HUAWEI HN-WX9X
Geekbench AI Score
467
Single Precision Score
307
Half Precision Score
488
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HUAWEI HN-WX9X |
| Motherboard | HUAWEI HN-WX9X-PCB |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.8 IPS |
|
|
Image Classification (Q)
|
96% |
352
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
352
5.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
87% |
745
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
86% |
280
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.62 IPS |
|
|
Face Detection (Q)
|
96% |
775
9.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
457
3.52 IPS |
|
|
Depth Estimation (Q)
|
77% |
786
6.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1848
2.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1543
1.98 IPS |
|
|
Style Transfer (Q)
|
87% |
1979
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
362
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
412
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.7 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.1 IPS |
|
|
Text Classification (Q)
|
97% |
143
191.0 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
60% |
421
9.40 IPS |
