HUAWEI MDG-XX
Geekbench AI Score
1430
Single Precision Score
691
Half Precision Score
2502
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GKAldibani |
| Upload Date | October 21 2025 10:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI MDG-XX |
| Motherboard | HUAWEI MDG-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1112
206.8 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
99% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
107
1.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
541
8.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
582
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
11211
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
86% |
3258
261.8 IPS |
|
|
Face Detection (SP)
|
100% |
3815
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
4547
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4126
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
8339
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7959
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5617
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
11866
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2968
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
495
661.2 IPS |
|
|
Text Classification (Q)
|
97% |
926
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
65% |
1628
32.7 IPS |
