ASUS System Product Name
Geekbench ML Score
3290
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B550-CREATOR |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2116
396.0 IPS |
|
|
Image Classification (F16)
|
100% |
2164
404.9 IPS |
|
|
Image Classification (I8)
|
97% |
3551
664.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1955
32.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1915
32.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1909
31.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5542
6.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
4989
6.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
10584
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1914
142.9 IPS |
|
|
Object Detection (F16)
|
100% |
1874
139.9 IPS |
|
|
Object Detection (I8)
|
60% |
1960
146.3 IPS |
|
|
Face Detection (F32)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (F16)
|
100% |
2376
28.3 IPS |
|
|
Face Detection (I8)
|
87% |
3568
42.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6702
52.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6550
50.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
9641
74.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13782
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13830
18.2 IPS |
|
|
Style Transfer (I8)
|
85% |
12540
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3087
110.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2999
107.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3398
121.3 IPS |
|
|
Text Classification (F32)
|
100% |
1910
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1923
2.76 KIPS |
|
|
Text Classification (I8)
|
94% |
408
586.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2272
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2229
41.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2753
50.7 IPS |
