HONOR HGE-WX6
Geekbench AI Score
3013
Single Precision Score
3208
Half Precision Score
1872
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | funskeen |
| Upload Date | February 19 2025 07:45 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
1531
284.6 IPS |
|
|
Image Classification (Q)
|
100% |
1229
228.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1426
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12231
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13307
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
6026
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
98% |
1422
113.1 IPS |
|
|
Object Detection (Q)
|
86% |
1252
100.7 IPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (Q)
|
97% |
2120
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6029
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7094
54.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4240
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25902
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33780
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15762
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1463
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
717
957.4 IPS |
|
|
Text Classification (HP)
|
100% |
358
478.5 IPS |
|
|
Text Classification (Q)
|
97% |
397
532.2 IPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
70% |
487
9.14 IPS |
