ASUS System Product Name
Geekbench ML Score
3287
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:23 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% |
2086
390.3 IPS |
|
|
Image Classification (F16)
|
100% |
2191
409.9 IPS |
|
|
Image Classification (I8)
|
97% |
3559
665.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1940
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1865
31.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1875
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5209
6.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
5430
6.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
10682
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1928
144.0 IPS |
|
|
Object Detection (F16)
|
100% |
1903
142.1 IPS |
|
|
Object Detection (I8)
|
60% |
1967
146.8 IPS |
|
|
Face Detection (F32)
|
100% |
2327
27.7 IPS |
|
|
Face Detection (F16)
|
100% |
2155
25.6 IPS |
|
|
Face Detection (I8)
|
87% |
3568
42.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6698
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6622
51.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
9800
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
13893
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13820
18.2 IPS |
|
|
Style Transfer (I8)
|
85% |
12108
15.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3087
110.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3091
110.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3591
128.3 IPS |
|
|
Text Classification (F32)
|
100% |
1897
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1933
2.78 KIPS |
|
|
Text Classification (I8)
|
94% |
406
583.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2328
42.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2281
42.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2720
50.1 IPS |
