HUAWEI MACH-WX9
Geekbench AI Score
1531
Single Precision Score
1547
Half Precision Score
2508
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 06:02 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz |
| 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% |
611
113.7 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
100% |
1109
206.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1123
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
3790
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (HP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (Q)
|
87% |
1863
149.4 IPS |
|
|
Face Detection (SP)
|
100% |
2399
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
4916
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2931
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2955
22.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
4171
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5964
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
6191
7.96 IPS |
|
|
Style Transfer (Q)
|
98% |
12248
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1322
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2485
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (Q)
|
91% |
1074
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1844
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1677
28.9 IPS |
