HUAWEI BOHK-WAX9X
Geekbench AI Score
509
Single Precision Score
318
Half Precision Score
536
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rhalmnhali |
| Upload Date | March 08 2026 02:22 AM |
| Views | 8 |
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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
96% |
376
70.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
400
6.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
616
0.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
829
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
58% |
277
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (Q)
|
96% |
1011
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
496
3.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
988
7.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1816
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1529
1.97 IPS |
|
|
Style Transfer (Q)
|
87% |
1852
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
413
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.0 IPS |
|
|
Text Classification (HP)
|
100% |
182
242.9 IPS |
|
|
Text Classification (Q)
|
97% |
139
185.6 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
68% |
537
10.4 IPS |
