HONOR MRB-XXX
Geekbench AI Score
8952
Single Precision Score
18527
Half Precision Score
22569
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 10 2025 06:56 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HONOR MRB-XXX |
| Motherboard | HONOR MRB-XXX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5683
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
9474
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
12424
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8328
135.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18382
298.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22813
369.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19424
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
74271
86.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
141907
166.1 IPS |
|
|
Object Detection (SP)
|
100% |
5405
428.7 IPS |
|
|
Object Detection (HP)
|
100% |
10608
841.4 IPS |
|
|
Object Detection (Q)
|
88% |
12828
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
12770
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
24344
289.3 IPS |
|
|
Face Detection (Q)
|
100% |
31927
379.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17876
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36089
278.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
50758
394.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48673
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
123424
158.7 IPS |
|
|
Style Transfer (Q)
|
98% |
183221
236.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9161
338.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24872
918.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25361
939.2 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
1972
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4391
75.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4476
77.1 IPS |
