HUAWEI KLVF-XX
Geekbench AI Score
1520
Single Precision Score
727
Half Precision Score
3155
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | daBukhari |
| Upload Date | November 18 2025 06:43 PM |
| Views | 2 |
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% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (Q)
|
99% |
2806
523.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
2880
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1796
2.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
8418
9.87 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
86% |
2622
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
809
9.62 IPS |
|
|
Face Detection (Q)
|
97% |
4247
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3660
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
939
7.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
6573
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6526
8.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4563
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
8533
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2282
84.5 IPS |
|
|
Text Classification (SP)
|
100% |
490
654.1 IPS |
|
|
Text Classification (HP)
|
100% |
361
482.2 IPS |
|
|
Text Classification (Q)
|
97% |
705
944.1 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
65% |
1432
28.8 IPS |
