ASUS System Product Name
Geekbench ML Score
5750
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 02:32 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 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 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% |
2164
404.9 IPS |
|
|
Image Classification (F16)
|
100% |
2163
404.7 IPS |
|
|
Image Classification (I8)
|
99% |
5861
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1958
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2184
36.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4289
71.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
21574
26.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12575
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
56921
68.9 IPS |
|
|
Object Detection (F32)
|
100% |
2351
175.5 IPS |
|
|
Object Detection (F16)
|
100% |
2349
175.4 IPS |
|
|
Object Detection (I8)
|
62% |
2471
184.5 IPS |
|
|
Face Detection (F32)
|
100% |
4413
52.5 IPS |
|
|
Face Detection (F16)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (I8)
|
89% |
6406
76.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
10231
79.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10263
79.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
26483
205.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27127
35.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26628
35.0 IPS |
|
|
Style Transfer (I8)
|
98% |
39201
51.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5669
202.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4179
149.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6220
222.1 IPS |
|
|
Text Classification (F32)
|
100% |
2351
3.38 KIPS |
|
|
Text Classification (F16)
|
100% |
2069
2.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1444
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
3371
62.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3924
72.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4458
82.0 IPS |
