HUAWEI NBLK-WAX9X
Geekbench ML Score
580
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 15 2024 03:06 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUAWEI NBLK-WAX9X |
| Motherboard | HUAWEI NBLK-WAX9X-PCB |
| Power Plan | Ultimate Performance |
| 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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
310
58.0 IPS |
|
|
Image Classification (F16)
|
100% |
311
58.1 IPS |
|
|
Image Classification (I8)
|
97% |
422
78.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
237
3.95 IPS |
|
|
Image Segmentation (I8)
|
97% |
384
6.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
681
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
602
0.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
998
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
318
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
356
26.6 IPS |
|
|
Object Detection (I8)
|
60% |
348
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
784
9.32 IPS |
|
|
Face Detection (F16)
|
100% |
733
8.71 IPS |
|
|
Face Detection (I8)
|
87% |
896
10.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1140
8.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
972
7.54 IPS |
|
|
Depth Estimation (I8)
|
74% |
1331
10.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2264
2.98 IPS |
|
|
Style Transfer (F16)
|
100% |
1994
2.62 IPS |
|
|
Style Transfer (I8)
|
85% |
2538
3.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
509
18.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
608
21.7 IPS |
|
|
Text Classification (F32)
|
100% |
501
719.5 IPS |
|
|
Text Classification (F16)
|
100% |
370
531.2 IPS |
|
|
Text Classification (I8)
|
94% |
156
224.5 IPS |
|
|
Machine Translation (F32)
|
100% |
530
9.75 IPS |
|
|
Machine Translation (F16)
|
100% |
505
9.30 IPS |
|
|
Machine Translation (I8)
|
67% |
639
11.8 IPS |
