HUAWEI FLMH-XX
Geekbench AI Score
1842
Single Precision Score
781
Half Precision Score
2965
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI FLMH-XX |
| Motherboard | HUAWEI FLMH-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
99% |
832
155.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
2162
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3799
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2861
3.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
10734
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
86% |
2659
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3833
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
4421
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3756
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
7017
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7538
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
5391
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11837
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1369
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2788
103.3 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
359
479.4 IPS |
|
|
Text Classification (Q)
|
97% |
733
982.0 IPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
65% |
1364
27.4 IPS |