HONOR HGE-WX6
Geekbench AI Score
3035
Single Precision Score
3064
Half Precision Score
8051
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | funskeen |
| Upload Date | February 19 2025 07:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11320H @ 3.20GHz |
| 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% |
1907
354.7 IPS |
|
|
Image Classification (HP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (Q)
|
100% |
5352
995.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5319
86.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
13354
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (Q)
|
88% |
5154
413.1 IPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
4786
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
12900
153.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4605
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4700
36.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
13796
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9232
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9122
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34946
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7096
262.8 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
4395
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2999
51.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3011
51.9 IPS |
