HUAWEI FLMH-XX
Geekbench AI Score
2548
Single Precision Score
1184
Half Precision Score
4991
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Mm_alhassani |
| Upload Date | April 18 2026 07:07 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| 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 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
99% |
4551
848.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5936
96.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4574
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
15476
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
3600
289.3 IPS |
|
|
Face Detection (SP)
|
100% |
5634
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
6570
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1744
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9662
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10379
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7417
9.53 IPS |
|
|
Style Transfer (Q)
|
98% |
14700
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
603
804.8 IPS |
|
|
Text Classification (Q)
|
97% |
1138
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1639
32.9 IPS |
