HUAWEI MACH-WX9
Geekbench AI Score
1478
Single Precision Score
705
Half Precision Score
1738
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 02:28 PM |
| Views | 49 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| 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% |
1102
204.9 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.8 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1508
1.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
3511
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
58% |
1070
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (Q)
|
96% |
3183
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2863
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
929
7.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
3978
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5231
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3679
4.73 IPS |
|
|
Style Transfer (Q)
|
87% |
6862
8.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1376
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.9 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
68% |
1104
21.3 IPS |
