HONOR FMB-P
Geekbench AI Score
4326
Single Precision Score
1959
Half Precision Score
8147
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | wmalshihry |
| Upload Date | October 17 2025 10:59 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HONOR FMB-P |
| Motherboard | HONOR FMB-P-PCB |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2999
557.8 IPS |
|
|
Image Classification (HP)
|
100% |
738
137.2 IPS |
|
|
Image Classification (Q)
|
99% |
7328
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9948
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7282
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5497
6.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
24470
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3197
253.6 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
6890
553.8 IPS |
|
|
Face Detection (SP)
|
100% |
9127
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
10208
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9473
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2858
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15013
119.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16689
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23687
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3157
116.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2451
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5681
210.3 IPS |
|
|
Text Classification (SP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3056
61.4 IPS |
