HUAWEI KLVF-XX
Geekbench AI Score
1629
Single Precision Score
744
Half Precision Score
3326
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | daBukhari |
| Upload Date | October 22 2025 03:03 AM |
| Views | 5 |
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% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.1 IPS |
|
|
Image Classification (Q)
|
99% |
2208
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
3495
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
7986
9.36 IPS |
|
|
Object Detection (SP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
86% |
2695
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
4315
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3363
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1025
7.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
6767
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6329
8.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4189
5.39 IPS |
|
|
Style Transfer (Q)
|
98% |
11390
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2330
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
394
526.4 IPS |
|
|
Text Classification (Q)
|
97% |
891
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1447
29.1 IPS |
