HUAWEI MACHC-WAX9
Geekbench ML Score
854
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI MACHC-WAX9 |
| Motherboard | HUAWEI MACHC-WAX9-PCB |
| Power Plan | Rovnovha |
| 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 |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
346
64.7 IPS |
|
|
Image Classification (F16)
|
100% |
373
69.9 IPS |
|
|
Image Classification (I8)
|
100% |
345
64.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
572
9.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
571
9.54 IPS |
|
|
Image Segmentation (I8)
|
98% |
491
8.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
2293
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2291
2.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
2108
2.55 IPS |
|
|
Object Detection (F32)
|
100% |
444
33.2 IPS |
|
|
Object Detection (F16)
|
100% |
444
33.1 IPS |
|
|
Object Detection (I8)
|
54% |
410
30.6 IPS |
|
|
Face Detection (F32)
|
100% |
782
9.30 IPS |
|
|
Face Detection (F16)
|
100% |
787
9.36 IPS |
|
|
Face Detection (I8)
|
89% |
658
7.82 IPS |
|
|
Depth Estimation (F32)
|
100% |
1683
13.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1682
13.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
1490
11.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5822
7.66 IPS |
|
|
Style Transfer (F16)
|
100% |
5852
7.70 IPS |
|
|
Style Transfer (I8)
|
98% |
5068
6.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1190
42.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1191
42.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
924
33.0 IPS |
|
|
Text Classification (F32)
|
100% |
458
658.8 IPS |
|
|
Text Classification (F16)
|
100% |
447
641.8 IPS |
|
|
Text Classification (I8)
|
98% |
282
405.1 IPS |
|
|
Machine Translation (F32)
|
100% |
456
8.39 IPS |
|
|
Machine Translation (F16)
|
100% |
457
8.40 IPS |
|
|
Machine Translation (I8)
|
70% |
300
5.53 IPS |
