HUAWEI MACHC-WAX9
Geekbench AI Score
1240
Single Precision Score
573
Half Precision Score
1362
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jandres |
| Upload Date | April 06 2025 10:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI MACHC-WAX9 |
| Motherboard | HUAWEI MACHC-WAX9-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
887
165.0 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
96% |
966
180.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1186
1.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
2894
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
58% |
854
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1872
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
653
7.75 IPS |
|
|
Face Detection (Q)
|
96% |
2570
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2428
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
818
6.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
3178
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4564
5.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3193
4.10 IPS |
|
|
Style Transfer (Q)
|
87% |
5784
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1151
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.1 IPS |
|
|
Text Classification (HP)
|
100% |
337
449.6 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
68% |
1020
19.7 IPS |
