HUAWEI DRC-WXX
Geekbench AI Score
884
Single Precision Score
449
Half Precision Score
1712
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ARALjfri |
| Upload Date | April 08 2025 06:48 PM |
| Views | 8 |
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% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.8 IPS |
|
|
Image Classification (Q)
|
99% |
1988
370.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1067
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
928
1.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
4254
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
86% |
1496
120.3 IPS |
|
|
Face Detection (SP)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (Q)
|
97% |
2805
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1355
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
642
4.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
4002
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2794
3.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2205
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
6681
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1217
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.1 IPS |
|
|
Text Classification (HP)
|
100% |
311
414.7 IPS |
|
|
Text Classification (Q)
|
97% |
239
320.4 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
65% |
1004
20.2 IPS |
