HUAWEI MACHC-WAX9
Geekbench ML Score
1489
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:39 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 | NVIDIA GeForce MX250 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
585
109.5 IPS |
|
|
Image Classification (F16)
|
100% |
587
109.8 IPS |
|
|
Image Classification (I8)
|
100% |
507
94.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
680
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4510
5.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
4476
5.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
4053
4.91 IPS |
|
|
Object Detection (F32)
|
100% |
723
54.0 IPS |
|
|
Object Detection (F16)
|
100% |
730
54.5 IPS |
|
|
Object Detection (I8)
|
58% |
644
48.1 IPS |
|
|
Face Detection (F32)
|
100% |
1240
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (I8)
|
89% |
1021
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2629
20.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2621
20.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2268
17.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10368
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
10388
13.7 IPS |
|
|
Style Transfer (I8)
|
98% |
8884
11.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2646
94.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2996
107.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1950
69.7 IPS |
|
|
Text Classification (F32)
|
100% |
768
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
856
1.23 KIPS |
|
|
Text Classification (I8)
|
98% |
470
674.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1090
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
68% |
545
10.0 IPS |
