HUAWEI FLMH-XX
Geekbench AI Score
2019
Single Precision Score
7259
Half Precision Score
10442
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 19 2025 02:23 PM |
| Views | 75 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview Single Language (64-bit) |
| Model | HUAWEI FLMH-XX |
| Motherboard | HUAWEI FLMH-XX-PCB |
| Power Plan | Dengeli |
| 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% |
1229
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
4884
908.3 IPS |
|
|
Image Classification (Q)
|
100% |
6296
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2923
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
29252
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
61504
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
4286
340.0 IPS |
|
|
Object Detection (Q)
|
87% |
6284
504.4 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
11238
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
17298
205.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2791
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15787
121.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
28057
218.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11612
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43475
55.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75853
97.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11411
421.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17819
659.9 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2133
36.7 IPS |
