HUAWEI BOHK-WAX9X
Geekbench AI Score
606
Single Precision Score
362
Half Precision Score
672
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rhalmnhali |
| Upload Date | March 02 2026 06:57 PM |
| Views | 7 |
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% |
420
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
501
8.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
724
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
911
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
58% |
348
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (Q)
|
96% |
1228
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1030
7.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
1108
8.84 IPS |
|
|
Style Transfer (SP)
|
100% |
2030
2.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1638
2.11 IPS |
|
|
Style Transfer (Q)
|
87% |
2249
2.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
542
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
516
688.9 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (Q)
|
97% |
204
273.0 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (Q)
|
68% |
653
12.6 IPS |
