ASUS System Product Name
Geekbench ML Score
1639
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS (WI-FI) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 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 | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
810
151.6 IPS |
|
|
Image Classification (F16)
|
100% |
779
145.8 IPS |
|
|
Image Classification (I8)
|
97% |
1343
251.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
739
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
747
12.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1057
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2985
3.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
3127
3.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
3932
4.76 IPS |
|
|
Object Detection (F32)
|
100% |
851
63.6 IPS |
|
|
Object Detection (F16)
|
100% |
887
66.3 IPS |
|
|
Object Detection (I8)
|
60% |
784
58.5 IPS |
|
|
Face Detection (F32)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (I8)
|
87% |
2339
27.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3448
26.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3566
27.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
4329
33.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7683
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
7590
9.98 IPS |
|
|
Style Transfer (I8)
|
85% |
8110
10.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1547
55.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1704
60.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1568
56.0 IPS |
|
|
Text Classification (F32)
|
100% |
829
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
797
1.15 KIPS |
|
|
Text Classification (I8)
|
94% |
266
382.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1143
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1429
26.3 IPS |
