HUAWEI MACH-WX9
Geekbench AI Score
1460
Single Precision Score
1433
Half Precision Score
1118
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 05:25 PM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI MACH-WX9 |
| Motherboard | HUAWEI MACH-WX9 |
| 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 | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (Q)
|
99% |
327
60.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
801
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6611
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
5585
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
83% |
415
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1317
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
805
9.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
2876
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2551
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
2399
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11594
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6995
8.99 IPS |
|
|
Style Transfer (Q)
|
98% |
9650
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2519
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1777
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
564
753.1 IPS |
|
|
Text Classification (HP)
|
100% |
546
729.3 IPS |
|
|
Text Classification (Q)
|
97% |
363
486.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
96% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
70% |
420
7.88 IPS |
