HUAWEI FLMH-XX
Geekbench AI Score
3237
Single Precision Score
1352
Half Precision Score
5772
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abalotaibi |
| Upload Date | October 17 2025 04:20 PM |
| Views | 15 |
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% |
2500
464.9 IPS |
|
|
Image Classification (HP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (Q)
|
99% |
4347
810.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6493
105.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5378
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3492
4.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
20407
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
4880
392.2 IPS |
|
|
Face Detection (SP)
|
100% |
7025
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
7720
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6934
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1815
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10526
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11809
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8346
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15867
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3844
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.0 IPS |
|
|
Text Classification (Q)
|
97% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2410
48.4 IPS |
