HUAWEI DRC-WXX
Geekbench AI Score
1486
Single Precision Score
718
Half Precision Score
2631
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ARALjfri |
| Upload Date | April 12 2025 10:47 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1160G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI DRC-WXX |
| Motherboard | HUAWEI DRC-WXX-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1160G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1111
206.6 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
99% |
3199
596.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1687
1.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
7609
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
86% |
2169
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4269
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2783
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1027
7.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
6307
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4815
6.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3678
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
11606
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2066
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
746
995.2 IPS |
|
|
Text Classification (HP)
|
100% |
462
617.2 IPS |
|
|
Text Classification (Q)
|
97% |
306
409.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (Q)
|
65% |
1353
27.2 IPS |
