ASUS System Product Name
Geekbench ML Score
7327
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 01 2024 09:39 AM |
| Views | 3 |
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, 16 Threads |
| 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% |
4312
806.9 IPS |
|
|
Image Classification (F16)
|
100% |
2905
543.5 IPS |
|
|
Image Classification (I8)
|
99% |
8574
1.60 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3230
53.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3294
55.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4292
71.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
17007
20.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8754
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
55702
67.5 IPS |
|
|
Object Detection (F32)
|
100% |
4240
316.5 IPS |
|
|
Object Detection (F16)
|
100% |
2858
213.4 IPS |
|
|
Object Detection (I8)
|
62% |
2895
216.2 IPS |
|
|
Face Detection (F32)
|
100% |
10023
119.2 IPS |
|
|
Face Detection (F16)
|
100% |
10289
122.3 IPS |
|
|
Face Detection (I8)
|
89% |
9685
115.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
10543
81.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
18055
140.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
32430
251.5 IPS |
|
|
Style Transfer (F32)
|
100% |
39771
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
38560
50.7 IPS |
|
|
Style Transfer (I8)
|
98% |
38939
51.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4226
150.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4234
151.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6636
237.0 IPS |
|
|
Text Classification (F32)
|
100% |
2606
3.74 KIPS |
|
|
Text Classification (F16)
|
100% |
2587
3.72 KIPS |
|
|
Text Classification (I8)
|
98% |
1621
2.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
4904
90.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4906
90.3 IPS |
|
|
Machine Translation (I8)
|
67% |
5408
99.5 IPS |
