ASUS System Product Name
Geekbench AI Score
36445
Single Precision Score
50564
Half Precision Score
30203
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 09:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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% |
17205
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
18600
3.46 KIPS |
|
|
Image Classification (Q)
|
99% |
15286
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20982
340.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25225
408.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20158
327.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
213790
249.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
627252
731.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
194400
227.7 IPS |
|
|
Object Detection (SP)
|
100% |
15591
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
21779
1.73 KIPS |
|
|
Object Detection (Q)
|
87% |
13989
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
47947
569.7 IPS |
|
|
Face Detection (HP)
|
100% |
53114
631.1 IPS |
|
|
Face Detection (Q)
|
97% |
43864
523.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87957
677.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
130186
1.00 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72459
580.7 IPS |
|
|
Style Transfer (SP)
|
100% |
417162
536.3 IPS |
|
|
Style Transfer (HP)
|
100% |
738205
949.0 IPS |
|
|
Style Transfer (Q)
|
98% |
370144
477.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58056
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97544
3.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45574
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
5687
7.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
97% |
3686
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5916
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5864
101.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3815
71.6 IPS |
