HUAWEI MACHC-WAX9
Geekbench AI Score
972
Single Precision Score
479
Half Precision Score
1033
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 10:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (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% |
568
105.6 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
96% |
767
143.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
686
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1559
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1180
1.38 IPS |
|
|
Pose Estimation (Q)
|
87% |
2666
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
86% |
574
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
541
6.43 IPS |
|
|
Face Detection (Q)
|
96% |
1430
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1743
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
697
5.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
1788
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3938
5.06 IPS |
|
|
Style Transfer (HP)
|
100% |
2866
3.68 IPS |
|
|
Style Transfer (Q)
|
87% |
5043
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
781
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
586
782.8 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.1 IPS |
|
|
Text Classification (Q)
|
97% |
219
293.0 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
60% |
611
13.6 IPS |
