HUAWEI KLVF-XX
Geekbench AI Score
1742
Single Precision Score
762
Half Precision Score
3393
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | daBukhari |
| Upload Date | October 15 2025 01:41 PM |
| Views | 10 |
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% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
99% |
2822
526.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
3312
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2970
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
8175
9.59 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
86% |
2688
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (Q)
|
97% |
4958
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3835
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
990
7.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
7078
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6974
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
4819
6.19 IPS |
|
|
Style Transfer (Q)
|
98% |
11164
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2629
97.3 IPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
360
481.0 IPS |
|
|
Text Classification (Q)
|
97% |
647
866.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
65% |
1478
29.7 IPS |
