HUAWEI KLVD-WXX9
Geekbench AI Score
1825
Single Precision Score
915
Half Precision Score
3377
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Tbshawli |
| Upload Date | December 12 2025 09:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI KLVD-WXX9 |
| Motherboard | HUAWEI KLVD-WXX9-PCB-B4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1555
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
99% |
3631
677.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
2179
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2220
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
8578
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1175
93.2 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
2627
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
2908
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5570
66.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3169
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8603
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5031
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4759
6.12 IPS |
|
|
Style Transfer (Q)
|
98% |
11798
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3405
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1219
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
615
821.2 IPS |
|
|
Text Classification (Q)
|
97% |
353
473.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.03 IPS |
|
|
Machine Translation (Q)
|
65% |
1595
32.0 IPS |
