HUAWEI BOHK-WAX9X
Geekbench AI Score
476
Single Precision Score
286
Half Precision Score
552
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aisalem |
| Upload Date | December 02 2025 03:55 PM |
| Views | 18 |
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 |
| 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% |
319
59.3 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
96% |
395
73.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
498
8.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
775
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
58% |
253
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (Q)
|
96% |
900
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
736
5.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
438
3.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
878
7.01 IPS |
|
|
Style Transfer (SP)
|
100% |
1660
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1470
1.89 IPS |
|
|
Style Transfer (Q)
|
87% |
1759
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
412
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
331
442.4 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.0 IPS |
|
|
Text Classification (Q)
|
97% |
237
317.0 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (Q)
|
68% |
506
9.77 IPS |
