HUAWEI MACHC-WAX9
Geekbench ML Score
1277
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:22 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
840
157.2 IPS |
|
|
Image Classification (F16)
|
100% |
753
140.9 IPS |
|
|
Image Classification (I8)
|
97% |
847
158.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
579
9.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
599
10.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
757
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1725
2.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
1560
1.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
4219
5.11 IPS |
|
|
Object Detection (F32)
|
100% |
864
64.5 IPS |
|
|
Object Detection (F16)
|
100% |
756
56.4 IPS |
|
|
Object Detection (I8)
|
60% |
773
57.7 IPS |
|
|
Face Detection (F32)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (I8)
|
87% |
1777
21.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2100
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2305
17.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
3780
29.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4402
5.79 IPS |
|
|
Style Transfer (F16)
|
100% |
3803
5.00 IPS |
|
|
Style Transfer (I8)
|
85% |
6541
8.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1305
46.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1085
38.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1481
52.9 IPS |
|
|
Text Classification (F32)
|
100% |
1009
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
879
1.26 KIPS |
|
|
Text Classification (I8)
|
94% |
306
439.7 IPS |
|
|
Machine Translation (F32)
|
100% |
861
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1021
18.8 IPS |
