HUAWEI MACHC-WAX9
Geekbench AI Score
679
Single Precision Score
327
Half Precision Score
908
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ClemensWec |
| Upload Date | July 29 2025 03:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| 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% |
413
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
96% |
616
115.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
942
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
568
0.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
1116
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.97 IPS |
|
|
Object Detection (Q)
|
58% |
281
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
96% |
968
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1419
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
582
4.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
2377
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3295
4.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2259
2.90 IPS |
|
|
Style Transfer (Q)
|
87% |
3707
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
854
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.4 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.6 IPS |
|
|
Text Classification (Q)
|
97% |
386
517.7 IPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.11 IPS |
|
|
Machine Translation (Q)
|
68% |
688
13.3 IPS |
