ASUS System Product Name
Geekbench ML Score
6499
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 20 2024 01:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.00 MB 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% |
3651
683.1 IPS |
|
|
Image Classification (F16)
|
100% |
3660
684.8 IPS |
|
|
Image Classification (I8)
|
99% |
7832
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2569
42.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2589
43.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4136
69.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11434
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
11902
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
38211
46.3 IPS |
|
|
Object Detection (F32)
|
100% |
2956
220.7 IPS |
|
|
Object Detection (F16)
|
100% |
3202
239.0 IPS |
|
|
Object Detection (I8)
|
62% |
3802
283.9 IPS |
|
|
Face Detection (F32)
|
100% |
4925
58.6 IPS |
|
|
Face Detection (F16)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (I8)
|
89% |
6529
77.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12588
97.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
12518
97.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
25886
200.7 IPS |
|
|
Style Transfer (F32)
|
100% |
26914
35.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26887
35.4 IPS |
|
|
Style Transfer (I8)
|
98% |
34031
44.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5736
204.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5739
205.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7386
263.8 IPS |
|
|
Text Classification (F32)
|
100% |
3125
4.49 KIPS |
|
|
Text Classification (F16)
|
100% |
2381
3.42 KIPS |
|
|
Text Classification (I8)
|
98% |
1926
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
3845
70.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4109
75.6 IPS |
|
|
Machine Translation (I8)
|
67% |
5245
96.5 IPS |
