HUAWEI MRC-WX0
Geekbench AI Score
1817
Single Precision Score
1827
Half Precision Score
1364
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | OsakaRider |
| Upload Date | August 18 2024 09:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI MRC-WX0 |
| Motherboard | HUAWEI MRC-WX0-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
100% |
357
66.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
962
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9685
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
8110
9.50 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (HP)
|
100% |
911
72.2 IPS |
|
|
Object Detection (Q)
|
89% |
502
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
920
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3717
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3553
27.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
2938
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17294
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10657
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13993
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2351
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.1 IPS |
|
|
Text Classification (HP)
|
100% |
584
779.0 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1079
18.7 IPS |
|
|
Machine Translation (Q)
|
59% |
441
10.2 IPS |
