ASUS System ROG CROSSHAIR X670E HERO ASUS System Product Name
Geekbench AI Score
6868
Single Precision Score
2710
Half Precision Score
12936
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 08:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4727
879.1 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.0 IPS |
|
|
Image Classification (Q)
|
99% |
12669
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5298
86.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20302
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14568
17.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
76853
90.1 IPS |
|
|
Object Detection (SP)
|
100% |
4944
392.1 IPS |
|
|
Object Detection (HP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (Q)
|
86% |
15927
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
9184
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
15906
189.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17792
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4101
31.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
28608
228.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37515
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31242
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52417
67.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4294
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5909
218.8 IPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2060
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5503
110.6 IPS |
