HUAWEI KLVF-XX
Geekbench AI Score
1761
Single Precision Score
785
Half Precision Score
3407
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | daBukhari |
| Upload Date | November 18 2025 06:10 PM |
| Views | 6 |
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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
99% |
2633
491.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
3752
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2070
2.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
8347
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
86% |
2876
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (Q)
|
97% |
3090
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3100
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1107
8.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
7611
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7616
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
5380
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
12480
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2200
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
729
973.7 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.5 IPS |
|
|
Text Classification (Q)
|
97% |
824
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (Q)
|
65% |
1672
33.6 IPS |
