ASUS System Product Name
Geekbench ML Score
3981
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 19 2024 02:18 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1730
323.7 IPS |
|
|
Image Classification (F16)
|
100% |
1719
321.6 IPS |
|
|
Image Classification (I8)
|
97% |
3687
689.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2189
36.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2179
36.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
2546
42.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10012
12.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
10016
12.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
19048
23.1 IPS |
|
|
Object Detection (F32)
|
100% |
1904
142.2 IPS |
|
|
Object Detection (F16)
|
100% |
1894
141.4 IPS |
|
|
Object Detection (I8)
|
60% |
1793
133.9 IPS |
|
|
Face Detection (F32)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (F16)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (I8)
|
87% |
4900
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8738
67.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8746
67.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
14412
111.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21050
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21000
27.6 IPS |
|
|
Style Transfer (I8)
|
85% |
23367
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3309
118.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3287
117.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4198
149.9 IPS |
|
|
Text Classification (F32)
|
100% |
1495
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1494
2.15 KIPS |
|
|
Text Classification (I8)
|
94% |
379
545.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2583
47.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2582
47.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3015
55.5 IPS |
