Huawei D16 HUAWEI MCLG-XX
Geekbench AI Score
2545
Single Precision Score
2596
Half Precision Score
5923
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EssaQasimComara |
| Upload Date | December 15 2025 02:06 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI MCLG-XX |
| Motherboard | HUAWEI MCLG-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (Q)
|
100% |
3414
634.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2773
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
12188
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (Q)
|
88% |
4219
338.2 IPS |
|
|
Face Detection (SP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
7686
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3672
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3634
28.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9245
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8091
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8259
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26666
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6835
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2818
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2470
42.6 IPS |
