HUAWEI BOHK-WAX9X
Geekbench AI Score
513
Single Precision Score
307
Half Precision Score
589
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jtaldaadi |
| Upload Date | April 09 2025 10:46 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI BOHK-WAX9X |
| Motherboard | HUAWEI BOHK-WAX9X-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
96% |
400
74.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
391
6.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
659
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
598
0.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
782
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
58% |
289
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
96% |
1079
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
468
3.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
1018
8.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1777
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1541
1.98 IPS |
|
|
Style Transfer (Q)
|
87% |
1931
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
366
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.8 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.7 IPS |
|
|
Text Classification (Q)
|
97% |
322
431.0 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.86 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
68% |
573
11.1 IPS |
