HUAWEI FLMH-XX
Geekbench AI Score
2116
Single Precision Score
1058
Half Precision Score
3722
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 08:29 PM |
| Views | 2 |
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 |
| Power Plan | Balanced |
| 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% |
2161
401.9 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
4311
804.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4463
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4497
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
12281
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
504
39.9 IPS |
|
|
Object Detection (Q)
|
86% |
3140
252.4 IPS |
|
|
Face Detection (SP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
4532
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4344
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7393
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7962
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6421
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
10107
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1334
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2526
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
371
495.6 IPS |
|
|
Text Classification (Q)
|
97% |
684
916.6 IPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
1176
23.6 IPS |