02:46 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX250 |
| 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% |
343
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6790
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3526
4.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
5427
6.36 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.6 IPS |
|
|
Object Detection (Q)
|
83% |
321
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
642
7.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
2279
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1971
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
1902
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8626
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5271
6.78 IPS |
|
|
Style Transfer (Q)
|
98% |
7395
9.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2191
80.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1572
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.0 IPS |
|
|
Text Classification (HP)
|
100% |
610
814.6 IPS |
|
|
Text Classification (Q)
|
97% |
344
461.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1041
18.0 IPS |
|
|
Machine Translation (Q)
|
70% |
493
9.25 IPS |
