HONOR NMH-WCX9
Geekbench AI Score
779
Single Precision Score
776
Half Precision Score
768
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | dastuchar |
| Upload Date | October 03 2025 07:25 AM |
| Views | 5 |
| Notes | in Performance Mode |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | HONOR NMH-WCX9 |
| Motherboard | HONOR NMH-WCX9-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
590
109.8 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.0 IPS |
|
|
Image Classification (Q)
|
99% |
509
94.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
547
8.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
829
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
1519
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (Q)
|
85% |
449
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
1051
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
813
6.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
849
6.54 IPS |
|
|
Depth Estimation (Q)
|
63% |
957
8.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1271
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1295
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2503
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
781
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
483
648.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
58% |
396
9.30 IPS |
