HONOR MRB-XXX
Geekbench AI Score
2033
Single Precision Score
797
Half Precision Score
3234
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HONOR MRB-XXX |
| Motherboard | HONOR MRB-XXX-PCB |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (Q)
|
99% |
1960
365.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
4320
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
11001
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.3 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.6 IPS |
|
|
Object Detection (Q)
|
86% |
2630
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
4006
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3580
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
6887
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7903
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5505
7.08 IPS |
|
|
Style Transfer (Q)
|
98% |
12246
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2095
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
613
817.6 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.0 IPS |
|
|
Text Classification (Q)
|
97% |
581
778.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1245
25.0 IPS |
