HONOR HGE-WX6
Geekbench AI Score
4384
Single Precision Score
5873
Half Precision Score
8759
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 11:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft 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% |
2744
510.3 IPS |
|
|
Image Classification (HP)
|
100% |
3715
690.9 IPS |
|
|
Image Classification (Q)
|
99% |
4513
841.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6764
109.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7664
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
7294
8.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
29729
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
3673
291.4 IPS |
|
|
Object Detection (Q)
|
90% |
5222
417.6 IPS |
|
|
Face Detection (SP)
|
100% |
6967
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
10996
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
16435
195.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9873
76.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
14825
114.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
18968
147.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25547
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32192
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
68120
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10427
386.2 IPS |
|
|
Text Classification (SP)
|
71% |
981
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1167
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1930
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1942
33.6 IPS |
