HONOR HGE-WX6
Geekbench AI Score
4477
Single Precision Score
5977
Half Precision Score
8995
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | funskeen |
| Upload Date | February 19 2025 08:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2796
520.0 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.1 IPS |
|
|
Image Classification (Q)
|
99% |
5014
935.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3904
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6391
103.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8976
145.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10411
12.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
7693
8.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
31742
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
3766
298.7 IPS |
|
|
Object Detection (Q)
|
90% |
5251
419.9 IPS |
|
|
Face Detection (SP)
|
100% |
7094
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
11265
133.8 IPS |
|
|
Face Detection (Q)
|
100% |
16831
200.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9801
75.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
15369
118.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19675
153.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26305
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38702
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70052
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4229
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6482
239.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10582
391.9 IPS |
|
|
Text Classification (SP)
|
71% |
1080
1.56 KIPS |
|
|
Text Classification (HP)
|
71% |
1269
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
1238
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1522
26.2 IPS |
