HONOR FMB-P
Geekbench AI Score
5229
Single Precision Score
10149
Half Precision Score
15626
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BJSAIF |
| Upload Date | March 08 2026 07:10 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HONOR FMB-P |
| Motherboard | HONOR FMB-P-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
3532
656.8 IPS |
|
|
Image Classification (HP)
|
100% |
7013
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9846
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3476
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7170
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
34608
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72977
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
5988
475.0 IPS |
|
|
Object Detection (Q)
|
88% |
10274
823.7 IPS |
|
|
Face Detection (SP)
|
100% |
7861
93.4 IPS |
|
|
Face Detection (HP)
|
100% |
17759
211.0 IPS |
|
|
Face Detection (Q)
|
100% |
33188
394.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8207
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19068
146.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
35872
279.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20129
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57106
73.4 IPS |
|
|
Style Transfer (Q)
|
98% |
100189
129.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15928
588.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30229
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3345
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2064
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4512
77.7 IPS |
