HUAWEI MACH-WX9
Geekbench AI Score
1388
Single Precision Score
2058
Half Precision Score
1932
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 06:09 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| 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% |
886
164.7 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (Q)
|
100% |
1247
231.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1752
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (HP)
|
99% |
2237
2.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
3210
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
99% |
1457
115.9 IPS |
|
|
Object Detection (Q)
|
88% |
1345
107.9 IPS |
|
|
Face Detection (SP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
4230
50.3 IPS |
|
|
Face Detection (Q)
|
97% |
3826
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2717
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4496
34.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4200
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6226
8.00 IPS |
|
|
Style Transfer (HP)
|
100% |
9318
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7747
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1931
71.5 IPS |
|
|
Text Classification (SP)
|
71% |
518
748.6 IPS |
|
|
Text Classification (HP)
|
71% |
578
835.6 IPS |
|
|
Text Classification (Q)
|
92% |
438
588.9 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (HP)
|
97% |
734
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
730
12.6 IPS |
