HUAWEI DRC-WXX
Geekbench AI Score
1261
Single Precision Score
590
Half Precision Score
3160
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mbalansari |
| Upload Date | September 27 2025 02:34 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1130G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI DRC-WXX |
| Motherboard | HUAWEI DRC-WXX-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1130G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
997
185.4 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
99% |
2617
488.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
2772
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
6717
7.88 IPS |
|
|
Object Detection (SP)
|
100% |
897
71.1 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
86% |
2737
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
2173
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (Q)
|
97% |
4591
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2110
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
782
6.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
5612
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3621
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
2726
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
8977
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
903
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2567
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.3 IPS |
|
|
Text Classification (HP)
|
100% |
409
546.2 IPS |
|
|
Text Classification (Q)
|
97% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
65% |
1348
27.1 IPS |
