HUAWEI MCLF-XX
Geekbench AI Score
2543
Single Precision Score
1154
Half Precision Score
4057
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lamaarnu |
| Upload Date | March 23 2025 06:55 PM |
| Views | 20 |
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 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (Q)
|
99% |
4029
751.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1951
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3856
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2279
2.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
12680
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (Q)
|
86% |
3517
282.7 IPS |
|
|
Face Detection (SP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
6574
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5049
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1657
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9785
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8936
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7253
9.32 IPS |
|
|
Style Transfer (Q)
|
98% |
15321
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3169
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
675
900.6 IPS |
|
|
Text Classification (Q)
|
97% |
499
667.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2213
44.5 IPS |
