HONOR HGE-WX6
Geekbench AI Score
1807
Single Precision Score
921
Half Precision Score
3913
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | funskeen |
| Upload Date | February 19 2025 07:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11320H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HONOR HGE-WX6 |
| Motherboard | HONOR HGE-WX6-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11320H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1768
328.8 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
99% |
4120
768.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2353
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2405
2.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
10049
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
86% |
3330
267.7 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
5641
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3295
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
7451
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5461
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
4272
5.49 IPS |
|
|
Style Transfer (Q)
|
98% |
10350
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2637
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.9 IPS |
|
|
Text Classification (Q)
|
97% |
1221
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
65% |
1853
37.2 IPS |
