HUAWEI MDF-XX
Geekbench AI Score
1457
Single Precision Score
706
Half Precision Score
3117
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rmaljahdali |
| Upload Date | October 24 2025 11:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI MDF-XX |
| Motherboard | HUAWEI MDF-XX-PCB |
| Power Plan | Balanced |
| 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% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
2571
479.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
3406
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2333
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
7617
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
1008
80.0 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
86% |
2585
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
97% |
4048
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2480
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1025
7.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
6189
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5216
6.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4210
5.41 IPS |
|
|
Style Transfer (Q)
|
98% |
10489
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2696
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
263
350.7 IPS |
|
|
Text Classification (Q)
|
97% |
435
582.1 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
65% |
1630
32.7 IPS |
