HUAWEI KLVD-WXX9
Geekbench AI Score
1296
Single Precision Score
641
Half Precision Score
2421
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| 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 i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
896
166.6 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.4 IPS |
|
|
Image Classification (Q)
|
99% |
2676
499.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1204
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1930
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
6815
7.99 IPS |
|
|
Object Detection (SP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (HP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
86% |
1988
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (Q)
|
97% |
3916
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2683
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
963
7.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
5920
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4183
5.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3522
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
8806
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1982
73.4 IPS |
|
|
Text Classification (SP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.5 IPS |
|
|
Text Classification (Q)
|
97% |
356
477.4 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1103
22.2 IPS |
