ASUS System Product Name
Geekbench ML Score
7721
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 02:16 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 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| 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% |
4184
783.0 IPS |
|
|
Image Classification (F16)
|
100% |
3936
736.5 IPS |
|
|
Image Classification (I8)
|
99% |
7918
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2258
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2379
39.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4143
69.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
17016
20.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
16658
20.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
47158
57.1 IPS |
|
|
Object Detection (F32)
|
100% |
4110
306.8 IPS |
|
|
Object Detection (F16)
|
100% |
4124
307.9 IPS |
|
|
Object Detection (I8)
|
62% |
3703
276.5 IPS |
|
|
Face Detection (F32)
|
100% |
7655
91.0 IPS |
|
|
Face Detection (F16)
|
100% |
7629
90.7 IPS |
|
|
Face Detection (I8)
|
89% |
8405
99.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
17251
133.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16572
128.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
33433
259.3 IPS |
|
|
Style Transfer (F32)
|
100% |
37274
49.0 IPS |
|
|
Style Transfer (F16)
|
100% |
37408
49.2 IPS |
|
|
Style Transfer (I8)
|
98% |
40803
53.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6864
245.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6873
245.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7193
256.9 IPS |
|
|
Text Classification (F32)
|
100% |
3257
4.68 KIPS |
|
|
Text Classification (F16)
|
100% |
3255
4.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1850
2.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
4218
77.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4401
81.0 IPS |
|
|
Machine Translation (I8)
|
67% |
5331
98.1 IPS |
