HUAWEI BOHK-WAX9X
Geekbench AI Score
581
Single Precision Score
362
Half Precision Score
683
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AAAbdl |
| Upload Date | April 11 2025 03:27 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
389
72.3 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
534
99.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
456
7.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
978
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (Q)
|
58% |
378
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (Q)
|
96% |
1308
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
975
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
560
4.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
1232
9.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1985
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1723
2.22 IPS |
|
|
Style Transfer (Q)
|
87% |
2226
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
496
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
380
506.6 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.2 IPS |
|
|
Text Classification (Q)
|
97% |
215
288.3 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (Q)
|
68% |
644
12.5 IPS |
