HUAWEI FLMH-XX
Geekbench AI Score
2119
Single Precision Score
791
Half Precision Score
3653
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GAAlmunimi |
| Upload Date | October 20 2025 11:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI FLMH-XX |
| Motherboard | HUAWEI FLMH-XX-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
99% |
2868
535.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
4578
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3170
3.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
14509
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.7 IPS |
|
|
Object Detection (Q)
|
86% |
3052
245.3 IPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (Q)
|
97% |
4401
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5126
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1142
8.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
7461
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9653
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7190
9.24 IPS |
|
|
Style Transfer (Q)
|
98% |
10991
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1345
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2228
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
651
869.1 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.6 IPS |
|
|
Text Classification (Q)
|
97% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (Q)
|
65% |
1191
23.9 IPS |
