HUAWEI MCLF-XX
Geekbench AI Score
2082
Single Precision Score
1016
Half Precision Score
4280
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | bmalwafi |
| Upload Date | April 12 2026 05:55 PM |
| Views | 6 |
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 MCLF-XX |
| Motherboard | HUAWEI MCLF-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% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
99% |
3054
569.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4378
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2641
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2438
2.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
10353
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (Q)
|
86% |
3346
268.9 IPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
5421
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4164
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1480
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8224
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7541
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
5844
7.51 IPS |
|
|
Style Transfer (Q)
|
98% |
14460
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3185
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.4 IPS |
|
|
Text Classification (Q)
|
97% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1953
39.2 IPS |
