HUAWEI FLMH-XX
Geekbench AI Score
2625
Single Precision Score
1013
Half Precision Score
4752
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abalotaibi |
| Upload Date | November 20 2025 05:00 PM |
| Views | 8 |
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% |
2203
409.7 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
99% |
4554
849.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
6045
98.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4805
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
14760
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (Q)
|
86% |
4037
324.5 IPS |
|
|
Face Detection (SP)
|
100% |
5201
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
5377
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5579
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10322
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11071
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8256
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14134
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3065
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
470
627.9 IPS |
|
|
Text Classification (Q)
|
97% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1829
36.8 IPS |
