ASUS System Product Name
Geekbench ML Score
4351
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 11:53 AM |
| 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 7600X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 96.0 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% |
2161
404.4 IPS |
|
|
Image Classification (F16)
|
100% |
2151
402.6 IPS |
|
|
Image Classification (I8)
|
99% |
4781
894.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2067
34.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1971
32.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3182
53.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5717
6.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
5792
7.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
20454
24.8 IPS |
|
|
Object Detection (F32)
|
100% |
2231
166.6 IPS |
|
|
Object Detection (F16)
|
100% |
2207
164.8 IPS |
|
|
Object Detection (I8)
|
62% |
2320
173.2 IPS |
|
|
Face Detection (F32)
|
100% |
5426
64.5 IPS |
|
|
Face Detection (F16)
|
100% |
5523
65.7 IPS |
|
|
Face Detection (I8)
|
89% |
6636
78.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7137
55.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7162
55.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
17081
132.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14944
19.7 IPS |
|
|
Style Transfer (F16)
|
100% |
14936
19.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26562
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2810
100.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3099
110.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4600
164.3 IPS |
|
|
Text Classification (F32)
|
100% |
1910
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1910
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1395
2.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
2686
49.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2756
50.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4169
76.7 IPS |
