HONOR HYM-WXX
Geekbench ML Score
2400
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HONOR HYM-WXX |
| Motherboard | HONOR HYM-WXX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1506
281.9 IPS |
|
|
Image Classification (F16)
|
100% |
1476
276.2 IPS |
|
|
Image Classification (I8)
|
97% |
2587
484.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1182
19.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
2022
33.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4045
4.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
4032
4.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
8398
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1315
98.2 IPS |
|
|
Object Detection (F16)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (I8)
|
60% |
1366
102.0 IPS |
|
|
Face Detection (F32)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (I8)
|
87% |
2622
31.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4250
33.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4489
34.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
7769
60.2 IPS |
|
|
Style Transfer (F32)
|
100% |
8858
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
9163
12.1 IPS |
|
|
Style Transfer (I8)
|
85% |
9918
13.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2031
72.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1813
64.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2337
83.5 IPS |
|
|
Text Classification (F32)
|
100% |
1361
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1498
2.15 KIPS |
|
|
Text Classification (I8)
|
94% |
939
1.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
1546
28.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1934
35.6 IPS |
