HUAWEI KLVF-XX
Geekbench AI Score
1518
Single Precision Score
626
Half Precision Score
2841
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | yaalroogy |
| Upload Date | October 12 2025 06:35 PM |
| Views | 4 |
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% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
99% |
2468
460.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
3919
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2390
2.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
10415
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
86% |
2800
225.0 IPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
714
8.49 IPS |
|
|
Face Detection (Q)
|
97% |
4202
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3172
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1165
8.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
7158
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4940
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4562
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12132
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1111
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.1 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.4 IPS |
|
|
Text Classification (Q)
|
97% |
411
550.7 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (Q)
|
65% |
729
14.7 IPS |
