HUAWEI FLMH-XX
Geekbench AI Score
2788
Single Precision Score
1210
Half Precision Score
4641
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Na_ayoub |
| Upload Date | October 24 2025 06:09 PM |
| Views | 3 |
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 |
| Power Plan | Balanced |
| 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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
99% |
4134
771.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1707
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
17289
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
4252
341.7 IPS |
|
|
Face Detection (SP)
|
100% |
5876
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
5583
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1848
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10658
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11752
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7989
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15843
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2122
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3699
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.0 IPS |
|
|
Text Classification (Q)
|
97% |
1067
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2403
48.3 IPS |
