HUAWEI FLMH-XX
Geekbench AI Score
2210
Single Precision Score
1076
Half Precision Score
4262
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BkAlZahrani |
| Upload Date | March 08 2026 07:37 PM |
| Views | 23 |
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% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
99% |
4240
790.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3507
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
11940
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
3635
292.2 IPS |
|
|
Face Detection (SP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
5889
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4249
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1508
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8167
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8384
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6453
8.30 IPS |
|
|
Style Transfer (Q)
|
98% |
11482
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2521
93.4 IPS |
|
|
Text Classification (SP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
381
508.8 IPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2061
41.4 IPS |
