HUAWEI MCLG-XX
Geekbench AI Score
2780
Single Precision Score
1056
Half Precision Score
3913
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gaalmasoudi |
| Upload Date | April 10 2025 04:18 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI MCLG-XX |
| Motherboard | HUAWEI MCLG-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.9 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.2 IPS |
|
|
Image Classification (Q)
|
99% |
4781
891.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2223
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4692
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2731
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
14799
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
3538
284.3 IPS |
|
|
Face Detection (SP)
|
100% |
5410
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
5715
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1395
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9250
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10415
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6807
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
16834
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2771
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
502
669.6 IPS |
|
|
Text Classification (Q)
|
97% |
332
445.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
65% |
1851
37.2 IPS |
