HONOR FMB-P
Geekbench AI Score
5024
Single Precision Score
1994
Half Precision Score
8260
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HONOR FMB-P |
| Motherboard | HONOR FMB-P-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3887
722.9 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
99% |
8303
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3614
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8410
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5932
6.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
28312
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
3608
286.2 IPS |
|
|
Object Detection (HP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (Q)
|
86% |
8600
691.1 IPS |
|
|
Face Detection (SP)
|
100% |
9836
116.9 IPS |
|
|
Face Detection (HP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
11021
131.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11050
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2889
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17845
142.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19017
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14088
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24984
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2633
97.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1887
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4028
80.9 IPS |
