HONOR BMH-WDX9
Geekbench AI Score
3081
Single Precision Score
3081
Half Precision Score
4207
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 21 2025 03:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | HONOR BMH-WDX9 |
| Motherboard | HONOR BMH-WDX9-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 4.37 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (HP)
|
100% |
1867
347.3 IPS |
|
|
Image Classification (Q)
|
100% |
2852
530.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3071
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4840
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4848
5.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
6510
7.64 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1950
154.7 IPS |
|
|
Object Detection (Q)
|
87% |
2768
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
8464
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5629
43.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
7549
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13106
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13223
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18352
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3769
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
91% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2382
41.0 IPS |
