HUAWEI MCLF-XX
Geekbench AI Score
1684
Single Precision Score
1656
Half Precision Score
1113
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 18 2025 01:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HUAWEI MCLF-XX |
| Motherboard | HUAWEI MCLF-XX-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (Q)
|
100% |
640
119.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
799
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5476
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
6323
7.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
3470
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
839
66.5 IPS |
|
|
Object Detection (HP)
|
98% |
713
56.7 IPS |
|
|
Object Detection (Q)
|
86% |
699
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1262
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3166
24.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3566
27.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2301
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11766
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15842
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8348
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2493
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
896
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
675
900.6 IPS |
|
|
Text Classification (HP)
|
100% |
254
338.5 IPS |
|
|
Text Classification (Q)
|
97% |
334
447.1 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
70% |
327
6.13 IPS |
