HUAWEI KLVF-XX
Geekbench AI Score
1818
Single Precision Score
797
Half Precision Score
3481
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | daBukhari |
| Upload Date | November 17 2025 05:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI KLVF-XX |
| Motherboard | HUAWEI KLVF-XX-PCB-B1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
790
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
99% |
2867
534.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
2540
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2793
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2088
2.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
8409
9.86 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
86% |
3058
245.7 IPS |
|
|
Face Detection (SP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
4241
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4046
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1061
8.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
7188
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7176
9.22 IPS |
|
|
Style Transfer (HP)
|
100% |
5212
6.70 IPS |
|
|
Style Transfer (Q)
|
98% |
12484
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2760
102.2 IPS |
|
|
Text Classification (SP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
387
516.2 IPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (Q)
|
65% |
1533
30.8 IPS |
