HUAWEI FLMH-XX
Geekbench AI Score
1930
Single Precision Score
814
Half Precision Score
3595
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shouq-2020 |
| Upload Date | November 19 2025 09:38 AM |
| Views | 6 |
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% |
1022
190.1 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.3 IPS |
|
|
Image Classification (Q)
|
99% |
1525
284.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
5285
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3770
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
11150
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
2853
229.3 IPS |
|
|
Face Detection (SP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.70 IPS |
|
|
Face Detection (Q)
|
97% |
4460
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4096
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1177
9.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
7237
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8126
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5387
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
10295
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3059
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
381
508.4 IPS |
|
|
Text Classification (Q)
|
97% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
65% |
1703
34.2 IPS |
