HUAWEI MCLF-XX
Geekbench AI Score
1592
Single Precision Score
786
Half Precision Score
3215
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | esab |
| Upload Date | March 08 2026 12:02 AM |
| Views | 21 |
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% |
1143
212.5 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (Q)
|
99% |
2341
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
3238
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
8626
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.6 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (Q)
|
86% |
2271
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
4213
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3247
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
6276
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6057
7.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4500
5.79 IPS |
|
|
Style Transfer (Q)
|
98% |
11036
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2298
85.1 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
413
551.4 IPS |
|
|
Text Classification (Q)
|
97% |
777
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (Q)
|
65% |
1528
30.7 IPS |
