HUAWEI KLVD-WXX9
Geekbench AI Score
1289
Single Precision Score
694
Half Precision Score
2600
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 08:16 PM |
| Views | 8 |
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% |
907
168.7 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (Q)
|
99% |
2570
479.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1393
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1695
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1547
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
6895
8.08 IPS |
|
|
Object Detection (SP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
86% |
2157
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
2061
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
4290
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2533
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
997
7.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
6052
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4448
5.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3736
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
9206
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2654
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
487
649.9 IPS |
|
|
Text Classification (Q)
|
97% |
321
429.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.33 IPS |
|
|
Machine Translation (Q)
|
65% |
1304
26.2 IPS |
