HUAWEI FLMH-XX
Geekbench AI Score
2470
Single Precision Score
1047
Half Precision Score
3761
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | msalhashmi |
| Upload Date | March 06 2026 02:32 AM |
| Views | 10 |
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% |
1973
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (Q)
|
99% |
3605
672.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3993
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4754
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
15288
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
3195
256.8 IPS |
|
|
Face Detection (SP)
|
100% |
5001
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
5706
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4908
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1580
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8634
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10332
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7014
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
14456
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3276
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
502
670.0 IPS |
|
|
Text Classification (Q)
|
97% |
1041
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
65% |
332
6.68 IPS |
