HUAWEI KLVF-XX
Geekbench AI Score
2499
Single Precision Score
977
Half Precision Score
4297
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mm-Alnemari |
| Upload Date | March 28 2025 09:42 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI KLVF-XX |
| Motherboard | HUAWEI KLVF-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2170
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
99% |
3941
735.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2314
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3843
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2499
2.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
9210
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
3520
282.9 IPS |
|
|
Face Detection (SP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
6264
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4678
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1317
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8991
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8819
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6167
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
14813
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2797
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
501
668.2 IPS |
|
|
Text Classification (Q)
|
97% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
65% |
2386
47.9 IPS |
